Attachment 11_Alternative Design Value 

Calculations.pdf
Design Value - BY 2002

Design 

Value 

Centered 

on Base 

Year 

Inventory

EPA 

Averag

AIRS ID Latitude Longitude TZone Site Name City Name County Name MSA Ozone 2000 2001 2002 2003 2004 2000-2002 2001-2003 2002-2004 AIRS ID 

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 5 Takoma Washington DC Washington,DC-MD-VA-WV 1 0.094 0.088 0.097 0.079 0.080 93 88 85 11-001-0025 

11-001-0041 38.8972 -76.9528 5 River Terrace Washington DC Washington,DC-MD-VA-WV 1 0.080 0.092 0.102 0.082 0.070 91 92 84 11-001-0041 11-001-0043 38.9189 -77.0125 5 McMillan Washington DC Washington,DC-MD-VA-WV 1 0.083 0.097 0.106 0.081 0.081 95 94 89 11-001-0043 24-009-0010 38.5400 -76.5839 5 Calvert Calvert Washington,DC-MD-VA-WV 1 0.088 0.087 24-009-001024-017-0010 38.5042 -76.8119 5 Southern MD Hughesville Charles Washington,DC-MD-VA-WV 1 0.093 0.091 0.098 0.093 0.083 94 94 91 24-017-0010 24-021-0037 39.4081 -77.3758 5 Frederick Municipal Airport Frederick Frederick Washington,DC-MD-VA-WV 1 0.086 0.094 0.095 0.077 0.077 91 88 83 24-021-0037 24-031-3001 39.1144 -77.1071 5 Rockville Rockville Montgomery Washington,DC-MD-VA-WV 1 0.082 0.095 0.092 0.077 0.080 89 88 83 24-031-3001 24-033-0002 39.0200 -76.8278 5 Greenbelt Greenbelt Prince George's Washington,DC-MD-VA-WV 1 0.090 0.099 0.098 0.083 95 93 24-033-0002 24-033-0030 39.0553 -76.8783 5 HU-Beltsville Beltsville Prince George's Washington,DC-MD-VA-WV 1 24-033-0030

24-033-8003 38.8121 -76.7444 5 PG Equestrian Center Prince George's Washington,DC-MD-VA-WV 1 0.101 0.097 0.086 94 24-033-8003 51-013-0020 38.8575 -77.0592 5 Aurora Hills Arlington County Washington,DC-MD-VA-WV 1 0.080 0.098 0.112 0.087 0.087 96 99 95 51-013-0020 51-059-0005 38.8939 -77.4653 5 Chantilly Fairfax County Washington,DC-MD-VA-WV 1 0.079 0.093 0.092 0.083 0.079 88 89 84 51-059-0005 51-059-0018 38.7425 -77.0775 5 Mount Vernon Fairfax County Washington,DC-MD-VA-WV 1 0.092 0.095 0.106 0.091 0.093 97 97 96 51-059-0018 51-059-0030 38.7728 -77.1056 5 Franconia Fairfax County Washington,DC-MD-VA-WV 1 0.074 0.096 0.108 0.089 0.092 92 97 96 51-059-0030 

51-059-1005 38.8375 -77.1632 5 Annandale Fairfax County Washington, DC-MD-VA-WV 1 0.108 0.083 0.091 94 51-059-1005 

51-059-5001 38.9319 -77.1989 5 McLean Fairfax County Washington,DC-MD-VA-WV 1 0.082 0.090 0.099 0.075 0.084 90 88 86 51-059-5001 51-107-1005 39.0244 -77.4900 5 Ashburn Loudoun County Washington,DC-MD-VA-WV 1 0.077 0.093 0.102 0.083 0.080 90 92 88 51-107-1005 

51-153-0009 38.8553 -77.6356 5 Long Park Prince William County Washington,DC-MD-VA-WV 1 0.079 0.089 0.087 0.086 0.077 85 87 83 51-153-0009 51-510-0009 38.8108 -77.0447 5 Alexandria Alexandria City Washington,DC-MD-VA-WV 1 0.077 0.091 0.103 0.083 0.080 90 92 88 51-510-0009 

Annual 4th Highest 8-Hour Ozone (ppm)

Appendix G Attachment 11 - Page Number: 1
RRF - EPA Method

OTC OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.8 87.6 0.896 24 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 98.9 88.0 0.890 22 8511-001-0043 38.9189 -77.0125 McMillan 121 80 98.9 88.0 0.890 22 8524-009-0010 38.5400 -76.5839 Calvert 124 78 103.7 87.4 0.843 35 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 97.7 80.0 0.819 17 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 92.0 79.0 0.859 11 8524-031-3001 39.1144 -77.1071 Rockville 120 82 96.8 85.7 0.885 26 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 97.4 85.1 0.874 28 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.4 83.0 0.870 28 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 98.6 88.4 0.897 24 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 97.9 85.2 0.870 18 8551-059-0018 38.7425 -77.0775 Mount Vernon 121 79 98.0 87.4 0.892 20 8551-059-0030 38.7728 -77.1056 Franconia 120 79 98.6 87.5 0.887 21 8551-059-1005 38.8375 -77.1632 Annandale 120 79 98.6 87.5 0.887 21 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 87.2 0.886 21 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 93.0 81.1 0.872 15 8551-153-0009 38.8553 -77.6356 Long Park 116 79 88.7 77.7 0.876 12 8351-510-0009 38.8108 -77.0447 Alexandria 121 79 98.0 87.4 0.892 20 85

OTC BOTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.8 87.4 0.894 24 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 98.9 87.8 0.888 22 8511-001-0043 38.9189 -77.0125 McMillan 121 80 98.9 87.8 0.888 22 8524-009-0010 38.5400 -76.5839 Calvert 124 78 103.7 87.0 0.839 35 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 97.7 79.7 0.816 17 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 92.0 77.9 0.847 11 8524-031-3001 39.1144 -77.1071 Rockville 120 82 96.8 85.5 0.883 26 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 97.4 84.9 0.872 28 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.4 82.8 0.868 28 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 98.6 88.3 0.896 24 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 97.9 85.0 0.868 18 8551-059-0018 38.7425 -77.0775 Mount Vernon 121 79 98.0 87.3 0.891 20 8551-059-0030 38.7728 -77.1056 Franconia 120 79 98.6 87.3 0.885 21 8551-059-1005 38.8375 -77.1632 Annandale 120 79 98.6 87.3 0.885 21 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 87.1 0.885 21 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 93.0 80.9 0.870 15 8551-153-0009 38.8553 -77.6356 Long Park 116 79 88.7 77.4 0.873 12 8351-510-0009 38.8108 -77.0447 Alexandria 121 79 98.0 87.3 0.891 20 85

Appendix G Attachment 11 - Page Number: 2
RRF - EPA Method

OTC BOTW + VA CAIR

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.8 87.2 0.892 24 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 98.9 87.3 0.883 22 8511-001-0043 38.9189 -77.0125 McMillan 121 80 98.9 87.3 0.883 22 8524-009-0010 38.5400 -76.5839 Calvert 124 78 103.7 86.7 0.836 35 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 97.7 78.9 0.808 17 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 92.0 77.8 0.846 11 8524-031-3001 39.1144 -77.1071 Rockville 120 82 96.8 85.3 0.881 26 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 97.4 84.6 0.869 28 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.4 82.5 0.865 28 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 98.6 87.9 0.891 24 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 97.9 84.9 0.867 18 8551-059-0018 38.7425 -77.0775 Mount Vernon 121 79 98.0 86.5 0.883 20 8551-059-0030 38.7728 -77.1056 Franconia 120 79 98.6 86.8 0.880 21 8551-059-1005 38.8375 -77.1632 Annandale 120 79 98.6 86.8 0.880 21 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 86.9 0.883 21 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 93.0 80.8 0.869 15 8551-153-0009 38.8553 -77.6356 Long Park 116 79 88.7 77.3 0.871 12 8351-510-0009 38.8108 -77.0447 Alexandria 121 79 98.0 86.5 0.883 20 85

ASIP OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 134 142 97.4 87.3 0.896 18 8511-001-0041 38.8972 -76.9528 River Terrace 134 141 97.2 88.1 0.906 18 8511-001-0043 38.9189 -77.0125 McMillan 134 141 97.2 88.1 0.906 18 8524-009-0010 38.5400 -76.5839 Calvert 138 139 100.8 89.5 0.888 31 8524-017-0010 38.5042 -76.8119 Southern MD 136 138 96.1 81.4 0.847 10 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 130 145 86.7 74.9 0.864 10 8324-031-3001 39.1144 -77.1071 Rockville 133 143 96.6 85.2 0.882 16 8524-033-0002 39.0200 -76.8278 Greenbelt 135 142 98.0 87.0 0.888 16 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 136 141 98.1 86.2 0.879 14 8551-013-0020 38.8575 -77.0592 Aurora Hills 134 141 97.2 88.1 0.906 18 8551-059-0005 38.8939 -77.4653 Chantilly 131 140 97.8 85.4 0.873 11 8451-059-0018 38.7425 -77.0775 Mount Vernon 134 140 99.2 89.1 0.898 15 8551-059-0030 38.7728 -77.1056 Franconia 134 140 99.2 89.1 0.898 15 8551-059-1005 38.8375 -77.1632 Annandale 133 140 98.5 87.9 0.892 15 8551-059-5001 38.9319 -77.1989 McLean 133 141 97.3 87.6 0.900 17 8551-107-1005 39.0244 -77.4900 Ashburn 130 141 92.1 80.2 0.871 11 8351-153-0009 38.8553 -77.6356 Long Park 130 140 92.9 80.8 0.870 10 8251-510-0009 38.8108 -77.0447 Alexandria 134 140 99.2 89.1 0.898 15 85

Appendix G Attachment 11 - Page Number: 3
RRF - 9 Cell Average Method

OTC OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 95.5 84.0 0.880 13 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 99.3 87.4 0.880 10 8511-001-0043 38.9189 -77.0125 McMillan 121 80 99.3 87.4 0.880 10 8524-009-0010 38.5400 -76.5839 Calvert 124 78 94.1 77.4 0.823 15 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 92.6 75.4 0.814 13 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 86.4 72.8 0.843 10 8124-031-3001 39.1144 -77.1071 Rockville 120 82 93.5 80.9 0.865 13 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 95.9 82.7 0.862 13 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.8 80.9 0.844 12 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.8 88.0 0.882 10 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 90.3 77.9 0.863 10 8151-059-0018 38.7425 -77.0775 Mount Vernon 121 79 97.1 85.5 0.881 11 8551-059-0030 38.7728 -77.1056 Franconia 120 79 99.0 87.2 0.881 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 99.0 87.2 0.881 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 96.7 84.4 0.873 10 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 84.4 73.9 0.876 12 7951-153-0009 38.8553 -77.6356 Long Park 116 79 79.9 69.4 0.869 11 7751-510-0009 38.8108 -77.0447 Alexandria 121 79 97.1 85.5 0.881 11 85

OTC BOTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 95.5 83.7 0.876 13 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 99.3 87.2 0.878 10 8511-001-0043 38.9189 -77.0125 McMillan 121 80 99.3 87.2 0.878 10 8524-009-0010 38.5400 -76.5839 Calvert 124 78 94.1 77.1 0.819 15 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 92.6 75.2 0.812 13 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 86.4 72.1 0.834 10 8124-031-3001 39.1144 -77.1071 Rockville 120 82 93.5 80.6 0.862 13 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 95.9 82.4 0.859 13 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.8 80.7 0.842 12 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.8 87.8 0.880 10 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 90.3 77.6 0.859 10 8151-059-0018 38.7425 -77.0775 Mount Vernon 121 79 97.1 85.2 0.877 11 8551-059-0030 38.7728 -77.1056 Franconia 120 79 99.0 87.0 0.879 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 99.0 87.0 0.879 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 96.7 84.1 0.870 10 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 84.4 73.7 0.873 12 7951-153-0009 38.8553 -77.6356 Long Park 116 79 79.9 69.2 0.866 11 7751-510-0009 38.8108 -77.0447 Alexandria 121 79 97.1 85.2 0.877 11 85

Appendix G Attachment 11 - Page Number: 4
RRF - 9 Cell Average Method

OTC BOTW + VA CAIR

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 95.5 83.5 0.874 13 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 99.3 86.6 0.872 10 8511-001-0043 38.9189 -77.0125 McMillan 121 80 99.3 86.6 0.872 10 8524-009-0010 38.5400 -76.5839 Calvert 124 78 94.1 76.7 0.815 15 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 92.6 74.6 0.806 13 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 86.4 72 0.833 10 8124-031-3001 39.1144 -77.1071 Rockville 120 82 93.5 80.5 0.861 13 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 95.9 82.2 0.857 13 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.8 80.3 0.838 12 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.8 87.3 0.875 10 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 90.3 77.5 0.858 10 8151-059-0018 38.7425 -77.0775 Mount Vernon 121 79 97.1 84.7 0.872 11 8551-059-0030 38.7728 -77.1056 Franconia 120 79 99.0 86.4 0.873 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 99.0 86.4 0.873 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 96.7 84 0.869 10 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 84.4 73.6 0.872 12 7951-153-0009 38.8553 -77.6356 Long Park 116 79 79.9 69.1 0.865 11 7751-510-0009 38.8108 -77.0447 Alexandria 121 79 97.1 84.7 0.872 11 85

ASIP OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 134 142 95.8 84.6 0.883 10 8511-001-0041 38.8972 -76.9528 River Terrace 134 141 95.7 85.3 0.891 10 8411-001-0043 38.9189 -77.0125 McMillan 134 141 95.7 85.3 0.891 10 8424-009-0010 38.5400 -76.5839 Calvert 138 139 94.7 82.3 0.869 17 8524-017-0010 38.5042 -76.8119 Southern MD 136 138 87.7 74.1 0.845 12 7824-021-0037 39.4081 -77.3758 Frederick Municipal Airport 130 145 81.2 70.5 0.868 12 7824-031-3001 39.1144 -77.1071 Rockville 133 143 92.1 80.0 0.869 10 8524-033-0002 39.0200 -76.8278 Greenbelt 135 142 95.8 84.1 0.878 10 8424-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 136 141 94.1 81.3 0.864 11 8551-013-0020 38.8575 -77.0592 Aurora Hills 134 141 95.7 85.3 0.891 10 8451-059-0005 38.8939 -77.4653 Chantilly 131 140 88.2 76.7 0.870 10 7751-059-0018 38.7425 -77.0775 Mount Vernon 134 140 95.1 84.6 0.890 10 8551-059-0030 38.7728 -77.1056 Franconia 134 140 95.1 84.6 0.890 10 8551-059-1005 38.8375 -77.1632 Annandale 133 140 92.8 82.8 0.892 12 8251-059-5001 38.9319 -77.1989 McLean 133 141 94.9 84.7 0.893 10 8451-107-1005 39.0244 -77.4900 Ashburn 130 141 82.4 71.6 0.869 11 7651-153-0009 38.8553 -77.6356 Long Park 130 140 81.8 71.2 0.870 10 7451-510-0009 38.8108 -77.0447 Alexandria 134 140 95.1 84.6 0.890 10 85

Appendix G Attachment 11 - Page Number: 5
RRF - Grid Cell Only

OTC OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.4 86.5 0.888 15 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 97.7 89.7 0.918 10 8311-001-0043 38.9189 -77.0125 McMillan 121 80 97.7 89.7 0.918 10 8324-009-0010 38.5400 -76.5839 Calvert 124 78 92.6 75.7 0.817 13 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 93.9 75.5 0.804 12 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 88.1 75.8 0.860 10 8224-031-3001 39.1144 -77.1071 Rockville 120 82 94.2 81.4 0.864 17 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 96.2 83.0 0.863 16 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.1 80.2 0.843 13 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.3 89.1 0.897 11 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 86.4 76.8 0.889 10 7751-059-0018 38.7425 -77.0775 Mount Vernon 121 79 99.8 88.1 0.883 12 8551-059-0030 38.7728 -77.1056 Franconia 120 79 100.4 88.6 0.882 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 100.4 88.6 0.882 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 85.3 0.867 13 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 88.4 77.7 0.879 12 8351-153-0009 38.8553 -77.6356 Long Park 116 79 79.4 69.1 0.870 10 7551-510-0009 38.8108 -77.0447 Alexandria 121 79 99.8 88.1 0.883 12 85

OTC BOTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.4 86.3 0.886 15 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 97.7 89.5 0.916 10 8311-001-0043 38.9189 -77.0125 McMillan 121 80 97.7 89.5 0.916 10 8324-009-0010 38.5400 -76.5839 Calvert 124 78 92.6 75.5 0.815 13 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 93.9 75.3 0.802 12 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 88.1 74.4 0.844 10 8224-031-3001 39.1144 -77.1071 Rockville 120 82 94.2 81.1 0.861 17 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 96.2 82.7 0.860 16 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.1 79.9 0.840 13 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.3 88.9 0.895 11 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 86.4 76.7 0.888 10 7751-059-0018 38.7425 -77.0775 Mount Vernon 121 79 99.8 87.9 0.881 12 8551-059-0030 38.7728 -77.1056 Franconia 120 79 100.4 88.5 0.881 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 100.4 88.5 0.881 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 85.1 0.865 13 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 88.4 77.4 0.876 12 8351-153-0009 38.8553 -77.6356 Long Park 116 79 79.4 68.9 0.868 10 7551-510-0009 38.8108 -77.0447 Alexandria 121 79 99.8 87.9 0.881 12 85

Appendix G Attachment 11 - Page Number: 6
RRF - Grid Cell Only

OTC BOTW + VA CAIR

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 120 81 97.4 86.3 0.886 15 8511-001-0041 38.8972 -76.9528 River Terrace 121 80 97.7 88.8 0.909 10 8311-001-0043 38.9189 -77.0125 McMillan 121 80 97.7 88.8 0.909 10 8324-009-0010 38.5400 -76.5839 Calvert 124 78 92.6 75.0 0.810 13 8524-017-0010 38.5042 -76.8119 Southern MD 123 77 93.9 74.6 0.794 12 8524-021-0037 39.4081 -77.3758 Frederick Municipal Airport 117 84 88.1 74.4 0.844 10 8224-031-3001 39.1144 -77.1071 Rockville 120 82 94.2 81.0 0.860 17 8524-033-0002 39.0200 -76.8278 Greenbelt 122 81 96.2 82.4 0.857 16 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 123 80 95.1 79.6 0.837 13 8551-013-0020 38.8575 -77.0592 Aurora Hills 120 80 99.3 88.7 0.893 11 8551-059-0005 38.8939 -77.4653 Chantilly 118 79 86.4 76.7 0.888 10 7751-059-0018 38.7425 -77.0775 Mount Vernon 121 79 99.8 86.6 0.868 12 8551-059-0030 38.7728 -77.1056 Franconia 120 79 100.4 88.1 0.877 10 8551-059-1005 38.8375 -77.1632 Annandale 120 79 100.4 88.1 0.877 10 8551-059-5001 38.9319 -77.1989 McLean 119 80 98.4 85.0 0.864 13 8551-107-1005 39.0244 -77.4900 Ashburn 117 80 88.4 77.3 0.874 12 8351-153-0009 38.8553 -77.6356 Long Park 116 79 79.4 68.8 0.866 10 7551-510-0009 38.8108 -77.0447 Alexandria 121 79 99.8 86.6 0.868 12 85

ASIP OTB/OTW

AIRS ID Latitude Longitude Site Name I J 2002 2009 RRF NDAY CUTOFF

MONITORS WITHIN DC MSA

11-001-0025 38.9753 -77.0228 Takoma 134 142 96.7 86.9 0.899 11 8511-001-0041 38.8972 -76.9528 River Terrace 134 141 92.7 85.7 0.924 11 8211-001-0043 38.9189 -77.0125 McMillan 134 141 92.7 85.7 0.924 11 8224-009-0010 38.5400 -76.5839 Calvert 138 139 99.2 87.1 0.878 24 8524-017-0010 38.5042 -76.8119 Southern MD 136 138 90.0 74.7 0.830 10 7924-021-0037 39.4081 -77.3758 Frederick Municipal Airport 130 145 83.7 73.0 0.872 12 7924-031-3001 39.1144 -77.1071 Rockville 133 143 92.2 80.4 0.872 11 8524-033-0002 39.0200 -76.8278 Greenbelt 135 142 95.8 83.9 0.876 13 8524-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA24-033-8003 38.8121 -76.7444 PG Equestrian Center 136 141 94.0 80.3 0.854 11 8551-013-0020 38.8575 -77.0592 Aurora Hills 134 141 92.7 85.7 0.924 11 8251-059-0005 38.8939 -77.4653 Chantilly 131 140 89.2 78.5 0.880 10 7751-059-0018 38.7425 -77.0775 Mount Vernon 134 140 96.5 86.7 0.898 11 8551-059-0030 38.7728 -77.1056 Franconia 134 140 96.5 86.7 0.898 11 8551-059-1005 38.8375 -77.1632 Annandale 133 140 96.1 86.4 0.899 12 8551-059-5001 38.9319 -77.1989 McLean 133 141 96.9 87.2 0.900 10 8551-107-1005 39.0244 -77.4900 Ashburn 130 141 84.4 72.8 0.863 10 7851-153-0009 38.8553 -77.6356 Long Park 130 140 81.4 70.4 0.865 10 7451-510-0009 38.8108 -77.0447 Alexandria 134 140 96.5 86.7 0.898 11 85

Appendix G Attachment 11 - Page Number: 7
RRF - Summary

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EP

Met

AIRS ID Latitude Longitude Site Name RRF RRF RRF RRF RRF RRF RRF RRF RRF RR

11-001-0025 38.9753 -77.0228 Takoma 0.896 0.88 0.888 0.894 0.876 0.886 0.892 0.874 0.886 0.8

11-001-0041 38.8972 -76.9528 River Terrace 0.89 0.88 0.918 0.888 0.878 0.916 0.883 0.872 0.909 0.911-001-0043 38.9189 -77.0125 McMillan 0.89 0.88 0.918 0.888 0.878 0.916 0.883 0.872 0.909 0.924-009-0010 38.5400 -76.5839 Calvert 0.843 0.823 0.817 0.839 0.819 0.815 0.836 0.815 0.81 0.824-017-0010 38.5042 -76.8119 Southern MD 0.819 0.814 0.804 0.816 0.812 0.802 0.808 0.806 0.794 0.824-021-0037 39.4081 -77.3758 Frederick Municipal Airport 0.859 0.843 0.86 0.847 0.834 0.844 0.846 0.833 0.844 0.824-031-3001 39.1144 -77.1071 Rockville 0.885 0.865 0.864 0.883 0.862 0.861 0.881 0.861 0.86 0.824-033-0002 39.0200 -76.8278 Greenbelt 0.874 0.862 0.863 0.872 0.859 0.86 0.869 0.857 0.857 0.824-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA NA NA N24-033-8003 38.8121 -76.7444 PG Equestrian Center 0.87 0.844 0.843 0.868 0.842 0.84 0.865 0.838 0.837 0.851-013-0020 38.8575 -77.0592 Aurora Hills 0.897 0.882 0.897 0.896 0.88 0.895 0.891 0.875 0.893 0.951-059-0005 38.8939 -77.4653 Chantilly 0.87 0.863 0.889 0.868 0.859 0.888 0.867 0.858 0.888 0.851-059-0018 38.7425 -77.0775 Mount Vernon 0.892 0.881 0.883 0.891 0.877 0.881 0.883 0.872 0.868 0.851-059-0030 38.7728 -77.1056 Franconia 0.887 0.881 0.882 0.885 0.879 0.881 0.88 0.873 0.877 0.851-059-1005 38.8375 -77.1632 Annandale 0.887 0.881 0.882 0.885 0.879 0.881 0.88 0.873 0.877 0.851-059-5001 38.9319 -77.1989 McLean 0.886 0.873 0.867 0.885 0.87 0.865 0.883 0.869 0.864 0.51-107-1005 39.0244 -77.4900 Ashburn 0.872 0.876 0.879 0.87 0.873 0.876 0.869 0.872 0.874 0.851-153-0009 38.8553 -77.6356 Long Park 0.876 0.869 0.87 0.873 0.866 0.868 0.871 0.865 0.866 0.851-510-0009 38.8108 -77.0447 Alexandria 0.892 0.881 0.883 0.891 0.877 0.881 0.883 0.872 0.868 0.8

Relative Reduction Factor Summary

MONITORS OTC OTB/OTW OTC BOTW OTC BOTW+VA CAIR 

Appendix G Attachment 11 - Page Number: 8
Future Design Value Calculations

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid C

Only Me

AIRS ID Latitude Longitude Site Name DVF DVF DVF DVF DVF DVF DVF DVF DVF 

11-001-0025 38.9753 -77.0228 Takoma 79 78 78 79 77 78 79 77 78 

11-001-0041 38.8972 -76.9528 River Terrace 79 78 81 79 78 81 78 77 80 11-001-0043 38.9189 -77.0125 McMillan 82 81 85 82 81 84 81 80 84 24-009-0010 38.5400 -76.5839 Calvert NA NA NA NA NA NA NA NA NA 24-017-0010 38.5042 -76.8119 Southern MD 76 75 74 75 75 74 75 74 73 24-021-0037 39.4081 -77.3758 Frederick Municipal Airport 74 73 75 73 72 73 73 72 73 24-031-3001 39.1144 -77.1071 Rockville 76 74 74 76 74 74 76 74 74 24-033-0002 39.0200 -76.8278 Greenbelt 82 81 81 81 80 80 81 80 80 24-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA NA NA 24-033-8003 38.8121 -76.7444 PG Equestrian Center 81 79 79 81 79 78 81 78 78 51-013-0020 38.8575 -77.0592 Aurora Hills 86 85 86 86 85 86 86 84 86 51-059-0005 38.8939 -77.4653 Chantilly 75 75 77 75 74 77 75 74 77 51-059-0018 38.7425 -77.0775 Mount Vernon 86 85 85 86 84 85 85 84 83 51-059-0030 38.7728 -77.1056 Franconia 84 83 83 84 83 83 83 82 83 51-059-1005 38.8375 -77.1632 Annandale 83 82 82 83 82 82 82 82 82 51-059-5001 38.9319 -77.1989 McLean 77 76 76 77 76 76 77 76 76 51-107-1005 39.0244 -77.4900 Ashburn 78 78 79 78 78 78 78 78 78 51-153-0009 38.8553 -77.6356 Long Park 74 73 73 74 73 73 74 73 73 51-510-0009 38.8108 -77.0447 Alexandria 80 79 79 80 78 79 79 78 78 

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid C

Only Me

AIRS ID Latitude Longitude Site Name DVF DVF DVF DVF DVF DVF DVF DVF DVF 

11-001-0025 38.9753 -77.0228 Takoma 78 77 78 78 77 77 78 76 77 

11-001-0041 38.8972 -76.9528 River Terrace 81 80 84 81 80 84 81 80 83 11-001-0043 38.9189 -77.0125 McMillan 83 82 86 83 82 86 83 81 85 24-009-0010 38.5400 -76.5839 Calvert NA NA NA NA NA NA NA NA NA 24-017-0010 38.5042 -76.8119 Southern MD 76 76 75 76 76 75 75 75 74 24-021-0037 39.4081 -77.3758 Frederick Municipal Airport 75 74 75 74 73 74 74 73 74 24-031-3001 39.1144 -77.1071 Rockville 77 76 76 77 75 75 77 75 75 24-033-0002 39.0200 -76.8278 Greenbelt 81 80 80 81 79 79 80 79 79 24-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA NA NA 24-033-8003 38.8121 -76.7444 PG Equestrian Center NA NA NA NA NA NA NA NA NA 51-013-0020 38.8575 -77.0592 Aurora Hills 88 87 88 88 87 88 88 86 88 51-059-0005 38.8939 -77.4653 Chantilly 77 76 79 77 76 79 77 76 79 51-059-0018 38.7425 -77.0775 Mount Vernon 86 85 85 86 85 85 85 84 84 51-059-0030 38.7728 -77.1056 Franconia 86 85 85 85 85 85 85 84 85 

Future Design Values Using Average of 3 Design Value Periods (2

MONITORS OTC OTB/OTW OTC BOTW OTC BOTW+VA CA

Future Design Values Using Base Year Design Value (2001-20

MONITORS OTC OTB/OTW OTC BOTW OTC BOTW+VA CA

Appendix G Attachment 11 - Page Number: 9
Future Design Value Calculations

51-059-1005 38.8375 -77.1632 Annandale NA NA NA NA NA NA NA NA NA 51-059-5001 38.9319 -77.1989 McLean 77 76 76 77 76 76 77 76 76 51-107-1005 39.0244 -77.4900 Ashburn 80 80 80 80 80 80 79 80 80 51-153-0009 38.8553 -77.6356 Long Park 76 75 75 75 75 75 75 75 75 51-510-0009 38.8108 -77.0447 Alexandria 82 81 81 81 80 81 81 80 79 

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid Cell 

Only 

Method

EPA 

Method

9 Cell 

Average 

Method

Grid C

Only Me

AIRS ID Latitude Longitude Site Name DVF DVF DVF DVF DVF DVF DVF DVF DVF 

11-001-0025 38.9753 -77.0228 Takoma 78 77 77 78 76 77 78 76 77 

11-001-0041 38.8972 -76.9528 River Terrace 75 74 78 75 74 78 75 74 77 11-001-0043 38.9189 -77.0125 McMillan 79 78 82 79 78 82 79 78 81 24-009-0010 38.5400 -76.5839 Calvert NA NA NA NA NA NA NA NA NA 24-017-0010 38.5042 -76.8119 Southern MD 75 74 73 74 74 73 74 73 72 24-021-0037 39.4081 -77.3758 Frederick Municipal Airport 73 72 73 72 71 72 72 71 72 24-031-3001 39.1144 -77.1071 Rockville 75 73 73 75 73 73 75 73 73 24-033-0002 39.0200 -76.8278 Greenbelt 80 79 79 80 79 79 80 79 79 24-033-0030 39.0553 -76.8783 HU-Beltsville NA NA NA NA NA NA NA NA NA 24-033-8003 38.8121 -76.7444 PG Equestrian Center 82 79 79 82 79 79 81 79 79 51-013-0020 38.8575 -77.0592 Aurora Hills 83 81 83 83 81 83 82 81 82 51-059-0005 38.8939 -77.4653 Chantilly 74 73 75 73 73 75 73 73 75 51-059-0018 38.7425 -77.0775 Mount Vernon 85 84 84 85 83 84 84 83 82 51-059-0030 38.7728 -77.1056 Franconia 81 80 80 81 80 80 80 80 80 51-059-1005 38.8375 -77.1632 Annandale 83 82 82 83 82 82 82 82 82 51-059-5001 38.9319 -77.1989 McLean 76 75 74 76 74 74 75 74 74 51-107-1005 39.0244 -77.4900 Ashburn 75 76 76 75 75 76 75 75 76 51-153-0009 38.8553 -77.6356 Long Park 73 72 72 72 72 72 72 72 72 51-510-0009 38.8108 -77.0447 Alexandria 77 76 76 77 76 76 76 75 75 

Future Design Values Using Straight Average of 5 Design Values (2

MONITORS OTC OTB/OTW OTC BOTW OTC BOTW+VA CA

Appendix G Attachment 11 - Page Number:

10
Attachment 13a_MANE-VU_Base Case 

2002 Emissions_TSD 20Nov200.pdf
TECHNICAL SUPPORT DOCUMENT FOR 2002 MANE-VU 

SIP MODELING INVENTORIES, VERSION 3 

Prepared by 

E.H. Pechan & Associates, Inc. 

3622 Lyckan Parkway, Suite 2005 

Durham, NC 27707 

November 20, 2006 

for the

Mid-Atlantic/Northeast Visibility Union (MANE-VU) 

Appendix G Att. 13a - Page Number

1
[This page intentionally left blank.]

Appendix G Att. 13a - Page Number

2
iii 

CONTENTS 

TABLES ........................................................................................................................................ vi 

FIGURES.....................................................................................................................................viii 

ACRONYMS AND ABBREVIATIONS...................................................................................... ix 

CHAPTER I – INTRODUCTION.................................................................................................. 1 

A. What is the purpose of this TSD? ....................................................................................... 1 

B. What are Versions 1, 2, and 3 of the 2002 MANE-VU Inventory?.................................... 2 

C. How is this TSD organized? ............................................................................................... 3 

CHAPTER II – POINT SOURCES................................................................................................ 4 

A. General Methods for all State and Local Agencies ............................................................ 4 

1. What Data Sources Were Used?................................................................................... 4 

2. What Quality Assurance Steps Were Performed? ........................................................ 5 

3. Version 3 Emissions Summary................................................................................... 18 

B. State-Specific Methods ..................................................................................................... 20 

1. Connecticut ................................................................................................................. 20 

2. Delaware ..................................................................................................................... 21 

3. District of Columbia ................................................................................................... 21 

4. Maine .......................................................................................................................... 22 

5. Maryland..................................................................................................................... 22 

6. Massachusetts ............................................................................................................. 23

7. New Hampshire .......................................................................................................... 23 

8. New Jersey.................................................................................................................. 24 

9. New York.................................................................................................................... 24 

10. Pennsylvania (State, Excluding Allegheny and Philadelphia Counties) .................... 25 

11. Pennsylvania (Allegheny County, FIPS code 42003)................................................. 27 

12. Pennsylvania (Philadelphia County, FIPS code 42101) ............................................. 28 

13. Rhode Island ............................................................................................................... 28 

14. Vermont ...................................................................................................................... 30 

C. What Issues Need to be Addressed in Future Versions? .................................................. 30 

CHAPTER III – AREA SOURCES ............................................................................................. 32 

A. General Methods for all States.......................................................................................... 32 

1. What Data Sources Were Used?................................................................................. 32 

2. What Quality Assurance Steps Were Performed? ...................................................... 34 

3. Version 3 Revisions .................................................................................................... 53 

4. Version 3 Emissions Summary................................................................................... 57 

B. State-Specific Methods ....................................................................................................... 58 

1. Connecticut ................................................................................................................. 58 

2. Delaware ..................................................................................................................... 59 

3. District of Columbia ................................................................................................... 60 

4. Maine .......................................................................................................................... 60 

5. Maryland..................................................................................................................... 61 

6. Massachusetts ............................................................................................................. 62

7. New Hampshire .......................................................................................................... 63 

8. New Jersey.................................................................................................................. 65 

9. New York.................................................................................................................... 65 

10. Pennsylvania ............................................................................................................... 70 

11. Rhode Island ............................................................................................................... 71 

Appendix G Att. 13a - Page Number

3
iv 

12. Vermont ...................................................................................................................... 72 

C. What Issues Need to be Addressed in Future Versions? .................................................. 73 

CHAPTER IV – NONROAD SOURCES .................................................................................... 75 

A. General Methods for all States.......................................................................................... 75 

1. What Data Sources Were Used?................................................................................. 75 

2. What Quality Assurance Steps Were Performed? ...................................................... 79 

3. Version 3 Emission Summaries.................................................................................. 82 

B. State-Specific Methods ..................................................................................................... 84 

1. Connecticut ................................................................................................................. 84 

2. Delaware ..................................................................................................................... 84 

3. District of Columbia ................................................................................................... 85 

4. Maine .......................................................................................................................... 86 

5. Maryland..................................................................................................................... 87 

6. Massachusetts ............................................................................................................. 88

7. New Hampshire .......................................................................................................... 89 

8. New Jersey.................................................................................................................. 89 

9. New York.................................................................................................................... 90 

10. Pennsylvania ............................................................................................................... 91 

11. Rhode Island ............................................................................................................... 92 

12. Vermont ...................................................................................................................... 93 

CHAPTER V – ONROAD SOURCES ........................................................................................ 94 

A. General Methods for All States......................................................................................... 94 

1. Data Sources ............................................................................................................... 94 

2. What Quality Assurance Steps were Performed? ....................................................... 95 

3. Version 3 Emission Summaries.................................................................................. 96 

B. State-Specific Methods ....................................................................................................... 97 

1. Connecticut ................................................................................................................. 97 

2. Delaware ..................................................................................................................... 99 

3. District of Columbia ................................................................................................. 100 

4. Maine ........................................................................................................................ 102 

5. Maryland................................................................................................................... 103 

6. Massachusetts ........................................................................................................... 105 

7. New Hampshire ........................................................................................................ 106 

8. New Jersey................................................................................................................ 108 

9. New York.................................................................................................................. 110 

10. Pennsylvania ............................................................................................................. 111 

11. Rhode Island ............................................................................................................. 113 

12. Vermont .................................................................................................................... 114 

CHAPTER VI – BIOGENIC SOURCES................................................................................... 117 

A. General Methods for all States........................................................................................ 117 

1. What Data Sources Were Used?............................................................................... 117 

2. Version 3 Emissions Summary................................................................................. 118 

B. State-Specific Methods ................................................................................................... 118

CHAPTER VII. TEMPORAL, SPECIATION, AND SPATIAL ALLOCATION PROFILES 

AND PREPARATION OF SMOKE (IDA) AND RPO DATA EXCHANGE 

PROTOCOL (NIF 3.0) FORMATS ............................................................................... 119 

A. Temporal Profiles............................................................................................................ 119 

1. Point and Area Sources............................................................................................. 119 

Appendix G Att. 13a - Page Number

4
v 

2. Nonroad Sources....................................................................................................... 120 

3. Onroad Sources......................................................................................................... 120 

B. Speciation Profiles .......................................................................................................... 121 

1. Point and Area Sources............................................................................................. 121 

2. Nonroad Sources....................................................................................................... 121 

3. Onroad Sources......................................................................................................... 121 

C. Spatial Allocation Profiles .............................................................................................. 122

D. Preparation of SMOKE (IDA) and RPO Data Exchange Protocol (NIF 3.0) Formats .. 122 

CHAPTER VIII. METHODS FOR AREAS OUTSIDE OF THE MANE-VU REGION ..... 155 

CHAPTER IX. REFERENCES ........................................................................................... 157 

APPENDIX A - POINT SOURCE INVENTORY, VERSION 3: DATA SOURCES BY SCC, 

EMISSION TYPE PERIOD, AND POLLUTANT....................................................................A-1 

APPENDIX B - AREA SOURCE INVENTORY, VERSION 3: DATA SOURCES BY SCC, 

EMISSION TYPE PERIOD, AND POLLUTANT....................................................................B-1 

APPENDIX C - NONROAD SOURCE INVENTORY, VERSION 3: FINAL COUNTY, 

MONTHLY NATIONAL MOBILE INVENTORY MODEL (NMIM) INPUTS TEMPORAL 

PROFILES FOR POINT AND AREA SOURCES....................................................................C-1 

Appendix G Att. 13a - Page Number

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vi 

TABLES 

Table II-1. Description of the Field Names and Descriptions for the SCC Control Device 

Ratios Table ...................................................................................................................... 14 

Table II-2. Version 3 2002 MANE-VU Point Source Emissions by State.................................. 19 

Table II-3. Connecticut 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 20 

Table II-4. Delaware 2002 Point, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 21 

Table II-5. District of Columbia 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Type .................................................................................................................. 21 

Table II-6. Maine 2002 Point, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 22 

Table II-7. Maryland 2002 Point, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 22 

Table II-8. Massachusetts 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 23 

Table II-9. New Hampshire 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 23 

Table II-10. New Jersey 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 24 

Table II-11. New York 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Type .................................................................................................................. 25 

Table II-12. Pennsylvania 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 26 

Table II-13. Pennsylvania - Allegheny County 2002 Point, Version 3: Unique List of Start Date, 

End Date, and Emission Types ......................................................................................... 27 

Table II-14. Pennsylvania - Philadelphia County 2002 Point, Version 3: Unique List of Start 

Date, End Date, and Emission Types................................................................................ 28 

Table II-15. Rhode Island 2002 Point, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 30 

Table II-16. Vermont 2002 Point, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 30 

Table III-1. Summary of MANE-VU-Sponsored Inventories Included in Version 1 of the Area 

Source Consolidated Emissions Inventory ....................................................................... 41 

Table III-2. Area Source Industrial, Commercial/Institutional, and Residential Fossil Fuel 

Combustion Uncontrolled Emission Factors for PM10-PRI/FIL, PM25-PRI/FIL, and 

PM-CON........................................................................................................................... 44 

Table III-3. SCCs for which PM25-PRI Emissions were Estimated by Applying a Ratio to the 

PM10-PRI Emissions in the State inventory .................................................................... 49 

Table III-4. Revisions to PM25-PRI and PM25-FIL Emissions for Paved and Unpaved Roads 

and Construction ............................................................................................................... 56 

Table III-5. Version 3 2002 MANE-VU Area Source Emissions by State ................................. 57 

Table III-6. Connecticut 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 58 

Table III-7. Delaware 2002 Area, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 59 

Appendix G Att. 13a - Page Number

6
vii 

Table III-8. District of Columbia 2002 Area, Version 3: Unique List of Start Date, End Date, 

and Emission Types .......................................................................................................... 60 

Table III-9. Maine 2002 Area, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 60 

Table III-10. Maryland 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 61 

Table III-11. Massachusetts 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 62 

Table III-12. New Hampshire 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 64 

Table III-13. New Jersey 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 65 

Table III-14. New York 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 66 

Table III-15. Summary of New York's Revisions to Version 3 of MANE-VU's Area Source 

Inventory........................................................................................................................... 68 

Table III-16. Pennsylvania 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 70 

Table III-17. Rhode Island 2002 Area, Version 3: Unique List of Start Date, End Date, and 

Emission Types................................................................................................................. 71 

Table III-18. Vermont 2002 Area, Version 3: Unique List of Start Date, End Date, and Emission 

Types................................................................................................................................. 72 

Table IV-1. List of Unique Aircraft, Commercial Marine, and Locomotive SCCs Reported by 

States in MANE-VU Inventory ........................................................................................ 76 

Table IV-2. Summary of Basis for 2002 MANE-VU Aircraft, Commercial Marine, and 

Locomotive Inventory....................................................................................................... 77 

Table IV-3. Data Source Code Descriptions................................................................................ 82 

Table IV-4. Annual 2002 Nonroad Sector Emissions by MANE-VU State................................ 82 

Table IV-5. Annual 2002 NONROAD2005 Model Emissions by MANE-VU State ................. 83 

Table IV-6. Annual 2002 Aircraft, Commercial Marine, and Locomotive Emissions by 

MANE-VU State............................................................................................................... 83 

Table IV-7. Delaware NONROAD External Data Files............................................................... 85 

Table IV-8. Maryland NONROAD External Data Files ............................................................. 87 

Table V-1. Annual 2002 Onroad Sector Emissions by MANE-VU State................................... 97 

Table V-2. Connecticut Onroad Data in SMOKE Input Files..................................................... 98 

Table V-3. Delaware Onroad Data in SMOKE Input Files....................................................... 100 

Table V-4. District of Columbia Onroad Data in SMOKE Input Files ..................................... 101 

Table V-5. Maine Onroad Data in SMOKE Input Files ............................................................ 102 

Table V-6. Maryland Onroad Data in SMOKE Input Files....................................................... 104 

Table V-7. Massachusetts Onroad Data in SMOKE Input Files ............................................... 105 

Table V-8. New Hampshire Onroad Data in SMOKE Input Files ............................................ 107 

Table V-9. New Jersey Onroad Data in SMOKE Input Files.................................................... 108 

Table V-10. New York Onroad Data in SMOKE Input Files.................................................... 110 

Table V-11. Pennsylvania Onroad Data in SMOKE Input Files............................................... 112 

Table V-12. Rhode Island Onroad Data in SMOKE Input Files ............................................... 113 

Table V-13. Vermont Onroad Data in SMOKE Input Files ...................................................... 115 

Table VI-1. Version 3 2002 MANE-VU Biogenic Source Emissions by State ........................ 118 

Appendix G Att. 13a - Page Number

7
viii 

Table VII-1. Profiles, Cross-references, and Documentation for Model Inputs for Version 3 of 

2002 MANE-VU Inventory ............................................................................................ 123 

Table VII-2. Point Source Temporal Cross-reference Additions .............................................. 126 

Table VII-3. Unknown SCCs in the MANE-VU Point Source Inventory.................................. 130 

Table VII-4. Area Source Temporal Cross-Reference Updates ................................................ 131 

Table VII-5. Area Source Temporal Cross-Reference Additions.............................................. 136 

Table VII-6. Area Source Temporal Cross-Reference and Profile Additions for the MANE-VU 

Inventory......................................................................................................................... 141 

Table VII-7. Point Source Speciation Profiles Added to Speciation Cross-reference File for CBIV with PM Mechanism.................................................................................................. 151 

Table VII-8. Point Source SCCs Lacking Speciation Profile Assignments for CB-IV with PM 

Mechanism...................................................................................................................... 152 

Table VII-9. Summary of Version 3 Mass Emissions and SMOKE Input Files ....................... 153 

Table VII-10. Unique List of Start Date, End Date, and Emission Type Combinations for Daily 

Emissions in the MANE-VU 2002 Point and Area Source Inventories, Version 3 ....... 154 

Table VIII-1. Description of Non-MANE-VU Region Inventory Data Used for MANE-VU 

BaseB Modeling.............................................................................................................. 156

Table C-1. MANE-VU County, Monthly NMIM/NONROAD Inputs...................................... C-2 

FIGURES 

Figure 1. MANE-VU 12-Kilometer CMAQ Modeling Domain ................................................... 2 

Figure VIII-1. MANE-VU 12-Kilometer CMAQ Modeling Domain........................................ 155 

Appendix G Att. 13a - Page Number

8
ix 

ACRONYMS AND ABBREVIATIONS 

ATP Anaerobic Thermal Processor 

BEIS Biogenic Emissions Inventory System 

CAA Clean Air Act 

CAIR Clean Air Interstate Rule 

CAMD Clean Air Markets Division 

CAP criteria air pollutant 

CE Control Equipment (NIF 3.0) table 

CEM Continuous Emissions Monitoring 

CENRAP Central Regional Air Planning Organization 

CERR Consolidated Emissions Reporting Rule 

CMU Carnegie Mellon University 

CNG compressed natural gas 

CO carbon monoxide 

CO2 carbon dioxide 

EF emission factor

EFIG Emission Factors and Inventory Group 

EGU electricity generating unit 

EI inventory 

EM Emission (NIF 3.0) table 

EP Emission Process (NIF 3.0) table 

EPA U.S. Environmental Protection Agency 

ERP Emission Release Point (NIF 3.0) table 

ETBE ethyl tertiary butyl ether 

ETOH ethanol 

ETS Emission Tracking System 

EU Emission Unit (NIF 3.0) table 

FIPS Federal Information Processing Standard 

FIRE Factor Information and REtrieval Factor 

GIS geographic information system 

GSE ground support equipment 

HAP hazardous air pollutant 

HC hydrocarbon 

HPMS Highway Performance Monitoring System 

ID identification 

IDA Inventory Data Analyzer format 

I/M inspection and maintenance 

km kilometer 

LAI leaf area indices 

LEV low emission vehicle 

LPG liquified petroleum gas 

MACT maximum achievable control technology 

MANE-VU Mid-Atlantic/Northeast Visibility Union 

MARAMA Mid-Atlantic Regional Air Management Association 

MTBE methyl tertiary butyl ether 

NAAQS National Ambient Air Quality Standard 

NAICS North American Industrial Classification System 

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x 

NEI National Emissions Inventory 

NH3 ammonia 

NIF NEI Input Format 

NMIM National Mobile Inventory Model 

NO nitrous oxide 

NOx oxides of nitrogen 

NYSDEC New York State Department of Environmental Conservation 

ORIS Office of Regulatory Information Systems 

OTC Ozone Transport Commission 

PAR photosynthetic active radiation 

PE Emission Period (NIF 3.0) table 

Pechan E.H. Pechan & Associates, Inc. 

PFC portable fuel container 

PM particulate matter 

PM-CON condensible PM 

PM10 particulate matter with an aerodynamic diameter less than or equal to a 

nominal 10 micrometers 

PM10-FIL filterable PM10 

PM10-PRI primary PM10

PM2.5 particulate matter with an aerodynamic diameter less than or equal to a 

 nominal 2.5 micrometers 

PM25-FIL filterable PM2.5 

PM25-PRI primary PM2.5

POTWs public owned treatment works 

ppm parts per million 

psi pounds per square inch 

QA quality assurance 

QAPP Quality Assurance Project Plan 

RPO Regional Planning Organization 

RVP Reid vapor pressure 

SCC Source Classification Code 

SPDPRO speed profile 

SPDREF speed cross reference 

SI Site (NIF 3.0) table 

SIC Standard Industrial Classification 

SIP State Implementation Plan 

S/L State and Local 

SMOKE Sparse Matrix Operator Kernel Emissions 

SO2 sulfur dioxide 

TAME tertiary amyl methyl ether 

TR Transmittal (NIF 3.0) table 

TSD technical support document 

U.S. United States 

VISTAS Visibility Improvement State and Tribal Association of the Southeast 

VMT vehicle miles traveled 

VOC volatile organic compound 

WRAP Western Regional Air Partnership 

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CHAPTER I – INTRODUCTION 

A. What is the purpose of this TSD? 

This technical support document (TSD) explains the data sources, methods, and results for 

preparing Version 3 of the 2002 base year criteria air pollutant (CAP) and ammonia (NH3) 

emissions inventories for point, area, onroad, nonroad, and biogenic sources for the MidAtlantic/Northeast Visibility Union (MANE-VU) Regional Planning Organization (RPO). The 

MANE-VU region includes Connecticut, Delaware, the District of Columbia, Maine, Maryland, 

Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and 

Vermont. Local air planning agencies include Philadelphia and Allegheny County, 

Pennsylvania. The region also includes the Penobscot Tribe of Maine Indian Nation (Tribal code 

018) and the St. Regis Band of Mohawk Indians of New York (Tribal code 007). However, 

these tribal authorities did not provide any data for the 2002 MANE-VU inventory. MANE-VU 

will use these inventories to support air quality modeling, State Implementation Plan (SIP) 

development, and implementation activities for the regional haze rule and fine particulate matter 

(PM) and ozone National Ambient Air Quality Standards (NAAQS). 

The inventories and supporting data prepared include the following: 

(1) Comprehensive, county-level, mass emissions and modeling inventories for of 2002 

emissions for CAPs and NH3 for the State and Local (S/L) agencies included in the 

MANE-VU region; 

(2) The temporal, speciation, and spatial allocation profiles for the MANE-VU region 

inventories; 

(3) Inventories for wildfires, prescribed burning, and agricultural field burning for the 

southeastern provinces of Canada; and 

(4) Inventories for other RPOs, Canada, and Mexico. 

The mass emissions inventory files were prepared in the National Emissions Inventory (NEI) 

Input Format Version 3.0 (NIF 3.0). The modeling inventory files were prepared in Sparse 

Matrix Operator Kernel Emissions/Inventory Data Analyzer (SMOKE/IDA) format. Ancillary 

files (holding spatial, temporal, and speciation profile data) were prepared in SMOKE/IDA 

compatible format. Figure 1 shows the Models-3 Community Multiscale Air Quality Modeling 

System (CMAQ) modeling domain for the MANE-VU region. 

The inventories include annual emissions for sulfur dioxide (SO2), oxides of nitrogen (NOx), 

volatile organic compounds (VOC), carbon monoxide (CO), NH3, and particles with an 

aerodynamic diameter less than or equal to a nominal 10 and 2.5 micrometers (i.e., primary PM10

and PM2.5). The inventories included summer day, winter day, and average day emissions. 

However, not all agencies included daily emissions in their inventories, and, for the agencies that 

did, the temporal basis for the daily emissions varied between agencies. The temporal profiles 

prepared for this project will be used to calculate daily emissions when not available in the 

inventory files. 

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Figure 1. MANE-VU 12-Kilometer CMAQ Modeling Domain 

B. What are Versions 1, 2, and 3 of the 2002 MANE-VU Inventory? 

Work on Version 1 of the 2002 MANE-VU inventory began in April 2004. The consolidated 

inventory for point, area, onroad, and nonroad sources was prepared by starting with the 

inventories that S/L agencies submitted to the United States (U.S.) Environmental Protection 

Agency (EPA) from May through July of 2004 as a requirement of the Consolidated Emissions 

Reporting Rule (CERR). The EPA’s format and content quality assurance (QA) programs (and 

other QA checks not included in EPA’s QA software) were run on each inventory to identify 

format and/or data content issues (EPA, 2004a). E.H. Pechan & Associates, Inc. (Pechan) 

worked with the MANE-VU S/L agencies and the staff of the Mid-Atlantic Regional Air 

Management Association (MARAMA) to resolve QA issues and augment the inventories to fill 

data gaps in accordance with the Quality Assurance Project Plan (QAPP) prepared for this 

project (MANE-VU, 2004a). MARAMA is the MANE-VU organization’s employees, whereas 

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MANE-VU is the member S/L agencies plus MARAMA employees. MARAMA is one of three 

RPOs (in addition to Ozone Transport Commission (OTC) and North East States for Coordinated 

Air Use Management) supporting the MANE-VU effort. 

A draft of the point and area source inventories and summary files were provided for stakeholder 

review during August 2004. Stakeholder comments were reviewed by the S/L agencies and 

revisions to the inventory files were made to the files to incorporate stakeholder comments as 

approved by each S/L agency. The inventories were finalized during December 2004 and the 

SMOKE input files were prepared and reviewed by the modelers during December 2004 and 

early January 2005. The final inventory and SMOKE input files were finalized during January 

2005. 

Work on Version 2 (covering the period from April through September 2005) involved 

incorporating revisions requested by some S/L agencies on the point, area, and onroad 

inventories. Work on Version 3 (covering the period from December 2005 through April 2006) 

included additional revisions to the point, area, and onroad inventories as requested by some 

states. Thus, the Version 3 inventory for point, area, and onroad sources were built upon 

Versions 1 and 2. This work also included development of the biogenics inventory. Version 3 

of the nonroad inventory was completely redone due to changes that EPA made to the 

NONROAD2005 model. 

C. How is this TSD organized? 

Chapters II through V of this TSD present the general and State-specific methods and data 

sources used to develop Version 3 of MANE-VU’s 2002 inventory for point, area, nonroad, and 

onroad sources. Chapter VI presents the methods, data sources, and model used to develop the 

biogenics inventory. Chapter VII documents the temporal allocation, speciation, and spatial 

allocation modeling input files used for Version 3 of MANE-VU’s 2002 inventory for all sectors. 

Chapter VIII describes the non-MANE-VU region inventory data used for MANE-VU BaseB 

Modeling. References for the TSD are provided in Chapter IX. Appendices A and B provide the 

QA Summary Report files prepared during development of the State-specific inventories for 

point and area sources, respectively. Appendices A and B also provide tables that identify for 

each S/L agency, the Version 3 data sources, emission type period, pollutant, and the number of 

counties by source classification code (SCC). For the nonroad inventory, Appendix C provides 

the final county, monthly National Mobile Inventory Model (NMIM) inputs provided or 

confirmed by the States for Reid vapor pressure (RVP), weight percent oxygen, and gasoline 

sulfur. 

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CHAPTER II – POINT SOURCES 

A. General Methods for all State and Local Agencies 

 

1. What Data Sources Were Used? 

Version 3 of the 2002 MANE-VU point source inventory is based primarily on Version 1 with 

some state-specific revisions incorporated into Versions 2 and 3. Version 1 was developed using 

the inventories that S/L agencies submitted to EPA from May through July of 2004 as a 

requirement of the CERR. All 12 State agencies submitted point source inventories to EPA. In 

addition, Allegheny and Philadelphia Counties in Pennsylvania each submitted their own point 

source inventories to EPA. The EPA performed some limited QA review of the S/L inventories 

to identify format, referential integrity, and duplicate record issues. The EPA revised the 

inventories to address these issues and made the files available to the S/L agencies on August 6, 

2004. These inventory files were used as the starting point for Version 1 of the MANE-VU 

inventory. These inventory files were obtained from EPA, consolidated into a single data set, 

subjected to extensive QA review, revised (as approved by the MANE-VU S/L agencies) to 

address QA issues and to fill data gaps identified while preparing Version 1. Subsequently, the 

following agencies provided revisions to their point source inventories: 

• Version 2 – Connecticut, Delaware, and Maryland 

• Version 3 – Massachusetts, New York, and Rhode Island 

The revisions that these states provided for Versions 2 and 3 are discussed in the “State-Specific 

Methods” section of this chapter. 

In order to track the origin of data, the temporal period of emissions, and to facilitate generation 

of emission summaries, the following NIF plus fields were added to the Transmittal (TR), Site 

(SI), Emission Unit (EU), Emission Release Point (ER), Emission Process (EP), Emission Period 

(PE), Emission (EM), and Control Equipment (CE) tables: 

• Data Source Codes: 

Code Description

S State agency-supplied data. 

L Local agency-supplied data to incorporate S/L comments for individual 

records. 

P NH3 emissions from MANE-VU inventory for cement kilns. 

AUG-A PM Augmentation: ad-hoc change. 

AUG-C PM Augmentation: standard augmentation method. 

AUG-O PM Augmentation: set PMxx-FIL = PMxx-PRI for SCCs starting with 

10 (external fuel combustion) and 20 (internal fuel combustion). Note: 

emission factors and particle-size data for estimating condensible 

emissions for fuel combustion SCCs starting with 30 were not available; 

therefore, condensible emissions were not estimated for these processes 

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if an agency provided filterable and not primary emissions for these 

processes. In other words, the primary emissions were assumed to equal 

the filterable emissions. 

AUG-Z PM Augmentation: automated fill-in of zero values where all PM for a 

particular process is zero. 

• Revision Date: This field indicates the month and year during which the last revision 

was made to a record. 

• State Federal Information Processing Standard (FIPS): This field indicates the state 

FIPS code of the submittal. 

• County FIPS: This field indicates the county FIPS code of the submittal. 

The following NIF plus fields were added to the EM table: 

• Emission Ton Value: This field indicates the values of the emissions in tons. This 

field was used to prepare summaries of emissions on a consistent EU basis. 

• Emission Type Period: This field indicates the period of the Emission Type – either 

ANNUAL or NONANNUAL. This field was used to prepare summaries of annual 

emissions. 

• CAP_HAP: This field identifies records for CAP versus records for hazardous air 

pollutants (HAPs). For the MANE-VU inventory, the flag is CAP for all records. 

• Year: This field indicates the year of the data; for this inventory, it is 2002. 

Note that the QAPP for Version 1 includes more data source codes than were used in Version 3 

of the point source inventory. The data source codes listed above are the codes used in 

Version 3. The exception is for Rhode Island, who requested that their Version 2 inventory be 

replaced with its inventory included in the final 2002 NEI prepared by EPA. Thus, for Rhode 

Island, it was agreed to maintain the data source codes used in the NEI in Version 3 of the 

MANE-VU inventory. The data source codes for Rhode Island’s point source inventory are 

explained under the state-specific section for Rhode Island. 

2. What Quality Assurance Steps Were Performed? 

A QAPP was prepared and approved by MANE-VU/MARAMA and the EPA Regional Office 

prior to initiating work on Version 1 of the inventory (MANE-VU, 2004a). This QAPP was 

followed during preparation of all three versions of the inventory. This section provides an 

overview of the QA checks completed on each version of the inventory. The QA process for 

each S/L inventory involved the following steps: 

• Conduct QA checks on each S/L inventory; 

• Prepare a QA Summary Report for submittal to the agency for review; 

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• Revise the inventory to resolve QA issues as directed by the agency; 

• Repeat the QA checks on the revised inventory to verify that the corrections were 

completed; 

• Perform augmentation to correct for missing data; and 

• Repeat the QA checks to verify that the augmentation was completed correctly. 

a. QA checks for S/L agency inventories 

The following discusses the QA diagnoses that were run on the consolidated point source 

inventory data set. For each S/L agency, a “QA Summary Report” was prepared for each QA 

check in an Excel Workbook file. The results of each QA check was summarized in a separate 

spreadsheet and submitted to the S/L agency for review and resolution. The agencies provided 

corrections to the data in the Excel files or via e-mail and the inventory was updated with the 

corrections. 

i. Continuous Emissions Monitoring (CEM) Analysis 

The goal of this analysis was to compare annual NOx and SO2 emissions that were measured with 

CEM systems and reported to EPA to the annual NOx and SO2 emissions reported in the S/L 

inventories. Facilities report hourly CEM data to EPA for units that are subject to CEM 

reporting requirements of the NOx SIP Call rule and Title IV of the Clean Air Act (CAA). Thus, 

hourly CEM emissions were summed to the annual level and compared to the annual emissions 

in the S/L inventories. If the S/L agencies agreed, the CEM hourly emissions would be used to 

support air quality modeling to accurately reflect the temporal distribution of emissions from 

CEM units during 2002. Since some of the states require facilities to certify the emissions they 

report for inclusion in the inventory, the agencies needed proof that the emissions in the CEM 

inventory compared well with the emissions in the S/L inventory. 

The 2002 CEM inventory containing hourly NOx and SO2 emissions and heat input data were 

downloaded from the EPA/Clean Air Markets Division’s (CAMD) web site 

(www.epa.gov/airmarkets) on July 8, 2004 (CAMD, 2004). The data were provided by quarter 

and state resulting in 48 separate files for the 12 states in the MANE-VU region. For each state, 

the hourly emissions were summed to the annual level by facility and EU. 

The first stage in the CEM analysis involved preparing a crosswalk file to match facilities and 

units in the CEM inventory to facilities and units in the S/L inventories. In the CEM inventory, 

the Office of Regulatory Information Systems (ORIS) identification (ID) code identifies unique 

facilities and the unit ID identifies unique boilers and internal combustion engines (i.e., turbines 

and reciprocating engines). In the S/L inventories, the state and county FIPS and state facility ID 

together identify unique facilities and the EU ID identifies unique boilers or internal combustion 

engines. However, in some of the S/L inventories, the emissions for multiple EUs were summed 

and reported under the same EU ID. Thus, an Excel Workbook was sent to the S/L agencies that 

contained an initial crosswalk with the ORIS ID and unit ID in the CEM inventory matched to 

the state and county FIPS, state facility ID, and EU ID in the S/L inventory. Agencies were 

asked to confirm/correct/supplement the information in the crosswalk. The initial crosswalk also 

contained annual emissions summed from the hourly CEM emissions and flags that indicated if 

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CEM units were subject to reporting requirements under the NOx SIP Call and/or Title IV of the 

CAA. It should be noted that the initial matching of the IDs in both inventories was based on 

previous crosswalks that had been developed for the 1999 NEI and in-house information 

compiled by Pechan. The matching at the facility level was nearly complete; however, S/L 

agency assistance was needed to match most of CEM units to EUs in the S/L inventories. 

The crosswalk was updated with corrections to facility and CEM unit-to-EU matches, and with 

new matches provided by the S/L agencies. The matching of each CEM unit to an EU was still 

incomplete. Consequently, the comparison of annual emissions was performed at the facility 

level. 

The second stage in the CEM analysis was to prepare an Excel Workbook file for each S/L 

agency that compared the annual emissions summed from the hourly CEM inventory to the 

annual emissions reported in the S/L inventory. The file included three spreadsheets that 

compared annual emissions at the facility level, listed the facilities in the CEM inventory that 

could not be matched to the facilities in the S/L inventory, and listed the facilities in the S/L 

inventory identified as an electricity generating unit (EGU) that could not be matched to a 

facility in the CEM inventory. The Excel files were sent to the S/L agencies for review. The S/L 

agencies then indicated if they did or did not want to use the hourly CEM inventory. 

The facility-level comparison of CEM to emission inventory NOx and SO2 emissions found that 

for some facilities, the annual emissions from the S/L inventory exceeded the CEM annual 

emissions because the facility in the S/L inventory contained more than just CEM units. This 

condition was determined to be acceptable. However, S/L agencies were asked to review data 

for facilities where the CEM emissions were higher than the emissions summed from the S/L 

inventory. For these cases, CEM emissions may be higher than those reported in a S/L inventory 

due to methods EPA uses for using artificially high default values to fill in hourly CEM data 

when not reported or when a CEM unit was not working properly. 

After reviewing the comparison of the CEM to S/L inventory emissions, New York and Vermont 

elected to use the 2002 CEM inventory containing hourly NOx and SO2 emissions for all 

facilities. Maryland; New Hampshire; and Allegheny County, Pennsylvania elected to use the 

2002 CEM data for some but not all of the facilities within their jurisdiction. The Excel 

Workbook files containing the comparison of CEM to S/L inventories provides a spreadsheet 

identifying the facilities for which these S/L agencies elected to use the CEM inventory. 

Subsequent to the completion of this analysis, it was determined that the structure of the 

EPA/CAMD file would not be compatible with the format of the SMOKE input file. The 

database structure did not affect the annual emissions summed from the hourly CEM emissions 

used in the comparison to S/L inventory data. For each of the S/L agencies that elected to use 

the 2002 CEM data, CAMD agreed to provide separate database files for each state with a 

structure compatible with the SMOKE input file format. Pechan then used the crosswalk to add 

to the CEM inventory files the state and county FIPS, state facility ID, and EU ID (if the 

crosswalk contains a CEM unit to EU match) to the hourly CEM database files provided by 

CAMD. The modified database was then used to create the SMOKE input files for these states. 

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Note that Delaware requested that the 2002 CEM inventory for its facilities not be used for 

regional haze modeling. However, if the consolidated point source inventory prepared under this 

project is used to support ozone episode modeling, Delaware may consider using the CEM 

hourly data for the episodes modeled. Therefore, the 2002 CEM inventory was also processed 

for Delaware’s facilities. 

ii. PM Emissions Consistency and Completeness Review 

The following consistency checks were performed at the EM table data key level (for annual 

emissions) to compare PM emissions: 

• If a process was associated with a PM emission record, but was missing one or more 

of the following (as appropriate for the SCC [i.e., condensible PM (PM-CON) is 

associated with fuel combustion only]): filterable PM10 (PM10-FIL), primary PM10

(PM10-PRI), filterable PM2.5 (PM25-FIL), primary PM2.5 (PM25-PRI), or PM-CON, 

the record was flagged for review. 

• The following equations were used to determine consistency: 

 PM10-FIL + PM-CON = PM10-PRI 

 PM25-FIL + PM-CON = PM25-PRI 

 PM-FIL + PM-CON = PM-PRI 

• The following comparisons were applied to determine consistency: 

 PM10-PRI >= PM10-FIL 

 PM25-PRI >= PM25-FIL 

 PM10-PRI >= PM-CON 

 PM25-PRI >= PM-CON 

 PM10-FIL >= PM25-FIL 

 PM10-PRI >= PM25-PRI 

 PM-PRI >= PM10-PRI 

 PM-PRI >= PM25-PRI 

 PM-FIL >= PM10-FIL 

 PM-FIL >= PM25-FIL 

If the data failed one of these checks it was diagnosed as an error, summarized in an Excel 

Workbook file, and provided to the S/L agency for corrections. If a S/L agency did not provide 

corrections to these errors, the errors were corrected or filled in according to the augmentation 

procedures. 

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iii. ERP Coordinate Review 

Location coordinates for point sources were evaluated using geographic information system 

(GIS) mapping to determine if the coordinates were within 0.5-kilometers of the boundary of the 

county in which the source was located. If not, the S/L agency was asked to review the 

coordinates and provide corrections to either the coordinates or the state and county FIPS codes. 

The 0.5-kilometer test resulted in a large number of ERPs for review by the agencies. Therefore, 

to assist S/L agencies in prioritizing their review of coordinates, ERP records with coordinates 

located more than 0.5, 1, 2, 3, 5, 7, and 10 or more kilometers from their county boundary, and 

coordinates that mapped outside of their state boundary were identified. Annual emissions 

summed to the ERP level were included in the QA Summary Report to identify records with zero 

emissions for all pollutants and to identify the highest emitting stacks. The QA Summary Report 

was provided to the S/L agency for review and corrections. 

iv. ERP Parameter Review 

The EPA’s QA guidance for diagnosing ERP issues for the point source NEI (EPA, 2004b) was 

applied to identify QA issues in the S/L point source inventories. The QA guidance involved 

diagnosing the correct assignment of the ERP type (i.e., stack or fugitive), parameters with zero 

values, parameters not within the range of values specified in the EPA’s QA procedures, and 

consistency checks (i.e., comparing calculated values against the values reported in the 

inventory). In many cases errors were caused by missing or zero values. In other cases, out-ofrange errors were caused by unit conversion issues (e.g., stack parameters were in ft, ft/sec, cu 

ft/sec, or degrees Fahrenheit). The QA issues were summarized in a separate QA Summary 

Report for each agency and each agency was asked to provide corrections. If an agency did not 

provide corrections for out-of-range or missing values, the data were corrected or filled in 

according to the ERP augmentation procedures. 

v. Control Device Type and Control Efficiency Data Review 

The CE codes in the “Primary Device Type Code” and “Secondary Device Type Code” fields 

were reviewed to identify invalid codes (i.e., codes that did not exist in the NIF 3.0 reference 

table) and missing codes (e.g., records with a null or uncontrolled code of 000 but with control 

efficiency data). 

QA review of control efficiency data involved diagnosis of two types of errors. First, records 

were reviewed to identify control efficiency values that were reported as a decimal rather than as 

a percent value. Records with control efficiencies with decimal values were flagged as a 

potential error (although not necessarily an error, since the real control efficiency may be less 

than 1%). 

The second check identified records where 100% control was reported in the CE table, but the 

emissions in the EM table were greater than zero and the rule effectiveness value in the EM table 

was null, zero, or 100% (implying 100% control of emissions). Because many agencies did not 

populate the rule effectiveness field or a default value of zero was assigned, records with null or 

zero rule effectiveness values were included where the CE was 100% and emissions were greater 

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than zero. The records that met these criteria were summarized in a QA Summary Report for 

review and correction, if necessary, by the S/L agency. 

vi. Start and End Date Checks 

QA review was conducted to identify start date and end date values in the PE and EM tables to 

confirm consistency with the inventory year in the TR table, and to confirm that the end date 

reported was greater than the start date reported. This check did not identify any QA issues in 

the three versions of the inventory. 

vii. Annual and Daily Emissions Comparison 

The following QA checks were conducted to identify potential errors associated with the 

incorrect reporting of daily and/or annual emissions: 

• Any “DAILY” type record that is greater than its associated “ANNUAL”. 

A review of the daily vs. annual comparison revealed that in many cases, the daily value was 

nonzero (but very small), but the annual value was zero. This was generally a result of rounding 

in a S/L agency’s original emissions database, where annual records were recorded in tons per 

year to a set number of decimal places, while the corresponding daily records were recorded in 

pounds per year to a set number of decimal places. The annual record rounds to zero in the 

original database, while the daily value remains non-zero. A tolerance check reveals the 

following (comparison in tons): 

• Difference Tolerance (daily - annual)> 0 

• Difference Tolerance (daily - annual)> .000001 

• Difference Tolerance (daily - annual)> .00001 

• Difference Tolerance (daily - annual)> .0001 

• Difference Tolerance (daily - annual)> .001 

• Difference Tolerance (daily - annual)> .01 

For Version 1, the affected S/L agencies were as follows: 

• Connecticut (09) 11 records 

• Maine (23) 4 records 

• Maryland (24) 72 records 

• New Jersey (34) 2935 records 

• Pennsylvania Allegheny County (42003) 17 records 

• Pennsylvania Philadelphia County (42101) 146 records 

• Rhode Island (44) 1 record 

Rhode Island, Philadelphia, and New Jersey responded that the dailies that were greater than the 

annuals could be deleted. Maryland determined that they should be kept since the difference 

values were small. The records for the remaining S/L agencies were kept. This QA issue only 

occurred during processing of Version 1. 

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b. Responses from S/L agencies 

Each S/L agency reviewed its “QA Summary Report” files and the S/L agency provided 

direction for correcting QA issues either in the QA Summary Report Excel files or via e-mail. 

The inventory was then revised to incorporate responses from each agency and the QA checks 

were run again to verify that the QA issues were addressed. If an agency responded to a QA 

issue by e-mail, the direction was recorded in the “QA Summary Report” file. The “QA 

Summary Report” file for each S/L agency was updated to document QA issues and resolution of 

issues associated with developing Versions 2 and 3 of the point source inventory. The “QA 

Summary Report” files for Version 3 are provided with this report in a separate zip file. The 

files in the zip file are organized in separate folders for each S/L agency. Each folder includes a 

separate Excel workbook file for the following QA checks if a QA issue existed: 

• PM Augmentation QA Summary; 

• Stack Parameter QA Summary; 

• Stack Coordinates QA Summary; 

• Stack Parameter and Coordinate Augmentation Summary; 

• CEM Comparisons and Revisions; and 

• Control Device/Efficiency Summary. 

c. Gap Filling and Augmentation 

The following discusses the augmentation procedures that were used to fill in missing data that 

were not supplied by the S/L agencies. The S/L agencies approved the procedures before they 

were applied. These procedures were applied after revising the inventory to address QA issues 

as directed by each S/L agency. 

i. MANE-VU-Sponsored Inventories 

MANE-VU prepared a 2002 NH3 emissions inventory for cement kilns for SCCs 30500606 and 

30500706 located in four MANE-VU states. Maryland chose to add one new facility 

24013/0012 (state and county FIPS code/facility ID). New York chose to add the following 

three sites 36001/4010300016, 36001/4012400001, and 36111/3514800084. Maine and 

Pennsylvania chose not to add emissions from this inventory. The data for Maryland and New 

York were added to Version 1. These data were not changed in Versions 2 and 3 of the point 

source inventory. 

ii. PM Augmentation 

The PM augmentations process gap-fills missing PM pollutant complements. For example, if a 

S/L agency provided only PM10-PRI pollutants the PM augmentation process filled in the 

PM25-PRI pollutants. The steps in the PM augmentation process were as follows: 

• Step 1: Initial QA and remediation of S/L provided PM pollutants; 

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• Step 2: Development of PM factor ratios based on factors from the Factor 

Information and REtrieval (FIRE) Data System, version 6.2, and the PM Calculator 

(EPA, 2003a; EPA, 2004c); 

• Step 3: Implementation of the ratios developed in step 2.; and 

• Step 4: Presentation of PM augmentation results to S/L agencies for review and 

comment. 

An Access database (named Reference Tables for PM Augmentation) accompanies this 

document. This database contains the SCC Control Device Ratio table, the Emission Factors 

table, and Emission Factors Crosstab table discussed in Step 2. The Emission Factors Crosstab 

table contains the ratios developed from the Emission Factors table. The Emission Factors table 

contains detailed information on the emission factors used to develop the ratios. The PM 

Calculator ratio table can be provided upon request – it contains all possible combinations for 

SCC and Control Device types that are available in the PM Calculator. Ratios from the PM 

calculator were developed using a standard input of 100 TONS of uncontrolled PM-FIL 

emissions. 

1. Initial QA and Remediation of PM Pollutants 

S/L agencies were initially presented with files that detailed potential inconsistencies and 

missing information in their PM pollutant inventory. Inconsistencies in PM pollutants include 

the following: 

• PM-PRI less than PM10-PRI, PM25-PRI, PM10-FIL, PM25-FIL, or PM-CON; 

• PM-FIL less than PM10-FIL, PM25-FIL; 

• PM10-PRI less than PM25-PRI, PM10-FIL, PM25-FIL or PM-CON; 

• PM10-FIL less than PM25-FIL; 

• PM25-PRI less than PM25-FIL or PM-CON; 

• The sum of PM10-FIL and PM-CON not equal to PM10-PRI; and 

• The sum of PM25-FIL and PM-CON not equal to PM25-PRI. 

Potential missing information was summarized in a table which detailed the variety of cases 

provided by each S/L agency. For example, an S/L agency might have provided PM10-FIL and 

PM25-FIL for some processes, but provided only PM10-FIL for other processes. 

S/L agencies were asked to review this information and provide corrections where possible. In 

general, corrections (or general directions) were provided in the case of the potential 

inconsistency issues. An example of a general direction provided by a S/L agency was to 

remove PM25-FIL where greater than PM10-FIL because the PM10-FIL was (in their particular 

case) known to be more reliable. In other cases, the agency-provided specific process-level 

pollutant corrections. If specific direction was not provided by the agency, zero PM pollutants 

were generally removed, or complements were set equal to the higher number. 

Appendix G Att. 13a - Page Number

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2. Development of PM Factor Ratio 

The primary deliverable of this step of the process was the development of a table keyed by 

SCC, primary control device, and secondary control device. This table is called the SCC Control 

Device Ratios table (see Table II-1). This table was filled according to the following steps: 

• Ratios (both condensible and noncondensible) were added from FIRE for SCCs 

starting with 10* (external fuel combustion) and 20* (internal fuel combustion) where 

there was a direct match between the provided SCC, and primary and secondary 

control devices. 

• Ratios (non-condensable) were added from the PM Calculator for SCCs starting with 

10* and 20* where there was not a direct match between the provided SCC, and 

primary and secondary control devices. Condensible ratios were added from the PM 

Calculator based on the uncontrolled SCC for these SCCs. In some cases, it was 

necessary to map the SCC and control devices to the PM calculator to find a match 

for the noncondensible ratios. In other cases, it was necessary to map the SCC to 

FIRE to find a match for condensible ratios. 

• For natural gas, process gas, and liquified petroleum gas (LPG) SCCs starting with 

10* and 20*, it was assumed (based on FIRE emission factors) that the PMPRI/PM10-PRI/PM25-PRI ratio was equal to 1. It was also assumed that the PMFIL/PM10- FIL /PM25- FIL was equal to 1. Condensible ratios were calculated from 

uncontrolled FIRE emission factors for these SCCs. In some cases it was necessary 

to map the SCC to FIRE to find a match for condensible ratios. 

• Ratios for SCCs not like 10* and 20* were obtained from the PM Calculator. It was 

assumed that the condensible component was zero. 

Appendix G Att. 13a - Page Number

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Table II-1. Description of the Field Names and Descriptions for the SCC Control 

Device Ratios Table 

Field Name Field Description 

PM Calculator A “Yes” in this field indicates that at least some of the information was retrieved from the PM 

Calculator 

FIRE A “Yes” in this field indicates that at least some of the information was retrieved from the Emission 

Factors table. A “Condensible Ratios” in this field indicates that the condensible ratios factors were 

retrieved from this table. 

Other A field to indicate other sources as necessary. 

SCC Source category code from the S/L agency-provided data. 

SCC_DESC Description of source category code from the S/L agency-provided data. 

maptoSCC This field equals SCC unless the SCC provided was not found in the appropriate source table. In 

that case, the SCC was mapped using the closest available appropriate mapping choice. 

maptoSCC_DESC Description of the maptoSCC. 

mapSCCNote Any notes related to the mapping of the SCC. A “Yes” in this field indicates that the SCC was 

mapped. 

PD Primary device type from the S/L agency provided data. 

PD_DESC Description of the primary device (PD). 

maptoPD This field equals PD unless the PD provided was not found in the appropriate source table. In that 

case, the PD was mapped using the closest available appropriate mapping choice. 

maptoPD_DESC Description of the maptoPD. 

mapPDNote Any notes related to the mapping of the PD. A “Yes” in this field indicates that the PD was mapped. 

SD Secondary device type from the S/L agency provided data. 

SD_DESC Description of the secondary device (SD). 

maptoSD This field equals SD unless the SD provided was not found in the appropriate source table. In that 

case, the SD was mapped using the closest available appropriate mapping choice. 

maptoSD_DESC Description of the maptoSD. 

mapSDNote Any notes related to the mapping of the SD. A “Yes” in this field indicates that the SD was mapped. 

PM-FIL/PM10-FIL This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-FIL/PM25-FIL This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-FIL/PM-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-PRI/PM10-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-PRI/PM25-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM10-FIL/PM25-FIL This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM10-PRI/PM25-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-CON/PM10-FIL Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

PM-CON/PM10-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

PM-CON/PM25-FIL Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

PM-CON/PM25-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

PM-CON/PM-FIL Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

PM-CON/PM-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios 

were not found in FIRE for 10* and 20* these ratios were set to zero. 

RPO Specific Note Indicates SCC and control device combinations are in the RPO inventory. 

Additional Notes Any notes regarding assumptions about ratios. 

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3. Implementation of the QA Ratios 

In order to calculate the additional PM pollutants based on the SCC Control Device ratio table 

developed in the above step, a crosstab table was created from the EM table based on the 

following fields: 

• State FIPS 

• County FIPS 

• Tribal Code 

• EU ID 

• Process ID 

• Start Date 

• End Date 

• Emission Type 

• SCC 

• Primary Device Type 

• Secondary Device Type 

The primary and secondary device type fields were added based on information from the CE 

table. If CE information was not available these fields were defaulted to 000 

(“UNCONTROLLED”). In the few cases where there was a conflict between the control devices 

reported for the same process for PM pollutants (e.g., a PM10-PRI is listed as controlled, but 

PM-PRI did not have control information), the control device type was selected based on the 

controlled pollutant. 

In addition to the fields listed above, the crosstab included the PM emission amounts for the 

particular process and a field that indicated whether those emissions existed in the inventory. 

These fields were as follows: 

• PM_PRI 

• PM_FIL 

• PM10_PRI 

• PM10_FIL 

• PM25_PRI 

• PM25_FIL 

• PM_CON 

• PM_PRI_EXISTS 

• PM_FIL_EXISTS 

• PM10_PRI_EXISTS 

• PM10_FIL_EXISTS 

• PM25_PRI_EXISTS 

• PM25_FIL_EXISTS 

• PM_CON_EXISTS 

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The emission values were in the PM_PRI, PM_FIL, PM10_PRI, PM10_FIL, PM25_PRI, 

PM25_FIL, PM_CON fields. The _EXISTS field indicated whether the pollutant was provided 

by the S/L agency. A zero indicated that the pollutant was not provided; a number greater than 

zero (usually one) indicates that it was provided by the S/L agency. 

Prior to the development of this crosstab, the EM table was filled in as much as possible using 

basic assumptions. For example, if the S/L agency provided zero emissions for some but not all 

forms of PM for a particular process, it was assumed that all forms of PM for that process were 

zero and they were filled in accordingly. Since that assumption was that for non 10* and 20* 

SCCs, the condensible value was zero – that would lead to PM10-FIL = PM10-PRI and PM25-

FIL = PM25-PRI and PM-FIL = PM-PRI. Given that assumption, values for these pollutants 

were also filled in. After this data insertion, a subset of the crosstab was created. This subset 

only contained processes that required additional augmentation. The SCC Control Device Type 

ratio table was based on only those SCC and control device types that required augmentation. 

The next step was to fill in the missing information in this crosstab using the information found 

in the SCC Control Device Ratio table. 

In calculating PM complement pollutants, priority was given to calculating –PRI and –CON 

pollutants. FIL pollutants were only calculated if necessary to calculate other pollutants or if it 

was a by-product of this calculation. 

In augmenting the PM pollutants, the non 10* and 20* SCCs were augmented first, with order 

given to augmenting based on PM10 where available, PM2.5 where available, and then PM. 

Augmenting the PM pollutants for the 10* and 20* SCCs is more complicated, but the basic 

approach was to augment based on PM10 (FIL or PRI) where available, PM2.5 (FIL or PRI) where 

available, and then PM (FIL or PRI) if PM10 or PM2.5 variations were not available. Where both 

PM10 (FIL or PRI) and PM2.5 (FIL or PRI) variations were both available, the calculation for 

PM-CON was generally driven from the PM10 number and the complements as necessary were 

back calculated. Where a PRI emission factor ratio was required and was not available, the FIL 

emission factor ratio was used. 

After completing the calculations, the data was QA checked to ensure that the calculations 

resulted in consistent values for the PM complement. On a few occasions, the mix of ratio value 

and the pollutants and values provided by the S/L agency resulted in negative values when FIL 

was back-calculated. In this case the negative FIL value was set to zero and the PRI value was 

readjusted. In a few cases the appropriate combination of ratios, SCC, and control efficiencies 

were not available to calculate the PM10-PRI and PM25-PRI values. In these cases, PM10-PRI 

and PM25-PRI were set equal. The resultant PM table information was appended to the EM 

table. 

Note: The augmentation procedures resulted in some high condensible ratios that were 

calculated for some SCC control device type combinations. In most cases, these high 

condensible ratios were the result of the back calculation of PM-CON from PMxx-PRI records. 

Appendix G Att. 13a - Page Number

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Since the state had already provided the PMxx-PRI records, these PM-CON values were not 

added. 

The data source code field was used to identify records that were added to the inventory to 

complete the set of PM10-PRI and PM25-PRI emissions. 

iii. ERP Coordinates 

If an S/L agency did not provide corrections for ERP coordinates that map more than 5 km 

outside of the county boundary, or provide coordinates for ERP records that did not have any 

coordinates in the S/L inventory, the following procedures were applied to replace the 

coordinates: 

• Coordinates for other ERPs at the same facility, if available, that map within the 

county; 

• Coordinates for the centroid of the zip code for a facility if a valid zip code was 

provided or could be obtained from the agency if it is not valid; or 

• County centroid coordinates. 

The zip code was taken from the SI NIF 3.0 table. The zip code was compared to a reference 

table of valid zip codes to verify that it was an active zip code and existed in the state and county 

reported in the inventory. If a valid zip code for a facility could not be identified, the centroid 

for the facility’s county was used as a last resort. In some cases, the S/L agency provided 

confirmation that the S/L coordinates were correct even if the analysis indicated that the 

coordinates were outside of the county. These coordinates were not changed. Additionally, all 

coordinates were converted to latitude/longitude measurements. 

iv. ERP Parameters 

If valid ERP parameters were not provided by the S/L agency, the ERP augmentation procedures 

that EPA developed for the 2002 point source NEI were applied to the MANE-VU inventory 

(EPA, 2004b). It has been determined that the augmentation procedures in this document 

regarding SCC-specific ERP types and temperatures may be difficult to resolve. When this 

situation occurs, preference was given to the S/L agency -supplied ERP type and SCC. For 

example, the procedures do not account for cases where an EU has two processes with one 

defined as a stack source and the other as a fugitive source. Therefore, the S/L-supplied ERP 

type was used when this situation occurred. If the ERP type was null, and information was not 

available from the S/L agency, the stack height information was used as a guide. If stack height 

information was available, the ERP was treated as a stack, if stack height information was not 

available, the ERP was treated as a fugitive. An additional modification to the augmentation 

procedure was also implemented. Since in many cases null values were filled in with zeros by 

S/L local databases when comparing out-of-range velocities and flows (after it was determined 

that the stack and diameter information was correct) – null and zero values were treated in the 

same manner to prevent inappropriate replacement of stack parameter values. Additionally, 

stack parameter values were rounded to 1 decimal place when comparing with range values (just 

Appendix G Att. 13a - Page Number

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for the purposes of comparison) to prevent replacement of S/L parameter values based on 

negligible decimal differences. 

v. Control Device Type and Control Efficiency Data 

Control efficiencies that were 100% and rule effectiveness of 100% with non-zero emissions 

were diagnosed as potential errors and sent to the S/L agencies. Where possible these data were 

updated with S/L data corrections. Decimal control efficiencies were also diagnosed and sent to 

the S/L agencies. A decimal control efficiency was usually a sign that a control efficiency had 

not been entered as a percentage as is required by NIF 3.0. Where possible these data was 

updated with S/L data corrections. 

c. QA Review of Final Inventory 

 

Final QA checks were run on the revised point source inventory data set to ensure that all 

corrections provided by the S/L agencies were incorporated into the S/L inventories and that 

there were no remaining QA issues that could be addressed during the duration of the project. 

The EPA QA program was run on the inventory and the QA output was reviewed to verify that 

all QA issues that could be addressed were resolved. The QA output file was provided in an 

Access database along with Version 3 of the inventory. 

3. Version 3 Emissions Summary 

Table II-2 presents a State-level summary of the annual point source emissions in Version 3 of 

the 2002 MANE-VU inventory. Note that PM10-PRI and PM25-PRI emissions are included in 

the inventory for all SCCs for which S/L agencies reported any form of PM, PM10, and/or PM2.5

emissions. If an agency did not report PM10-PRI and/or PM25-PRI but reported PM-PRI, PMFIL, PM-CON, PM10-FIL, and/or PM25-FIL, the PM augmentation procedures discussed in the 

TSD were applied to the form of PM emissions supplied by the agency to calculate emissions for 

the other forms of PM emissions. If an agency reported PM10-PRI and/or PM25-PRI emissions 

but not PM10-FIL, PM25-FIL, or PM-CON emissions, the agency's inventory was not 

augmented to calculate filterable or condensible emissions. Note that PM-CON is associated 

with only fuel combustion sources. 

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Table II-2. Version 3 2002 MANE-VU Point Source Emissions by State (Tons/Year) 

State CO NH3 NOx

PM10- 

FIL 

PM10- 

PRI 

PM25- 

FIL 

PM25- 

PRI PM-CON SO2 VOC 

Connecticut 4,053 12,923 738 1,617 0 1,283 389 15,988 4,907 

Delaware 9,766 196 16,345 2,466 4,217 1,919 3,666 1,750 73,744 4,755 

District of 

Columbia 248 4 780 91 161 54 132 68 963 69 

Maine 17,005 845 19,939 4,535 7,289 2,567 5,787 2,753 23,711 5,319 

Maryland 99,024 305 95,328 3,723 9,029 0 5,054 2,018 290,927 6,184 

Massachusetts 21,262 1,463 47,086 2,776 5,852 997 4,161 2,984 101,049 8,263 

New 

Hampshire 2,725 74 9,759 1,180 3,332 786 2,938 2,151 46,560 1,599 

New Jersey 12,300 51,593 2,928 6,072 2,543 4,779 3 61,217 14,401 

New York 66,427 1,861 118,978 1,808 10,392 1,965 7,080 210 294,729 11,456 

Pennsylvania 121,524 1,388 297,379 18,044 40,587 6,038 20,116 5,065 995,175 37,323 

Rhode Island 2,234 58 2,764 233 300 117 183 68 2,666 1,928 

Vermont 1,078 787 130 304 97 267 2 905 1,097 

MANE-VU 357,645 6,194 673,660 38,654 89,150 17,083 55,447 17,462 1,907,634 97,300 

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B. State-Specific Methods 

For each of the MANE-VU states and two local agencies in Pennsylvania, this section identifies 

the temporal basis of the emissions included in Version 3 and discusses revisions incorporated 

into Version 3. In addition, this section also discusses the origin of each S/L agency’s emissions 

included in Version 3. For each agency, a table is provided in Appendix A that lists the data 

source codes by SCC, emission type period, and pollutant. In addition, an electronic folder is 

provided for each S/L agency containing the QA Summary Reports prepared during Version 1 

and other files documenting revisions included in Versions 2 and 3. 

1. Connecticut 

Connecticut’s Version 3 point source inventory originates from Version 1 except for the 

following revisions that Connecticut provided for Version 2 and included in Version 3: 

• Changed coordinates for AES Thames, Inc. in New London County to -72.3184, 41.4499 

(FIPS code 09011, facility identifier 1544). 

• Changed values for Hartford Steam (FIPS code 09003, facility identifier 3471), EU P0250, 

process 02 for summer daily values as follows: Changed actual throughput from 1934 

E6FT3 to 1.934 E6FT3, CO summer daily emissions from 53.185 tons to 0.0532 tons, 

NOx summer daily emissions from 255.288 tons to 0.1021 tons, and VOC summer daily 

emissions from 1.2569 tons to 0.0027 tons. 

Table II-3 shows the emission type periods for which Connecticut provided emissions. 

Table II-3. Connecticut 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20011201 20020228 27 

NONANNUAL 20011201 20020228 29 

NONANNUAL 20020601 20020831 27 

NONANNUAL 20020601 20020831 29 

Table A-1 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Connecticut provided the data for CO, NOx, PM10-PRI, SO2, and VOC. Connecticut did not 

provide any data for NH3. Emissions for PM10-FIL, PM25-PRI, PM25-FIL, and PM-CON were 

calculated from the PM10-PRI emissions provided by Connecticut using the PM augmentation 

procedures. 

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2. Delaware 

Delaware’s Version 3 point source inventory originates from Version 1 except for some updates 

to ORIS Boiler IDs in the EU table that were incorporated into Version 2 and included in 

Version 3. Table II-4 shows the emission type periods for which Delaware provided emissions. 

Table II-4. Delaware 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20020601 20020831 29 

Table A-2 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Delaware provided the data for CO, NH3, NOx, SO2, and VOC. Delaware also provided much of 

the PM emissions data but in some cases the PM augmentation procedures were applied to the 

PM data provided by Delaware to calculate emissions for other forms of PM (e.g., to estimate 

PM10-PRI from PM10-FIL, PM25-PRI from PM25-FIL, PM10-PRI and PM10-FIL from PM25-

PRI and PM25-FIL). 

3. District of Columbia 

The District of Columbia’s Version 3 point source inventory originates from Version 1. Table 

II-5 shows the emission type period for which the District of Columbia provided emissions. 

Table II-5. District of Columbia 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Type 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

Table A-3 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

The District of Columbia provided the data for CO, NH3, NOx, SO2, and VOC. The District of 

Columbia provided at least one form of PM emissions and the PM augmentation procedures 

were applied to the emissions provided by the District of Columbia to calculate emissions for the 

other forms of PM. 

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4. Maine 

Maine’s Version 3 point source inventory originates from Version 1. Table II-6 shows the 

emission type periods for which Maine provided emissions. 

Table II-6. Maine 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20020601 20020831 29 

Table A-4 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Maine provided the emissions data for CO, NH3, NOx, SO2, and VOC. Maine provided PM10-

FIL and/or PM25-FIL emissions data and the PM augmentation procedures were applied to the 

emissions that Maine provided to calculate emissions for the other forms of PM. 

5. Maryland 

Maryland’s Version 3 point source inventory originates from Version 1 except for some updates 

to ORIS Boiler IDs in the EU table that were incorporated into Version 2 and included in 

Version 3. Table II-7 shows the emission type periods for which Maryland provided emissions. 

Table II-7. Maryland 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

ANNUAL 20040101 20041231 30 

NONANNUAL 20020101 20021231 29 

NONANNUAL 20020501 20020930 29 

NONANNUAL 20040101 20041231 29 

Table A-5 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Maryland provided the emissions data for CO, NH3, NOx, SO2, VOC, PM10-PRI, and PM-PRI. 

The PM augmentation procedures were applied to the PM10-PRI emissions that Maryland 

provided to calculate emissions for the other forms of PM. Maryland provided NH3 emissions 

for its point sources except for one new facility (state and county FIPS code 24013, facility ID 

0012, SCC 30500622, data source code P) for which it used NH3 emissions for four EUs 

(preheater kiln/dry process) prepared by MANE-VU. 

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6. Massachusetts 

Massachusetts’ Version 3 point source inventory originates from Version 1 except for the some 

stack parameter revisions that Massachusetts provided and were incorporated into Version 3. 

For Version 3, Massachusetts provided revisions to stack parameters in the ERP table for six 

EUs at three facilities. The revisions are listed in the Excel file named “MA Revisions to 

MANEVU V3 Point EI_040706.xls”. Table II-8 shows the emission type periods for which 

Massachusetts provided emissions. 

Table II-8. Massachusetts 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

ANNUAL 20030101 20031231 30 

Table A-6 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Massachusetts provided the emissions data for CO, NH3, NOx, SO2, and VOC. Massachusetts 

provided PM-FIL, PM10-FIL, and/or PM25-FIL emissions data and the PM augmentation 

procedures were applied to the emissions that Massachusetts provided to calculate emissions for 

the other forms of PM. 

7. New Hampshire 

New Hampshire’s Version 3 point source inventory originates from Version 1. 

Table II-9 shows the emission type periods for which New Hampshire provided emissions. 

Table II-9. New Hampshire 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20020601 20020831 29 

Table A-7 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

New Hampshire provided the emissions data for CO, NH3, NOx, SO2, and VOC. New 

Hampshire provided PM-FIL, PM10-FIL, and/or PM25-FIL emissions data and the PM 

augmentation procedures were applied to the emissions that New Hampshire provided to 

calculate emissions for the other forms of PM. 

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8. New Jersey 

New Jersey’s Version 3 point source inventory originates from Version 1. In addition to the QA 

checks discussed previously in this TSD, New Jersey’s original inventory submittal to EPA 

contained several issues with SCCs. For Version 1, per direction provided by New Jersey, SCCs 

that were less than 8 digits were changed to SCCs with 8 digits. Also, as approved by New 

Jersey, inactive SCC 39999901 was changed to active SCC 39999999. The invalid unit “GAL” 

was changed to the valid unit “E6GAL” in the EP table. 

Table II-10 shows the emission type periods for which New Jersey provided emissions. 

Table II-10. New Jersey 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20011201 20020228 29 

NONANNUAL 20020601 20020831 29 

Table A-8 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

New Jersey provided the emissions data for CO, NOx, SO2, and VOC. New Jersey provided PMPRI, PM10-PRI, and/or PM25-PRI emissions data and the PM augmentation procedures were 

applied to the emissions that New Jersey provided to calculate emissions for the other forms of 

PM. New Jersey did not provide any data for NH3. 

9. New York 

New York’s Version 3 point source inventory originates from Version 1 except for the following 

revisions that New York provided and were incorporated into Version 3. 

For Version 3, New York provided an Access database named “MANEVU_NY2002_ 

Point_Corrected_093005.mdb” with revisions to records in the EM table. New York also 

provided in this database 651 records that were not included in Version 2 of MANE-VU's point 

source inventory, and, therefore, these records were added to Version 3 of MANE-VU's point 

source inventory. The new records added emissions for pollutants (not in Version 2) for EUs 

and processes that existed in Version 2 of MANE-VU's point source inventory. 

The records in Version 2 that were revised and the records that were added to Version 3 are 

listed in the Excel file named “NY Revisions to MANE-VU V3 Point EI_040706.xls”. 

Table II-11 shows the emission type period for which New York provided emissions. 

Appendix G Att. 13a - Page Number

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Table II-11. New York 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Type 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

Table A-9 in Appendix A identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

New York provided the emissions data for CO, NH3, NOx, SO2, and VOC. New York provided 

PM-PRI, PM10-PRI, and/or PM25-PRI emissions data and the PM augmentation procedures 

were applied to the emissions that New York provided to calculate emissions for the other forms 

of PM. New York provided NH3 emissions for its point sources except for four cement kilns for 

which it used NH3 emissions from a MANE-VU-sponsored inventory. The following identifies 

the facilities for which the MAEN-VU-sponsored NH3 emissions inventory for cement kilns was 

used. 

FIPS Code Facility ID SCC Data Source

 36001 4010300016 30500606 (2 kilns/dry process) P 

 36001 4012400001 30500706 (1 kiln/wet process) P 

 36111 3514800084 30500606 (1 kiln/dry process) P 

10. Pennsylvania (State, Excluding Allegheny and Philadelphia Counties) 

The Version 3 point source inventory for the state of Pennsylvania originates from Version 1. 

The following summary excludes Allegheny and Philadelphia Counties who provided their own 

point source inventories for Versions 1, 2, and 3. 

Table II-12 shows the emission type periods for which Pennsylvania provided emissions. Table 

A-10 in Appendix A identifies the data sources by SCC, emission type period, and pollutant in 

the Version 3 point source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Pennsylvania provided the emissions data for CO, NH3, NOx, SO2, and VOC. Pennsylvania 

provided PM10-PRI and/or PM25-PRI emissions data and the PM augmentation procedures 

were applied to the emissions that Pennsylvania provided to calculate emissions for the other 

forms of PM. 

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Table II-12. Pennsylvania 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20020104 30 ANNUAL 20020131 20020812 30 

ANNUAL 20020101 20020111 30 ANNUAL 20020131 20021231 30 

ANNUAL 20020101 20020120 30 ANNUAL 20020201 20020228 30 

ANNUAL 20020101 20020123 30 ANNUAL 20020201 20020424 30 

ANNUAL 20020101 20020130 30 ANNUAL 20020201 20020831 30 

ANNUAL 20020101 20020131 30 ANNUAL 20020201 20020930 30 

ANNUAL 20020101 20020212 30 ANNUAL 20020201 20021030 30 

ANNUAL 20020101 20020215 30 ANNUAL 20020201 20021130 30 

ANNUAL 20020101 20020221 30 ANNUAL 20020201 20021231 30 

ANNUAL 20020101 20020228 30 ANNUAL 20020205 20021223 30 

ANNUAL 20020101 20020313 30 ANNUAL 20020213 20020913 30 

ANNUAL 20020101 20020329 30 ANNUAL 20020214 20021231 30 

ANNUAL 20020101 20020331 30 ANNUAL 20020216 20020331 30 

ANNUAL 20020101 20020412 30 ANNUAL 20020301 20020331 30 

ANNUAL 20020101 20020414 30 ANNUAL 20020301 20020430 30 

ANNUAL 20020101 20020422 30 ANNUAL 20020301 20020531 30 

ANNUAL 20020101 20020427 30 ANNUAL 20020301 20021031 30 

ANNUAL 20020101 20020430 30 ANNUAL 20020301 20021130 30 

ANNUAL 20020101 20020503 30 ANNUAL 20020301 20021231 30 

ANNUAL 20020101 20020514 30 ANNUAL 20020311 20021213 30 

ANNUAL 20020101 20020517 30 ANNUAL 20020311 20021231 30 

ANNUAL 20020101 20020521 30 ANNUAL 20020314 20021209 30 

ANNUAL 20020101 20020531 30 ANNUAL 20020318 20021223 30 

ANNUAL 20020101 20020603 30 ANNUAL 20020320 20020915 30 

ANNUAL 20020101 20020614 30 ANNUAL 20020320 20021231 30 

ANNUAL 20020101 20020626 30 ANNUAL 20020328 20021120 30 

ANNUAL 20020101 20020628 30 ANNUAL 20020330 20021122 30 

ANNUAL 20020101 20020630 30 ANNUAL 20020401 20020430 30 

ANNUAL 20020101 20020701 30 ANNUAL 20020401 20020531 30 

ANNUAL 20020101 20020731 30 ANNUAL 20020401 20020731 30 

ANNUAL 20020101 20020813 30 ANNUAL 20020401 20020930 30 

ANNUAL 20020101 20020831 30 ANNUAL 20020401 20021231 30 

ANNUAL 20020101 20020909 30 ANNUAL 20020409 20021205 30 

ANNUAL 20020101 20020930 30 ANNUAL 20020415 20021117 30 

ANNUAL 20020101 20021031 30 ANNUAL 20020415 20021231 30 

ANNUAL 20020101 20021101 30 ANNUAL 20020421 20021024 30 

ANNUAL 20020101 20021112 30 ANNUAL 20020424 20021016 30 

ANNUAL 20020101 20021130 30 ANNUAL 20020428 20021231 30 

ANNUAL 20020101 20021213 30 ANNUAL 20020429 20020922 30 

ANNUAL 20020101 20021216 30 ANNUAL 20020429 20021031 30 

ANNUAL 20020101 20021217 30 ANNUAL 20020501 20020630 30 

ANNUAL 20020101 20021220 30 ANNUAL 20020501 20020930 30 

ANNUAL 20020101 20021223 30 ANNUAL 20020501 20021013 30 

ANNUAL 20020101 20021230 30 ANNUAL 20020501 20021031 30 

ANNUAL 20020101 20021231 30 ANNUAL 20020501 20021231 30 

ANNUAL 20020102 20020703 30 ANNUAL 20020506 20021202 30 

ANNUAL 20020102 20021203 30 ANNUAL 20020511 20021231 30 

ANNUAL 20020102 20021215 30 ANNUAL 20020515 20021231 30 

ANNUAL 20020102 20021223 30 ANNUAL 20020519 20020727 30 

ANNUAL 20020102 20021227 30 ANNUAL 20020525 20021231 30 

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Table II-12. (Continued) 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020102 20021228 30 ANNUAL 20020601 20020602 30 

ANNUAL 20020102 20021229 30 ANNUAL 20020601 20020831 30 

ANNUAL 20020102 20021230 30 ANNUAL 20020601 20020930 30 

ANNUAL 20020102 20021231 30 ANNUAL 20020601 20021019 30 

ANNUAL 20020103 20021126 30 ANNUAL 20020603 20021231 30 

ANNUAL 20020103 20021228 30 ANNUAL 20020606 20021127 30 

ANNUAL 20020103 20021231 30 ANNUAL 20020629 20021231 30 

ANNUAL 20020104 20020930 30 ANNUAL 20020701 20020731 30 

ANNUAL 20020104 20021223 30 ANNUAL 20020701 20020930 30 

ANNUAL 20020104 20021231 30 ANNUAL 20020701 20021231 30 

ANNUAL 20020105 20021218 30 ANNUAL 20020708 20021231 30 

ANNUAL 20020105 20021231 30 ANNUAL 20020801 20020831 30 

ANNUAL 20020106 20021231 30 ANNUAL 20020801 20020930 30 

ANNUAL 20020107 20021231 30 ANNUAL 20020801 20021130 30 

ANNUAL 20020108 20021221 30 ANNUAL 20020801 20021231 30 

ANNUAL 20020108 20021228 30 ANNUAL 20020802 20021231 30 

ANNUAL 20020110 20021204 30 ANNUAL 20020901 20020930 30 

ANNUAL 20020111 20021231 30 ANNUAL 20020901 20021231 30 

ANNUAL 20020113 20021006 30 ANNUAL 20020920 20021231 30 

ANNUAL 20020114 20021203 30 ANNUAL 20021001 20021030 30 

ANNUAL 20020115 20020318 30 ANNUAL 20021001 20021231 30 

ANNUAL 20020115 20020323 30 ANNUAL 20021028 20021231 30 

ANNUAL 20020115 20020326 30 ANNUAL 20021101 20021231 30 

ANNUAL 20020115 20020830 30 ANNUAL 20021118 20021231 30 

ANNUAL 20020123 20020127 30 ANNUAL 20021201 20021231 30 

ANNUAL 20020124 20021127 30 

11. Pennsylvania (Allegheny County, FIPS code 42003) 

The Version 3 point source inventory for Allegheny County, Pennsylvania originates from 

Version 1. Table II-13 shows the emission type periods for which Allegheny County provided 

emissions. 

Table II-13. Pennsylvania - Allegheny County 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20011201 20020228 29 

NONANNUAL 20020601 20020831 29 

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Table A-11 in Appendix A identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 point source inventory. This table also shows the number of counties 

by SCC. Allegheny County provided the emissions data for CO, NH3, NOx, SO2, and VOC. 

Allegheny County provided PM-FIL, PM10-FIL, PM25-FIL, and/or PM-CON emissions data 

and the PM augmentation procedures were applied to the emissions that Allegheny County 

provided to calculate emissions for the other forms of PM. 

12. Pennsylvania (Philadelphia County, FIPS code 42101) 

The Version 3 point source inventory for Philadelphia County, Pennsylvania originates from 

Version 1. Table II-14 shows the emission type periods for which Philadelphia County provided 

emissions. 

Table II-14. Pennsylvania - Philadelphia County 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20011201 20020228 29 

NONANNUAL 20020601 20020831 29 

Table A-12 in Appendix A identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 point source inventory. This table also shows the number of counties 

by SCC. Philadelphia County provided the emissions data for CO, NH3, NOx, SO2, and VOC. 

Philadelphia County provided PM-FIL, PM10-FIL, and/or PM25-FIL emissions data and the PM 

augmentation procedures were applied to the emissions that Philadelphia County provided to 

calculate emissions for the other forms of PM. 

13. Rhode Island 

Rhode Island requested that their Version 2 inventory be replaced with the CAP and NH3

inventory in the final 2002 point source NEI that EPA released during March 2006. Therefore, 

all of Rhode Island’s point source data in Version 2 was replaced with the point source data 

provided in the final 2002 point source NEI. The following provides a summary of the QA 

issues identified and addressed in Version 1. The Excel file named “RI Revisions to MANE-VU 

V3 Point EI_040706.xls” provides documentation and correction of each of these issues for 

Version 3. 

The Site table in the NEI did not include the ORIS IDs for all of the EGUs identified in the EGU 

crosswalk table. Therefore, the crosswalk table was used to add the ORIS IDs to the Site table. 

Matching of boiler IDs to the EU table for one facility was maintained in the NEI, and, therefore, 

included in Version 3 of MANE-VU’s inventory. However, matching of boiler IDs for other 

facilities was not available in the crosswalk table. 

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The data source codes that EPA used in the Rhode Island’s point source inventory for the NEI 

were maintained in the MANE-VU inventory. The following defines the codes: 

 Code Description

A Augmented PM data. 

CAMD Record only in 2002 Emission Tracking System (ETS)/CEM for 

SO2, NOx, and heat input values; other emissions estimated. 

SCAMD1 Data were received from the state. The state’s NOx and SO2

 emission values were replaced with the ETS values. 

99_PMPRI Not defined – presumed to mean PM-PRI data originating from the 

 1999 NEI. 

SUM Primary PM emissions calculated as the sum of the filterable PM 

and PM-CON emissions 

DIFF PM-CON emissions calculated as the difference between the 

primary PM and filterable PM emissions 

QA of PM emissions was also performed in accordance with the QAPP for the 2002 base year 

inventory for EM table records that were revised or added for Rhode Island and New York. As a 

result, it was identified that the emission ton value was not correctly calculated from the 

emission unit numerator and emission numeric value fields in the NEI file, therefore, the 

emission ton value was corrected for the MANE-VU inventory. In addition, the final NEI for 

Rhode Island contained NH3 emissions for several facilities but no SCCs were provided for the 

NH3 emissions; therefore, the NH3 emissions were removed for the MANE-VU inventory as 

requested by Rhode Island. 

For Version 3 of MANE-VU's inventory, Facility ID EGU1036 and Facility Name 

MANCHESTER STREET in the final 2002 NEI was changed to Facility ID AIR936 and Facility 

Name USGEN NEW ENGLAND INC per Rhode Island’s request because this is the same 

facility (with ORIS ID 3236). Also, for State Facility ID AIR594, EU ID 2, ERP 2, and Process 

ID 2, the SCC was changed from 39000589 to 39000599. In addition, the ORIS IDs reported in 

the NEI were revised to make them consistent with the crosswalk prepared for MANE-VU that 

matches state facility IDs to ORIS IDs. 

One issue was identified with one record for Rhode Island where the sum of the PM10-FIL and 

PM-CON emissions was more than the PM10-PRI emissions, and the sum of the PM25-FIL and 

PM-CON emissions was more than the PM25-PRI emissions for facility ID AIR1248 in County 

FIPS 44007; SCC 10300601 (External Combustion Boilers : Commercial/Institutional : Natural 

Gas : > 100 Million Btu/hr). In addition, the PM10-FIL emissions reported was 1.6 tons more 

than the PM10-PRI emissions reported, and the PM25-FIL emissions reported was 1.6 tons more 

than the PM25-PRI emissions reported for this facility. The record has very low emissions and it 

was not clear how the PM consistency issues should be addressed; therefore, due to time and 

resource constraints, this issue was not corrected in Version 3. 

 

Table II-15 shows the emission type periods for which Rhode Island provided emissions. 

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Table II-15. Rhode Island 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020601 20020831 29 

NONANNUAL 20020601 20020831 29 

NONANNUAL 20020601 20020831 30 

Table A-13 in Appendix A identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 point source inventory. This table also shows the number of counties 

by SCC. Note that some SCC and emission type period combinations are listed more than once 

because the data source codes are different for more than one SCC and emission type period 

combination. Rhode Island provided the emissions data for CO, NOx, SO2, VOC, and PM-PRI. 

The EPA applied PM augmentation procedures to the PM-PRI emissions that Rhode Island 

provided to calculate emissions for the other forms of PM. The EPA added NH3 emissions for 

an EGU from EPA’s CAMD data; otherwise, NH3 emissions are not available for other point 

sources in Rhode Island. 

14. Vermont 

Vermont’s Version 3 point source inventory originates from Version 1. Table II-16 shows the 

emission type periods for which Vermont provided emissions. 

Table II-16. Vermont 2002 Point, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

NONANNUAL 20020101 20020331 27 

NONANNUAL 20020101 20021231 29 

NONANNUAL 20020601 20020831 27 

Table A-14 in Appendix A identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 point source inventory. This table also shows the number of counties 

by SCC. Note that some SCC and emission type period combinations are listed more than once 

because the data source codes are different for more than one SCC and emission type period 

combination. Vermont provided the emissions data for CO, NOx, SO2, and VOC. Vermont 

provided PM-FIL, PM10-FIL, and/or PM25-FIL emissions data and the PM augmentation 

procedures were applied to the emissions that Vermont provided to calculate emissions for the 

other forms of PM. Vermont’s inventory does not include NH3 emissions. 

C. What Issues Need to be Addressed in Future Versions? 

This section provides a summary of potential revisions to incorporate into future versions of the 

MANE-VU point source inventory. 

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All States – A coordinated effort between the S/L agencies should be developed to apply 

consistent methods to avoid having to apply procedures to augment inventory data to correct for 

the QA issues and fill in missing data as discussed previously in this chapter. For example, this 

will ensure that consistent methods are applied across S/L agencies to ensure accurate reporting 

of stack parameters, PM emissions, and minimize other QA issues that were identified during the 

development of Versions 1, 2, and 3 of the inventory. 

For PM emissions, the S/L agencies should develop and apply a consistent method for including 

condensible emissions for fuel combustion sources that can be applied when the agencies 

develop their inventories. This may include compiling the emission factors for all forms of PM 

into one database, organized by SCC and control type (for filterable emissions), and sharing the 

database among the MANE-VU S/L agencies. Use of a consistent set of emission factors will 

help to avoid the PM consistency issues identified in Versions 1, 2, and 3 of the MANE-VU 

inventory as well as ensure that condensible emissions are included in the primary emissions 

reported in the inventory. 

The EGU crosswalk should be maintained to ensure that State Facility IDs and EU IDs are 

correctly matched with ORIS IDs and boiler IDs. 

State-specific suggestions are as follows: 

Connecticut, New Jersey, Rhode Island, and Vermont – Include NH3 emissions. 

New Jersey – Develop a method to translate the SCCs that are less than 8 digits reported by 

facilities to 8 digit SCCs for reporting in the inventory. 

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CHAPTER III – AREA SOURCES 

A. General Methods for all States 

1. What Data Sources Were Used? 

Version 1 of the 2002 MANE-VU area source inventory was built on the inventories that the 

State agencies submitted to EPA from May through July of 2004 as a requirement of the CERR. 

Except for Rhode Island, all of the MANE-VU States also submitted area source inventories to 

EPA. Rhode Island elected to use the preliminary 2002 NEI for its area source inventory. The 

EPA performed some limited QA review of the State inventories to identify format, referential 

integrity, and duplicate record issues. The EPA revised the inventories to address these issues 

and made the files available to the State agencies on August 6, 2004. These inventory files were 

used as the starting point for the MANE-VU inventory. These inventory files were obtained 

from EPA, consolidated into a single data set, subjected to extensive QA review, and revised (as 

approved by the MANE-VU State agencies) to address QA issues and fill data gaps identified 

while preparing Version 1. Subsequently, the following agencies provided revisions to their area 

source inventories: 

• Version 2 – District of Columbia, Massachusetts, Maryland, New Hampshire, New Jersey, 

New York, and Vermont. 

• Version 3 – Massachusetts, Maine, New Jersey, New York, and Rhode Island. 

The Version 2 and 3 revisions for these States are discussed in section III.B (State-Specific 

Methods) of this chapter. In addition, as requested by MANE-VU, revisions were made to 

Version 3 to (1) add emissions for portable fuel containers (PFCs), industrial adhesives, and 

outdoor residential wood combustion for some States; (2) decrease the PM2.5 emissions for paved 

and unpaved roads and construction for all States; and (3) remove invalid CE records that 

originated from the preliminary 2002 NEI for some States. These revisions are explained in 

section III.A.3 of this chapter. 

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To track the origin of data, the temporal period of emissions, and to facilitate generation of 

emission summaries, the following NIF plus fields were added to the EP, PE, EM, and CE tables: 

• Data Source Codes: 

For the area source inventory data, the data source codes are based on the following 9-character 

format: 

[Data Origin]-[Year]-[Grown/Not Grown/Carried Forward]-[PM Augmentation Code] 

Code Field Length

Data Origin 1 

Year 3 (including leading hyphen) 

Grown/Not Grown/Carried Forward 2 (including leading hyphen) 

PM Augmentation 3 (including leading hyphen) 

Data Origin Codes

Code Description 

S State agency-supplied data 

L Local agency-supplied data 

R Tribal agency-supplied data 

P Regional Planning Organization 

E EPA/Emission Factors and Inventory Group (EFIG)-generated data 

Year Codes

Year for which data are supplied (e.g., Year = -02 for 2002), or from which prior year 

data are taken (e.g., Year = -99 for 1999; -01=2001). 

Grown/Carried Forward/Not Grown Codes

Code Description 

-G Used when emissions in a pre-2002 inventory are grown to represent 2002 

emissions. 

-F Used when emissions in a pre-2002 inventory are carried forward and included 

in the 2002 inventory without adjustment for growth. 

-X Used when the emissions are not grown or are not carried forward. For 

example, X is used when emissions are calculated for the 2002 inventory using 

2002 activity, or when data are replaced with 2002 State data. 

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PM Augmentation Codes

-PA PM Augmented Emissions: Record for PM10/PM2.5 emissions that were 

updated or added using ad-hoc updates. 

-PC PM Augmented Emissions: Record added for PM10/PM2.5 emissions estimated 

using the PM Calculator. 

-PR PM Augmented Emissions: Record added for PM10/PM2.5 emissions estimated 

using ratios of PM10-to-PM or PM2.5-to-PM10. If PM10 and PM2.5 emissions 

are equal and one of the pollutants is assigned this code, the ratio is assumed to 

be 1. 

• Revision Date: This field indicates the month and year during which the last revision was 

made to a record. 

 

• State FIPS: This field indicates the State FIPS code of the submittal. 

• County FIPS: This field indicates the county FIPS code of the inventory. 

The following NIF plus fields were added to the EM table: 

• Emission Ton Value: This field indicates the values of the emissions in tons. This field 

was used to prepare summaries of emissions on a consistent EU basis. 

• Emission Type Period: This field indicates the period of the Emission Type – either 

ANNUAL, SEASONAL, MONTHLY, or DAILY. Emission table records designated as 

ANNUAL were used to prepare summaries of annual emissions. 

• CAP_HAP: This field identifies records for CAP versus records for HAPs. For the 

MANE-VU inventory, the flag is CAP for all records. 

• Year: This field indicates the year of the data; for this inventory, it is 2002. 

2. What Quality Assurance Steps Were Performed? 

A QAPP was prepared and approved by MANE-VU/MARAMA and the EPA Regional Office 

prior to initiating work on Version 1 of the inventory (MANE-VU, 2004a). This QAPP was 

followed during preparation of all three versions of the inventory. This section provides an 

overview of the QA checks completed on each version of the inventory. The QA process for 

each State inventory involved the following steps that are also included in the following 

discussion: 

• Conduct QA checks on each State inventory; 

• Prepare a QA Summary Report for submittal to the agency for review; 

• Revise the inventory to resolve QA issues as directed by the agency; 

• Repeat the QA checks on the revised inventory to verify that the corrections were 

completed; 

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• Perform augmentation to correct for missing data; and 

• Repeat the QA checks to verify that the augmentation was completed correctly. 

a. QA checks for State emission inventories 

The following QA checks were run on each State inventory: 

i. County and SCC coverage 

ii. Pollutant coverage 

iii. EPA QA summaries sent to State agencies 

iv. Range errors 

v. PM emissions consistency and completeness review 

vi. Control device type and control efficiency data review 

vii. Start and end date checks 

viii. Annual and daily emissions comparison 

County and SCC Coverage

The county coverage in the State inventories appeared to be reasonable for all States. The SCC 

coverage was difficult to evaluate simply by showing a count of the number of SCCs by State. 

Each State inventory was compared to the preliminary 2002 NEI, and area source categories in 

the NEI but not in a State inventory were sent to each agency for review. Each State agency then 

selected the NEI categories that were then added to the MANE-VU inventory. 

Pollutant Coverage

The pollutant coverage in the State inventories was complete for all pollutants except for PM10

and PM2.5. Diagnosis and resolution of PM10 and PM2.5 pollutant emissions is discussed later in 

section III.A.2.c. The exception was Connecticut who included only VOC, NOx, and CO 

emissions in its inventory submittal to EPA. 

EPA QA Summaries Sent to State Agencies

Under a separate project with EPA, Pechan performed QA review of the State area source 

inventories. This QA review involved running EPA’s QA program on each data set to identify 

and resolve QA issues. Using the results of this QA work, Pechan prepared two sets of QA 

summaries that EPA sent to the State agencies. Pechan contacted each State agency with QA 

issues identified in the EPA reports to obtain direction for correcting the QA issues identified in 

the reports. The following explains these two summaries: 

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High-level Summary of State Inventories Submitted to EPA: 

The first summary was an Excel workbook file with four spreadsheets that provided the 

following information: 

• 2002 Nonpoint File Names: This spreadsheet documented names and formats of the 

files that EPA received from the State agencies and the dates on which they were 

transferred to Pechan. 

• 2002 Nonpoint Summary: This spreadsheet documented the name of the state 

agency, type of inventory (i.e., CAP, HAP, or both), a comparison of the number of 

the counties in the inventory to the total number of counties in the State to identify 

the geographic coverage of the inventory, a unique list of CAP codes, and the total 

number of area source SCCs. This spreadsheet also indicated if any nonroad or 

onroad emissions data were moved from the agency’s area source inventory to its 

nonroad or onroad inventory. 

• 2002 Nonpoint Emission Sums: This spreadsheet summarized emissions by start 

date, end date, and emission type and assigned the appropriate code to the emission 

type period NIF plus field. 

• 2002 Nonpoint Error Summary: This spreadsheet provided a copy of the 

“SummaryStats” table from the EPA QA program (EPA, 2004a). This table 

provided the count of records for each NIF 3.0 table and identified the number of 

records with errors by type of error. 

Detailed Summary of QA Issues: 

This summary (sent to State agencies on August 11) was prepared in a text file that listed by 

State and NIF table the number of records with errors, and provided corrections for the errors. 

To support documentation of corrections to some of the errors in the text file, Pechan prepared 

an Excel workbook file that summarized the following errors and corrections by State: invalid 

pollutants codes; invalid units; invalid maximum achievable control technology (MACT) codes; 

and invalid and inactive SCCs. A spreadsheet was also included to show the mapping of 

standard industrial classification (SIC) codes to North American Industrial Classification System 

(NAICS) codes. This crosswalk was used to correct invalid NAICS codes if a valid SIC code 

was available in the State inventories and vice versa. 

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Additional QA for the MANE-VU Area Source Inventory

The following explains additional QA and data tracking that was performed for the MANE-VU 

inventory. The following data elements were reviewed to identify QA issues: 

• Range Errors; 

• PM Emissions Consistency and Completeness; 

• Control Device Codes and Control Efficiency Values; 

• Start and End Dates; 

• Annual and Daily Emissions Comparison; and 

• Comparison of State Inventories to the 2002 Preliminary NEI. 

For each State inventory for which QA issues were identified, a separate QA Summary Report 

was prepared in an Excel workbook file, and sent to each State agency for review. The State 

agencies provided directions in the Excel Workbook file, via e-mail, or by submitting revised 

records in NIF 3.0 in an Access database to correct the inventories. The QA reports are 

discussed under section III.A.2.b. 

Range Errors

The EPA’s QA program contains routines that compare annual emission values, numeric fields 

in the PE and EP tables, and other temporal numeric fields against a range of values. The QA 

program flags records that are less than or greater than the range of values for review. Pechan 

summarized the range errors for the State agencies to review and provide corrections. According 

to EPA, the ranges to which values in inventories are compared represent “normal” ranges that 

are based on percentiles from previous inventories. The range values are conservative in that 

EPA wants to identify suspicious values even though the values may be real (Thompson, 2002).

PM Emissions Consistency and Completeness Review

The following consistency checks were performed at the EM table data key level (for annual 

emissions) to compare PM emissions: 

• If an SCC was associated with a PM emission record, but was missing one or more of 

the following (as appropriate for the SCC [i.e., PM-CON is associated with fuel 

combustion only]): PM10-FIL, PM10-PRI, PM25-FIL, PM25-PRI, or PM-CON, the 

record was flagged for review. 

• The following equations were used to determine consistency: 

 PM10-FIL + PM-CON = PM10-PRI 

 PM25-FIL + PM-CON = PM25-PRI 

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• The following comparisons were made to determine consistency: 

 PM10-PRI >= PM10-FIL 

 PM25-PRI >= PM25-FIL 

 PM10-PRI >= PM-CON 

 PM25-PRI >= PM-CON 

 PM10-FIL >= PM25-FIL 

 PM10-PRI >= PM25-PRI 

If the data failed one of these checks it was diagnosed as an error. If a State agency did not 

provide corrections to these errors, the errors were corrected/filled in according to an 

augmentation procedure explained in section III.A.2.c. 

For information purposes, all PM-PRI and PM-FIL records were flagged to indicate that these 

pollutants were included instead of, or in addition to, the standard PM10-PRI/FIL, PM25-

PRI/FIL, and PM-CON pollutants. 

Control Device Type and Control Efficiency Data Review

The CE codes in the “Primary Device Type Code” and “Secondary Device Type Code” fields 

were reviewed to identify invalid codes (i.e., codes that did not exist in the NIF 3.0 reference 

table) and missing codes (e.g., records with a null or uncontrolled code of 000 but with control 

efficiency data). 

QA review of control efficiency data involved diagnosis of two types of errors. First, records 

were reviewed to identify control efficiency values that were reported as a decimal rather than as 

a percent value. Records with control efficiencies with decimal values were flagged as a 

potential error (although not necessarily an error, since the real control efficiency may be less 

than 1%). Records with a 1% control efficiency value were also identified for review by the 

State agency to determine if the value was reported as a decimal in its internal data system but 

rounded to 1% when the data were converted to NIF 3.0. 

The second check identified records where 100% control was reported in the CE table, but the 

emissions in the EM table were greater than zero and the rule effectiveness value in the EM table 

was null, zero, or 100% (implying 100% control of emissions). Because many agencies did not 

populate the rule effectiveness field or a default value of zero was assigned, records with null or 

zero rule effectiveness values were included where the CE was 100% and emissions were greater 

than zero. For records that met these criteria, Pechan consulted with the State agency to 

determine if corrections were needed to any of the fields. 

Start and End Date Checks

QA review was conducted to identify start and end date values in the PE and EM tables to 

confirm consistency with the inventory year in the TR table, and to confirm that the end date 

reported was greater than the start date reported. 

Appendix G Att. 13a - Page Number

48
39

Annual and Daily Emissions Comparison

The State inventories were reviewed to determine if any of the following conditions existed: 

• Multiple records coded at the SCC level as emission type 30, but with different start 

and end dates. While not a true duplicate, this may indicate an error or inclusion of 

both annual and seasonal values. 

• Multiple records coded at the SCC level as a daily emission type (27, 29, etc.) but 

with different start and end dates. While not a true duplicate, this may indicate an 

error or just inclusion of additional types of daily emissions. 

• Multiple records coded at the SCC level with the same start and end date, but 

different emission types. While not a true duplicate, this may indicate an error or 

just inclusion of additional types of daily emissions. 

• Any “DAILY” type record that was missing its associated “ANNUAL” record was 

flagged for review. 

• Any “DAILY” type record that was greater than its associated “ANNUAL” record 

was flagged for review. 

b. Responses from State Agencies 

QA Summary Reports were sent to the State agencies to review the QA issues identified. The 

State agencies were asked to return these reports to MANE-VU with their corrections 

documented in the reports. These reports were then used to document revisions to the State 

inventories. The QA Summary Reports containing the revisions provided by the State agencies 

are provided in Excel Workbook files with this TSD. 

c. Gap Filling and Augmentation 

This section explains the methods used to add data for categories and/or pollutants missing in a 

State’s inventory after revising the inventory to address QA issues. 

i. MANE-VU sponsored inventories 

ii. PM augmentation 

iii. Fossil fuel combustion sources 

iv. Other sources of PM emissions 

v. Merging of NEI data into S/L inventories 

vi. Revisions to the preliminary 2002 NEI incorporated into Version 1 of 

the MANE-VU inventory 

vii. Additional work on Area source methods 

- Fugitive Dust Emissions from Paved and Unpaved Roads 

- Wildfires and Prescribed Burning 

Appendix G Att. 13a - Page Number

49
40

The following discusses the augmentation procedures that were applied to the State inventories 

to improve the inventories or to fill in missing data not supplied by the State agencies. 

MANE-VU -Sponsored Inventories

MANE-VU sponsored inventory development for residential wood combustion, open burning, 

public owned treatment works (POTWs), compositing, and industrial refrigeration. At the 

beginning of the project for developing Version 1, each State agency was requested to indicate if 

it (1) included the MANE-VU-sponsored inventory for one or more of these categories in the 

inventory it submitted to EPA; (2) included its own estimates for a category in the inventory it 

submitted to EPA; or (3) if it did not include a category in its inventory, if the MANE-VUsponsored inventory or the 2002 preliminary NEI should be used as the source of data for the 

category. The results of this Version 1 inventory development request are summarized in Table 

III-1. 

Improvements to fugitive dust emissions for the paved and unpaved road categories were 

completed after the draft version of the consolidated area source inventory was prepared. 

Agencies provided guidance on if they wanted the MANE-VU-sponsored inventory for these two 

categories to replace the paved and unpaved road inventories they had included in their 

inventories. For paved roads, all States requested that the MANE-VU-sponsored inventory be 

used; however, New Jersey and Maryland requested that the winter-time sand/silt adjustment not 

be included in their inventories. For unpaved roads, nine of the 12 States requested that the 

MANE-VU-sponsored inventory be used. New Jersey requested that its unpaved road inventory 

be used instead of the MANE-VU-sponsored inventory. In addition, the District of Columbia 

and Delaware do not have any unpaved road activity and excluded this category from their 

inventories. 

PM Augmentation

Procedures were developed to estimate missing pollutant data from data provided by the State 

agencies in order to develop a complete set of PM10-PRI and PM25-PRI emissions to support air 

quality modeling. The following discusses the procedures for fossil fuel combustion sources first 

followed by the procedures for all other area sources of PM emissions. 

Fossil Fuel Combustion Sources

Fossil fuel combustion sources include industrial, commercial/institutional, and residential 

anthracite coal, bituminous/subbituminous coal, distillate oil and kerosene, residual oil, natural 

gas, and LPG. All of these sources emit both filterable and condensible emissions. The QA 

review of the PM emissions data for these sources focused on verifying that the emissions 

reported in the State inventories included both filterable and condensible emissions. The 

emissions for these pollutants can be reported in State inventories individually (i.e., as filterable 

and condensible separately) or as primary emissions (i.e., the sum of the filterable and 

condensible emissions). The QA review also focused on evaluating the emission factors reported 

in the State inventories to determine if they were reasonable. 

Appendix G Att. 13a - Page Number

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41 

Table III-1. Summary of MANE-VU-Sponsored Inventories Included in Version 1 of th

Source Consolidated Emissions Inventory 

MANE-VU Inventory Included in 

State’s Inventory Submitted to 

EPA 

Not Included in State’s 

Inventory - Add to MANE-VU 

Inventory 

State’s Inventory Include

Developed Estimat

Area Source 

Category Pollutant SCCs Annual 

Summer 

Day 

Winter 

Day Annual 

Summer 

Day 

Winter 

Day Annual 

Summer 

Day 

POTWs NH3, VOC 2630020010 

(Wastewater 

Treatment) 

DE, NJ, PA DE, NJ, PA VT VT CT, DC, DE, 

MA, MD, NH, 

NJ, NY 

CT, DC, DE, 

MA, MD, NH

NJ 

 2630020020 

(Biosolids 

Processes) 

DE, NJ, PA DE, NJ, PA VT VT CT, DC, DE, 

MA, MD, NH, 

NJ, NY 

CT, DC, DE, 

MA, MD, NH

NJ 

 2630050000 

(Digested Sludge) 

DE, NH, 

NJ, PA 

DE, NH, NJ, 

PA 

 VT VT CT, DC, DE, 

MA, MD, NY

CT, DC, DE, 

MA, MD 

Composting NH3, VOC 2680001000 (Biosolids) NH, NJ NH, NJ CT, DC, MA, ME, 

PA, VT 

CT, DC, MA, 

ME, PA, VT 

 2680002000 

(Mixed Biosolids and 

Green Waste) 

NH, NJ NH, NJ CT, DC, 

MA, ME, 

PA, VT 

CT, DC, MA, 

ME, PA, VT 

 2680003000 

(Composting; Green 

Waste) 

 DC, MA, 

ME 

DC, MA, ME 

Industrial Refrigeration 

NH3 2399010000 ME, NH, 

NJ 

ME, NH, NJ CT, MA, 

PA, VT 

CT, MA, PA, 

VT 

2104008000 

(Indoor) 

MA, MD, 

NH 

MA, MD, 

NH 

MA, MD, 

NH 

CT, DE, 

ME 

CT, DE, ME CT, DE, 

ME 

Residential NJ, NY, VT NJ Wood Combustion 

All criteria 

pollutants/ 

precursors, and 

many toxic air 

pollutants 

2104008070 

(Outdoor) 

MA, MD, 

NH 

MA, MD, 

NH 

MA, MD, 

NH 

CT, DE, 

ME 

CT, DE, ME CT, DE, 

ME 

2610000100 

(Leaves) 

MA, MD, 

NH, PA 

 DC, DE, 

NY, VT 

 NJ NJ 

2610000400 

(Brush) 

MA, MD, 

PA 

 CT, DC, 

DE, NY, VT

 NJ NJ 

2610030000 

(Municipal Solid 

Waste) 

MA, MD, 

PA 

 DC, DE, 

NY 

 NH, NJ NH, NJ 

Open Burning All criteria pollutants/ 

precursors, and 

many toxic air 

pollutants 

2610040400 

(Municipal Yard 

Waste) 

MA, NY, 

PA 

 DC, NY, 

VT 

 DE, NJ DE, NJ 

Appen
Table III-1 (continued) 

42 

Notes: Gray shading identifies categories for which daily emissions are not available. POTWs: CT, MD: Provided VOC but not NH3 emissions in its State inventory. 

DC, MA, MD, ME, NH, RI: Reported POTW emissions under SCC 2630020000 (Total Processed). DE: MANE-VU inventory used for NH3; DE provided its own VOC emissions under SCC 2630020000 (Total Processed). 

NJ: MANE-VU-sponsored inventory used for NH3 only. NJ included its own inventory for the other criteria pollutants under SCCs 2630010000 and 2630020000. 

NY: Reported VOC emissions under SCC 2630000000 (from the preliminary 2002 NEI) and SCC 2630020000 (State-developed inventory). MANE-VU-sponsored 

Composting: CT, NH: SCC 2680003000 is not in the MANE-VU-sponsored composting inventory for these States. DE: This State does not have composting activity. MD: State requested that the MANE-VU inventory for this category not be included in its inventory. NY, RI: Did not include emissions for this category in the 2002 inventory. Industrial Refrigeration: DC: Requested that the preliminary 2002 NEI be used but the NEI does not contain any emissions for this category in DC. DE: State-developed emissions are included in point source inventory. MD, RI: Did not include emissions for this category in its inventory. ME: Used the MANE-VU inventory emissions under SCC 2302080002 (Miscellaneous Food and Kindred Products/Refrigeration). 

NH: Original inventory submittal to EPA includes SO2 and PM emissions for SCC 2399000000 from the preliminary 2002 NEI; NH3 emissions for SCC 239901000

NY: Original inventory submittal to EPA includes SO2 and PM emissions for SCC 2399000000 from the preliminary 2002 NEI; NY did not use the MANE-VU-spon

2399010000. 

Residential Wood Combustion: DC: RWC inventory in 2002 NEI covers seven SCCs and does not include daily emissions. Open Burning: CT: Statewide activity for SCC 2610000100 (Leaves) and SCC 2610030000 (Municipal Solid Waste) is negligible.  For SCCs 2610000400 (Brush) and 2610040400 (Municipal Yard Waste), State initially provided VOC, NOx, and CO emissions under SCC 2610000000 whic

master SCC list. CT recalculated emissions to include VOC, NOx, CO, PM10-PRI/-FIL, and PM25-PRI/-FIL, and placed the emissions on valid SCC 261

since the majority of the activity is associated with activities covered by this SCC. 

MD: The MANE-VU inventory for SCC 2610040400 (Municipal Yard Waste) reports zero emissions indicating that the activity for the category does not occur in M

inventory for this reason. 

NH: Did not include NH3 emissions in MANE-VU inventory for SCC 2610040400 (Municipal Yard Waste). 

Appen
43 

To support the QA review effort, the uncontrolled PM emission factors shown in Table III-2 

were compiled from AP-42. The emission factors reported in the State inventories were 

compared to the emission factors in this table. Emission factors that appeared too high or too 

low were flagged for review by the State agency. In addition, inventory data were flagged for 

review by the State agency if the emissions were reported under the primary PM pollutant codes 

but the emission factors matched with the emission factors for filterable PM in Table III-2. 

Finally, if emission factors were not reported in the State agency inventory, the emission factors 

were back-calculated using the throughput data (if available), emissions, rule effectiveness 

values, and control efficiency data (if available). The back-calculated emission factors were 

compared to the factors in Table III-2 to identify data with major difference between the factors. 

It is emphasized that the uncontrolled emission factors in Table III-2 were used as a reference for 

reviewing State inventory data. The emission factors in this table should not be construed to be 

the best available for all State agencies since the emission factors will vary depending on the 

composition of the boiler population in an agency’s area source inventory. 

Delaware, Massachusetts, Maryland, New Hampshire, New Jersey, New York, and Pennsylvania 

provided their own inventory for all fossil fuel combustion categories. Connecticut, the District 

of Columbia, Maine, Rhode Island, and Vermont used fossil fuel combustion inventory data in 

the preliminary 2002 NEI for some or all of the categories. The following provides details on the 

origin of the fossil fuel combustion inventories for these States: 

 

Connecticut supplied VOC, NOx, and CO emissions from its 1999 inventory for industrial 

and commercial/institutional fossil fuel combustion. PM10-PRI, PM25-PRI, SO2, and 

NH3 emissions were taken from preliminary NEI estimates (carried forward from 

Version 3 of the 1999 NEI). For the residential sector, Connecticut’s inventory was taken 

from the preliminary 2002 NEI. Connecticut provided guidance on the counties with 

natural gas and LPG activity for which to use the NEI estimates. 

For the District of Columbia, the preliminary NEI was used to gap fill missing PM10-PRI 

and PM25-PRI emissions for commercial/institutional bituminous/ subbituminous coal 

combustion and PM10-PRI, PM25-PRI, SO2, and NH3 for commercial/institutional natural 

gas combustion. The NEI estimates for these commercial/institutional categories were 

carried forward from Version 3 of the 1999 NEI. The District of Columbia used the NEI 

estimates for residential bituminous/subbituminous coal combustion. 

Maine and Rhode Island used the preliminary 2002 NEI for all three sectors. The NEI 

estimates for the industrial and commercial/institutional sectors were carried forward from 

Version 3 of the 1999 NEI, while the residential sector estimates are based on 2000 or 

2002 activity estimates prepared by EPA. 

Vermont used the preliminary 2002 NEI for the industrial and commercial/ institutional 

sectors and residential anthracite coal (carried forward from Version 3 of the 1999 NEI), 

but provided its own inventory for residential distillate oil, natural gas, and LPG. 

 

Appendix G Att. 13a - Page Number

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44 

Table III-2. Area Source Industrial, Commercial/Institutional, and Residential Fossil Fuel 

Uncontrolled Emission Factors for PM10-PRI/FIL, PM25-PRI/FIL, and PM-CON 

Pollutant1 

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Industrial Boilers: Anthracite Coal (SCC 2102001000) PM10-FIL 2.3 x % Ash content 

of coal 

LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM25-FIL 0.6 x % Ash content 

of coal 

LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%) (used Commercial/Institutional emissiocontent is EPA, 2002. 

PM-CON 0.08 x % Ash 

content of coal 

LB TON 1.07 AP-42 Table 1.2-3 Used formula for SCC 10300

formula of .08 * % Ash Content (13.38%). Refer

2002. 

PM10-PRI LB TON 31.84 PM25-PRI LB TON 9.10 Industrial Boilers: Bituminous/Subbituminous Coal (SCC 2102002000) PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EF (used Commercial/InstitutPM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EF (used Commercial/InstitutPM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (used Commercial/InstitutionaPM10-PRI LB TON 14.24 PM25-PRI LB TON 5.64 Industrial Boilers and IC Engines: Distillate Oil (SCC 2102004000) PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6 PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.30 PM25-PRI LB E3GAL 1.55 Industrial Boilers: Residual Oil (SCC 2102005000) PM10-FIL 7.17 x % Sulfur 

content of oil 

LB E3GAL 10.683 AP-42 Table 1.3-5. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM25-FIL 4.67 x % Sulfur 

content of oil 

LB E3GAL 6.958 AP-42 Table 1.3-5. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM-CON 1.5 LB E3GAL 1.5 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 12.18 PM25-PRI LB E3GAL 8.46 Industrial Boilers and IC Engines: Natural Gas (SCC 2102006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2 PM10-PRI 7.6 LB E6FT3 7.60 PM25-PRI 7.6 LB E6FT3 7.60 

Appen
Table III-2 (continued) 

45 

Pollutant1 

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Industrial Boilers - Liquified Petroleum Gas (SCC 2102007000) PM10-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1 PM25-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1 PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to 

Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 1.11 PM25-PRI LB E3GAL 1.11 Industrial Boilers: Kerosene (SCC 2102011000) PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6 PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-6 PM10-PRI LB E3GAL 2.30 PM25-PRI LB E3GAL 1.55 Commercial/Institutional Heating: Anthracite Coal (SCC 2103001000) PM10-FIL 2.3 x % Ash content 

of coal 

LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM25-FIL 0.6 x % Ash content 

of coal 

LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM-CON 0.08 x % Ash 

content of coal 

LB TON 1.07 AP-42 Table 1.2-3 Used formula for SCC 10300

formula of 0.08 * % Ash Content (13.38%). Refe2002. 

PM10-PRI LB TON 31.84 PM25-PRI LB TON 9.10 Commercial/Institutional Heating: Bituminous and Lignite (SCC 2103002000) PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EF PM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EF PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26MMBtu/toPM10-PRI LB TON 14.24 PM25-PRI LB TON 5.64 Commercial/Institutional Heating: Distillate Oil (SCC 2103004000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 

Appen
Table III-2 (continued) 

46 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Commercial/Institutional Heating: Residual Oil (SCC 2103005000) PM10-FIL 5.17 x % Sulfur 

content of oil 

LB E3GAL 7.703 AP-42 Table 1.3-7. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM25-FIL 1.92 x % Sulfur 

content of oil 

LB E3GAL 2.861 AP-42 Table 1.3-7. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM-CON 1.5 LB E3GAL 1.5 AP-42, Table 1.3-2 PM10-PRI LB E3GAL 9.20 PM25-PRI LB E3GAL 4.36 Commercial/Institutional Heating: Natural Gas (SCC 2103006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2 PM10-PRI LB E6FT3 7.60 PM25-PRI LB E6FT3 7.60 Commercial/Institutional Heating: Liquified Petroleum Gas (SCC 2103007000) PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial BoiPM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial BoiPM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to 

Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 0.91 PM25-PRI LB E3GAL 0.91 Commercial/Institutional Heating: Kerosene (SCC 2103011000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 Residential Heating: Anthracite Coal (SCC 2104001000) PM10-FIL 10 LB TON 10 EPA, 2002. PM25-FIL 0.6 x % Ash content 

of coal 

LB TON 8.03 EF calculated from formula of 0.6 * % Ash Conte

EF and ash content is EPA, 2002. 

PM-CON 0.08 x % Ash 

content of coal 

LB TON 1.07 EF calculated from formula of 0.08 * % Ash Con

EF and ash content is EPA, 2002. 

PM10-PRI LB TON 11.07 PM25-PRI LB TON 9.10 

Appen
Table III-2 (continued) 

47 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Residential Heating: Bituminous and Lignite Coal (SCC 2104002000) PM10-FIL 6.2 LB TON 6.2 AP-42 Table 1.1-11 PM25-FIL 3.8 LB TON 3.8 AP-42 Table 1.1-11 PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26 MMBtu/tPM10-PRI LB TON 7.24 PM25-PRI LB TON 4.84 Residential Heating: Distillate Oil (SCC 2104004000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 (Commercial/Institutional EF) PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 (Commercial/Institutional EF) PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 Residential Heating: Natural Gas - All types (SCC 2104006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4.2 PM10-PRI LB E6FT3 7.60 PM25-PRI LB E6FT3 7.60 Residential Heating: Liquified Petroleum Gas (SCC 2104007000) PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propan

based on EIIP) 

PM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propan

based on EIIP) 

PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to 

Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 0.91 PM25-PRI LB E3GAL 0.91 Residential Heating: Kerosene (SCC 2104011000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 1 PM10-PRI EF = sum of PM10-FIL and PM-CON emission factors; PM25-PRI EF = sum of PM25-FIL and PM-CON emission factors. 

Appen
48

Revisions to the NEI for residential LPG and kerosene were completed after the preliminary 

2002 NEI was released in February 2004. Connecticut, the District of Columbia, Maine, and 

Rhode Island approved replacement of the preliminary 2002 NEI estimates with the revised 

estimates for LPG. Connecticut was the only State that elected to use the NEI for the residential 

kerosene category, and Connecticut approved replacing the preliminary 2002 NEI for this 

category with the revised inventory prepared by EPA. 

Other Sources of PM Emissions

For States that provided only PM10-FIL and PM25-FIL emissions, PM10-PRI emissions were 

set equal to PM10-FIL emissions and PM25-PRI emissions were set equal to PM25-FIL 

emissions. The PM10-PRI and PM25-PRI emissions that were added to the inventory were 

assigned a data source code of S-02-X-PR where S-02-X represents the code assigned to the 

PM10-FIL and PM25-FIL emissions provided by the State agency and the “-PR” indicates that 

the ratio was applied to estimate the primary emissions (in this case, the ratio of primary to 

filterable emissions is “1”). 

PM25-PRI emissions missing from State inventories were estimated by applying a ratio of 

PM25-PRI-to-PM10-PRI emissions to the PM10-PRI emissions provided by the State agency. 

Table III-3 identifies the agencies with SCCs for which ratios were applied to estimate PM25-

PRI emissions. This table also shows the ratios and the reference for the ratios. 

Appendix G Att. 13a - Page Number

58
49

Table III-3. SCCs for which PM25-PRI Emissions were Estimated by Applying a 

Ratio to the PM10-PRI Emissions in the State inventory 

SCC SCC Description Agency 

Ratio of 

PM25-

PRI to 

PM10-

PRI Reference 

2309100010 Industrial Processes: Fabricated Metals: 

SIC 34: Coating, Engraving, and Allied 

Services: Electroplating 

NY 0.947 AP-42 emission factors for hard chrome 

plating tank controlled with mist 

eliminator. AP-42 (Table 12.20-3) 

shows 94.7% of total PM as less than 

2.35 micrometers. Applied factor to 

State-supplied PM10-PRI emissions to 

estimate PM25-PRI emissions. 

2461023000 Solvent Utilization: Miscellaneous Nonindustrial: Commercial: Asphalt Roofing: 

Total: All Solvent Types 

MA 1 No data available; assumed PM25-PRI 

equals PM10-PRI. 

2601000000 Waste Disposal, Treatment, and Recovery: 

On-site Incineration: All Categories: Total 

MD, NH 1 No data available; assumed PM25-PRI 

equals PM10-PRI. 

2610000100 Waste Disposal, Treatment, and Recovery: 

On-site Incineration: All Categories: Yard 

Waste - Leaf Species Unspecified 

NH 1 No data available; assumed PM25-PRI 

equals PM10-PRI. 

2810001000 Miscellaneous Area Sources: Other 

Combustion: Forest Wildfires: Total 

MD 1 No data available; assumed PM25-PRI 

equals PM10-PRI. 

2810015000 Miscellaneous Area Sources: Other 

Combustion: Prescribed Burning for Forest 

Management: Total 

MD 1 No data available; assumed PM25-PRI 

equals PM10-PRI. 

2810020000 Miscellaneous Area Sources: Other 

Combustion: Prescribed Burning of 

Rangeland: Total 

MD 0.86 Based on ratio of PM25-PRI to PM10-

PRI for same SCC used by States in 

2002 NEI. 

2810030000 Miscellaneous Area Sources: Other 

Combustion: Structure Fires: Total 

MD, NH 0.91 NEI Method. 

2810050000 Miscellaneous Area Sources: Other 

Combustion: Motor Vehicle Fires: Total 

MD, NH 0.91 NEI Method. 

d. 2002 NEI 

Merging of NEI Data into State Inventories

The area source inventory provided by each State agency was compared to the 2002 NEI to 

identify categories in the NEI that were not in each State inventory. The list of categories 

identified was provided to each State agency and each agency then selected the NEI categories to 

be added to its inventory. Identification of categories included in the 2002 NEI but not in a State 

inventory involved a two-step process. First, Pechan identified the categories in the NEI that did 

not have an electronic match on the data key of the EM table between the State inventory and the 

NEI. Then, Pechan manually compared the NEI categories without an electronic match to the 

State inventory to identify and eliminate NEI categories that were in the State inventory but had 

a different SCC. For example, a State inventory may use a general SCC for a category while the 

NEI may use different SCCs to breakout emissions at a finer detail. Examples of categories 

where this typically occurred include the residential wood combustion, open burning of land 

clearing debris, solvent utilization, and petroleum marketing and transportation categories. In 

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addition, if a State agency requested that a MANE-VU-sponsored inventory be added to its 

inventory, the NEI categories that overlapped with the MANE-VU -sponsored categories were 

removed from the list of NEI categories considered for incorporation into a State inventory. 

The source categories in the 2002 NEI that were added to a State inventory can be identified 

where the data source code starts with “E”. These categories can be identified using the data 

source code field in the NIF 3.0 files or in the summary of area source emissions that contains 

the data source code. 

Revisions to the Preliminary 2002 NEI

During preparation of the MANE-VU inventory, EPA completed revisions to the emissions for 

six categories in the preliminary 2002 NEI released in February 2004. As agreed to with each 

State agency, the revised emissions were used in the MANE-VU inventory in lieu of the 

preliminary 2002 NEI emissions if the agency requested that the category be included. 

• Non-Residential Construction (SCC 2311020000): 2002 emissions data replaced 

data in preliminary 2002 NEI that were carried forward from 1999 NEI. 

• Highway Construction (SCC 2311030000): 2002 emissions data replaced data in 

preliminary 2002 NEI that were carried forward from 1999 NEI. 

• Open Burning of Land Clearing Debris (SCC 2610000500): 2002 emissions data 

replaced data in preliminary 2002 NEI that were carried forward from 1999 NEI. 

The activity for this category was based on activity prepared for the non-residential 

and highway construction categories. For 2002, emissions were set to zero for 

counties with a population that was 80% urban or more based on 2000 Census data. 

This was not done for the 1999 NEI. For the NEI method, it was assumed that 

highly urban counties do not allow this activity to take place. Note that 2002 

emissions data were already included in the preliminary 2002 NEI for the open 

burning of residential municipal solid waste, open burning of yard waste, and the 

residential construction categories. 

• Residential LPG Combustion (SCC 2104007000): 2000 emissions data replaced 

data in the preliminary 2002 NEI that were carried forward from 1999 NEI. 

• Residential Kerosene Combustion (SCC 2104011000): 2000 emissions data 

replaced data in the preliminary 2002 NEI that were carried forward from 1999 

NEI. 

• Residential Wood Combustion (SCCs starting with 2104008xxx; 4 SCCs for 

fireplaces and 3 SCCs for woodstoves): The preliminary 2002 NEI emissions were 

revised to: 

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• Correct the CO, PM10-PRI, and PM25-PRI emission factors for fireplaces 

without inserts (this change doubled the emission factors associated with 

correcting an error in converting the values from g/kg to lb/ton); 

• Correct the climate zone map for allocating national activity to States; 

• Replace 1997 total residential wood consumption with 2001 estimates (this 

change reduced wood consumption for fireplaces with inserts and 

woodstoves); 

• Update urban/rural population data to reflect 2002 estimates based on year 

2002 total county population and year 2000 county ratios of urban/rural 

population to total population; and 

• Change the data source code from E-02-X (this was incorrect) to E-01-X to 

reflect 2001 activity data adjusted to 2002. 

e. QA Review of Final Inventory 

Final QA checks were run on the revised data set to ensure that all corrections provided by the 

State agencies were incorporated into the State inventories and that there were no remaining QA 

issues that could be addressed during the duration of the project. After exporting the inventory 

in Oracle to an Access database in NIF 3.0, the EPA’s QA program was run on the Access 

database and the QA output was reviewed to verify that all QA issues that could be addressed 

were resolved (EPA, 2004a). 

The output file from the EPA’s QA program run on the area source inventory is provided 

in an Access 2000 database along with the Access database containing the area source inventory 

in NIF 3.0. 

Additional Work on Area Source Methods

• Fugitive Dust Emissions from Paved and Unpaved Roads 

Review of Methods 

This work involved compiling and summarizing information on emission estimation methods 

and data sources from the MANE-VU State agencies, RPOs, and EPA for the following fugitive 

dust area source categories: windblown dust, paved and unpaved roads, agricultural tiling and 

harvesting, and construction activities. A short survey form was prepared and sent to the 

MANE-VU State agencies to collect information on whether an agency had activity for each 

category during 2002. For each agency for which activity occurred in its jurisdiction during 

2002, information was requested on the methods and data sources it used to prepare its 2002 

inventory for each category. This information was used to prioritize the categories (e.g., work on 

agricultural field burning was eliminated from further consideration if MANE-VU State agencies 

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did not have activity for this category). The methods and data applied by RPOs other than 

MANE-VU were obtained from RPO websites and discussions with the RPOs. 

The results of this review were documented in a technical memorandum (MANE-VU, 2004b). 

Based on the results of the review, MANE-VU decided to proceed with developing a paved and 

unpaved road fugitive dust inventory that incorporated improvements to activity data used in the 

NEI methodology. 

Methods for Improving Paved and Unpaved Road Fugitive Dust Inventory 

Fugitive dust emissions from paved and unpaved roads are classified under SCCs 2294000000 

and 2296000000, respectively. Fugitive dust emissions from paved and unpaved road traffic 

were estimated for PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL. Since these categories 

are not sources of PM-CON, PM10-PRI emissions are equal to PM10-FIL emissions and PM25-

PRI emissions are equal to PM25-FIL. The following provides a summary of the methods. 

Paved Roads 

Several changes were made in the paved road fugitive dust emission calculations to improve 

these estimates over those prepared for EPA’s 2002 NEI. First, the monthly precipitation data 

representing the number of days in a month with at least 0.01 inches of precipitation were 

developed at the county level. In comparison, a single monthly precipitation value was used to 

model an entire State in the 2002 NEI. Thus, the resulting MANE-VU county-specific paved 

road fugitive dust emission estimates should be more representative of each county than the NEI 

data since precipitation events can vary significantly from one part of the State to another. 

The second improvement made to the paved road fugitive dust emission calculations was the use 

of county and road-type-specific average vehicle weights. This is an improvement over the NEI 

where a single average vehicle weight is applied nationwide. Thus, in the MANE-VU inventory, 

county/road type combinations with significant heavy truck traffic have a higher average vehicle 

weight and a corresponding emission factor compared to county/road type combinations with 

primarily lighter vehicle traffic. 

The final improvement made to the MANE-VU paved road emission calculations was the use of 

the winter silt loading adjustments. These adjustments account for the application of sand and 

salt on the roads during months with frozen precipitation. The 2002 NEI does not include any 

wintertime silt loading adjustments. The effect of the wintertime silt loading adjustments is an 

increase in the paved road emission factors during the months in which it is applied. The months 

during which this adjustment was applied varied by State in the MANE-VU inventory. 

Unpaved Roads 

The county-specific precipitation data used in the paved road fugitive dust calculations were also 

used to improve the unpaved road fugitive dust calculations. As with the paved roads, this 

represents an improvement over the State-specific precipitation data used in the 2002 NEI 

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unpaved road emission inventory. The other improvement made to the unpaved roads was the 

use of State-supplied unpaved road mileage data by county for Maine. 

•Wildfires and Prescribed Burning 

Review of Methods 

This work involved compiling and summarizing information on emission estimation methods 

and data sources from the MANE-VU State agencies, RPOs, and EPA for the following area 

source categories: wildfires, prescribed burning, slash burning, and agricultural field burning. 

The approach previously described for the fugitive dust categories was used to collect and 

compile data from the MANE-VU State agencies, RPOs other than MANE-VU, and EPA for the 

fire categories. All of the information collected from these various information sources was 

summarized in a technical memorandum (MANE-VU, 2004c). 

Results of Methods Review 

MANE-VU recognized the need to improve the methods for estimating emissions for the fire 

categories. The most important revision would be to inventory fire events as point sources rather 

than as area sources at the county-level. However, due to resource constraints, it was decided 

not to pursue improvements to the methods for estimating emissions from the fire categories. It 

should be noted that during this project, some of the MANE-VU States provided revisions to 

their wildfire and prescribed burning inventories to add PM25-PRI emissions and to improve the 

spatial allocation of activity data at the county level. These improvements were incorporated 

into the MANE-VU area source inventory. 

3. Version 3 Revisions 

The following explains revisions to Version 3 that applied to several or all of the MANE-VU 

States. 

Gap Filling

In Version 2 of MANE-VU’s inventory, emissions for PFCs, industrial adhesives, and residential 

outdoor wood burning existed for some States but were missing for other States. Since these are 

categories for which SIP rules may be developed, it was determined that emissions for these 

categories should be added to Version 3. The following provides a summary of the Version 3 

revisions to address missing data concerns for these categories: 

• PFCs: MANE-VU estimated default 2002 emissions for these States using a per capita 

emission factor and county population data for each State. The derivation of the emission 

factor, population data, and calculation of annual and daily VOC emissions for PFCs is 

provided in an Excel file named “PFC_Adhesive Calcs for 2002_022106.xls” along with 

this TSD. 

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Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont elected 

to use MANE-VU’s default inventory which was added to Version 3. Massachusetts 

elected to use the per capita emission factor but provided revisions to the population data, 

used 2002 owner occupied units to allocate the emissions to counties, and then allocated 

emissions between the commercial (16%) and residential (84%) sectors. Massachusetts’ 

calculations are provided in the spreadsheet named "Version 3 Revisions" in the Excel 

file named MA_AR_QA_Report_030806.xls" provided with this TSD. 

• Industrial Adhesives: Emissions for industrial adhesives were missing in Version 2 for 

Connecticut, the District of Columbia, Delaware, Maryland, Massachusetts, and Rhode 

Island. MANE-VU estimated default 2002 emissions for these States using a per capita 

emission factor and county population data for each State. The derivation of the emission 

factor, population data, and calculation of annual and daily VOC emissions for industrial 

adhesives is provided in an Excel file named “PFC_Adhesive Calcs for 

2002_022106.xls” along with this TWD. 

Massachusetts elected to use MANE-VU’s gap-filling inventory which was added to 

Version 3. The rest of the States elected to use EPA’s 2002 inventory which is based on 

a top-down, mass balance methodology where national industrial adhesive solvent 

estimates were allocated to counties using industrial employment. The EPA estimates 

were adjusted to remove uncontrolled VOC emissions included in the final 2002 point 

source NEI. The point-source adjustments were conducted at the county level. Note that 

the point-source-adjusted emissions for Rhode Island are zero for all three counties. 

Note New Jersey is the only State that prepared its own 2002 inventory for this category 

that is included in Version 3. The industrial adhesive inventory data for the rest of the 

MANE-VU States originates from the 1999 NEI. These States were contacted to 

determine if they wanted the 1999 data replaced with the default estimates or with the 

EPA’s 2002 inventory for industrial adhesives. Maine commented that the 1999 

estimates are more realistic of the solvent emissions for their State than the 2002 NEI or 

MANE-VU default estimates. The other States did not indicate that they wanted their 

data replaced. Therefore, the 1999 NEI data for Maine, New Hampshire, New York, 

Pennsylvania, and Vermont was not changed in Version 3 of MANE-VU’s inventory. 

• Residential Wood Burning: Residential outdoor wood burning emissions were missing in 

Version 2 of the MANE-VU inventory for the District of Columbia, Pennsylvania, Rhode 

Island, and Vermont. In Versions 1 and 2, New Jersey’s and New York’s emissions for 

outdoor wood burning were included with their inventory for indoor wood burning. The 

District of Columbia, Rhode Island, and Vermont elected to use MANE-VU’s outdoor 

wood burning inventory which was added to Version 3. In addition, per direction 

provided by New Jersey, its wood burning inventory was replaced with the MANE-VUsponsored indoor wood burning inventory in Version 3, and the MANE-VU outdoor 

wood burning inventory was added to Version 3. 

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New York’s inventory in Version 2 included emissions for both residential indoor and 

outdoor wood burning. For Version 3, New York provided revisions that lowered its 

overall emissions relative to Version 2 and broke out its inventory to show emissions for 

fireplaces, woodstoves, and outdoor equipment separately. New York also added NH3

emissions to its inventory for Version 3. 

Adjustments to PM2.5 Emissions for Fugitive Dust Categories

Information developed by the Western Governors’ Association, Western Regional Air 

Partnership (WRAP) Dust Emissions Joint Forum and EPA indicates that, for paved and unpaved 

roads and the construction nonpoint source categories, the PM2.5-to-PM10 ratio is lower than the 

ratio used in the EPA method to estimate PM25-PRI/-FIL emissions from PM10-PRI/-FIL 

emissions (WRAP, 2005). Therefore, for the final 2002 NEI, EPA applied an adjustment factor 

to the PM25-PRI/-FIL emissions to correct for overestimates of PM25-PRI/-FIL emissions for 

these categories. Because the PM2.5-to-PM10 ratio used for the MANE-VU States is based on the 

EPA method, this information was communicated to the MANE-VU States and all of the States 

agreed that these adjustments should be made to the MANE-VU inventory. Table III-4 identifies 

the categories to which this adjustment was applied, the old and new PM2.5-to-PM10 ratios, and 

the adjustment factors applied to the PM25-PRI/-FIL emissions in Version 3 of MANE-VU’s 

inventory. Note that these adjustments to PM2.5 emissions were applied prior to applying the 

transport adjustment factors for PM10 and PM2.5 emissions. The modelers applied the transport 

adjustment factors to the mass emissions in Version 3. Documentation of the file containing the 

transport adjustment factors is provided under “Speciation Profiles” section of Table VII-1 in 

Chapter VII. 

For the construction categories, the EPA assumed an original PM2.5-to-PM10 ratio of 0.15 and an 

adjustment factor of 0.67. However, the original PM2.5-to-PM10 ratio used for both the NEI 

method and MANE-VU's inventory for construction is 0.2. Based on discussions with EPA, the 

goal is to revise the original PM2.5 emissions such that the PM2.5-to-PM10 ratio is 0.1. Therefore, 

for Version 3 of MANE-VU's 2002 area source inventory, an adjustment factor of 0.5 (ratio of 

0.1-to-0.2) was applied to adjust the PM2.5 emissions. 

Note that based on Pechan’s discussions with EPA during the week of March 6, 2006 concerning 

the application of the paved road PM2.5 adjustment factor, it was determined that adjusting the 

emissions by applying the factor (shown in Table III-4) to the PM2.5 emissions is a simplistic 

approach. The EPA noted that it is evaluating this issue and will be issuing guidance in the near 

future for revising the equation for estimating PM2.5 emissions which, when applied, will likely 

yield different results. Because EPA was unable to provide guidance on how to address this 

issue before Version 3 needed to be completed during the week of March 6, the adjustment 

factor shown in Table III-4 was applied to the PM2.5 emissions for paved roads because this 

adjustment will provide a better estimate of PM2.5 emissions than the unadjusted emissions. 

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Table III-4. Revisions to PM25-PRI and PM25-FIL Emissions for Paved and 

Unpaved Roads and Construction 

SCC SCC Description 

Original 

PM2.5-to-PM10

Ratio 

Revised 

PM2.5-to-PM10

Ratio 

Adjustment 

Factor1,2

2294000000 Mobile Sources : Paved Roads : All Paved Roads : 

Total: Fugitives 

0.25 0.15 0.6 

2296000000 Mobile Sources : Unpaved Roads : All Unpaved 

Roads : Total: Fugitives 

0.15 0.1 0.67 

2296005000 Mobile Sources : Unpaved Roads : Public Unpaved 

Roads : Total: Fugitives 

0.15 0.1 0.67 

2296010000 Mobile Sources : Unpaved Roads : Industrial 

Unpaved Roads : Total: Fugitives 

0.15 0.1 0.67 

2311000000 Industrial Processes : Construction: SIC 15 - 17 : 

All Processes : Total 

0.2 0.1 0.50 

2311010000 Industrial Processes : Construction: SIC 15 - 17 : 

Residential : Total 

0.2 0.1 0.50 

2311010040 Industrial Processes : Construction: SIC 15 - 17 : 

Residential : Ground Excavations 

0.2 0.1 0.50 

2311020000 Industrial Processes : Construction: SIC 15 - 17 : 

Industrial/Commercial/Institutional : Total 

0.2 0.1 0.50 

2311020040 Industrial Processes : Construction: SIC 15 - 17 : 

Industrial/Commercial/Institutional : Ground 

Excavations 

0.2 0.1 0.50 

2311030000 Industrial Processes : Construction: SIC 15 - 17 : 

Road Construction : Total 

0.2 0.1 0.50 

1

 For these categories, filterable and primary emissions are equal because they are not sources of condensible emissions. The adjustment 

factor was applied to both the PM25-PRI and PM25-FIL emissions and emission factors in the MANE-VU inventory. 2

 See text for discussion of issue concerning the adjustment factor for paved road PM2.5 emissions. Also, for construction, see text for 

explanation of PM2.5 adjustment factor shown in this table. 

Removal of Invalid CE Records

For the following SCCs, Version 2 contained invalid CE records for Connecticut, the District of 

Columbia, Maine, New Hampshire, New York, Pennsylvania, Rhode Island, and Vermont that 

were removed in Version 3: 

SCC SCC Description

2311020000 Construction: SIC 15 - 17 : Industrial/Commercial/Institutional : Total 

2311030000 Construction: SIC 15 - 17 : Road Construction : Total 

2610000100 Open Burning : All Categories : Yard Waste - Leaf Species Unspecified 

2610000400 Open Burning : All Categories : Yard Waste - Brush Species Unspecified 

2610030000 Open Burning : Residential : Household Waste 

The CE records all originate from the preliminary 2002 NEI that have been removed from the 

final 2002 nonpoint NEI. They are invalid because they have a control efficiency value of 100% 

and corresponding records in the EM table with rule effectiveness and rule penetration values of 

100% (implying that the emissions are zero), but with emissions greater than zero. The Excel 

spreadsheet file named “CE_records_removed from V3.xls” provides the CE records by State 

and county FIPS, SCC, and pollutant code that were removed in Version 3. 

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4. Version 3 Emissions Summary 

Table III-5 presents a State-level summary of the annual area source emissions in Version 3 of 

the 2002 MANE-VU inventory. Note that PM10-PRI and PM25-PRI emissions are included in 

the inventory for all SCCs for which State agencies reported any form of PM, PM10, and/or PM2.5

emissions. If an agency did not report PM10-PRI and/or PM25-PRI but reported PM-PRI, PMFIL, PM-CON, PM10-FIL, and/or PM25-FIL, the PM augmentation procedures discussed in the 

TSD were applied to the form of PM emissions supplied by the agency to calculate emissions for 

the other forms of PM emissions. If an agency reported PM10-PRI and/or PM25-PRI emissions 

but not PM10-FIL, PM25-FIL, or PM-CON emissions, the agency's inventory was not 

augmented to calculate filterable or condensible emissions. Note that PM-CON is associated 

with only fuel combustion sources. 

For NH3, the area source inventory includes emissions for natural sources for the following 

States: SCCs 28060xxxxx for domestic cats and dogs in Delaware, Massachusetts, and New 

Jersey; 28070xxxxx for wild animals in Delaware, Massachusetts, New Jersey, and New York; 

and SCC 2810010000 for human perspiration in Delaware, Massachusetts, and New Jersey. 

The area source inventory also includes NH3 biogenic emissions (SCC 2701420000) for 

Massachusetts. 

Table III-5. Version 3 2002 MANE-VU Area Source Emissions by State (Tons/Year) 

State CO NH3 NOx PM10-FIL 

PM10-

PRI 

PM25-

FIL 

PM25-

PRI 

PMCON SO2 VOC 

Connecticut 70,198 5,318 12,689 37,790 48,281 4,038 14,247 846 12,418 87,302 

Delaware 14,052 13,279 2,608 12,910 13,039 3,075 3,204 128 1,588 15,519 

District of 

Columbia 2,300 14 1,644 5,745 6,293 507 1,029 147 1,337 6,432 

Maine 109,223 8,747 7,360 155,237 168,953 19,090 32,774 686 13,149 100,621 

Maryland 141,178 25,834 15,678 31,116 95,060 3,375 27,318 611 12,393 120,254 

Massachusetts 136,552 18,809 31,358 150,046 192,839 23,354 42,067 1,156 54,923 162,016 

New 

Hampshire 79,647 2,158 10,960 32,138 43,328 6,688 17,532 449 7,072 65,370 

New Jersey 97,657 17,572 26,692 37,282 61,601 2,811 19,350 476 10,744 167,882 

New York 356,254 67,422 98,803 288,991 369,595 30,894 87,154 102 130,409 507,292 

Pennsylvania 266,935 79,911 47,591 363,173 391,897 51,792 74,925 266 63,679 240,785 

Rhode Island 8,007 883 3,886 7,090 8,295 887 2,064 336 4,557 31,402 

Vermont 43,849 9,848 3,208 51,392 56,131 6,729 11,065 180 4,087 23,265 

MANE-VU 1,325,853 249,795 262,477 1,172,909 1,455,311 153,243 332,729 5,383 316,357 1,528,141 

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B. State-Specific Methods 

For each of the MANE-VU States, this section identifies the temporal basis of the emissions 

included in Version 3 and discusses revisions incorporated into Version 3. In addition, this 

section also discusses the origin of each State agency’s emissions included in Version 3. For 

each agency, a table is provided in Appendix B that lists the data source codes by SCC, emission 

type period, and pollutant. In addition, an electronic folder is provided for each State agency 

containing the QA Summary Reports prepared for Versions 1, 2, and/or 3 and other files 

documenting revisions included in Versions 2 and 3. Except for Rhode Island, a QA Summary 

Report was prepared for Version 1. Subsequently, a QA Summary Report was prepared for 

States that provided Version 2 or 3 revisions. Rhode Island elected to use EPA’s draft 2002 NEI 

for Versions 1 and 2 but provided revisions for Version 3; therefore, a QA Summary Report is 

available for Version 3 only for Rhode Island. 

1. Connecticut 

Table III-6 shows the emission type periods for which Connecticut provided emissions. 

Table III-6. Connecticut 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

Table B-1 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Connecticut provided 2002 emissions for many of the area source categories in Version 3. 

Connecticut elected to use the EPA’s 2002 inventory for industrial adhesives. Connecticut 

elected to use MANE-VU-sponsored inventories for the following source categories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor residential wood combustion; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily NH3 emissions for industrial refrigeration processes; 

• Annual and daily VOC emissions for PFCs; and 

• Annual and daily VOC and NH3 emissions for composting. 

Emissions for the remaining area source categories were taken from the draft 2002 NEI. For 

Connecticut, these emissions are either based on 2002 data prepared by EPA or carried forward 

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from final Version 3 of the 1999 NEI. Data carried forward from the 1999 NEI originate from 

either State data included in the 1999 NEI or EPA data developed for the 1999 NEI. 

2. Delaware 

Table III-7 shows the emission type periods for which Delaware provided emissions. 

Table III-7. Delaware 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20020831 30 DAILY 20011201 20020228 27 

ANNUAL 20020101 20021231 30 DAILY 20020101 20020831 27 

ANNUAL 20020512 20020512 30 DAILY 20020512 20020512 27 

ANNUAL 20020629 20020629 30 DAILY 20020601 20020831 27 

ANNUAL 20021029 20021029 30 DAILY 20020629 20020629 27 

ANNUAL 20021104 20021104 30 DAILY 20021029 20021029 27 

ANNUAL 20021205 20021205 30 DAILY 20021104 20021104 27 

 DAILY 20021205 20021205 27 

Table B-2 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Delaware provided 2002 emissions for the majority of the area source categories in Version 3, 

and used 2002 data that EPA prepared for the draft 2002 NEI or MANE-VU-sponsored 

inventories for the remaining categories. Delaware elected to use the EPA’s 2002 inventory for 

industrial adhesives, and prepared its own inventory for PFCs. Delaware elected to use data 

from MANE-VU-sponsored inventories for the following source categories: 

 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved roads 

(note: there are no unpaved roads in Delaware); 

• Annual and daily NH3 emissions for POTWs; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL, and SO2

emissions for open burning categories. 

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3. District of Columbia 

Table III-8 shows the emission type periods for which the District of Columbia provided 

emissions. 

Table III-8. District of Columbia 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

Table B-3 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

The District of Columbia provided 2002 emissions for the majority of the area source categories 

in Version 3. The District of Columbia provided annual VOC emissions for PFCs for Version 2 

that were kept in Version 3. The District of Columbia elected to use the EPA’s 2002 inventory 

for industrial adhesives and indoor wood burning. The exception is for the following categories 

for which the District of Columbia elected to use data from MANE-VU-sponsored inventories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved roads 

(note: there are no unpaved roads in the District of Columbia); 

• Annual and daily VOC and NH3 emissions for composting; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for open burning 

categories. 

4. Maine 

Table III-9 shows the emission type periods for which Maine provided emissions. 

Table III-9. Maine 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

DAILY 20020601 20020929 29 

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Table B-4 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

Note that some SCC and emission type period combinations are listed more than once because 

the data source codes are different for more than one SCC and emission type period combination. 

Maine provided 2002 emissions for many of the area source categories in Version 3. Maine’s 

inventory for industrial adhesives originates from the 1999 NEI. Maine provided annual and 

daily VOC and annual NH3 emissions for industrial wastewater treatment that were added to 

Version 3. Maine elected to use data from MANE-VU-sponsored inventories for the following 

source categories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily VOC emissions for PFCs; and 

• Annual and daily VOC and NH3 emissions for composting. 

5. Maryland 

Table III-10 shows the emission type periods for which Maryland provided emissions. Table B5 in Appendix B identifies the data sources by SCC, emission type period, and pollutant in the 

Version 3 area source inventory. This table also shows the number of counties by SCC. 

Table III-10. Maryland 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period Start Date End Date 

Emission 

Type 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 MONTHLY 20020101 20020131 30 

SEASONAL 20020401 20020930 30 MONTHLY 20020201 20020228 30 

SEASONAL 20020401 20021031 30 MONTHLY 20020301 20020331 30 

SEASONAL 20020601 20020831 30 MONTHLY 20020401 20020430 30 

DAILY 20011201 20020228 27 MONTHLY 20020501 20020531 30 

DAILY 20020101 20021231 29 MONTHLY 20020601 20020630 30 

DAILY 20020401 20020930 29 MONTHLY 20020701 20020731 30 

DAILY 20020401 20021031 29 MONTHLY 20020801 20020831 30 

DAILY 20020601 20020831 27 MONTHLY 20020901 20020930 30 

DAILY 20020601 20020831 29 MONTHLY 20021001 20021031 30 

 MONTHLY 20021101 20021130 30 

 MONTHLY 20021201 20021231 30 

Maryland provided 2002 annual, seasonal, and daily emissions for the majority of the area source 

categories in Version 3 and used 2002 data that EPA prepared for the draft 2002 NEI for 

industrial adhesives and commercial cooking. Maryland prepared its own inventory for PFCs. 

Maryland elected to use data from MANE-VU-sponsored inventories for the following source 

categories: 

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62

 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL, and SO2

emissions for open burning categories; and 

• Annual and monthly NH3 emissions for agricultural crop fertilizers. 

For Version 2, Maryland provided revisions to annual, seasonal, and daily VOC emissions for 

SCC 2505030120 (Storage and Transport : Petroleum and Petroleum Product Transport : Truck : 

Gasoline). Maryland also removed PM10-FIL and PM25-FIL annual, seasonal, and daily 

records for open burning of land clearing debris (SCC 2610000500). Maryland had revised the 

PM10-PRI and PM25-PRI emissions in an earlier version of the MANE-VU inventory but not 

the PM10-FIL and PM25-FIL. As a result of revising the primary emissions, the filterable 

emissions were no longer met the consistency check as compared to the primary emissions. 

QA of PM emissions in Version 3 identified one record for Maryland in county 510 for SCC 

2801000003 (Agriculture - Crops : Tilling) where PM10-PRI annual emissions are 2317.2 tons 

and PM25-PRI annual emissions are 0 tons. For the other counties in Maryland with this SCC, 

PM25-PRI emissions are about 20% of the PM10-PRI emissions. This issue was not addressed 

due to time and resource constraints for completing revisions to Version 3. 

6. Massachusetts 

Table III-11 shows the emission type periods for which Massachusetts provided emissions. 

Table III-11. Massachusetts 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

Table B-6 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

Massachusetts provided 2002 annual and daily emissions for the majority of the area source 

categories in Version 3 and used 2002 data that EPA prepared for the draft 2002 NEI for 

residential coal combustion, asphalt roofing, and agricultural livestock (NH3). 

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Massachusetts elected to use data from MANE-VU-sponsored inventories for the following 

source categories: 

 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily VOC emissions for industrial adhesives and PFCs; 

• Annual and daily NH3 emissions for industrial refrigeration processes; 

• Annual and daily VOC and NH3 emissions for composting; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL, and SO2

emissions for open burning categories. 

For Version 2, Massachusetts revised annual and summer day VOC emissions for 14 counties for 

the following categories: aircraft refueling, surface coating, degreasing, miscellaneous nonindustrial: consumer and commercial products and pesticides, and gasoline service stations (stage 

1: balanced submerged fill). Massachusetts also revised annual and daily emissions for 14 

counties for forest wildfires, revised annual emissions for four counties for residential open 

burning of brush using the correct rule penetration factors for the counties, and revised control 

efficiency and control device data for selected categories in the CE table. 

For Version 3, Massachusetts revised annual and summer day VOC emissions for 14 counties for 

auto refinishing. In the CE table, Massachusetts changed control device code 102 (low-solvent 

coatings) to 000 (uncontrolled) and associated control efficiency values were set to null for all 

counties. Massachusetts also added annual and summer day VOC emissions for 14 counties for 

gasoline service stations (stage 2: displacement loss/controlled). 

For PFCs, Massachusetts elected to use the per capita emission factor but provided revisions to 

the population data, used 2002 owner occupied units to allocate the emissions to counties, and 

then allocated emissions between the commercial (16%) and residential (84%) sectors. 

Massachusetts’ calculations are provided in the spreadsheet named "Version 3 Revisions" in the 

Excel file named MA_AR_QA_Report_030806.xls". 

7. New Hampshire 

Table III-12 shows the emission type periods for which New Hampshire provided emissions. 

Table B-7 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

New Hampshire provided 2002 emissions for many of the area source categories in Version 3. 

New Hampshire’s inventory for industrial adhesives originates from the 1999 NEI. 

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Table III-12. New Hampshire 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

MONTHLY 20020101 20020131 30 

MONTHLY 20020201 20020228 30 

MONTHLY 20020301 20020331 30 

MONTHLY 20020401 20020430 30 

MONTHLY 20020501 20020531 30 

MONTHLY 20020601 20020630 30 

MONTHLY 20020701 20020731 30 

MONTHLY 20020801 20020831 30 

MONTHLY 20020901 20020930 30 

MONTHLY 20021001 20021031 30 

MONTHLY 20021101 20021130 30 

MONTHLY 20021201 20021231 30 

New Hampshire elected to use data from MANE-VU-sponsored inventories for the following 

source categories: 

 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily VOC emissions for PFCs; 

• Annual and daily NH3 emissions for industrial refrigeration processes and POTWs; 

• Annual and daily VOC and NH3 emissions for composting; 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for open burning 

categories; and 

• Annual and monthly NH3 emissions for agricultural crop fertilizers and livestock. 

Emissions for the remaining area source categories were taken from the draft 2002 NEI; these 

emissions are either based on 2002 data prepared by EPA or EPA data carried forward from final 

Version 3 of the 1999 NEI. 

New Hampshire provided revisions to Version 2 that were kept in Version 3. For Version 2, 

New Hampshire revised annual and daily VOC emissions for the gasoline storage and transport 

sector to reflect revisions it made to the 2002 inventory that EPA prepared for the 2002 NEI. 

The categories revised include bulk plant breathing losses, gasoline service stations (stages 1 and 

2 total and underground tank breathing and emptying losses), and gasoline tank trucks. 

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8. New Jersey 

Table III-13 shows the emission type periods for which New Jersey provided emissions. 

Table III-13. New Jersey 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period Start Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20011201 20020228 29 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

Table B-8 in Appendix B identifies the data sources by SCC, emission type period, and pollutant 

in the Version 3 area source inventory. This table also shows the number of counties by SCC. 

New Jersey provided 2002 emissions for the majority of the area source categories. New Jersey 

provided its own 2002 inventory for industrial adhesives and PFCs. Emissions for the remaining 

area source categories were taken from the draft 2002 NEI (that are either based on 2002 data 

prepared by EPA or EPA data carried forward from final Version 3 of the 1999 NEI) or MANEVU-sponsored inventories. New Jersey elected to use MANE-VU-sponsored inventories for the 

following source categories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

indoor and outdoor residential wood combustion (replacing New Jersey’s indoor 

residential wood combustion inventory provided in Versions 1 and 2); 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved roads; 

• Annual and daily NH3 emissions for industrial refrigeration processes and POTWs; and 

• Annual and daily VOC and NH3 emissions for composting. 

For Version 3, New Jersey added annual and summer day VOC emissions for 21 counties for 

SCC 2501060100 (gasoline service stations : stage 2: total). The emissions are summarized in 

the spreadsheet named "Version 3 Revisions" in the Excel file named "NJ_AR_QA_Report_ 

030806.xls". New Jersey provided 2002 emissions data for the industrial adhesives and PFC 

categories in Version 1. For Version 2, New Jersey corrected PM25-PRI emissions that were 

greater than PM10-PRI emissions for SCC 2601000000 (on-site incineration : all categories : 

total). 

9. New York 

Table III-14 shows the emission type periods for which New York provided emissions. Table B9 in Appendix B identifies the data sources by SCC, emission type period, and pollutant in the 

Version 3 area source inventory. This table also shows the number of counties by SCC. Note 

that some SCC and emission type period combinations are listed more than once because the 

data source codes are different for more than one SCC and emission type period combination or 

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66

because emissions are not reported for all pollutants for the same SCC and emission type period 

combination. 

Table III-14. New York 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

MONTHLY 20020101 20020131 30 

MONTHLY 20020201 20020228 30 

MONTHLY 20020301 20020331 30 

MONTHLY 20020401 20020430 30 

MONTHLY 20020501 20020531 30 

MONTHLY 20020601 20020630 30 

MONTHLY 20020701 20020731 30 

MONTHLY 20020801 20020831 30 

MONTHLY 20020901 20020930 30 

MONTHLY 20021001 20021031 30 

MONTHLY 20021101 20021130 30 

MONTHLY 20021201 20021231 30 

New York provided revisions to annual emissions for all 62 counties for the categories and 

pollutants shown in Table III-15. This revision completely replaced the 2002 emissions that 

New York provided in Version 2. Table III-15 also identifies categories and pollutants for which 

emissions were added to Version 3 (i.e., not in Version 2). The emissions are summarized in the 

spreadsheet named "Version 3 Revisions" in the Excel file named 

NY_AR_QA_Report_030806.xls". 

New York’s inventory in Version 2 included emissions for both residential indoor and outdoor 

wood burning. For Version 3, New York provided revisions that lowered its overall emissions 

relative to Version 2 and broke out its inventory to show emissions for fireplaces, woodstoves, 

and outdoor equipment separately. New York also added NH3 emissions to its inventory for 

Version 3. New York’s inventory for industrial adhesives originates from the 1999 NEI. New 

York provided its own 2002 inventory for PFCs. Emissions for the remaining area source 

categories were taken from the draft 2002 NEI (that are either based on 2002 data prepared by 

EPA or EPA data carried forward from final Version 3 of the 1999 NEI) or MANE-VUsponsored inventories. 

New York elected to use MANE-VU-sponsored inventories for the following source categories: 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily NH3 emissions for agricultural livestock; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for open burning 

categories. 

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A QA issue that may affect the use of the MANE-VU inventory for air quality modeling and 

revisions to the projection year inventory is the addition of SCCs 2103004001 and 2103004002 

by New York that are not in EPA’s master SCC list used by the EPA QA program. These SCCs 

are defined in Table III-15. In addition, the QA program shows SCCs for PFCs and outdoor 

wood burning as invalid because EPA has not updated the master list to include these SCCs for 

the EPA QA program. These SCCs were included in Version 2 and should have been assigned 

speaciation profiles and included in the projection year inventory prepared from Version 2. 

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Table III-15. Summary of New York's Revisions to Version 3 of MANE-VU's Area Source 

SCC SCC Description Pollutant Type of ReRevisions to Waste Disposal, Treatment, and Recovery : Wastewater Treatment 

2630020000 Public Owned : Total Processed VOC Revised em

Revisions to Stationary Source Fuel Combustion : Residential : Wood 

2104008001 Fireplaces: General VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added NH3

of pollutants 

2104008052 Non-catalytic Woodstoves: Low Emitting VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis2104008070 Outdoor Wood Burning Equipment VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis

Revisions to Stationary Source Fuel Combustion : Electric Utility 

2101001000 Anthracite Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI No change 2101002000 Bituminous/Subbituminous Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2101004000 Distillate Oil : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2101005000 Residual Oil : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2101006000 Natural Gas : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em

Revisions to Stationary Source Fuel Combustion : Industrial 

2102001000 Anthracite Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI No change 2102002000 Bituminous/Subbituminous Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2102004000 Distillate Oil : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2102005000 Residual Oil : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2102006000 Natural Gas : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2102007000 Liquified Petroleum Gas (LPG) : Total: All Boiler Types VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Revised em2102008000 Wood : Total: All Boiler Types VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI No change 2102011000 Kerosene : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis

Revisions to Stationary Source Fuel Combustion : Commercial/Institutional 

2103001000 Anthracite Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI No change 2103002000 Bituminous/Subbituminous Coal : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2103005000 Residual Oil : Total: All Boiler Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2103004000 Residual Oil : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Removed a

SCCs 2103

2103004001 Distillate Oil : Boilers VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis2103004002 Distillate Oil : IC Engines VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Added emis2103006000 Natural Gas : Total: Boilers and IC Engines VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2103007000 Liquified Petroleum Gas (LPG) : Total: All Combustor Types VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Revised em2103008000 Wood : Total: All Boiler Types VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Revised em2103011000 Kerosene : Total: All Combustor Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis

Appen
69

Table III-15. Summary of New York's Revisions to Version 3 of MANE-VU's Area Source Inven

SCC SCC Description Pollutant Type of ReRevisions to Stationary Source Fuel Combustion : Residential 

2104001000 Anthracite Coal : Total: All Combustor Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI No change 2104002000 Bituminous/Subbituminous Coal : Total: All Combustor Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2104004000 Distillate Oil : Total: All Combustor Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Revised em2104006010 Natural Gas : Residential Furnaces VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Revised em2104007000 Liquified Petroleum Gas (LPG) : Total: All Combustor Types VOC, NOX, CO, SO2, PM10-PRI, PM25-PRI Revised em2104011000 Kerosene : Total: All Heater Types VOC, NOX, CO, NH3, SO2, PM10-PRI, PM25-PRI Added emis

Appen
70

10. Pennsylvania 

Table III-16 shows the emission type periods for which Pennsylvania provided emissions. 

Table III-16. Pennsylvania 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 MONTHLY 20020101 20020131 30 

DAILY 20011201 20020228 27 MONTHLY 20020201 20020228 30 

DAILY 20020601 20020831 27 MONTHLY 20020301 20020331 30 

 MONTHLY 20020401 20020430 30 

 MONTHLY 20020501 20020531 30 

 MONTHLY 20020601 20020630 30 

 MONTHLY 20020701 20020731 30 

 MONTHLY 20020801 20020831 30 

 MONTHLY 20020901 20020930 30 

 MONTHLY 20021001 20021031 30 

 MONTHLY 20021101 20021130 30 

 MONTHLY 20021201 20021231 30 

Table B-10 in Appendix B identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 area source inventory. This table also shows the number of counties 

by SCC. Note that some SCC and emission type period combinations are listed more than once 

because the data source codes are different for more than one SCC and emission type period 

combination. Pennsylvania provided 2002 emissions for the majority of the area source 

categories. Pennsylvania provided its own 2002 inventory for PFCs and residential indoor wood 

burning. Pennsylvania’s inventory for industrial adhesives originates from the 1999 NEI. 

Emissions for the remaining area source categories were taken from the draft 2002 NEI (that are 

either based on 2002 data prepared by EPA or EPA data carried forward from final Version 3 of 

the 1999 NEI) or MANE-VU-sponsored inventories. 

Pennsylvania elected to use MANE-VU-sponsored inventories for the following source 

categories: 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily NH3 emissions for industrial refrigeration processes and agricultural crop 

fertilizers and livestock; 

• Annual and daily VOC and NH3 emissions for POTWs and composting; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for open burning 

categories. 

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11. Rhode Island 

Table III-17 shows the emission type periods for which Rhode Island provided emissions. 

Table III-17. Rhode Island 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

Table B-11 in Appendix B identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 area source inventory. This table also shows the number of counties 

by SCC. Rhode Island provided 2002 annual VOC emissions for several solvent utilization 

categories (surface coating, degreasing, graphic arts, rubber/plastics, and industrial adhesive); 

annual and daily VOC emissions for petroleum and petroleum product storage (gasoline service 

stations and all transport types); and annual VOC emissions for POTWs. Rhode Island’s indoor 

wood burning inventory originates from the draft 2002 NEI. Emissions for the remaining area 

source categories were taken from the draft 2002 NEI (that are either based on 2002 data 

prepared by EPA or EPA data carried forward from final Version 3 of the 1999 NEI) or 

MANE-VU-sponsored inventories. 

Rhode Island elected to use MANE-VU-sponsored inventories for the following source 

categories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; and 

• Annual and daily VOC emissions for PFCs. 

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12. Vermont 

Table III-18 shows the emission type periods for which Vermont provided emissions. 

Table III-18. Vermont 2002 Area, Version 3: 

Unique List of Start Date, End Date, and Emission Types 

Emission 

Type 

Period 

Start 

Date End Date 

Emission 

Type 

ANNUAL 20020101 20021231 30 

DAILY 20011201 20020228 27 

DAILY 20020601 20020831 27 

DAILY 20020601 20020831 29 

Table B-12 in Appendix B identifies the data sources by SCC, emission type period, and 

pollutant in the Version 3 area source inventory. This table also shows the number of counties 

by SCC. Vermont provided 2002 annual VOC, NOx, CO, PM10-PRI or PM10-FIL, PM25-PRI 

or PM25-FIL, and SO2 emissions for residential fuel combustion (distillate oil, natural gas, LPG, 

and indoor wood burning); annual VOC emissions for gasoline service stations and breathing 

losses at bulk terminals; annual VOC, NOx, CO, PM10-PRI, PM25-PRI, and SO2 emissions for 

residential open burning; annual VOC, NOx, CO, NH3, PM10-PRI, and PM25-PRI emissions for 

forest fires, and annual VOC, NOx, CO, PM10-PRI, and PM25-PRI emissions for structure fires. 

Vermont’s inventory for industrial adhesives originates from the 1999 NEI. 

For Version 2, Vermont provided revisions to EPA’s draft 2002 inventory for SCC 2501050120 

(bulk stations and terminals : breathing loss : gasoline) to incorporate the effects of vapor 

balance controls not accounted for in the EPA estimates. The revised inventory for this category 

was added to Version 2 (and kept in Version 3) that did not include this category. Control 

records were added to the NIF 3.0 CE table for the counties with vapor balance controls. In 

addition, Vermont provided emissions for three counties (i.e., county FIPS codes 50015, 50017, 

and 50019) that were not in EPA's inventory. Emissions for the remaining area source categories 

were taken from the draft 2002 NEI (that are either based on 2002 data prepared by EPA or EPA 

data carried forward from final Version 3 of the 1999 NEI) or MANE-VU-sponsored inventories. 

Vermont elected to use MANE-VU-sponsored inventories for the following source categories: 

• Annual and daily VOC, NOx, CO, NH3, PM10-PRI, PM25-PRI, and SO2 emissions for 

outdoor wood burning; 

• Annual PM10-PRI, PM10-FIL, PM25-PRI, and PM25-FIL emissions for paved and 

unpaved roads; 

• Annual and daily NH3 emissions for industrial refrigeration processes and POTWs; 

• Annual and daily VOC emissions for PFCs; 

• Annual and daily VOC and NH3 emissions for composting; and 

• Annual VOC, NOx, CO, NH3, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL, and SO2

emissions for open burning categories. 

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C. What Issues Need to be Addressed in Future Versions? 

This section provides a summary of potential revisions to incorporate into future versions of the 

MANE-VU area source inventory. 

All States – A coordinated effort between the State agencies should be developed to apply 

consistent methods to avoid having to apply procedures to augment inventory data to correct for 

the QA issues and fill in missing data as discussed previously in this chapter. For example, this 

will ensure that consistent methods are applied across State agencies to ensure consistent and 

accurate reporting of source categories using the same SCCs across States, PM emissions, and 

minimize other QA issues that were identified during the development of Versions 1, 2, and 3 of 

the inventory. 

For PM emissions, the State agencies should develop and apply a consistent method for 

including condensible emissions for fuel combustion sources that can be applied when the 

agencies develop their inventories. This may include compiling the emission factors for all 

forms of PM into one database, organized by SCC and control type (for filterable emissions), and 

sharing the database among the MANE-VU State agencies. Use of a consistent set of emission 

factors will help to avoid the PM consistency issues identified in Versions 1, 2, and 3 of the 

MANE-VU inventory as well as ensure that condensible emissions are included in the primary 

emissions reported in the inventory. 

State-specific suggestions are as follows: 

Delaware: Revise the residential wood combustion emissions inventory with the latest revisions 

sponsored by MARAMA. 

Rhode Island: This State felt that the area sources (from the nonpoint inventory EPA prepared) 

which they had changed to zeros in Version 3 would revert back to the Version 2 numbers which 

were from the EPA report. Rhode Island would like to see this change in the next version of the 

inventory. (Table with changes can be received upon request). 

New Jersey: 

• Why is the EPA VOC emission factor for fireplaces completely out of proportion with the 

other emission factors? The ratio of conventional wood stoves/fireplaces = 0% to 10% 

for other pollutants and is 77% for VOC. It is discussed in the Pechan Technical Memo 

#5, 9/3/03, page 19, how a study of the accuracy of the emission factors showed the VOC 

should be more like 10 to 30 lb/ton, instead of 229 lb/ton and the woodstove emission 

factors (certified) should be higher than Emission Inventory Improvement Program 

guidance. 

• The summer seasonal adjustment factors for indoor wood burning used in the model 

appear high. This combined with the very high VOC emission factor results in high 

ozone season wood burning emissions. 

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• In general, the accuracy of the very large residential wood burning numbers, all pollutants. 

• The large fugitive dust inventory numbers don not correlate to dust found in monitors, 

even with the latest 30% to 40% reduction in paved and unpaved road emissions. 

• We need consistent guidance from the EPA for adhesives and sealants, PFC, and 

commercial cooking. 

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CHAPTER IV – NONROAD SOURCES 

A. General Methods for all States 

This section provides an overview of the data sources and QA steps used in preparing the 2002 

nonroad sector inventory for the MANE-VU States. The nonroad sector is comprised of nonroad 

engines included in EPA’s NONROAD model, as well as other engines not modeled in 

NONROAD, including aircraft, commercial marine vessels and locomotives. 

1. What Data Sources Were Used? 

Data sources used for the various nonroad categories are described below. 

a. Aircraft, Commercial Marine, and Locomotive Categories 

As a starting point, aircraft, commercial marine vessel and locomotive inventories were prepared 

using the inventories that State agencies submitted to the EPA in June 2004 as a requirement of 

the CERR. In addition, some States provided data directly to MANE-VU for use in this 

inventory that were not submitted for the CERR. 

Missing data were supplemented with estimates from EPA’s preliminary 2002 NEI. For the 

aircraft and commercial marine vessel source categories, the 2002 NEI CAP emissions were 

estimated by carrying over the 2001 estimates. 2001 emissions were estimated using the 

methodologies described in EPA’s Documentation for Aircraft, Commercial Marine Vessel, 

Locomotive, and Other Nonroad Components of the National Emissions Inventory (EPA, 2003b). 

The 2002 locomotive emissions were calculated using 2002 activity data and the methodologies 

described in the EPA, 2003b documentation. 

Table IV-1 provides a summary of the aircraft, commercial marine, and locomotive emission 

SCCs reported in the MANE-VU inventory. Table IV-2 provides a summary of the basis for 

these nonroad subsector emissions by State. 

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Table IV-1. List of Unique Aircraft, Commercial Marine, and Locomotive SCCs Reported by Stat

SCC SCC Description 1 SCC Description 2 SCC Description 3 SCC Description 4 2275000000 Mobile Sources Aircraft All Aircraft Types and Operations Total 2275001000 Mobile Sources Aircraft Military Aircraft Total 2275020000 Mobile Sources Aircraft Commercial Aircraft Total: All Types 2275050000 Mobile Sources Aircraft General Aviation Total 2275060000 Mobile Sources Aircraft Air Taxi Total 2275070000 Mobile Sources Aircraft Aircraft Auxiliary Power Units Total 2280000000 Mobile Sources Marine Vessels, Commercial All Fuels Total, All Vessel Types 2280002000 Mobile Sources Marine Vessels, Commercial Diesel Total, All Vessel Types 2280002010 Mobile Sources Marine Vessels, Commercial Diesel Ocean-going Vessels 2280002020 Mobile Sources Marine Vessels, Commercial Diesel Harbor Vessels 2280002100 Mobile Sources Marine Vessels, Commercial Diesel Port emissions 2280002200 Mobile Sources Marine Vessels, Commercial Diesel Underway emissions 2280003100 Mobile Sources Marine Vessels, Commercial Residual Port emissions 2280003200 Mobile Sources Marine Vessels, Commercial Residual Underway emissions 2285000000 Mobile Sources Railroad Equipment All Fuels Total 2285002000 Mobile Sources Railroad Equipment Diesel Total 2285002005 Mobile Sources Railroad Equipment Diesel Total Line Haul Locomoti2285002006 Mobile Sources Railroad Equipment Diesel Line Haul Locomotives: C2285002007 Mobile Sources Railroad Equipment Diesel Line Haul Locomotives: C2285002008 Mobile Sources Railroad Equipment Diesel Line Haul Locomotives: P2285002009 Mobile Sources Railroad Equipment Diesel Line Haul Locomotives: C2285002010 Mobile Sources Railroad Equipment Diesel Yard Locomotives 

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Table IV-2. Summary of Basis for 2002 MANE-VU Aircraft, Commercial Marine, and Locomo

 Basis for Subsector of Nonroad Inventory 

FIPSST State Aircraft Commercial Marine Vessels L

09 Connecticut 2002 Preliminary NEI 2002 Preliminary NEI State supplied 10 Delaware June 2004 CERR Submittal; State 

supplied revisions in Sep 2004 

June 2004 CERR Submittal June 2004 CE

11 District of Columbia Not supplied by State and not available 

from NEI 

2002 Preliminary NEI June 2004 CE

23 Maine State supplied in Oct 2004 State supplied in Oct 2004 State supplied 24 Maryland June 2004 CERR Submittal; State 

supplied revisions in Sep 2004 

June 2004 CERR Submittal; State supplied revisions in Oct 2004 

June 2004 CE

25 Massachusetts June 2004 CERR Submittal State-supplied for June 2004 CERR 

Submittal, with revisions as directed by State 

June 2004 CE

33 New Hampshire June 2004 CERR Submittal 2002 Preliminary NEI June 2004 CE34 New Jersey June 2004 CERR Submittal June 2004 CERR Submittal June 2004 CE36 New York 2002 Preliminary NEI State supplied in Oct 2004 2002 Prelimina42 Pennsylvania State supplied to Pechan in June 2004 State supplied to Pechan in June 2004 State supplied 

State supplied 

44 Rhode Island State-supplied for June 2004 CERR 

Submittal, with revisions as directed by State 

State-supplied for June 2004 CERR Submittal, with revisions as directed by State 

State-supplied 

50 Vermont 2002 Preliminary NEI Not supplied by State and not available 

from NEI 

Not supplied bfrom NEI 

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b. NONROAD Model Categories 

NONROAD model categories include equipment such as recreational marine and land-based 

vehicles, farm and construction machinery, and lawn and garden equipment. Aircraft ground 

support equipment (GSE) and rail maintenance equipment are also included in NONROAD. 

These equipment are powered by diesel, gasoline, compressed natural gas (CNG) and LPG 

engines. 

EPA released a final version of NONROAD during December 2005 called NONROAD2005 

(EPA, 2005a). To reflect the updates made to EPA’s final NONROAD model, all MANE-VU 

Version 2 NONROAD model estimates were replaced with updated NONROAD2005 emission 

estimates. 

EPA also released an updated version of its NMIM, which incorporates the final 

NONROAD2005 model. EPA’s NMIM2005 is a consolidated modeling system that 

incorporates the NONROAD and MOBILE models, along with a county database of inputs 

(EPA, 2005b). The NMIM county database contains monthly input data to reflect countyspecific fuel parameters and temperatures. Because incorporating revised monthly inputs for use 

in NMIM2005 is more efficient than preparing county-specific monthly option files needed to 

run NONROAD2005 independently, Pechan used NMIM2005 for most MANE-VU States. The 

two exceptions were for the District of Columbia and Maine due to the differences in oxygenated 

fuel inputs used for NMIM versus NONROAD. 

As a first step, Pechan compiled fuel input data available from NMIM2005 by county and by 

month for all MANE-VU states for 2002. Pechan developed a spreadsheet that summarized the 

gasoline RVP, gasoline weight percent oxygen, and gasoline and diesel sulfur content proposed 

as inputs to the updated runs. Values consistent with State-supplied MOBILE6 inputs used for 

the development of 2002 MANE-VU highway vehicle inventories were presented for use where 

they differed from NMIM. Pechan requested that States confirm the use of these data for the 

NONROAD model runs, or provide alternative inputs. 

The final county, monthly NMIM inputs provided or confirmed by the States for RVP, weight 

percent oxygen, and gasoline sulfur are presented in Appendix C, Table C-1. Pechan used 

NMIM’s 2002 default value for nonroad diesel sulfur content. This value is 2,457 parts per 

million (ppm) for land-based equipment, and 2,767 ppm for recreational marine, for all 

MANE-VU counties. 

Pechan also requested that States provide any local activity data in the format of updated 

NONROAD external data files. These include data files which specify activity parameters such 

as equipment populations, equipment annual hours of use, county allocation factors, and monthly 

allocation profiles. 

Pechan updated the NMIM county database for 2002 to add in new gasoline profiles to reflect 

the monthly and county fuel input values provided by States. Pechan also updated the NMIM 

county database to cross reference the State-supplied NONROAD data files that replaced default 

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NONROAD2005 inputs. Pechan then ran NMIM/NONROAD2005 at the county and monthly 

level for 2002 and generated the results in NIF 3.0. 

c. NONROAD2005 Model Runs 

The majority of the model runs were performed using NMIM2005. NMIM and NONROAD 

have differences in the required format of the oxygenated fuel inputs. For NONROAD, this 

variable is required to be expressed as a composite weight percent oxygen that accounts for the 

market share and the percent oxygen of all contributing oxygenates. Since NMIM models HAP 

emissions, the volume percent and market share of each of four oxygenates must be entered as 

fuel inputs. These oxygenates include methyl tertiary butyl ether (MTBE), ethyl tertiary butyl 

ether (ETBE), ethanol (ETOH), and tertiary amyl methyl ether (TAME). In cases where only 

one known oxygenate is present, this is straightforward to reflect in NMIM, as weight percent 

can be easily converted to volume percent. However, two States (the District of Columbia and 

Maine) provided a composite weight percent value for more than one oxygenate, but could not 

provide the corresponding volume percent and market share for each oxygenate to use in NMIM. 

As such, Pechan used NONROAD2005 for both the District of Columbia and Maine so that their 

submitted values for weight percent oxygen could be used directly. The 2002 minimum, 

maximum, and average hourly temperatures included in NMIM2005 were used to calculate 

average monthly temperature inputs to NONROAD for both States. 

Pechan developed monthly NONROAD option files and ran these files through NONROAD2005 

to generate monthly emissions that were then summed to develop an annual 2002 inventory. 

Pechan performed additional calculations using NMIM emission factors and fuel consumption to 

calculate NH3, since NONROAD does not calculate NH3 emissions. 

2. What Quality Assurance Steps Were Performed? 

The final MANE-VU nonroad inventory was comprised of emission estimates that were either: 

1) submitted by States for the June 2004 CERR submittal or as additional revisions after this 

date; 2) developed using NONROAD model inputs provided or approved by States; or 

3) reported by EPA in the preliminary 2002 NEI. As such, the QA steps were tailored to each of 

these types of submittals. Note that a Quality Assurance Plan was prepared prior to initiating 

work on Version 1 (MANE-VU, 2003). This plan was applied during development of all three 

versions of the MANE-VU inventory. 

a. Summary of QA checks for State emission submittals 

Nonroad emission submittals were accepted as part of the June 2004 CERR submittals to EPA or 

as direct submittals to MANE-VU. Upon receipt of an emissions submittal, Pechan prepared 

spreadsheets providing a unique list of errors identified by running the EPA NIF 3.0 QA 

software tool on the nonroad source inventory (EPA, 2004a). Notes were provided to identify 

the NIF 3.0 tables in which the errors appeared, as well as clarification as to where an error 

occurred (e.g., for what SCC and pollutant). For many of the errors, Pechan provided a potential 

correction, and States indicated whether they agreed with the correction, or provided their own 

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instructions for correcting the error. These spreadsheets served to document each state's 

direction on how to correct errors and the state's representative authorizing the correction. 

The list of general QA checks include the following: 

• Duplicate records (i.e., only one record allowed for each unique county/SCC/ pollutant) 

• Invalid record type 

• Mandatory field is not populated 

• Invalid field length 

• Invalid data type (e.g., invalid SCCs or pollutants) 

• “Out-of-range” emission values 

• Referential integrity (i.e., the presence of widow or orphan records in the NIF 3.0 relational 

tables) 

 

Note that EPA’s NIF 3.0 QA software tool also checks for other specific QA issues by field not 

listed above. See EPA’s User Guide, Appendix A for a listing of all potential errors that are 

checked by the program, and EPA’s guidance for how they should be resolved. 

Pechan also performed other general QA procedures outside of EPA’s NIF 3.0 QA software tool, 

including pollutant augmentation, SCC reconciliation, and completeness and reasonableness 

checks. 

Pechan performed pollutant augmentation in cases where the complete set of CAPs and NH3 

were not provided by a State. For example, several States did not provide PM25-PRI, but did 

provide PM10-PRI, so that PM25-PRI was estimated using EPA-published particle-size 

multipliers. Where multipliers were not available from EPA documentation, Pechan used 

available pollutant emission estimates reported by all other MANE-VU States to develop 

“emission ratios” for a given SCC. These “emission ratios” were then used to multiply available 

pollutant estimates to estimate values for the missing pollutants. Specific values used for a given 

State and SCC are cited in the “State-Specific Methods” section below. 

In addition, SCC assignments were reviewed and reassigned after clarification from States as to 

what the specific SCC estimate represented. For example, a State may have reported all aircraft 

activity under one of the specific aircraft type SCCs (e.g., commercial or general aviation), when 

it should more accurately be reported under the general SCC 2275000000 (All Aircraft Types 

and Operations). 

Finally, completeness checks were performed on the inventory to determine that emissions for 

nonroad categories known to operate in a State or county were being reported. Note that 

emissions may not be reported for all NONROAD SCCs for all counties in the MANE-VU RPO, 

and will depend on the geographic allocation methods used by the model, or specific allocation 

data provided by a State. 

NONROAD model category estimates originally provided by States for the June 2004 submittal 

were replaced by emission estimates developed using NMIM/NONROAD 2005. As such, this 

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TSD will not document corrections made by Pechan to these original NONROAD model 

estimates, since they were replaced for Version 3. 

b. Data input summary spreadsheets for State review 

As mentioned above for NONROAD model categories, Pechan prepared the MANE-VU 

emission estimates using EPA’s final NMIM/NONROAD2005 model. An important QA step in 

running NONROAD is to ensure that the inputs used for fuel specifications and temperatures for 

a given county and month in 2002 are representative. As such, Pechan compiled the RVP, 

percent oxygen, and gasoline sulfur inputs reported by NMIM2005 by county and month for 

States to review. If a State had previously submitted input data for the MANE-VU onroad 

inventory, these data were proposed in lieu of NMIM data. States either confirmed use of the 

default NMIM/onroad MANE-VU inputs, or provided alternate data in the specified format to 

replace the proposed inputs. Pechan updated the gasoline table in the NMIM county database to 

add in new gasoline profiles to reflect revised fuel input values provided by States. These 

profiles were then cross-referenced to the appropriate county and month in a separate table called 

countyyearmonth. Pechan performed QA checks of these NMIM county database tables for each 

State to ensure that the correct fuel data were input by county and by month as requested by the 

State. 

c. QA of final mass emissions 

After performing QA of the inputs, Pechan ran NMIM/NONROAD2005 at the county and 

monthly level for 2002 and generated the results in NIF 3.0. As a QA step, Pechan ran EPA’s 

NIF 3.0 QA software tool on the NIF 3.0 files. Errors identified were resolved and checked to 

ensure they were corrected in the final files. 

As part of final processing of the inventories, and to assist in tracking revisions and preparing 

emission summaries, Pechan added the following NIF plus fields to each table: 

TblCE : State FIPS, County FIPS, Data Source, Revision Date 

TblEM : State FIPS, County FIPS, Data Source, Revision Date, CAP/HAP, Year, 

Emission Ton Value, Emission Type Period 

TblEP : State FIPS, County FIPS, Data Source, Revision Date 

TblPE : State FIPS, County FIPS, Data Source, Revision Date 

TblTR : State FIPS, County FIPS, Revision Date 

Data source codes are included to document the origin of the emissions data, which assists in 

tracking and quality-assuring revisions made to the emission estimates. Table IV-3 provides a 

listing of the data source codes included in the MANE-VU nonroad inventories, as well as a 

definition of each code. State FIPS and County FIPS are separated out to assist in developing 

area-specific emission summaries, and the Emission Ton Value places all emissions on the same 

basis. The Emission Type Period describes the temporal basis of the estimates (in this case, they 

are all annual). Finally, the Revision Date tracks when record-specific changes are made. 

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Table IV-3. Data Source Code Descriptions 

Data 

Source 

Code Description 

E-02-F E = EPA-generated data; -02 = year 2002; -F = emissions are carried forward for inclusion in 

the 2002 base year 

E-02-X E = EPA-generated data; -02 = year 2002; -F = emissions are not grown or carried forward 

P-02-X P = RPO-generated data; -02 = year 2002; -X = emissions are not grown or carried forward 

S-02-X S = State data; -02 = year 2002 data; -X = emissions are not grown or carried forward 

3. Version 3 Emission Summaries 

Table IV-4 presents a summary of the annual 2002 nonroad sector pollutant emissions for each 

MANE-VU State, as well as a regional total. These emissions include SCCs for all NONROAD 

model engines, as well as aircraft, commercial marine vessel, and locomotive categories, where 

applicable, for each State. Table IV-5 presents the emission results for NONROAD model 

equipment only, while Table IV-6 provides emission estimates for aircraft, commercial marine 

vessel, and locomotive categories separately. 

Table IV-4. Annual 2002 Nonroad Sector Emissions by MANE-VU State 

(Tons/Year) 

State CO NH3 NOx PM10-PRI PM25-PRI SO2 VOC 

Connecticut 276,773.0 16.6 25,460.2 1,952.1 1,793.9 2,087.4 33,880.2 

Delaware 68,782.0 5.2 16,226.5 1,021.4 925.6 3,983.3 8,010.1 

District of Columbia 18,844.7 2.4 3,571.3 310.2 298.7 375.4 2,072.5 

Maine 153,423.6 11.4 9,820.4 1,436.8 1,329.4 916.8 31,144.1 

Maryland 437,400.3 28.2 37,472.2 4,936.0 4,357.1 7,941.6 56,330.4 

Massachusetts 461,514.3 28.2 42,768.5 3,531.2 3,226.4 3,791.2 56,748.5 

New Hampshire 130,782.2 9.1 9,912.1 1,057.8 965.4 891.0 22,376.5 

New Jersey 704,396.4 43.0 63,479.0 5,495.1 4,997.2 15,686.0 83,918.9 

New York 1,233,968.3 79.3 109,878.3 9,605.3 8,820.9 12,919.7 157,611.7 

Pennsylvania 931,978.0 55.0 103,824.2 9,737.9 8,440.1 7,915.0 102,331.0 

Rhode Island 73,012.7 4.1 5,001.5 500.2 443.1 377.2 7,779.7 

Vermont 62,248.1 4.5 4,217.1 529.9 485.8 372.1 10,547.6 

Total MANE-VU 4,553,123.5 286.9 431,631.3 40,113.9 36,083.6 57,256.6 572,751.3 

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Table IV-5. Annual 2002 NONROAD2005 Model Emissions by MANE-VU State 

(Tons/Year) 

State CO NH3 NOx PM10-PRI PM25-PRI SO2 VOC 

Connecticut 274,387.6 16.6 17,897.0 1,712.9 1,577.6 1,376.6 33,519.0

Delaware 65,954.1 4.9 5,798.3 570.4 525.1 513.0 7,530.5

District of Columbia 18,774.9 2.4 3,066.4 298.4 287.8 341.3 2,052.9

Maine 148,555.3 11.4 8,228.9 1,204.2 1,135.1 771.8 30,741.0

Maryland 424,776.8 28.2 27,789.1 3,118.7 2,870.4 2,569.2 53,035.0

Massachusetts 448,398.7 28.2 30,046.7 2,887.2 2,658.8 2,428.1 54,835.8

New Hampshire 128,571.5 9.1 8,149.5 946.8 871.7 672.7 22,237.8

New Jersey 692,547.9 43.0 43,515.2 4,285.4 3,950.5 3,524.9 81,900.4

New York 1,219,308.7 79.3 78,648.3 8,338.9 7,677.1 6,966.3 155,475.1

Pennsylvania 903,167.7 55.0 62,265.2 6,281.5 5,784.3 5,292.4 99,240.9

Rhode Island 71,573.1 4.1 4,563.9 402.8 371.1 335.5 7,698.7

Vermont 61,732.1 4.5 4,169.9 517.6 476.6 367.6 10,520.4

Total MANE-VU 4,457,748.6 286.6 294,138.2 30,564.8 28,186.1 25,159.4 558,787.4

Table IV-6. Annual 2002 Aircraft, Commercial Marine, and 

Locomotive Emissions by MANE-VU State 

(Tons/Year) 

State CO NH3 NOx PM10-PRI PM25-PRI SO2 VOC 

Connecticut 2,385.4 0.0 7,563.2 239.2 216.4 710.8 361.2

Delaware 2,827.9 0.3 10,428.2 451.1 400.5 3,470.3 479.6

District of Columbia 69.7 0.0 505.0 11.8 10.9 34.1 19.7

Maine 4,868.3 0.0 1,591.5 232.6 194.3 145.0 403.1

Maryland 12,623.5 0.0 9,683.2 1,817.3 1,486.7 5,372.3 3,295.4

Massachusetts 13,115.6 0.0 12,721.7 644.0 567.6 1,363.1 1,912.7

New Hampshire 2,210.7 0.0 1,762.5 111.0 93.7 218.3 138.6

New Jersey 11,848.5 0.0 19,963.9 1,209.7 1,046.7 12,161.1 2,018.6

New York 14,659.6 0.0 31,230.0 1,266.4 1,143.8 5,953.4 2,136.6

Pennsylvania 28,810.2 0.0 41,559.0 3,456.4 2,655.8 2,622.7 3,090.2

Rhode Island 1,439.6 0.0 437.6 97.4 72.1 41.7 81.0

Vermont 516.0 0.0 47.3 12.2 9.2 4.5 27.2

Total MANE-VU 95,374.9 0.3 137,493.1 9,549.1 7,897.4 32,097.3 13,963.9

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B. State-Specific Methods 

The following sections describe the methods used and QA issues addressed for each MANE-VU 

State in developing Version 3.0 of MANE-VU’s nonroad sector inventory. 

1. Connecticut 

a. What Data Sources Were Used? 

Pechan ran EPA’s NMIM2005 to generate NONROAD model SCC emission estimates. Pechan 

incorporated Connecticut-supplied data for gasoline sulfur content and RVP into the NMIM 

database. Pechan used NMIM defaults for diesel sulfur content and for weight percent 

oxygenate values. The final input data by county and by month are summarized in Table B-1. 

Aircraft and commercial marine vessel emissions are based on the preliminary 2002 nonroad 

NEI. In March 2006, Connecticut provided county-level emission estimates for VOC, NOx, and 

CO for all line-haul and switchyard locomotive SCCs. 

b. What QA Issues were Identified and Addressed? 

For commercial aircraft (SCC 2275020000), PM10-PRI and PM25-PRI were not reported in the 

EPA’s NEI. For completeness, Pechan estimated PM10-PRI emissions by applying an average 

PM10-PRI/NOx emission ratio of 0.058 to available NOx emissions. Commercial aircraft PM25-

PRI emissions were estimated by multiplying PM10-PRI emissions by a particle size multiplier 

of 0.976 (ERG, 2004). 

c. What Issues Need to be Addressed in Future Versions? 

Because EPA’s NEI does not include locomotive category emission estimates for Connecticut, 

and since Connecticut only provided emission estimates for VOC, NOx, and CO, estimates are 

still missing for PM10-PRI, PM25-PRI, and SO2. 

2. Delaware 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. Delaware 

approved of the fuel inputs used in NMIM2005. The final fuel input data by county and by 

month are summarized in Table B-1. Delaware provided updated files listed in Table IV-7 to 

replace the default files used in NMIM. These included county allocation files for five nonroad 

categories, and a revised equipment population file with updated populations for specific SCCs. 

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Table IV-7. Delaware NONROAD External Data Files 

County NR File Name File Type 

10000air.alo County allocation for airport GSE 

10000gc.alo County allocation for golf carts 

10000hou.alo County allocation for lawn & garden 

10000log.alo County allocation for logging 

10000rvp.alo County allocation for land-based recreational 

10000.pop Equipment population 

Pechan used Delaware’s June 2004 CERR submittal as the basis for aircraft, locomotive and 

commercial marine vessel category estimates in the 2002 MANE-VU inventory. 

i. What Revisions Were Requested by State? 

In September 2004, Delaware provided corrections to the general aviation emissions (SCC 

227505000) for all pollutants for Kent County to add in general aviation activity at Dover Air 

Force Base. 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by 

Delaware. Commercial aircraft (SCC 2275020000) included emission estimates for all 

pollutants except PM25-PRI. Pechan calculated commercial aircraft PM25-PRI emissions using 

the assumption that 97.6% of PM10-PRI is PM25-PRI (ERG, 2004). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

3. District of Columbia 

a. What Data Sources Were Used? 

Pechan developed NONROAD Model SCC emissions for District of Columbia using 

NONROAD2005. NONROAD2005 was used directly instead of NMIM2005 to incorporate 

State-supplied weight percent oxygen data. The District of Columbia also requested changes to 

the default NMIM RVP and gasoline values for some months. The final fuel input data by 

county and by month are summarized in Table B-1. 

The 2002 minimum, maximum, and average hourly temperatures included in NMIM were used 

to calculate average monthly temperature inputs to NONROAD. Pechan developed monthly 

NONROAD2005 option files for the District of Columbia. Pechan ran the option files through 

NONROAD2005 to generate monthly emissions that were then summed to develop an annual 

2002 inventory. Pechan performed additional calculations using NMIM emission factors and 

NONROAD2005 fuel consumption to calculate NH3, since NONROAD does not calculate NH3

emissions. NMIM reports NH3 emission factors of 116 grams NH3 per gallon gasoline for 

gasoline engines, and 83 grams NH3 per gallon fuel for diesel engines. 

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The District of Columbia provided locomotive emissions for their nonroad sector June 2004 

CERR submittal. 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by the 

District of Columbia. PM emissions in the inventory were not identified as either PM10 or PM2.5, 

nor were the emissions identified as primary or filterable. The District of Columbia authorized 

Pechan to change PM to PM10-PRI. Locomotive PM25-PRI emissions were estimated using the 

assumption that 90 percent of PM10 is PM2.5 (EPA, 2003b). Hydrocarbon (HC) pollutant 

emissions were also removed from the inventory, as this is not a valid pollutant code in NIF3.0. 

Pechan added commercial marine vessel emissions from the preliminary 2002 Nonroad NEI. 

There are no aircraft emission estimates in the NEI for the District of Columbia, since there are 

not airports located in the District of Columbia. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

4. Maine 

a. What Data Sources Were Used? 

Pechan developed NONROAD model SCC emissions using NONROAD2005. For Maine, 

weight percent oxygen values were submitted based on actual fuel survey results by county and 

by month, but Maine had not tracked the corresponding oxygenate volume percent and market 

share. As such, Pechan used NONROAD2005 so that Maine’s values for weight percent oxygen 

could be reflected. Maine also provided revisions to the RVP and gasoline sulfur values reported 

in NMIM2005. Pechan developed NONROAD2005 monthly option files for two county groups 

in Maine that shared values for all three fuel inputs (see Appendix C, Table C-1). The 2002 

minimum, maximum, and average hourly temperatures included in NMIM were used to calculate 

average monthly temperature inputs to NONROAD. Pechan ran the option files through 

NONROAD2005 to generate monthly emissions that were then summed to develop an annual 

2002 inventory. Pechan performed additional calculations using NMIM emission factors and 

fuel consumption to calculate NH3, since NONROAD does not calculate NH3 emissions. NMIM 

reports NH3 emission factors of 116 grams NH3 per gallon gasoline for gasoline engines, and 83 

grams NH3 per gallon fuel for diesel engines. 

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i. What Revisions Were Requested by State? 

In October 2004, Maine provided aircraft, commercial marine vessel, and locomotive SCC 

emissions to be added to their inventory. Commercial marine emissions submitted by Maine 

only represented in-port emissions. Diesel and residual commercial marine underway emissions 

(SCCs 2280002200 and 2280003200) were based on EPA’s 2002 preliminary NEI. 

b. What QA Issues were Identified and Addressed? 

PM25-PRI estimates were missing from all aircraft SCC records provided by Maine. Pechan 

estimated general aviation, military aircraft, and air taxi PM25-PRI emissions by multiplying 

PM10-PRI emissions by a particle size multiplier of 0.69 (EPA, 2003b). Commercial aircraft 

PM25-PRI emissions were estimated by multiplying PM10-PRI emissions by a particle size 

multiplier of 0.976 (ERG, 2004). In-port commercial marine emissions (SCC 2280002100) were 

missing estimates for PM10-PRI and PM25-PRI. Pechan estimated PM10-PRI emissions by 

applying a PM10-PRI/NOx emission ratio of 0.042 to available NOx emissions. PM25-PRI 

emissions were estimated by multiplying PM10-PRI emissions by a particle size multiplier of 

0.92 (EPA, 2003b). 

c. What Issues Need to be Addressed in Future Versions? 

 

None identified by the State. 

5. Maryland 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to prepare NONROAD model SCC emission estimates. Maryland 

reviewed the default NMIM inputs and provided revisions to the input values for RVP and 

weight percent oxygen for all months. Maryland requested that a value of 2.1 percent oxygen be 

used for all counties and months. This weight percent value was then converted to a volume 

percent of 11.8 percent for use in NMIM, assuming MTBE was the only oxygenate. In addition, 

gasoline sulfur content revisions were incorporated into NMIM for select counties for the months 

of April through September. The final fuel input data by county and by month are summarized 

in Table B-1. 

Maryland also provided updated files listed in Table IV-8 to replace the default files used in 

NMIM. These included county allocation files for several nonroad categories. 

Table IV-8. Maryland NONROAD External Data Files 

County NR File Name File Type 

24000pop.alo County allocation for several nonroad 

categories (population) 

24000con.alo County allocation for construction 

24000hou.alo County allocation for lawn & garden 

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Pechan used Maryland’s nonroad sector CERR submittal as the basis for the MANE-VU 

inventory for the aircraft, locomotive and commercial marine vessel categories. 

i. What Revisions Were Requested by State? 

In September 2004, Maryland provided revised aircraft and commercial marine vessel emission 

estimates. Pechan replaced the aircraft and commercial marine vessel emissions from their 

CERR submittal with the revised emissions. 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by 

Maryland. Maryland did not provide PM25-PRI aircraft emissions in their inventory. Pechan 

estimated general aviation, military aircraft, and air taxi PM25-PRI emissions by multiplying 

PM10-PRI emissions by a particle size multiplier of 0.69 (EPA, 2003b). Commercial aircraft 

PM25-PRI emissions were estimated by multiplying PM10-PRI emissions by a particle size 

multiplier of 0.976 (ERG, 2004). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

6. Massachusetts 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. 

Massachusetts reviewed the NMIM inputs and approved of the fuel input values for RVP and 

gasoline sulfur content. NMIM2005 reported a weight percent oxygen of 2.1 percent for all 

months for all counties in Massachusetts, and the State requested a value of 1.5 percent be used 

for all counties from October through April. This weight percent value was then converted to a 

volume percent of 8.4 percent for use in NMIM, given that MTBE was the only oxygenate. 

Final fuel input data by county and by month are presented in Table B-1. 

Massachusetts provided annual emissions for aircraft, locomotive and commercial marine vessel 

categories for their nonroad sector CERR submittal. These inventories included all CAP. 

i. What Revisions Were Requested by State? 

Massachusetts requested that Pechan incorporate revisions supplied for annual emissions for inport diesel commercial marine (SCC 2280002010) for Dukes County (25007). 

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b. What QA Issues were Identified and Addressed? 

Pechan changed the aircraft SCC “2275050000” to “2275000000,” since Massachusetts verified 

that this emission record represents all aircraft types, not just general aviation. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

7. New Hampshire 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. New 

Hampshire reviewed and approved of the fuel inputs used in NMIM2005. See Table B-1 for a 

summary of the final fuel input data by county and month. 

Pechan used New Hampshire’s nonroad sector CERR submittal as the basis for the MANE-VU 

aircraft and locomotive inventory. Pechan added commercial marine vessel emissions from the 

preliminary 2002 Nonroad NEI. 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by New 

Hampshire. New Hampshire did not provide PM10 and PM2.5 aircraft emissions in their 

inventory. New Hampshire authorized Pechan to develop aircraft PM10 emissions for all aircraft 

types by applying an average PM10/NOx emission ratio to the aircraft NOx emissions in their 

inventory. The PM10/NOx ratios used were 3.819 for military and air taxi, 3.642 for general 

aviation, and 0.058 for commercial aircraft. Pechan estimated general aviation, military aircraft, 

and air taxi PM25-PRI emissions by multiplying PM10-PRI emissions by a particle size 

multiplier of 0.69 (EPA, 2003b). For commercial aircraft, Pechan estimated PM25-PRI 

emissions using the assumption that 97.6% of PM10 is PM2.5 (ERG, 2004). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

8. New Jersey 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. New Jersey 

approved of the default fuel inputs used in NMIM2005. See Table B-1 for a summary of the 

final fuel input data by county and month. New Jersey provided an updated data input file 

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containing revised equipment populations (34000.pop) for specific SCCs for the NMIM model 

runs. 

Pechan used New Jersey’s nonroad sector CERR submittal as the basis for the aircraft, 

locomotive and commercial marine vessel categories. These inventories included all CAPs. 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by New 

Jersey. The only QA issue identified was the inclusion of carbon dioxide (CO2) in the inventory, 

which is not a valid pollutant code in NIF3.0, so these records were removed. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

9. New York 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. New York 

reviewed the default NMIM inputs and provided revisions to the input values for RVP and 

gasoline sulfur for all months. New York also requested revisions to weight percent oxygen 

values for all counties and months. These weight percent values were then converted to a 

volume percent for use in NMIM, based on MTBE as the only oxygenate for all counties, with 

the exception of four counties. These included Cattaraugus, Chautauqua, Erie, and Niagara 

counties, which use ETOH as the oxygenate. The final fuel input data by county and by month 

are summarized in Table B-1. 

For the aircraft and locomotive categories, Pechan used emissions reported in the preliminary 

2002 Nonroad NEI. 

i. What Revisions Were Requested by State? 

In October 2004, New York provided commercial marine vessel emissions to be added to their 

inventory. New York did not provide PM-2.5 commercial marine vessel emissions for some 

counties in their inventory. Pechan estimated the commercial marine vessel PM25-PRI 

emissions from PM10-PRI using the assumption that 92% of PM10 is PM2.5 (EPA, 2003b). 

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b. What QA Issues were Identified and Addressed? 

Commercial aircraft (SCC 2275020000) emissions for PM10-PRI and PM25-PRI were not 

reported in the EPA’s preliminary 2002 NEI. Pechan estimated PM10-PRI emissions by 

applying a PM10-PRI/NOx emission ratio of 0.058 to available NOx emissions for this SCC. 

Commercial aircraft PM25-PRI emissions were estimated by multiplying PM10-PRI emissions 

by a particle size multiplier of 0.976 (ERG, 2004). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

10. Pennsylvania 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. Pennsylvania 

approved of the fuel inputs provided, which were based on the onroad MOBILE6 inputs. Since 

these differed from the values in NMIM2005, Pechan updated the NMIM profiles accordingly. 

See Table B-1 for a summary of the final fuel input data by county and month. Pennsylvania 

provided one county allocation file for the lawn and garden category (42000hou.alo) to replace 

the default file used in NMIM. 

Pennsylvania submitted an aircraft, locomotive, and commercial marine vessel emissions 

inventory to MANE-VU after the CERR submittal date. 

i. What Revisions Were Requested by State? 

In August 2005, Pennsylvania provided Pechan with county-level updates to SCC 2285002006 

(Line Haul Locomotives: Class I Operations) emissions for all pollutants. Pechan updated all 

emission records for this SCC in Pennsylvania's inventory. 

b. What QA Issues were Identified and Addressed? 

Pennsylvania authorized Pechan to remove the CO2 emission records from their inventory. In 

addition, the following data augmentation was performed to add missing SCCs and pollutants. 

Pennsylvania did not provide commercial aircraft emissions in their inventory. Pechan added 

commercial aircraft emissions from the 2002 preliminary NEI to Pennsylvania’s inventory. 

Pennsylvania did not provide PM10-PRI and PM25-PRI aircraft emissions in their inventory. 

Pechan developed aircraft PM10 emissions for all aircraft types by applying an average PM10/ 

NOx emission ratio to Pennsylvania’s available aircraft NOx emissions. The PM10/NOx ratios 

used were 3.819 for military and air taxi, 3.642 for general aviation, and 0.058 for commercial 

aircraft. Pechan estimated general aviation, military aircraft, and air taxi PM25-PRI emissions 

by multiplying PM10-PRI emissions by a particle size multiplier of 0.69 (EPA, 2003b). For 

commercial aircraft, Pechan estimated PM25-PRI emissions using the assumption that 97.6% of 

PM10 is PM2.5 (ERG, 2004). 

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Pennsylvania also did not provide SO2 general aviation and air taxi emissions in the inventory. 

Pechan estimated the SO2 emissions by applying a SO2/NOx emission ratio to the general 

aviation and air taxi NOx emissions, using ratios of 0.154 and 0.095, respectively. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

11. Rhode Island 

a. What Data Sources Were Used? 

Pechan used NMIM2005 to generate NONROAD model SCC emission estimates. Rhode Island 

approved of the fuel inputs used in NMIM2005. See Table B-1 for a summary of the final fuel 

input data by county and month. Rhode Island provided a revised equipment population file 

(44000.pop) with updated populations for specific SCCs to replace the default file used in 

NMIM. 

Rhode Island provided emissions for aircraft, locomotive and commercial marine vessel 

categories for their nonroad sector CERR submittal. 

i. What Revisions Were Requested by State? 

Rhode Island provided updates in September 2004 to their county-level railroad equipment 

emissions. The new emissions fall under SCC 2285002005 and replace all line haul locomotive 

emissions provided in their CERR submittal. Emission estimates for yard locomotives were also 

provided (SCC 2285002010). 

b. What QA Issues were Identified and Addressed? 

Pechan performed QA of the file, and revised the file to address QA issues as approved by 

Rhode Island. 

PM10 was not identified as either primary or filterable. Rhode Island authorized Pechan to 

change it to PM10-PRI. To avoid double counting, Pechan removed the following SCCs from 

Rhode Island’s inventory: 2275000000, 2280002000, 2280002020, 2280003000, and 

2280003020. These emissions are accounted for under more specific SCCs for aircraft, and 

more aggregate SCCs for commercial marine. 

Rhode Island did not provide PM10-PRI and PM25-PRI aircraft emissions in their inventory. 

Pechan developed aircraft PM10 emissions for all aircraft types by applying an average PM10/

NOx emission ratio to the aircraft NOx emissions in their inventory. The PM10/NOx ratios used 

were 3.819 for military and air taxi, 3.642 for general aviation, and 0.058 for commercial 

aircraft. Pechan estimated general aviation, military aircraft, and air taxi PM25-PRI emissions 

by multiplying PM10-PRI emissions by a particle size multiplier of 0.69 (EPA, 2003b). For 

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commercial aircraft, Pechan estimated PM25-PRI emissions using the assumption that 97.6% of 

PM10 is PM2.5 (ERG, 2004). 

Rhode Island did not provide yard locomotive, and commercial marine vessel PM25-PRI 

emissions in their inventory. Pechan estimated the yard locomotive PM25-PRI emissions from 

PM10-PRI using the assumption that 90% of PM10 is PM25 (EPA, 2003b). Pechan estimated the 

commercial marine vessel PM25-PRI emissions from PM10-PRI using the assumption that 92% 

of PM10 is PM2.5 (EPA, 2003b). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

12. Vermont 

a. What Data Sources Were Used? 

Pechan developed NONROAD model SCC emissions for Vermont using NMIM2005. Vermont 

approved of the default fuel input values used in NMIM2005 for weight percent oxygen, but 

requested that the RVP and gasoline sulfur values reflect values used for onroad mobile source 

emissions. 

Pechan added aircraft emissions for Vermont from the preliminary 2002 Nonroad NEI. 

b. What QA Issues were Identified and Addressed? 

Commercial aircraft (SCC 2275020000) emissions for PM10-PRI and PM25-PRI were not 

reported in the EPA’s preliminary 2002 NEI. Pechan estimated PM10-PRI emissions by 

applying an average PM10-PRI/NOx emission ratio of 0.058 to available NOx emissions. 

Commercial aircraft PM25-PRI emissions were estimated by multiplying PM10-PRI emissions 

by a particle size multiplier of 0.976 (ERG, 2004). 

 

c. What Issues Need to be Addressed in Future Versions? 

Note that there are no locomotive or commercial marine vessel emissions in the NEI for 

Vermont. Where activity for any of these SCCs occurs in Vermont, these categories are not 

represented in the State’s inventory. 

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CHAPTER V – ONROAD SOURCES 

A. General Methods for All States 

This section provides an overview of the data sources and QA steps used in preparing the 2002 

onroad sector inventory for the MANE-VU States and in preparing the corresponding modeling 

inputs for the MANE-VU Version 3 modeling inventory. The onroad sector is comprised of all 

motorized vehicles that travel on the public highways including passenger cars, light-duty trucks, 

minivans, sport utility vehicles, heavy-duty trucks, and buses. It should be noted that, unlike the 

other emission sectors, the modeling inventory inputs for the onroad sector do not include any 

emissions data. The primary modeling inputs for the onroad sector instead are the activity inputs 

(vehicle miles traveled (VMT)) and SMOKE-formatted MOBILE6 input files. The SMOKE 

model then generates full MOBILE6 input files using the MOBILE6 inputs, speed inputs, and 

meteorological inputs for the episode(s) to be modeled, runs the MOBILE6 emission factor 

model to calculate the appropriate emission factors, and calculates emissions using the supplied 

VMT and additional temporal allocation factors for the VMT. 

1. Data Sources 

a. Source of default model data 

The MANE-VU 2002 onroad emissions inventory was compiled from data supplied by the 

MANE-VU State agencies in the form of onroad emissions input data or emissions inventories 

either directly to MANE-VU or to EPA through their CERR submittal. States provided 

information in one or more of the following ways: (1) an onroad emission inventory submittal to 

EPA, (2) MOBILE6 inputs and VMT data in NMIM format to EPA, (3) portions of MOBILE6 

inputs or full MOBILE6 input files and supporting files plus VMT to EPA, or (4) portions of 

MOBILE6 inputs or full MOBILE6 input files and supporting files plus VMT to MANE-VU. 

Different procedures were followed in developing the MANE-VU 2002 onroad emission 

inventory depending upon how the data were submitted. 

As discussed above, the primary data needed in preparing the inputs for the onroad modeling 

files were the VMT data and MOBILE6 input files. All of the MANE-VU States provided VMT 

data, which were incorporated in the SMOKE modeling. The level of detail of the supplied 

VMT data and any additional processing of the VMT data are discussed individually by State, 

below, in Section B: State-Specific Methods. Therefore, no default data were needed for the 

VMT inputs. Default model inputs for the SMOKE MOBILE6 input files were needed in some 

cases. The source of default information to be included in these input files was the NMIM 

national county database, as this was also the default source of data for EPA in preparing the 

2002 NEI. This database includes information on monthly fuel data by county, control program 

information by county, such as inspection and maintenance (I/M) program inputs, and other fleet 

information, such as vehicle registration distributions, that may have been supplied by the States. 

Additionally, vehicle speed information is needed in the SMOKE modeling files. Some States 

supplied this information. In cases where no speed data were supplied, the default speeds used 

by EPA in calculating the NEI were used. These speeds differ by road class group and by 

vehicle class group. 

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For the SMOKE modeling, Pechan did not provide any ambient data such as temperature or 

humidity. Instead, the SMOKE model needs meteorological input data specific to the episode(s) 

being modeled. Thus, although the SMOKE MOBILE6 input files do include temperature data 

and in some cases humidity data, these inputs will be replaced by the SMOKE model with the 

appropriate episode-specific data. 

b. Model inputs and revisions provided by States 

The model inputs and revisions provided by the States are discussed in detail in Section B, 

below. These inputs include VMT data, VMT temporal data, vehicle speeds, I/M program 

inputs, registrations distributions, and other MOBILE6 input data. 

c. Model inputs provided vs. model inputs used 

Pechan prepared the following model input files for Version 3 of the MANE-VU modeling 

inventory: 

• MANEVU_2002_mbinv_02022006.txt—contains VMT and speeds by county and SCC; 

• MANEVU_2002_mtpro_02022006.txt—contains VMT temporal profiles; 

• MANEVU_2002_mtref_02022006.txt—contains cross references between temporal 

profiles and county/SCC; 

• MANEVU_2002_vmtmix_02022006.txt—contains VMT vehicle mix fractions; 

• MANEVU_2002_mcref_02022006.txt—contains cross reference between MANE-VU 

counties and the SMOKE MOBILE6 input files; 

• MANEVU_2002_mvref_02022006.txt—contains general county-level information for 

SMOKE; 

• MANEVU_2002_spdpro.txt—contains hourly speed profiles (SPDPRO); 

• MANEVU_2002_spdref.txt—contains cross references between speed profiles and 

MANE-VU county/SCC; 

• MANEVU_2002_mcodes.txt—contains information on SCCs used in MBINV file; 

• MANEVU_SMOKE_M6Inputs_MA_NJ_02022006.zip—contains monthly SMOKEformatted MOBILE6 input files for Massachusetts and New Jersey, updated for Version 

3; 

• MANEVU_2002_SMOKE_M6_InputFiles032004.zip—contains monthly SMOKEformatted MOBILE6 input files for all MANE-VU States. Files for Massachusetts and 

New Jersey from this zip file should be replaced by the Version 3 files dated 02/02/2006. 

• MANEVU_2002_SMOKE_M6_ExternalFiles.zip—contains external data files called by 

the SMOKE MOBILE6 input files. 

2. What Quality Assurance Steps were Performed? 

This section provides a brief summary of the QA steps and processes that were performed in the 

development of the onroad sector modeling inputs for MANE-VU. The initial QA procedures 

were performed on the emissions and input data used to calculate the MANE-VU 2002 onroad 

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emission inventory. Some of these QA procedures are also relevant here to the modeling 

inventory as many of the inputs are either the same or start with common information. 

For States submitting onroad emission inventories to EPA, Pechan performed QA checks on the 

State-provided emission inventory data to ensure completeness, referential integrity, and correct 

formatting of the data. Where necessary as a result of these QA checks, and with the approval of 

the affected State, Pechan revised the inventories to meet the necessary inventory standards. For 

the modeling inventory, the VMT checks included in these QA checks are relevant. Note that a 

Quality Assurance Plan was prepared prior to initiating work on Version 1 (MANE-VU, 2003). 

This plan was applied during development of all three versions of the MANE-VU inventory. 

a. Data input summary spreadsheets for State review 

In reviewing the data submitted for both the annual onroad inventory and the onroad modeling 

files, Pechan prepared a State QA report for each State. These reports were in the form of Excel 

spreadsheets. In each of the State QA reports, a page was included that summarized the 

modeling inputs. This included MOBILE6 input parameters, such as I/M data, registration data, 

and fuel data. Columns were included indicating the data file name, data coverage (e.g., 

statewide or for specific counties), data source, any comments regarding the data, an indication 

of whether any guidance was requested from the State agency before proceeding, and columns 

for State agency approval of the listed inputs. These reports were provided to each State agency 

and the State could either approve the inputs summarized or provide an alternate data source or 

calculation method. For States that had submitted emission inventories in NIF format, results of 

the NIF QA checks were also included in these State QA reports for the states to review and 

approve and provide alternate data or methods. This table also include information on the VMT 

data source and any proposed methodologies needed for processing the VMT. 

b. Responses from State Agencies 

The appropriate State agency staff reviewed the State QA reports and provided direction for 

correcting QA issues either in the QA Summary Report Excel file or via e-mail. The modeling 

inputs were then revised to incorporate responses from the agencies. 

3. Version 3 Emission Summaries 

Table V-1 presents a summary of the annual 2002 Version 3 MANE-VU onroad sector pollutant 

emissions for each MANE-VU State, as well as a regional total. Differences between these 

Version 3 annual emission totals and the Version 2 totals documented in the January 2005 

MANE-VU mobile sources inventory report are the result of updated data provided by New 

Jersey and Massachusetts. Emissions for the remaining states have not changed. It should be 

noted that these emission results are from the annual inventory modeling. These will differ from 

the results obtained by the SMOKE onroad modeling. Additionally, the emissions in this table 

do not reflect VMT updates from Vermont that were provided after the Version 2 MANE-VU 

annual inventory had been calculated, but were included in the SMOKE Version 2 and Version 3 

modeling inputs. 

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Table V-1. Annual 2002 Onroad Sector Emissions by MANE-VU State 

(Tons/Year) 

State VOC NOx CO SO2 PM10-PRI PM25-PRI NH3

Connecticut 31,755.3 68,816.2 562,124.0 1,666.9 1,580.0 1,041.6 3,293.9

Delaware 10,563.8 21,340.5 160,760.4 583.9 581.1 414.9 902.8

District of Columbia 4,895.3 8,902.0 66,017.6 271.1 222.0 153.0 397.8

Maine 23,037.4 54,686.8 410,957.8 1,803.9 1,239.1 934.4 1,467.5

Maryland 61,846.7 122,210.0 1,000,762.8 4,057.6 3,168.3 2,200.4 5,594.3

Massachusetts 57,185.5 143,367.6 1,039,100.1 4,398.8 3,407.5 2,409.9 5,499.1

New Hampshire 16,762.3 33,283.0 306,792.5 776.9 814.3 561.8 1,447.0

New Jersey 89,752.9 152,076.1 1,273,513.1 3,648.6 3,725.3 2,469.0 7,382.0

New York 287,845.2 319,732.5 3,711,149.6 10,639.5 8,457.5 5,897.7 14,680.9

Pennsylvania 176,090.3 346,471.5 2,784,196.5 10,924.1 7,351.5 5,331.2 10,532.3

Rhode Island 12,537.8 16,677.2 186,196.8 425.3 345.1 210.5 852.6

Vermont 17,287.8 20,669.9 248,247.6 893.8 669.6 482.8 934.1

Total MANE-VU 789,560.3 1,308,233.3 11,749,818.8 40,090.5 31,561.3 22,107.2 52,984.3 

B. State-Specific Methods 

The following sections describe what modeling inputs were used for each State and how these 

inputs were developed. 

1. Connecticut 

a. What Data Sources Were Used? 

Table V-2 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of Connecticut. This table notes the level of detail of the data included as well as 

the source of the original information used to create these data files. 

The VMT inputs provided by Connecticut were in the form of three sets of data. This included a 

file with VMT by county and four road types (Expressway, Arterial/Collector, Local, and 

Ramp), a set of Statewide VMT mixes at the 16 vehicle type-level for each of the four 

Connecticut road types, and a Statewide hourly VMT distribution file. Additional data provided 

by Connecticut showing the correspondence between the four Connecticut road types and the 12 

Highway Performance Monitoring System (HPMS) road types were used to first distribute the 

county VMT to the 12 road types. Average daily miles were converted to annual miles by 

multiplying the average daily miles by 365. Pechan then developed a simple MOBILE6 input 

file that used the Connecticut registration distribution and with a separate scenario for each of the 

VMT mixes provided at the 16 vehicle type level. Pechan used the resulting MOBILE6 output 

file to extract the 28 vehicle type VMT mix corresponding to each of the four Connecticut road 

types. The VMT data by county and 12 road types were then multiplied by the 28 vehicle type 

VMT fractions to obtain a VMT file at the 28 vehicle type level and 12 road type level by county 

(for use in calculating the annual emission inventory). VMT from these 28 vehicle types were 

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then aggregated to the 12 vehicle types needed for the SMOKE MBINV input file. The VMT 

mix fractions by vehicle type for each county and road type were also calculated for inclusion in 

the SMOKE VMTMIX file. 

Table V-2. Connecticut Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC CT 

Speeds MANEVU_2002_mbinv_02022006.txt Road type/3 vehicle 

groups 

Default 

NEI 

Speed 

profiles 

MANEVU_2002_spdpro.txt and 

MANEVU_2002_spdref.txt 

County/hour/road 

type 

CT 

VMT mix MANEVU_2002_vmtmix_02022006.txt Statewide/road type CT 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

For Connecticut, speed information is contained in both the MBINV SMOKE file as well as in 

the SMOKE speed profile (SPDPRO) and speed cross reference file (SPDREF) files. The speed 

information contained in the MBINV file is simply the default NEI speed data. The actual speed 

data to be used in the modeling inventory for Connecticut are contained in the SMOKE SPDPRO 

and SPDREF. The speed data from these two files should overwrite the default speed 

information contained in the MBINV file during the SMOKE modeling. The data used to 

develop the speed profiles were provided by Connecticut in the form of NMIM speed input files 

with the fraction of VMT occurring within each of 14 speed bins. These speed distributions 

differ by hour of day and by freeways versus arterials and collectors. Separate speed distribution 

files were provided by Connecticut for each county. Pechan then converted these speed data into 

the speed profile format needed for SMOKE—hourly average speeds by county and the two 

specified road types. 

Connecticut provided the following data that were incorporated into the monthly MOBILE6 

input files for the SMOKE modeling: 

• Statewide registration distribution; 

• Hourly VMT distributions; 

• Statewide I/M program inputs and Anaerobic Thermal Processor (ATP); and 

• RVP and fuel program data. 

The data submitted by Connecticut indicated that Federal Northern reformulated gasoline is in 

place in the State, with an ozone season RVP of 6.8 pounds per square inch (psi). Based on the 

NMIM modeling that was performed for the annual emission inventory, the reformulated 

gasoline program was modeled in the SMOKE MOBILE6 input files using the combination of 

the FUEL PROGRAM: 4 command (indicating user-supplied gasoline sulfur inputs), RVP 

command, and the OXYGENATED FUELS command. The monthly oxygenated fuel and 

gasoline sulfur inputs, and the non-ozone season monthly RVP values were obtained from the 

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NMIM national county database for Connecticut. During the ozone season months, the RVP 

value submitted by Connecticut of 6.8 psi was modeled. The fuel data obtained from NMIM are 

the same for all counties in Connecticut, except Fairfield, which shows different fuel properties, 

but all represent reformulated gasoline. These values for both Fairfield and the remaining 

counties differed by season (i.e., the ozone season from May through September, transition 

months of March, April, October, and November, and the winter months of December, January, 

and February). Statewide diesel sulfur values modeled from NMIM were 367 ppm sulfur in the 

summer months (June, July, and August), 340 ppm sulfur in the winter months (December, 

January, and February), and 353 ppm sulfur in the spring and fall months. 

Data provided by Connecticut indicated that the State follows the OTC low emission vehicle 

(LEV) program vehicle implementation schedule. Therefore, the OTC-LEV program LEV 

implementation schedule was included in the MOBILE6 SMOKE input files, starting 

implementation in the 1999 model year followed by a full implementation of the National LEV 

program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Connecticut. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

2. Delaware 

a. What Data Sources Were Used? 

Table V-3 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of Delaware. This table notes the level of detail of the data included as well as the 

source of the original information used to create these data files. 

Delaware provided VMT data in the form of the NEI NIF PE table as well as in the NMIM 

BaseYearVMT table format. Additionally, Delaware provided monthly VMT fractions 

developed from VMT counts on a variety of road types. These monthly VMT fractions were 

provided for each of the Delaware counties. Since the data in the NEI NIF PE table were at the 

level of detail needed for the SMOKE MBINV file, the format of the VMT data was simply 

converted from the NIF format to the SMOKE MBINV format. Similarly, the monthly VMT 

fractions were converted to the profile format needed in the SMOKE MTPRO file, with the 

appropriate cross references in the MTREF file. The average speeds provided by Delaware at 

the county/road type level were included in the SMOKE MBINV file. 

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100

Table V-3. Delaware Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC DE 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type DE 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly by 

county/road type 

DE 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

The fuel data submitted by Delaware was based on the NMIM defaults with the NMIM October 

data replaced by the NMIM November data. The reformulated gas fuel parameters were 

modeled in the SMOKE MOBILE6 input files by using the combination of the OXYGENATED 

FUELS, FUEL RVP, and FUEL PROGRAM (for gasoline sulfur contents) commands for each 

month. Statewide diesel sulfur values modeled from NMIM were 300 ppm sulfur in the summer 

months (June, July, and August), 280 ppm sulfur in the winter months (December, January, and 

February), and 290 ppm sulfur in the spring and fall months. 

Data provided by Delaware indicated that the State follows the OTC-LEV program vehicle 

implementation schedule. Therefore, the OTC-LEV program LEV implementation schedule was 

included in the MOBILE6 SMOKE input files, starting implementation in the 1999 model year 

followed by a full implementation of the National LEV program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Delaware. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

3. District of Columbia 

a. What Data Sources Were Used? 

Table V-4 summarizes the onroad SMOKE input files that were prepared containing information 

for the District of Columbia. This table notes the level of detail of the data included as well as 

the source of the original information used to create these data files. 

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Table V-4. District of Columbia Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC DC 

Speeds MANEVU_2002_mbinv_02022006.txt Road type DC 

VMT mix MANEVU_2002_vmtmix_02022006.txt Road type DC 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

The District of Columbia provided 2002 VMT data in the form of the NMIM BaseYearVMT 

table. This table included VMT at the 28 vehicle type level for each of the six urban road types 

in the District of Columbia. VMT from these 28 vehicle types were then aggregated to the 12 

vehicle types needed for the SMOKE MBINV input file. The VMT mix fractions by vehicle 

type for each county and road type were also calculated for inclusion in the SMOKE VMTMIX 

file. The District also provided a spreadsheet including the daily average weighted speed by 

roadway class. These speeds were incorporated in the SMOKE MBINV file. The District of 

Columbia provided the following data that were incorporated into the monthly MOBILE6 input 

files for the SMOKE modeling: 

• District-wide registration distribution; 

• I/M program and ATP inputs; and 

• Weekday trip length distribution file. 

The District of Columbia specified that the NMIM fuel program default data for the District 

should be used for the MANE-VU modeling. This included reformulated gasoline district wide, 

modeled using the FUEL RVP, and FUEL PROGRAM (for gasoline sulfur contents) commands 

for each month. Statewide diesel sulfur values modeled from NMIM were 329 ppm sulfur in the 

summer months (June, July, and August), 324 ppm sulfur in the winter months (December, 

January, and February), and 326 ppm sulfur in the spring and fall months. 

Data provided by the District of Columbia indicated that the District follows the OTC-LEV 

program vehicle implementation schedule. Therefore, the OTC-LEV program LEV 

implementation schedule was included in the MOBILE6 SMOKE input files, starting 

implementation in the 1999 model year followed by a full implementation of the National LEV 

program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for the District of Columbia. 

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c. What Issues Need to be Addressed in Future Versions? 

The SMOKE MOBILE6 files for the District of Columbia should include the OXYGENATED 

FUELS command to fully model reformulated gasoline in the District of Columbia. This 

command was inadvertently left out of the SMOKE MOBILE6 files. 

4. Maine 

a. What Data Sources Were Used? 

Table V-5 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of Maine. This table notes the level of detail of the data included as well as the 

source of the original information used to create these data files. 

Table V-5. Maine Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC ME 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type ME 

VMT mix MANEVU_2002_vmtmix_02022006.txt Statewide/road type Default 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Maine provided 2002 average daily VMT by county and 12 roadway types. Maine had no 

information available on the distribution of VMT among vehicle types. Therefore, Pechan 

developed the VMT by county, roadway type, and vehicle type by using the default MOBILE6 

2002 VMT mix by vehicle type. These VMT data were converted to annual VMT by 

multiplying the average daily VMT by 365. The MOBILE6 VMT default mix fractions by 

vehicle type for 2002 were included for Maine in the SMOKE VMTMIX file. Maine also 

provided average speed data by county and roadway type. These data were included in the 

SMOKE MBINV file. 

Maine provided the following data that were incorporated into the monthly MOBILE6 input files 

for the SMOKE modeling: 

• I/M program inputs and ATP inputs for Cumberland County only; and 

• Monthly average RVP data. 

Statewide diesel sulfur values were obtained from the NMIM defaults for Maine. A diesel sulfur 

value of 390 ppm sulfur was modeled in the summer months (June, July, and August), 338 ppm 

sulfur in the winter months (December, January, and February), and 364 ppm sulfur in the spring 

and fall months. 

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Data provided by Maine indicated that the State follows the OTC-LEV program vehicle 

implementation schedule. Therefore, the OTC-LEV program LEV implementation schedule was 

included in the MOBILE6 SMOKE input files, starting implementation in the 1999 model year 

followed by a full implementation of the National LEV program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Maine. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

5. Maryland 

a. What Data Sources Were Used? 

Table V-6 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of Maryland. This table notes the level of detail of the data included as well as the 

source of the original information used to create these data files. 

Maryland submitted annual VMT data in the form of a NIF tblMobilePE table. This included 

VMT by county, 12 vehicle types, and 12 road types. These VMT data were then converted to 

the format needed for the SMOKE MBINV file. Pechan calculated VMT mix fractions from the 

VMT data supplied by Maryland to obtain the VMT mixes by county and road type contained in 

the SMOKE VMTMIX file. In addition, Maryland provided monthly VMT distribution data by 

road type. Pechan converted these data to the format needed for the SMOKE MTPRO and 

MTREF files. The same set of monthly temporal profiles were applied to all counties in 

Maryland. Maryland also provided a spreadsheet showing the average speed Statewide for each 

of the 12 roadway types. These speed data were included in the SMOKE MBINV file. 

Maryland provided the following data that were incorporated into the monthly MOBILE6 input 

files for the SMOKE modeling: 

• County-specific registration distribution; 

• County-specific diesel sales fractions; 

• I/M program inputs and ATP inputs to be applied in the 14 I/M counties; and 

• Statewide monthly diesel sulfur content data. 

Maryland indicated that the NMIM default fuel parameters for Maryland should be used in the 

MANE-VU modeling. This fuel data includes reformulated gasoline in 14 of the Maryland 

counties. The reformulated gasoline program was modeled using the FUEL RVP, and FUEL 

PROGRAM (for gasoline sulfur contents) commands for each month. Maryland provided 

monthly Statewide diesel sulfur values. These values ranged from 455 ppm sulfur to 500 ppm 

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sulfur. These values were included in the corresponding monthly SMOKE MOBILE6 input 

files. 

Table V-6. Maryland Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC MD 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type MD 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type MD 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Statewide monthly by 

road type 

MD 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Data provided by Maryland indicated that the State follows the OTC-LEV program vehicle 

implementation schedule. Therefore, the OTC-LEV program LEV implementation schedule was 

included in the MOBILE6 SMOKE input files, starting implementation in the 1999 model year 

followed by a full implementation of the National LEV program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Maryland affecting the modeling inventory files. 

c. What Issues Need to be Addressed in Future Versions? 

The SMOKE MOBILE6 files for Maryland should include the OXYGENATED FUELS 

command to fully model reformulated gasoline in the Maryland counties that implement the 

reformulated gasoline program. This command was inadvertently left out of the Maryland 

SMOKE MOBILE6 files. 

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6. Massachusetts 

a. What Data Sources Were Used? 

Table V-7 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of Massachusetts. This table notes the level of detail of the data included as well as 

the source of the original information used to create these data files. 

Table V-7. Massachusetts Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC MA 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type MA 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type Default 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly by county MA 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

The Version 3 MANE-VU onroad modeling for Massachusetts differed from the Version 2 

modeling, based on updates provided by Massachusetts in December 2005. The primary 

changes for Massachusetts from Version 3 is the use of updated 2002 VMT data and vehicle 

speed date. Massachusetts provided a spreadsheet containing revised VMT values and vehicle 

speeds for 2002 by county and SCC. Pechan prepared the revised Massachusetts VMT data and 

the speed data in the format of the SMOKE MBINV file. Using the revised VMT data by SCC, 

Pechan calculated the updated VMT mixes by vehicle type for each county and road type in 

Massachusetts and formatted the resulting data to be included in the SMOKE VMTMIX file. 

The original VMT data submitted by Massachusetts included VMT for each of the four seasons. 

Pechan used these data to develop monthly VMT temporal profiles. Seasonal VMT was 

assigned to the months in that season based on the ratio of the number of days in a specific 

month to the number of days in the season. Pechan then formatted the monthly temporal VMT 

allocation factors for inclusion in the SMOKE MTPRO and MTREF files. 

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Massachusetts provided the following data that were incorporated into the monthly MOBILE6 

input files for the SMOKE modeling: 

• Statewide registration distribution; 

• Statewide I/M program inputs and ATP inputs; 

• RVP and fuel program data; 

• Diesel sulfur content of 350 ppm sulfur year-round and statewide; and 

• Massachusetts-specific LEV and Tier 2 implementation files. 

Northern reformulated gasoline was modeled statewide throughout the State, with a RVP value 

of 6.7 psi during the ozone season and 13.5 psi during the remaining months, based on inputs 

provided by Massachusetts. The section below on QA issues for Massachusetts discusses the 

fuel inputs modeled in the Version 3 SMOKE MOBILE6 input files in more detail. 

Massachusetts provided the necessary inputs to model the State’s LEV implementation schedule 

and Tier 2 data, which differ from the OTC-LEV program and from the default MOBILE6 Tier 2 

data. 

b. What QA Issues were Identified and Addressed? 

In addition to the VMT updates, Pechan revised the SMOKE MOBILE6 input files for 

Massachusetts for Version 3. This was done because Version 2 of the MANE-VU modeling 

inventory was prepared using the default setting of MOBILE6 to model reformulated gasoline 

(i.e., using the command line “FUEL PROGRAM : 2 N”). Since the time that the Version 2 

inventory was created, EPA found a bug with the sulfur content values used when the default 

reformulated gasoline command is used. To eliminate this problem, Pechan created revised 

SMOKE MOBILE6 input files for Massachusetts that model reformulated gasoline by explicitly 

setting the RVP, gasoline sulfur contents, and gasoline oxygen contents. The gasoline sulfur 

contents and gasoline oxygen contents were set according to the default parameters laid out in 

the MOBILE6 user’s guide. The summer (May through September) sulfur content is 129 ppm in 

2002 and the winter sulfur content is 279 ppm in 2002. The summer gasoline contains 2.1 

percent oxygen, with MTBE as the oxygenate. The winter gasoline contains 1.5 percent oxygen 

in 70 percent of the fuel having MTBE as the oxygenate, and 3.5 percent oxygen in 30 percent of 

the fuel having ETOH as the oxygenate. The RVP values were not changed from those modeled 

in Version 2 (6.7 psi in the summer and 13.5 psi in the winter). 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

7. New Hampshire 

a. What Data Sources Were Used? 

Table V-8 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of New Hampshire. This table notes the level of detail of the data included as well 

as the source of the original information used to create these data files. 

Appendix G Att. 13a - Page Number

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107

Table V-8. New Hampshire Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC NH 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type NH 

VMT mix MANEVU_2002_vmtmix_02022006.txt Statewide NH 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

The VMT inputs provided by New Hampshire were in the form of summer day VMT by county 

or nonattainment area and roadway type. In addition, New Hampshire provided a Statewide 

VMT mix distribution by 16 vehicle types in the MOBILE6 files provided by the State. Pechan 

then developed a simple MOBILE6 input file that used the New Hampshire Statewide 

registration distribution and the Statewide VMT mix by vehicle type. Pechan used the resulting 

MOBILE6 output file to extract the 28 vehicle type VMT mix to be applied Statewide to the 

county/roadway type VMT data. Summer day miles were converted to annual miles by using 

national data from the Federal Highway Administration’s Travel Volume Trends which provides 

2002 monthly VMT for groups of road categories. Additionally, the VMT data from the three 

New Hampshire nonattainment areas represented four counties. To allocate these VMT by 

county, Pechan first totaled the VMT data from these three nonattainment areas by roadway type. 

Then, using ratios developed from the preliminary 2002 NEI VMT, Pechan allocated the 

grouped VMT by county and roadway type. With VMT for the entire State at the 

county/roadway type level of detail, Pechan then multiplied the VMT data by the 28 vehicle type 

VMT fractions to obtain a VMT file at the 28 vehicle type level and 12 roadway type level by 

county for use in preparing the annual onroad emission inventory. VMT from these 28 vehicle 

types were then aggregated to the 12 vehicle types needed for the SMOKE MBINV input file. 

The VMT mix fractions by vehicle type for each county and road type were also calculated for 

inclusion in the SMOKE VMTMIX file. New Hampshire also provided a spreadsheet including 

the average speed by roadway class for each county or county group. These speeds were 

incorporated in the SMOKE MBINV file. 

New Hampshire provided the following data that were incorporated into the monthly MOBILE6 

input files for the SMOKE modeling: 

• Statewide registration distribution; and 

• Statewide ATP inputs. 

New Hampshire specified that the NMIM fuel program default data for New Hampshire should 

be used for the MANE-VU modeling. This included reformulated gasoline in four counties, 

modeled using the FUEL RVP, and FUEL PROGRAM (for gasoline sulfur contents) commands 

for each month. Statewide diesel sulfur values modeled from NMIM were 400 ppm sulfur in the 

Appendix G Att. 13a - Page Number

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summer months (June, July, and August), 340 ppm sulfur in the winter months (December, 

January, and February), and 370 ppm sulfur in the spring and fall months. 

Data provided by New Hampshire indicated that the State follows the OTC-LEV program 

vehicle implementation schedule. Therefore, the OTC-LEV program LEV implementation 

schedule was included in the MOBILE6 SMOKE input files, starting implementation in the 1999 

model year followed by a full implementation of the National LEV program in the 2001 model 

year. 

b. What QA Issues were Identified and Addressed? 

Through the State QA report process, New Hampshire provided updated inputs for VMT and 

speeds that were incorporated in the modeling inventory inputs. 

c. What Issues Need to be Addressed in Future Versions? 

The SMOKE MOBILE6 files for the four New Hampshire that implement reformulated gasoline 

should include the OXYGENATED FUELS command to fully model the benefits reformulated 

gasoline. This command was inadvertently left out of the SMOKE MOBILE6 files. 

8. New Jersey 

a. What Data Sources Were Used? 

Table V-9 summarizes the onroad SMOKE input files that were prepared containing information 

for the State of New Jersey. This table notes the level of detail of the data included as well as the 

source of the original information used to create these data files. 

Table V-9. New Jersey Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC NJ 

Speeds MANEVU_2002_mbinv_02022006.txt Road type/3 vehicle 

groups 

Default 

NEI 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type NJ 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly by 3 county 

groups and 

weekday/weekend 

NJ 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Updates were made to the Version 2 MOBILE6 SMOKE inputs for New Jersey in December 

2005 to create Version 3, based on revised data provided by the State. New Jersey provided the 

following files: 

Appendix G Att. 13a - Page Number

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• a set of SMOKE MOBILE6 input files by county and month; 

•NJ_2002_mbinv.txt file that contained revised VMT and speeds by county and SCC, 

generated by NJDEP in August 2005, in SMOKE format; 

• amptref.m3.manevu.vistascem.032805_NJVMT.txt—a SMOKE-formatted file containing 

county/SCC-level temporal profile cross-references; 

• amptro.m3.manevu.vistascem.032805_NJVMT.txt—a SMOKE-formatted file containing 

county-specific VMT temporal profiles prepared by NJDEP in August 2005; and 

• zip files containing external files needed to run the SMOKE MOBILE6 files. 

After an initial review of these files, Pechan did not note any differences in the SMOKE 

MOBILE6 files from the Version 2 files. Pechan then confirmed with New Jersey that the only 

changes from the Version 2 date were in the VMT data. The VMT and speed data by county and 

SCC in the MBINV file provided by New Jersey were copied to the MANE-VU SMOKE 

MBINV file, replacing the VMT and speed data from the Version 2 SMOKE MBINV file for 

New Jersey. The speed data included by New Jersey are the default NEI speeds by road type and 

vehicle type. Using the new VMT data provided by New Jersey, Pechan calculated a revised set 

of VMT mix fractions by vehicle type and included these in the Version 3 SMOKE VMTMIX 

file. Pechan pasted the temporal profiles provided for New Jersey into the SMOKE MTPRO 

file. This included monthly temporal profiles and diurnal temporal profiles. The diurnal 

temporal profiles were applied to both weekdays and weekends. Similarly the temporal cross 

reference data included in the file provided by New Jersey was pasted into the SMOKE MTREF 

file for MANE-VU Version 3. 

The following New Jersey-provided were included in the monthly MOBILE6 input files for the 

SMOKE modeling: 

• Statewide registration distribution; 

• Statewide diesel sales fractions; 

• Statewide I/M program and ATP inputs; and 

• Diesel sulfur content data (340 ppm statewide). 

Northern reformulated gasoline was modeled statewide throughout the State, using NMIM fuel 

program input defaults for New Jersey. The section below on QA issues for New Jersey 

discusses the fuel inputs modeled in the Version 3 SMOKE MOBILE6 input files in more detail. 

Data provided by New Jersey indicated that the State follows the OTC-LEV program vehicle 

implementation schedule. Therefore, the OTC-LEV program LEV implementation schedule was 

included in the MOBILE6 SMOKE input files, starting implementation in the 1999 model year 

followed by a full implementation of the National LEV program in the 2001 model year. 

b. What QA Issues were Identified and Addressed? 

As discussed above for New Jersey, the Version 2 New Jersey SMOKE MOBILE6 input files 

modeled reformulated gasoline using the command line “FUEL PROGRAM : 2 N”, which is 

the default method for modeling reformulated gasoline with MOBILE6. To eliminate the effects 

Appendix G Att. 13a - Page Number

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of the MOBILE6 reformulated gasoline bug from the SMOKE MOBILE6 inputs, Pechan 

explicitly modeled the reformulated gasoline program in the New Jersey MOBILE6 input files 

by explicitly modeling the appropriate settings of the RVP, oxygenated fuel content commands, 

and gasoline sulfur commands. The values for oxygenated fuel settings and gasoline sulfur 

contents by month were extracted from the NMIM county-level database used in developing the 

annual emissions inventory for the MANE-VU Version 2 onroad emissions inventory. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

9. New York 

a. What Data Sources Were Used? 

Table V-10 summarizes the onroad SMOKE input files that were prepared containing 

information for the State of New York. This table notes the level of detail of the data included as 

well as the source of the original information used to create these data files. 

Table V-10. New York Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC NY 

Speeds MANEVU_2002_mbinv_02022006.txt Road type/3 vehicle 

groups 

Default 

NEI 

Speed 

profiles 

MANEVU_2002_spdpro.txt and 

MANEVU_2002_spdref.txt 

County/hour/road 

type 

NY 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type NY 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly by 3 county 

groups 

NY 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

VMT for New York was provided in the form of a NIF PE table. These VMT data were 

extracted and included in the SMOKE MBINV file. VMT mix fractions by vehicle type were 

calculated from these VMT data and included in the SMOKE VMTMIX file. 

New York provided a spreadsheet with average speeds in each of four daily time periods by 

county and road type. Pechan converted these speed data to the SMOKE SPDPRO format, 

assigning the speed for a given time period to all hours included in that time period. Pechan also 

prepared the SMOKE SPDREF file to appropriately cross reference each county and road type to 

the corresponding hourly speed profile. Because these more detailed speed files were provided 

for New York, the average speed by road type and county in the MBINV file was populated with 

default NEI speeds. 

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New York also provided spreadsheets showing monthly VMT by county and roadtype. After 

processing these VMT values to develop monthly temporal factors, Pechan observed that there 

were only three unique monthly profiles in this data set. These three profiles were then added to 

the SMOKE MTPRO file. Pechan then matched each county and road type in the State to the 

corresponding monthly VMT profile in the SMOKE MTREF file. 

New York provided the following data that were incorporated into the monthly MOBILE6 input 

files for the SMOKE modeling: 

• Registration distributions—one for the New York metropolitan area and one for the 

rest of the State; 

• Diesel sales fractions—one for the New York metropolitan area and one for the rest 

of the State; 

• Statewide mileage accumulation rate input; 

• Monthly RVP data—one set for the New York metropolitan area and one for the rest 

of the State; 

• Reformulated gasoline program inputs for affected counties modeled with MOBILE6 

defaults (i.e., “FUEL PROGRAM : 2 N”); 

• I/M program inputs for affected counties; 

• Statewide ATP inputs; 

• Hourly VMT distributions by county group; 

• Start distributions by county; 

• Diesel sulfur content data (400 ppm statewide). 

New York also provided the necessary input files to model the State’s LEV program 

implementation schedule, which differs from the OTC LEV program. New York also provided 

MOBILE6 Tier 2 modeling files to be used along with the New York LEV program inputs. 

These inputs were included in the SMOKE MOBILE6 modeling. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for New York affecting the modeling inventory files. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

10. Pennsylvania 

a. What Data Sources Were Used? 

Table V-11 summarizes the onroad SMOKE input files that were prepared containing 

information for the State of Pennsylvania. This table notes the level of detail of the data included 

as well as the source of the original information used to create these data files. 

Appendix G Att. 13a - Page Number

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Table V-11. Pennsylvania Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC PA 

Speeds MANEVU_2002_mbinv_02022006.txt County/road type PA 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type PA 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly by county PA 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Pennsylvania provided a database file (NEIANN02.dbf) that contained the VMT and speed data 

by county, roadway type, and vehicle type. This included the same VMT used in the calculation 

of the annual onroad inventory submitted by Pennsylvania for MANE-VU. Pechan converted 

the data from this database file into VMT and speed data in the format of the SMOKE MBINV 

file. From the VMT data, Pechan calculated VMT fractions by vehicle type by county and road 

type for inclusion in the SMOKE VMTMIX file. Pennsylvania also provided estimates of VMT 

by month for each county. Pechan converted these data to monthly allocation factors in the 

format needed by the SMOKE MTPRO and MTREF files. A separate monthly profile was 

developed for each county, but applied to all road types within that county. 

Pennsylvania provided the following data that were incorporated into the monthly MOBILE6 

input files for the SMOKE modeling: 

•Registration distributions for each individual county; 

•I/M program and ATP inputs for affected Philadelphia and Pittsburgh area counties 

(inputs differ for the two areas); 

•Monthly RVP data for all counties including 7.8 psi RVP program from May 

through September for Pittsburgh counties; 

•Reformulated gasoline for the 5-county Philadelphia area modeled with MOBILE6 

defaults (i.e., “FUEL PROGRAM : 2 N”); and 

•Diesel sulfur content data (500 ppm statewide). 

Data provided by Pennsylvania indicated that the State follows the OTC-LEV program vehicle 

implementation schedule. Therefore, the OTC-LEV program LEV implementation schedule was 

included in the MOBILE6 SMOKE input files, starting implementation in the 1999 model year 

followed by a full implementation of the National LEV program in the 2001 model year. 

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b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Pennsylvania affecting the modeling inventory files. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

11. Rhode Island 

a. What Data Sources Were Used? 

Table V-12 summarizes the onroad SMOKE input files that were prepared containing 

information for the State of Rhode Island. This table notes the level of detail of the data included 

as well as the source of the original information used to create these data files. 

Table V-12. Rhode Island Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC RI 

Speeds MANEVU_2002_mbinv_02022006.txt County group/road 

type 

RI 

VMT mix MANEVU_2002_vmtmix_02022006.txt Statewide RI 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Rhode Island provided a spreadsheet with the 2002 VMT as well as Statewide 2002 VMT 

fractions by 16 vehicle types. Pechan prepared a simple MOBILE6 input file including this 

Rhode Island 2002 VMT mix by vehicle type and the 2002 Rhode Island registration 

distribution. The VMT mix in the MOBILE6 output file at the 28 vehicle type level was then 

used to distribute the VMT by vehicle category. The 2002 daily VMT was at the State level, 

broken down by the 12 roadway types. To allocate these VMT data to the county/road type level 

of detail, Pechan summed the VMT from the preliminary version of EPA’s 2002 NEI for Rhode 

Island first by State and roadway type and then by county and roadway type. Pechan calculated 

county/roadway type VMT fractions by dividing the VMT at the county/roadway type level by 

the State/roadway type VMT for the same roadway type. These fractions were then multiplied 

by the VMT supplied by Rhode Island at the State/roadway type level of detail to obtain 

county/roadway type VMT data. These county/roadway type VMT data were then multiplied by 

the 28 vehicle type VMT fractions to obtain VMT at the level of detail needed to populate the 

NMIM BaseYearVMT table for calculating the annual inventory and were then summed to the 

16-vehicle type level of detail for use in the SMOKE MBINV file. The data were also converted 

from daily VMT to annual by multiplying the average daily VMT by 365. VMT mix fractions 

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from this final data set were then formatted in the SMOKE VMTMIX format at the State level of 

detail. Statewide speeds by road type, as provided by Rhode Island, were included in the 

SMOKE MBINV file. 

Rhode Island provided the following data that were incorporated into the monthly MOBILE6 

input files for the SMOKE modeling: 

• Statewide registration distribution; and 

• Statewide I/M program inputs. 

Data for fuel parameters were obtained from the NMIM national county database for Rhode 

Island. This included reformulated gasoline Statewide, modeled using the FUEL RVP, and 

FUEL PROGRAM (for gasoline sulfur contents) commands for each month. These values 

differed by season, but were consistent Statewide. Statewide diesel sulfur values modeled from 

NMIM were 400 ppm sulfur in the summer months (June, July, and August), 340 ppm sulfur in 

the winter months (December, January, and February), and 370 ppm sulfur in the spring and fall 

months. 

The NMIM default LEV program for Rhode Island was modeled, which includes the OTC-LEV 

program LEV implementation schedule. 

b. What QA Issues were Identified and Addressed? 

No QA issues were identified for Rhode Island. 

c. What Issues Need to be Addressed in Future Versions? 

The Rhode Island SMOKE MOBILE6 input files did not include the OXYGENATED FUELS 

command. This should have been used to fully characterize the parameters of reformulated 

gasoline that is used Statewide in Rhode Island. 

12. Vermont 

a. What Data Sources Were Used? 

Table V-13 summarizes the onroad SMOKE input files that were prepared containing 

information for the State of Vermont. This table notes the level of detail of the data included as 

well as the source of the original information used to create these data files. 

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Table V-13. Vermont Onroad Data in SMOKE Input Files 

 Final MANE-VU Version 3 SMOKE Input File Level of Detail 

Data 

Source 

VMT MANEVU_2002_mbinv_02022006.txt County/SCC VT 

Speeds MANEVU_2002_mbinv_02022006.txt Road type/vehicle 

group (light-duty vs. 

heavy-duty) 

VT 

VMT mix MANEVU_2002_vmtmix_02022006.txt County/road type VT 

Temporal 

profiles 

MANEVU_2002_mtpro_02022006.txt and 

MANEVU_2002_mtref_02022006.txt 

Monthly statewide 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mcref_02022006.txt County 

SMOKE 

MOBILE6 file 

listing 

MANEVU_2002_mvref_02022006.txt County 

Vermont submitted VMT data in the format of the NIF PE table. Vermont then provided 

updated VMT data for three road classifications (rural minor collectors, rural local roads, and 

urban local roads) in December 2004, after the time that these changes could be included in the 

MANE-VU annual onroad emission inventory. However, the updated VMT were included in the 

MANE-VU Version 3 onroad SMOKE modeling files. This VMT change resulted in a 

Statewide decrease in VMT from about 9.5 billion miles to about 7.8 billion miles. As a result, 

the SMOKE modeling performed by MANE-VU will not match the MANE-VU emission 

inventory for Vermont. The VMT data were converted to the SMOKE MBINV file format. 

VMT mix fractions were calculated from the VMT data and included in the SMOKE VMTMIX 

file. Vermont also provided information on the temporal allocation of VMT. From these data, 

Pechan prepared a monthly VMT profile for Vermont and included the data in the SMOKE 

MTPRO and MTREF files. 

Vermont provided information on Statewide speeds by roadway type. These speeds differed for 

light-duty vehicles and heavy-duty vehicles. Pechan incorporated this speed information into the 

SMOKE MBINV file. 

Vermont provided the following data that were incorporated into the monthly MOBILE6 input 

files for the SMOKE modeling: 

• Statewide registration distribution; 

• Statewide I/M program inputs; and 

• RVP data. 

The RVP data provided by Vermont were based on data from a local gasoline tank farm and 

resulted in an RVP value of 8.5 psi during the ozone season months (May through September) 

and 9.47 psi for the remaining months. Data for fuel parameters other than RVP (e.g., diesel and 

gasoline fuel sulfur content) were obtained from the NMIM national county database for 

Vermont. These values differed by season, but were consistent Statewide. Statewide diesel 

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sulfur values modeled from NMIM were 300 ppm sulfur in the summer months (June, July, and 

August), 290 ppm sulfur in the winter months (December, January, and February), and 295 ppm 

sulfur in the spring and fall months. 

The NMIM default LEV program for Vermont was modeled, which includes Vermont’s Statespecific LEV implementation schedule. 

b. What QA Issues were Identified and Addressed? 

Through the State QA report process, Vermont provided a missing registration data file, RVP 

data and revised VMT. 

c. What Issues Need to be Addressed in Future Versions? 

None identified by the State. 

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CHAPTER VI – BIOGENIC SOURCES 

A. General Methods for all States 

1. What Data Sources Were Used? 

Biogenic emissions for the time period from January 1, 2002 – December 31, 2002 were 

calculated by the New York State Department of Environmental Conservation (NYSDEC) for all 

of the MANE-VU states using the Biogenic Emissions Inventory System (BEIS) version 3.12 

integrated within SMOKE2.1. The inventory was prepared at the state-level for CO, nitrous 

oxide (NO), and VOC. 

General information about BEIS is available at http://www.epa.gov/AMD/biogen.html while 

documentation about biogenic emissions processing within SMOKE2.1 is available at 

http://cf.unc.edu/cep/empd/products/smoke/version2.1/html/ch06s10.html and 

http://cf.unc.edu/cep/empd/products/smoke/version2.1/html/ch06s17.html. Note that the 

SMOKE documentation refers to BEIS3.09 and has not yet been updated for BEIS3.12. This 

affects the number of species modeled as well as the use of different speciation profiles. 

However, the general processing approach has not changed from BEIS3.09 to BEIS3.12. In 

short, this processing approach is as follows and was utilized by NYSDEC for its biogenic 

emission processing for MANE-VU and the OTC modeling: 

• Normbeis3 reads gridded land use data and emissions factors and produces gridded 

normalized biogenic emissions for 34 species/compounds. The gridded land use file 

utilized by NYSDEC includes the fractional coverage of 230 different land use types 

for each of the 172 * 172 12-km grid cells in the MANE-VU/OTC modeling domain. 

In a separate BEIS3.12 input file, both summer and winter emissions factors for each 

species/compound are provided for each of the 230 land use types. On output, 

Normbeis3 generates a file B3GRD which contains gridded summer and winter 

emission fluxes for the modeling domain that are normalized to 30 °C and a 

photosynthetic active radiation (PAR) of 1000 μmol/m2

s. In addition, gridded 

summer and winter leaf area indices (LAI) are also written to B3GRD. 

• Tmpbeis3 reads the gridded, normalized emissions file B3GRD and meteorological 

data from the MCIP-processed MM5 meteorological fields generated by the 

University of Maryland for MANE-VU/OTC modeling. Specifically, the following 

MM5/MCIP meteorological variables are used by Tmpbeis3 to compute hourspecific, gridded biogenic emissions from the normalized emission fluxed contained 

in B3GRD: layer-1 air temperature (“TA”), layer-1 pressure (“PRES”), total 

incoming solar radiation at the surface (“RGRND”), and convective (“RC”) and nonconvective (“RN”) rainfall. Additionally, the emissions for the 34 

species/compounds modeled by BEIS3.12 are converted to CO, NO, and the CB-IV 

VOC species utilized in CMAQ via the use of the BEIS3.12-CB-IV speciation 

profile. Furthermore, an external file, BIOSEASON, was utilized to decide whether 

to use summer or winter emissions factors for any given grid cell on any given day. 

This file was generated by the SMOKE2.1 utility Metscan based on MM5 layer-1 air 

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temperatures to determine the date of the last spring frost and first fall frost at each 

grid cell. Summer emission factors are used by Tmpbeis3 for the time period 

between the day of the last spring frost and the day of the first fall frost at any given 

grid cell, and winter emission factors are used for the remaining time period. 

Documentation for the Metscan utility is available at http://cf.unc.edu/cep/empd/ 

products/smoke/version2.1/html/ch05s07.html. An animated GIF file showing the 

BIOSEASON file used by NYSDEC can be found at ftp://ftp.dec.state.ny.us/dar/ 

air_research/chogrefe/biog_reports/b3season_movie.gif. 

• For reporting purposes, the hourly, speciated, gridded emissions were aggregated to 

the county level for each day. For any given grid cell, emissions were distributed 

among the counties intersecting this grid cell in proportion to the area of each of these 

counties within the grid cell. The area gridding surrogates needed for this 

aggregation are based on a file obtained from EPA via http://www.epa.gov/ttn/ 

chief/emch/spatial/new/bgpro.2km_041604.us.gz, followed by windowing for the 

MANE-VU/OTC modeling domain. 

2. Version 3 Emissions Summary 

Table VI-1 presents a State-level summary of the annual biogenic source emissions in Version 3 

of the 2002 MANE-VU inventory. The annual emissions are based on the sum of the daily 

emissions prepared using the modeling approach previously discussed. 

Table VI-1. Version 3 2002 MANE-VU Biogenic Source 

Emissions by State (Tons/Year) 

State CO NO VOC* 

Connecticut 6,889 560 64,017 

Delaware 4,274 990 46,343 

District of Columbia 150 30 1,726 

Maine 64,936 2,018 600,205 

Maryland 18,351 2,934 210,104 

Massachusetts 11,594 1,257 113,958 

New Hampshire 14,306 482 141,894 

New Jersey 14,058 1,813 181,617 

New York 63,436 8,313 492,487 

Pennsylvania 59,946 8,646 585,272 

Rhode Island 1,764 211 19,233 

Vermont 14,745 1,142 118,377 

MANE-VU 274,451 28,396 2,575,232 

* VOC emissions were calculated by adding the emissions for the 

following pollutants: ALD2, ETH, FORM, ISOP, NR, OLE, PAR, TERB, 

TOL, XYL. 

B. State-Specific Methods 

No state-specific methods were used in Version 3 of the MANE-VU inventory for biogenic 

emissions. 

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CHAPTER VII. TEMPORAL, SPECIATION, AND SPATIAL ALLOCATION 

PROFILES AND PREPARATION OF SMOKE (IDA) AND RPO DATA 

EXCHANGE PROTOCOL (NIF 3.0) FORMATS 

Table VII-1 provides a summary of the file names and documentation used for modeling inputs 

for Version 3 of MANE-VU’s 2002 inventory for point, area, nonroad, and onroad sources. The 

final input files used for temporal allocation, speciation, and spatial allocation of emissions were 

developed for Version 1 of the 2002 inventory and delivered to MARAMA during January 2005 

(MANE-VU, 2005). These files were developed starting with the latest model input files 

available from EPA and then revised to include updates needed for the MANE-VU region or to 

add SCCs and profile assignments not included in the initial EPA data sets. The files were 

revised between September 2004 and January 2005 to incorporate comments provided by 

MANE-VU. Files in Table VII-1 with a date that is later than January 2005 were prepared to 

support modeling for Version 3. The notes column in the table identifies the modifications made 

to the files if the files were changed after this date. Otherwise, files with a date later than 

January 2005 were either provided by a state agency or were obtained from EPA and used for 

modeling Version 3. 

The remainder of this chapter provides a brief summary of the revisions made to the EPA data 

sets prepared for Version 1 of the 2002 MANE-VU inventory and subsequently carried for the 

modeling for Version 3. Sections A, B, and C of this chapter discuss how the temporal 

allocation, speciation, and spatial allocation profiles, respectively, were developed. Section D of 

this chapter describes how the emissions inventory data were prepared in the SMOKE (IDA) and 

RPO Data Exchange Protocol (NIF 3.0) Formats. 

A. Temporal Profiles 

1. Point and Area Sources 

The most recent SMOKE temporal cross-reference files available from EPA during the summer 

of 2004 were used as the starting point for developing the cross-reference files for point and area 

sources. The following 3 classes of modifications were completed to improve the temporal 

allocation input files: 

• Update temporal cross-reference to assign an existing profile in the default SMOKE 

profiles for SCCs in the MANE-VU inventory 

• Create a new temporal cross-reference to an existing profile in the default SMOKE 

profiles for SCCs in the MANE-VU inventory; the cross-reference did not previously 

exist in the default SMOKE files but the profile did exist. 

• Create new temporal profiles and cross-references for SCCs in the MANE-VU 

inventory; neither the cross-reference nor profiles for the MANE-VU SCCs 

previously existed in the default SMOKE files. 

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a. Point Sources 

A total of 30 point SCCs existed in the MANE-VU point source inventory that were not in the 

point source cross-reference file; therefore, the SCCs were added to the cross-reference file and 

assigned to existing profiles based on the assignment of similar SCCs already assigned to the 

profiles. Table II-2 lists the SCCs along with the state and county FIPS where they occurred in 

the MANE-VU inventory. Temporal profiles could not be identified for the SCCs listed in Table 

VII-3 due to either the SCC being shorter than 8-digits or the lack of information about the 

source categories for identifying an appropriate profile assignment. These SCCs were assigned 

the default profile by SMOKE. 

b. Area Sources 

For area sources, the improvements to the EPA cross-reference file included updates to existing 

profiles in the file based on MANE-VU-specific data (see Table VII-4), addition of SCCs that 

were assigned to existing profiles based on the assignment of similar SCCs already assigned to 

the profiles (see Table VII-5), and addition of new SCCs and profiles based on MANE-VU- or 

RPO-specific data (see Table VII-6). 

Additional cross-referencing information used to revise the temporal cross-reference file 

included MANE-VU county-level information for residential wood combustion, monthly 

temporal profiles developed for NH3 source categories using the Carnegie Mellon University 

(CMU) model, and a Delaware-specific cross-reference file associated with the Delaware 

inventory. The additions of new SCCs and new profiles shown in Table VII-6 mostly apply to 

the state of Delaware (State FIPS=10). For the FIPS column, the “-9” designation means the 

cross-reference is applied for all counties that do not have a county or state-specific SCC crossreference record. These changes to the temporal cross-reference file allowed for the assignment 

of a non-flat temporal profile (262= uniform monthly, 7=uniform weekly and 24=uniform 

diurnal) to 95% of the SCCs in the area inventory. 

2. Nonroad Sources 

Nonroad sources used the same temporal profile and cross-reference files as area sources. 

3. Onroad Sources 

For onroad sources, the following States provided their own data to update the default temporal 

profile files and the temporal cross reference files: Connecticut, Delaware, Maryland, 

Massachusetts, New Jersey, New York, Pennsylvania, and Vermont. Each of these States 

provided VMT information that could be used to develop monthly temporal profiles. The data 

were provided in a variety of formats, ranging from monthly or seasonal VMT to SMOKEformatted monthly VMT temporal profiles. Where necessary, the monthly or seasonal VMT 

data were converted into the SMOKE monthly temporal profile format. In addition, New Jersey 

provided information for diurnal temporal profiles. However, the level of detail or variability 

provided in these monthly profiles varied by State. Connecticut’s and Delaware’s profiles each 

varied by county and road type. Maryland’s profiles applied Statewide, with variability in the 

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profiles by road type. Massachusetts’ profiles varied by county, road type, and vehicle type. 

Both New Jersey and New York provided information for three monthly temporal profiles, each 

used throughout one of the three county groups in each State. The Pennsylvania profiles varied 

by county, but not by road type. Vermont provided information for a single monthly temporal 

profile to be used throughout the State. 

B. Speciation Profiles 

1. Point and Area Sources 

The most recent SMOKE speciation cross-reference files available from EPA during the summer 

of 2004 were used as the starting point for developing the cross-reference files for point and area 

sources. These files were revised to complete SCC assignments for the Carbon Bond IV (CBIV) with PM mechanism for point and area sources. In addition, sulfur tagging species were 

added to the REMSAD7 CB-IV with PM mechanism (see Table VII-1). 

a. Point Sources 

Thirty-one SCCs in the MANE-VU point source inventory did not have chemical speciation 

profile assignments for the CB-IV with PM mechanism in the default SMOKE chemical crossreference file. For 10 of the SCCs, assignments for VOC and PM2.5 were added to the speciation 

cross-reference file based on the speciation profile codes assigned to similar SCCs. Table VII-7 

shows the SCCs where an SCC speciation cross-reference record was added, the VOC and PM2.5

speciation profile code assigned, and the method used to assign the profiles. Assignments were 

not completed for the remaining 21 point source SCCs because of a lack of information on the 

emission sources needed to complete the assignments (see Table VII-8 for the list of the SCCs). 

b. Area Sources 

Speciation profile assignments were completed for many area source SCCs for the CB-IV with 

PM mechanism and were documented in separate spreadsheet files provided to MARAMA 

during September 2004. Assignments for VOC and PM2.5 were added to the speciation crossreference file based on the speciation profile codes assigned to similar SCCs. Note that the 

transport fractions for fugitive dust were applied as a part of the modeling effort to adjust the 

mass emissions in Version 3 of the inventory. 

2. Nonroad Sources 

No updates to the speciation profiles or speciation assignments for nonroad sources were 

provided by the MANE-VU States. 

3. Onroad Sources 

No updates to the speciation profiles or speciation assignments for onroad sources were provided 

by the MANE-VU States. 

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C. Spatial Allocation Profiles 

The most recent spatial profile data files available from EPA during the summer of 2004 were 

used as the starting point for developing the spatial profile file for point and area sources. A 

detailed description of this surrogate dataset was provided in a file named “surrogate_ 

documentation_workbook052804.xls” from EPA’s website at: http://www.epa.gov/ttn/ 

chief/emch/spatial/newsurrogate.html. Many SCCs in the MANE-VU inventory did not have 

surrogate assignments in the default SMOKE gridding cross-reference file. About 200 SCC 

assignments were added to the gridding cross-reference file. The assignments were based on 

matching surrogate descriptions from the EPA99 surrogate data with the SCC descriptions. 

No updates to the spatial allocation files for nonroad and onroad sources were provided by the 

MANE-VU States. 

D. Preparation of SMOKE (IDA) and RPO Data Exchange Protocol (NIF 3.0) 

Formats 

Table VII-9 identifies the mass emissions and SMOKE input files for Version 3 of the 

MANE-VU point, area, nonroad, and onroad inventories. 

The SMOKE input file format contains one field for storing daily emissions for each pollutant. 

The area source inventory contains summer day, winter day, and average day emissions 

depending on the state and source category. Thus, two sets of SMOKE input files were prepared 

for the area source inventory. One file contains annual, summer day, and average day emissions 

and the other file contains annual, winter day, and average day emissions. If summer day and 

average day emissions were provided for the same process and pollutant in the inventory, the 

summer day value was included in the SMOKE input file. If winter day and average day 

emissions were provided for the same process and pollutant in the inventory, the winter day 

value was included in the SMOKE input file. 

The point source inventory contains summer day and winter day emissions. Two sets of 

SMOKE input files were prepared for point sources as well (one file containing annual and 

summer day emissions and the other containing annual and winter day emissions). 

Table VII-10 provides the unique list of the start date, end date, and emission type combinations 

for daily emissions in the point and area source inventories that were used to define summer, 

winter, and average day emissions. This table also shows the names of the SMOKE input files in 

which the emissions are included. 

For onroad sources, daily emissions were calculated by SMOKE using the monthly MOBILE6 

input files included in the SMOKE input files. 

The nonroad IDA file only has annual total emissions. The values in the “typical day” column 

are zero. Annual total emissions were allocated for each hour using the monthly, weekly, and 

diurnal profiles described in Section A.2 of this chapter. 

Appendix G Att. 13a - Page Number

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C-123 

Table VII-1. Profiles, Cross-references, and Documentation for Model Inputs 

for Version 3 of 2002 MANE-VU Inventory 

Description File Name Format 

Date of 

File used 

for 

Version 3 

Size 

(Bytes) 

SCC descriptions file scc_desc_manevu.083104.txt SMOKE 8/31/2004 1,335,524 Temporal Allocation ProfilesTechnical memo on profile/cross-reference review for area sources 

MANE-VU_AreaEI_review_draft_090304.doc MS 

Word 

9/3/2004 760,320 

Technical memo on profile/cross-reference review for point sources 

MANE-VU_PointEI_review_draft_090304.doc MS 

Word 

9/3/2004 262,144 

Temporal profile crossreference file for point sources 

amptref.m3.manevu.vistascem.032805.txt SMOKE 3/28/2005 704,998 Based on "amptref.m3.

Version 1, but added Vthe state-specific 2002 (CEM)-derived point soby VISTAS for their Ba

Temporal profiles file for point sources 

amptpro.m3.us+can.manevu.vistascem.032805.txt SMOKE 3/28/2005 178,427 Based on "amptpro.m3

prepared for Version 1

CEM-derived point souVISTAS for their BaseD 

Temporal profile crossreference file for area sources 

amptref.m3.manevu.012405.txt SMOKE 1/24/2005 687,196 

Temporal profiles file for area sources 

amptpro.m3.us+can.manevu.030205.txt SMOKE 3/2/2005 136,131 

Temporal crossreference file containing state-specific onroad mobile source data for Connecticut, Delaware, Maryland, Massachusetts, New Jersey, New York, Pennsylvania, and Vermont 

MANEVU_2002_mtref_02022006_addCT.txt SMOKE 2/22/2006 2,522,013 Data for Connecticut w

was prepared for the o“_addCT” is included a

Appen
Table VII-1 (continued) 

124

Description File Name Format 

Date of 

File used 

for 

Version 3 

Size 

(Bytes) 

Temporal profiles file containing state-specific onroad mobile source data for Connecticut, Delaware, Maryland, Massachusetts, New Jersey, New York, Pennsylvania, and Vermont 

MANEVU_2002_mtpro_02022006_addCT.txt SMOKE 2/22/2006 23,122 Data for Connecticut w

was prepared for the o“_addCT” is included a

Spatial/GriddingSpreadsheet summary generated for area source gridding review 

MANE-VU_agref_review.xls 8/31/2004 1,607,680 

Spatial profile crossreference file amgref.m3.us+can+mex.manevu.082404.txt SMOKE 8/31/2004 89,860 Gridding surrogate cross-reference file 

amgref_us_051704_manevu_added SMOKE 5/17/2004 35,825 Based on the surrogate 

from the EPA/CHIEF s

surrogates file. Howevadditions included in "amgref.m3.us+can+m1 were added to the grdownloaded from EPA

SCCs 2806010000, 282870000015, 2870000

Modeling grid (12-km) amgpro.12km_041604.otc12.us.txt SMOKE 4/16/2004 150,689,358 Based on downloaded 

windowed for the OTC 

Speciation ProfilesSpreadsheet summary generated for area source speciation review 

MANE-VU_asref_review.xls Excel 8/31/2004 5,626,880 

Speciation profiles file for CB-IV 

gspro.cmaq.cb4p25.txt SMOKE 142,255 

Speciation crossreference file for CB-IV gsref.cmaq.cb4p25.manevu.083104.txt SMOKE 8/31/2004 786,998 

Appen
Table VII-1 (continued) 

125

Description File Name Format 

Date of 

File used 

for 

Version 3 

Size 

(Bytes) 

Speciation profile crossreference assignment file 

gsref.cmaq.cb4p25.txt SMOKE 2/1/2005 754,302 This file is based on the 

"gsref.cmaq.cb4p25.maversion 1 of the MANEwas to change the PM2default 99999 to 35501 categories. This updatCENRAP or VISTAS in provided and the updatthan the MANE-VU fileappeared to be a refine

Speciation profiles for REMSAD7 

gspro.remsad7.cb4mpm.txt_tag SMOKE 5/1/2005 532,990 Based on "gspro.remsa

but added tagged spectagging. 

Speciation crossreference for REMSAD7 gsref.remsad7.cb4mpm.txt_tag SMOKE 5/1/2005 2,614,360 Based on "gsref.remsa

but added tagged specsulfur tagging. 

Transport fractions for fugitive dust 

gcntl.xportfrac.txt SMOKE 2/1/2004 124,495 File obtained from inpu

transport for modeling (CAIR). 

Appen
C-126 

Table VII-2. Point Source Temporal Cross-reference Additions 

Recommended profiles 

State FIPS SCC Monthly Weekly Diurnal Method of assignment 

SCC Description (Complete 

availab

VT 50005 10200908 262 7 24 Use SCC=102009XX profiles External Combustion Boilers;Ind

Waste;Wood-fired Boiler - Dry W

VT 50019 10200908 262 7 24 Use SCC=102009XX profiles External Combustion Boilers;Ind

Waste;Wood-fired Boiler - Dry W

VT 50021 10200908 262 7 24 Use SCC=102009XX profiles External Combustion Boilers;Ind

Waste;Wood-fired Boiler - Dry W

VT 50017 10300908 262 7 24 Use SCC=103009XX profiles External Combustion 

Boilers;Commercial/Institutional;fired Boiler - Dry Wood (<20% m

PA 42009 20200299 262 7 24 Use SCC=202002XX profiles Internal Combustion Engines;Ind

Gas;Unknown 

PA 42029 20200299 262 7 24 Use SCC=202002XX profiles Internal Combustion Engines;Ind

Gas;Unknown 

PA 42045 20200299 262 7 24 Use SCC=202002XX profiles Internal Combustion Engines;Ind

Gas;Unknown 

PA 42061 20200299 262 7 24 Use SCC=202002XX profiles Internal Combustion Engines;Ind

Gas;Unknown 

PA 42067 20200299 262 7 24 Use SCC=202002XX profiles Internal Combustion Engines;Ind

Gas;Unknown 

PA 42015 20300299 262 7 24 Use SCC=203002XX profiles Internal Combustion 

Engines;Commercial/Institutiona

PA 42029 20300299 262 7 24 Use SCC=203002XX profiles Internal Combustion 

Engines;Commercial/Institutiona

PA 42037 20300299 262 7 24 Use SCC=203002XX profiles Internal Combustion 

Engines;Commercial/Institutiona

PA 42071 20300299 262 7 24 Use SCC=203002XX profiles Internal Combustion 

Engines;Commercial/Institutiona

PA 42011 28888899 262 7 24 Use SCC=288888XX profiles Internal Combustion Engines;Fu

Classified;Specify in Comments 

PA 42123 28888899 262 7 24 Use SCC=288888XX profiles Internal Combustion Engines;Fu

Classified;Specify in Comments 

PA 42123 28888899 262 7 24 Use SCC=288888XX profiles Internal Combustion Engines;Fu

Classified;Specify in Comments 

PA 42129 28888899 262 7 24 Use SCC=288888XX profiles Internal Combustion Engines;Fu

Classified;Specify in Comments 

MD 24031 30500261 262 7 24 Use SCC=30500260 profile Industrial Processes;Mineral Pro

Concrete;Drum Mix Plant: RotarWaste/Drain/#6 Oil-Fired 

Appen
Table VII-2 (continued) 

127

Recommended profiles 

State FIPS SCC Monthly Weekly Diurnal Method of assignment 

SCC Description (Complete 

availab

NY 36055 31603001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacPreparation;Extrusion Operation

NY 36055 31603002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacPreparation;Film Support Opera

NY 36055 31604001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacPreparation;Chemical Manufactu

NY 36055 31604002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacPreparation;Emulsion Making O

NY 36055 31604003 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacPreparation;Chemical Mixing Op

NY 36055 31605001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacTreatments;Surface Coating Op

NY 36055 31605002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacTreatments;Grid Ionizers 

NY 36055 31605003 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacTreatments;Corona Discharge T

NY 36055 31606001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacOperations;General Film Manufa

NY 36055 31606002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacOperations;Cutting/Slitting Oper

PA 42101 31606002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Product ManufacOperations;Cutting/Slitting Oper

NY 36055 31612001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Cleaning Operations 

NY 36055 31612002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;General Cleaning Op

NY 36055 31613002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;General Storage Op

Appen
Table VII-2 (continued) 

128

Recommended profiles 

State FIPS SCC Monthly Weekly Diurnal Method of assignment 

SCC Description (Complete 

availab

NY 36055 31614001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;Filling Operations (n

NY 36055 31614002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;Transfer of Chemica

NY 36055 31615001 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Processes;Recovery Operations 

NY 36055 31615003 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Processes;Distillation Operation

NY 36055 31616002 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Process Tank Operations 

NY 36055 31616003 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;Miscellaneous Manu

NY 36055 31616004 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Spraying Operations 

NY 36055 31616006 262 7 24 Use SIC=3861 and SIC=2796 as 

guidance and evaluate specific sources 

Industrial Processes;PhotographManufacturing;Support Activities Operations;Chemical Weighing O

PA Numerous 

counties 

39000698 262 7 24 Use SCC=39000699 profile Industrial Processes;In-process 

Gas;Unknown 

NJ Numerous 

counties 

39999901 262 7 24 Use SCC=399999XX profiles Industrial Processes;Miscellaneo

Industries;Miscellaneous Industr

PA 42015 40202598 266 7 16 Use SCC=40202599 profile Petroleum and Solvent Evapora

Operations;Miscellaneous Metal 

PA 42017 40202598 266 7 16 Use SCC=40202599 profile Petroleum and Solvent Evapora

Operations;Miscellaneous Metal 

PA 42091 40202598 266 7 16 Use SCC=40202599 profile Petroleum and Solvent Evapora

Operations;Miscellaneous Metal 

PA 42095 40202598 266 7 16 Use SCC=40202599 profile Petroleum and Solvent Evapora

Operations;Miscellaneous Metal 

PA 42097 40202598 266 7 16 Use SCC=40202599 profile Petroleum and Solvent Evapora

Operations;Miscellaneous Metal 

PA 42013 40400299 262 7 24 Use SCC=404002XX profiles Petroleum and Solvent Evapora

Storage (non-Refinery);Bulk Pla

PA 42041 40400299 262 7 24 Use SCC=404002XX profiles Petroleum and Solvent Evapora

Storage (non-Refinery);Bulk Pla

Appen
Table VII-2 (continued) 

129

Recommended profiles 

State FIPS SCC Monthly Weekly Diurnal Method of assignment 

SCC Description (Complete 

availab

PA 42045 40400299 262 7 24 Use SCC=404002XX profiles Petroleum and Solvent Evapora

Storage (non-Refinery);Bulk Pla

PA 42071 40400299 262 7 24 Use SCC=404002XX profiles Petroleum and Solvent Evapora

Storage (non-Refinery);Bulk Pla

Appen
C-130 

Table VII-3. Unknown SCCs in the MANE-VU Point Source Inventory 

State FIPS SCC Description 

PA 42101 24950002 Need more info: Unknown SCC 

PA 42061 40500299 Need more info:Printing/Publishing; General 

PA 42091 40500299 Need more info:Printing/Publishing; General 

PA 42133 40500299 Need more info:Printing/Publishing; General 

Appendix G Att. 13a - Page Number

140
C-131 

Table VII-4. Area Source Temporal Cross-Reference Updates 

SMOKE Default profile New 

SCC SCC description Monthly Weekly Diurnal Monthly 

30502713 Industrial Processes;Mineral Products;Industrial Sand 

and Gravel;Screening: Size Classification 

262 7 24 262 

30502760 Industrial Processes;Mineral Products;Industrial Sand 

and Gravel;Sand Handling, Transfer, and Storage 

262 7 24 262 

2302000000 Industrial Processes;Food and Kindred Products: SIC 

20;All Processes;Total 

262 7 26 262 

2302050000 Industrial Processes;Food and Kindred Products: SIC 

20;Bakery Products;Total 

262 7 26 262 

2305000000 Industrial Processes;Mineral Processes: SIC 32;All 

Processes;Total 

262 7 26 262 

2309100010 Industrial Processes;Fabricated Metals: SIC 34;Coating, 

Engraving, and Allied Services;Electroplating 

262 7 26 262 

2311010000 Industrial Processes;Construction: SIC 15 - 17;General 

Building Construction;Total 

262 7 26 262 

2311020000 Industrial Processes;Construction: SIC 15 - 17;Heavy 

Construction;Total 

262 7 26 262 

2311030000 Industrial Processes;Construction: SIC 15 - 17;Road 

Construction;Total 

262 7 26 262 

2325000000 Industrial Processes;Mining and Quarrying: SIC 14;All 

Processes;Total 

262 7 26 262 

2399000000 Industrial Processes;Industrial Processes: NEC;Industrial 

Processes: NEC;Total 

262 7 26 262 

2399010000 Industrial Processes; Industrial 

Refrigeration; Refrigerant Losses; All Processes 

262 7 26 262 

2401015000 Solvent Utilization;Surface Coating;Factory Finished 

Wood: SIC 2426 thru 242;Total: All Solvent Types 

173 7 26 173 

2401020000 Solvent Utilization;Surface Coating;Wood Furniture: SIC 

25;Total: All Solvent Types 

287 7 26 287 

2401025000 Solvent Utilization;Surface Coating;Metal Furniture: SIC 

25;Total: All Solvent Types 

287 7 26 287 

2401030000 Solvent Utilization;Surface Coating;Paper: SIC 26;Total: 

All Solvent Types 

257 7 26 257 

2401040000 Solvent Utilization;Surface Coating;Metal Cans: SIC 

341;Total: All Solvent Types 

253 7 26 253 

2401045000 Solvent Utilization;Surface Coating;Metal Coils: SIC 

3498;Total: All Solvent Types 

253 7 26 253 

2401050000 Solvent Utilization;Surface Coating;Miscellaneous 

Finished Metals: SIC 34 - (341 + 3498);Total: All Solvent Types 

253 7 26 253 

Appen
Table VII-4 (continued) 

132

SMOKE Default profile New 

SCC SCC description Monthly Weekly Diurnal Monthly 

2401055000 Solvent Utilization;Surface Coating;Machinery and 

Equipment: SIC 35;Total: All Solvent Types 

253 7 26 253 

2401060000 Solvent Utilization;Surface Coating;Large Appliances: 

SIC 363;Total: All Solvent Types 

262 7 26 262 

2401065000 Solvent Utilization;Surface Coating;Electronic and Other 

Electrical: SIC 36 - 363;Total: All Solvent Types 

253 7 26 253 

2401070000 Solvent Utilization;Surface Coating;Motor Vehicles: SIC 

371;Total: All Solvent Types 

140 7 26 140 

2401075000 Solvent Utilization;Surface Coating;Aircraft: SIC 

372;Total: All Solvent Types 

169 7 26 169 

2401080000 Solvent Utilization;Surface Coating;Marine: SIC 

373;Total: All Solvent Types 

266 7 26 266 

2401085000 Solvent Utilization;Surface Coating;Railroad: SIC 

374;Total: All Solvent Types 

169 7 26 169 

2401090000 Solvent Utilization;Surface Coating;Miscellaneous 

Manufacturing;Total: All Solvent Types 

260 7 26 260 

2401090999 Solvent Utilization;Surface Coating;Miscellaneous 

Manufacturing;Solvents: NEC 

260 7 26 260 

2401200000 Solvent Utilization;Surface Coating;Other Special 

Purpose Coatings;Total: All Solvent Types 

260 7 26 260 

2401990000 Solvent Utilization;Surface Coating;All Surface Coating 

Categories;Total: All Solvent Types 

260 7 26 260 

2401990999 Solvent Utilization;Surface Coating;All Surface Coating 

Categories;Solvents: NEC 

260 7 26 260 

2415000000 Solvent Utilization;Degreasing;All Processes/All 

Industries;Total: All Solvent Types 

253 7 26 253 

2415020000 Solvent Utilization;Degreasing;Fabricated Metal Products 

(SIC 34): All Processes;Total: All Solvent Types 

253 7 26 253 

2415025000 Solvent Utilization;Degreasing;Industrial Machinery and 

Equipment (SIC 35): All Processes;Total: All Solvent Types 

253 7 26 253 

2415030000 Solvent Utilization;Degreasing;Electronic and Other Elec. 

(SIC 36): All Processes;Total: All Solvent Types 

253 7 26 253 

2415035000 Solvent Utilization;Degreasing;Transportation Equipment 

(SIC 37): All Processes;Total: All Solvent Types 

253 7 26 253 

2415045000 Solvent Utilization;Degreasing;Miscellaneous 

Manufacturing (SIC 39): All Processes;Total: All Solvent Types 

253 7 26 253 

2415055000 Solvent Utilization;Degreasing;Automotive Dealers (SIC 

55): All Processes;Total: All Solvent Types 

253 7 26 253 

2415060000 Solvent Utilization;Degreasing;Miscellaneous Repair 

Services (SIC 76): All Processes;Total: All Solvent Types 

253 7 26 253 

Appen
Table VII-4 (continued) 

133

SMOKE Default profile New 

SCC SCC description Monthly Weekly Diurnal Monthly 

2415065000 Solvent Utilization;Degreasing;Auto Repair Services (SIC 

75): All Processes;Total: All Solvent Types 

253 7 26 253 

2415100000 Solvent Utilization;Degreasing;All Industries: Open Top 

Degreasing;Total: All Solvent Types 

253 7 26 253 

2415105000 Solvent Utilization;Degreasing;Furniture and Fixtures 

(SIC 25): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415110000 Solvent Utilization;Degreasing;Primary Metal Industries 

(SIC 33): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415120000 Solvent Utilization;Degreasing;Fabricated Metal Products 

(SIC 34): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415125000 Solvent Utilization;Degreasing;Industrial Machinery and 

Equipment (SIC 35): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415130000 Solvent Utilization;Degreasing;Electronic and Other Elec. 

(SIC 36): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415135000 Solvent Utilization;Degreasing;Transportation Equipment 

(SIC 37): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415140000 Solvent Utilization;Degreasing;Instruments and Related 

Products (SIC 38): Open Top Degreasing;Total: All Solvent Types 

253 7 26 253 

2415145000 Solvent Utilization;Degreasing;Miscellaneous 

Manufacturing (SIC 39): Open Top Degreasing;Total: All 

Solvent Types 

253 7 26 253 

2415200000 Solvent Utilization;Degreasing;All Industries: 

Conveyerized Degreasing;Total: All Solvent Types 

253 7 26 253 

2415230000 Solvent Utilization;Degreasing;Electronic and Other Elec. 

(SIC 36): Conveyerized Degreasing;Total: All Solvent Types 

253 7 26 253 

2415300000 Solvent Utilization;Degreasing;All Industries: Cold 

Cleaning;Total: All Solvent Types 

253 7 26 253 

2415305000 Solvent Utilization;Degreasing;Furniture and Fixtures 

(SIC 25): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415310000 Solvent Utilization;Degreasing;Primary Metal Industries 

(SIC 33): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415320000 Solvent Utilization;Degreasing;Fabricated Metal Products 

(SIC 34): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415325000 Solvent Utilization;Degreasing;Industrial Machinery and 

Equipment (SIC 35): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415330000 Solvent Utilization;Degreasing;Electronic and Other Elec. 

(SIC 36): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

Appen
Table VII-4 (continued) 

134

SMOKE Default profile New 

SCC SCC description Monthly Weekly Diurnal Monthly 

2415335000 Solvent Utilization;Degreasing;Transportation Equipment 

(SIC 37): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415340000 Solvent Utilization;Degreasing;Instruments and Related 

Products (SIC 38): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415345000 Solvent Utilization;Degreasing;Miscellaneous 

Manufacturing (SIC 39): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415355000 Solvent Utilization;Degreasing;Automotive Dealers (SIC 

55): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415360000 Solvent Utilization;Degreasing;Auto Repair Services (SIC 

75): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2415365000 Solvent Utilization;Degreasing;Miscellaneous Repair 

Services (SIC 76): Cold Cleaning;Total: All Solvent Types 

253 7 26 253 

2425000000 Solvent Utilization;Graphic Arts;All Processes;Total: All 

Solvent Types 

257 7 26 257 

2425010000 Solvent Utilization;Graphic Arts;Lithography;Total: All 

Solvent Types 

257 7 26 257 

2425020000 Solvent Utilization;Graphic Arts;Letterpress;Total: All 

Solvent Types 

257 7 26 257 

2425030000 Solvent Utilization;Graphic Arts;Rotogravure;Total: All 

Solvent Types 

262 7 26 262 

2425040000 Solvent Utilization;Graphic Arts;Flexography;Total: All 

Solvent Types 

257 7 26 257 

2430000000 Solvent Utilization;Rubber/Plastics;All Processes;Total: 

All Solvent Types 

200 7 26 200 

2601010000 Waste Disposal, Treatment, and Recovery;On-site 

Incineration;Industrial;Total 

262 7 26 262 

2601020000 Waste Disposal, Treatment, and Recovery;On-site 

Incineration;Commercial/Institutional;Total 

262 7 26 262 

2610010000 Waste Disposal, Treatment, and Recovery;Open 

Burning;Industrial;Total 

262 7 26 262 

2610020000 Waste Disposal, Treatment, and Recovery;Open 

Burning;Commercial/Institutional;Total 

262 7 26 262 

2805020000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Cattle and Calves Waste Emissions;Total 

489 7 26 1500 

2805025000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Hogs and Pigs Waste Emissions;Total 

489 7 26 1500 

2805030000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Total 

489 7 26 1500 

Appen
Table VII-4 (continued) 

135

SMOKE Default profile New 

SCC SCC description Monthly Weekly Diurnal Monthly 

2805035000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Horses and Ponies Waste Emissions;Total 

262 7 26 1500 

2805040000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Sheep and Lambs Waste Emissions;Total 

489 7 26 1500 

2805045001 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Goats Waste Emissions;Total 

489 7 26 262 

2810015000 Miscellaneous Area Sources;Other 

Combustion;Prescribed Burning for Forest Management;Total 

14 7 24 3 

Appen
C-136 

Table VII-5. Area Source Temporal Cross-Reference Additions 

 SCC Description Month Week Diurnal 

2104008002 

Stationary Source Fuel 

Combustion;Residential;Wood;Fireplaces: Insert; 

non-EPA certified 

485 7 26 

2104008003 

Stationary Source Fuel 

Combustion;Residential;Wood;Fireplaces: Insert; 

EPA certified; non-catalytic 

485 7 26 

2104008004 

Stationary Source Fuel 

Combustion;Residential;Wood;Fireplaces: Insert; 

EPA certified; catalytic 

485 7 26 

2302002100 

Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Conveyorized 

Charbroiling 

262 7 26 

2302002200 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Under-fired Charbroiling 262 7 26 

2302003000 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Total 262 7 26 

2302003100 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Flat Griddle Frying 262 7 26 

2302003200 

Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Clamshell Griddle 

Frying 

262 7 26 

2302080002 

Industrial Processes;Food and Kindred Products: SIC 

20;Miscellaneous Food and Kindred 

Products;Refrigeration 

262 7 26 

2401002000 Solvent Utilization;Surface Coating;Architectural 

Coatings - Solvent-based;Total: All Solvent Types 467 7 26 

2401003000 Solvent Utilization;Surface Coating;Architectural 

Coatings - Water-based;Total: All Solvent Types 467 7 26 

2401102000 

Solvent Utilization;Surface Coating;Industrial 

Maintenance Coatings-Solvent-based;Total: All 

Solvent Types 

500 5 26 

2401103000 

Solvent Utilization;Surface Coating;Industrial 

Maintenance Coatings-Water-based;Total: All Solvent 

Types 

500 5 26 

2415270000 

Solvent Utilization;Degreasing;All Manufacturing 

(except SIC 36): Vapor and In-Line Cleaning;Total: All 

Solvent Types 

253 5 12 

2415280000 

Solvent Utilization;Degreasing;Electronic and Other 

Elec. (SIC 36): Vapor and In-Line Cleaning;Total: All 

Solvent Types 

253 5 12 

2415370000 

Solvent Utilization;Degreasing;Transportation 

Equipment Repair Services: Cold Cleaning;Total: All 

Solvent Types 

253 5 12 

2415380000 Solvent Utilization;Degreasing;All Manufacturing: 

Cold Cleaning;Total: All Solvent Types 253 5 12 

2610000400 

Waste Disposal, Treatment, and Recovery;Open 

Burning;All Categories;Yard Waste - Brush Species 

Unspecified 

262 7 26 

2610000500 

Waste Disposal, Treatment, and Recovery;Open 

Burning;All Categories;Land Clearing Debris (use 28-

10-005-000 for Logging Debris Burning) 

262 7 26 

2610040400 

Waste Disposal, Treatment, and Recovery;Open 

Burning;Municipal (collected from residences, 

parks,other for central burn);Yard Waste - Total 

262 7 26 

2630020010 

Waste Disposal, Treatment, and 

Recovery;Wastewater Treatment;Public 

Owned;Wastewater Treatment Processes Total 

262 7 24 

Appendix G Att. 13a - Page Number

146
Table VII-5 (continued) 

137

SCC Description Month Week Diurnal 

2630020020 

Waste Disposal, Treatment, and 

Recovery;Wastewater Treatment;Public 

Owned;Biosolids Processes Total 

262 7 24 

2630020030 

Waste Disposal, Treatment, and 

Recovery;Wastewater Treatment;Public Owned;Land 

Application - Digested Sludge 

262 7 24 

2630050000 

Waste Disposal, Treatment, and 

Recovery;Wastewater Treatment;Public Owned;Land 

Application - Digested Sludge 

262 7 24 

2680001000 

Waste Disposal, Treatment, and 

Recovery;Composting;100% Biosolids (e.g., sewage 

sludge, manure, mixtures of these matls);All 

Processes 

262 7 26 

2680002000 

Waste Disposal, Treatment, and 

Recovery;Composting;Mixed Waste (e.g., a 50:50 

mixture of biosolids and green wastes);All Processes 

262 7 26 

2801700011 

Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Calcium Ammonium 

Nitrate 

998 7 26 

2801700012 Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Potassium Nitrate 998 7 26 

2801700013 Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Diammonium Phosphate 998 7 26 

2801700014 

Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Monoammonium 

Phosphate 

998 7 26 

2801700015 

Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Liquid Ammonium 

Polyphosphate 

998 7 26 

2801700099 Miscellaneous Area Sources;Agriculture Production - 

Crops;Fertilizer Application;Miscellaneous Fertilizers 998 7 26 

2805001100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on 

feedlots (drylots);Confinement 

1500 7 26 

2805001200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on 

feedlots (drylots);Manure handling and storage 

1500 7 26 

2805001300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on 

feedlots (drylots);Land application of manure 

1500 7 26 

2805002000 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef Cattle Composite; Not Elsewhere 

Classified 

1500 7 26 

2805003100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on 

pasture/range;Confinement 

1500 7 26 

2805007100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with dry manure 

management systems;Confinement 

1500 7 26 

2805007200 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with dry manure 

management systems;Management 

1500 7 26 

2805007300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with dry manure 

management systems;Land application of manure 

262 7 24 

2805007330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with dry manure 

management systems; Land application 

1500 7 26 

2805007340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with dry manure 

management systems; Land application 

1500 7 26 

Appendix G Att. 13a - Page Number

147
Table VII-5 (continued) 

138

SCC Description Month Week Diurnal 

2805008100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with wet manure 

management systems;Confinement 

1500 7 26 

2805008200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with wet manure 

management systems;Manure handling and storage 

1500 7 26 

2805008300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with wet manure 

management systems;Land application of manure 

1500 7 26 

2805009100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - broilers;Confinement 1500 7 26 

2805009300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - broilers;Land 

application of manure 

1500 7 26 

2805010100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - turkeys;Confinement 262 7 24 

2805010200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - turkeys;Manure 

handling and storage 

262 7 24 

2805010300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - turkeys;Land 

application of manure 

1500 7 26 

2805018000 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle composite; Not Elsewhere 

Classified 

1501 7 26 

2805019100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Confinement 1500 7 26 

2805019200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Manure handling 

and storage 

1500 7 26 

2805019300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Land application of 

manure 

1500 7 26 

2805020001 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Cattle and Calves Waste Emissions;Milk 

Cows 

1500 7 26 

2805020002 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Cattle and Calves Waste Emissions;Beef 

Cows 

1500 7 26 

2805020003 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Cattle and Calves Waste Emissions;Heifers 

and Heifer Calves 

1500 7 26 

2805021300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - scrape dairy;Land application 

of manure 

1500 7 26 

2805022100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - deep pit dairy;Confinement 1500 7 26 

2805022200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - deep pit dairy;Manure 

handling and storage 

1500 7 26 

2805022300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - deep pit dairy;Land 

application of manure 

1500 7 26 

2805023300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - drylot/pasture dairy;Land 

application of manure 

1500 7 26 

2805030001 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Pullet Chicks and 

Pullets less than 13 weeks old 

1500 7 26 

Appendix G Att. 13a - Page Number

148
Table VII-5 (continued) 

139

SCC Description Month Week Diurnal 

2805030002 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Pullets 13 weeks 

old and older but less than 20 weeks 

1500 7 26 

2805030003 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Layers 1500 7 26 

2805030004 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Broilers 1500 7 26 

2805030008 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry Waste Emissions;Geese 1500 7 26 

2805039100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with 

lagoons;Confinement 

1500 7 26 

2805039200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with 

lagoons;Manure handling and storage 

1500 7 26 

2805039300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with 

lagoons;Land application of manure 

1500 7 26 

2805045000 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Goats Waste Emissions;Not Elsewhere 

Classified 

1500 7 26 

2805045002 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Goats Waste Emissions;Angora Goats 1500 7 26 

2805045003 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Goats Waste Emissions;Milk Goats 1500 7 26 

2805047100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - deep-pit house 

operations;Confinement 

1500 7 26 

2805047300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - deep-pit house 

operations;Land application of manure 

1500 7 26 

2805053100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - outdoor operations; 

Confinement 

1500 7 26 

2805054000 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;"Mules; Donkeys; and Burros Waste 

Emissions";Not Elsewhere Classified 

262 7 24 

2806010000 Miscellaneous Area Sources;Domestic Animals 

Waste Emissions;Cats;Total 262 7 24 

2806015000 Miscellaneous Area Sources;Domestic Animals 

Waste Emissions;Dogs;Total 262 7 24 

2807020001 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Bears;Black Bears 262 7 26 

2807020002 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Bears;Grizzly Bears 262 7 26 

2807025000 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Elk;Total 262 7 26 

2807030000 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Deer;Total 262 7 26 

2807040000 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Birds;Total 262 7 26 

2810060100 Miscellaneous Area Sources;Other 

Combustion;Cremation;Humans 262 7 24 

2870000001 Miscellaneous Area Sources;Humans;Respiration 

and Perspiration;Total 262 7 24 

2870000002 Miscellaneous Area Sources;Humans;Infant Diapered 

Waste;Total 262 7 24 

2870000011 Miscellaneous Area Sources;Domestic 

Activity;Household Products;Total 262 7 24 

Appendix G Att. 13a - Page Number

149
Table VII-5 (continued) 

140

SCC Description Month Week Diurnal 

2870000015 Miscellaneous Area Sources;Domestic Activity;Nonagricultural Fertilizers;Total 3 7 24 

2870000021 Miscellaneous Area Sources;Domestic 

Animals;Dogs;Total 262 7 24 

2870000022 Miscellaneous Area Sources;Domestic 

Animals;Cats;Total 262 7 24 

2870000031 Miscellaneous Area Sources;Wild Animals;Deer;Total 262 7 24 

Appendix G Att. 13a - Page Number

150
C-141 

Table VII-6. Area Source Temporal Cross-Reference and Profile Additions 

for the MANE-VU Inventory 

SCC Description Month Week Diurnal FIPS 

2102002000 

Stationary Source Fuel 

Combustion;Industrial;Bituminous/Subbituminous Coal;Total: 

All Boiler Types 

1726 8 26 10000 

2102006000 Stationary Source Fuel Combustion;Industrial;Natural 

Gas;Total: Boilers and IC Engines 

1727 8 26 10000 

2102007000 Stationary Source Fuel Combustion;Industrial;Liquified 

Petroleum Gas (LPG);Total: All Boiler Types 

1727 8 26 10000 

2103001000 

Stationary Source Fuel 

Combustion;Commercial/Institutional;Anthracite Coal;Total: 

All Boiler Types 

1720 8 26 10000 

2103004000 

Stationary Source Fuel 

Combustion;Commercial/Institutional;Distillate Oil;Total: 

Boilers and IC Engines 

1721 8 26 10000 

2103006000 

Stationary Source Fuel 

Combustion;Commercial/Institutional;Natural Gas;Total: 

Boilers and IC Engines 

1722 8 26 10000 

2103007000 

Stationary Source Fuel 

Combustion;Commercial/Institutional;Liquified Petroleum 

Gas (LPG);Total: All Combustor Types 

1723 8 26 10000 

2104002000 

Stationary Source Fuel 

Combustion;Residential;Bituminous/Subbituminous 

Coal;Total: All Combustor Types 

1732 7 26 10000 

2104004000 Stationary Source Fuel Combustion;Residential;Distillate 

Oil;Total: All Combustor Types 

1733 7 26 10000 

2104006000 Stationary Source Fuel Combustion;Residential;Natural 

Gas;Total: All Combustor Types 

1734 7 26 10000 

2104007000 Stationary Source Fuel Combustion;Residential;Liquified 

Petroleum Gas (LPG);Total: All Combustor Types 

1735 7 26 10000 

2104008000 Stationary Source Fuel Combustion;Residential;Wood;Total: 

Woodstoves and Fireplaces 

1740 2007 2014 10001 

2104008000 Stationary Source Fuel Combustion;Residential;Wood;Total: 

Woodstoves and Fireplaces 

1741 2008 2015 10003 

2104008000 Stationary Source Fuel Combustion;Residential;Wood;Total: 

Woodstoves and Fireplaces 

1742 2009 2016 10005 

2104008000 Stationary Source Fuel Combustion;Residential;Wood;Total: 

Woodstoves and Fireplaces 

1742 2009 2016 10005 

2104008070 

Stationary Source Fuel 

Combustion;Residential;Wood;Outdoor Wood Burning 

Equipment; 

1743 2010 2017 10001 

2104008070 

Stationary Source Fuel 

Combustion;Residential;Wood;Outdoor Wood Burning 

Equipment; 

1744 2011 2017 10003 

2104008070 

Stationary Source Fuel 

Combustion;Residential;Wood;Outdoor Wood Burning 

Equipment; 

1745 2012 2017 10005 

2104011000 Stationary Source Fuel 

Combustion;Residential;Kerosene;Total: All Heater Types 

1736 7 26 10000 

2294000000 Mobile Sources;Paved Roads;All Paved Roads;Total: 

Fugitives 1729 7 26 10000 

2302002100 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Conveyorized Charbroiling 

262 7 26 10000 

2302002100 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Conveyorized Charbroiling 

262 7 26 10000 

2302002200 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Under-fired Charbroiling 

262 7 26 10000 

Appendix G Att. 13a - Page Number

151
Table VII-6 (continued) 

142

SCC Description Month Week Diurnal FIPS 

2302002200 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Charbroiling;Under-fired Charbroiling 

262 7 26 10000 

2302003000 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Total 

262 7 26 10000 

2302003000 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Total 

262 7 26 10000 

2302003100 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Flat Griddle Frying 

262 7 26 10000 

2302003100 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Flat Griddle Frying 

262 7 26 10000 

2302003200 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Clamshell Griddle Frying 

262 7 26 10000 

2302003200 Industrial Processes;Food and Kindred Products: SIC 

20;Commercial Deep Fat Frying;Clamshell Griddle Frying 

262 7 26 10000 

2311030000 Industrial Processes;Construction: SIC 15 - 17;Road 

Construction;Total 

262 7 9 10000 

2401002000 Solvent Utilization;Surface Coating;Architectural Coatings - 

Solvent-based;Total: All Solvent Types 

467 7 26 -9 

2401002000 Solvent Utilization;Surface Coating;Architectural Coatings - 

Solvent-based;Total: All Solvent Types 

500 20 27 10000 

2401003000 Solvent Utilization;Surface Coating;Architectural Coatings - 

Water-based;Total: All Solvent Types 

467 7 26 -9 

2401003000 Solvent Utilization;Surface Coating;Architectural Coatings - 

Water-based;Total: All Solvent Types 

500 20 27 10000 

2401005000 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Total: All Solvent Types 

1702 5 27 10000 

2401005500 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Surface Preparation Solvents 

1702 5 27 10000 

2401005600 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Primers 

1702 5 27 10000 

2401005700 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Top Coats 

1702 5 27 10000 

2401005800 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Clean-up Solvents 

1702 5 27 10000 

2401005800 Solvent Utilization;Surface Coating;Auto Refinishing: SIC 

7532;Clean-up Solvents 

1702 5 27 10001 

2401008000 Solvent Utilization;Surface Coating;Traffic Markings;Total: All 

Solvent Types 

1700 7 26 -9 

2401008000 Solvent Utilization;Surface Coating;Traffic Markings;Total: All 

Solvent Types 

1700 5 26 10000 

2401008999 Solvent Utilization;Surface Coating;Traffic Markings;Solvents: 

NEC 

1700 7 26 -9 

2401102000 Solvent Utilization;Surface Coating;Industrial Maintenance 

Coatings-Solvent-based;Total: All Solvent Types 

500 5 26 10000 

2401103000 Solvent Utilization;Surface Coating;Industrial Maintenance 

Coatings-Water-based;Total: All Solvent Types 

500 5 26 10000 

2415100000 Solvent Utilization;Degreasing;All Industries: Open Top 

Degreasing;Total: All Solvent Types 

262 6 5 10000 

2415130000 Solvent Utilization;Degreasing;Electronic and Other Elec. 

(SIC 36): Open Top Degreasing;Total: All Solvent Types 

262 6 5 10000 

2415300000 Solvent Utilization;Degreasing;All Industries: Cold 

Cleaning;Total: All Solvent Types 

262 6 5 10000 

2415360000 Solvent Utilization;Degreasing;Auto Repair Services (SIC 

75): Cold Cleaning;Total: All Solvent Types 

262 5 5 10000 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1712 7 26 10001 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1714 7 26 10001 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1713 7 26 10003 

Appendix G Att. 13a - Page Number

152
Table VII-6 (continued) 

143

SCC Description Month Week Diurnal FIPS 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1712 7 26 10003 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1714 7 26 10005 

2461021000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Cutback Asphalt;Total: All Solvent Types 

1713 7 26 10005 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1709 7 26 10001 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1711 7 26 10001 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1710 7 26 10003 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1709 7 26 10003 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1711 7 26 10005 

2461022000 Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Emulsified Asphalt;Total: All Solvent Types 

1710 7 26 10005 

2461850001 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Herbicides, 

Corn 

536 7 26 10000 

2461850005 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Herbicides, 

Soy Beans 

536 7 26 10000 

2461850006 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Herbicides, 

Hay & Grains 

536 7 26 10000 

2461850051 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Other 

Pesticides, Corn 

536 7 26 10000 

2461850055 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Other 

Pesticides, Soy Beans 

536 7 26 10000 

2461850056 

Solvent Utilization;Miscellaneous Non-industrial: 

Commercial;Pesticide Application: Agricultural;Other 

Pesticides, Hay & Grains 

536 7 26 10000 

2501011010 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Vapor Losses 

1701 7 26 10000 

2501011010 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Vapor Losses 

1701 7 26 10000 

2501011011 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Permeation 

1701 7 26 10000 

2501011011 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Permeation 

1701 7 26 10000 

2501011012 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Diurnal 

1701 7 26 10000 

2501011012 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Diurnal 

1701 7 26 10000 

2501011015 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Spillage 

1701 7 26 10000 

2501011015 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Spillage 

1701 7 26 10000 

2501011016 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Transport 

1701 7 26 10000 

2501011016 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Residential;Transport 

1701 7 26 10000 

2501012010 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Vapor Losses 

1701 7 26 10000 

2501012010 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Vapor Losses 

1701 7 26 10000 

Appendix G Att. 13a - Page Number

153
Table VII-6 (continued) 

144

SCC Description Month Week Diurnal FIPS 

2501012011 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Permeation 

1701 7 26 10000 

2501012011 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Permeation 

1701 7 26 10000 

2501012012 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Diurnal 

1701 7 26 10000 

2501012012 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Diurnal 

1701 7 26 10000 

2501012015 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Spillage 

1701 7 26 10000 

2501012015 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Spillage 

1701 7 26 10000 

2501012016 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Transport 

1701 7 26 10000 

2501012016 Storage and Transport;Petroleum and Petroleum Product 

Storage;Portable Containers: Commercial;Transport 

1701 7 26 10000 

2501060000 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Total: All Gasoline/All 

Processes 

1701 7 26 -9 

2501060050 Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 1: Total 

1701 7 26 -9 

2501060051 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 1: Submerged 

Filling 

1701 7 26 -9 

2501060052 Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 1: Splash Filling 

1701 7 26 -9 

2501060053 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 1: Balanced 

Submerged Filling 

1701 7 26 -9 

2501060100 Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Total 

1701 7 26 -9 

2501060100 Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Total 

1724 7 26 10000 

2501060101 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Displacement 

Loss/Uncontrolled 

1701 7 26 -9 

2501060102 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Displacement 

Loss/Controlled 

1701 7 26 -9 

2501060103 Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Spillage 

1701 7 26 -9 

2501060201 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Underground Tank: 

Breathing and Emptying 

1701 7 26 -9 

2501060204 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Off-Highway 

Equipment Displacement Loss/Controlled 

1701 7 26 10000 

2501060205 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Gasoline Service Stations;Stage 2: Off-Highway 

Equipment Spillage 

1701 7 26 10000 

2501080050 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports : Aviation Gasoline;Stage 1: Total 

1701 7 26 10000 

2501080102 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Aviation Gasoline;Stage 2: Displacement 

Loss 

1701 7 26 10000 

2501080103 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Aviation Gasoline;Stage 2: Spillage 

1701 7 26 10000 

2501080201 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Aviation Gasoline;Underground Tank: 

Breathing and Emptying 

1701 7 26 10000 

Appendix G Att. 13a - Page Number

154
Table VII-6 (continued) 

145

SCC Description Month Week Diurnal FIPS 

2501090050 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Jet A or JP-8;Stage 1: Total 

1701 7 26 10000 

2501090060 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Jet A or JP-8;Stage 2: Total 

1701 7 26 10000 

2501090070 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Jet Naphtha or JP-4;Stage 1: Total 

1701 7 26 10000 

2501090080 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Jet Naphtha or JP-4;Stage 2: Total 

1701 7 26 10000 

2501090101 Storage and Transport;Petroleum and Petroleum Product 

Storage;Airports: Jet A or JP-8;Stage 2: Total 

1701 7 26 10000 

2501090102 Storage and Transport;Petroleum and Petroleum Product 

Storage;Marinas: Gasoline;Stage 2: Displacement Loss 

1701 7 26 10000 

2501090103 Storage and Transport;Petroleum and Petroleum Product 

Storage;Marinas: Gasoline;Stage 2: Spillage 

1701 7 26 10000 

2501090201 

Storage and Transport;Petroleum and Petroleum Product 

Storage;Marinas: Gasoline;Underground Tank: Emptying and 

Breathing 

1701 7 26 10000 

2505000000 Storage and Transport;Petroleum and Petroleum Product 

Transport;All Transport Types;Total: All Products 

1701 7 26 -9 

2610010000 Waste Disposal, Treatment, and Recovery;Open 

Burning;Industrial;Total 

262 9 2013 10000 

2630020000 Waste Disposal, Treatment, and Recovery;Wastewater 

Treatment;Public Owned;Total Processed 

262 7 24 10000 

2630020010 

Waste Disposal, Treatment, and Recovery;Wastewater 

Treatment;Public Owned;Wastewater Treatment Processes 

Total 

262 7 24 10000 

2630020020 Waste Disposal, Treatment, and Recovery;Wastewater 

Treatment;Public Owned;Biosolids Processes Total 

262 7 24 10000 

2630020030 Waste Disposal, Treatment, and Recovery;Wastewater 

Treatment;Public Owned;Land Application - Digested Sludge 

262 7 24 10000 

2630050000 Waste Disposal, Treatment, and Recovery;Wastewater 

Treatment;Public Owned;Land Application - Digested Sludge 

262 7 24 10000 

2680001000 

Waste Disposal, Treatment, and 

Recovery;Composting;100% Biosolids (e.g., sewage sludge, 

manure, mixtures of these matls);All Processes 

262 7 26 10000 

2730100000 Natural Sources;Geogenic;Wind Erosion;Total 1704 7 26 10000 

2801001001 Miscellaneous Area Sources;Agriculture Production - 

Crops;Corn;Land preparation and cultivation 

1703 20 132 10000 

2801001005 Miscellaneous Area Sources;Agriculture Production - 

Crops;Wheat;Land preparation and cultivation 

1703 20 132 10000 

2801001009 Miscellaneous Area Sources;Agriculture Production - 

Crops;Barley;Land preparation and cultivation 

1703 20 132 10000 

2801001013 Miscellaneous Area Sources;Agriculture Production - 

Crops;Soybeans;Land preparation and cultivation 

1703 20 132 10000 

2801001017 Miscellaneous Area Sources;Agriculture Production - 

Crops;Hay/Alfalfa;Land preparation and cultivation 

1703 20 132 10000 

2801001021 Miscellaneous Area Sources;Agriculture Production - 

Crops;Vegetables;Land preparation and cultivation 

1703 20 132 10000 

2801002001 Miscellaneous Area Sources;Agriculture Production - 

Crops;Corn;Harvesting 

1703 20 132 10000 

2801002002 Miscellaneous Area Sources;Agriculture Production - 

Crops;Wheat;Harvesting 

1703 20 132 10000 

2801002003 Miscellaneous Area Sources;Agriculture Production - 

Crops;Barley;Harvesting 

1703 20 132 10000 

2801002004 Miscellaneous Area Sources;Agriculture Production - 

Crops;Soybeans;Harvesting 

1703 20 132 10000 

2801002005 Miscellaneous Area Sources;Agriculture Production - 

Crops;Hay/Alfalfa;Harvesting 

1703 20 132 10000 

2801002006 Miscellaneous Area Sources;Agriculture Production - 

Crops;Vegetables;Harvesting 

1703 20 132 10000 

Appendix G Att. 13a - Page Number

155
Table VII-6 (continued) 

146

SCC Description Month Week Diurnal FIPS 

2801700020 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Corn 

1705 7 26 10000 

2801700021 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Sorghum 

1705 7 26 10000 

2801700022 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Wheat 

1705 7 26 10000 

2801700023 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Barley 

1705 7 26 10000 

2801700024 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Soybeans 

1705 7 26 10000 

2801700025 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Hay/Alfalfa 

1705 7 26 10000 

2801700026 Miscellaneous Area Sources;Agricultural Production - 

Crops;Fertilizer Application;Vegetables 

1705 7 26 10000 

2805001100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on feedlots 

(drylots);Confinement 

1706 7 24 10000 

2805001200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on feedlots 

(drylots);Manure handling 

1706 7 24 10000 

2805001300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef cattle - finishing operations on feedlots 

(drylots);Land application of 

1706 7 24 10000 

2805001310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Beef Cattle - finishing operations on feedlots 

(drylots);Land Appl 

1706 7 24 10000 

2805001320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Beef Cattle - finishing operations on feedlots 

(drylots);Land Appl 

1706 7 24 10000 

2805001330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Beef Cattle - finishing operations on feedlots 

(drylots);Land Appl 

1706 7 24 10000 

2805001340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Beef Cattle - finishing operations on feedlots 

(drylots);Land Appl 

1706 7 24 10000 

2805002000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Beef Cattle Composite; Total 

1706 7 24 10000 

2805007100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with dry manure 

management systems;Confinement 

262 7 24 10000 

2805007200 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with dry manure 

management systems;Man 

262 7 24 10000 

2805007300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with dry manure 

management systems;Land applicati 

262 7 24 10000 

2805007340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with dry manure 

management systems;Lan 

262 7 24 10000 

2805008100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with wet manure 

management systems;Confinement 

262 7 24 10000 

2805008200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - layers with wet manure 

management systems;Manure handlin 

262 7 24 10000 

2805008310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with wet manure 

management systems;Lan 

1708 7 24 10000 

2805008320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - layers with wet manure 

management systems;Lan 

1708 7 24 10000 

Appendix G Att. 13a - Page Number

156
Table VII-6 (continued) 

147

SCC Description Month Week Diurnal FIPS 

2805009100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - broilers;Confinement 

262 7 24 10000 

2805009200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - broilers;Manure handling and 

storage 

262 7 24 10000 

2805009330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - broilers;Land Application of 

solid manure wit 

1708 7 24 10000 

2805009340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - broilers;Land Application of 

solid manure wit 

1708 7 24 10000 

2805010100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - turkeys;Confinement 

262 7 24 10000 

2805010200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Poultry production - turkeys;Manure handling and 

storage 

262 7 24 10000 

2805010330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - turkeys;Land Application of 

solid manure with 

1708 7 24 10000 

2805010340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Poultry Production - turkeys;Land Application of 

solid manure with 

1708 7 24 10000 

2805019100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Confinement 

1706 7 24 10000 

2805019200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Manure handling and 

storage 

1706 7 24 10000 

2805019300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - flush dairy;Land application of 

manure 

1706 7 24 10000 

2805019310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - flush dairy;Land Application of liquid 

manure with 

1706 7 24 10000 

2805019320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - flush dairy;Land Application of liquid 

manure witho 

1706 7 24 10000 

2805019330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - flush dairy;Land Application of solid 

manure with i 

1706 7 24 10000 

2805019340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - flush dairy;Land Application of solid 

manure withou 

1706 7 24 10000 

2805021100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - scrape dairy;Confinement 

1706 7 24 10000 

2805021200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - scrape dairy;Manure handling and 

storage 

1706 7 24 10000 

2805021310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - scrape dairy;Land Application of 

liquid manure with 

1706 7 24 10000 

2805021320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - scrape dairy;Land Application of 

liquid manure with 

1706 7 24 10000 

2805021330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - scrape dairy;Land Application of solid 

manure with 

1706 7 24 10000 

2805021340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - scrape dairy;Land Application of solid 

manure witho 

1706 7 24 10000 

2805023100 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - drylot/pasture dairy;Confinement 

1706 7 24 10000 

Appendix G Att. 13a - Page Number

157
Table VII-6 (continued) 

148

SCC Description Month Week Diurnal FIPS 

2805023200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Dairy cattle - drylot/pasture dairy;Manure handling 

and storage 

1706 7 24 10000 

2805023310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - drylot/pasture dairy;Land Application 

of liquid man 

1706 7 24 10000 

2805023320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - drylot/pasture dairy;Land Application 

of liquid man 

1706 7 24 10000 

2805023330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - drylot/pasture dairy;Land Application 

of solid manu 

1706 7 24 10000 

2805023340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Dairy Cattle - drylot/pasture dairy;Land Application 

of solid manu 

1706 7 24 10000 

2805035000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Horses and Ponies Waste Emissions;Total 

262 7 24 10000 

2805038100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with lagoons 

(unspecified animal age);Confineme 

1707 7 24 10000 

2805038200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with lagoons 

(unspecified animal age);Manure ha 

1707 7 24 10000 

2805038300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with lagoons 

(unspecified animal age);Land appl 

1707 7 24 10000 

2805039100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with 

lagoons;Confinement 

1707 7 24 10000 

2805039200 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - operations with lagoons;Manure 

handling and storage 

1707 7 24 10000 

2805039310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - operations with lagoon 

(unspecified animal age) 

1707 7 24 10000 

2805039320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - operations with lagoon 

(unspecified animal age) 

1707 7 24 10000 

2805039330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - operations with lagoon 

(unspecified animal age) 

1707 7 24 10000 

2805039340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - operations with lagoon 

(unspecified animal age) 

1707 7 24 10000 

2805040000 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Sheep and Lambs Waste Emissions;Total 

262 7 24 10000 

2805045001 Miscellaneous Area Sources;Agriculture Production - 

Livestock;Goats Waste Emissions;Total 

262 7 24 10000 

2805046100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - deep-pit house operations 

(unspecified animal age);Confine 

1707 7 24 10000 

2805046300 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - deep-pit house operations 

(unspecified animal age);Land ap 

1707 7 24 10000 

2805047100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - deep-pit house 

operations;Confinement 

1707 7 24 10000 

2805047200 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - deep pit house operations 

(unspecified animal a 

1707 7 24 10000 

Appendix G Att. 13a - Page Number

158
Table VII-6 (continued) 

149

SCC Description Month Week Diurnal FIPS 

2805047310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - deep pit house operations 

(unspecified animal a 

1707 7 24 10000 

2805047320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - deep pit house operations 

(unspecified animal a 

1707 7 24 10000 

2805047330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - deep pit house operations 

(unspecified animal a 

1707 7 24 10000 

2805047340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - deep pit house operations 

(unspecified animal a 

1707 7 24 10000 

2805052100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - outdoor operations (unspecified 

animal age);Confinement 

1707 7 24 10000 

2805053100 

Miscellaneous Area Sources;Agriculture Production - 

Livestock;Swine production - outdoor operations; 

Confinement 

1707 7 24 10000 

2805053200 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - outdoor operations (unspecified 

animal age);Man 

1707 7 24 10000 

2805053310 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - outdoor operations (unspecified 

animal age);Lan 

1707 7 24 10000 

2805053320 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - outdoor operations (unspecified 

animal age);Lan 

1707 7 24 10000 

2805053330 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - outdoor operations (unspecified 

animal age);Lan 

1707 7 24 10000 

2805053340 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;Swine Production - outdoor operations (unspecified 

animal age);Lan 

1707 7 24 10000 

2805054000 

Miscellaneous Area Sources;Agricultural Production - 

Livestock;"Mules; Donkeys; and Burros Waste 

Emissions";Not Elsewhere Classif 

262 7 24 10000 

2806010000 Miscellaneous Area Sources;Domestic Animals Waste 

Emissions;Cats;Total 

262 7 24 10000 

2806015000 Miscellaneous Area Sources;Domestic Animals Waste 

Emissions;Dogs;Total 

262 7 24 10000 

2807030000 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Deer;Total 

262 7 24 10000 

2807040000 Miscellaneous Area Sources;Wild Animals Waste 

Emissions;Birds;Total 

262 7 24 10000 

2810010000 Miscellaneous Area Sources;Other Combustion;Human 

Perspiration and Respiration;Total 

1739 2006 24 10000 

2810015000 Miscellaneous Area Sources;Other Combustion;Prescribed 

Burning for Forest Management;Total 

1731 7 24 10000 

2810030000 Miscellaneous Area Sources;Other Combustion;Structure 

Fires;Total 

1715 7 24 10000 

2810035000 Miscellaneous Area Sources;Other Combustion;Firefighting 

Training;Total 

1716 2004 24 10000 

2870000001 Miscellaneous Area Sources;Humans;Respiration and 

Perspiration;Total 

262 7 24 10000 

2870000002 Miscellaneous Area Sources;Humans;Infant Diapered 

Waste;Total 

262 7 24 10000 

2870000011 Miscellaneous Area Sources;Domestic Activity;Household 

Products;Total 

262 7 24 10000 

2870000015 Miscellaneous Area Sources;Domestic Activity;Nonagricultural Fertilizers;Total 

3 7 24 10000 

Appendix G Att. 13a - Page Number

159
Table VII-6 (continued) 

150

SCC Description Month Week Diurnal FIPS 

2870000021 Miscellaneous Area Sources;Domestic Animals;Dogs;Total 262 7 24 10000 

2870000022 Miscellaneous Area Sources;Domestic Animals;Cats;Total 262 7 24 10000 

2870000031 Miscellaneous Area Sources;Wild Animals;Deer;Total 262 7 24 10000 

2870000032 Miscellaneous Area Sources;Wild Animals;Birds;Total 1728 7 24 10000 

Appendix G Att. 13a - Page Number

160
C-151 

Table VII-7. Point Source Speciation Profiles Added to Speciation Crossreference File for CB-IV with PM Mechanism 

Recommended 

Profiles 

State FIPS SCC VOC PM2.5

Method of 

Assignment 

SCC Description 

(Complete description not always available) 

VT 50005 10200908 1084 NWWAS Use SCC=102009XX 

profiles 

External Combustion Boilers;Industrial;Wood/Bark 

Waste;Wood-fired Boiler - Dry Wood (<20% moisture) 

VT 50019 10200908 1084 NWWAS Use SCC=102009XX 

profiles 

External Combustion Boilers;Industrial;Wood/Bark 

Waste;Wood-fired Boiler - Dry Wood (<20% moisture) 

VT 50021 10200908 1084 NWWAS Use SCC=102009XX 

profiles 

External Combustion Boilers;Industrial;Wood/Bark 

Waste;Wood-fired Boiler - Dry Wood (<20% moisture) 

VT 50017 10300908 1084 NWWAS Use SCC=103009XX 

profiles 

External Combustion 

Boilers;Commercial/Institutional;Wood/Bark Waste;Wood-fired 

Boiler - Dry Wood (<20% moisture) 

PA 42009 20200299 0007 22004 Use SCC=202002XX 

profiles 

Internal Combustion Engines;Industrial;Natural Gas;Unknown 

PA 42029 20200299 0007 22004 Use SCC=202002XX 

profiles 

Internal Combustion Engines;Industrial;Natural Gas;Unknown 

PA 42045 20200299 0007 22004 Use SCC=202002XX 

profiles 

Internal Combustion Engines;Industrial;Natural Gas;Unknown 

PA 42061 20200299 0007 22004 Use SCC=202002XX 

profiles 

Internal Combustion Engines;Industrial;Natural Gas;Unknown 

PA 42067 20200299 0007 22004 Use SCC=202002XX 

profiles 

Internal Combustion Engines;Industrial;Natural Gas;Unknown 

PA 42015 20300299 0007 22004 Use SCC=203002XX 

profiles 

Internal Combustion Engines;Commercial/Institutional;Natural 

Gas;Unknown 

PA 42029 20300299 0007 22004 Use SCC=203002XX 

profiles 

Internal Combustion Engines;Commercial/Institutional;Natural 

Gas;Unknown 

PA 42037 20300299 0007 22004 Use SCC=203002XX 

profiles 

Internal Combustion Engines;Commercial/Institutional;Natural 

Gas;Unknown 

PA 42071 20300299 0007 22004 Use SCC=203002XX 

profiles 

Internal Combustion Engines;Commercial/Institutional;Natural 

Gas;Unknown 

PA 42011 28888899 9002 35602 Use SCC=288888XX 

profiles 

Internal Combustion Engines;Fugitive Emissions;Other Not 

Classified;Specify in Comments 

PA 42123 28888899 9002 35602 Use SCC=288888XX 

profiles 

Internal Combustion Engines;Fugitive Emissions;Other Not 

Classified;Specify in Comments 

PA 42123 28888899 9002 35602 Use SCC=288888XX 

profiles 

Internal Combustion Engines;Fugitive Emissions;Other Not 

Classified;Specify in Comments 

PA 42129 28888899 9002 35602 Use SCC=288888XX 

profiles 

Internal Combustion Engines;Fugitive Emissions;Other Not 

Classified;Specify in Comments 

MD 24031 30500261 0025 22035 Use SCC=30500260 

profile 

Industrial Processes;Mineral Products;Asphalt Concrete;Drum 

Mix Plant: Rotary Drum Dryer/Mixer, Waste/Drain/#6 Oil-Fired 

PA Numerous 

counties 

39000698 0000 22004 Use SCC=39000699 

profile 

Industrial Processes;In-process Fuel Use;Natural 

Gas;Unknown 

NJ Numerous 

counties 

39999901 9003 22054 Use SCC=399999XX 

profiles 

Industrial Processes;Miscellaneous Manufacturing 

Industries;Miscellaneous Industrial Processes;Unknown 

PA 42015 40202598 1003 99999 Use SCC=40202599 

profile 

Petroleum and Solvent Evaporation;Surface Coating 

Operations;Miscellaneous Metal Parts;Unknown 

PA 42017 40202598 1003 99999 Use SCC=40202599 

profile 

Petroleum and Solvent Evaporation;Surface Coating 

Operations;Miscellaneous Metal Parts;Unknown 

PA 42091 40202598 1003 99999 Use SCC=40202599 

profile 

Petroleum and Solvent Evaporation;Surface Coating 

Operations;Miscellaneous Metal Parts;Unknown 

PA 42095 40202598 1003 99999 Use SCC=40202599 

profile 

Petroleum and Solvent Evaporation;Surface Coating 

Operations;Miscellaneous Metal Parts;Unknown 

PA 42097 40202598 1003 99999 Use SCC=40202599 

profile 

Petroleum and Solvent Evaporation;Surface Coating 

Operations;Miscellaneous Metal Parts;Unknown 

PA 42013 40400299 1014 22042 Use SCC=404002XX 

profiles 

Petroleum and Solvent Evaporation;Petroleum Liquids Storage 

(non-Refinery);Bulk Plants;Unknown 

PA 42041 40400299 1014 22042 Use SCC=404002XX 

profiles 

Petroleum and Solvent Evaporation;Petroleum Liquids Storage 

(non-Refinery);Bulk Plants;Unknown 

PA 42045 40400299 1014 22042 Use SCC=404002XX 

profiles 

Petroleum and Solvent Evaporation;Petroleum Liquids Storage 

(non-Refinery);Bulk Plants;Unknown 

PA 42071 40400299 1014 22042 Use SCC=404002XX 

profiles 

Petroleum and Solvent Evaporation;Petroleum Liquids Storage 

(non-Refinery);Bulk Plants;Unknown 

Appendix G Att. 13a - Page Number

161
C-152 

Table VII-8. Point Source SCCs Lacking Speciation Profile Assignments for CB-IV 

with PM Mechanism 

State FIPS SCC Description 

NY 36055 31603001 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Substrate 

Preparation;Extrusion Operations 

NY 36055 31603002 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Substrate 

Preparation;Film Support Operations 

NY 36055 31604001 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Chemical 

Preparation;Chemical Manufacturing 

NY 36055 31604002 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Chemical 

Preparation;Emulsion Making Operations 

NY 36055 31604003 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Chemical 

Preparation;Chemical Mixing Operations 

NY 36055 31605001 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Surface 

Treatments;Surface Coating Operations 

NY 36055 31605002 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Surface 

Treatments;Grid Ionizers 

NY 36055 31605003 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Surface 

Treatments;Corona Discharge Treatment 

NY 36055 31606001 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Finishing 

Operations;General Film Manufacturing 

NY 36055 31606002 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Finishing 

Operations;Cutting/Slitting Operations 

PA 42101 31606002 Industrial Processes;Photographic Film Manufacturing;Product Manufacturing - Finishing 

Operations;Cutting/Slitting Operations 

NY 36055 31612001 Industrial Processes;Photographic Film Manufacturing;Support Activities - Cleaning 

Operations;Tank Cleaning Operations 

NY 36055 31612002 Industrial Processes;Photographic Film Manufacturing;Support Activities - Cleaning 

Operations;General Cleaning Operations 

NY 36055 31613002 Industrial Processes;Photographic Film Manufacturing;Support Activities - Storage 

Operations;General Storage Operations 

NY 36055 31614001 Industrial Processes;Photographic Film Manufacturing;Support Activities - Material 

Transfer Operations;Filling Operations (non petroleum) 

NY 36055 31614002 Industrial Processes;Photographic Film Manufacturing;Support Activities - Material 

Transfer Operations;Transfer of Chemicals 

NY 36055 31615001 Industrial Processes;Photographic Film Manufacturing;Support Activities - Separation 

Processes;Recovery Operations 

NY 36055 31615003 Industrial Processes;Photographic Film Manufacturing;Support Activities - Separation 

Processes;Distillation Operations 

NY 36055 31616002 Industrial Processes;Photographic Film Manufacturing;Support Activities - Other 

Operations;General Process Tank Operations 

NY 36055 31616003 Industrial Processes;Photographic Film Manufacturing;Support Activities - Other 

Operations;Miscellaneous Manufacturing Operations 

NY 36055 31616004 Industrial Processes;Photographic Film Manufacturing;Support Activities - Other 

Operations;Paint Spraying Operations 

NY 36055 31616006 Industrial Processes;Photographic Film Manufacturing;Support Activities - Other 

Operations;Chemical Weighing Operations 

Appendix G Att. 13a - Page Number

162
153

Table VII-9. Summary of Version 3 Mass Emissions and SMOKE Input Files 

S/L Agencies Included 

in Files 

NIF 3.0 File Name 

Containing Mass 

Emissions Inventory 

(Access 2000 Database 

Files) 

Temporal Period of 

Mass Emissions 

Inventory SMOKE Input File Name 

Temporal Period of 

Emissions in 

SMOKE/IDA File 

Point Source Inventory 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA 

(state and Philadelphia, 

and Allegheny Counties), 

RI, VT 

MANEVU_2002_Pt_Versi

on 3_040706.mdb 

Annual, Summer Day, 

and Winter Day 

MANEVU_Point_SMOKE_IN

PUT_ANNUAL_SUMMERD

AY_042706.txt 

Annual and Summer Day

“ “ “ MANEVU_Point_SMOKE_IN

PUT_ANNUAL_WINTERDA

Y_042706.txt 

Annual and Winter Day 

Area Source Inventory 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

MANEVU_2002_Area_04

0606.mdb 

Annual, Summer Day, 

Winter Day, and 

Average Day 

MANEVU_AREA_SMOKE_I

NPUT_ANNUAL_SUMMER

DAY_040606.txt 

Annual, Summer Day, 

and Average Day 

“ “ “ MANEVU_AREA_SMOKE_I

NPUT_ANNUAL_WINTERD

AY_040606.txt 

Annual, Winter Day, and 

Average Day 

Nonroad Source Inventory

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

MANEVU_NRD2002_NIF

_030306.mdb 

Annual MANEVU_NRD2002_SMOK

E_030306.ida 

Annual 

Onroad Source Inventory

CT CT2002MANEVUORCAP

_122004.mdb 

Annual 

DE DE2002MANEVUORCAP

_072004.mdb 

Annual 

DC DC2002MANEVUORCAP

_072004.mdb 

Annual 

ME ME2002MANEVUORCAP

_072004.mdb 

Annual 

MD MD2002MANEVUORCA

P_072004.mdb 

Annual 

MA MA2002MANEVUORCAP

_022006_Access2000.md

b 

MA2002MANEVUORCAP

_022006_Access97.mdb

Annual 

NH NH2002MANEVUORCAP

_072004.mdb 

Annual 

NJ NJ2002MANEVUORCAP

_022006_Access2000.md

b 

NJ2002MANEVUORCAP

_022006_Access97.mdb

Annual 

NY NY2002MANEVUORCAP

_072004.mdb 

Annual 

PA PA2002MANEVUORCAP

_072004.mdb 

Annual 

RI DRI2002MANEVUORCA

P_072004.mdb 

Annual 

VT VT2002MANEVUORCAP

_122004.mdb 

Annual 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

 MANEVU_2002_mbinv_020

22006.txt 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

 MANEVU_2002_mcref_0202

2006.txt 

Appendix G Att. 13a - Page Number

163
154

S/L Agencies Included 

in Files 

NIF 3.0 File Name 

Containing Mass 

Emissions Inventory 

(Access 2000 Database 

Files) 

Temporal Period of 

Mass Emissions 

Inventory SMOKE Input File Name 

Temporal Period of 

Emissions in 

SMOKE/IDA File 

DE, MA, MD, NJ, NY, PA, 

VT 

 MANEVU_2002_mtpro_0202

2006.txt 

DE, MA, MD, NJ, NY, PA, 

VT 

 MANEVU_2002_mtref_0202

2006.txt 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

 MANEVU_2002_mvref_0202

2006.txt 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

 MANEVU_2002_vmtmix_02

022006.txt 

 MANEVU_2002_mcodes.txt 

CT, NY MANEVU_2002_spdpro.txt 

CT, NY MANEVU_2002_spdref.txt 

CT, DC, DE, MA, MD, 

ME, NH, NJ, NY, PA, RI, 

VT 

 SMOKE MOBILE6 input 

files—too numerous to list 

individually 

Table VII-10. Unique List of Start Date, End Date, and Emission Type 

Combinations for Daily Emissions in the MANE-VU 2002 Point and Area Source 

Inventories, Version 3 

Start 

Date End Date 

Emission 

Type 

Emission 

Type Period 

Season 

Designation SMOKE File 

Point Source Inventory 

20011201 20020228 27 NONANNUAL Winter MANEVU_Point_SMOKE_INPUT_ANNUAL_WINTERDAY_042706.txt 

20011201 20020228 29 NONANNUAL Winter MANEVU_Point_SMOKE_INPUT_ANNUAL_WINTERDAY_042706.txt 

20020101 20020331 27 NONANNUAL Winter MANEVU_Point_SMOKE_INPUT_ANNUAL_WINTERDAY_042706.txt 

20020101 20021231 29 NONANNUAL MD-Winter MANEVU_Point_SMOKE_INPUT_ANNUAL_WINTERDAY_042706.txt 

 VT-Summer MANEVU_Point_SMOKE_INPUT_ANNUAL_SUMMERDAY_042706.txt 

20020501 20020930 29 NONANNUAL Summer MANEVU_Point_SMOKE_INPUT_ANNUAL_SUMMERDAY_042706.txt 

20020601 20020831 27 NONANNUAL Summer MANEVU_Point_SMOKE_INPUT_ANNUAL_SUMMERDAY_042706.txt 

20020601 20020831 29 NONANNUAL Summer MANEVU_Point_SMOKE_INPUT_ANNUAL_SUMMERDAY_042706.txt 

20020601 20020831 30 NONANNUAL Summer MANEVU_Point_SMOKE_INPUT_ANNUAL_SUMMERDAY_042706.txt 

Area Source Inventory 

20020101 20020831 27 Daily Average Day 

MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

and 

MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

20020101 20021231 29 Daily Average Day 

MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

and 

MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

 

20020401 20020930 29 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020401 20021031 29 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020512 20020512 27 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020601 20020831 27 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020601 20020831 29 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020601 20020929 29 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

20020629 20020629 27 Daily Summer Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_SUMMERDAY_040606.txt 

 

20011201 20020228 27 Daily Winter Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

20011201 20020228 29 Daily Winter Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

20021029 20021029 27 Daily Winter Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

20021104 20021104 27 Daily Winter Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

20021205 20021205 27 Daily Winter Day MANEVU_AREA_SMOKE_INPUT_ANNUAL_WINTERDAY_040606.txt 

Appendix G Att. 13a - Page Number

164
155

CHAPTER VIII. METHODS FOR AREAS OUTSIDE OF THE MANE-VU REGION 

Figure VIII-1 shows the geographic area for which the 12-kilometer (km) CMAQ modeling 

domain was used to support air quality modeling for the MANE-VU region. The 36-km domain 

definition was used for geographical areas outside of the area shown in Figure VIII-1. 

Table VIII-1 identifies the geographic region as well as the types of emissions inventory and 

ancillary data used to in modeling for the MANE-VU region. The geographic areas for which 

data were obtained include the Visibility Improvement State and Tribal Association of the 

Southeast (VISTAS), Central Regional Air Planning Organization (CENRAP), and WRAP 

RPOs, the Midwest RPO, Canada, and Mexico. 

 

Figure VIII-1. MANE-VU 12-Kilometer CMAQ Modeling Domain 

Appendix G Att. 13a - Page Number

165
156

Table VIII-1. Description of Non-MANE-VU Region Inventory Data Used for MANE-VU Bas

* Only utilized for 2002 BaseA 36-km modeling to generate boundary conditions for BaseA/BaseA1/BaseB current and future year 12-km 

Geographical 

Region/RPO Raw Data 

Time Period and Version 

Number 

Raw Data 

Format Source of Data Source of Ancillary Data 

Date 

Obtaine

VISTAS Point, area, 

nonroad, and mobile 

2002 BaseG SMOKE IDA Gregory Stella, Alpine 

Geophysics 

Gregory Stella, Alpine Geophysics 

MRPO Point, area, 

nonroad, and mobile 

2002 BaseK SMOKE IDA NIF files provided by Mark 

Janssen, MRPO, and converted to IDA format by Gregory Stella, Alpine Geophysics 

Part of VISTAS 2002 BaseD provided by Gregory Stella, Alpine Geophysics 

CENRAP Point, area, 

nonroad, and mobile 

2002 BaseB SMOKE IDA CENRAP ftp site 

Lee Warden, Oklahoma DEQ 

CENRAP ftp site Lee Warden, Oklahoma DEQ 

WRAP * Point, area, 

nonroad, and mobile 

Part of 

VISTAS 

2002 BaseD

SMOKE IDA Part of VISTAS 2002 BaseD 

provided by Gregory Stella, Alpine Geophysics 

Part of VISTAS 2002 BaseD provided by Gregory Stella, Alpine Geophysics 

Area, nonroad and mobile 

2000 SMOKE IDA ftp://ftp.epa.gov/EmisInventory

/canada_2000inventory 

Canada SMOKE 2.1 defaults 

Point 2002 SMOKE IDA 

created by NYSDEC from Canadian NPRI database 

http://www.ec.gc.ca/pdb/npri/npri_home_e.cfm 

SMOKE 2.1 defaults 

Mexico * Point, area, 

nonroad and mobile 

1999 SMOKE IDA EPA CAIR NODA SMOKE 2.1 defaults 

Appen
157

CHAPTER IX. REFERENCES 

CAMD, 2004: 2002 Continuous Emissions Monitoring Data Files downloaded on July 8, 2004 

from the EPA’s Clean Air Markets Division’s website (www.epa.gov/ airmarkets). [Note: 

The files can be found by clicking on Data and Maps on the left panel of the screen, then on 

Data Sets and Published Reports, and then on the first item on the list, Emissions Data 

Prepackaged Datasets (http://cfpub.epa.gov/gdm/index.cfm?fuseaction= 

prepackaged.select). Year 2002 data for the quarterly time period was selected and then 

“Display List” that provides 48 data sets (comma delimited text format) that were 

downloaded one by one and combined into a single dataset.] 

EPA, 2002: Final Summary of the Development and Results of a Methodology for Calculating 

Area Source Emissions from Residential Fuel Combustion, U.S. Environmental Protection 

Agency, Emission Factor and Inventory Group, Emissions Monitoring and Analysis 

Division, Office of Air Quality Planning and Standards. Research Triangle Park, North 

Carolina. September 2002. 

(http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html). 

EPA, 2003a: Enhanced Particulate Matter Controlled Emissions Calculator, User’s Manual, U.S. 

Environmental Protection Agency, Emission Factor and Inventory Group, Emissions 

Monitoring and Analysis Division, Office of Air Quality Planning and Standards. 

Research Triangle Park, North Carolina. September 2003. 

EPA, 2003b: U.S. Environmental Protection Agency, Office of Air Quality Planning and 

Standards, Documentation for Aircraft, Commercial Marine, Locomotive, and Other 

Nonroad Components of the National Emissions Inventory, prepared by Eastern Research 

Group, Morrisville, NC, for the U.S. Environmental Protection Agency, September 2003. 

EPA, 2004a: Basic Format & Content Checker 3.0 (Formerly known as the Quality Assurance / 

Quality Control Software 3.0) - March 2004; Extended Quality Control Tool - Updated 

May 18, 2004. Available at the following EPA website: 

http://www.epa.gov/ttn/chief/nif/index.html#nei. 

EPA, 2004b: NEI Quality Assurance and Data Augmentation for Point Sources, U.S. 

Environmental Protection Agency, Emissions Monitoring and Analysis Division, Emission 

Factor and Inventory Group, May 26, 2004. 

EPA, 2004c: Factor Information and REtrieval (FIRE) Data System, Version 6.24, located on 

the Technology Transfer Network Clearinghouse for Inventories & Emission Factors Web 

Site at http://www.epa.gov/ttn/chief/software/fire/index.html. March 2004. 

EPA, 2005a. U.S. Environmental Protection Agency, Final NONROAD2005 [computer 

software], Office of Transportation and Air Quality, Ann Arbor, MI. Available December 

2005 at: http://www.epa.gov/otaq/nonroadmdl.htm. 

Appendix G Att. 13a - Page Number

167
158

EPA, 2005b. U.S. Environmental Protection Agency, National Mobile Inventory Model, 

NMIM2005 [computer software], Office of Transportation and Air Quality, Ann Arbor, 

MI. Available December 2005 at: http://www.epa.gov/otaq/nmim.htm. 

ERG, 2004: Environmental Research Group, Documentation for Aircraft, Commercial Marine, 

Locomotive, and Other Nonroad Components of the National Emissions Inventory, 

technical memorandum prepared by Eastern Research Group, Morrisville, NC, for the U.S. 

Environmental Protection Agency, September 2004. 

MANE-VU, 2003: Quality Assurance Plan for Development of a 2002 Mobile Source 

Emissions Inventory for the MANE-VU States, Final. Prepared by E.H. Pechan & 

Associates, Inc. for the Mid-Atlantic/Northeast Visibility Union (MANE-VU). January 

31, 2003. 

MANE-VU, 2004a: Quality Assurance Project Plan (QAPP) for Area and Point Source 

Emissions Modeling Inventory Project, Final. Prepared by E.H. Pechan & 

Associates, Inc. and Carolina Environmental Program for the MidAtlantic/Northeast Visibility Union (MANE-VU). August 3, 2004. 

MANE-VU, 2004b: Summary of Approaches Available for Fugitive Dust Sources, 

Final. Prepared by E.H. Pechan & Associates, Inc. for the Mid-Atlantic/Northeast 

Visibility Union (MANE-VU). July 15, 2004. 

MANE-VU, 2004c: Summary of Approaches Available for Wildfires, Prescribed 

Burning, Slash Burning, and Agricultural Field Burning, Draft. Prepared by E.H. 

Pechan & Associates, Inc. for the Mid-Atlantic/Northeast Visibility Union 

(MANE-VU). July 24, 2004. 

MANE-VU, 2005: Area and Point Source Emissions Modeling Inventory Project, Prepared by 

E.H. Pechan & Associates, Inc. for the Mid-Atlantic/Northeast Visibility Union (MANEVU). January 31, 2005. 

Thompson, 2002: Thompson, Rhonda L., “A Demonstration of the Quality Assurance (QA) 

software specifically developed for the National Emission Inventory (NEI),” presented at 

the International Emission Inventory Conference “Emission Inventories - Partnering for 

the Future,” Atlanta, GA, April 15-18, 2002, (http://www.epa.gov/ttn/chief/conference/ 

ei11/qa/thompson.pdf). 

WRAP, 2005: Western Governors’ Association, Western Regional Air Partnership, “Analysis of 

the Fine Fraction of Particulate Matter in Fugitive Dust,” Final Report, October 12, 2005 

(http://www.wrapair.org/forums/dejf/index.html). 

Appendix G Att. 13a - Page Number

168
A-1

APPENDIX A 

POINT SOURCE INVENTORY, VERSION 3: 

DATA SOURCES BY SCC, EMISSION TYPE PERIOD, AND POLLUTANT 

[NOTE: The Appendix A table for each State is provided in a separate MS Word file because of 

the large size of each table. The Word files are provided in the zip file named “Appendix A.zip”; 

this zip file also includes an Excel Workbook file that contains the spreadsheet from which the 

Word file was created for each State.]

Appendix G Att. 13a - Page Number

169
B-1

APPENDIX B 

AREA SOURCE INVENTORY, VERSION 3: 

DATA SOURCES BY SCC, EMISSION TYPE PERIOD, AND POLLUTANT 

[NOTE: The Appendix B table for each State is provided in a separate MS Word file because of 

the large size of each table. The Word files are provided in the zip file named “Appendix B.zip”; 

this zip file also includes an Excel Workbook file that contains the spreadsheet from which the 

Word file was created for each State.]

Appendix G Att. 13a - Page Number

170
C-1 

APPENDIX C 

NONROAD SOURCE INVENTORY, VERSION 3: 

FINAL COUNTY, MONTHLY NATIONAL 

MOBILE INVENTORY MODEL (NMIM) INPUTS 

CONTENTS 

CONNECTICUT ........................................................................................................................ C-2 

DELAWARE .............................................................................................................................. C-2 

DISTRICT OF COLUMBIA ...................................................................................................... C-3 

MAINE ....................................................................................................................................... C-3 

MARYLAND ............................................................................................................................. C-4 

MASSACHUSETTS................................................................................................................... C-6 

NEW HAMPSHIRE ................................................................................................................... C-7 

NEW JERSEY ............................................................................................................................ C-7 

NEW YORK ............................................................................................................................... C-9 

PENNSYLVANIA.................................................................................................................... C-13 

RHODE ISLAND ..................................................................................................................... C-17 

VERMONT............................................................................................................................... C-18 

Appendix G Att. 13a - Page Number

171
C-2 

Table C-1. MANE-VU County, Monthly NMIM/NONROAD Inputs 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

09 CONNECTICUT 

RVP, psi 

 001 Fairfield County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  003 Hartford County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  005 Litchfield County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  007 Middlesex County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  009 New Haven County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  011 New London County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  013 Tolland County 12.3 12.3 10.0 10.0 6.9 6.9 6.9  015 Windham County 12.3 12.3 10.0 10.0 6.9 6.9 6.9 

Oxygen Weight Percent 

 001 Fairfield County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 003 Hartford County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 005 Litchfield County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 007 Middlesex County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 009 New Haven County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 011 New London County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 013 Tolland County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6 015 Windham County 1.5667 1.5667 1.6068 1.6068 1.6596 1.6596 1.6596 1.6

Gasoline Sulfur, ppm 

 001 Fairfield County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 003 Hartford County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 005 Litchfield County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 007 Middlesex County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 009 New Haven County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 011 New London County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 013 Tolland County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10 015 Windham County 135.0 135.0 135.0 135.0 106.0 106.0 106.0 10

10 DELAWARE 

RVP, psi  001 Kent County 13.4 13.4 10.6 10.6 6.8 6.8 6.8 

 003 New Castle County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  005 Sussex County 13.4 13.4 10.4 10.4 6.4 6.4 6.4 

Oxygen Weight Percent 

 001 Kent County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 003 New Castle County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 005 Sussex County 1.4645 1.4645 1.5538 1.5538 1.6431 1.6431 1.6431 1.6

Gasoline Sulfur, ppm 

 001 Kent County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 003 New Castle County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 005 Sussex County 225.0 225.0 186.0 186.0 134.0 134.0 134.0 13

Appen
Table C-1 (continued) 

C-3 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

11 DISTRICT OF COLUMBIA 

RVP, psi  001 District of Columbia 13.1 13.1 10.4 10.4 6.8 6.8 6.8 

Oxygen Weight Percent 

 001 District of Columbia 1.7681 1.7681 1.8217 1.8217 1.8932 1.8932 1.8932 1.8

Gasoline Sulfur, ppm 

 001 District of Columbia 230.0 230.0 199.6 199.6 159.0 159.0 159.0 15

23 MAINE 

RVP, psi  001 Androscoggin County 12.3 11.1 11.2 8.4 7.5 7.5 7.7 

 003 Aroostook County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  005 Cumberland County 12.3 11.1 11.2 8.4 7.5 7.5 7.7  007 Franklin County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  009 Hancock County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  011 Kennebec County 12.3 11.1 11.2 8.4 7.5 7.5 7.7  013 Knox County 12.3 11.1 11.2 8.4 7.5 7.5 7.7  015 Lincoln County 12.3 11.1 11.2 8.4 7.5 7.5 7.7  017 Oxford County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  019 Penobscot County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  021 Piscataquis County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  023 Sagadahoc County 12.3 11.1 11.2 8.4 7.5 7.5 7.7  025 Somerset County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  027 Waldo County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  029 Washington County 12.3 11.1 11.2 8.4 8.6 8.6 8.4  031 York County 12.3 11.1 11.2 8.4 7.5 7.5 7.7 

Oxygen Weight Percent 

 001 Androscoggin County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 003 Aroostook County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 005 Cumberland County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 007 Franklin County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 009 Hancock County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 011 Kennebec County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 013 Knox County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 015 Lincoln County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 017 Oxford County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 019 Penobscot County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 021 Piscataquis County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 023 Sagadahoc County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6 025 Somerset County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 027 Waldo County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 029 Washington County 0.4334 0.6510 0.5390 0.3235 0.3786 0.5845 0.8545 0.5 031 York County 0.4334 0.6510 0.5390 0.3235 0.2420 0.1753 0.7061 0.6

Gasoline Sulfur, ppm 

 001 Androscoggin County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8 003 Aroostook County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 005 Cumberland County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8 007 Franklin County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29

Appen
Table C-1 (continued) 

C-4 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

 009 Hancock County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29

23 MAINE (cont’d) 011 Kennebec County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8

 013 Knox County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8 015 Lincoln County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8 017 Oxford County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 019 Penobscot County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 021 Piscataquis County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 023 Sagadahoc County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8 025 Somerset County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 027 Waldo County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 029 Washington County 151.5 236.1 221.1 145.4 170.1 290.9 128.6 29 031 York County 151.5 236.1 221.1 145.4 319.7 268.1 101.1 8

24 MARYLAND 

RVP, psi  003 Anne Arundel County 12.6 12.6 9.6 9.6 9.6 6.6 6.6 

 005 Baltimore County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  009 Calvert County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  011 Caroline County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  013 Carroll County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  015 Cecil County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  017 Charles County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  019 Dorchester County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  021 Frederick County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  023 Garrett County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  025 Harford County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  027 Howard County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  029 Kent County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  031 Montgomery County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  033 Prince George's County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  035 Queen Anne's County 12.6 12.6 9.6 9.6 9.6 6.6 6.6  037 St. Mary's County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  039 Somerset County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  041 Talbot County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  043 Washington County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  045 Wicomico County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  047 Worcester County 12.6 12.6 9.6 9.6 9.6 8.2 8.2  510 Baltimore city 12.6 12.6 9.6 9.6 9.6 6.6 6.6 

Oxygen Weight Percent 

 001 Allegany County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 003 Anne Arundel County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 005 Baltimore County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 009 Calvert County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 011 Caroline County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 013 Carroll County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 015 Cecil County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 017 Charles County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 019 Dorchester County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 021 Frederick County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.

Appen
Table C-1 (continued) 

C-5 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

 023 Garrett County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.

24 MARYLAND (cont’d) 025 Harford County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.

 027 Howard County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 029 Kent County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1 031 Montgomery County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 033 Prince George's County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 035 Queen Anne's County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 037 St. Mary's County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1 039 Somerset County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 041 Talbot County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 043 Washington County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 045 Wicomico County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 047 Worcester County 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2. 510 Baltimore city 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.1075 2.

Gasoline Sulfur, ppm 

 001 Allegany County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 003 Anne Arundel County 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12 005 Baltimore County 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12 009 Calvert County 230.0 230.0 199.6 129.0 129.0 129.0 129.0 12 011 Caroline County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 013 Carroll County 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12 015 Cecil County 174.0 174.0 155.1 129.0 129.0 129.0 129.0 12 017 Charles County 230.0 230.0 199.6 129.0 129.0 129.0 129.0 12 019 Dorchester County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 021 Frederick County 230.0 230.0 199.6 129.0 129.0 129.0 129.0 12 023 Garrett County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 025 Harford County 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12 027 Howard County 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12 029 Kent County 174.0 174.0 155.1 129.0 129.0 129.0 129.0 12 031 Montgomery County 230.0 230.0 199.6 129.0 129.0 129.0 129.0 12 033 Prince George's County 230.0 230.0 199.6 129.0 129.0 129.0 129.0 12 035 Queen Anne's County 174.0 174.0 155.1 129.0 129.0 129.0 129.0 12 037 St. Mary's County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 039 Somerset County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 041 Talbot County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 043 Washington County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 045 Wicomico County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 047 Worcester County 207.9 207.9 191.9 191.9 170.5 170.5 170.5 17 510 Baltimore city 211.0 211.0 184.0 129.0 129.0 129.0 129.0 12

Appen
Table C-1 (continued) 

C-6 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

25 MASSACHUSETTS 

RVP, psi  001 Barnstable County 13.5 13.5 13.5 13.5 6.7 6.7 6.7 

 003 Berkshire County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  005 Bristol County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  007 Dukes County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  009 Essex County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  011 Franklin County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  013 Hampden County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  015 Hampshire County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  017 Middlesex County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  019 Nantucket County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  021 Norfolk County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  023 Plymouth County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  025 Suffolk County 13.5 13.5 13.5 13.5 6.7 6.7 6.7  027 Worcester County 13.5 13.5 13.5 13.5 6.7 6.7 6.7 

Oxygen Weight Percent 

 001 Barnstable County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 003 Berkshire County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 005 Bristol County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 007 Dukes County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2.1 009 Essex County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2.1 011 Franklin County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 013 Hampden County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 015 Hampshire County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 017 Middlesex County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 019 Nantucket County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2.1 021 Norfolk County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 023 Plymouth County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 025 Suffolk County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2. 027 Worcester County 1.5002 1.5002 1.5002 1.5002 2.1075 2.1075 2.1075 2.

Gasoline Sulfur, ppm 

 001 Barnstable County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 003 Berkshire County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 005 Bristol County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 007 Dukes County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 009 Essex County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 011 Franklin County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 013 Hampden County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 015 Hampshire County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 017 Middlesex County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 019 Nantucket County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 021 Norfolk County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 023 Plymouth County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 025 Suffolk County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 027 Worcester County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12

Appen
Table C-1 (continued) 

C-7 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

33 NEW HAMPSHIRE 

RVP, psi  001 Belknap County 13.6 13.6 11.2 11.2 7.9 7.9 7.9 

 003 Carroll County 13.6 13.6 11.2 11.2 7.9 7.9 7.9  005 Cheshire County 13.6 13.6 11.2 11.2 7.9 7.9 7.9  007 Coos County 13.6 13.6 11.2 11.2 7.9 7.9 7.9  009 Grafton County 13.6 13.6 11.2 11.2 7.9 7.9 7.9  011 Hillsborough County 12.9 12.9 10.2 10.2 6.7 6.7 6.7  013 Merrimack County 12.9 12.9 10.2 10.2 6.7 6.7 6.7  015 Rockingham County 12.9 12.9 10.2 10.2 6.7 6.7 6.7  017 Strafford County 12.9 12.9 10.2 10.2 6.7 6.7 6.7  019 Sullivan County 13.6 13.6 11.2 11.2 7.9 7.9 7.9 

Oxygen Weight Percent 

 001 Belknap County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2 003 Carroll County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2 005 Cheshire County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2 007 Coos County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2 009 Grafton County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2 011 Hillsborough County 1.8217 1.8217 1.9110 1.9110 2.0182 2.0182 2.0182 2.0 013 Merrimack County 1.8217 1.8217 1.9110 1.9110 2.0182 2.0182 2.0182 2.0 015 Rockingham County 1.9825 1.9825 2.0539 2.0539 2.1432 2.1432 2.1432 2. 017 Strafford County 1.9825 1.9825 2.0539 2.0539 2.1432 2.1432 2.1432 2. 019 Sullivan County 0.1786 0.1786 0.2322 0.2322 0.2858 0.2858 0.2858 0.2

Gasoline Sulfur, ppm 

 001 Belknap County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18 003 Carroll County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18 005 Cheshire County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18 007 Coos County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18 009 Grafton County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18 011 Hillsborough County 121.0 121.0 101.3 101.3 75.0 75.0 75.0 7

 013 Merrimack County 121.0 121.0 101.3 101.3 75.0 75.0 75.0 7 015 Rockingham County 148.0 148.0 121.0 121.0 85.0 85.0 85.0 8 017 Strafford County 148.0 148.0 121.0 121.0 85.0 85.0 85.0 8 019 Sullivan County 228.1 228.1 208.6 208.6 182.5 182.5 182.5 18

34 NEW JERSEY 

RVP, psi  001 Atlantic County 13.4 13.4 10.6 10.6 6.8 6.8 6.8 

 003 Bergen County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  005 Burlington County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  007 Camden County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  009 Cape May County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  011 Cumberland County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  013 Essex County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  015 Gloucester County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  017 Hudson County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  019 Hunterdon County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  021 Mercer County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  023 Middlesex County 12.5 12.5 10.1 10.1 6.8 6.8 6.8 

Appen
Table C-1 (continued) 

C-8 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

34 NEW JERSEY 025 Monmouth County 12.5 12.5 10.1 10.1 6.8 6.8 6.8 

(cont’d) 027 Morris County 12.5 12.5 10.1 10.1 6.8 6.8 6.8 

 029 Ocean County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  031 Passaic County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  033 Salem County 13.4 13.4 10.6 10.6 6.8 6.8 6.8  035 Somerset County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  037 Sussex County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  039 Union County 12.5 12.5 10.1 10.1 6.8 6.8 6.8  041 Warren County 13.4 13.4 10.6 10.6 6.8 6.8 6.8 

Oxygen Weight Percent 

 001 Atlantic County 1.6922 1.6922 1.8499 1.8499 2.0718 2.0718 2.0718 2.0 003 Bergen County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 005 Burlington County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 007 Camden County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 009 Cape May County 1.6922 1.6922 1.8499 1.8499 2.0718 2.0718 2.0718 2.0 011 Cumberland County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 013 Essex County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 015 Gloucester County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 017 Hudson County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 019 Hunterdon County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 021 Mercer County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 023 Middlesex County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 025 Monmouth County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 027 Morris County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 029 Ocean County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 031 Passaic County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 033 Salem County 1.8442 1.8442 1.9457 1.9457 2.0896 2.0896 2.0896 2.0 035 Somerset County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 037 Sussex County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 039 Union County 1.7172 1.7172 1.7660 1.7660 1.8234 1.8234 1.8234 1.8 041 Warren County 1.8753 1.8753 1.9110 1.9110 1.9825 1.9825 1.9825 1.9

Gasoline Sulfur, ppm 

 001 Atlantic County 207.0 207.0 174.0 174.0 130.0 130.0 130.0 13 003 Bergen County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 005 Burlington County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 007 Camden County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 009 Cape May County 207.0 207.0 174.0 174.0 130.0 130.0 130.0 13 011 Cumberland County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 013 Essex County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 015 Gloucester County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 017 Hudson County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 019 Hunterdon County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 021 Mercer County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13 023 Middlesex County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 025 Monmouth County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 027 Morris County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 029 Ocean County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 031 Passaic County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11

Appen
Table C-1 (continued) 

C-9 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

34 NEW JERSEY 033 Salem County 174.0 174.0 155.1 155.1 130.0 130.0 130.0 13

(cont’d) 035 Somerset County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11

037 Sussex County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11

 039 Union County 141.0 141.0 129.4 129.4 114.0 114.0 114.0 11 041 Warren County 125.0 125.0 123.7 123.7 122.0 122.0 122.0 12

36 NEW YORK 

RVP, psi  001 Albany County 12.7 12.7 12.6 10.9 8.6 8.3 8.3 

 003 Allegany County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  005 Bronx County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  007 Broome County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  009 Cattaraugus County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  011 Cayuga County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  013 Chautauqua County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  015 Chemung County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  017 Chenango County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  019 Clinton County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  021 Columbia County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  023 Cortland County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  025 Delaware County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  027 Dutchess County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  029 Erie County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  031 Essex County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  033 Franklin County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  035 Fulton County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  037 Genesee County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  039 Greene County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  041 Hamilton County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  043 Herkimer County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  045 Jefferson County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  047 Kings County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  049 Lewis County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  051 Livingston County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  053 Madison County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  055 Monroe County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  057 Montgomery County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  059 Nassau County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  061 New York County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  063 Niagara County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  065 Oneida County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  067 Onondaga County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  069 Ontario County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  071 Orange County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  073 Orleans County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  075 Oswego County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  077 Otsego County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  079 Putnam County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  081 Queens County 12.8 12.6 12.1 9.0 6.8 6.7 6.6 

Appen
Table C-1 (continued) 

C-10 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

36 NEW YORK 083 Rensselaer County 12.7 12.7 12.6 10.9 8.6 8.3 8.3 

(cont’d) 085 Richmond County 12.8 12.6 12.1 9.0 6.8 6.7 6.6 

 087 Rockland County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  089 St. Lawrence County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  091 Saratoga County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  093 Schenectady County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  095 Schoharie County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  097 Schuyler County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  099 Seneca County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  101 Steuben County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  103 Suffolk County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  105 Sullivan County 12.7 12.7 12.6 10.9 8.6 8.3 8.3 

 107 Tioga County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  109 Tompkins County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  111 Ulster County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  113 Warren County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  115 Washington County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  117 Wayne County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  119 Westchester County 12.8 12.6 12.1 9.0 6.8 6.7 6.6  121 Wyoming County 12.7 12.7 12.6 10.9 8.6 8.3 8.3  123 Yates County 12.7 12.7 12.6 10.9 8.6 8.3 8.3 

Oxygen Weight Percent 

 001 Albany County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 003 Allegany County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 005 Bronx County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 007 Broome County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 009 Cattaraugus County 0.8965 1.0344 0.8275 0.6551 0.8965 0.5862 0.8275 0.9 011 Cayuga County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 013 Chautauqua County 0.8965 1.0344 0.8275 0.6551 0.8965 0.5862 0.8275 0.9 015 Chemung County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 017 Chenango County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 019 Clinton County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 021 Columbia County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 023 Cortland County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 025 Delaware County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 027 Dutchess County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 029 Erie County 0.8965 1.0344 0.8275 0.6551 0.8965 0.5862 0.8275 0.9 031 Essex County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 033 Franklin County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 035 Fulton County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 037 Genesee County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 039 Greene County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 041 Hamilton County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 043 Herkimer County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 045 Jefferson County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 047 Kings County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 049 Lewis County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 051 Livingston County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 053 Madison County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9

Appen
Table C-1 (continued) 

C-11 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

36 NEW YORK 055 Monroe County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9

(cont’d) 057 Montgomery County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9

 059 Nassau County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 061 New York County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 063 Niagara County 0.8965 1.0344 0.8275 0.6551 0.8965 0.5862 0.8275 0.9 065 Oneida County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 067 Onondaga County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 069 Ontario County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 071 Orange County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 073 Orleans County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 075 Oswego County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 077 Otsego County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 079 Putnam County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 081 Queens County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 083 Rensselaer County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 085 Richmond County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 087 Rockland County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 089 St. Lawrence County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 091 Saratoga County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 093 Schenectady County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 095 Schoharie County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 097 Schuyler County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 099 Seneca County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 101 Steuben County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 103 Suffolk County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 105 Sullivan County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9

 107 Tioga County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 109 Tompkins County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 111 Ulster County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 113 Warren County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 115 Washington County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 117 Wayne County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 119 Westchester County 1.8932 1.9467 1.8932 1.8753 1.9646 1.9467 1.9646 1.8 121 Wyoming County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9 123 Yates County 0.8751 1.0180 0.8216 0.6430 0.8930 0.5894 0.8216 0.9

Gasoline Sulfur, ppm 

 001 Albany County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 003 Allegany County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 005 Bronx County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 007 Broome County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 009 Cattaraugus County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 011 Cayuga County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 013 Chautauqua County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 015 Chemung County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 017 Chenango County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 019 Clinton County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 021 Columbia County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 023 Cortland County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 025 Delaware County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29

Appen
Table C-1 (continued) 

C-12 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

36 NEW YORK 027 Dutchess County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29

(cont’d) 029 Erie County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29

 031 Essex County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 033 Franklin County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 035 Fulton County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 037 Genesee County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 039 Greene County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 041 Hamilton County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 043 Herkimer County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 045 Jefferson County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 047 Kings County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 049 Lewis County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 051 Livingston County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 053 Madison County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 055 Monroe County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 057 Montgomery County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 059 Nassau County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 061 New York County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 063 Niagara County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 065 Oneida County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 067 Onondaga County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 069 Ontario County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 071 Orange County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 073 Orleans County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 075 Oswego County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 077 Otsego County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 079 Putnam County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 081 Queens County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 083 Rensselaer County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 085 Richmond County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 087 Rockland County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 089 St. Lawrence County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 091 Saratoga County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 093 Schenectady County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 095 Schoharie County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 097 Schuyler County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 099 Seneca County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 101 Steuben County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 103 Suffolk County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 105 Sullivan County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29

 107 Tioga County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 109 Tompkins County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 111 Ulster County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 113 Warren County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 115 Washington County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 117 Wayne County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 119 Westchester County 210.0 220.0 180.0 200.0 220.0 210.0 220.0 19 121 Wyoming County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29 123 Yates County 260.0 250.0 250.0 230.0 310.0 320.0 340.0 29

Appen
Table C-1 (continued) 

C-13 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

42 PENNSYLVANIA 

RVP, psi  001 Adams County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

 003 Allegheny County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  005 Armstrong County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  007 Beaver County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  009 Bedford County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  011 Berks County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  013 Blair County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  015 Bradford County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  017 Bucks County 13.5 13.5 10.6 10.6 6.7 6.7 6.7  019 Butler County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  021 Cambria County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  023 Cameron County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  025 Carbon County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  027 Centre County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  029 Chester County 13.5 13.5 10.6 10.6 6.7 6.7 6.7  031 Clarion County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  033 Clearfield County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  035 Clinton County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  037 Columbia County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  039 Crawford County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  041 Cumberland County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  043 Dauphin County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  045 Delaware County 13.5 13.5 10.6 10.6 6.7 6.7 6.7  047 Elk County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  049 Erie County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  051 Fayette County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  053 Forest County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  055 Franklin County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  057 Fulton County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  059 Greene County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  061 Huntingdon County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  063 Indiana County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  065 Jefferson County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  067 Juniata County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  069 Lackawanna County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  071 Lancaster County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  073 Lawrence County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  075 Lebanon County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  077 Lehigh County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  079 Luzerne County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  081 Lycoming County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  083 McKean County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  085 Mercer County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  087 Mifflin County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  089 Monroe County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  091 Montgomery County 13.5 13.5 10.6 10.6 6.7 6.7 6.7  093 Montour County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

Appen
Table C-1 (continued) 

C-14 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

42 PENNSYLVANIA 095 Northampton County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

(cont’d) 097 Northumberland County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

 099 Perry County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  101 Philadelphia County 13.5 13.5 10.6 10.6 6.7 6.7 6.7  103 Pike County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  105 Potter County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  107 Schuylkill County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

 109 Snyder County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  111 Somerset County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  113 Sullivan County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

 115 Susquehanna County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  117 Tioga County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  119 Union County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  121 Venango County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  123 Warren County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  125 Washington County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  127 Wayne County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  129 Westmoreland County 13.5 13.5 11.0 11.0 7.8 7.8 7.8  131 Wyoming County 13.5 13.5 11.0 11.0 8.7 8.7 8.7  133 York County 13.5 13.5 11.0 11.0 8.7 8.7 8.7 

Oxygen Weight Percent 

 001 Adams County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 003 Allegheny County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 005 Armstrong County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 007 Beaver County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 009 Bedford County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 011 Berks County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 013 Blair County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 015 Bradford County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 017 Bucks County 2.5303 2.5303 2.5303 2.5303 2.1075 2.1075 2.1075 2.1 019 Butler County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 021 Cambria County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 023 Cameron County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 025 Carbon County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 027 Centre County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 029 Chester County 2.5303 2.5303 2.5303 2.5303 2.1075 2.1075 2.1075 2.1 031 Clarion County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 033 Clearfield County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 035 Clinton County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 037 Columbia County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 039 Crawford County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 041 Cumberland County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 043 Dauphin County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 045 Delaware County 2.5303 2.5303 2.5303 2.5303 2.1075 2.1075 2.1075 2. 047 Elk County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 049 Erie County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 051 Fayette County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 053 Forest County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 055 Franklin County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

Appen
Table C-1 (continued) 

C-15 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

42 PENNSYLVANIA 057 Fulton County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

(cont’d) 059 Greene County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

 061 Huntingdon County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 063 Indiana County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 065 Jefferson County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 067 Juniata County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 069 Lackawanna County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 071 Lancaster County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 073 Lawrence County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 075 Lebanon County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 077 Lehigh County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 079 Luzerne County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 081 Lycoming County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 083 McKean County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 085 Mercer County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 087 Mifflin County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 089 Monroe County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 091 Montgomery County 2.5303 2.5303 2.5303 2.5303 2.1075 2.1075 2.1075 2. 093 Montour County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 095 Northampton County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 097 Northumberland County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 099 Perry County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 101 Philadelphia County 2.5303 2.5303 2.5303 2.5303 2.1075 2.1075 2.1075 2. 103 Pike County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 105 Potter County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 107 Schuylkill County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

 109 Snyder County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 111 Somerset County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 113 Sullivan County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

 115 Susquehanna County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 117 Tioga County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 119 Union County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 121 Venango County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 123 Warren County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 125 Washington County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 127 Wayne County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 129 Westmoreland County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 131 Wyoming County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2 133 York County 0.1965 0.1965 0.2322 0.2322 0.2679 0.2679 0.2679 0.2

Gasoline Sulfur, ppm 

 001 Adams County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 003 Allegheny County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 005 Armstrong County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 007 Beaver County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 009 Bedford County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 011 Berks County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 013 Blair County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 015 Bradford County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 017 Bucks County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12

Appen
Table C-1 (continued) 

C-16 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

42 PENNSYLVANIA 019 Butler County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

(cont’d) 021 Cambria County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

 023 Cameron County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 025 Carbon County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 027 Centre County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 029 Chester County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 031 Clarion County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 033 Clearfield County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 035 Clinton County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 037 Columbia County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 039 Crawford County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 041 Cumberland County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 043 Dauphin County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 045 Delaware County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 047 Elk County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 049 Erie County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 051 Fayette County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 053 Forest County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 055 Franklin County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 057 Fulton County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 059 Greene County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 061 Huntingdon County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 063 Indiana County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 065 Jefferson County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 067 Juniata County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 069 Lackawanna County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 071 Lancaster County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 073 Lawrence County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 075 Lebanon County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 077 Lehigh County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 079 Luzerne County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 081 Lycoming County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 083 McKean County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 085 Mercer County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 087 Mifflin County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 089 Monroe County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 091 Montgomery County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 093 Montour County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 095 Northampton County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 097 Northumberland County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 099 Perry County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 101 Philadelphia County 279.0 279.0 279.0 279.0 129.0 129.0 129.0 12 103 Pike County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 105 Potter County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 107 Schuylkill County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

 109 Snyder County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 111 Somerset County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 113 Sullivan County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

 115 Susquehanna County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

Appen
Table C-1 (continued) 

C-17 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

42 PENNSYLVANIA 117 Tioga County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

(cont’d) 119 Union County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

 121 Venango County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 123 Warren County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 125 Washington County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 127 Wayne County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 129 Westmoreland County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 131 Wyoming County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27 133 York County 279.0 279.0 279.0 279.0 279.0 279.0 279.0 27

44 RHODE ISLAND 

RVP, psi  001 Bristol County 12.5 12.5 10.1 10.1 6.9 6.9 6.9 

 003 Kent County 12.5 12.5 10.1 10.1 6.9 6.9 6.9  005 Newport County 12.5 12.5 10.1 10.1 6.9 6.9 6.9  007 Providence County 12.5 12.5 10.1 10.1 6.9 6.9 6.9  009 Washington County 12.5 12.5 10.1 10.1 6.9 6.9 6.9 

Oxygen Weight Percent 

 001 Bristol County 1.7110 1.7110 1.6801 1.6801 1.6745 1.6745 1.6745 1.6 003 Kent County 1.7110 1.7110 1.6801 1.6801 1.6745 1.6745 1.6745 1.6 005 Newport County 1.7110 1.7110 1.6801 1.6801 1.6745 1.6745 1.6745 1.6 007 Providence County 1.7110 1.7110 1.6801 1.6801 1.6745 1.6745 1.6745 1.6 009 Washington County 1.7110 1.7110 1.6801 1.6801 1.6745 1.6745 1.6745 1.6

Gasoline Sulfur, ppm 

 001 Bristol County 193.0 193.0 166.4 166.4 131.0 131.0 131.0 13 003 Kent County 193.0 193.0 166.4 166.4 131.0 131.0 131.0 13 005 Newport County 193.0 193.0 166.4 166.4 131.0 131.0 131.0 13 007 Providence County 193.0 193.0 166.4 166.4 131.0 131.0 131.0 13 009 Washington County 193.0 193.0 166.4 166.4 131.0 131.0 131.0 13

Appen
Table C-1 (continued) 

C-18 

FIPS_State State FIPS_County County JAN FEB MAR APR MAY JUN JUL A

50 VERMONT 

RVP, psi  001 Addison County 9.5 9.5 9.5 9.5 8.5 8.5 8.5 

 003 Bennington County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  005 Caledonia County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  007 Chittenden County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  009 Essex County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  011 Franklin County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  013 Grand Isle County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  015 Lamoille County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  017 Orange County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  019 Orleans County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  021 Rutland County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  023 Washington County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  025 Windham County 9.5 9.5 9.5 9.5 8.5 8.5 8.5  027 Windsor County 9.5 9.5 9.5 9.5 8.5 8.5 8.5 

Oxygen Weight Percent 

 001 Addison County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 003 Bennington County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 005 Caledonia County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 007 Chittenden County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 009 Essex County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 011 Franklin County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 013 Grand Isle County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 015 Lamoille County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 017 Orange County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 019 Orleans County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 021 Rutland County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 023 Washington County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 025 Windham County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2 027 Windsor County 0.1786 0.1786 0.2143 0.2143 0.2679 0.2679 0.2679 0.2

Gasoline Sulfur, ppm 

 001 Addison County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 003 Bennington County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 005 Caledonia County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 007 Chittenden County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 009 Essex County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 011 Franklin County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 013 Grand Isle County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 015 Lamoille County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18

 017 Orange County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 019 Orleans County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 021 Rutland County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 023 Washington County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 025 Windham County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18 027 Windsor County 209.3 209.3 209.3 209.3 183.1 183.1 183.1 18

Appen
Attachment 13b_MANEVU Emission 

Projections TSD 07Dec2006.pdf
Development of Emission Projections 

for 2009, 2012, and 2018 

for NonEGU Point, Area, and Nonroad Sources 

in the MANE-VU Region 

Draft Final Technical Support Document 

Prepared for: 

Mid-Atlantic Regional Air Management Association (MARAMA) 

Prepared by: 

MACTEC Federal Programs, Inc. 

December 7, 2006 

______________________ ______________________ 

Edward Sabo Douglas A. Toothman 

Principal Scientist Principal Engineer

Appendix G Att. 13b - Page Number

1
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Page i 

MACTEC Federal Programs, Inc. 

Table of Contents 

1.0 EXECUTIVE SUMMARY ................................................................................................. 1-1

2.0 NONEGU POINT SOURCES ............................................................................................ 2-1

2.1 INITIAL 2002 POINT SOURCE EMISSION INVENTORY ..................................... 2-1 

2.2 NONEGU POINT SOURCE GROWTH FACTORS .................................................. 2-3 

2.2.1 EGAS 5.0 Growth Factors ....................................................................................... 2-3

2.2.2 AEO2005 Growth Factors ....................................................................................... 2-4

2.2.3 State Specific Growth Factors .................................................................................2-5

2.2.3.1 Connecticut ...................................................................................................... 2-5 

2.2.3.2 Delaware ..........................................................................................................2-5 

2.2.3.3 District of Columbia ........................................................................................ 2-5 

2.2.3.4 Maine ............................................................................................................... 2-5

2.2.3.5 Maryland..........................................................................................................2-6 

2.2.3.6 Massachusetts ..................................................................................................2-6 

2.2.3.7 New Hampshire ............................................................................................... 2-6 

2.2.3.8 New Jersey....................................................................................................... 2-6 

2.2.3.9 New York......................................................................................................... 2-6 

2.2.3.10 Pennsylvania .................................................................................................... 2-6 

2.2.3.11 Rhode Island .................................................................................................... 2-7 

2.2.3.12 Vermont ........................................................................................................... 2-7 

2.3 NONEGU POINT SOURCE CONTROL FACTORS ................................................. 2-7 

2.3.1 NOx SIP Call Phase I ..............................................................................................2-8

2.3.2 NOx SIP Call Phase II .............................................................................................2-8

2.3.3 NOx RACT in 1-hour Ozone SIPs............................................................................ 2-8

2.3.4 NOx OTC 2001 Model Rule for ICI Boilers ............................................................2-9

2.3.5 2-, 4-, 7-, and 10-year MACT Standards ................................................................. 2-9

2.3.6 Combustion Turbine and RICE MACT.................................................................. 2-10

2.3.7 Industrial Boiler/Process Heater MACT ............................................................... 2-10

2.3.8 Refinery Enforcement Initiative .............................................................................2-10

2.3.9 Source Shutdowns .................................................................................................. 2-12

2.3.10 State Specific Control Factors........................................................................... 2-12

2.4 NONEGU POINT SOURCE QA/QC REVIEW........................................................2-12 

2.5 NONEGU POINT SOURCE NIF AND SMOKE FILES........................................... 2-14 

2.6 NONEGU POINT SOURCE EMISSION SUMMARIES ......................................... 2-14 

3.0 AREA SOURCES ................................................................................................................ 3-1

Appendix G Att. 13b - Page Number

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3.1 INITIAL 2002 AREA SOURCE EMISSION INVENTORY ...................................... 3-1 

3.2 AREA SOURCE GROWTH FACTORS..................................................................... 3-2 

3.2.1 EGAS 5.0 Growth Factors ....................................................................................... 3-3

3.2.2 AEO2005 Growth Factors ....................................................................................... 3-3

3.2.3 State Specific Growth Factors .................................................................................3-4

3.2.3.1 Connecticut ...................................................................................................... 3-4 

3.2.3.2 Delaware ..........................................................................................................3-4 

3.2.3.3 District of Columbia ........................................................................................ 3-5 

3.2.3.4 Maine ............................................................................................................... 3-5

3.2.3.5 Maryland..........................................................................................................3-5 

3.2.3.6 Massachusetts ..................................................................................................3-5 

3.2.3.7 New Hampshire ............................................................................................... 3-5 

3.2.3.8 New Jersey....................................................................................................... 3-5 

3.2.3.9 New York......................................................................................................... 3-5 

3.2.3.10 Pennsylvania .................................................................................................... 3-6 

3.2.3.11 Rhode Island .................................................................................................... 3-6 

3.2.3.12 Vermont ........................................................................................................... 3-6 

3.3 AREA SOURCE CONTROL FACTORS.................................................................... 3-6 

3.3.1 OTC 2001 VOC Model Rules................................................................................... 3-7

3.3.2 On-Board Vapor Recovery .................................................................................... 3-10

3.3.3 Post-2002 Area Source Controls in New Jersey.................................................... 3-11

3.3.4 Residential Wood Combustion...............................................................................3-11

3.4 AREA SOURCE QA/QC REVIEW ..........................................................................3-12 

3.5 AREA SOURCE NIF, SMOKE AND SUMMARY FILES....................................... 3-12 

3.6 AREA SOURCE EMISSION SUMMARIES............................................................ 3-12 

4.0 NONROAD SOURCES....................................................................................................... 4-1

4.1 NONROAD MODEL SOURCES................................................................................ 4-1 

4.2 AIRCRAFT, COMMERCIAL MARINE, AND LOCOMOTIVES ............................ 4-2 

4.2.1 Maryland Non-NONROAD Source Emissions......................................................... 4-3

4.2.2 DC Locomotive Emissions ....................................................................................... 4-4

4.2.3 Logan (Boston) Airport Emissions........................................................................... 4-4

4.3 NONROAD QA/QC REVIEW....................................................................................4-4 

4.4 NONROAD NIF, SMOKE, AND SUMMARY FILES ............................................... 4-5 

4.5 NONROAD EMISSION SUMMARIES ..................................................................... 4-5 

5.0 BEYOND-ON-THE-WAY EMISSION INVENTORY.................................................... 5-1

5.1 NONEGU POINT SOURCES ..................................................................................... 5-2 

Appendix G Att. 13b - Page Number

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Page iii 

MACTEC Federal Programs, Inc. 

5.1.1 Adhesives and Sealants Application ........................................................................5-7

5.1.2 Asphalt Production Plants .......................................................................................5-7

5.1.3 Cement Kilns............................................................................................................ 5-8

5.1.4 Glass and Fiberglass Furnaces ...............................................................................5-8

5.1.5 Industrial, Commercial, and Institutional Boilers................................................... 5-8

5.1.6 Commercial and Institutional Heating Oil ............................................................ 5-10

5.1.7 BOTW Area Source NIF, SMOKE, and Summary Files........................................5-10

5.1.8 BOTW Area Source Emission Summaries .............................................................5-10

5.2 AREA SOURCES...................................................................................................... 5-19 

5.2.1 Adhesives and Sealants..........................................................................................5-19

5.2.2 Asphalt Paving.......................................................................................................5-23

5.2.3 Consumer Products................................................................................................5-23

5.2.4 Portable Fuel Containers ...................................................................................... 5-24

5.2.5 Industrial/Commercial/Institutional Boilers.......................................................... 5-25

5.2.6 Residential and Commercial Heating Oil.............................................................. 5-26

5.2.7 BOTW Area Source NIF, SMOKE, and Summary Files........................................5-26

5.2.8 BOTW Area Source Emission Summaries .............................................................5-26

5.3 NONROAD MOBILE SOURCES...................................................................................... 5-35 

5.4 ELECTRIC GENERATING UNITS ................................................................................... 5-35 

5.5 ONROAD MOBILE SOURCES ........................................................................................ 5-35 

List of Appendices 

Appendix A - NonEGU Point Source Growth Factors 

Appendix B - NonEGU Point Source Control Factors 

Appendix C - Area Source Growth Factors 

Appendix D - Area Source Control Factors 

Appendix G Att. 13b - Page Number

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List of Tables 

Figure 1-1 Base Year, OTB/OTW AND BOTW Annual CO Emissions 

Table 1-1 Summary of MANE-VU Area, NonEGU, and Nonroad Emission Inventory by 

Pollutant, Sector, and Year 

Table 2-1 NonEGU Point Source NIF, IDA, and Summary File Names 

Table 2-2 NonEGU Point Source OTB/OTW Annual CO Emission Projections 

Table 2-3 NonEGU Point Source OTB/OTW Annual NH3 Emission Projections 

Table 2-4 NonEGU Point Source OTB/OTW Annual NOx Emission Projections 

Table 2-5 NonEGU Point Source OTB/OTW Annual PM10-PRI Emission Projections 

Table 2-6 NonEGU Point Source OTB/OTW Annual PM25-PRI Emission Projections 

Table 2-7 NonEGU Point Source OTB/OTW Annual SO2 Emission Projections 

Table 2-8 NonEGU Point Source OTB/OTW Annual VOC Emission Projections 

Table 3-1 Adoption Matrix for 2001 OTC Model Rules 

Table 3-2 Rule Penetration and Control Efficiency Values for 2001 OTC Model Rule for 

PFCs 

Table 3-3 Area Source NIF, IDA, and Summary File Names 

Table 3-4 Area Source OTB/OTW Annual CO Emission Projections 

Table 3-5 Area Source OTB/OTW Annual NH3 Emission Projections 

Table 3-6 Area Source OTB/OTW Annual NOx Emission Projections 

Table 3-7 Area Source OTB/OTW Annual PM10-PRI Emission Projections 

Table 3-8 Area Source OTB/OTW Annual PM25-PRI Emission Projections 

Table 3-9 Area Source OTB/OTW Annual SO2 Emission Projections 

Table 3-10 Area Source OTB/OTW Annual VOC Emission Projections 

Table 4-1 Nonroad Source NIF, IDA, and Summary File Names 

Table 4-2a All Nonroad Sources OTB/OTW Annual CO Emission Projections 

Table 4-2b NONROAD Model Sources OTB/OTW Annual CO Emission Projections 

Table 4-2c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual CO Emission Projections 

Table 4-3a All Nonroad Sources OTB/OTW Annual NH3 Emission Projections 

Table 4-3b NONROAD Model Sources OTB/OTW Annual NH3 Emission Projections 

Table 4-3c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual NH3 Emission Projections 

Table 4-4a All Nonroad Sources OTB/OTW Annual NOx Emission Projections 

Table 4-4b NONROAD Model Sources OTB/OTW Annual NOx Emission Projections 

Table 4-4c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual NOx Emission Projections 

Appendix G Att. 13b - Page Number

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List of Tables (cont.) 

Table 4-5a All Nonroad Sources OTB/OTW Annual PM10-PRI Emission Projections 

Table 4-5b NONROAD Model Sources OTB/OTW Annual PM10-PRI Emission Projections 

Table 4-5c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual PM10-PRI Emission Projections 

Table 4-6a All Nonroad Sources OTB/OTW Annual PM25-PRI Emission Projections 

Table 4-6b NONROAD Model Sources OTB/OTW Annual PM25-PRI Emission Projections 

Table 4-6c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual PM25-PRI Emission Projections 

Table 4-7a All Nonroad Sources OTB/OTW Annual SO2 Emission Projections 

Table 4-7b NONROAD Model Sources OTB/OTW Annual SO2 Emission Projections 

Table 4-7c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual SO2 Emission Projections 

Table 4-8a All Nonroad Sources OTB/OTW Annual VOC Emission Projections 

Table 4-8b NONROAD Model Sources OTB/OTW Annual VOC Emission Projections 

Table 4-8c Aircraft, Locomotive, and Commercial Marine Vessel Sources OTB/OTW 

Annual VOC Emission Projections 

Table 5-1 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – NOx Emissions from NonEGU Point Sources 

Table 5-2 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – NOx Emissions from ICI Boilers 

Table 5-3 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – SO2 Emissions from NonEGU Point Sources 

Table 5-4 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – VOC Emissions from NonEGU Point Sources 

Table 5-5 BOTW NonEGU NIF, IDA, and Summary File Names 

Table 5-6 NonEGU Point Sources OTB/OTW and BOTW Annual CO Emission Projections 

Table 5-7 NonEGU Point Sources OTB/OTW and BOTW Annual NH3 Emission 

Projections 

Table 5-8 NonEGU Point Sources OTB/OTW and BOTW Annual NOx Emission 

Projections 

Table 5-9 NonEGU Point Sources OTB/OTW and BOTW Annual PM10 Emission 

Projections 

Table 5-10 NonEGU Point Sources OTB/OTW and BOTW Annual PM2.5 Emission 

Projections 

Table 5-11 NonEGU Point Sources OTB/OTW and BOTW Annual SO2 Emission 

Projections 

Table 5-12 NonEGU Point Sources OTB/OTW and BOTW Annual VOC Emission 

Projections 

Appendix G Att. 13b - Page Number

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List of Tables (cont.) 

Table 5-13 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – NOx Emissions from Area Sources 

Table 5-14 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – SO2 Emissions from Area Sources 

Table 5-15 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – VOC Emissions from Area Sources 

Table 5-16 BOTW Area Source NIF, IDA, and Summary File Names 

Table 5-17 Area Point Sources OTB/OTW and BOTW Annual CO Emission Projections 

Table 5-18 Area Point Sources OTB/OTW and BOTW Annual NH3 Emission Projections 

Table 5-19 Area Point Sources OTB/OTW and BOTW Annual NOx Emission Projections 

Table 5-20 Area Point Sources OTB/OTW and BOTW Annual PM10 Emission Projections 

Table 5-21 Area Point Sources OTB/OTW and BOTW Annual PM2.5 Emission Projections 

Table 5-22 Area Point Sources OTB/OTW and BOTW Annual SO2 Emission Projections 

Table 5-23 Area Point Sources OTB/OTW and BOTW Annual VOC Emission Projections 

Appendix G Att. 13b - Page Number

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List of Figures 

Figure 1-1 Base Year, OTB/OTW AND BOTW Annual CO Emissions 

Figure 1-2 Base Year, OTB/OTW AND BOTW Annual NH3 Emissions 

Figure 1-3 Base Year, OTB/OTW AND BOTW Annual NOx Emissions 

Figure 1-4 Base Year, OTB/OTW AND BOTW Annual SO2 Emissions 

Figure 1-5 Base Year, OTB/OTW AND BOTW Annual PM10 Emissions 

Figure 1-6 Base Year, OTB/OTW AND BOTW Annual PM2.5 Emissions 

Figure 1-7 Base Year, OTB/OTW AND BOTW Annual VOC Emissions 

Appendix G Att. 13b - Page Number

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Acronyms and Abbreviations 

Acronym Description 

AEO Annual Energy Outlook 

BOTW Beyond-on-the-Way emission controls 

CAIR Clean Air Interstate Rule 

EGAS 5.0 Economic Growth Analysis System Version 5.0 

EGU Electric Generating Unit 

EIA Energy Information Agency 

EPA U.S. Environmental Protection Agency 

IDA Inventory Data Analyzer (data format used by SMOKE modeling system) 

IPM Integrated Planning Model 

MANE-VU Mid-Atlantic/Northeast Visibility Union 

MARAMA Mid-Atlantic Regional Air Management Association 

MOBILE6 U.S. EPA’s emission model for onroad sources 

NESCAUM Northeast States for Coodinated Air Use Management 

NH3 Ammonia 

NIF3.0 National Emission Inventory Input Format Version 3.0 

NMIM National Mobile Inventory Model 

NONROAD U.S. EPA’s emission model for certain types of nonroad equipment 

NOx Oxides of nitrogen 

OTB/OTW On-the-Books/On-the-Way 

OTC Ozone Transport Commission 

PM10-PRI Particulate matter less than or equal to 10 microns in diameter that includes both the 

filterable and condensable components of particulate matter 

PM25-PRI Particulate matter less than or equal to 2.5 microns in diameter that includes both 

the filterable and condensable components of particulate matter 

SIC Standard Industrial Classification code 

SIP State Implementation Plan 

SCC Source Classification Code 

SMOKE Sparse Matrix Operator Kernel Emissions Modeling System 

SO2 Sulfur dioxide 

VOC Volatile organic compounds 

Appendix G Att. 13b - Page Number

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MACTEC Federal Programs, Inc. 

1.0 EXECUTIVE SUMMARY 

This report was prepared for the Mid-Atlantic Regional Air Management Association 

(MARAMA) as part of an effort to assist states in developing State Implementation Plans (SIPs) 

for ozone, fine particles, and regional haze. It describes the data sources, methods, and results 

for emission forecasts for three years, three emission sectors, two emission control scenarios; 

seven pollutants, and 11 states plus the District of Columbia. The following is a summary of the 

future year inventories that were developed: 

• The three projection years are 2009, 2012, and 2018. 

• The three source sectors are non-Electric Generating Units (non-EGUs), area sources, 

and nonroad mobile sources. (Note: under separate efforts, MANE-VU prepared EGU 

projections using the Integrated Planning Model {IPM} and onroad mobile source 

projections using the SMOKE emission modeling system). 

• The two emission control scenarios are: a) a combined “on-the-books/on-the-way” 

(OTB/W) control strategy accounting for emission control regulations already in place as 

well as emission control regulations that are not yet finalized but are likely to achieve 

additional reductions by 2009; and b) a “beyond-on-the-way” (BOTW) scenarios to 

account for controls from potential new regulations that may be necessary to meet 

attainment and other regional air quality goals. 

• The seven pollutants are sulfur dioxide (SO2), oxides of nitrogen (NOx), volatile organic 

compounds (VOC), carbon monoxide (CO), particulate matter less than or equal to 10 

microns in diameter that includes both the filterable and condensable components of 

particulate matter (PM10-PRI), particulate matter less than or equal to 2.5 microns in 

diameter that includes both the filterable and condensable components of particulate 

matter (PM25-PRI), and ammonia (NH3). 

• The states are those that comprise the Mid-Atlantic/Northeast Visibility Union (MANEVU) region. In addition to the District of Columbia, the 11 MANE-VU states are 

Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, 

New York, Pennsylvania, Rhode Island, and Vermont. 

The results of the emission projections are summarized in Table 1-1 and Figures 1-1 to 1-7. 

Section 2 of this report describes how the nonEGU OTB/W emission projections were made. 

Section 3 describes the methods for the area source emission projections. Section 4 describes the 

methods for the nonroad section, including sources accounted for by the NONROAD model as 

well as aircraft, locomotives, and marine vessels. Section 5 describes the development of the 

BOTW emission projections. 

Appendix G Att. 13b - Page Number

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Section 1 – Executive Summary Page 1-2 

MACTEC Federal Programs, Inc. 

Table 1-1 Summary of MANE-VU Area, NonEGU, and Nonroad 

Emission Inventory by Pollutant, Sector, and Year 

Pollutant Sector 2002 2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CO Area 1,326,796 1,283,959 1,283,959 1,260,627 1,260,627 1,211,727 1,211,727

 NonEGU 295,577 328,546 328,546 346,090 346,090 412,723 412,723

 Nonroad 4,553,124 4,969,925 4,969,925 5,099,538 5,099,538 5,401,353 5,401,353

 6,175,497 6,582,430 6,582,430 6,706,255 6,706,255 7,025,803 7,025,803

NH3 Area 249,795 294,934 294,934 312,419 312,419 341,746 341,746

 NonEGU 3,916 4,301 4,301 4,448 4,448 4,986 4,986

 Nonroad 287 317 317 337 337 369 369

 253,998 299,552 299,552 317,204 317,204 347,101 347,101

NOx Area 265,400 278,038 265,925 281,659 261,057 284,535 263,030

 NonEGU 207,048 210,522 185,658 218,137 184,527 237,802 199,732

 Nonroad 431,631 354,850 354,850 321,935 321,935 271,185 271,185

 904,079 843,410 806,433 821,731 767,519 793,522 733,947

PM10 Area 1,452,309 1,527,586 1,527,586 1,556,316 1,550,400 1,614,476 1,607,602

 NonEGU 51,280 55,869 55,869 57,848 57,624 63,757 63,524

 Nonroad 40,114 34,453 34,453 32,445 32,445 27,059 27,059

 1,543,703 1,617,908 1,617,908 1,646,609 1,640,469 1,705,292 1,698,185

PM2.5 Area 332,521 340,049 340,049 341,875 336,779 345,419 339,461

 NonEGU 33,077 36,497 36,497 37,625 37,444 41,220 41,029

 Nonroad 36,084 30,791 30,791 28,922 28,922 23,938 23,938

 401,682 407,337 407,337 408,422 403,145 410,577 404,428

SO2 Area 286,921 304,018 304,018 305,339 202,058 305,437 190,431

 NonEGU 264,377 249,658 249,658 255,596 253,638 270,433 268,330

 Nonroad 57,257 15,651 15,651 8,731 8,731 8,643 8,643

 608,555 569,327 569,327 569,666 464,427 584,513 467,404

VOC Area 1,528,269 1,398,982 1,363,278 1,382,803 1,339,851 1,387,882 1,334,039

 NonEGU 91,278 92,279 91,718 96,887 96,260 110,524 109,762

 Nonroad 572,751 460,922 460,922 424,257 424,257 380,080 380,080

 2,192,298 1,952,183 1,915,918 1,903,947 1,860,368 1,878,486 1,823,881

OTB/W – on-the-books/way scenario; BOTW – beyond-on-the-way scenario 

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Figure 1-1 Base Year, OTB/OTW AND BOTW Annual CO Emissions 

(tons per year) 

0

2,000,000

4,000,000

6,000,000

8,000,000

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

Tons/Year

Nonroad

NonEGU

Area

Figure 1-2 Base Year, OTB/OTW AND BOTW Annual NH3 Emissions 

(tons per year) 

0

100,000

200,000

300,000

400,000

2002 2009

OTB/W

2009

BOTW

2012

OTB/W

2012

BOTW

2018

OTB/W

2018

BOTW

Tons/Year

Nonroad

NonEGU

Area

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Figure 1-3 Base Year, OTB/OTW AND BOTW Annual NOx Emissions 

(tons per year) 

0

250,000

500,000

750,000

1,000,000

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

Tons/Year

Nonroad

NonEGU

Area

Figure 1-4 Base Year, OTB/OTW AND BOTW Annual SO2 Emissions 

(tons per year) 

0

100,000

200,000

300,000

400,000

500,000

600,000

700,000

2002 2009

OTB/W

2009

BOTW

2012

OTB/W

2012

BOTW

2018

OTB/W

2018

BOTW

Tons/Year

Nonroad

NonEGU

Area

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Figure 1-5 Base Year, OTB/OTW AND BOTW Annual PM10 Emissions 

(tons per year) 

0

400,000

800,000

1,200,000

1,600,000

2,000,000

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

Tons/Year

Nonroad

NonEGU

Area

Figure 1-6 Base Year, OTB/OTW AND BOTW Annual PM2.5 Emissions 

(tons per year) 

0

100,000

200,000

300,000

400,000

500,000

2002 2009

OTB/W

2009

BOTW

2012

OTB/W

2012

BOTW

2018

OTB/W

2018

BOTW

Tons/Year

Nonroad

NonEGU

Area

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Figure 1-7 Base Year, OTB/OTW AND BOTW Annual VOC Emissions 

(tons per year) 

0

500,000

1,000,000

1,500,000

2,000,000

2,500,000

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

Tons/Year

Nonroad

NonEGU

Area

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2.0 NONEGU POINT SOURCES 

Under ideal circumstances, all stationary sources would be considered point sources for 

purposes of emission inventories. In practical applications, however, only sources that 

emit more than a specified cutoff level of pollutant are considered point sources. In 

general, the MANE-VU point source inventory includes only major sources (i.e., those 

required to obtain a Title V operating permit). Some states may include additional 

stationary sources that emit below the major source thresholds. 

For emission projection purposes, the point source inventory is divided into two subsectors – the Electric Generating Unit (EGU) sector and the non-EGU sector – because 

different projections methods are used for these two sectors. For EGUs, MANE-VU used 

the Integrated Planning Model (IPM) to project future generation as well as to calculate the 

impact of future control programs on future emission levels. 

The procedures for projecting emissions for non-EGUs are described in this section. We 

started with the MANE-VU 2002 point source emission inventory, which contains data for 

both EGUs and nonEGUs. We implemented a procedure to split the 2002 point source 

inventory into two components – and EGU inventory for those units accounted for in IPM, 

and a nonEGU inventory for those point sources not accounted for in IPM. For the 

nonEGU sources, we first applied growth factors to account for changes in economic 

activity. Next, we applied control factors to account for future emission reductions from 

on-the-books (OTB) control regulations and on-the-way (OTW) control regulations. The 

OTB control scenario accounts for post-2002 emission reductions from promulgated 

federal, State, local, and site-specific control programs as of June 15, 2005. The OTW 

control scenario accounts for proposed (but not final) control programs that are reasonably 

anticipated to result in post-2002 emission reductions. We then conducted a series of 

quality assurance steps to ensure the development of complete, accurate, and consistent 

emission inventories. We provided the inventories in three formats – the National 

Emission Inventory Input Format (NIF), SMOKE Inventory Data Analyzer (IDA) format, 

and SMOKE growth/control packets. We also prepared emission summary tables by state 

and pollutant. Each of these activities is discussed in this section. 

2.1 INITIAL 2002 POINT SOURCE EMISSION INVENTORY 

The starting point for the nonEGU projections was Version 3 of the MANE-VU 2002 point 

source emission inventory (MANE-VU_2002_Pt_Version 3_040706.MDB). Since this 

file contains both EGUs and nonEGU point sources, and EGU emissions are projected 

using the IPM, it was necessary to split the 2002 point source file into two components. 

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The first component contains those emission units accounted for in the IPM forecasts. The 

second component contains all other point sources not accounted for in IPM. 

The MANE-VU 2002 point source inventory contains a cross-reference table (xwalk 

{MANE-VU}) that matches IPM emission unit identifiers (ORISPL plant code and BLRID 

emission unit code) to MANE-VU NIF emission unit identifiers (FIPSST state code, 

FIPSCNTY county code, State Plant ID, State Point ID). Initially, we used this crossreference table to split the point source file into the EGU and nonEGU components. When 

there was a match between the IPM ORISPL/BLRID and the MANE-VU emission unit ID, 

the unit was assigned to the EGU inventory; all other emission units were assigned to the 

nonEGU inventory. The exception to this rule was for the State of New York. The crossreference table only contained matches at the plant level, not the emission unit level. So 

for New York EGUs accounted for in IPM, all emission units at a plant were assigned to 

the MANE-VU EGU file (including ancillary emission units not accounted for in IPM). 

After performing this initial splitting of the MANE-VU point source inventory into EGU 

and nonEGU components, we prepared several ad-hoc QA/QC queries to verify that there 

was no double-counting of emissions in the EGU and nonEGU inventories: 

• We reviewed the IPM parsed files {VISTASII_PC_1f_AllUnits_2009 (To 

Client).xls and VISTASII_PC_1f_AllUnits_2018 (To Client).xls} to identify EGUs 

accounted for in IPM. We compared this list of emission units to the nonEGU 

inventory derived from the MANE-VU cross-reference table to verify that units 

accounted for in IPM were not double-counted in the nonEGU inventory. As a 

result of this comparison, we made a few adjustments in the cross-reference table to 

add emission units for four plants to ensure these units accounted for in IPM were 

moved to the EGU inventory. 

• We reviewed the nonEGU inventory to identify remaining emission units with an 

Standard Industrial Classification (SIC) code of “4911 Electrical Services” or 

Source Classification Code of “1-01-xxx-xx External Combustion Boiler, Electric 

Generation”. We compared the list of sources meeting these selection criteria to 

the IPM parsed file to ensure that these units were not double-counted. 

• We compared the number of records for each NIF table in the original 2002 point 

source file to the 2002 EGU and 2002 nonEGU files. We determined that the sum 

of the number of records in the EGU file and the number of records in the nonEGU 

file equaled the number of records in the original 2002 point source file. 

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• We compared the emissions by pollutant and state in the original 2002 point source 

file to the 2002 EGU file and 2002 nonEGU files. We determined that the sum of 

the emissions in the EGU file and the emissions in the nonEGU file equaled the 

emissions in the original 2002 point source file. 

As a result of this procedure, we created separate sets of NIF tables for 2002 for EGUs 

(i.e., units accounted for in IPM) and nonEGUs. The nonEGU set of 2002 NIF tables were 

used in all subsequent projections for 2009/2012/2018. 

After release of Version 3 of the MANE-VU 2002 inventory, New Jersey discovered that 

fugitive emissions from petroleum refineries were missing from Version 3. New Jersey 

supplied MACTEC with the emission unit identifiers for the fugitive releases, and the 

appropriate records were added to the 2002 NIF files.. MACTEC used these revised 

fugitive estimates for projecting emissions to 2009/2012/2018. 

2.2 NONEGU POINT SOURCE GROWTH FACTORS 

The nonEGU growth factors were developed using three sets of data: 

• The U.S. EPA’s Economic Growth and Analysis System Version 5.0 (EGAS 5.0) 

using the default SCC configuration. EGAS 5.0 generates growth factors from 

REMI’s 53 Sector Policy Insight Model Version 5.5, the U.S. Department of 

Energy (DOE) Annual Energy Outlook 2004 (AEO2004) fuel use projections, and 

national vehicle mile travel projections from EPA’s MOBILE 4.1 Fuel Combustion 

Model; 

• The DOE’s Annual Energy Outlook 2005 (AEO2005) fuel consumption forecasts 

were used to replace the AEO2004 forecasts that are used as the default values in 

EGAS 5.0; and 

• State-supplied population, employment, and other emission projection data. 

The priority for applying these growth factors was to first use the state-supplied projection 

data (if available). If no state-supplied data are available, then we used the AEO2005 

projection factors for fuel consumption sources. If data from these two sources were not 

available, we used the EGAS 5.0 default SCC configuration. Appendix A lists the 

nonEGU point source growth factors used for this study. 

2.2.1 EGAS 5.0 Growth Factors 

EGAS is an EPA-developed economic and activity forecast tool that provides credible 

growth factors for developing emission inventory projections. Growth factors are 

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generated using national- and regional-economic forecasts. For nonEGUs, the primary 

economic activity data sets in EGAS 5.0 are: 

• State-specific growth rates from the Regional Economic Model, Inc. (REMI) 

Policy Insight® model, version 5.5. The REMI socioeconomic data (output by 

industry sector, population, farm sector value added, and gasoline and oil 

expenditures) are available by 4-digit SIC code at the State level. 

• Energy consumption data from the DOE’s Energy Information Administration’s 

(EIA) Annual Energy Outlook 2004, with Projections through 2025 for use in 

generating growth factors for non-EGU fuel combustion sources. These data 

include regional or national fuel-use forecast data that were mapped to specific 

SCCs for the non-EGU fuel use sectors (e.g., commercial coal, industrial natural 

gas). Growth factors are reported at the Census division level. These Census 

divisions represent a group of States (e.g., the South Atlantic division includes 

Delaware, the District of Columbia, and Maryland; the Middle Atlantic division 

includes New Jersey, New York, and Pennsylvania; the New England division 

includes Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and 

Vermont). Although one might expect different growth rates in each of these 

States due to unique demographic and socioeconomic trends, all States within each 

division received the same growth rate.

EGAS uses these economic activity datasets and a set of cross-reference files to generate 

growth factors by Standard Industrial Classification (SIC) code, Source Classification 

Code (SCC), or Maximum Achievable Control Technology (MACT) codes. Growth 

factors for 2009, 2012, and 2018 were calculated using 2002 as the base year at the State 

and SCC level. County-specific growth factors are not available in EGAS 5.0. 

There were several SCCs in the MANE-VU 2002 inventory that are not included in the 

EGAS 5.0 files. As a result, EGAS did not generate growth factors for those SCCs. 

MACTEC assigned growth factors for the missing SCCs by assigning a surrogate SCC that 

best represented the missing SCC. 

2.2.2 AEO2005 Growth Factors 

The default version of EGAS 5.0 uses the DOE’s AEO2004 forecasts. We replaced these 

data with the more recent AEO2005 forecasts to improve the emissions growth factors 

produced. Using ACCESS, we created a copy of the “DOE EGAS 5” dataset. The dataset 

includes three tables. One table contains the projection data values from 2001-2025. The 

other two tables are the MACT and SCC crosswalk tables. The crosswalk tables are linked 

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to the projection table via a “model code”. Using the copy of AEO2004 data, we updated 

the corresponding projection tables with data from the AEO2005 located at: 

http://www.eia.doe.gov/oiaf/aeo/supplement/supref.html . Using the data and descriptions from 

the new tables, we matched the projection data to the appropriate model codes and then 

built a table identical to the DOE EGAS 5 dataset with the new 2005 AEO data. The 

resulting ACCESS dataset contains a projection data table with the exact same structure as 

the original except with the new data. The SCC and MACT crosswalks did not require any 

updates since the model code assignments were not changed in the new data table. 

2.2.3 State Specific Growth Factors 

In addition to the growth data described above, we received growth projections from 

several MANE-VU states to be used instead of the default EGAS or AEO2005 growth 

factors. The following paragraphs describe the growth factors used for each state. 

2.2.3.1 Connecticut 

Connecticut provided state-level employment-based growth factors for various SIC 

categories derived from CT Department of Labor (CTDOL) projections. For many 

manufacturing sectors, employment is projected to decline, indicating the likelihood of 

reduced activity levels and emissions for those sectors. Associated growth factors are less 

than one. To ensure consistency within a facility, CTDEP indicated that the employmentbased growth factors be used wherever possible, as matched by SIC. MACTEC used the 

growth factors by SIC code for all sources in CT, including those fuel combustion sources 

that would otherwise have been projected using the AEO2005 forecasts. 

2.2.3.2 Delaware 

Delaware provided state-level employment data from the Department of Labor by NAICS 

codes for 2002 and 2012. We used these data to calculate the growth factor from 2002 to 

2012 and interpolated these data to derive growth factors for 2009 and 2018. We matched 

these industry NAICS groupings to SCC codes in order to create SCC specific growth 

factors for non-EGU point sources. 

2.2.3.3 District of Columbia 

DC indicated that it preferred to use the EGAS 5.0 growth factors, with the enhancement 

of using the DOE’s 2005 Annual Energy Outlook data for combustion sources. 

2.2.3.4 Maine 

Maine indicated that it preferred to use the EGAS 5.0 growth factors and the DOE’s 2005 

Annual Energy Outlook data for combustion sources. 

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2.2.3.5 Maryland 

Maryland provided growth factors by SCC for all counties in the State. These growth 

factors were derived from a variety source sources, including the MWCOG Cooperative 

Forecast 7.0, the BMC Round 6A Cooperative Forecast (prepared by the MD Dept. of 

Planning, May 2004), and EGAS 5.0. 

2.2.3.6 Massachusetts 

Massachusetts also provided a link to employment projections for 2000-2010 for very 

narrow occupational categories that are not directly correlated with SIC or SCC codes. 

Since we could not match the occupational titles in the Massachusetts employment 

projections with SIC or SCC codes, MACTEC used the EGAS 5.0 growth factors (with the 

AEO2005 enhancement for combustion sources) for projecting emissions from nonEGU 

sources. 

2.2.3.7 New Hampshire 

New Hampshire indicated that it preferred to use the EGAS 5.0 growth factors, with the 

enhancement of using the DOE’s 2005 Annual Energy Outlook data for combustion 

sources. 

2.2.3.8 New Jersey 

New Jersey indicated that it preferred to use the EGAS 5.0 growth factors, with the 

enhancement of using the DOE’s 2005 Annual Energy Outlook data for combustion 

sources. 

2.2.3.9 New York 

New York provided county-level employment data for 12 counties in the New York City 

metro area for 2002, 2009, 2012, and 2018. The employment projections are for broad 

industry categories not directly correlated with SIC or SCC codes. Since we could not 

match the 12-county employment projections with SIC or SCC codes, MACTEC used the 

EGAS 5.0 growth factors (with the AEO2005 enhancement for combustion sources) for 

projecting emissions from nonEGU sources for both the 12-county area and all other 

counties in the state. 

2.2.3.10 Pennsylvania 

Pennsylvania provided total employment projections for a subset of counties. These 

employment projections do not have enough detail regarding specific industrial groupings 

to be correlated with SIC or SCC codes. MACTEC used the EGAS 5.0 growth factors 

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(with the AEO2005 enhancement for combustion sources) for projecting emissions from 

nonEGU sources 

2.2.3.11 Rhode Island 

Rhode Island provided state-level employment data from the Department of Labor and 

Training by 3-digit NAICS codes for 2002 and 2012. We used these data to calculate the 

growth factor from 2002 to 2012 and interpolated these data to derive growth factors for 

2009 and 2018. We matched these industry NAICS groupings to SCC codes in order to 

create SCC specific growth factors for non-EGU point sources. 

2.2.3.12 Vermont 

Vermont indicated that it preferred to use the EGAS 5.0 growth factors, with the 

enhancement of using the DOE’s 2005 Annual Energy Outlook data for combustion 

sources. 

2.3 NONEGU POINT SOURCE CONTROL FACTORS 

The following sections document how the OTB/OTW control factors were developed for 

the MANE-VU future year inventories. We developed control factors to estimate emission 

reductions that will result from on-the-books regulations that will result in post-2002 

emission reductions and proposed regulations or actions that will result in post-2002 

emission reductions. Control factors were developed for the following national, regional, 

or state control measures: 

• NOx SIP Call Phase I (NOx Budget Trading Program) 

• NOx SIP Call Phase II 

• NOx RACT in 1-hour Ozone SIPs 

• NOx OTC 2001 Model Rule for ICI Boilers 

• 2-, 4-, 7-, and 10-year MACT Standards 

• Combustion Turbine and RICE MACT 

• Industrial Boiler/Process Heater MACT 

• Refinery Enforcement Initiative 

• Source Shutdowns 

In addition, states provided specific control measure information about specific sources or 

regulatory programs in their state. We used the state-specific data to the extent it was 

available. 

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2.3.1 NOx SIP Call Phase I 

Compliance with the NOx SIP Call in the Ozone Transport Commission (OTC) states was 

scheduled for May 1, 2003. The requirements applied to all MANE-VU states except 

Maine, New Hampshire, and Vermont. While the program applies primarily to electric 

generating units (EGUs), the NOx SIP Call applies to non-EGUs such as large industrial 

boilers and turbines. The NOx SIP Call did not mandate which sources must reduce 

emissions; rather, it required states to meet an overall emission budget and gave them 

flexibility to develop control strategies to meet that budget. All states in the MANE-VU 

region affected by the NOx SIP Call chose to meet their NOx SIP Call requirements by 

participating in the NOx Budget Trading Program. We reviewed the available state rules 

and guidance documents to determine the affected nonEGU sources and ozone season NOx 

allowances for each source. Future year emissions for non-EGU boilers/turbines were 

capped at the allowance levels. Since the allowances are given in terms of tons per ozone 

season (5 months May to September), we calculated annual emissions by multiplying the 

ozone season allowances by a factor of 12 (annual) / 5 (ozone season). Table B-1 

identifies those units included in the NOx SIP Call Phase I budget program. 

Cement kilns were also included in Phase I of the NOx SIP call. There is a cement kiln in 

Maine, but it is not subject to the NOx SIP call. For the cement kilns in Maryland and 

New York, a default control efficiency value of 25 percent was applied. For the cement 

kilns in Pennsylvania, the state provided their best estimates of the actual control 

efficiency expected for each kiln after the NOx SIP Call. Table B-2 identifies the cement 

kilns affected by the NOx SIP Call. 

2.3.2 NOx SIP Call Phase II 

The final Phase II NOx SIP Call rule was promulgated on April 21, 2004. States had until 

April 21, 2005, to submit SIPs meeting the Phase II NOx budget requirements. The Phase 

II rule applies to large IC engines, which are primarily used in pipeline transmission 

service at compressor stations. We have identified affected units using the same 

methodology as was used by EPA in the proposed Phase II rule (i.e., a large IC engine is 

one that emitted, on average, more than 1 ton per day during 2002). The final rule reflects 

a control level of 82 percent for natural gas-fired IC engines and 90 percent for diesel or 

dual fuel categories. Pennsylvania identified large IC engines affected by the rule. Table 

B-3 identifies those units included in the NOx SIP Call Phase II. 

2.3.3 NOx RACT in 1-hour Ozone SIPs 

Emission reductions requirements from NOx reasonably available control technology 

(RACT) requirements in 1-hour Ozone SIP areas were implemented in or prior to 2002. 

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These reductions should already be accounted for in the MANE-VU 2002 inventory since 

the 2002 inventory was based on 2002 actual emissions which includes any reductions due 

to NOx RACT. 

2.3.4 NOx OTC 2001 Model Rule for ICI Boilers 

The Ozone Transport Commission (OTC) developed control measures for industrial, 

commercial, and institutional (ICI) boilers in 2001. Information about the proposed OTC 

NOx emission limits by fuel type and size range was obtained from Table III-1 of Control 

Measure Development Support Analysis of Ozone Transport Commission Model Rules

(E.H. Pechan & Associates, Inc., March 31, 2001). Information about the emission limits 

contained in the existing state rules (prior to adoption of the OTC 2001 model rule) were 

obtained from Tables III-2 through III-9 of the Pechan document. Information about the 

emission limits contained in the current state rules (as they existed in June 2006) were 

obtained from the individual states regulations. The percent reduction for ICI boilers was 

estimated by state, fuel type, and size range by comparing the current state emission limits 

(as they existed in June 2006) with the state emission limits as they existed in 2001. 

Pennsylvania adopted the OTC 2001 model rule in five southeastern counties (Bucks, 

Chester, Delaware, Montgomery, and Philadelphia) for boilers in the 100 to 250 million 

Btu/hour range. New Jersey adopted the OTC 2001 model rule for natural gas-fired boilers 

with a maximum heat rate of at least 100 million Btu/hour. For other states, it did not 

appear that the emission limits in 2006 had changed from the emission limits in 2001. 

2.3.5 2-, 4-, 7-, and 10-year MACT Standards 

Maximum achievable control technology (MACT) requirements were also applied, as 

documented in the report entitled Control Packet Development and Data Sources, dated 

July 14, 2004 (available at http://www.epa.gov/air/interstateairquality/pdfs/NonEGU_nonpoint_Control_Development.pdf ). The point source MACTs and associated 

emission reductions were designed from Federal Register (FR) notices and discussions 

with EPA’s Emission Standards Division (ESD) staff. These MACT requirements apply 

only to units located at a major source of hazardous air pollutants (HAP). We did not 

apply reductions for MACT standards with an initial compliance date of 2002 or earlier, 

assuming that the effects of these controls are already accounted for in the inventories 

supplied by the States. Emission reductions were applied only for MACT standards with 

an initial compliance date of 2003 or greater. 

Because the MANE-VU inventory does not identify HAP major sources, the reductions 

from post-2002 MACT standards were applied on a more general scale to all sources with 

certain SCCs. Every source with an SCC determined to be affected by a post-2002 MACT 

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standard was assigned an incremental percent reduction for the applicable MACT standard. 

Table B-4 shows the SCCs affected and the incremental control efficiencies applied for 

post-2002 MACT standards. 

2.3.6 Combustion Turbine and RICE MACT 

The MANE-VU projection inventory does not include the NOx co-benefit effects of the 

MACT regulations for Gas Turbines or stationary Reciprocating Internal Combustion 

Engines, which EPA estimates to be small compared to the overall inventory. 

2.3.7 Industrial Boiler/Process Heater MACT 

EPA anticipates ancillary reductions in PM and SO2 as a result of the Industrial 

Boiler/Process Heater MACT standard. The MACT applies to industrial, commercial, and 

institutional units firing solid fuel (coal, wood, waste, biomass) which have a design 

capacity greater than 10 mmBtu/hr and are located at a major source of hazardous air 

pollutants (HAP). The boiler design capacity field in many cases was missing from the 

MANE-VU emission inventory. In lieu of boiler design capacity, we identified boilers 

with the following SCCs that emitted greater than 10 tons/year of either SO2 or PM10 

• 1-02-001-xx Industrial, Anthracite Coal 

• 1-02-002-xx Industrial, Bituminous/subbituminous Coal 

• 1-02-008-xx Industrial, Petroleum Coke 

• 1-02-009-xx Industrial, Wood/Bark Waste 

• 1-03-001-xx Commercial/Institutional, Anthracite Coal 

• 1-03-002-xx Commercial/Institutional, Bituminous/subbituminous Coal 

• 1-03-009-xx Commercial/Institutional, Wood/Bark Waste 

• 3-90-002-89 In-Process Fuel Use, Bituminous Coal 

• 3-90-002-99 In-Process Fuel Use, Bituminous Coal 

• 3-90-008-89 In-Process Fuel Use, Coke 

• 3-90-008-99 In-Process Fuel Use, Coke 

• 3-90-009-99 In-Process Fuel Use, Wood 

For these sources, we applied the average MACT control efficiencies of 4% for SO2 and 

40% for PM. 

2.3.8 Refinery Enforcement Initiative 

Both EPA and State/local agencies have negotiated (or are in the process of negotiating) 

Consent Decrees that will require significant investment in pollution control technology 

and will result in significant emission reductions in the future. There are eight refineries in 

the MANE-VU inventory impacted by the settlements. The five major refinery processes 

that are affected by the judicial settlements are: 

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• Fluid Catalytic Cracking Units (FCCUs) and Fluid Coking Units (FCUs) 

• Process Heaters and Boilers 

• Flare Gas Recovery 

• Leak Detection and Repair 

• Benzene/Wastewater 

As part of the development of the Assessment of Control Technology Options for 

Petroleum Refineries in the Mid-Atlantic Region (Draft Final, October 2006), MACTEC 

coordinated with State and local agencies to develop estimates of future year emissions 

based upon the settlements and recent permits that implement the provisions of those 

settlements. 

For FCCUs/FCUs, the Consent Decree control requirements generally require the 

installation of wet gas scrubbers for SO2 control. Some of the units have already been 

permitted to include the control requirements. In those cases, specific emission limits for 

SO2 have already been established and were used as the best estimate of emission in 2009. 

In cases where specific emission limitation have not yet been specified in permits, a 90 

percent SO2 control efficiency was assumed as a conservative estimate of the SO2 

reductions from the installation of a wet gas scrubber. 

For NOx control at FCCUs/FCUs, the Consent Decrees require selective catalytic 

reduction (SCR), selective non-catalytic reduction (SCNR), or optimization studies to 

reduce NOx emissions. Some of the units have already been permitted to include the 

control requirements. In those cases, specific emission limits for NOx have already been 

established and were used as the best estimate of emission in 2009. In cases where specific 

emission limitation have not yet been specified in permits, a 90 percent NOx control 

efficiency was assumed for SCR, and a 60 percent reduction was assumed from the 

installation of SNCR. 

For SO2 emissions from boilers/heaters, the control requirements generally require the 

elimination of burning solid/liquid fuels. We identified all boilers and heaters at the eight 

affected refineries that burn solid or liquid fuels. For these units, we set the SO2 emissions 

to zero in the future year inventories. 

For NOx emissions from boilers/heaters, control requirements generally apply to units 

greater than 40 million British thermal units (MMBtu) per hour capacity or larger. In 

many cases, the consent decrees establish NOx emission reduction objectives across a 

number of refineries that are owned by the same firm. Therefore, the companies have 

some discretion in deciding which individual boilers/heaters to control as well as the 

control techniques to apply. Also, the consent decrees have various phase-in dates which 

make it difficult to determine the exact date when the reductions will be fully realized. As 

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part of the development of the Assessment of Control Technology Options for Petroleum 

Refineries in the Mid-Atlantic Region (Draft Final, October 2006), MACTEC coordinated 

with State and local agencies to develop estimates of future year emissions based upon the 

settlements and recent permits that implement the provisions of those settlements. 

Heater/boiler NOx controls for the units to which they are applied were determined to be 

equivalent to meeting a 0.04 lbs per million Btu NOx emission rate. Meeting this emission 

reduction requirement is expected to provide an average NOx emission reduction of 50 

percent from 2002 levels in 2009.

The Consent Descrees also included enhanced LDAR programs (e.g., reducing the defined 

leak concentration, increasing the monitoring frequency, other requirements. Our best 

estimate is a 50% reduction in VOC emissions as a result of implementing enhanced 

LDAR programs similar to those required in the recent Consent Decrees. This is based on 

a study (http://www.rti.org/pubs/ertc_enviro_2002_final1.pdf ) that estimated an enhanced 

LDAR program could result in a 50% reduction in fugitive VOCs. 

The settlements are expected to produce additional SO2, NOx, and VOC emission 

reductions for flare gas recovery and wastewater operations. These emission reductions 

were not quantified as they are expected to produce less significant changes in the MANEVU inventory because of the magnitude and uncertainty associated with the emissions 

from these units in the 2002 MANE-VU inventory. 

2.3.9 Source Shutdowns 

A few states indicated that significant source shutdowns have occurred since 2002 and that 

emissions from these sources should not be included in the future year inventories. These 

sources are identified in Table B-5. 

2.3.10 State Specific Control Factors 

Delaware provided reductions expected from the Maritrans lightering operation. VOC 

emissions are projected to be reduced by 34.8% by 2009, 69.3% by 2012, and 79.2% by 

2018. 

2.4 NONEGU POINT SOURCE QA/QC REVIEW 

Throughout the inventory development process, quality assurance steps were performed to 

ensure that no double counting of emissions occurred, and to ensure that a full and 

complete inventory was developed for VISTAS. Quality assurance was an important 

component to the inventory development process and MACTEC performed the following 

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QA steps on the nonEGU point source component of the MANE-VU future year 

inventories: 

1. State agencies reviewed the draft growth and control factors in the summer of 

2005. Changes based on these comments were implemented in the files. 

2. Compared, at the emission unit-level, emissions from the IPM parsed files and 

the MANE-VU NIF files to verify that the splitting of the MANE-VU point 

source inventory into the EGU and nonEGU sectors did not result in any double 

county of emissions or cause units to be missing from both inventories. 

3. SCC level emission summaries were prepared and evaluated to ensure that 

emissions were consistent and that there were no missing sources. Tier 

comparisons (by pollutant) were developed between the revised 2002 base year 

inventory and the 2009/2012/2018 projection inventories. 

4. State level emission summaries were prepared and evaluated to ensure that 

emissions were consistent and reasonable. The summaries included base year 

2002 emissions, 2009/2012/2018 projected emissions accounting only for 

growth, 2009/2012/2018 projected emissions accounting for both growth and 

emission reductions from OTB and OTW controls. 

5. Emission inventory files in NIF format were provided for state agency review 

and comment. Changes based on these comments were implemented. 

6. All final files were run through EPA’s Format and Content checking software. 

7. Version numbering was used for all inventory files developed. The version 

numbering process used a decimal system to track major and minor changes. 

For example, a major change would result in a version going from 1.0 to 2.0 for 

example. A minor change would cause a version number to go from 1.0 to 1.1. 

Minor changes resulting from largely editorial changes would result in a change 

from 1.00 to 1.01 for example. 

Final QA checks were run on the revised projection inventory data set to ensure that all 

corrections provided by the S/L agencies and stakeholders were correctly incorporated into 

the S/L inventories and that there were no remaining QA issues that could be addressed 

during the duration of the project. After exporting the inventory to ASCII text files in NIF 

3.0, the EPA QA program was run on the ASCII files and the QA output was reviewed to 

verify that all QA issues that could be addressed were resolved 

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2.5 NONEGU POINT SOURCE NIF AND SMOKE FILES 

The Version 3 file names and descriptions delivered to MARAMA are shown in Table 2-1. 

2.6 NONEGU POINT SOURCE EMISSION SUMMARIES 

Emission summaries by state, year, and pollutant are presented in Tables 2-2 through 2-8 

for CO, NH3, NOx, PM10-PRI, PM25-PRI, SO2, and VOC, respectively. 

Table 2-1 NonEGU Point Source NIF, IDA, and Summary File Names 

File Name Date Description 

MANEVU_OTB2009_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2009 OTB 

NonEGU source NIF inventory 

MANEVU_OTB2012_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2012 OTB 

NonEGU source NIF inventory 

MANEVU_OTB2018_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2018 OTB 

NonEGU source NIF inventory 

MANEVU_OTB2009_NonEGU_IDAV3_1.txt Nov. 22, 2006 Version 3.1 of 2009 OTB 

NonEGU source inventory in 

SMOKE IDA format 

MANEVU_OTB2012_NonEGU_IDAV3_1.txt Nov. 22, 2006 Version 3.1 of 2012 OTB 

NonEGU source inventory in 

SMOKE IDA format 

MANEVU_OTB2018_NonEGU_IDA3V_2.txt Nov. 22, 2006 Version 3.1 of 2018 OTB 

NonEGU source inventory in 

SMOKE IDA format 

MANEVU OTB BOTW NonEGU V3_1 State 

Summary.xls 

Nov. 22, 2006 Spreadsheet with state totals by 

pollutant for all NonEGU 

sources 

MANEVU OTB BOTW NonEGU V3_1 State SCC 

Summary.xls 

Dec. 4, 2006 Spreadsheet with SCC totals by 

state and pollutant for all 

NonEGU sources. 

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Table 2-2 NonEGU Point Sources 

OTB/OTW Annual CO Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 2,157 2,251 2,306 2,415 

DE 8,812 9,037 8,748 8,651 

DC 247 283 299 327 

ME 9,043 10,147 10,467 11,433 

MD 94,536 104,012 111,174 141,342 

MA 10,793 12,027 12,552 13,426 

NH 774 858 871 907 

NJ 8,209 10,076 10,806 12,244 

NY 53,259 61,411 65,541 78,876 

PA 105,815 116,430 121,251 140,909 

RI 1,712 1,764 1,821 1,927 

VT 220 250 254 267 

Total 295,577 328,546 346,090 412,724 

0

25,000

50,000

75,000

100,000

125,000

150,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-3 NonEGU Point Sources 

OTB/OTW Annual NH3 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 0 0 0 0 

DE 153 145 138 134 

DC 4 5 5 5 

ME 700 796 809 859 

MD 305 347 366 410 

MA 462 510 521 563 

NH 37 46 50 60 

NJ 0 0 0 0 

NY 1,027 1,081 1,128 1,296 

PA 1,170 1,307 1,363 1,591 

RI 58 64 68 68 

VT 0 0 0 0 

Total 3,916 4,301 4,448 4,986 

0

200

400

600

800

1,000

1,200

1,400

1,600

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-4 NonEGU Point Sources 

OTB/OTW Annual NOx Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 6,773 7,236 7,465 7,921 

DE 4,372 4,076 4,135 4,246 

DC 480 548 577 627 

ME 12,108 14,285 14,661 15,753 

MD 21,940 19,401 20,399 22,797 

MA 18,292 20,603 21,372 23,040 

NH 1,188 1,384 1,394 1,435 

NJ 15,812 16,498 17,091 18,805 

NY 34,253 33,648 34,586 37,133 

PA 89,136 89,932 93,526 103,137 

RI 2,308 2,449 2,471 2,442 

VT 386 462 460 466 

Total 207,048 210,522 218,137 237,802 

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-5 NonEGU Point Sources 

OTB/OTW Annual PM10-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 990 1,035 1,058 1,106 

DE 1,820 1,486 1,475 1,487 

DC 157 178 186 198 

ME 6,120 7,088 7,133 7,496 

MD 4,739 4,797 5,040 5,828 

MA 4,212 5,006 5,088 5,314 

NH 918 1,084 1,097 1,129 

NJ 3,439 4,205 4,417 4,959 

NY 5,072 5,221 5,444 6,098 

PA 23,282 25,169 26,307 29,516 

RI 296 333 331 330 

VT 235 267 272 296 

Total 51,280 55,869 57,848 63,757 

0

5,000

10,000

15,000

20,000

25,000

30,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-6 NonEGU Point Sources 

OTB/OTW Annual PM25-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 822 871 894 939 

DE 1,606 1,256 1,245 1,254 

DC 128 145 152 164 

ME 4,899 5,675 5,690 5,935 

MD 2,772 2,861 3,011 3,503 

MA 2,953 3,554 3,574 3,660 

NH 857 1,008 1,021 1,052 

NJ 2,947 3,588 3,764 4,234 

NY 3,355 3,535 3,688 4,161 

PA 12,360 13,578 14,159 15,878 

RI 180 200 198 194 

VT 198 226 229 246 

Total 33,077 36,497 37,625 41,220 

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-7 NonEGU Point Sources 

OTB/OTW Annual SO2 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 2,438 2,528 2,567 2,644 

DE 35,706 7,117 7,401 7,610 

DC 618 707 735 780 

ME 14,412 18,656 18,492 18,794 

MD 34,193 34,223 35,373 38,921 

MA 14,766 18,185 18,442 18,955 

NH 2,436 3,099 3,098 3,114 

NJ 9,797 7,141 7,234 7,856 

NY 58,227 62,922 64,484 67,545 

PA 88,259 90,735 93,441 99,924 

RI 2,651 3,163 3,182 3,164 

VT 874 1,182 1,147 1,127 

Total 264,377 249,658 255,596 270,434 

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 2-8 NonEGU Point Sources 

OTB/OTW Annual VOC Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 4,604 4,114 4,152 4,230 

DE 4,645 2,987 2,311 1,993 

DC 69 72 75 85 

ME 4,477 4,740 4,985 5,709 

MD 5,676 5,297 5,578 6,301 

MA 7,794 8,381 9,061 10,564 

NH 1,459 1,060 1,132 1,294 

NJ 13,318 16,702 17,621 19,915 

NY 9,933 10,157 10,750 12,354 

PA 36,326 35,875 38,162 44,537 

RI 1,898 1,640 1,695 1,812 

VT 1,079 1,254 1,365 1,730 

Total 91,278 92,279 96,887 110,524 

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

50,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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3.0 AREA SOURCES 

The area source sector is comprised of stationary sources that are small and numerous, and 

that have not been inventoried individually as specific point, mobile, or biogenic sources. 

Individual sources are typically grouped with other like sources into area source categories 

and the emissions are calculated on a county-by-county basis. Area source categories 

include residential/commercial/industrial fuel combustion; small industrial processes; 

solvent utilization (such as architectural coatings and consumer products); petroleum 

product storage and transport (such as gasoline service stations); waste disposal; and 

agricultural activities. 

The procedures for projecting emissions for area sources are described in this section. We 

started with the MANE-VU 2002 area source emission inventory. We first applied growth 

factors to account for changes in population and economic activity. Next, we applied 

control factors to account for future emission reductions from on-the-books (OTB) control 

regulations and on-the-way (OTW) control regulations. The OTB control scenario 

accounts for post-2002 emission reductions from promulgated federal, State, local, and 

site-specific control programs as of June 15, 2005. The OTW control scenario accounts for 

proposed (but not final) control programs that are reasonably anticipated to result in post2002 emission reductions. We then conducted a series of quality assurance steps to ensure 

the development of complete, accurate, and consistent emission inventories. We provided 

the inventories in three formats – the National Emission Inventory Input Format (NIF), 

SMOKE Inventory Data Analyzer (IDA) format, and SMOKE growth/control packets. We 

also prepared emission summary tables by state and pollutant. Each of these activities is 

discussed in this section. 

3.1 INITIAL 2002 AREA SOURCE EMISSION INVENTORY 

The starting point for the area source projections was Version 3 of the MANE-VU 2002 

area source emission inventory (MANE-VU_2002_Area_040606.MDB). There were two 

updates to this version of the 2002 inventory in response to requests from the District of 

Columbia and Massachusetts. These changes, described in the following paragraphs, were 

used in preparing the 2009/2012/2018 projections. 

After release of Version 3 of the MANE-VU 2002 inventory, the District of Columbia 

discovered a gross error in the 2002 residential, non-residential and roadway construction. 

They requested that the following values be used for the 2002 base year and as the basis 

for the 2009/2012/2018 projections: 

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SCC Pollutant Code 2002 Annual 

Emissions (tpy) 

2311010000 PM10-PRI 8.2933 

 PM25-PRI 1.6587 

2311020000 PM10-PRI 486.1951 

 PM25-PRI 97.239 

2311030000 PM10-PRI 289.8579 

 PM25-PRI 57.9716 

After release of Version 3 of the MANE-VU 2002 inventory, Massachusetts revised their 

inventory of area source heating oil emissions due to two changes: (1) SO2 emission 

factors were adjusted for the sulfur content from 1.0 to 0.03; and (2) use of the latest DOEEIA 2002 fuel use data instead of the previous version used 2001. These two changes 

significantly altered the 2002 SO2 emissions for area source heating oil combustion. 

Massachusetts provided revised 2002 PE and EM tables, which MACTEC used in 

preparing the 2009/2012/2018 projection inventories. 

3.2 AREA SOURCE GROWTH FACTORS 

The area source growth factors were developed using three sets of data: 

• The U.S. EPA’s Economic Growth and Analysis System Version 5.0 (EGAS 5.0) 

using the default SCC configuration. EGAS 5.0 generates growth factors from 

REMI’s 53 Sector Policy Insight Model Version 5.5, the U.S. Department of 

Energy (DOE) Annual Energy Outlook 2004 (AEO2004) fuel use projections, and 

national vehicle mile travel projections from EPA’s MOBILE 4.1 Fuel Combustion 

Model; 

• The DOE’s Annual Energy Outlook 2005 (AEO2005) fuel consumption forecasts 

were used to replace the AEO2004 forecasts that are used as the default values in 

EGAS 5.0; and 

• State-supplied population, employment, and other emission projection data. 

The priority for applying these growth factors was to first use the state-supplied projection 

data (if available). If no state-supplied data are available, then we used the AEO2005 

projection factors for fuel consumption sources. If data from these two sources were not 

available, we used the EGAS 5.0 default SCC configuration. Appendix C lists the area 

source growth factors used for this study. 

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3.2.1 EGAS 5.0 Growth Factors 

EGAS is an EPA-developed economic and activity forecast tool that provides credible 

growth factors for developing emission inventory projections. Growth factors are 

generated using national- and regional-economic forecasts. For nonEGUs, the primary 

economic activity data sets in EGAS 5.0 are: 

• State-specific growth rates from the Regional Economic Model, Inc. (REMI) 

Policy Insight® model, version 5.5. The REMI socioeconomic data (output by 

industry sector, population, farm sector value added, and gasoline and oil 

expenditures) are available by 4-digit SIC code at the State level. 

• Energy consumption data from the DOE’s Energy Information Administration’s 

(EIA) Annual Energy Outlook 2004, with Projections through 2025 for use in 

generating growth factors for non-EGU fuel combustion sources. These data 

include regional or national fuel-use forecast data that were mapped to specific 

SCCs for the non-EGU fuel use sectors (e.g., commercial coal, industrial natural 

gas). Growth factors are reported at the Census division level. These Census 

divisions represent a group of States (e.g., the South Atlantic division includes 

Delaware, the District of Columbia, and Maryland; the Middle Atlantic division 

includes New Jersey, New York, and Pennsylvania; the New England division 

includes Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and 

Vermont). Although one might expect different growth rates in each of these 

States due to unique demographic and socioeconomic trends, all States within each 

division received the same growth rate.

EGAS uses these economic activity datasets and a set of cross-reference files to generate 

growth factors by Standard Industrial Classification (SIC) code, Source Classification 

Code (SCC), or Maximum Achievable Control Technology (MACT) codes. Growth 

factors for 2009, 2012, and 2018 were calculated using 2002 as the base year at the State 

and SCC level. County-specific growth factors are not available in EGAS 5.0. 

There were several SCCs in the MANE-VU 2002 inventory that are not included in the 

EGAS 5.0 files. As a result, EGAS did not generate growth factors for those SCCs. 

MACTEC assigned growth factors for the missing SCCs by assigning a surrogate SCC that 

best represented the missing SCC. 

3.2.2 AEO2005 Growth Factors 

The default version of EGAS 5.0 uses the DOE’s AEO2004 forecasts. We replaced these 

data with the more recent AEO2005 forecasts to improve the emissions growth factors 

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produced. Using ACCESS, we created a copy of the “DOE EGAS 5” dataset. The dataset 

includes three tables. One table contains the projection data values from 2001-2025. The 

other two tables are the MACT and SCC crosswalk tables. The crosswalk tables are linked 

to the projection table via a “model code”. Using the copy of AEO2004 data, we updated 

the corresponding projection tables with data from the AEO2005 located at: 

http://www.eia.doe.gov/oiaf/aeo/supplement/supref.html . Using the data and descriptions from 

the new tables, we matched the projection data to the appropriate model codes and then 

built a table identical to the DOE EGAS 5 dataset with the new 2005 AEO data. The 

resulting ACCESS dataset contains a projection data table with the exact same structure as 

the original except with the new data. The SCC and MACT crosswalks did not require any 

updates since the model code assignments were not changed in the new data table. 

3.2.3 State Specific Growth Factors 

In addition to the growth data described above, we received growth projections from 

several MANE-VU states to be used instead of the default EGAS or AEO2005 growth 

factors. The following paragraphs describe the area source growth factors used for each 

state. 

3.2.3.1 Connecticut 

Connecticut provided state-level population projections for 2009, 2012, and 2018. We 

created growth factors for those SCCs that are population based using the state-supplied 

data. Connecticut also provided state-level employment projections for industry categories 

analogous to 2-digit SIC codes. Projections were provided for 2009, 2012, and 2018. We 

matched these industry groupings to SCC codes in order to create SCC specific growth 

factors for area sources. Emissions from area source fuel combustion were projected using 

the AEO2005 forecasts. 

3.2.3.2 Delaware 

Delaware provided county-level population projections (Delaware Population Consortium Annual 

Population Projections, Oct 18, 2001 Version 2001.0) for 2000, 2005, 2010, 2015, and 2020. We 

interpolated these data to get growth factors for projection from 2002 to 2009, 2012, and 2018 for 

those SCCs that are population based. Delaware also provided state-level employment data by 

NAICS codes for 2002 and 2012. We interpolated values for 2009 and 2018. We matched these 

industry groupings to SCC codes in order to create SCC specific growth factors for selected area 

sources. Emissions from area source fuel combustion were projected using the AEO2005 

forecasts.

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3.2.3.3 District of Columbia 

DC provided local growth factors for projecting emissions from 2002 to 2009, 2012, and 

2018 for all area source SCCs except fuel combustion sources. Emissions from area 

source fuel combustion were projected using the AEO2005 forecasts. 

3.2.3.4 Maine 

Maine indicated that it preferred to use the EGAS 5.0 growth factors and the DOE’s 2005 

Annual Energy Outlook data for combustion sources. 

3.2.3.5 Maryland 

Maryland provided growth factors by SCC for all counties in the State. These growth 

factors were derived from a variety source sources, including the MWCOG Cooperative 

Forecast 7.0, the BMC Round 6A Cooperative Forecast (prepared by the MD Dept. of 

Planning, May 2004), and EGAS 5.0. 

3.2.3.6 Massachusetts 

Massachusetts provided county-level population data for the years 2000, 2010, and 2020. 

We interpolated these data to get growth factors for projection from 2002 to 2009, 2012, 

and 2018 for those SCCs that are population based. Massachusetts also provided growth 

factors for several SCCs based on employment data for the years 2000 and 2010. We 

interpolated these data to get growth factors for projection from 2002 to 2009, 2012, and 

2018. Massachusetts agreed on the use of the AEO2005 forecasts for projecting emissions 

from area source fuel combustion. 

3.2.3.7 New Hampshire 

New Hampshire agreeed to use the EGAS 5.0 growth factors, with the enhancement of 

using the DOE’s 2005 Annual Energy Outlook data for combustion sources. 

3.2.3.8 New Jersey 

New Jersey provided growth factors for most SCCs for all counties in the State. When 

state-specific growth factors were not available, we used the AEO2005 forecasts for 

projecting emissions from area source fuel combustion and EGAS default factors for any 

remaining categories. 

3.2.3.9 New York 

New York provided county-level population data for 2002 and projections/growth factors for 2009, 

2012, and 2018. We used these growth factors for those SCCs that are population based. We used 

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the AEO2005 forecasts for projecting emissions from area source fuel combustion and 

EGAS default factors for any remaining categories. 

3.2.3.10 Pennsylvania 

Pennsylvania provided county-level population data for 2000 and projections for 2010 and 

2020. We interpolated these data to get growth factors for projecting from 2002 to 2009, 

2012, and 2018 for those SCCs that are population based. Pennsylvania also provided 

general employment data for 21 counties or area for 2000 and projections for 2010 and 

2020. We interpolated these data to get growth factors for projecting from 2002 to 2009, 

2012, and 2018 for nine area source categories identified by Pennsylvania. For all other 

area source categoried, we used the AEO2005 forecasts for projecting emissions from area 

source fuel combustion and EGAS default factors for any remaining categories. 

3.2.3.11 Rhode Island 

Rhode Island provided county-level population projections for 2000, 2005, 2010, 2015, 

and 2020. We interpolated these data to get growth factors for projection from 2002 to 

2009, 2012, and 2018 for those SCCs that are population based. Rhode Island provided 

state-level employment data from the Department of Labor and Training by 3-digit NAICS 

codes for 2002 and 2012. We used these data to calculate the growth factor from 2002 to 

2012 and interpolated these data to derive growth factors for 2009 and 2018. We matched 

these industry NAICS groupings to SCC codes in order to create SCC specific growth 

factors for area sources. Rhode Island agreed on the use of the AEO2005 forecasts for 

projecting emissions from area source fuel combustion. 

3.2.3.12 Vermont 

Vermont agreed to use the EGAS 5.0 growth factors, with the enhancement of using the 

DOE’s 2005 Annual Energy Outlook data for combustion sources. 

3.3 AREA SOURCE CONTROL FACTORS 

We developed control factors to estimate emission reductions that will result from on-thebooks regulations that will result in post-2002 emission reductions and proposed 

regulations or actions that will result in post-2002 reductions. Control factors were 

developed for the following national or regional control measures: 

• OTC VOC Model Rules 

• Federal On-board Vapor Recovery 

• New Jersey Post-2002 Area Source Controls 

• Residential Woodstove NSPS 

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3.3.1 OTC 2001 VOC Model Rules 

Most of the MANE-VU States have adopted (or will soon adopt) the Ozone Transport 

Commission (OTC) model rules for five area source VOC categories: consumer products, 

architectural and industrial maintenance (AIM) coatings, portable fuel containers, mobile 

equipment repair and refinishing (MERR), and solvent cleaning. Information on the 

percent reduction anticipated by each model rule was obtained from Table II-6 of Control 

Measure Development Support Analysis of Ozone Transport Commission Model Rules

(E.H. Pechan & Associates, Inc., March 31, 2001). This set of model rules will be referred 

to as the “OTC 2001 model rules” in this document. Information as to whether a particular 

state has adopted (or will soon adopt) a particular measure was obtained form the Status 

Report on OTC States’ Efforts to Promulgate Regulations Based on OTC Model Rules (As 

of June 1, 2005, as posted on the OTC web site). For all categories, except portable fuel 

containers (see discussion below), we assumed that the rules would be fully implemented 

by all states by 2009. Some states had already adopted some the OTC 2001 Model Rules 

in 2002 or already had similar rules in place in 2002. The 2002 emission inventory for 

those states already reflected the emission reductions expected from the OTC 2001 Model 

Rule level of control. For those states and categories, no incremental reductions were 

applied for to the future year projections, as indicated Table 3-1. 

For consumer products, the 2001 OTC model rule was estimated to provide a 14.2 percent 

VOC emissions reductions from the Federal Part 59 rule. Most, but not all, states in the 

OTR have adopted the OTC 2001 model rule for consumer products. For this inventory, it 

was assumed that all OTC states would adopt the 2001 OTC model rule prior to 2009. 

Thus, the 14.2 percent control factor was applied uniformly to all states in the 2009, 2012, 

and 2018 projection inventories. 

For AIM coatings, the 2001 OTC model rule was estimated to provide a 31 percent VOC 

emissions reduction from the Federal Part 59 rule. Most, but not all, states in the OTR 

have adopted the OTC 2001 model rule for AIM coatings. For this inventory, it was 

assumed that all OTC states would adopt the 2001 OTC model rule prior to 2009. Thus, 

this control factor was applied uniformly to all states, with one exception. Maine adopted 

the OTC model rule with an alternative VOC content limit for varnishes and interior wood 

clear and semitransparent wood stains. As a result, Maine estimated that reductions from 

AIM coatings should be modeled using a 29.5 percent control factor instead of the 31 

percent estimated for the OTC 2001 model rule. 

For portable fuel containers, the 2001 OTC model rule was estimated to provide a 75 

percent reduction in VOC emissions at the end of an assumed 10-year phase-in period as 

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Table 3-1 Adoption Matrix for 2001 OTC Model Rules 

State Consumer 

Products 

AIM 

Coatings 

Portable Fuel 

Containers 

Mobile 

Equipment 

Repair and 

Refinishing 

Solvent 

Cleaning 

CT Yes Yes Yes Yes Yes 

DE Yes Yes Yes Yes No 

DC Yes Yes Yes Yes No 

ME Yes Yes Yes Yes Yes 

MD Yes Yes Yes No No 

MA Yes Yes Yes No * (7%) 

NH Yes Yes Yes Yes Yes 

NJ Yes Yes Yes Yes ** (17%) 

NY Yes Yes Yes Yes Yes 

PA Yes Yes Yes No No 

RI Yes Yes Yes Yes Yes 

VT Yes Yes Yes Yes No 

Yes – apply incremental reductions in future years 

No – OTC Model Rule reductions already accounted for in 2002 inventory; no incremental reductions 

applied to future years. 

* MA is amending its existing Solvent/Degreasing rule and anticipates a 7% reduction from 2002 levels. 

** NJ amended its existing Solvent/Degreasing rule and anticipates a 17% reduction from 2002 levels 

older non-compliant containers are replaced with new compliant containers. The rule 

penetration (RP) depends on the assumed PFC estimated useful life and how quickly old 

non-compliant containers are replaced with new compliant containers. For the 2001 OTC 

model rule, the turnover from old to new containers is expected to be 10 percent per year. 

The MANEVU states have adopted the OTC 2001 model rule at different times, so the rule 

penetration will vary by State depending upon when the rule became effective in a given 

state. For example, compliant containers were required in Pennsylvania beginning on 

January 1, 2003. By the 2009 ozone season, there will be a 6.5 year turnover period for 

compliant PFCs in Pennsylvania. By contrast, compliant containers in New Jersey were 

not required until January 1, 2005. Thus, by the 2009 ozone season, there will be a 4.5 

year turnover period for compliant PFCs. Table 3.2 shows the effective date for compliant 

containers by state, along with the rule penetration factors and overall control efficiency. 

There are different rule penetration factors for the three inventory years because of the 

increased penetration of compliant containers into the marketplace. By 2018, 100 percent 

compliance is assumed. 

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Table 3-2 Rule Penetration and Control Efficiency Values for 

2001 OTC Model Rule for PFCs 

Rule 

Compliance 

Date 

States with this 

Compliance 

Date 

Control 

Efficiency 

(%) 

Rule 

Penetration 

(%) 

Overall Control 

Efficiency 

(%) 

Control Factor for 2009 Inventory 

2003 MD, NY, PA 75 65 48.8 

2004 CT, DE, DC, ME 75 55 41.3 

2005 NJ 75 45 33.8 

2006 NH 75 35 26.3 

2007* MA, RI, VT 75 25 18.8 

Control Factor for 2012 Inventory

2003 MD, NY, PA 75 95 71.3 

2004 CT, DE, DC, ME 75 85 63.8 

2005 NJ 75 75 56.3 

2006 NH 75 65 48.8 

2007* MA, RI, VT 75 55 41.3 

Control Factor for 2009 Inventory

2003 MD, NY, PA 75 100 75.0 

2004 CT, DE, DC, ME 75 100 75.0 

2005 NJ 75 100 75.0 

2006 NH 75 100 75.0 

2007* MA, RI, VT 75 100 75.0 

* 2001 OTC model rule not yet effective; assumed to become effective January 1, 2007. 

For mobile equipment repair and refinishing, the 2001 OTC model rule was estimated to 

provide a 38 percent VOC emissions reductions from the Federal Part 59 rule. Most, but 

not all, states in the OTR have adopted the OTC 2001 model rule for MERR or already had 

similar rules in effect in 2002. For this inventory, it was assumed that all OTC states 

would adopt the 2001 OTC model rule prior to 2009 or have similar rules in effect. For 

those states (MD, MA, PA) that had similar rules in effect in 2002 or earlier, no 

incremental reductions were applied since it was assumed that the effects of the state rule 

were already accounted for in the 2002 inventory. New Jersey indicated that a 19 percent 

control factor should be used for VOC emissions from MERR in New Jersey. For all other 

states, the OTC 2001 Model Rule control factor of 38 percent was applied. 

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For solvent cleaning, the 2001 OTC model rule was estimated to provide a 66 percent 

VOC emissions reductions. Most, but not all, states in the OTR have adopted the OTC 

2001 model rule for solvent cleaning or already had similar rules in effect in 2002. For 

this inventory, it was assumed that all OTC states would adopt the 2001 OTC model rule 

prior to 2009 or have similar rules in effect. For those states (DE, DC, MD, PA, VT) that 

had similar rules in effect in 2002 or earlier, no incremental reductions were applied since 

it was assumed that the effects of the state rule were already accounted for in the 2002 

inventory. Massachusetts indicated that some portion of the reductions resulting from the 

OTC 2001 model rule were already accounted for in their 2002 emisisons, but that the state 

anticipated an additional 7 percent reduction from anticipated amendments. New Jersey 

indicated that a 17 percent control factor should be used for VOC emissions from solvent 

cleaning in New Jersey. For all other states (CT, ME, NH, NY, RI), the OTC 2001 Model 

Rule control factor of 66 percent was applied. 

Table D-1 shows the anticipated percent reductions by state, SCC, and year from 

implementation of the OTC 2001 VOC Model Rules. 

3.3.2 On-Board Vapor Recovery 

The U.S. EPA issued regulations requiring onboard vapor recovery (ORVR) standards for 

the control of vehicle refueling emissions in 1994. ORVR works by routing refueling 

vapors to a carbon canister on the vehicle and are expected to achieve from 95-98 percent 

reduction in VOC emissions for those vehicles equipped with ORVR. ORVR is required 

to be installed on some new vehicles in 1998, and all new vehicles will be required to have 

ORVR installed by 2006. 

For the Lake Michigan Air Directors Consortium, E.H. Pechan made estimates of emission 

reductions as they grow over time due to increased rule penetration. The following 

discussion describes how the on-board vapor recovery control factors were developed 

(email from Maureen Mullen, E.H. Pechan): 

“Onroad refueling control factors were calculated based on the percentage 

difference between the projection year (2007, 2008, 2009, 2012, and 2018) 

MOBILE6 refueling emission factors and the 2002 MOBILE6 refueling emission 

factors. 

MOBILE6 emission factors were calculated at January and July temperature and 

fuel conditions. July emission factors were used as the surrogate for the five-month 

ozone season (May through September) and the January emission factors were used 

as the surrogates for the remaining seven months. Temperatures modeled were the 

January and July average daily monthly maximum and minimum temperatures for 

each State, based on 30-year average temperature data, as used in EPA’s second 

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Section 812 Prospective analysis. Within a State, MOBILE6 input files were 

created for each unique combination of: January and July RVP, RFG, oxygenated 

fuel, and Stage II control programs. Fuel data was based on 2002 data, also as used 

in the Section 812 analysis. Information on Stage II control programs and control 

efficiencies were provided by EPA, as included in the draft 2002 NEI. Using these 

same temperature inputs, fuel inputs, and Stage II control inputs (where 

applicable), Pechan calculated MOBILE6 emission factors for calendar years 2002, 

2007, 2008, 2009, 2012, and 2018. 

The resulting MOBILE6 emission factors were first weighted according to the 

default MOBILE6 VMT mix to determine the weighted average refueling emission 

factor for all gasoline vehicle types. The resulting January and July emission 

factors were weighted together according to the number of days in the seven-month 

season (212 days) and the five-month ozone season (153). After this was done for 

all of the modeled years and State or sub-State areas, the overall control efficiency 

for refueling, due to fleet turnover, was calculated based on the percentage 

difference between the 2002 and corresponding projection year emission factors. 

These control efficiencies were then assigned to individual counties, based on the 

mapping of fuel and Stage II control parameters to those modeled in the MOBILE6 

files.” 

These projections were made on a county-by-county basis. Table D-2 shows the 

anticipated percent reductions by county, SCC, and year. 

3.3.3 Post-2002 Area Source Controls in New Jersey 

New Jersey made gasoline transfer provision amendments at N.J.A.C. 7:27-16.3 that are 

expected to result in emissions reductions of 23.2 percent from the 2002 baseline. This is 

based on a control efficiency of 29 percent and a rule effectiveness of 80 percent. 

New Jersey also made amendments to ICI boiler provisions at N.J.A.C. The amendments 

require any ICI boiler has a maximum gross heat input rate of at least 5 mmBTU/hour, 

whether or not it is located at a major NOx facility, to conduct annual tune-ups. In the 

support documentation for this rule amendment, New Jersey estimated that the tune-ups 

would result in a 25 percent reduction in NOx emissions.

3.3.4 Residential Wood Combustion 

Control factors were evaluated to account for the replacement of retired woodstoves that 

emit at pre-new source performance standard (NSPS) levels. We used EPA’s latest 

methodology provided by Marc Houyoux of EPA/OAQPS. This methodology uses a 

combination growth and control factor and is based on activity not pollutant. The growth 

and control are accounted for in a single factor the SCCs split out the controlled and 

uncontrolled equipment. The control is indirectly incorporated based on which stove is 

used. The combined growth and control rates are as follows: 

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• Fireplaces increase 1%/yr 

• Old woodstoves decrease 2%/yr 

• New woodstoves increase 2%/yr 

The data to support these rates were collected as part of the woodstove change-out program 

development in OAQPS. Table D-3 shows the anticipated percent changes by SCC and 

year. 

3.4 AREA SOURCE QA/QC REVIEW 

Throughout the inventory development process, quality assurance steps were performed to 

ensure that no double counting of emissions occurred, to ensure that a full and complete 

inventory was developed for MANE-VU, and to make sure that projection calculations 

were working correctly. Quality assurance was an important component to the inventory 

development process and MACTEC performed the following QA steps on the area source 

components of the 2009/2012/2018 projection inventories: 

1. State agencies reviewed the draft growth and control factors in the summer of 

2005. Changes based on these comments were implemented in the files. 

2. SCC level emission summaries were prepared and evaluated to ensure that 

emissions were consistent and that there were no missing sources. Tier 

comparisons (by pollutant) were developed between the revised 2002 base year 

inventory and the 2009/2012/2018 projection inventories. 

3. Emission inventory files in NIF format were provided for state agency review 

and comment. Changes based on these comments were implemented. 

4. All final files were run through EPA’s Format and Content checking software. 

3.5 AREA SOURCE NIF, SMOKE AND SUMMARY FILES 

The Version 3 file names and descriptions delivered to MARAMA are shown in Table 3-3. 

3.6 AREA SOURCE EMISSION SUMMARIES 

Emission summaries by state, year, and pollutant are presented in Tables 3-4 through 3-10 

for CO, NH3, NOx, PM10-PRI, PM25-PRI, SO2, and VOC, respectively. 

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Table 3-3 Area Source NIF, IDA, and Summary File Names 

File Name Date Description 

MANEVU_OTB2009_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2009 OTB area 

source NIF inventory 

MANEVU_OTB2012_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2012 OTB area 

source NIF inventory 

MANEVU_OTB2018_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2018 OTB area 

source NIF inventory 

MANEVU_OTB2009_Area_IDAV3_2.txt Nov. 20, 2006 Version 3.2 of 2009 OTB area 

source inventory in SMOKE 

IDA format 

MANEVU_OTB2012_Area_IDAV3_2.txt Nov. 20, 2006 Version 3.2 of 2012 OTB area 

source inventory in SMOKE 

IDA format 

MANEVU_OTB2018_Area_IDA3V_2.txt Nov. 20, 2006 Version 3.2 of 2018 OTB area 

source inventory in SMOKE 

IDA format 

MANEVU OTB BOTW Area V3_2 State Summary.xls Nov. 8, 2006 Spreadsheet with state totals by 

pollutant for all area sources 

MANEVU OTB BOTW Area V3_2 State SCC 

Summary.xls 

Nov. 8, 2006 Spreadsheet with SCC totals by 

state and pollutant for all area 

sources. 

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Table 3-4 Area Sources 

OTB/OTW Annual CO Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 70,198 65,865 63,874 59,797 

DE 14,052 15,395 15,233 14,864 

DC 2,300 2,417 2,460 2,512 

ME 109,223 102,743 99,877 94,181 

MD 141,178 143,653 144,233 144,649 

MA 137,496 132,797 130,255 125,205 

NH 79,647 76,504 75,319 73,038 

NJ 97,657 90,432 88,048 83,119 

NY 356,254 336,576 327,118 307,659 

PA 266,935 266,887 264,012 257,396 

RI 8,007 8,007 8,026 8,024 

VT 43,849 42,683 42,172 41,283 

Total 1,326,796 1,283,959 1,260,627 1,211,727 

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-5 Area Sources 

OTB/OTW Annual NH3 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 5,318 5,208 5,156 5,061 

DE 13,279 13,316 13,328 13,342 

DC 14 16 16 17 

ME 8,747 10,453 11,116 12,312 

MD 25,834 31,879 34,222 38,155 

MA 18,809 19,131 19,275 19,552 

NH 2,158 2,466 2,584 2,789 

NJ 17,572 19,457 20,154 21,435 

NY 67,422 81,626 87,116 96,078 

PA 79,911 98,281 105,418 117,400 

RI 883 945 972 1,025 

VT 9,848 12,156 13,062 14,580 

Total 249,795 294,934 312,419 341,746 

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-6 Area Sources 

OTB/OTW Annual NOx Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 12,689 13,173 13,342 13,388 

DE 2,608 2,821 2,913 3,014 

DC 1,644 1,961 2,081 2,259 

ME 7,360 7,477 7,486 7,424 

MD 15,678 16,858 17,315 18,073 

MA 34,281 35,732 36,331 37,187 

NH 10,960 11,879 12,055 12,430 

NJ 26,692 24,032 23,981 23,660 

NY 98,803 106,375 107,673 108,444 

PA 47,591 50,162 50,793 50,829 

RI 3,886 4,149 4,260 4,397 

VT 3,208 3,419 3,429 3,430 

Total 265,400 278,038 281,659 284,535 

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-7 Area Sources 

OTB/OTW Annual PM10-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 48,281 48,970 49,004 49,479 

DE 13,039 13,928 14,236 14,844 

DC 3,269 3,511 3,605 3,825 

ME 168,953 175,979 179,689 189,619 

MD 95,060 105,944 110,141 117,396 

MA 192,860 198,668 200,692 204,922 

NH 43,328 46,060 47,187 49,801 

NJ 61,601 61,684 61,284 60,880 

NY 369,595 382,124 385,925 392,027 

PA 391,897 421,235 432,844 454,970 

RI 8,295 8,962 9,244 9,797 

VT 56,131 60,521 62,465 66,916 

Total 1,452,309 1,527,586 1,556,316 1,614,476 

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-8 Area Sources 

OTB/OTW Annual PM25-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 14,247 13,766 13,517 13,033 

DE 3,204 3,387 3,403 3,426 

DC 805 860 879 917 

ME 32,774 33,026 33,189 33,820 

MD 27,318 28,923 29,508 30,449 

MA 42,083 43,121 43,186 43,438 

NH 17,532 17,965 18,050 18,316 

NJ 19,350 18,590 18,271 17,653 

NY 87,154 87,576 87,260 86,422 

PA 74,925 79,169 80,728 83,570 

RI 2,064 2,184 2,232 2,316 

VT 11,065 11,482 11,652 12,059 

Total 332,521 340,049 341,875 345,419 

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-9 Area Sources 

OTB/OTW Annual SO2 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 12,418 12,581 12,604 12,184 

DE 1,588 1,599 1,602 1,545 

DC 1,337 1,487 1,541 1,632 

ME 13,149 13,776 13,846 13,901 

MD 12,393 13,685 14,074 14,741 

MA 25,488 25,961 26,029 25,570 

NH 7,072 7,463 7,470 7,421 

NJ 10,744 10,672 10,697 10,510 

NY 130,409 139,589 140,154 141,408 

PA 63,679 67,535 67,446 66,363 

RI 4,557 5,024 5,189 5,398 

VT 4,087 4,646 4,687 4,764 

Total 286,921 304,018 305,339 305,437 

0

25,000

50,000

75,000

100,000

125,000

150,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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Table 3-10 Area Sources 

OTB/OTW Annual VOC Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 87,302 75,693 73,560 71,274 

DE 15,519 14,245 13,943 13,744 

DC 6,432 5,420 5,352 5,255 

ME 100,621 91,910 91,667 92,410 

MD 120,254 110,385 108,067 110,046 

MA 162,145 148,625 145,674 140,558 

NH 65,370 63,069 63,356 64,368 

NJ 167,882 147,617 143,752 139,626 

NY 507,292 462,811 456,856 457,421 

PA 240,785 228,444 230,393 243,421 

RI 31,402 26,695 25,548 23,561 

VT 23,265 24,068 24,635 26,198 

Total 1,528,269 1,398,982 1,382,803 1,387,882 

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

550,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2012 OTB/W

2018 OTB/W

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4.0 NONROAD SOURCES 

The nonroad source sector is comprised of nonroad engines included in EPA’s 

NONROAD model, as well as other nonroad engines not accounted for in the NONROAD 

model, including aircraft, commercial marine vessels, and locomotive engines. The 

sections that follow describe the projection process used to develop 2009/2012/2018 

nonroad projection estimates for sources found in the NONROAD model and those 

sources estimated outside of the model (locomotives, airplanes and commercial marine 

vessels). 

4.1 NONROAD MODEL SOURCES 

NONROAD model source categories include equipment such as recreational boats and 

watercraft; recreational vehicles; farm, industrial, mining, and construction machinery; and 

lawn and garden equipment. Also included are aircraft ground support equipment and rail 

maintenance equipment. These equipment types are powered by engines using diesel, 

gasoline, compressed natural gas (CNG), and liquefied petroleum gas (LPG). 

EPA released a revised version of NONROAD during December 2005 called NONROAD 

2005. EPA’s National Mobile Inventory Model (NMIM) is a consolidated modeling 

system that incorporates the NONROAD and MOBILE models, along with a county 

database of inputs. EPA also released an updated version of NMIM called NMIM2005, 

which incorporates the NONROAD2005 model. 

MACTEC utilized the NMIM2005 model to develop projections for nonroad engines 

included in the NONROAD2005 model. Projected emission estimates were calculated 

using NMIM default data. Prior to starting the NMIM2005 runs, MACTEC confirmed 

with U.S. EPA’s Office of Transportation and Air Quality (OTAQ) that the database used 

for fuel sulfur content, gas Reid Vapor Pressure (RVP) values and reformulated fuel 

programs was current and up to date for the MANE-VU region. The information received 

from OTAQ indicated that these values were the most current. 

NMIM2005 runs were then developed for each projection year. These included 2009, 

2012 and 2018. Emission calculations were made at the monthly level and consolidated to 

provide annual values. This enabled monthly temperatures and changes in reformulated 

gas to be captured by the program. 

The NMIM/NONROAD2005 results in NIF 3.0, and ran EPA’s QA checker program to 

verify that the NIF 3.0 files were properly constructed. 

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4.2 AIRCRAFT, COMMERCIAL MARINE, AND LOCOMOTIVES 

Since aircraft, commercial marine vessels, and locomotives are not included in the 

NONROAD model, emission projections for these sources were developed separately. 

The starting point for the emission projections was Version 3 of the MANE-VU 2002 

Nonroad emission inventory (Documentation of the MANE-VU 2002 Nonroad Sector 

Emission Inventory, Version 3, Draft Technical Memorandum, March 2006). 

MACTEC’s approach to developing emission projections for these sources was to use 

combined growth and control factors developed from emission projections for U.S. EPA’s 

Clean Air Interstate Rule (CAIR) development effort. MACTEC obtained emission 

projections developed for the CAIR rule. We then calculated the combined growth and 

control factors by determining the ratio of emissions between 2002 and each of the 

MANE-VU projection years (2009, 2012, and 2018). The CAIR emissions were available 

for 2001, 2010, 2015 and 2020. Thus, we developed intermediate year estimates using 

linear interpolation between the actual CAIR years and the MANE-VU years. 

Using this approach we developed State/county/SCC/pollutant growth/control factors for 

use in projecting the MANE-VU base year data to the year of interest. These values were 

then used to multiply times the base year value to obtain the projected values. Since the 

development of the CAIR factors included both growth and controls, no separate control 

factors were developed for these sources except where exceptions to this method were used 

for States that requested alternative growth/control methods (see below). 

Once the CAIR factors were developed, MACTEC compared the SCCs contained in the 

CAIR inventory with those used in MANE-VU. In some cases there were differences. In 

cases where a similar SCC in the CAIR inventory could be assigned to the SCC in the 

MANE-VU inventory the State/County/SCC/pollutant growth and control factor for the 

substitute was assigned to the MANE-VU SCC. If no corresponding county SCC 

substitution could be found, a State or MANE-VU regional average value for the substitute 

SCC was developed and assigned for use in projecting emissions. The substitution scheme 

was to use State values first, then MANE-VU regional values if the State value couldn’t be 

used. 

This projection method was used with three exceptions. These exceptions were: 1) 

Maryland sources, 2) DC locomotive growth and controls and 3) Logan (Boston) airport. 

Each of these sources used alternative growth and/or controls provided by the States or 

developed from current Federal rules for these sources (applies to controls only). Each of 

these is discussed below. 

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4.2.1 Maryland Non-NONROAD Source Emissions 

Maryland indicated that they would prefer to use EGAS growth factors coupled with 

Federal controls to determine projected emissions for these source categories. Maryland 

provided EGAS growth factors for use with these categories. Control values were 

developed based on Federal rules that were on the books. 

For CMV, controls were developed based on data contained in Table 1.1-2 of the 

document “Final Regulatory Support Document: Control of Emissions from New Marine 

Compression-Ignition Engines at or Above 30 Liters per Cylinder,” EPA420-R-03-004, 

January 2003. Values in that table were interpolated to develop emission estimates with 

and without controls for the MANE-VU years (and base year) and then control factors 

were calculated for those values. Only Category 3 marine engines were identified in the 

Maryland inventory and thus only NOx controls for those engines were developed. 

For locomotives, control factors for different types of locomotives were developed using 

Tables 6-2 through 6-5 of the document “Locomotive Emission Standards: Regulatory 

Support Document,” United States Environmental Protection Agency, Office of Mobile 

Sources, April 1998. Since these tables only showed PM controls, we assumed the same 

level of control for both PM-10 and PM-2.5. Controls for VOC, NOx and PM were 

developed using these tables. 

In addition to engine specification controls for both CMV and locomotives, we also 

developed control factors resulting from changes to diesel fuel sulfur contents. The diesel 

fuel sulfur regulations were utilized to develop controls for SO2 and PM due solely to 

changing fuel sulfur requirements. Data from Tables 3.1-6a and 3.4-8a of the document 

“Final Regulatory Analysis: Control of Emissions from Nonroad Diesel Engines,” 

EPA420-R-04-007, May 2004 were used to develop control levels created due to changes 

in fuel sulfur content. In cases where there were controls due to both engine technology 

and fuel sulfur reduction, we added the control efficiencies together to create a combined 

control efficiency. All control values are considered to be “additive”. In other words, the 

controls applied are above those found in the base year. Thus the controls were used on 

the base year emission values without back-calculation to determine uncontrolled levels 

since the controls are in addition to those controls. 

The control values were then applied along with the growth factors to the base year 

emissions for Maryland to produce the required emission projections. 

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4.2.2 DC Locomotive Emissions 

The District of Columbia emission contact provided MACTEC with alternative growth 

factors for locomotive emissions. The growth factors provided were: 

2002-2009 6.9% 

2002-2012 9.9% 

2002-2018 13.7% 

Since the CAIR factors were combined growth and controls, the control factors developed 

for locomotives for Maryland (based on Federal control programs) were used to apply 

controls to the DC locomotive emissions. As was the case for Maryland, the control 

factors were “additive” and were used on the base year emission without back-calculating 

uncontrolled emissions since the control levels were relative to controls in place for 2002. 

4.2.3 Logan (Boston) Airport Emissions 

Massachusetts supplied historic and future year projections of operations at Logan Airport. 

The data covered the period 2000-2010. Since only one year of the period required for 

MANE-VU projections was included in that interval (2009), MACTEC developed 

estimates for 2012 and 2018 from those data by linear interpolation. Two linear 

interpolations were developed. The first used the entire data set (2000-2010) to develop a 

linear projection for 2012 and 2018 and a second using just the 2002-2010 data. For the 

final growth factors, MACTEC used the average of the two. These growth factors were 

then applied to commercial aircraft operations for Suffolk County (FIPS = 25025). The 

growth factors developed were: 

2002-2009 1.184 

2002-2012 1.22 

2002-2018 1.33 

No controls that would come on board for aircraft for the projection years were identified 

from a review of Federal programs. 

4.3 NONROAD QA/QC REVIEW 

Throughout the inventory development process, quality assurance steps were performed to 

ensure that no double counting of emissions occurred, to ensure that a full and complete 

inventory was developed for MANE-VU, and to make sure that projection calculations 

were working correctly. MACTEC performed the following QA steps on nonroad source 

projection inventories: (1) All final files (NONROAD only) were run through EPA’s 

Format and Content checking software; SCC level emission summaries were prepared and 

evaluated to ensure that emissions were consistent with the 2002 projections and that there 

were no missing source categories or geographical areas. 

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4.4 NONROAD NIF, SMOKE, AND SUMMARY FILES 

The Version 3.1 files delivered to MARAMA are shown in Table 4-1. 

4.5 NONROAD EMISSION SUMMARIES 

Table 4-2a shows the CO emissions by state and year for the seven pollutants of interest 

for the entire nonroad sector. Table 4-2b presents the CO emission results for NONROAD 

model equipment only. Table 4-2c presents the CO emission results for only the aircraft, 

commercial marine vessel, and locomotive categories. Tables 4-4 to 4-8 present the 

emission results for the other criteria pollutants of interest. 

Table 4-1 Nonroad Source NIF, IDA, and Summary File Names 

File Name Date Description 

MANEVU_OTB2009_NR_NIFV3_1.mdb Oct. 23, 2006 Version 3.1 of 2009 nonroad 

source NIF inventory 

MANEVU_OTB2012_NR_NIFV3_1.mdb Oct. 23, 2006 Version 3.1 of 2012 nonroad 

source NIF inventory 

MANEVU_OTB2018_NR_NIFV3_1.mdb Oct. 23, 2006 Version 3.1 of 2018 nonroad 

source NIF inventory 

MANEVU_OTB2009_NR_IDAV3_1.txt Oct. 26, 2006 Version 3.1 of 2009 nonroad 

source inventory in SMOKE 

IDA format 

MANEVU_OTB2012_NR_IDAV3_1.txt Oct. 26, 2006 Version 3.1 of 2012 nonroad 

source inventory in SMOKE 

IDA format 

MANEVU_OTB2018_NR_IDA3V_1.txt Oct. 26, 2006 Version 3.1 of 2018 nonroad 

source inventory in SMOKE 

IDA format 

MANEVU OTB Nonroad V3_1 State Summary.xls Oct. 23, 2006 Spreadsheet with state totals by 

pollutant for all nonroad 

sources, NONROAD model 

sources, and aircraft, 

locomotives, and commercial 

marine vessels 

MANEVU OTB Nonroad V3_1 State SCC Summary.xls Oct. 23, 2006 Spreadsheet with SCC totals by 

state and pollutant for all 

nonroad sources, NONROAD 

model sources 

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Table 4-2a All Nonroad Sources 

OTB/OTW Annual CO Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 276,773 282,788 288,061 303,764 

DE 68,782 74,856 76,491 80,646 

DC 18,845 20,746 21,306 22,429 

ME 153,424 163,782 165,273 166,679 

MD 437,400 497,276 513,737 550,795 

MA 461,514 504,400 516,019 546,373 

NH 130,782 142,318 143,804 147,544 

NJ 704,396 753,916 777,069 831,880 

NY 1,233,968 1,349,439 1,388,406 1,474,727 

PA 931,978 1,031,816 1,058,256 1,119,247 

RI 73,013 80,228 82,113 87,195 

VT 62,248 68,360 69,003 70,074 

Total 4,553,124 4,969,925 5,099,538 5,401,353 

0

250,000

500,000

750,000

1,000,000

1,250,000

1,500,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-2b NONROAD Model Sources 

OTB/OTW Annual CO Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 274,388 280,253 285,415 300,931 

DE 65,954 71,877 73,397 77,356 

DC 18,775 20,671 21,229 22,350 

ME 148,555 158,715 160,043 161,215 

MD 424,777 482,312 497,806 532,970 

MA 448,399 490,895 501,684 530,686 

NH 128,572 139,288 140,655 144,191 

NJ 692,548 741,792 764,424 818,519 

NY 1,219,309 1,333,923 1,372,164 1,457,277 

PA 903,168 1,003,480 1,029,045 1,088,614 

RI 71,573 78,764 80,607 85,618 

VT 61,732 67,802 68,421 69,456 

Total 4,457,748 4,869,771 4,994,890 5,289,186 

0

250,000

500,000

750,000

1,000,000

1,250,000

1,500,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-2c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual CO Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 2,385 2,535 2,646 2,833 

DE 2,828 2,979 3,094 3,290 

DC 70 75 77 79 

ME 4,868 5,067 5,230 5,464 

MD 12,624 14,964 15,931 17,825 

MA 13,116 13,505 14,335 15,687 

NH 2,211 3,030 3,149 3,353 

NJ 11,849 12,124 12,645 13,361 

NY 14,660 15,516 16,242 17,450 

PA 28,810 28,336 29,211 30,633 

RI 1,440 1,464 1,506 1,577 

VT 516 558 582 618 

Total 95,375 100,154 104,648 112,167 

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-3a All Nonroad Sources 

OTB/OTW Annual NH3 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 17 18 19 21 

DE 5 6 6 7 

DC 2 3 3 3 

ME 11 13 14 15 

MD 28 31 33 36 

MA 28 31 33 36 

NH 9 10 11 12 

NJ 43 45 47 52 

NY 79 89 94 103 

PA 55 62 66 73 

RI 4 4 5 5 

VT 5 5 6 6 

Total 287 317 337 369 

0

10

20

30

40

50

60

70

80

90

100

110

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-3b NONROAD Model Sources 

OTB/OTW Annual NH3 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 17 18 19 21 

DE 5 6 6 6 

DC 2 3 3 3 

ME 11 13 14 15 

MD 28 31 33 36 

MA 28 31 33 36 

NH 9 10 11 12 

NJ 43 45 47 52 

NY 79 89 94 103 

PA 55 62 66 73 

RI 4 4 5 5 

VT 5 5 6 6 

Total 287 318 335 369 

0

10

20

30

40

50

60

70

80

90

100

110

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-3c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual NH3 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 0 0 0 0 

DE 0 0 0 0 

DC 0 0 0 0 

ME 0 0 0 0 

MD 0 0 0 0 

MA 0 0 0 0 

NH 0 0 0 0 

NJ 0 0 0 0 

NY 0 0 0 0 

PA 0 0 0 0 

RI 0 0 0 0 

VT 0 0 0 0 

Total <1 <1 <1 <1 

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

10.0

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-4a All Nonroad Sources 

OTB/OTW Annual NOx Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 25,460 21,512 19,316 16,233 

DE 16,227 15,439 15,081 14,631 

DC 3,571 2,981 2,620 1,815 

ME 9,820 8,500 7,752 6,543 

MD 37,472 31,762 29,058 24,257 

MA 42,769 35,703 32,118 27,040 

NH 9,912 8,485 7,624 6,344 

NJ 63,479 52,703 48,234 41,166 

NY 109,878 94,186 85,852 72,400 

PA 103,824 76,105 67,818 55,771 

RI 5,002 4,022 3,470 2,723 

VT 4,217 3,452 2,992 2,262 

Total 431,631 354,850 321,935 271,185 

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-4b NONROAD Model Sources 

OTB/OTW Annual NOx Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 17,897 14,849 12,811 9,784 

DE 5,798 4,755 4,108 2,966 

DC 3,066 2,561 2,221 1,444 

ME 8,229 6,957 6,211 4,970 

MD 27,789 23,431 20,839 15,745 

MA 30,047 24,606 21,274 16,096 

NH 8,150 6,749 5,893 4,583 

NJ 43,515 34,447 30,416 23,594 

NY 78,648 66,645 58,900 45,400 

PA 62,265 49,982 42,571 30,797 

RI 4,564 3,624 3,066 2,294 

VT 4,170 3,403 2,941 2,205 

Total 294,138 242,009 211,252 159,877 

0

20,000

40,000

60,000

80,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-4c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual NOx Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 7,563 6,663 6,505 6,449 

DE 10,428 10,684 10,973 11,665 

DC 505 420 399 371 

ME 1,592 1,543 1,541 1,573 

MD 9,683 8,331 8,219 8,512 

MA 12,722 11,097 10,844 10,944 

NH 1,763 1,736 1,731 1,761 

NJ 19,964 18,256 17,818 17,572 

NY 31,230 27,541 26,952 27,000 

PA 41,559 26,123 25,247 24,974 

RI 438 398 404 429 

VT 47 49 51 57 

Total 137,493 112,841 110,683 111,308 

0

10,000

20,000

30,000

40,000

50,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-5a All Nonroad Sources 

OTB/OTW Annual PM10-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 1,952 1,642 1,532 1,236 

DE 1,021 947 940 897 

DC 310 235 209 135 

ME 1,437 1,367 1,301 1,086 

MD 4,936 4,353 4,191 3,814 

MA 3,531 2,964 2,768 2,246 

NH 1,058 944 881 698 

NJ 5,495 4,539 4,233 3,489 

NY 9,605 8,050 7,425 5,830 

PA 9,738 8,501 8,112 6,949 

RI 500 435 414 348 

VT 530 476 439 331 

Total 40,114 34,453 32,445 27,059 

0

2,000

4,000

6,000

8,000

10,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-5b NONROAD Model Sources 

OTB/OTW Annual PM10-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 1,713 1,407 1,295 987 

DE 570 456 414 301 

DC 298 226 200 127 

ME 1,204 1,119 1,039 797 

MD 3,119 2,534 2,321 1,782 

MA 2,887 2,370 2,176 1,640 

NH 947 834 769 581 

NJ 4,285 3,424 3,143 2,411 

NY 8,339 6,871 6,248 4,624 

PA 6,282 5,282 4,839 3,574 

RI 403 337 314 244 

VT 518 462 425 316 

Total 30,565 25,321 23,182 17,385 

0

2,000

4,000

6,000

8,000

10,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-5c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual PM10-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 239 235 237 249 

DE 451 491 526 596 

DC 12 9 9 8 

ME 233 248 262 289 

MD 1,817 1,819 1,870 2,032 

MA 644 594 592 606 

NH 111 110 112 117 

NJ 1,210 1,115 1,090 1,078 

NY 1,266 1,179 1,177 1,206 

PA 3,456 3,219 3,273 3,375 

RI 97 98 100 104 

VT 12 14 14 15 

Total 9,549 9,132 9,263 9,674 

0

1,000

2,000

3,000

4,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-6a All Nonroad Sources 

OTB/OTW Annual PM25-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 1,794 1,508 1,408 1,135 

DE 926 856 849 808 

DC 299 216 192 124 

ME 1,329 1,238 1,177 978 

MD 4,357 3,806 3,653 3,301 

MA 3,226 2,710 2,531 2,052 

NH 965 861 802 634 

NJ 4,997 4,113 3,829 3,143 

NY 8,821 7,390 6,815 5,349 

PA 8,440 7,274 6,900 5,808 

RI 443 383 364 303 

VT 486 436 402 303 

Total 36,084 30,791 28,922 23,938 

0

2,000

4,000

6,000

8,000

10,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-6b NONROAD Model Sources 

OTB/OTW Annual PM25-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 1,578 1,296 1,193 911 

DE 525 420 381 277 

DC 288 208 184 117 

ME 1,135 1,030 956 734 

MD 2,870 2,333 2,137 1,641 

MA 2,659 2,184 2,005 1,512 

NH 872 768 708 536 

NJ 3,951 3,154 2,896 2,223 

NY 7,677 6,327 5,755 4,262 

PA 5,784 4,866 4,459 3,296 

RI 371 311 290 226 

VT 477 426 391 292 

Total 28,186 23,321 21,356 16,027 

0

2,000

4,000

6,000

8,000

10,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-6c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual PM25-PRI Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 216 212 215 224 

DE 401 436 468 531 

DC 11 8 8 7 

ME 194 208 221 244 

MD 1,487 1,473 1,516 1,660 

MA 568 526 526 540 

NH 94 93 94 98 

NJ 1,047 959 933 920 

NY 1,144 1,063 1,060 1,087 

PA 2,656 2,408 2,441 2,512 

RI 72 72 74 77 

VT 9 10 11 11 

Total 7,898 7,470 7,566 7,911 

0

1,000

2,000

3,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-7a All Nonroad Sources 

OTB/OTW Annual SO2 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 2,087 887 711 815 

DE 3,983 2,851 2,834 3,296 

DC 375 66 9 5 

ME 917 201 82 82 

MD 7,942 1,638 706 577 

MA 3,791 983 470 442 

NH 891 310 218 246 

NJ 15,686 3,508 1,253 832 

NY 12,920 3,387 1,724 1,686 

PA 7,915 1,659 667 607 

RI 377 93 42 42 

VT 372 68 15 13 

Total 57,257 15,651 8,731 8,643 

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-7b NONROAD Model Sources 

OTB/OTW Annual SO2 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 1,377 249 39 28 

DE 513 90 12 8 

DC 341 59 6 3 

ME 772 132 24 19 

MD 2,569 452 63 42 

MA 2,428 429 66 47 

NH 673 119 20 16 

NJ 3,525 607 93 67 

NY 6,966 1,208 182 130 

PA 5,292 917 135 92 

RI 336 60 10 7 

VT 368 64 10 8 

Total 25,159 4,387 661 467 

0

2,000

4,000

6,000

8,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-7c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual SO2 Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 711 638 672 787 

DE 3,470 2,761 2,822 3,288 

DC 34 7 3 2 

ME 145 69 58 63 

MD 5,372 1,186 643 535 

MA 1,363 554 404 395 

NH 218 191 198 230 

NJ 12,161 2,901 1,160 765 

NY 5,953 2,179 1,542 1,556 

PA 2,623 742 532 515 

RI 42 33 32 35 

VT 5 4 5 5 

Total 32,097 11,264 8,070 8,176 

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-8a All Nonroad Sources 

OTB/OTW Annual VOC Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 33,880 24,910 22,657 20,694 

DE 8,010 6,440 6,044 5,653 

DC 2,073 1,559 1,438 1,369 

ME 31,144 29,445 27,093 21,988 

MD 56,330 43,260 40,266 37,969 

MA 56,749 43,429 39,713 36,306 

NH 22,377 19,651 17,933 15,003 

NJ 83,919 62,920 57,769 53,625 

NY 157,612 128,421 117,770 104,562 

PA 102,331 84,744 78,630 69,956 

RI 7,780 6,038 5,640 5,389 

VT 10,548 10,105 9,304 7,566 

Total 572,751 460,922 424,257 380,080 

0

30,000

60,000

90,000

120,000

150,000

180,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-8b NONROAD Model Sources 

OTB/OTW Annual VOC Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 33,519 24,546 22,286 20,308 

DE 7,531 5,943 5,533 5,115 

DC 2,053 1,540 1,419 1,351 

ME 30,741 29,030 26,669 21,547 

MD 53,035 39,731 36,638 34,106 

MA 54,836 41,473 37,706 34,185 

NH 22,238 19,476 17,752 14,810 

NJ 81,900 60,878 55,682 51,451 

NY 155,475 126,265 115,553 102,224 

PA 99,241 82,094 75,941 67,186 

RI 7,699 5,956 5,556 5,302 

VT 10,520 10,076 9,273 7,533 

Total 558,788 447,006 410,009 365,117 

0

30,000

60,000

90,000

120,000

150,000

180,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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Table 4-8c Aircraft, Locomotive, and Commercial Marine Sources 

OTB/OTW Annual VOC Emission Projections 

(tons per year) 

State 2002 2009 2012 2018 

CT 361 364 371 386 

DE 480 497 511 538 

DC 20 19 19 18 

ME 403 415 424 441 

MD 3,295 3,529 3,628 3,863 

MA 1,913 1,956 2,007 2,121 

NH 139 175 181 193 

NJ 2,019 2,042 2,087 2,174 

NY 2,137 2,156 2,217 2,338 

PA 3,090 2,650 2,689 2,770 

RI 81 82 84 87 

VT 27 29 31 33 

Total 13,964 13,916 14,248 14,963 

0

1,000

2,000

3,000

4,000

5,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009

2012

2018

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5.0 BEYOND-ON-THE-WAY EMISSION INVENTORY 

The States are considering additional control measures as part of their planning to achieve 

regional haze goals and to attain the ozone and PM2.5 National Ambient Air Quality 

Standards (NAAQS). To accomplish this, many of the states will need to implement 

additional measures to reduce emissions. As such, the Ozone Transport Commission 

(OTC) undertook an exercise to identify a suite of additional control measures that could 

be used by the states in the Ozone Transport Region (OTR) in attaining their ai quality 

goals. 

Based on the analyses conducted by various OTC Workgroups, the OTC Commissioners 

made several recommendations at the Commissioner’s meeting in Boston on June 7, 2006: 

• Memorandum of Understanding Among the States of the Ozone Transport 

Commission on a Regional Strategy Concerning the Integrated Control of Ozone 

Precursors from Various Sources 

• Resolution 06-02 of the Ozone Transport Commission Concerning Coordination 

and Implementation of Regional Ozone Control Strategies for Certain Source 

Categories 

• Statement of the Ozone Transport Commission Concerning Multi-Pollutant 

Emission Control of Electric Generating Units 

• Resolution 06-03 of the Ozone Transport Commission Concerning Federal 

Guidance and Rulemaking for Nationally-Relevant Ozone Control Measures 

The Commissioners recommended that States consider emission reductions from the 

following source categories: 

• Consumer Products 

• Portable Fuel Containers 

• Adhesives and Sealants Application 

• Diesel Engine Chip Reflash 

• Cutback and Emulsified Asphalt Paving 

• Asphalt Production Plants 

• Cement Kilns 

• Glass Furnaces 

• Industrial, Commercial, and Institutional (ICI) Boilers 

• Regional Fuels 

• Electric Generating Units (EGUs) 

This suite of controls for the above source categories constitutes a “beyond-on-the-way” 

(BOTW) scenario to be used in modeling ozone, fine particles, and regional haze in the 

OTR and MANE-VU regions. 

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For the MANE-VU modeling inventory, each state was asked to complete a matrix to 

identify which of the above source category control measures to include and in which years 

the control measure should be applied. This section documents the emission reductions 

anticipated to result from the implementation of the above control measures based on the 

state recommendations for measures to include for each state, source category, and 

projection year. There are five subsections discussing the control measure and emission 

reductions for the five source category sectors: nonEGU point sources, area sources, 

EGUs, onroad mobile sources, and nonroad mobile sources. 

5.1 NONEGU POINT SOURCES 

This Section describes the analysis of the control measures to reduce emissions from nonEGU point sources. The control measures included in this analysis reduce emissions for 

the following pollutants and nonEGU point source categories: 

• NOx measures: asphalt production plants; cement kilns; glass and fiberglass 

furnaces; low sulfur heating oil for commercial and institional units; and ICI boilers 

(natural gas, #2 fuel oil, #4/#6 fuel oil, and coal); 

• Primary PM10 and PM2.5 measure: commercial heating oil; 

• SO2 measures: commercial heating oil and ICI boilers (#2 fuel oil, #4/#6 fuel oil, 

and coal); and 

• VOC measure: adhesives and sealants application; 

For the MANE-VU modeling inventory, each state was asked to complete a matrix to 

identify which nonEGU control measures to include and in which years the control 

measure should be applied. Table 5.1 summarizes the staff recommendations for NOx 

control measures to include in the BOTW regional modeling inventory for non-EGU 

source categories (except ICI boilers). Table 5.2 summarizes the staff recommendations 

for NOx emission reductions for ICI boilers. Tables 5.3 and 5.4 summarize the staff 

recommendations for control measures to include in the BOTW regional modeling 

inventory for SO2 and VOC emissions, respectively. The following subsections describe 

the emission reductions anticipated for each of the control measures. 

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Table 5.1 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – NOx Emissions from NonEGU Point Sources 

Asphalt 

Production Plants Cement Kilns 

Glass and 

Fiberglass 

Furnaces 

Commercial & 

Institutional 

Heating Oil 

State 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 

CT Yes Yes Yes N/A N/A N/A N/A N/A N/A No No Yes 

DE No No No N/A N/A N/A N/A N/A N/A No No No 

DC Yes Yes Yes N/A N/A N/A N/A N/A N/A No Yes Yes 

ME No No No Yes Yes Yes N/A N/A N/A No Yes Yes 

MD No No No Yes Yes Yes Yes Yes Yes No Yes Yes 

MA No No No N/A N/A N/A Yes Yes Yes No Yes Yes 

NH No No No N/A N/A N/A N/A N/A N/A No No Yes 

NJ No Yes Yes N/A N/A N/A No Yes2 Yes2 No Yes Yes 

NY Yes Yes Yes Yes1 Yes1 Yes1 Yes2 Yes3 Yes3 No Yes Yes 

PA No No No No Yes Yes Yes Yes Yes No Yes Yes 

RI No No No N/A N/A N/A No No No No Yes Yes 

VT No No No N/A N/A N/A N/A N/A N/A No No No 

Yes - Include emission reductions from control measure in modeling inventory 

No - Do not include emission reduction from control measure in modeling inventory 

N/A – No facilities of this type located in the state 

1) New York specified that a 40 percent NOx reduction from cement kilns should be used. 

2) New Jersey specified a 20 percent NOx reduction from glass furnaces in 2012 and a 35 percent 

reduction in 2018. 

3) New York specified a 70 percent NOx reduction from glass furnaces beginning in 2009. 

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Table 5.2 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – NOx Emissions from ICI Boilers 

ICI Boilers 

< 25 mmBTU/hour 

ICI Boilers 

25-50 mmBtu/hour 

ICI Boilers 

50-100 

mmBtu/hour 

ICI Boilers 

100-250 

mmBtu/hour 

ICI Boilers 

>250 mmBtu/hour 

(see note 7) 

State 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 

CT Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 Yes1 No No No

DE No No No No No No No No No Yes4 Yes4 Yes4 No No No

DC No No No No No No No No No No No No No No No

ME No No No No No No No No No No No No No No No

MD No No No No No No No No No Yes Yes Yes No No No

MA No No No No No No No No No No No No No No No

NH No No No Yes5 Yes5 Yes5 Yes Yes Yes Yes5 Yes5 Yes5 No No No

NJ Yes2 Yes2 Yes2 No Yes Yes No Yes Yes Yes Yes Yes No No No

NY Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No

PA No3 No3 No3 No3 No3 No3 No3 No3 No3 No6 No6 No6 No No No

RI No No No No No No No No No No No No No No No

VT No No No No No No No No No No No No No No No

Yes - Include emission reductions from control measure in modeling inventory 

No - Do not include emission reduction from control measure in modeling inventory 

N/A – No facilities of this type located in the state 

1) Connecticut is now pursuing adoption of model rule for boilers of all sizes at major and non-major sources 

2) New Jersey specified a 5 percent reduction in 2009, 10 percent in 2012, and 10 percent in 2018 

3) Pennsylvania specified no reductions since sources already covered by statewide NOx RACT regulation 

4) Delaware is developing regulation for ICI boilers greater than 200 mmBtu/hour – no plans for regulating 

smaller units 

5) New Hampshire specified a 40 percent reduction for 25-50 mmBtu/hour boilers, and a 10 percent reduction for 

natural gas-fired 100-250 mmBtu/hour boilers 

6) Pennsylvania specified no reductions since sources in the 5-county Philadelphia area are already covered by the 

Small Sources of NOx regulation and do not plan on expanding the regulation outside of the corridor at this 

time 

7) Resolution 06-02 specified the reduction for > 250mmBtu/hour boilers to be the “same as EGUs of similar 

size.” The OTC Commissioners have not yet recommended an emission rate or percent reduction for EGUs. 

As a result, no reductions for ICI boilers > 250 mmBtu/hour were included in the BOTW inventory. 

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Table 5.3 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – SO2 Emissions from NonEGU Point Sources 

 Commercial & 

Institutional 

Heating Oil 

ICI Boilers 

(low sulfur fuel) 

State 2009 2012 2018 2009 2012 2018 

CT No No Yes No No No 

DE No No No No No No 

DC No Yes Yes No No No 

ME No Yes Yes No No No 

MD No Yes Yes No No No 

MA No Yes Yes No No No 

NH No No Yes No No No 

NJ No Yes Yes No No No 

NY No Yes Yes No No No 

PA No Yes Yes No No No 

RI No Yes Yes No No No 

VT No No No No No No 

Yes - Include emission reductions from control measure in modeling inventory 

No - Do not include emission reduction from control measure in modeling inventory 

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Table 5.4 State Staff Recommendations for Control Measures to Include in BOTW 

Regional Modeling – VOC Emissions from NonEGU Point Sources 

 Adhesives and 

Sealants 

Application 

State 2009 2012 2018 

CT Yes Yes Yes 

DE Yes Yes Yes 

DC Yes Yes Yes 

ME Yes Yes Yes 

MD Yes Yes Yes 

MA Yes Yes Yes 

NH No Yes Yes 

NJ No1 No1 No1

NY Yes Yes Yes 

PA Yes Yes Yes 

RI Yes Yes Yes 

VT No No No 

Yes - Include emission reductions from control measure in modeling inventory 

No - Do not include emission reduction from control measure in modeling inventory 

1) New Jersey indicated that the reductions from the adhesives and sealants application 

control measure should only apply to area source - no reductions for point sources (SCC 4-

02-007-xx) were included. 

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5.1.1 Adhesives and Sealants Application 

The OTC 2006 model rule for adhesives and sealants is based on the reasonably available 

control technology (RACT) and best available retrofit control technology (BARCT) 

determination by the California Air Resources Board (CARB) developed in 1998. 

Adhesive and sealant emission sources are classified as both point sources and area 

sources. About 96 percent of adhesive and sealant VOC emissions in the OTC states fall 

into the area source category. The remaining four percent of the VOC emissions are 

included in the point source inventory. 

The emission reduction benefit estimation methodology is based on information developed 

and used by CARB for their RACT/BARCT determination in 1998. For point sources, we 

first identified those sources that were applying adhesives and sealants (using the source 

classification code of 4-02-007-xx, adhesives application). Next, we reviewed the 

MANEVU inventory to determine whether these sources had existing capture and control 

systems. Most of the sources did not have control information in the NIF database. 

However, several sources reported capture and destruction efficiencies in the 70 to 99 

percent range, with a few sources reporting capture and destruction efficiencies of 99+ 

percent. Sources with existing control systems that exceeded an 85 percent overall capture 

and destruction efficiency would comply with the OTC 2006 model rule provision for addon air pollution control equipment; therefore, no additional reductions were calculated for 

these sources. For point sources without add-on control equipment, we used the 64.4 

percent reduction based on the CARB determination. 

5.1.2 Asphalt Production Plants 

In Resolution 06-02, the OTC Commissioners recommended that OTC member states 

pursue as necessary and appropriate state-specific rulemakings or other implementation 

methods to establish emission reduction percentages, emission rates or technologies that 

would result in about a 35 percent reduction in NOx emissions. The reductions estimated 

for this category only include emissions included in the MANE-VU point source emission 

inventory. Only emissions from major point sources are typically included in the MANEVU point source database. Emissions from non-major sources are not explicitly contained 

in the area source inventory; rather, the emissions from non-major asphalt plants are likely 

lumped together in the general area source industrial and commercial fuel use category. 

Therefore, there is some uncertainty regarding the actual reductions that will occur as since 

minor sources are not specifically identified in the MANE-VU inventory. 

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5.1.3 Cement Kilns 

In Resolution 06-02, the OTC Commissioners recommended that OTC member states 

pursue as necessary and appropriate state-specific rulemakings or other implementation 

methods to establish emission reduction percentages, emission rates or technologies that 

would result in about a 60 percent reduction in NOx emissions from uncontrolled levels. 

Cement kilns were already included in Phase I of the NOx SIP call. Emission reductions 

resulting from the NOx SIP call were accounted for in the 2009 OTB inventory. For the 

cement kilns in Maryland and New York, a default control efficiency value of 25 percent 

was applied to account for the reductions expected from the NOx SIP call. For the cement 

kilns in Pennsylvania, the state provided their best estimates of the actual control 

efficiency expected for each kiln after the NOx SIP Call. There is a cement kiln in Maine, 

but it is not subject to the NOx SIP call. To calculate the additional reductions from the 

OTC 2006 Control Measure, MACTEC back calculated uncontrolled emissions from the 

2009 base year inventory based on the controls applied to account for the NOx SIP Call. 

Once the uncontrolled emissions were calculated, MACTEC applied the 60 percent 

emission reduction guideline recommended by the OTC Commissioners, except for the 

kilns in New York. Staff from New York indicated that a 40 percent emission reduction 

should be used for modeling purposes. 

5.1.4 Glass and Fiberglass Furnaces 

In Resolution 06-02, the OTC Commissioners recommended that OTC member states 

pursue as necessary and appropriate state-specific rulemakings or other implementation 

methods to establish emission reduction percentages, emission rates or technologies that 

would result in about an 85 percent reduction in NOx emissions from uncontrolled levels. 

The NOx emission reduction benefit was calculated by applying an 85 percent reduction to 

the projected 2009 base inventory, except in New Jersey and New York. New Jersey 

specified a 20 percent NOx reduction from glass furnaces in 2012 and a 35 percent 

reduction in 2018. New York specified a 70 percent NOx reduction from glass furnaces 

beginning in 2009. These estimates do not take into account existing controls at the 

facilities. The OTC states are currently working with the glass industry to obtain 

additional data to better identify the controls already in place. This will allow for a better 

calculation of the emission reduction benefits. 

5.1.5 Industrial, Commercial, and Institutional Boilers 

In Resolution 06-02, the OTC Commissioners recommended that OTC member states 

pursue as necessary and appropriate state-specific rulemakings or other implementation 

methods to establish emission reduction percentages, emission rates or technologies for ICI 

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boilers based on guidelines that varied by boiler size and fuel type. Specifically, the 

following guidelines were provided: 

 NOx Reduction from 2009 Base Emissions by Fuel Type 

Boiler Size 

(mmBtu/hour) Natural Gas #2 Fuel Oil #4/#6 Fuel Oil Coal 

< 25 10 10 10 10 

25 to 50 50 50 50 50* 

50 to 100 10 10 10 10* 

100 to 250 75 40 40 40* 

>250 **   **  

* Resolution 06-02 did not specify a percent reduction for coal; for modeling purposes, the same percent 

reduction specified for #4/#6 fuel oil was used for coal 

** Resolution 06-02 specified the reduction for > 250mmBtu/hour boilers to be the “same as EGUs of similar 

size.” The OTC Commissioners have not yet recommended an emission rate or percent reduction for 

EGUs. As a result, no reductions for ICI boilers > 250 mmBtu/hour were included in the BOTW inventory. 

Since the above guidelines vary by boiler size and fuel type, the specific percent reduction 

applied to an individual source depends on the SCC and design capacity of the source. The 

SCC identifies the fuel type, while the design capacity identifies the boiler size. In many 

cases, the design capacities in the MANE-VU NIF database were missing. MACTEC used 

the following hierarchy in filling in gaps where design capacities were missing. 

• Use the design capacity field from the NIF EU table, if available; 

• Use the design capacities provided by State/local agencies to fill in the data gaps 

(Allegheny County, District of Columbia, Maryland, New Jersey, Philadephia 

County); 

• Use design capacity as reported either the Unit Description field in the NIF EU 

table or the Process Description field from the NIF EP table, if available; 

• Use design capacity from the source’s Title V permit, if the Title V permit was online; 

• Use the SCC description to determine the design capacity (for example, SCC 1-02-

006-01 describes a >100 mmBtu/hr natural gas-fired boiler, SCC 1-02-006-02 

describes a 10-100 mmBtu/hr natural gas-fired boiler) 

After performing this gap-filling exercise, MACTEC was able to assign over 97 percent of 

the NOx emissions to a specific boiler size range. For the remaining sources where 

MACTEC could not determine the boiler size (which accounted for only 3 percent of the 

NOx emissions), MACTEC assumed that these boilers were < 25 mmBtu/hr. 

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5.1.6 Commercial and Institutional Heating Oil 

The BOTW control measure for heating oil is based on NESCAUM’s report entitled “Low 

Sulfur Heating Oil in the Northeast States: An Overview of Benefits, Costs and 

Implementation Issues.” NESCAUM estimates that reducing the sulfur content of heating 

oil from 2,500 ppm to 500 ppm lowers SO2 emissions by 75 percent, PM emissions by 80 

percent, NOx emissions by 10 percent. The 500 ppm sulfur heating oil is not expected to 

available on a widespread basis until 2012 at the earliest. These percent reductions were 

applied to commercial distillate oil category (SCC 1-03-005-xx). These percent reductions 

were applied based on the state’s recommendations in the matrix which identifies control 

measures to include and in which years the control measure should be accounted for in the 

modeling inventory. 

5.1.7 BOTW Area Source NIF, SMOKE, and Summary Files 

The Version 3.1 file names and descriptions delivered to MARAMA are shown in Table 5-

5. 

5.1.8 BOTW Area Source Emission Summaries 

Emission summaries by state, year, and pollutant are presented in Tables 5-6 through 5-12 

for CO, NH3, NOx, PM10-PRI, PM25-PRI, SO2, and VOC, respectively. 

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Table 5-5 BOTW NonEGU Point Source NIF, IDA, and Summary File Names 

File Name Date Description 

MANEVU_BOTW2009_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2009 BOTW 

nonEGU source NIF inventory 

MANEVU_BOTW2012_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2012 BOTW 

nonEGU source NIF inventory 

MANEVU_BOTW2018_NonEGU_NIFV3_1.mdb Dec. 4, 2006 Version 3.1 of 2018 BOTW 

nonEGU source NIF inventory 

MANEVU_BOTW2009_NonEGU_IDAV3_1.txt Nov. 22, 2006 Version 3.1 of 2009 BOTW 

nonEGU source inventory in 

SMOKE IDA format 

MANEVU_BOTW2012_NonEGU_IDAV3_1.txt Nov. 22, 2006 Version 3.1 of 2012 BOTW 

nonEGU source inventory in 

SMOKE IDA format 

MANEVU_BOTW2018_NonEGU_IDA3V_1.txt Nov. 22, 2006 Version 3.1 of 2018 BOTW 

nonEGU source inventory in 

SMOKE IDA format 

MANEVU OTB BOTW NonEGU V3_1 State 

Summary.xls 

Nov. 22, 2006 Spreadsheet with state totals by 

pollutant for all nonEGU 

sources 

MANEVU OTB BOTW NonEGU V3_1 State SCC 

Summary.xls 

Dec. 4, 2006 Spreadsheet with SCC totals by 

state and pollutant for all 

nonEGU sources. 

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Table 5-6 NonEGU Point Sources 

OTB/OTW and BOTW Annual CO Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 2,157 2,251 2,251 2,306 2,306 2,415 2,415

DE 8,812 9,037 9,037 8,748 8,748 8,651 8,651

DC 247 283 283 299 299 327 327

ME 9,043 10,147 10,147 10,467 10,467 11,433 11,433

MD 94,536 104,012 104,012 111,174 111,174 141,342 141,342

MA 10,793 12,027 12,027 12,552 12,552 13,426 13,426

NH 774 858 858 871 871 907 907

NJ 8,209 10,076 10,076 10,806 10,806 12,244 12,244

NY 53,259 61,411 61,411 65,541 65,541 78,876 78,876

PA 105,815 116,430 116,430 121,251 121,251 140,908 140,908

RI 1,712 1,764 1,764 1,821 1,821 1,927 1,927

VT 220 250 250 254 254 267 267

Total 295,577 328,546 328,546 346,090 346,090 412,723 412,723

0

25,000

50,000

75,000

100,000

125,000

150,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-7 NonEGU Point Sources 

OTB/OTW and BOTW Annual NH3 Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 0 0 0 0 0 0 0

DE 153 145 145 138 138 134 134

DC 4 5 5 5 5 5 5

ME 700 796 796 809 809 859 859

MD 305 347 347 366 366 410 410

MA 462 510 510 521 521 563 563

NH 37 46 46 50 50 60 60

NJ 0 0 0 0 0 0 0

NY 1,027 1,081 1,081 1,128 1,128 1,296 1,296

PA 1,170 1,307 1,307 1,363 1,363 1,591 1,591

RI 58 64 64 68 68 68 68

VT 0 0 0 0 0 0 0

Total 3,916 4,301 4,301 4,448 4,448 4,986 4,986

0

200

400

600

800

1,000

1,200

1,400

1,600

1,800

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-8 NonEGU Point Sources 

OTB/OTW and BOTW Annual NOx Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 6,773 7,236 6,820 7,465 7,047 7,921 7,501

DE 4,372 4,076 4,076 4,135 4,135 4,246 4,246

DC 480 548 548 577 577 627 627

ME 12,108 14,285 12,914 14,661 13,183 15,753 14,137

MD 21,940 19,401 16,015 20,399 16,819 22,797 18,888

MA 18,292 20,603 20,047 21,372 20,768 23,040 22,301

NH 1,188 1,384 1,120 1,394 1,131 1,435 1,169

NJ 15,812 16,498 16,463 17,091 15,901 18,805 17,464

NY 34,253 33,648 28,529 34,586 29,256 37,133 31,305

PA 89,136 89,932 76,215 93,526 72,779 103,137 79,186

RI 2,308 2,449 2,449 2,471 2,471 2,442 2,442

VT 386 462 462 460 460 466 466

Total 207,048 210,522 185,658 218,137 184,527 237,802 199,732

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-9 NonEGU Point Sources 

OTB/OTW and BOTW Annual PM10-PRI Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 990 1,035 1,035 1,058 1,058 1,106 1,104

DE 1,820 1,486 1,486 1,475 1,475 1,487 1,487

DC 157 178 178 186 182 198 194

ME 6,120 7,088 7,088 7,133 7,114 7,496 7,477

MD 4,739 4,797 4,797 5,040 5,039 5,828 5,827

MA 4,212 5,006 5,006 5,088 5,004 5,314 5,227

NH 918 1,084 1,084 1,097 1,097 1,129 1,129

NJ 3,439 4,205 4,205 4,417 4,412 4,959 4,953

NY 5,072 5,221 5,221 5,444 5,395 6,098 6,048

PA 23,282 25,169 25,169 26,307 26,258 29,516 29,466

RI 296 333 333 331 318 330 316

VT 235 267 267 272 272 296 296

Total 51,280 55,869 55,869 57,848 57,624 63,757 63,524

0

5,000

10,000

15,000

20,000

25,000

30,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-10 NonEGU Point Sources 

OTB/OTW and BOTW Annual PM25-PRI Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 822 871 871 894 894 939 937

DE 1,606 1,256 1,256 1,245 1,245 1,254 1,254

DC 128 145 145 152 149 164 161

ME 4,899 5,675 5,675 5,690 5,678 5,935 5,922

MD 2,772 2,861 2,861 3,011 3,010 3,503 3,501

MA 2,953 3,554 3,554 3,574 3,510 3,660 3,594

NH 857 1,008 1,008 1,021 1,021 1,052 1,052

NJ 2,947 3,588 3,588 3,764 3,760 4,234 4,230

NY 3,355 3,535 3,535 3,688 3,646 4,161 4,117

PA 12,360 13,578 13,578 14,159 14,114 15,878 15,831

RI 180 200 200 198 188 194 184

VT 198 226 226 229 229 246 246

Total 33,077 36,497 36,497 37,625 37,444 41,220 41,029

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-11 NonEGU Point Sources 

OTB/OTW and BOTW Annual SO2 Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 2,438 2,528 2,528 2,567 2,567 2,644 2,596

DE 35,706 7,117 7,117 7,401 7,401 7,610 7,610

DC 618 707 707 735 533 780 554

ME 14,412 18,656 18,656 18,492 18,393 18,794 18,692

MD 34,193 34,223 34,223 35,373 35,342 38,921 38,886

MA 14,766 18,185 18,185 18,442 17,305 18,955 17,778

NH 2,436 3,099 3,099 3,098 3,098 3,114 3,099

NJ 9,797 7,141 7,141 7,234 7,196 7,855 7,816

NY 58,227 62,922 62,922 64,484 64,432 67,545 67,491

PA 88,259 90,735 90,735 93,441 93,206 99,924 99,681

RI 2,651 3,163 3,163 3,182 3,018 3,164 3,000

VT 874 1,182 1,182 1,147 1,147 1,127 1,127

Total 264,377 249,658 249,658 255,596 253,638 270,433 268,330

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-12 NonEGU Point Sources 

OTB/OTW and BOTW Annual VOC Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 4,604 4,114 4,111 4,152 4,149 4,230 4,227

DE 4,645 2,987 2,981 2,311 2,305 1,993 1,987

DC 69 72 72 75 75 85 85

ME 4,477 4,740 4,740 4,985 4,985 5,709 5,708

MD 5,676 5,297 5,279 5,578 5,559 6,301 6,279

MA 7,794 8,381 8,273 9,061 8,940 10,564 10,418

NH 1,459 1,060 1,005 1,132 1,069 1,294 1,219

NJ 13,318 16,702 16,702 17,621 17,621 19,915 19,915

NY 9,933 10,157 10,141 10,750 10,732 12,354 12,333

PA 36,326 35,875 35,548 38,162 37,795 44,537 44,085

RI 1,898 1,640 1,628 1,695 1,683 1,812 1,799

VT 1,079 1,254 1,238 1,365 1,347 1,730 1,707

Total 91,278 92,279 91,718 96,887 96,260 110,524 109,762

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

50,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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5.2 AREA SOURCES 

This Section describes the analysis of the OTC and MANE-VU control measures to reduce 

emissions emissions from area sources. The control measures included in this analysis 

reduce emissions for the following pollutants and area source categories: 

• NOx measures: ICI boilers (natural gas, #2 fuel oil, #4/#6 fuel oil, and coal) and 

residential and commercial home heating oil; 

• Primary PM10 and PM2.5 measures: residential and commercial home heating oil; 

• SO2 measures: residential and commercial home heating oil, and ICI boilers 

(distillate oil). 

• VOC measures: adhesives and sealants, emulsified and cutback asphalt paving, 

consumer products, and portable fuel containers; 

For the MANE-VU modeling inventory, each state was asked to complete a matrix identify 

which control measures to include and in which years the control measure should be 

applied. Tables 5.13, 5.14, and 5.15 summarize the staff recommendations for control 

measures to include in the BOTW regional modeling inventory for NOx, SO2, and VOC 

respectively. The following subsections describe the emission reductions anticipated for 

each of the area source control measures. 

5.2.1 Adhesives and Sealants 

The OTC 2006 model rule for adhesives and sealants is based on the reasonably available 

control technology (RACT) and best available retrofit control technology (BARCT) 

determination by the California Air Resources Board (CARB) developed in 1998. 

Adhesive and sealant emission sources are classified as both point sources and area 

sources. About 96 percent of adhesive and sealant VOC emissions in the OTC states fall 

into the area source category. The remaining four percent of the VOC emissions are 

included in the point source inventory. 

The emission reduction benefit estimation methodology for area sources is based on 

information developed and used by CARB for their RACT/BARCT determination in 1998. 

CARB estimates that the total industrial adhesive and sealant emissions in California to be 

about 45 tons per day (tpd). Solvent-based adhesive and sealant emissions are estimated to 

be about 35 tpd of VOC and water-based adhesive and sealant emissions are about 10 tpd 

of VOC. 

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Table 5.13 State Staff Recommendations for Control Measuresto Include in BOTW 

Regional Modeling – NOx Area Sources 

 ICI Boilers 

< 25 mmBTU/hour 

ICI Boilers 

25-50 mmBtu/hour 

ICI Boilers 

50-100 mmBtu/hour 

Residential Home 

Heating Oil 

State 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 

CT Yes Yes Yes Yes Yes Yes Yes Yes Yes No No Yes 

DE No No No No No No No No No No No No 

DC No No No No No No No No No No Yes Yes 

ME No No No No No No No No No No Yes Yes 

MD No No No No No No No No No No Yes Yes 

MA No No No No No No No No No No Yes Yes 

NH No No No No No No No No No No No Yes 

NJ No Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes 

NY Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes 

PA No No No No No No No No No No Yes Yes 

RI No No No No No No No No No No Yes Yes 

VT1 No No No No No No No No No No No No 

Yes - Include emission reductions from OTC 2006 control measure in modeling inventory 

No - Do not include emission reduction from OTC 2006 control measure in modeling inventory 

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Table 5.14 State Staff Recommendations for Control Measures 

to Include in BOTW Regional Modeling – SO2 Area Sources 

 ICI Boilers 

< 25 mmBTU/hour 

ICI Boilers 

25-50 mmBtu/hour 

ICI Boilers 

50-100 mmBtu/hour 

Residential Home 

Heating Oil 

State 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 

CT No No No No No No No No No No No Yes 

DE No No No No No No No No No No No No 

DC No No No No No No No No No No Yes Yes 

ME No No No No No No No No No No Yes Yes 

MD No No No No No No No No No No Yes Yes 

MA No No No No No No No No No No Yes Yes 

NH No No No No No No No No No No No Yes 

NJ No No No No No No No No No No Yes Yes 

NY No No No No No No No No No No Yes Yes 

PA No No No No No No No No No No Yes Yes 

RI No No No No No No No No No No Yes Yes 

VT1 No No No No No No No No No No No No 

Yes - Include emission reductions from OTC 2006 control measure in modeling inventory 

No - Do not include emission reduction from OTC 2006 control measure in modeling inventory 

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Table 5.15 State Staff Recommendations for Control Measures 

to Include in BOTW Regional Modeling – VOC Area Sources 

Adhesives and 

Sealants 

Emulsified and 

Cutback Asphalt 

Paving 

Consumer Products Portable Fuel 

Containers 

State 2009 2012 2018 2009 2012 2018 2009 2012 2018 2009 2012 2018 

CT Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

DE Yes Yes Yes No2 No2 No2 Yes Yes Yes Yes Yes Yes 

DC Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

ME Yes Yes Yes No3 No3 No3 Yes Yes Yes Yes Yes Yes 

MD Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

MA Yes Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes 

NH No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

NJ Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

NY Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

PA Yes Yes Yes No Yes Yes Yes Yes Yes Yes Yes Yes 

RI Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 

VT1 No No No No No No No No No No No No 

Yes - Include emission reductions from OTC 2006 control measure in modeling inventory 

No - Do not include emission reduction from OTC 2006 control measure in modeling inventory 

1) Vermont indicated that the modeling inventory should not reflect anything beyond the 2002 

OTC control level for these source categories in Vermont. 

2) Delaware’s existing asphalt paving regulations are more stringent than the OTC 2006 

control measure. 

3) Maine has not yet determined whether to include emission reductions from the OTC 2006 

control measure for asphalt paving. Maine’s inventory includes emissions only from 

cutback asphalt; no emissions are reported for emulsified asphalt. 

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CARB estimated that emission reductions achieved by statewide compliance with the VOC 

limits in the RACT/BARCT determination will range from approximately 29 to 35 tpd 

(CARB 1998, pg. 18). These emission reductions correspond to a 64.4 to 77.8 percent 

reduction from uncontrolled levels. For OTC modeling purposes, we used the lower end 

of this range (i.e., 64.4 percent reduction) to estimate the emission benefit for area sources 

due to the OTC 2006 model rule. 

5.2.2 Asphalt Paving 

The OTC 2006 model rule for asphalt paving calls for a complete ban on the use of 

cutback asphalt during the ozone season and limits the VOC content of emulsified asphalt 

to two percent (or a 20 percent reduction in emissions from emulsified asphalt depending 

on the grade of emulsified asphalt used). 

The current regulations in all MANE-VU states generally ban the use of cutback asphalt 

during the ozone season. In some states, there are a few few exemptions from the ban that 

allow for the use of cutback during the ozone season. It has not yet been determined 

whether states will modify their cutback asphalt rules to eliminate the exemptions. Since 

the VOC emissions from the use of cutback asphalt during the ozone season are generally 

very small, MACTEC assumed that there will be no additional emission reductions from 

the use of cutback asphalt during the ozone season. 

The emission reductions resulting from the two percent VOC content limit on emulsified 

asphalt depend on the baseline VOC content of emulsified asphalt. The baseline VOC 

content may range from 0 to 12 percent. New Jersey used a VOC content of 8 percent in 

their baseline emission calculations (based on the 8 percent limit in their current rule). 

Reducing the VOC content to 2 percent in New Jersey will result in a 75 percent reduction. 

Delaware already bans the use of emulsified asphalt that contains any VOC, so there is no 

reduction in Delaware. Several other states used an average VOC content of 2.5 percent 

when developing their emission inventory. Thus, reducing the average VOC content from 

2.5 percent to 2.0 percent results in a 20 percent reduction in VOC emissions. For States 

that did not supply a baseline VOC content for asphalt paving, we used the 20 percent 20 

percent reduction in VOC emissions from emulsified asphalt paving during the ozone 

season. 

5.2.3 Consumer Products 

The OTC 2006 model rule will modify the OTC 2001 model rule based on amendments 

adopted by CARB in July 2005. The emission reduction benefit estimation methodology 

is based on information developed by CARB. CARB estimates 6.05 tons per day of VOC 

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reduced from their July 2005 amendments (CARB 2004, pg. 8), excluding the benefits 

from the two products (anti-static products and shaving gels) with compliance dates in 

2008 or 2009. This equates to about 2,208 tons per year. The population of California as 

of July 1, 2005 is 36,132,147 (Census 2006). On a per capita basis, the emission reduction 

from the CARB July 2005 amendments equals 0.122 lbs/capita. 

Since the OTC’s 2006 control measure is very similar to the CARB July 2005 amendments 

(with the exclusion of the anti-static products and shaving gel 2008/2009 limits), the per 

capita emission reductions are expected to be the same in the OTR. The per capita factor 

after the implementation of the OTC 2001 model rule is 6.06 lbs/capita (Pechan 2001, pg. 

8). The percentage reduction from the OTC’s 2006 control measure was computed as 

shown below: 

Current OTC Emission Factor = 6.06 lbs/capita 

Benefit from CARB 2005 amendments = 0.122 lbs/capita 

Percent Reduction = 

= 

100%*(1 - (6.06 – 0.122)/6.06) 

2.0% 

The 2.0% reduction will be applied to all states except Vermont, which indicated that they 

do not want the modeling inventory to reflect anything beyond the 2002 OTC control level 

for consumer products in Vermont. 

5.2.4 Portable Fuel Containers 

The OTC 2006 model rule will modify the OTC 2001 model rule based on amendments 

adopted by CARB in 2006. Estimated emission reductions were based on information 

compiled by CARB to support their recent amendments. CARB estimated that PFC 

emissions in 2015 will be 31.9 tpd in California with no additional controls or amendments 

to the 2000 PFC rules. CARB further estimates that the 2006 amendment will reduce 

emission from PFCs by 18.4 tpd in 2015 in California compared to the 2000 PFC 

regulations. Thus, at full implementation, the expected incremental reduction is 

approximately 58 percent, after an estimated 65 percent reduction from the original 2000 

rule. 

The OTC calculations assume that States will adopt the rule by July 2007 and will provide 

manufacturers one year from the date of the rule to comply. Thus, new compliant PFCs 

will not be on the market until July 2008. Assuming a 10-year turnover to compliant cans, 

only 10 percent of the existing inventory of PFCs will comply with the new requirements 

in the summer of 2009. Therefore, only 10 percent of the full emission benefit estimated 

by CARB will occur by 2009 – the incremental reduction will be about 5.8 percent in 

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2009. In 2012, there will be a 40 percent turnover to compliant cans, resulting in an 

incremental reductions of about 23.2 percent. By 2018, the will be 100 percent penetration 

to compliant PFCs, resulting in an incremental reduction of 58 percent in 2018. 

5.2.5 Industrial/Commercial/Institutional Boilers 

In Resolution 06-02, the OTC Commissioners recommended that OTC member states 

pursue as necessary and appropriate state-specific rulemakings or other implementation 

methods to establish emission reduction percentages, emission rates or technologies for ICI 

boilers based on guidelines that varied by boiler size and fuel type. Specifically, the 

following guidelines were provided: 

 NOx Reduction from 2009 Base Emissions by Fuel Type 

Boiler Size 

(mmBtu/hour) Natural Gas #2 Fuel Oil #4/#6 Fuel Oil Coal 

< 25 10 10 10 10 

25 to 50 50 50 50 50* 

50 to 100 10 10 10 10* 

100 to 250 75 40 40 40* 

>250 **   **  

* Resolution 06-02 did not specify a percent reduction for coal; for modeling purposes, the same percent 

reduction specified for #4/#6 fuel oil was used for coal 

** Resolution 06-02 specified the reduction for > 250mmBtu/hour boilers to be the “same as EGUs of similar 

size.” The OTC Commissioners have not yet recommended an emission rate or percent reduction for 

EGUs. As a result, no reductions for ICI boilers > 250 mmBtu/hour were included in the BOTW inventory. 

Since the above guidelines vary by boiler size and fuel type, the specific percent reduction 

applied to an area source category depends on the SCC and design capacity of the source. 

The SCC identifies the fuel type (for example, SCC 21-02-004-xxx describes distillate oilfired industrial boilers, SCC 21-02-006-xxx describes natural gas-fired industrial boilers). 

The area source inventory does not contain any information on the sizes of the units 

included in the inventories. To apportion area source emissions to the boiler size ranges 

listed above, MACTEC used data from the Characterization of the U.S. 

Industrial/Commercial Boiler Population (May 2005, Oak Ridge National Laboratory). 

We used the national estimates of boiler capacity by size from Table ES-1 of the Oak 

Ridge report to calculate the percentage of total boiler capacity in each size range. Since 

the Oak Ridge report distinguished between industrial boilers and commercial/institutional 

boilers, we developed separate profiles for industrial boilers and for 

commercial/institutional boilers. We used these boiler size profiles to calculate weighted 

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average percent reductions industrial boilers by fuel type and commercial/institutional 

boilers by fuel type. 

5.2.6 Residential and Commercial Heating Oil 

The BOTW control measure for heating oil is based on NESCAUM’s report entitled “Low 

Sulfur Heating Oil in the Northeast States: An Overview of Benefits, Costs and 

Implementation Issues.” NESCAUM estimates that reducing the sulfur content of heating 

oil from 2,500 ppm to 500 ppm lowers SO2 emissions by 75 percent, PM emissions by 80 

percent, NOx emissions by 10 percent. The 500 ppm sulfur heating oil is not expected to 

available on a widespread basis until 2012 at the earliest. These percent reductions were 

applied to residential distillate oil category (SCC 21-04-004-xxx) and commercial distillate 

oil category (SCC 21-03-004-xxx). These percent reductions were applied based on the 

state’s recommendations in the matrix which identifies control measures to include and in 

which years the control measure should be accounted for in the modeling inventory. 

5.2.7 BOTW Area Source NIF, SMOKE, and Summary Files 

The Version 3 file names and descriptions delivered to MARAMA are shown in Table 5-

16. 

5.2.8 BOTW Area Source Emission Summaries 

Emission summaries by state, year, and pollutant are presented in Tables 5-17 through 5-

23 for CO, NH3, NOx, PM10-PRI, PM25-PRI, SO2, and VOC, respectively. 

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Table 5-16 BOTW Area Source NIF, IDA, and Summary File Names 

File Name Date Description 

MANEVU_BOTW2009_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2009 BOTW 

area source NIF inventory 

MANEVU_BOTW2012_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2012 BOTW 

area source NIF inventory 

MANEVU_BOTW2018_Area_NIFV3_2.mdb Nov. 9, 2006 Version 3.2 of 2018 BOTW 

area source NIF inventory 

MANEVU_BOTW2009_Area_IDAV3_2.txt Nov. 20, 2006 Version 3.2 of 2009 BOTW 

area source inventory in 

SMOKE IDA format 

MANEVU_BOTW2012_Area_IDAV3_2.txt Nov. 20, 2006 Version 3.2 of 2012 BOTW 

area source inventory in 

SMOKE IDA format 

MANEVU_BOTW2018_Area_IDA3V_2.txt Nov. 20, 2006 Version 3.2 of 2018 BOTW 

area source inventory in 

SMOKE IDA format 

MANEVU OTB BOTW Area V3_2 State Summary.xls Nov. 8, 2006 Spreadsheet with state totals by 

pollutant for all area sources 

MANEVU OTB BOTW Area V3_2 State SCC 

Summary.xls 

Nov. 8, 2006 Spreadsheet with SCC totals by 

state and pollutant for all area 

sources. 

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Table 5-17 Area Sources 

OTB/OTW and BOTW Annual CO Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 70,198 65,865 65,865 63,874 63,874 59,797 59,797

DE 14,052 15,395 15,395 15,233 15,233 14,864 14,864

DC 2,300 2,417 2,417 2,460 2,460 2,512 2,512

ME 109,223 102,743 102,743 99,877 99,877 94,181 94,181

MD 141,178 143,653 143,653 144,233 144,233 144,649 144,649

MA 137,496 132,797 132,797 130,255 130,255 125,205 125,205

NH 79,647 76,504 76,504 75,319 75,319 73,038 73,038

NJ 97,657 90,432 90,432 88,048 88,048 83,119 83,119

NY 356,254 336,576 336,576 327,118 327,118 307,659 307,659

PA 266,935 266,887 266,887 264,012 264,012 257,396 257,396

RI 8,007 8,007 8,007 8,026 8,026 8,024 8,024

VT 43,849 42,683 42,683 42,172 42,172 41,283 41,283

Total 1,326,796 1,283,959 1,283,959 1,260,627 1,260,627 1,211,727 1,211,727

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-18 Area Sources 

OTB/OTW and BOTW Annual NH3 Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 5,318 5,208 5,208 5,156 5,156 5,061 5,061

DE 13,279 13,316 13,316 13,328 13,328 13,342 13,342

DC 14 16 16 16 16 17 17

ME 8,747 10,453 10,453 11,116 11,116 12,312 12,312

MD 25,834 31,879 31,879 34,222 34,222 38,155 38,155

MA 18,809 19,131 19,131 19,275 19,275 19,552 19,552

NH 2,158 2,466 2,466 2,584 2,584 2,789 2,789

NJ 17,572 19,457 19,457 20,154 20,154 21,435 21,435

NY 67,422 81,626 81,626 87,116 87,116 96,078 96,078

PA 79,911 98,281 98,281 105,418 105,418 117,400 117,400

RI 883 945 945 972 972 1,025 1,025

VT 9,848 12,156 12,156 13,062 13,062 14,580 14,580

Total 249,795 294,934 294,934 312,419 312,419 341,746 341,746

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-19 Area Sources 

OTB/OTW and BOTW Annual NOx Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 12,689 13,173 12,245 13,342 12,389 13,388 11,795

DE 2,608 2,821 2,821 2,913 2,913 3,014 3,014

DC 1,644 1,961 1,961 2,081 2,052 2,259 2,229

ME 7,360 7,477 7,477 7,486 7,095 7,424 7,036

MD 15,678 16,858 16,858 17,315 17,007 18,073 17,746

MA 34,281 35,732 35,732 36,331 35,321 37,187 36,199

NH 10,960 11,879 11,879 12,055 12,055 12,430 12,180

NJ 26,692 24,032 24,032 23,981 21,976 23,660 21,684

NY 98,803 106,375 95,190 107,673 92,935 108,444 93,639

PA 47,591 50,162 50,162 50,793 49,773 50,829 49,829

RI 3,886 4,149 4,149 4,260 4,112 4,397 4,249

VT 3,208 3,419 3,419 3,429 3,429 3,430 3,430

Total 265,400 278,038 265,925 281,659 261,057 284,535 263,030

0

20,000

40,000

60,000

80,000

100,000

120,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-20 Area Sources 

OTB/OTW and BOTW Annual PM10-PRI Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 48,281 48,970 48,970 49,004 49,004 49,479 48,734

DE 13,039 13,928 13,928 14,236 14,236 14,844 14,844

DC 3,269 3,511 3,511 3,605 3,547 3,825 3,762

ME 168,953 175,979 175,979 179,689 179,004 189,619 188,928

MD 95,060 105,944 105,944 110,141 109,829 117,396 117,066

MA 192,860 198,668 198,668 200,692 200,215 204,922 204,456

NH 43,328 46,060 46,060 47,187 47,187 49,801 49,544

NJ 61,601 61,684 61,684 61,284 60,916 60,880 60,519

NY 369,595 382,124 382,124 385,925 383,234 392,027 389,385

PA 391,897 421,235 421,235 432,844 431,787 454,970 453,934

RI 8,295 8,962 8,962 9,244 8,976 9,797 9,514

VT 56,131 60,521 60,521 62,465 62,465 66,916 66,916

Total 1,452,309 1,527,586 1,527,586 1,556,316 1,550,400 1,614,476 1,607,602

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-21 Area Sources 

OTB/OTW and BOTW Annual PM25-PRI Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 14,247 13,766 13,766 13,517 13,517 13,033 12,366

DE 3,204 3,387 3,387 3,403 3,403 3,426 3,426

DC 805 860 860 879 827 917 860

ME 32,774 33,026 33,026 33,189 32,576 33,820 33,201

MD 27,318 28,923 28,923 29,508 29,228 30,449 30,153

MA 42,083 43,121 43,121 43,186 42,820 43,438 43,080

NH 17,532 17,965 17,965 18,050 18,050 18,316 18,087

NJ 19,350 18,590 18,590 18,271 17,924 17,653 17,313

NY 87,154 87,576 87,576 87,260 85,011 86,422 84,211

PA 74,925 79,169 79,169 80,728 79,775 83,570 82,637

RI 2,064 2,184 2,184 2,232 1,996 2,316 2,068

VT 11,065 11,482 11,482 11,652 11,652 12,059 12,059

Total 332,521 340,049 340,049 341,875 336,779 345,419 339,461

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-22 Area Sources 

OTB/OTW and BOTW Annual SO2 Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 12,418 12,581 12,581 12,604 12,604 12,184 3,398

DE 1,588 1,599 1,599 1,602 1,602 1,545 1,545

DC 1,337 1,487 1,487 1,541 499 1,632 522

ME 13,149 13,776 13,776 13,846 4,897 13,901 4,940

MD 12,393 13,685 13,685 14,074 8,762 14,741 9,118

MA 25,488 25,961 25,961 26,029 8,414 25,570 8,357

NH 7,072 7,463 7,463 7,470 7,470 7,421 3,118

NJ 10,744 10,672 10,672 10,697 4,435 10,510 4,374

NY 130,409 139,589 139,589 140,154 98,160 141,408 100,452

PA 63,679 67,535 67,535 67,446 49,212 66,363 48,475

RI 4,557 5,024 5,024 5,189 1,316 5,398 1,368

VT 4,087 4,646 4,646 4,687 4,687 4,764 4,764

Total 286,921 304,018 304,018 305,339 202,058 305,437 190,431

0

25,000

50,000

75,000

100,000

125,000

150,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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Table 5-23 Area Sources 

OTB/OTW and BOTW Annual VOC Emission Projections 

(tons per year) 

2002 

2009 

OTB/W 

2009 

BOTW 

2012 

OTB/W 

2012 

BOTW 

2018 

OTB/W 

2018 

BOTW 

CT 87,302 75,693 73,738 73,560 71,249 71,274 68,395

DE 15,519 14,245 13,794 13,943 13,408 13,744 13,066

DC 6,432 5,420 5,300 5,352 5,144 5,255 4,991

ME 100,621 91,910 90,869 91,667 90,457 92,410 90,866

MD 120,254 110,385 107,527 108,067 104,400 110,046 104,615

MA 162,145 148,625 145,059 145,674 140,848 140,558 134,963

NH 65,370 63,069 61,860 63,356 61,913 64,368 62,649

NJ 167,882 147,617 143,089 143,752 138,646 139,626 134,089

NY 507,292 462,811 451,669 456,856 443,940 457,421 440,892

PA 240,785 228,444 219,733 230,393 219,897 243,421 230,011

RI 31,402 26,695 26,572 25,548 25,315 23,561 23,305

VT 23,265 24,068 24,068 24,635 24,634 26,198 26,197

Total 1,528,269 1,398,982 1,363,278 1,382,803 1,339,851 1,387,882 1,334,039

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

550,000

CT DE DC ME MD MA NH NJ NY PA RI VT

Emissions (tpy)

2002

2009 OTB/W

2009 BOTW

2012 OTB/W

2012 BOTW

2018 OTB/W

2018 BOTW

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5.3 Nonroad Mobile Sources 

In the June 2007 MOU, the OTC Commissioners recommended that states pursue statespecific rulemakings for one nonroad source categories – portable fuel containers. The 

OTC 2006 control measure for portable fuel containers will result in addition VOC 

emission reduction from the refueling of nonroad equipment. However, these reductions 

could not be estimated due to resource and time constraints. 

5.4 Electric Generating Units 

In the June 2008 Statement on EGUs, the OTC Commissioners directed OTC staff to 

complete an evaluation and recommendations for a program beyond CAIR that includes 

strategies to address the base, intermediate and peak locad emissions. No specific 

emission reduction targets were identified. States specified that no additional reductions 

from EGUs be included in the BOTW inventory. 

5.5 Onroad Mobile Sources 

In Resolution 06-02, the OTC Commissioners recommended that the OTC member states 

pursue a region fuel program consistent with the Energy Act of 2005. No specific 

emission reduction targets were identified. States specified that no additional reductions 

from onroad mobile sources be included in the BOTW inventory. 

In the June 2007 MOU, the OTC Commissioners recommended that states pursue statespecific rulemakings to implement a mandatory diesel engine chip reflash program. It is 

our understanding that the emission reductions from the diesel engine chip reflash program 

are already accounted for in MANE-VU’s OTB emission inventory. 

Appendix G Att. 13b - Page Number

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Appendix A – Non EGU Point Source Growth Factors Page A-1 

MACTEC Federal Programs, Inc. 

Appendix A – NonEGU Point Source Growth Factors 

Table A-1 Connecticut Growth Factors by SIC Code 

SIC GF_02_09 GF_02_12 GF_02_18 CTDOL_CAT 

0181 1.0019 1.0027 1.0042 Agricultural, Crop Production 

1422 0.9400 0.9143 0.8629 Mining 

1429 0.9400 0.9143 0.8629 Mining 

2051 0.9355 0.9079 0.8526 Manufacturing, Food 

2096 0.9355 0.9079 0.8526 Manufacturing, Food 

2261 0.9254 0.8934 0.8295 Manufacturing, Textile Product Mills 

2262 0.9254 0.8934 0.8295 Manufacturing, Textile Product Mills 

2284 0.9254 0.8934 0.8295 Manufacturing, Textile Product Mills 

2298 0.9254 0.8934 0.8295 Manufacturing, Textile Product Mills 

2434 1.0679 1.0969 1.1551 Manufacturing, Wood Products 

2522 1.0435 1.0621 1.0994 Manufacturing, Furniture & Related 

2541 1.0679 1.0969 1.1551 Manufacturing, Wood Products 

2621 0.8706 0.8152 0.7043 Manufacturing, Paper 

2631 0.8706 0.8152 0.7043 Manufacturing, Paper 

2652 0.8706 0.8152 0.7043 Manufacturing, Paper 

2653 0.8706 0.8152 0.7043 Manufacturing, Paper 

2672 0.8706 0.8152 0.7043 Manufacturing, Paper 

2673 0.8706 0.8152 0.7043 Manufacturing, Paper 

2711 0.8386 0.7695 0.6312 Manufacturing, Printing & Related Activ 

2752 0.8386 0.7695 0.6312 Manufacturing, Printing & Related Activ 

2754 0.8386 0.7695 0.6312 Manufacturing, Printing & Related Activ 

2759 0.8386 0.7695 0.6312 Manufacturing, Printing & Related Activ 

2821 1.1024 1.1464 1.2342 Manufacturing, Chemical 

2833 1.1024 1.1464 1.2342 Manufacturing, Chemical 

2869 1.1024 1.1464 1.2342 Manufacturing, Chemical 

2875 1.1024 1.1464 1.2342 Manufacturing, Chemical 

3052 0.9591 0.9416 0.9066 Manufacturing, Plastic & Rubber Product 

3069 0.9591 0.9416 0.9066 Manufacturing, Plastic & Rubber Product 

3081 0.9591 0.9416 0.9066 Manufacturing, Plastic & Rubber Product 

3086 0.9591 0.9416 0.9066 Manufacturing, Plastic & Rubber Product 

3087 0.9591 0.9416 0.9066 Manufacturing, Plastic & Rubber Product 

3272 0.9841 0.9772 0.9636 Manufacturing, Miscellaneous 

3312 0.8713 0.8162 0.7059 Manufacturing, Primary Metal 

3351 0.8713 0.8162 0.7059 Manufacturing, Primary Metal 

3357 0.8713 0.8162 0.7059 Manufacturing, Primary Metal 

3423 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3429 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3444 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3469 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3471 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3479 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3497 0.9150 0.8786 0.8057 Manufacturing, Fabricated Metal 

3562 0.8778 0.8254 0.7206 Manufacturing, Machinery 

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SIC GF_02_09 GF_02_12 GF_02_18 CTDOL_CAT 

3569 0.8778 0.8254 0.7206 Manufacturing, Machinery 

3579 0.8452 0.7788 0.6461 Manufacturing, Computer & Electronic Eq 

3634 0.9149 0.8784 0.8054 Manufacturing, Electrical Equipment, Ap 

3675 0.9149 0.8784 0.8054 Manufacturing, Electrical Equipment, Ap 

3714 0.9705 0.9578 0.9326 Manufacturing, Transportation Equipment 

3721 0.9705 0.9578 0.9326 Manufacturing, Transportation Equipment 

3724 0.9705 0.9578 0.9326 Manufacturing, Transportation Equipment 

3728 0.9705 0.9578 0.9326 Manufacturing, Transportation Equipment 

3731 0.9705 0.9578 0.9326 Manufacturing, Transportation Equipment 

3827 0.9841 0.9772 0.9636 Manufacturing, Miscellaneous 

3949 0.9841 0.9772 0.9636 Manufacturing, Miscellaneous 

3951 0.9841 0.9772 0.9636 Manufacturing, Miscellaneous 

4226 1.0921 1.1316 1.2106 Transportation & Warehousing, Warehousi 

4911 0.9550 0.9358 0.8972 Utilities 

4922 0.9550 0.9358 0.8972 Utilities 

4924 0.9550 0.9358 0.8972 Utilities 

4931 1.1439 1.2056 1.3290 Waste Management & Remediation Services 

4952 1.1439 1.2056 1.3290 Waste Management & Remediation Services 

4953 1.1439 1.2056 1.3290 Waste Management & Remediation Services 

4961 0.9550 0.9358 0.8972 Utilities 

5171 1.0605 1.0864 1.1382 Wholesale Trade, Nondurable Goods 

6036 1.0569 1.0814 1.1302 Finance & Insurance 

6512 1.0197 1.0282 1.0451 Real Estate & Rental & Leasing 

6513 1.0197 1.0282 1.0451 Real Estate & Rental & Leasing 

7389 1.0569 1.0814 1.1302 Finance & Insurance 

8051 1.0824 1.1177 1.1883 Health Care & Social Assistance, Nursin 

8062 1.0583 1.0833 1.1334 Health Care & Social Assistance, Hospit 

8063 1.0583 1.0833 1.1334 Health Care & Social Assistance, Hospit 

8211 1.0642 1.0918 1.1468 Educational Services 

8221 1.0642 1.0918 1.1468 Educational Services 

8631 1.0642 1.0918 1.1468 Educational Services 

8734 1.1189 1.1699 1.2718 Professional, Scientific, and Technical 

9223 1.0185 1.0264 1.0423 Government 

9511 1.0185 1.0264 1.0423 Government 

9621 1.0185 1.0264 1.0423 Government 

9711 1.0185 1.0264 1.0423 Government 

3900 0.9841 0.9772 0.9636 Manufacturing, Miscellaneous 

5093 1.0527 1.0754 1.1206 Wholesale Trade, Durable Goods 

4200 0.9871 0.9815 0.9705 Transportation & Warehousing, Truck Tra 

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Appendix A – Non EGU Point Source Growth Factors Page A-3 

MACTEC Federal Programs, Inc. 

Table A-2 Non-EGU Point Source Growth Factors by SCC Code 

See Electronic File: MANE-VU_NonEGU_gf_scc.xls 

This table contains 12,791 records with NonEGU point source growth factors by county and SCC. 

The format for the tables is as follows: 

Column A – County FIPS code 

Column B – Source Classification Code (SCC) 

Column C – EGAS_02_09 this is the EGAS 5.0 factor for projecting from 2002 to 2009 

Column D – AEO5_02_09 this is the DOE AEO 2005 factor for projecting from 2002 to 2009 

Column E – ST_02_09 this is the state-supplied factor for projecting from 2002 to 2009 

Column F – GF_02_09 this is the final factor actually used for projecting from 2002 to 2009 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column G – EGAS_02_12 this is the EGAS 5.0 factor for projecting from 2002 to 2012 

Column H – AEO5_02_12 this is the DOE AEO 2005 factor for projecting from 2002 to 2012 

Column I – ST_02_12 this is the state-supplied factor for projecting from 2002 to 2012 

Column J – GF_02_09 this is the final factor actually used for projecting from 2002 to 2012 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column K – EGAS_02_18 this is the EGAS 5.0 factor for projecting from 2002 to 2018 

Column J – AEO5_02_18 this is the DOE AEO 2005 factor for projecting from 2002 to 2018 

Column M– ST_02_18 this is the state-supplied factor for projecting from 2002 to 2018 

Column N – GF_02_09 this is the final factor actually used for projecting from 2002 to 2012 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column O – SCC description 

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Appendix B – Non EGU Point Source Control Factors Page B-1 

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Appendix B – NonEGU Point Source Control Factors 

Table B-1 NonEGU Emission Units Affected by the NOx SIP Call Phase I 

FIPS SITE ID Facility Name EU ID 

Ozone 

Season 

Allowance 

(tpy) 

Prorated 

Annual 

Emissions 

(tpy) 

Unit 

Description 

09003 1509 PRATT & WHITNEY DIV UTC P0049 11 26 FT-8 COGENERATION GAS 

TURBINE 

09011 0604 PFIZER INC P0001 33 79 BLR B&W FM140-97 #8 

09011 0604 PFIZER INC R0012 31 74 BLR CE #5 (101-4) 

09011 3102 SPRAGUE PAPERBOARD INC R0003 75 180 BLR B&W PFI-22-0 #1 

24001 001-0011 WESTVACO FINE PAPERS 1 500 1200 001-0011-3-0018 

24001 001-0011 WESTVACO FINE PAPERS 2 440 1056 001-0011-3-0019 

25009 1190138 GENERAL ELECTRIC AIRCRAFT 03 29 68 BOILER #3-

BABCOCK+WILCOX PPL-2897 

DUAL FUEL EV99-3 

25009 1190138 GENERAL ELECTRIC AIRCRAFT 05 24 58 TURBINE #1-GE G5301 DUAL 

FUEL BLDG 99-8 

25017 1191844 MIT 02 132 317 TURBINE #1-ABB GT10 

DUEL FUEL(EXHAUST TO 

HRSG) 

25025 1190507 TRIGEN BOSTON ENERGY 01 47 113 BOILER #1-

BABCOCK+WILCOX 

HSB8477A DUAL FUEL 

25025 1190507 TRIGEN BOSTON ENERGY 02 47 113 BOILER #2-

BABCOCK+WILCOX 

JSB8477B DUAL FUEL 

25025 1190507 TRIGEN BOSTON ENERGY 03 47 113 BOILER #3-

FOSTER+WHEELER SC DUAL 

FUEL 

25025 1190507 TRIGEN BOSTON ENERGY 04 47 113 BOILER #4-

BABCOCK+WILCOX 

HSB8608A DUAL FUEL 

36031 5154800008 INTERNATIONAL PAPER 

TICONDEROG 

POWERH 227 545 EMISSION UNIT 

36055 8261400205 KODAK PARK DIVISION U00015 1721 4130 EMISSION UNIT 

36091 5412600007 INTERNATIONAL PAPER 

HUDSON RIV 

UBOILR 124 298 EMISSION UNIT 

42003 4200300022 SHENANGO INC. 005 13 31 BOILER #9, NATURAL GAS 

42017 420170306 EXELON GENERATION 

CO/FAIRLESS 

043 2 5 POWER HOUSE BOILER NO. 3 

 

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Appendix B – Non EGU Point Source Control Factors Page B-2 

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FIPS SITE ID Facility Name EU ID 

Ozone 

Season 

Allowance 

(tpy) 

Prorated 

Annual 

Emissions 

(tpy) 

Unit 

Description 

42017 420170306 EXELON GENERATION 

CO/FAIRLESS 

044 73 175 POWER HOUSE BOILER NO. 4 

42017 420170306 EXELON GENERATION 

CO/FAIRLESS 

045 61 146 POWER HOUSE BOILER NO. 5 

42045 420450016 KIMBERLY CLARK PA 

LLC/CHESTER 

034 2 5 

42045 420450220 FPL ENERGY MH50 LP/MARCUS 

HOOK 

031 82 197 COGENERATION UNIT - ABB 

TYPE B 

42047 420470005 WEYERHAEUSER/JOHNSONBURG 

MILL 

040 85 204 BOILER #81 

42047 420470005 WEYERHAEUSER/JOHNSONBURG 

MILL 

041 86 206 BOILER #82 

42091 420910028 MERCK & CO/WEST POINT 039 101 242 COGEN II GAS TURBINE 

42101 4210101551 SUNOCO CHEMICALS (FORMER 

ALLIE 

052 86 206 BL-703: BOILER #3 

42131 421310009 PROCTER & GAMBLE PAPER 

PROD CO 

035 203 482 WESTINGHOUSE 251B12 

42133 421330016 PH GLATFELTER CO/SPRING 

GROVE 

034 146 350 #4 POWER BOILER 

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Appendix B – Non EGU Point Source Control Factors Page B-3 

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Table B-2 Cement Kilns Affected by the NOx SIP Call Phase I 

FIPS SITE ID Facility Name EU ID 

Control 

Factor 

Unit 

Description

24013 013-0012 LEHIGH PORTLAND CEMENT 39 25.00 013-0012-6-0256 013-0012-6-0256 

24021 021-0013 ESSROC CEMENT 21 25.00 021-0013-6-0465 021-0013-6-0465 

24021 021-0013 ESSROC CEMENT 22 25.00 021-0013-6-0466 021-0013-6-0466 

24043 043-0008 INDEPENDENT CEMENT/ST. 

LAWEREN 

24 25.00 043-0008-6-0495 043-0008-6-0495 

36001 4012400001 LAFARGE BUILDING MATERIALS INC 041000 25.00 EMISSION UNIT 

36039 4192600021 ST LAWRENCE CEMENT CORPCATSKI U00K18 25.00 EMISSION UNIT 

36113 5520500013 GLENS FALLS LEHIGH CEMENT 0UKILN 25.00 EMISSION UNIT 

42011 420110039 LEHIGH CEMENT CO /EVANSVILLE 121 70.00 PORTLAND CEMENT KILN #1 

42011 420110039 LEHIGH CEMENT CO /EVANSVILLE 122 70.00 PORTLAND CEMENT KILN #2 

42019 420190024 ARMSTRONG CEMENT & SUPPLY 101 16.00 NO.1 KILN 

42019 420190024 ARMSTRONG CEMENT & SUPPLY 121 16.00 NO.2 KILN 

42073 420730024 CEMEX INC/WAMPUM CEMENT PLT 226 12.50 

42073 420730024 CEMEX INC/WAMPUM CEMENT PLT 227 0.00 

42073 420730024 CEMEX INC/WAMPUM CEMENT PLT 228 12.70 

42073 420730026 ESSROC/BESSEMER 501 8.00 

42073 420730026 ESSROC/BESSEMER 502 8.00 

42077 420770019 LAFARGE CORP/WHITEHALL PLT 101 12.28 K-2 KILN 

42077 420770019 LAFARGE CORP/WHITEHALL PLT 114 100.00 K-3 KILN 

42095 420950006 HERCULES CEMENT CO 

LP/STOCKERT 

102 6.88 NO. 1 CEMENT KILN 

42095 420950006 HERCULES CEMENT CO 

LP/STOCKERT 

122 6.88 NO. 3 CEMENT KILN 

42095 420950012 KEYSTONE PORTLAND 

CEMENT/EAST 

101 27.00 CEMENT KILN NO. 1 

42095 420950012 KEYSTONE PORTLAND 

CEMENT/EAST 

102 27.00 CEMENT KILN NO. 2 

42095 420950045 ESSROC/NAZARETH LOWER CEMENT 142 41.00 

42095 420950045 ESSROC/NAZARETH LOWER CEMENT 143 41.00 

42095 420950127 ESSROC/NAZARETH CEMENT PLT 3 101 41.00 

42095 420950127 ESSROC/NAZARETH CEMENT PLT 3 102 41.00 

42095 420950127 ESSROC/NAZARETH CEMENT PLT 3 103 41.00 

42095 420950127 ESSROC/NAZARETH CEMENT PLT 3 104 41.00 

42133 421330060 LEHIGH CEMENT CO/YORK 

OPERATION 

200 27.00 

Appendix G Att. 13b - Page Number

123
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-4 

MACTEC Federal Programs, Inc. 

Table B-3 Large IC Engines Affected by the NOx SIP Call Phase II 

FIPS SITE ID Facility Name EU ID 

Control 

Factor 

Unit 

Description

24027 027-0223 TRANSCONTINENTAL GAS PIPE LINE 1 80.00 027-0223-5-0054 boiler 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 101 80.00 ENGINE #1 (2000 BHP) 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 102 80.00 ENGINE #2 (2000 BHP) 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 103 80.00 ENGINE #3 (2000 BHP) 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 104 80.00 ENGINE #4 (2000 BHP) 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 105 80.00 ENGINE #5 (2000 BHP) 

42005 420050015 DOMINION TRANS INC/SOUTH BEND 106 80.00 ENGINE #6 (2000 BHP) 

42029 420290047 TRANSCONTINENTAL GAS/FRAZER 

ST 

741 80.00 #11 I-C GAS COMPRESSOR 

ENGINE 

42029 420290047 TRANSCONTINENTAL GAS/FRAZER 

ST 

742 80.00 #12 I-C GAS COMPRESSOR 

ENGINE 

42029 420290047 TRANSCONTINENTAL GAS/FRAZER 

ST 

743 80.00 #13 I-C GAS COMPRESSOR 

ENGINE 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 101 90.00 COOPER-BESSEMER ENGINE #1 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 101 90.00 COOPER-BESSEMER ENGINE #1 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 101 90.00 COOPER-BESSEMER ENGINE #1 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 101 90.00 COOPER-BESSEMER ENGINE #1 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 102 90.00 COOPER-BESSEMER ENGINE #2 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 102 90.00 COOPER-BESSEMER ENGINE #2 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 102 90.00 COOPER-BESSEMER ENGINE #2 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 102 90.00 COOPER-BESSEMER ENGINE #2 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 103 90.00 COOPER-BESSEMER ENGINE #3 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 103 90.00 COOPER-BESSEMER ENGINE #3 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 103 90.00 COOPER-BESSEMER ENGINE #3 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 103 90.00 COOPER-BESSEMER ENGINE #3 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 104 90.00 COOPER-BESSEMER ENGINE #4 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 104 90.00 COOPER-BESSEMER ENGINE #4 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 104 90.00 COOPER-BESSEMER ENGINE #4 

42063 420630018 PA STATE SYS OF HIGHER ED/INDI 104 90.00 COOPER-BESSEMER ENGINE #4 

42105 421050005 TENNESSEE GAS PIPELINE CO/313 P111 80.00 3,000HP KVT-512 ENGINE 

42105 421050005 TENNESSEE GAS PIPELINE CO/313 P112 80.00 2,000HP GMVH-10C ENGINE 

42133 421330053 TRANSCONTINENTAL GAS/STATION 1 036 80.00 COOPER-BESSEMER ENGINE #4 

42133 421330053 TRANSCONTINENTAL GAS/STATION 1 037 80.00 COOPER-BESSEMER ENGINE #5 

Appendix G Att. 13b - Page Number

124
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-5 

MACTEC Federal Programs, Inc. 

B-4 NonEGU Control Factors for Post-2002 MACT Categories 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

20100102 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20100202 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20100702 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20100802 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20100902 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200102 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200104 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200202 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200204 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200301 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200501 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200702 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200706 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20200902 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201001 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201002 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201012 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201014 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201602 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20201702 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20300101 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

20300301 NOX 17.000 ZZZZ Reciprocating Internal Combustion Engines 

30400101 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400102 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400103 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400104 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400105 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400106 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400107 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400108 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400109 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400110 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400111 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400112 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400113 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400114 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400115 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400116 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400117 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400118 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400120 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400121 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400130 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400131 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400132 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400133 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400150 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400160 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30400199 PM10-PRI 90.000 RRR Secondary Aluminum Production 

30500301 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

Appendix G Att. 13b - Page Number

125
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-6 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30500302 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500303 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500304 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500305 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500306 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500307 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500308 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500309 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500310 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500311 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500312 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500313 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500314 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500315 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500316 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500317 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500318 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500319 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500321 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500322 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500330 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500331 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500332 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500333 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500334 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500335 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500340 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500342 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500350 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500351 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500355 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500360 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500361 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500370 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500397 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500398 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30500399 PM10-PRI 45.100 JJJJJ Brick and Structural Clay 

30501601 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501602 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501603 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501604 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501605 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501606 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501607 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501608 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501609 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501610 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501611 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501612 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501613 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501614 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501615 PM10-PRI 28.000 AAAAA Lime Manufacturing 

Appendix G Att. 13b - Page Number

126
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-7 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30501616 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501617 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501618 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501619 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501620 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501621 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501622 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501623 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501624 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501625 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501626 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501627 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501628 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501629 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501630 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501631 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501632 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501633 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501640 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501650 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501660 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30501699 PM10-PRI 28.000 AAAAA Lime Manufacturing 

30400101 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400102 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400103 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400104 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400105 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400106 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400107 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400108 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400109 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400110 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400111 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400112 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400113 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400114 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400115 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400116 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400117 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400118 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400120 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400121 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400130 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400131 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400132 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400133 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400150 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400160 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30400199 PM25-PRI 90.000 RRR Secondary Aluminum Production 

30500301 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500302 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500303 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

Appendix G Att. 13b - Page Number

127
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-8 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30500304 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500305 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500306 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500307 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500308 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500309 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500310 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500311 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500312 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500313 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500314 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500315 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500316 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500317 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500318 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500319 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500321 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500322 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500330 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500331 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500332 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500333 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500334 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500335 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500340 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500342 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500350 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500351 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500355 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500360 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500361 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500370 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500397 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500398 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30500399 PM25-PRI 45.100 JJJJJ Brick and Structural Clay 

30501601 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501602 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501603 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501604 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501605 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501606 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501607 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501608 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501609 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501610 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501611 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501612 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501613 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501614 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501615 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501616 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501617 PM25-PRI 28.000 AAAAA Lime Manufacturing 

Appendix G Att. 13b - Page Number

128
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-9 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30501618 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501619 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501620 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501621 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501622 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501623 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501624 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501625 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501626 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501627 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501628 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501629 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501630 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501631 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501632 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501633 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501640 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501650 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501660 PM25-PRI 28.000 AAAAA Lime Manufacturing 

30501699 PM25-PRI 28.000 AAAAA Lime Manufacturing 

20100101 VOC 0.250 YYYY Stationary Combustion Turbines 

20100102 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20100201 VOC 0.250 YYYY Stationary Combustion Turbines 

20100202 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20100702 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20100802 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20100902 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200101 VOC 0.250 YYYY Stationary Combustion Turbines 

20200102 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200103 VOC 0.250 YYYY Stationary Combustion Turbines 

20200104 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200201 VOC 0.250 YYYY Stationary Combustion Turbines 

20200202 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200203 VOC 0.250 YYYY Stationary Combustion Turbines 

20200204 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200209 VOC 0.250 YYYY Stationary Combustion Turbines 

20200301 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200501 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200702 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200706 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20200902 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201001 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201002 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201012 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201014 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201602 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20201702 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20300101 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20300102 VOC 0.250 YYYY Stationary Combustion Turbines 

20300109 VOC 0.250 YYYY Stationary Combustion Turbines 

20300202 VOC 0.250 YYYY Stationary Combustion Turbines 

20300203 VOC 0.250 YYYY Stationary Combustion Turbines 

Appendix G Att. 13b - Page Number

129
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-10 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

20300209 VOC 0.250 YYYY Stationary Combustion Turbines 

20300301 VOC 40.000 ZZZZ Reciprocating Internal Combustion Engines 

20300701 VOC 0.250 YYYY Stationary Combustion Turbines 

30100501 VOC 26.100 YY Generic MACT (Carbon Black) 

30100502 VOC 26.100 YY Generic MACT (Carbon Black) 

30100503 VOC 26.100 YY Generic MACT (Carbon Black) 

30100504 VOC 26.100 YY Generic MACT (Carbon Black) 

30100506 VOC 26.100 YY Generic MACT (Carbon Black) 

30100507 VOC 26.100 YY Generic MACT (Carbon Black) 

30100508 VOC 26.100 YY Generic MACT (Carbon Black) 

30100509 VOC 26.100 YY Generic MACT (Carbon Black) 

30100510 VOC 26.100 YY Generic MACT (Carbon Black) 

30100599 VOC 26.100 YY Generic MACT (Carbon Black) 

30101005 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101013 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101014 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101023 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101026 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101027 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101028 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101033 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101034 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101035 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101036 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101037 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101045 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101046 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101047 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101050 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101051 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101052 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101053 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101054 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101055 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101061 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101062 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101063 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101064 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101073 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101074 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101075 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101076 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101077 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

130
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-11 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30101080 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101085 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101086 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101087 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101099 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101827 VOC 55.700 OOO Polymers and Resins III 

30101837 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30101880 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101881 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101882 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101883 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101884 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101885 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101890 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101891 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101892 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101893 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101894 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30101899 VOC 67.400 MMMMM Flexible Polyurethane Foam Fabrication Ope 

30103201 VOC 87.400 UUU Petroleum Refineries 

30103202 VOC 87.400 UUU Petroleum Refineries 

30103203 VOC 87.400 UUU Petroleum Refineries 

30103204 VOC 87.400 UUU Petroleum Refineries 

30103205 VOC 87.400 UUU Petroleum Refineries 

30103299 VOC 87.400 UUU Petroleum Refineries 

30103301 VOC 64.820 MMM Pesticide Active Ingredient 

30103311 VOC 64.820 MMM Pesticide Active Ingredient 

30103312 VOC 64.820 MMM Pesticide Active Ingredient 

30103399 VOC 64.820 MMM Pesticide Active Ingredient 

30103901 VOC 44.500 YY Generic MACT (Cyanide) 

30103902 VOC 44.500 YY Generic MACT (Cyanide) 

30103903 VOC 44.500 YY Generic MACT (Cyanide) 

30105001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105101 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105105 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105108 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105110 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105112 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105114 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105116 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105118 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105120 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105122 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105124 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30105130 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110003 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110004 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110005 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110080 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30110099 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30111103 VOC 43.900 QQQQQ Friction Products Manufacturing 

Appendix G Att. 13b - Page Number

131
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-12 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30111199 VOC 43.900 QQQQQ Friction Products Manufacturing 

30113001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30113003 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30113004 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30113005 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30113006 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30113007 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

30201901 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201902 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201903 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201904 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201905 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201906 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201907 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201908 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201909 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201911 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201912 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201913 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201914 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201915 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201916 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201917 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201918 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201919 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201920 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201921 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201923 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201925 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201926 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201927 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201930 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201931 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201932 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201933 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201935 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201939 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201941 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201942 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201945 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201949 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201950 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201960 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201997 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201998 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30201999 VOC 38.690 GGGG Solvent Extraction for Vegetable Oil Produ 

30203404 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203405 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203406 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203407 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203410 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203415 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

Appendix G Att. 13b - Page Number

132
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-13 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30203420 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203421 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203422 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203423 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203424 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203504 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203505 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203506 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203507 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203510 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203530 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203531 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203532 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203533 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203534 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203535 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203536 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30203540 VOC 12.500 CCCC Manufacturing Nutritional Yeast 

30300303 VOC 50.000 CCCCC Coke Ovens: Pushing, Quenching, Battery St 

30300304 VOC 50.000 CCCCC Coke Ovens: Pushing, Quenching, Battery St 

30400301 VOC 40.000 EEEEE Iron and Steel Foundries 

30400302 VOC 40.000 EEEEE Iron and Steel Foundries 

30400303 VOC 40.000 EEEEE Iron and Steel Foundries 

30400304 VOC 40.000 EEEEE Iron and Steel Foundries 

30400305 VOC 40.000 EEEEE Iron and Steel Foundries 

30400310 VOC 40.000 EEEEE Iron and Steel Foundries 

30400314 VOC 40.000 EEEEE Iron and Steel Foundries 

30400315 VOC 40.000 EEEEE Iron and Steel Foundries 

30400316 VOC 40.000 EEEEE Iron and Steel Foundries 

30400317 VOC 40.000 EEEEE Iron and Steel Foundries 

30400318 VOC 40.000 EEEEE Iron and Steel Foundries 

30400319 VOC 40.000 EEEEE Iron and Steel Foundries 

30400320 VOC 40.000 EEEEE Iron and Steel Foundries 

30400321 VOC 40.000 EEEEE Iron and Steel Foundries 

30400322 VOC 40.000 EEEEE Iron and Steel Foundries 

30400325 VOC 40.000 EEEEE Iron and Steel Foundries 

30400330 VOC 40.000 EEEEE Iron and Steel Foundries 

30400331 VOC 40.000 EEEEE Iron and Steel Foundries 

30400332 VOC 40.000 EEEEE Iron and Steel Foundries 

30400333 VOC 40.000 EEEEE Iron and Steel Foundries 

30400340 VOC 40.000 EEEEE Iron and Steel Foundries 

30400341 VOC 40.000 EEEEE Iron and Steel Foundries 

30400342 VOC 40.000 EEEEE Iron and Steel Foundries 

30400350 VOC 40.000 EEEEE Iron and Steel Foundries 

30400351 VOC 40.000 EEEEE Iron and Steel Foundries 

30400352 VOC 40.000 EEEEE Iron and Steel Foundries 

30400353 VOC 40.000 EEEEE Iron and Steel Foundries 

30400354 VOC 40.000 EEEEE Iron and Steel Foundries 

30400355 VOC 40.000 EEEEE Iron and Steel Foundries 

30400356 VOC 40.000 EEEEE Iron and Steel Foundries 

30400357 VOC 40.000 EEEEE Iron and Steel Foundries 

30400358 VOC 40.000 EEEEE Iron and Steel Foundries 

Appendix G Att. 13b - Page Number

133
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-14 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30400360 VOC 40.000 EEEEE Iron and Steel Foundries 

30400370 VOC 40.000 EEEEE Iron and Steel Foundries 

30400371 VOC 40.000 EEEEE Iron and Steel Foundries 

30400398 VOC 40.000 EEEEE Iron and Steel Foundries 

30400399 VOC 40.000 EEEEE Iron and Steel Foundries 

30500101 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500102 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500103 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500104 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500105 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500106 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500107 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500108 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500110 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500111 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500112 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500113 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500114 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500115 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500116 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500117 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500118 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500119 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500120 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500121 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500130 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500131 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500132 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500133 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500134 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500135 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500140 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500141 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500142 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500143 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500144 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500145 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500146 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500147 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500150 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500151 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500152 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500153 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500154 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500198 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30500199 VOC 28.000 LLLLL Asphalt Process and Asphalt Roofing 

30501201 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501202 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501203 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501204 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501205 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501206 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

Appendix G Att. 13b - Page Number

134
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-15 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30501207 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501208 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501209 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501211 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501212 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501213 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501214 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501215 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501221 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501222 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501223 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501224 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30501299 VOC 74.000 HHHH Wet Formed Fiberglass Mat Production 

30600201 VOC 87.400 UUU Petroleum Refineries (FCC) 

30600202 VOC 87.400 UUU Petroleum Refineries (FCC) 

30600301 VOC 87.400 UUU Petroleum Refineries (FCC) 

30600402 VOC 87.400 UUU Petroleum Refineries (FCC) 

30600901 VOC 65.630 UUU Petroleum Refineries 

30600902 VOC 65.630 UUU Petroleum Refineries 

30600903 VOC 65.630 UUU Petroleum Refineries 

30600904 VOC 65.630 UUU Petroleum Refineries 

30600905 VOC 65.630 UUU Petroleum Refineries 

30600906 VOC 65.630 UUU Petroleum Refineries 

30600999 VOC 65.630 UUU Petroleum Refineries 

30601001 VOC 65.630 UUU Petroleum Refineries 

30601101 VOC 65.630 UUU Petroleum Refineries 

30601201 VOC 65.630 UUU Petroleum Refineries 

30601301 VOC 65.630 UUU Petroleum Refineries 

30601401 VOC 65.630 UUU Petroleum Refineries 

30609901 VOC 65.630 UUU Petroleum Refineries 

30609902 VOC 65.630 UUU Petroleum Refineries 

30609903 VOC 65.630 UUU Petroleum Refineries 

30609904 VOC 65.630 UUU Petroleum Refineries 

30609905 VOC 65.630 UUU Petroleum Refineries 

30610001 VOC 65.630 UUU Petroleum Refineries 

30688801 VOC 87.400 UUU Petroleum Refineries 

30688802 VOC 87.400 UUU Petroleum Refineries 

30688803 VOC 87.400 UUU Petroleum Refineries 

30688804 VOC 87.400 UUU Petroleum Refineries 

30688805 VOC 87.400 UUU Petroleum Refineries 

30700103 VOC 7.020 MM Comustion Sources at Kraft, Soda, and Sulf 

30700104 VOC 7.020 MM Comustion Sources at Kraft, Soda, and Sulf 

30700106 VOC 7.020 MM Comustion Sources at Kraft, Soda, and Sulf 

30700110 VOC 7.020 MM Comustion Sources at Kraft, Soda, and Sulf 

30700602 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700604 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700606 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700607 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700608 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700610 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700611 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700621 VOC 41.200 DDDD Plywood and Composite Wood Products 

Appendix G Att. 13b - Page Number

135
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-16 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30700625 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700626 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700628 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700629 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700630 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700631 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700632 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700635 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700640 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700651 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700655 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700661 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700701 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700702 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700703 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700704 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700705 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700706 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700707 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700708 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700709 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700710 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700711 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700712 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700713 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700714 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700715 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700716 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700717 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700718 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700720 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700725 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700727 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700730 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700734 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700735 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700736 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700737 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700740 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700744 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700746 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700747 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700750 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700752 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700753 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700756 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700757 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700760 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700762 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700763 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700766 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700767 VOC 41.200 DDDD Plywood and Composite Wood Products 

Appendix G Att. 13b - Page Number

136
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-17 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30700769 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700770 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700771 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700780 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700781 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700783 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700785 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700788 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700789 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700790 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700791 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700792 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700793 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700798 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700799 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700921 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700923 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700925 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700927 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700931 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700932 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700933 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700934 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700935 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700936 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700937 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700939 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700940 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700950 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700960 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700971 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700980 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700981 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700982 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700983 VOC 41.200 DDDD Plywood and Composite Wood Products 

30700984 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701001 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701008 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701009 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701010 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701015 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701020 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701030 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701040 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701053 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701054 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701055 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701057 VOC 41.200 DDDD Plywood and Composite Wood Products 

30701199 VOC 82.050 JJJJ Paper and Other Web Coating 

30800101 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800102 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800103 VOC 47.600 XXXX Rubber Tire Manufacturing 

Appendix G Att. 13b - Page Number

137
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-18 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

30800104 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800105 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800106 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800107 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800108 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800109 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800110 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800111 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800112 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800113 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800114 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800115 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800116 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800117 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800120 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800121 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800122 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800123 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800124 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800125 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800126 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800127 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800128 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800129 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800130 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800131 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800132 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800133 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800197 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800198 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800199 VOC 47.600 XXXX Rubber Tire Manufacturing 

30800701 VOC 70.000 WWWW Reinforced Plastics 

30800702 VOC 70.000 WWWW Reinforced Plastics 

30800703 VOC 70.000 WWWW Reinforced Plastics 

30800704 VOC 70.000 WWWW Reinforced Plastics 

30800705 VOC 70.000 WWWW Reinforced Plastics 

30800720 VOC 70.000 WWWW Reinforced Plastics 

30800721 VOC 70.000 WWWW Reinforced Plastics 

30800722 VOC 70.000 WWWW Reinforced Plastics 

30800723 VOC 70.000 WWWW Reinforced Plastics 

30800724 VOC 70.000 WWWW Reinforced Plastics 

30800799 VOC 70.000 WWWW Reinforced Plastics 

30801001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

31401001 VOC 43.900 QQQQQ Friction Products Manufacturing 

31401002 VOC 43.900 QQQQQ Friction Products Manufacturing 

31401501 VOC 35.790 VVVV Boat Manufacturing 

31401503 VOC 35.790 VVVV Boat Manufacturing 

31401504 VOC 35.790 VVVV Boat Manufacturing 

31401510 VOC 35.790 VVVV Boat Manufacturing 

31401511 VOC 35.790 VVVV Boat Manufacturing 

31401512 VOC 35.790 VVVV Boat Manufacturing 

31401513 VOC 35.790 VVVV Boat Manufacturing 

Appendix G Att. 13b - Page Number

138
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-19 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

31401514 VOC 35.790 VVVV Boat Manufacturing 

31401515 VOC 35.790 VVVV Boat Manufacturing 

31401516 VOC 35.790 VVVV Boat Manufacturing 

31401517 VOC 35.790 VVVV Boat Manufacturing 

31401518 VOC 35.790 VVVV Boat Manufacturing 

31401525 VOC 35.790 VVVV Boat Manufacturing 

31401530 VOC 35.790 VVVV Boat Manufacturing 

31401531 VOC 35.790 VVVV Boat Manufacturing 

31401540 VOC 35.790 VVVV Boat Manufacturing 

31401541 VOC 35.790 VVVV Boat Manufacturing 

31401550 VOC 35.790 VVVV Boat Manufacturing 

31401551 VOC 35.790 VVVV Boat Manufacturing 

31401552 VOC 35.790 VVVV Boat Manufacturing 

31401553 VOC 35.790 VVVV Boat Manufacturing 

31401560 VOC 35.790 VVVV Boat Manufacturing 

31401561 VOC 35.790 VVVV Boat Manufacturing 

31401562 VOC 35.790 VVVV Boat Manufacturing 

31401563 VOC 35.790 VVVV Boat Manufacturing 

31401570 VOC 35.790 VVVV Boat Manufacturing 

31401571 VOC 35.790 VVVV Boat Manufacturing 

31604001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

31604002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

31604003 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

32099997 VOC 38.900 TTTT Leather Finishing Operations 

32099998 VOC 38.900 TTTT Leather Finishing Operations 

32099999 VOC 38.900 TTTT Leather Finishing Operations 

40201101 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201103 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201104 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201105 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201111 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201112 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201113 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201114 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201115 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201116 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201121 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201122 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201197 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201198 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201199 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201201 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201210 VOC 60.170 OOOO Fabric Printing, Coating, & Dyeing 

40201301 VOC 82.050 JJJJ Paper and Other Web Coating 

40201303 VOC 82.050 JJJJ Paper and Other Web Coating 

40201304 VOC 82.050 JJJJ Paper and Other Web Coating 

40201305 VOC 82.050 JJJJ Paper and Other Web Coating 

40201310 VOC 82.050 JJJJ Paper and Other Web Coating 

40201320 VOC 82.050 JJJJ Paper and Other Web Coating 

40201330 VOC 82.050 JJJJ Paper and Other Web Coating 

40201399 VOC 82.050 JJJJ Paper and Other Web Coating 

40201601 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

Appendix G Att. 13b - Page Number

139
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-20 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

40201602 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201603 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201604 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201605 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201606 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201607 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201608 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201609 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201619 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201620 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201621 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201622 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201623 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201624 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201625 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201626 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201627 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201628 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201629 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201630 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201631 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201632 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201699 VOC 66.730 IIII Auto and Light Trucks Surface Coating 

40201702 VOC 70.830 KKKK Metal Can 

40201703 VOC 70.830 KKKK Metal Can 

40201704 VOC 70.830 KKKK Metal Can 

40201705 VOC 70.830 KKKK Metal Can 

40201706 VOC 70.830 KKKK Metal Can 

40201721 VOC 70.830 KKKK Metal Can 

40201722 VOC 70.830 KKKK Metal Can 

40201723 VOC 70.830 KKKK Metal Can 

40201724 VOC 70.830 KKKK Metal Can 

40201725 VOC 70.830 KKKK Metal Can 

40201726 VOC 70.830 KKKK Metal Can 

40201727 VOC 70.830 KKKK Metal Can 

40201728 VOC 70.830 KKKK Metal Can 

40201729 VOC 70.830 KKKK Metal Can 

40201731 VOC 70.830 KKKK Metal Can 

40201732 VOC 70.830 KKKK Metal Can 

40201733 VOC 70.830 KKKK Metal Can 

40201734 VOC 70.830 KKKK Metal Can 

40201735 VOC 70.830 KKKK Metal Can 

40201736 VOC 70.830 KKKK Metal Can 

40201737 VOC 70.830 KKKK Metal Can 

40201738 VOC 70.830 KKKK Metal Can 

40201739 VOC 70.830 KKKK Metal Can 

40201799 VOC 70.830 KKKK Metal Can 

40201801 VOC 53.060 SSSS Metal Coil 

40201802 VOC 53.060 SSSS Metal Coil 

40201803 VOC 53.060 SSSS Metal Coil 

40201804 VOC 53.060 SSSS Metal Coil 

40201805 VOC 53.060 SSSS Metal Coil 

Appendix G Att. 13b - Page Number

140
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-21 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

40201806 VOC 53.060 SSSS Metal Coil 

40201807 VOC 53.060 SSSS Metal Coil 

40201899 VOC 53.060 SSSS Metal Coil 

40202001 VOC 73.070 RRRR Metal Furniture 

40202002 VOC 73.070 RRRR Metal Furniture 

40202003 VOC 73.070 RRRR Metal Furniture 

40202004 VOC 73.070 RRRR Metal Furniture 

40202005 VOC 73.070 RRRR Metal Furniture 

40202010 VOC 73.070 RRRR Metal Furniture 

40202011 VOC 73.070 RRRR Metal Furniture 

40202012 VOC 73.070 RRRR Metal Furniture 

40202013 VOC 73.070 RRRR Metal Furniture 

40202014 VOC 73.070 RRRR Metal Furniture 

40202015 VOC 73.070 RRRR Metal Furniture 

40202020 VOC 73.070 RRRR Metal Furniture 

40202021 VOC 73.070 RRRR Metal Furniture 

40202022 VOC 73.070 RRRR Metal Furniture 

40202023 VOC 73.070 RRRR Metal Furniture 

40202024 VOC 73.070 RRRR Metal Furniture 

40202025 VOC 73.070 RRRR Metal Furniture 

40202031 VOC 73.070 RRRR Metal Furniture 

40202032 VOC 73.070 RRRR Metal Furniture 

40202033 VOC 73.070 RRRR Metal Furniture 

40202034 VOC 73.070 RRRR Metal Furniture 

40202035 VOC 73.070 RRRR Metal Furniture 

40202036 VOC 73.070 RRRR Metal Furniture 

40202037 VOC 73.070 RRRR Metal Furniture 

40202038 VOC 73.070 RRRR Metal Furniture 

40202039 VOC 73.070 RRRR Metal Furniture 

40202099 VOC 73.070 RRRR Metal Furniture 

40202101 VOC 74.000 QQQQ Wood Building Products 

40202103 VOC 74.000 QQQQ Wood Building Products 

40202104 VOC 74.000 QQQQ Wood Building Products 

40202105 VOC 74.000 QQQQ Wood Building Products 

40202106 VOC 74.000 QQQQ Wood Building Products 

40202107 VOC 74.000 QQQQ Wood Building Products 

40202108 VOC 74.000 QQQQ Wood Building Products 

40202109 VOC 74.000 QQQQ Wood Building Products 

40202110 VOC 74.000 QQQQ Wood Building Products 

40202111 VOC 74.000 QQQQ Wood Building Products 

40202117 VOC 74.000 QQQQ Wood Building Products 

40202118 VOC 74.000 QQQQ Wood Building Products 

40202131 VOC 74.000 QQQQ Wood Building Products 

40202132 VOC 74.000 QQQQ Wood Building Products 

40202133 VOC 74.000 QQQQ Wood Building Products 

40202140 VOC 74.000 QQQQ Wood Building Products 

40202199 VOC 74.000 QQQQ Wood Building Products 

40202201 VOC 77.000 PPPP Plastic Parts Coating 

40202202 VOC 77.000 PPPP Plastic Parts Coating 

40202203 VOC 77.000 PPPP Plastic Parts Coating 

40202204 VOC 77.000 PPPP Plastic Parts Coating 

40202205 VOC 77.000 PPPP Plastic Parts Coating 

Appendix G Att. 13b - Page Number

141
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-22 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

40202206 VOC 77.000 PPPP Plastic Parts Coating 

40202207 VOC 77.000 PPPP Plastic Parts Coating 

40202208 VOC 77.000 PPPP Plastic Parts Coating 

40202209 VOC 77.000 PPPP Plastic Parts Coating 

40202210 VOC 77.000 PPPP Plastic Parts Coating 

40202211 VOC 77.000 PPPP Plastic Parts Coating 

40202212 VOC 77.000 PPPP Plastic Parts Coating 

40202213 VOC 77.000 PPPP Plastic Parts Coating 

40202214 VOC 77.000 PPPP Plastic Parts Coating 

40202215 VOC 77.000 PPPP Plastic Parts Coating 

40202220 VOC 77.000 PPPP Plastic Parts Coating 

40202229 VOC 77.000 PPPP Plastic Parts Coating 

40202230 VOC 77.000 PPPP Plastic Parts Coating 

40202239 VOC 77.000 PPPP Plastic Parts Coating 

40202240 VOC 77.000 PPPP Plastic Parts Coating 

40202249 VOC 77.000 PPPP Plastic Parts Coating 

40202250 VOC 77.000 PPPP Plastic Parts Coating 

40202259 VOC 77.000 PPPP Plastic Parts Coating 

40202270 VOC 77.000 PPPP Plastic Parts Coating 

40202280 VOC 77.000 PPPP Plastic Parts Coating 

40202299 VOC 77.000 PPPP Plastic Parts Coating 

40202501 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202502 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202503 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202504 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202505 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202510 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202511 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202512 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202515 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202520 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202521 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202522 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202523 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202524 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202525 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202531 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202532 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202533 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202534 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202535 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202536 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202537 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202542 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202543 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202544 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202545 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202546 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202599 VOC 47.930 MMMM Misc. Metal Parts and Products 

40202601 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202602 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202603 VOC 66.200 HHHHH Misc. Coating Manufacturing 

Appendix G Att. 13b - Page Number

142
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-23 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

40202604 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202605 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202606 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202607 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40202699 VOC 66.200 HHHHH Misc. Coating Manufacturing 

40388801 VOC 65.630 UUU Petroleum Refineries 

40388802 VOC 65.630 UUU Petroleum Refineries 

40388803 VOC 65.630 UUU Petroleum Refineries 

40388804 VOC 65.630 UUU Petroleum Refineries 

40388805 VOC 65.630 UUU Petroleum Refineries 

40399999 VOC 65.630 UUU Petroleum Refineries 

50400101 VOC 50.080 GGGGG Site Remediation 

50400102 VOC 50.080 GGGGG Site Remediation 

50400103 VOC 50.080 GGGGG Site Remediation 

50400104 VOC 50.080 GGGGG Site Remediation 

50400150 VOC 50.080 GGGGG Site Remediation 

50400151 VOC 50.080 GGGGG Site Remediation 

50400201 VOC 50.080 GGGGG Site Remediation 

50400202 VOC 50.080 GGGGG Site Remediation 

50410001 VOC 50.080 GGGGG Site Remediation 

50410002 VOC 50.080 GGGGG Site Remediation 

50410003 VOC 50.080 GGGGG Site Remediation 

50410004 VOC 50.080 GGGGG Site Remediation 

50410005 VOC 50.080 GGGGG Site Remediation 

50410010 VOC 50.080 GGGGG Site Remediation 

50410020 VOC 50.080 GGGGG Site Remediation 

50410021 VOC 50.080 GGGGG Site Remediation 

50410022 VOC 50.080 GGGGG Site Remediation 

50410030 VOC 50.080 GGGGG Site Remediation 

50410040 VOC 50.080 GGGGG Site Remediation 

50410101 VOC 50.080 GGGGG Site Remediation 

50410110 VOC 50.080 GGGGG Site Remediation 

50410111 VOC 50.080 GGGGG Site Remediation 

50410112 VOC 50.080 GGGGG Site Remediation 

50410120 VOC 50.080 GGGGG Site Remediation 

50410121 VOC 50.080 GGGGG Site Remediation 

50410122 VOC 50.080 GGGGG Site Remediation 

50410123 VOC 50.080 GGGGG Site Remediation 

50410124 VOC 50.080 GGGGG Site Remediation 

50410210 VOC 50.080 GGGGG Site Remediation 

50410211 VOC 50.080 GGGGG Site Remediation 

50410212 VOC 50.080 GGGGG Site Remediation 

50410213 VOC 50.080 GGGGG Site Remediation 

50410214 VOC 50.080 GGGGG Site Remediation 

50410215 VOC 50.080 GGGGG Site Remediation 

50410216 VOC 50.080 GGGGG Site Remediation 

50410310 VOC 50.080 GGGGG Site Remediation 

50410311 VOC 50.080 GGGGG Site Remediation 

50410312 VOC 50.080 GGGGG Site Remediation 

50410313 VOC 50.080 GGGGG Site Remediation 

50410314 VOC 50.080 GGGGG Site Remediation 

50410321 VOC 50.080 GGGGG Site Remediation 

Appendix G Att. 13b - Page Number

143
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-24 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

50410322 VOC 50.080 GGGGG Site Remediation 

50410405 VOC 50.080 GGGGG Site Remediation 

50410406 VOC 50.080 GGGGG Site Remediation 

50410407 VOC 50.080 GGGGG Site Remediation 

50410408 VOC 50.080 GGGGG Site Remediation 

50410409 VOC 50.080 GGGGG Site Remediation 

50410420 VOC 50.080 GGGGG Site Remediation 

50410510 VOC 50.080 GGGGG Site Remediation 

50410511 VOC 50.080 GGGGG Site Remediation 

50410512 VOC 50.080 GGGGG Site Remediation 

50410513 VOC 50.080 GGGGG Site Remediation 

50410514 VOC 50.080 GGGGG Site Remediation 

50410520 VOC 50.080 GGGGG Site Remediation 

50410521 VOC 50.080 GGGGG Site Remediation 

50410522 VOC 50.080 GGGGG Site Remediation 

50410523 VOC 50.080 GGGGG Site Remediation 

50410524 VOC 50.080 GGGGG Site Remediation 

50410525 VOC 50.080 GGGGG Site Remediation 

50410530 VOC 50.080 GGGGG Site Remediation 

50410531 VOC 50.080 GGGGG Site Remediation 

50410532 VOC 50.080 GGGGG Site Remediation 

50410533 VOC 50.080 GGGGG Site Remediation 

50410534 VOC 50.080 GGGGG Site Remediation 

50410535 VOC 50.080 GGGGG Site Remediation 

50410536 VOC 50.080 GGGGG Site Remediation 

50410537 VOC 50.080 GGGGG Site Remediation 

50410538 VOC 50.080 GGGGG Site Remediation 

50410539 VOC 50.080 GGGGG Site Remediation 

50410540 VOC 50.080 GGGGG Site Remediation 

50410541 VOC 50.080 GGGGG Site Remediation 

50410542 VOC 50.080 GGGGG Site Remediation 

50410543 VOC 50.080 GGGGG Site Remediation 

50410560 VOC 50.080 GGGGG Site Remediation 

50410561 VOC 50.080 GGGGG Site Remediation 

50410562 VOC 50.080 GGGGG Site Remediation 

50410563 VOC 50.080 GGGGG Site Remediation 

50410564 VOC 50.080 GGGGG Site Remediation 

50410565 VOC 50.080 GGGGG Site Remediation 

50410610 VOC 50.080 GGGGG Site Remediation 

50410620 VOC 50.080 GGGGG Site Remediation 

50410621 VOC 50.080 GGGGG Site Remediation 

50410622 VOC 50.080 GGGGG Site Remediation 

50410623 VOC 50.080 GGGGG Site Remediation 

50410640 VOC 50.080 GGGGG Site Remediation 

50410641 VOC 50.080 GGGGG Site Remediation 

50410642 VOC 50.080 GGGGG Site Remediation 

50410643 VOC 50.080 GGGGG Site Remediation 

50410644 VOC 50.080 GGGGG Site Remediation 

50410645 VOC 50.080 GGGGG Site Remediation 

50410710 VOC 50.080 GGGGG Site Remediation 

50410711 VOC 50.080 GGGGG Site Remediation 

50410712 VOC 50.080 GGGGG Site Remediation 

Appendix G Att. 13b - Page Number

144
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-25 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

50410720 VOC 50.080 GGGGG Site Remediation 

50410721 VOC 50.080 GGGGG Site Remediation 

50410722 VOC 50.080 GGGGG Site Remediation 

50410723 VOC 50.080 GGGGG Site Remediation 

50410724 VOC 50.080 GGGGG Site Remediation 

50410725 VOC 50.080 GGGGG Site Remediation 

50410726 VOC 50.080 GGGGG Site Remediation 

50410740 VOC 50.080 GGGGG Site Remediation 

50410760 VOC 50.080 GGGGG Site Remediation 

50410761 VOC 50.080 GGGGG Site Remediation 

50410762 VOC 50.080 GGGGG Site Remediation 

50410763 VOC 50.080 GGGGG Site Remediation 

50410764 VOC 50.080 GGGGG Site Remediation 

50410765 VOC 50.080 GGGGG Site Remediation 

50410766 VOC 50.080 GGGGG Site Remediation 

50410780 VOC 50.080 GGGGG Site Remediation 

50480001 VOC 50.080 GGGGG Site Remediation 

50482001 VOC 50.080 GGGGG Site Remediation 

50482002 VOC 50.080 GGGGG Site Remediation 

50482599 VOC 50.080 GGGGG Site Remediation 

50490004 VOC 50.080 GGGGG Site Remediation 

62540001 VOC 62.900 UUUU Cellulose Products 

62540010 VOC 62.900 UUUU Cellulose Products 

62540020 VOC 62.900 UUUU Cellulose Products 

62540021 VOC 62.900 UUUU Cellulose Products 

62540022 VOC 62.900 UUUU Cellulose Products 

62540023 VOC 62.900 UUUU Cellulose Products 

62540024 VOC 62.900 UUUU Cellulose Products 

62540025 VOC 62.900 UUUU Cellulose Products 

62540030 VOC 62.900 UUUU Cellulose Products 

62540040 VOC 62.900 UUUU Cellulose Products 

62540041 VOC 62.900 UUUU Cellulose Products 

62540042 VOC 62.900 UUUU Cellulose Products 

62540050 VOC 62.900 UUUU Cellulose Products 

62580001 VOC 62.900 UUUU Cellulose Products 

62582001 VOC 62.900 UUUU Cellulose Products 

62582002 VOC 62.900 UUUU Cellulose Products 

62582501 VOC 62.900 UUUU Cellulose Products 

62582502 VOC 62.900 UUUU Cellulose Products 

62582503 VOC 62.900 UUUU Cellulose Products 

62582599 VOC 62.900 UUUU Cellulose Products 

64130001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130101 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130110 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130111 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130112 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130125 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130201 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130210 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

145
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-26 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64130211 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64130225 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64131030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64132030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64133030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64180001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64182001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64182002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64182599 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64420001 VOC 62.900 UUUU Cellulose Products 

64420010 VOC 62.900 UUUU Cellulose Products 

64420011 VOC 62.900 UUUU Cellulose Products 

64420012 VOC 62.900 UUUU Cellulose Products 

64420013 VOC 62.900 UUUU Cellulose Products 

64420014 VOC 62.900 UUUU Cellulose Products 

64420015 VOC 62.900 UUUU Cellulose Products 

64420016 VOC 62.900 UUUU Cellulose Products 

64420020 VOC 62.900 UUUU Cellulose Products 

64420021 VOC 62.900 UUUU Cellulose Products 

64420022 VOC 62.900 UUUU Cellulose Products 

64420030 VOC 62.900 UUUU Cellulose Products 

64420031 VOC 62.900 UUUU Cellulose Products 

64420032 VOC 62.900 UUUU Cellulose Products 

64420033 VOC 62.900 UUUU Cellulose Products 

64420034 VOC 62.900 UUUU Cellulose Products 

64420040 VOC 62.900 UUUU Cellulose Products 

64420041 VOC 62.900 UUUU Cellulose Products 

64420042 VOC 62.900 UUUU Cellulose Products 

64430001 VOC 62.900 UUUU Cellulose Products 

64430010 VOC 62.900 UUUU Cellulose Products 

64430011 VOC 62.900 UUUU Cellulose Products 

64430012 VOC 62.900 UUUU Cellulose Products 

64430013 VOC 62.900 UUUU Cellulose Products 

64430014 VOC 62.900 UUUU Cellulose Products 

64430015 VOC 62.900 UUUU Cellulose Products 

64430016 VOC 62.900 UUUU Cellulose Products 

Appendix G Att. 13b - Page Number

146
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-27 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64430017 VOC 62.900 UUUU Cellulose Products 

64430030 VOC 62.900 UUUU Cellulose Products 

64431001 VOC 62.900 UUUU Cellulose Products 

64431010 VOC 62.900 UUUU Cellulose Products 

64431011 VOC 62.900 UUUU Cellulose Products 

64431012 VOC 62.900 UUUU Cellulose Products 

64431013 VOC 62.900 UUUU Cellulose Products 

64431014 VOC 62.900 UUUU Cellulose Products 

64431015 VOC 62.900 UUUU Cellulose Products 

64431016 VOC 62.900 UUUU Cellulose Products 

64431017 VOC 62.900 UUUU Cellulose Products 

64431030 VOC 62.900 UUUU Cellulose Products 

64450001 VOC 62.900 UUUU Cellulose Products 

64450010 VOC 62.900 UUUU Cellulose Products 

64450011 VOC 62.900 UUUU Cellulose Products 

64450012 VOC 62.900 UUUU Cellulose Products 

64450013 VOC 62.900 UUUU Cellulose Products 

64450014 VOC 62.900 UUUU Cellulose Products 

64450020 VOC 62.900 UUUU Cellulose Products 

64450021 VOC 62.900 UUUU Cellulose Products 

64450022 VOC 62.900 UUUU Cellulose Products 

64450030 VOC 62.900 UUUU Cellulose Products 

64450031 VOC 62.900 UUUU Cellulose Products 

64450032 VOC 62.900 UUUU Cellulose Products 

64450033 VOC 62.900 UUUU Cellulose Products 

64450034 VOC 62.900 UUUU Cellulose Products 

64450035 VOC 62.900 UUUU Cellulose Products 

64450036 VOC 62.900 UUUU Cellulose Products 

64450040 VOC 62.900 UUUU Cellulose Products 

64450041 VOC 62.900 UUUU Cellulose Products 

64450042 VOC 62.900 UUUU Cellulose Products 

64450050 VOC 62.900 UUUU Cellulose Products 

64450051 VOC 62.900 UUUU Cellulose Products 

64450052 VOC 62.900 UUUU Cellulose Products 

64450053 VOC 62.900 UUUU Cellulose Products 

64450060 VOC 62.900 UUUU Cellulose Products 

64450061 VOC 62.900 UUUU Cellulose Products 

64450062 VOC 62.900 UUUU Cellulose Products 

64520001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520023 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520031 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520032 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64520041 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

147
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-28 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64521011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521023 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64521041 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610031 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610032 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610041 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610050 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610101 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610110 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610111 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610112 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610120 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610121 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610122 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610130 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610131 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610132 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610140 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610141 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610142 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610143 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610150 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610201 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610210 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610211 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610212 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610220 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610221 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610222 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610230 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610231 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610232 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610240 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610241 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610242 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610250 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610301 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610310 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610311 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

148
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-29 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64610312 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610320 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610321 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610322 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610330 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610331 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610332 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610340 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64610350 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615023 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64615030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620013 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620016 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620017 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620018 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620021 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620026 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620027 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620031 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620032 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620033 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620034 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620035 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620036 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620037 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64620038 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630016 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630026 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630035 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

149
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-30 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64630041 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630042 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630050 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630051 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630052 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630053 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630080 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630081 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630082 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64630083 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631012 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631016 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631025 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631026 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631050 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631051 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631052 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631053 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631080 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631081 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631082 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64631083 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632015 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632016 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632040 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632041 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632042 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632050 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632051 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632052 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632053 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632080 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632081 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632082 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64632083 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64680001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64682001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64682002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64682501 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64682502 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64682599 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

150
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-31 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64820010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64821001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64821010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64822001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64822010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64823001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64823010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64824001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64824010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64880001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64882001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64882002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64882599 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

64920001 VOC 62.900 UUUU Cellulose Products 

64920010 VOC 62.900 UUUU Cellulose Products 

64920011 VOC 62.900 UUUU Cellulose Products 

64920012 VOC 62.900 UUUU Cellulose Products 

64920013 VOC 62.900 UUUU Cellulose Products 

64920020 VOC 62.900 UUUU Cellulose Products 

64920021 VOC 62.900 UUUU Cellulose Products 

64920022 VOC 62.900 UUUU Cellulose Products 

64920030 VOC 62.900 UUUU Cellulose Products 

64920031 VOC 62.900 UUUU Cellulose Products 

64920032 VOC 62.900 UUUU Cellulose Products 

64920033 VOC 62.900 UUUU Cellulose Products 

64920034 VOC 62.900 UUUU Cellulose Products 

64930001 VOC 62.900 UUUU Cellulose Products 

64930010 VOC 62.900 UUUU Cellulose Products 

64930011 VOC 62.900 UUUU Cellulose Products 

64930012 VOC 62.900 UUUU Cellulose Products 

64930020 VOC 62.900 UUUU Cellulose Products 

64930021 VOC 62.900 UUUU Cellulose Products 

64930030 VOC 62.900 UUUU Cellulose Products 

64930031 VOC 62.900 UUUU Cellulose Products 

64930035 VOC 62.900 UUUU Cellulose Products 

64930040 VOC 62.900 UUUU Cellulose Products 

64930041 VOC 62.900 UUUU Cellulose Products 

64930045 VOC 62.900 UUUU Cellulose Products 

64930050 VOC 62.900 UUUU Cellulose Products 

64931001 VOC 62.900 UUUU Cellulose Products 

64931010 VOC 62.900 UUUU Cellulose Products 

64931011 VOC 62.900 UUUU Cellulose Products 

64931012 VOC 62.900 UUUU Cellulose Products 

64931020 VOC 62.900 UUUU Cellulose Products 

64931021 VOC 62.900 UUUU Cellulose Products 

64931022 VOC 62.900 UUUU Cellulose Products 

64931030 VOC 62.900 UUUU Cellulose Products 

64931031 VOC 62.900 UUUU Cellulose Products 

64931032 VOC 62.900 UUUU Cellulose Products 

64931040 VOC 62.900 UUUU Cellulose Products 

64931041 VOC 62.900 UUUU Cellulose Products 

64931050 VOC 62.900 UUUU Cellulose Products 

Appendix G Att. 13b - Page Number

151
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-32 

MACTEC Federal Programs, Inc. 

SCC PLLTCODE CE_MACT SUBPART MACT CATEGORY DESCRIPTION 

64980001 VOC 62.900 UUUU Cellulose Products 

64982001 VOC 62.900 UUUU Cellulose Products 

64982002 VOC 62.900 UUUU Cellulose Products 

64982599 VOC 62.900 UUUU Cellulose Products 

65135001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

65140001 VOC 44.500 YY Generic MACT (Cyanide) 

65140010 VOC 44.500 YY Generic MACT (Cyanide) 

65140011 VOC 44.500 YY Generic MACT (Cyanide) 

65140012 VOC 44.500 YY Generic MACT (Cyanide) 

65140013 VOC 44.500 YY Generic MACT (Cyanide) 

65140014 VOC 44.500 YY Generic MACT (Cyanide) 

65140015 VOC 44.500 YY Generic MACT (Cyanide) 

65140016 VOC 44.500 YY Generic MACT (Cyanide) 

65140017 VOC 44.500 YY Generic MACT (Cyanide) 

65140018 VOC 44.500 YY Generic MACT (Cyanide) 

65140030 VOC 44.500 YY Generic MACT (Cyanide) 

68430001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430030 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430031 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68430032 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445013 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445020 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445022 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445101 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68445201 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68510001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68510010 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68510011 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68580001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68582001 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68582002 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

68582599 VOC 66.200 FFFF Misc. Organic Chemical Production and Proc 

Appendix G Att. 13b - Page Number

152
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-33 

MACTEC Federal Programs, Inc. 

Table B-5 NonEGU Source Shutdowns 

FIPS SITE ID FACILTY NAME EU ID UNIT DESCRIPTION 

10003 1000300021 SUNCO INC R M 001 BOILER #1 

10003 1000300021 SUNCO INC R M 002 BOILER #2 

10003 1000300021 SUNCO INC R M 003 BOILER #3 

10003 1000300016 MOTIVA ENTERPRISES LLC 072 METHANOL PLT HTR 41-H-1 

10003 1000300004 WILMINGTON PIECE DYE CO ALL ALL 

10003 1000300032 GENERAL CHEMICAL CORPORATION ALL ALL 

10003 1000300074 METACHEM PRODUCTS LLC ALL ALL 

10003 1000300127 VPI FILM LLC ALL ALL 

10003 1000300129 LAFARGE NORTH AMERICA INC ALL ALL 

10003 1000300350 KANEKA DELAWARE CORPORATION ALL ALL 

25001 1200202 PARTYLITE WORLDWIDE ALL ALL 

25001 1200614 BOURNE LANDFILL ALL ALL 

25003 1170002 ADVANCED INFORMATION ALL ALL 

25003 1170005 CATAMOUNT PELLET FUE ALL ALL 

25003 1170048 SPRAGUE NORTH ADAMS ALL ALL 

25003 1170056 BERKSHIRE GAS STOCKB ALL ALL 

25003 1170078 MACDERMID GRAPHIC AR ALL ALL 

25003 1170091 LANE CONSTRUCTION CO ALL ALL 

25005 1200009 TEXAS INSTRUMENTS ALL ALL 

25005 1200031 CONDEA VISTA CO ALL ALL 

25005 1200036 ELKAY REVERE CORP ALL ALL 

25005 1200037 AEROVOX INCORPORATED ALL ALL 

25005 1200065 ROSEMAR SILVER COMPA ALL ALL 

25005 1200080 ATTLEBORO REFINING C ALL ALL 

25005 1200116 STEDRO TEXTILES ALL ALL 

25005 1200138 CLIFTEX CORPORATION ALL ALL 

25005 1200169 PAUL DEVER STATE SCH ALL ALL 

25005 1200209 PHARMACY SERVICE COR ALL ALL 

25005 1200216 BRISTOL COUNTY JAIL ALL ALL 

25005 1200235 SEA WATCH INTERNATIO ALL ALL 

25005 1200393 OLSONS GREENHOUSES ALL ALL 

25005 1200468 AA WILL MATERIALS-FR ALL ALL 

25005 1200498 CRAPO HILL LANDFILL ALL ALL 

25005 1200510 KREW INCORPORATED ALL ALL 

25005 1200513 AEROVOX INCORPORATED ALL ALL 

25005 1200542 LALLY COLUMN CORP ALL ALL 

25005 1200673 HOMELAND BUILDERS ALL ALL 

25005 1200824 JUSTIN CLOTHING CO ALL ALL 

25005 1200880 VELVET DRIVE TRANSMI ALL ALL 

Appendix G Att. 13b - Page Number

153
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-34 

MACTEC Federal Programs, Inc. 

FIPS SITE ID FACILTY NAME EU ID UNIT DESCRIPTION 

25005 1192308 INTERSTATE MAT & RUB ALL ALL 

25009 1210057 COASTAL METAL FINISH ALL ALL 

25009 1210058 AMESBURY CHAIR ALL ALL 

25009 1210075 HAMPSHIRE FABRICS ALL ALL 

25009 1210099 WASTE MANAGEMENT HUN ALL ALL 

25009 1210110 CUSTOM INDUSTRIES IN ALL ALL 

25009 1210114 SAGAMORE INDUSTRIAL ALL ALL 

25009 1210143 LABELS INC ALL ALL 

25009 1210154 NEWARK ATLANTIC PAPE ALL ALL 

25009 1210208 TEK COATING COMPANY ALL ALL 

25009 1210209 NATIONAL NORTHEAST ALL ALL 

25009 1210223 STARENSIER INC ALL ALL 

25009 1210400 SANMINA CORPORATION ALL ALL 

25009 1210401 COVANTA HAVERHILL IN ALL ALL 

25009 1210404 TEKE FURNITURE RESTO ALL ALL 

25009 1190756 PERMAIR LEATHERS INC ALL ALL 

25009 1190842 SLB SNACKS INC ALL ALL 

25009 1190983 SALEM OIL & GREASE C ALL ALL 

25009 1191036 JCR ELECTRONICS ALL ALL 

25009 1195900 LEPAGES INC ALL ALL 

25013 0420008 DELUXE FINANCIAL ALL ALL 

25013 0420010 FRYE COPYSYSTEMS INC ALL ALL 

25013 0420013 JAHN FOUNDRY CORPORA ALL ALL 

25013 0420052 APW/WRIGHT LINE ALL ALL 

25013 0420130 KODAK POLYCHROME GRA ALL ALL 

25013 0420175 FIBERMARK DSI ALL ALL 

25013 0420218 SPRINGFIELD PRINTING ALL ALL 

25013 0420252 KODAK POLYCHROME GRA ALL ALL 

25013 0420528 NATIONAL METAL INDUS ALL ALL 

25015 0420060 BERKSHIRE GAS HATFIE ALL ALL 

25015 0420105 INDUSTRIAL POWER SER ALL ALL 

25015 0420170 TECHALLOY COMPANY IN ALL ALL 

25015 0420424 MAGNAT MACHINETECH I ALL ALL 

25015 0420463 INDUSTRIAL PROP OF E ALL ALL 

25015 0420540 GENERAL CABLE CORP ALL ALL 

25015 0420614 REXAM IMAGE PRODUCTS ALL ALL 

25017 1210013 MERRIMACK MAGNETICS ALL ALL 

25017 1210050 MAJILITE MFG INC ALL ALL 

25017 1210064 FINISH UNLIMITED INC ALL ALL 

25017 1190080 MASS BROKEN STONE CO ALL ALL 

25017 1210127 USM CORPORATION ALL ALL 

Appendix G Att. 13b - Page Number

154
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-35 

MACTEC Federal Programs, Inc. 

FIPS SITE ID FACILTY NAME EU ID UNIT DESCRIPTION 

25017 1210147 UMASS LOWELL-RESIDEN ALL ALL 

25017 1210182 JOAN FABRICS CORP ALL ALL 

25017 1190203 SC WAKEFIELD 200 ALL ALL 

25017 1190212 OLYMPUS SPECIALTY HO ALL ALL 

25017 1190258 ROYAL INSTITUTIONAL ALL ALL 

25017 1210334 T&T INDUSTRIAL ALL ALL 

25017 1190465 PRINTED CIRCUIT CORP ALL ALL 

25017 1190611 GEORGE MEADE FOUNDRY ALL ALL 

25017 1190734 NEW ENGLAND CONFECTI ALL ALL 

25017 1180794 SCHOTT CML FIBEROPTI ALL ALL 

25017 1190984 SUNGARD AVAILABILITY ALL ALL 

25017 1191008 RAYTHEON SYSTEMS CO ALL ALL 

25017 1191217 BOSTON SCIENTIFIC CO ALL ALL 

25017 1191267 AGFA DIVISION OF BAY ALL ALL 

25017 1191351 MIT EDUCATIONAL FACI ALL ALL 

25017 1191389 LONGVIEW FIBRE COMPA ALL ALL 

25017 1191534 SWISSTRONICS INCORPO ALL ALL 

25017 1191653 FOCAL INCORPORATED ALL ALL 

25017 1191668 LEE PRODUCTS COMPANY ALL ALL 

25017 1191735 TYCO ELECTRONICS COR ALL ALL 

25017 1191897 GENZYME CORPORATION ALL ALL 

25017 1194001 WF WOOD INC ALL ALL 

25017 1194010 RR DONNELLEY & SONS ALL ALL 

25017 1214012 PERFORMANCE CORRUGAT ALL ALL 

25021 1190246 SOUTHWOOD COMMUNITY ALL ALL 

25021 1190313 INNOVATIVE MEMBRANE ALL ALL 

25021 1180359 BEVILACQUA PAVING CO ALL ALL 

25021 1200515 FOXBOROUGH REALTY AS ALL ALL 

25021 1200616 PLAINVILLE GENERATIN ALL ALL 

25021 1190670 RAYTHEON ELECTRONIC ALL ALL 

25021 1190714 TEVA PHARMACEUTICAL ALL ALL 

25021 1190962 NIDEC AMERICA CORPOR ALL ALL 

25021 1191562 BARCLAY HOUSE THE ALL ALL 

25021 1191726 MWRA QUINCY PS ALL ALL 

25021 1192130 CURRY WOODWORKING IN ALL ALL 

25021 1199000 MEDFIELD STATE HOSPI ALL ALL 

25023 1200637 FRANKLIN FIXTURES IN ALL ALL 

25023 1200698 CRANBERRY GRAPHICS I ALL ALL 

25023 1192101 GTR FINISHING CORPOR ALL ALL 

25023 1192109 ALGER CORPORATION TH ALL ALL 

25023 1192210 IMPERIA CORPORATION ALL ALL 

Appendix G Att. 13b - Page Number

155
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix B – Non EGU Point Source Control Factors Page B-36 

MACTEC Federal Programs, Inc. 

FIPS SITE ID FACILTY NAME EU ID UNIT DESCRIPTION 

25023 1199994 TEST-RADIUS-FITZGERA ALL ALL 

25025 1190035 BOSTON WATER & SEWER ALL ALL 

25025 1190057 NEPONSET RIVER VALLE ALL ALL 

25025 1190101 UNIFIRST CORP ALL ALL 

25025 1190357 DAMRELL EWER PARTNER ALL ALL 

25025 1190478 WINTHROP COMMUNITY H ALL ALL 

25025 1190649 ZAPCO READVILLE COGE ALL ALL 

25025 1190808 PUBLIC HEALTH COMMUN ALL ALL 

25025 1191551 BEACON CAPITAL PARTN ALL ALL 

25025 1191566 NEW ENGLAND TRAWLER ALL ALL 

25025 1191621 FEDERAL MOGUL FRICTI ALL ALL 

25025 1191662 EQUITY OFFICE ALL ALL 

25025 1191956 CHANNEL CENTER:PARCE ALL ALL 

25025 1195596 SYNTHON IND INCORPOR ALL ALL 

25027 1180010 CANTERBURY TOWERS ALL ALL 

25027 1180014 ER BUCK CHAIR COMPAN ALL ALL 

25027 1180029 GENERAL ELECTRIC FIT ALL ALL 

25027 1180091 ANGLO FABRICS COMPAN ALL ALL 

25027 1180100 ZAPCO ENERGY TACTICS ALL ALL 

25027 1180111 CINCINATTI MILACRON ALL ALL 

25027 1180114 NEW ENGLAND PLATING ALL ALL 

25027 1180129 GF WRIGHT STEEL & WI ALL ALL 

25027 1180132 STANDARDFOUNDRY ALL ALL 

25027 1180174 WORCESTER TOOL & STA ALL ALL 

25027 1180203 WORCESTER COUNTY HOS ALL ALL 

25027 1180244 HI TECH METALS & FIN ALL ALL 

25027 1180340 GHM INDUSTRIES INC ALL ALL 

25027 1180353 ADVANCED MICROSENSOR ALL ALL 

25027 1180355 NEWARK AMERICA ALL ALL 

25027 1180373 ZYGO TERAOPTIX ALL ALL 

25027 1180389 ETHAN ALLEN-DUDLEY ALL ALL 

25027 1180439 INLAND PAPERBOARD & ALL ALL 

25027 1180484 NELMOR COMPANY ALL ALL 

25027 1180518 JAMESBURY INCORPORAT ALL ALL 

25027 1180556 M&H TIRE CO INC ALL ALL 

25027 1180568 CROFT CORPORATION ALL ALL 

25027 1180796 LINCOLN PLAZA CENTER ALL ALL 

25027 1180994 COZ PLASTICS INC ALL ALL 

25027 1181045 WORCESTER TAPER PIN ALL ALL 

33011 3301100093 BATESVILLE MANUFACTURING ALL ALL 

33015 3301500058 VENTURE SEABROOK ALL ALL 

Appendix G Att. 13b - Page Number

156
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix C – Area Source Growth Factors Page C-1 

MACTEC Federal Programs, Inc. 

Appendix C – Area Source Growth Factors 

Table C-1 Area Source Growth Factors by SCC Code 

See Electronic File: MANE-VU_Area_gf_scc.xls 

This table contains xx,xxx records with area source growth factors by county and SCC. The format 

for the tables is as follows: 

Column A – County FIPS code 

Column B – Source Classification Code (SCC) 

Column C – EGAS_02_09 this is the EGAS 5.0 factor for projecting from 2002 to 2009 

Column D – AEO5_02_09 this is the DOE AEO 2005 factor for projecting from 2002 to 2009 

Column E – ST_02_09 this is the state-supplied factor for projecting from 2002 to 2009 

Column F – GF_02_09 this is the final factor actually used for projecting from 2002 to 2009 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column G – EGAS_02_12 this is the EGAS 5.0 factor for projecting from 2002 to 2012 

Column H – AEO5_02_12 this is the DOE AEO 2005 factor for projecting from 2002 to 2012 

Column I – ST_02_12 this is the state-supplied factor for projecting from 2002 to 2012 

Column J – GF_02_09 this is the final factor actually used for projecting from 2002 to 2012 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column K – EGAS_02_18 this is the EGAS 5.0 factor for projecting from 2002 to 2018 

Column J – AEO5_02_18 this is the DOE AEO 2005 factor for projecting from 2002 to 2018 

Column M– ST_02_18 this is the state-supplied factor for projecting from 2002 to 2018 

Column N – GF_02_09 this is the final factor actually used for projecting from 2002 to 2012 (it 

is the state-supplied factor, if available; if no state-supplied factor, then it is the AEO2005 

factor; if no AEO2005 factor, then it is the default EGAS 5.0 factor) 

Column O – SCC description 

Appendix G Att. 13b - Page Number

157
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-1 

MACTEC Federal Programs, Inc. 

Appendix D – Area Source Control Factors 

Table D-1 Area Source Control Factors for OTC VOC Model Rules 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

AIM Coatings 

09 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

09 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

10 2401002000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural Coatings 

- Solvent-based;Surface Coating 

10 2401003000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural Coatings 

- Water-based;Surface Coating 

10 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

10 2401102000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings- Solve;Surface Coating 

10 2401103000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings- Water;Surface Coating 

11 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

11 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

11 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

11 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

23 2401001000 VOC 29.50 29.50 29.50 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

23 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

23 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

23 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

24 2401002000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural Coatings 

- Solvent-based;Surface Coating 

24 2401003000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural Coatings 

- Water-based;Surface Coating 

24 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

24 2401008999 VOC 31.00 31.00 31.00 Solvents: NEC;Traffic Markings;Surface 

Coating 

24 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

24 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

25 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

25 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

25 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

Appendix G Att. 13b - Page Number

158
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-2 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

25 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

33 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

33 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

33 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

33 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

34 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

34 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

34 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

34 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

36 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

36 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

42 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

42 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

42 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

42 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

44 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

44 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

50 2401001000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Architectural 

Coatings;Surface Coating 

50 2401008000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Traffic 

Markings;Surface Coating 

50 2401100000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Industrial 

Maintenance Coatings;Surface Coating 

50 2401200000 VOC 31.00 31.00 31.00 Total: All Solvent Types;Other Special Purpose 

Coatings;Surface Coating 

Consumer Products 

09 2465000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Products/Processes;Miscellaneous Nonindustrial: Consumer 

10 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

10 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

Appendix G Att. 13b - Page Number

159
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-3 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

10 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

10 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

10 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

10 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

10 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

11 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

11 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

23 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

23 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

23 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

23 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

23 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

Appendix G Att. 13b - Page Number

160
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-4 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

23 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

23 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

24 2465000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Products/Processes;Miscellaneous Nonindustrial: Consumer 

25 2460000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Processes;Miscellaneous Non-industrial: 

Consumer and Commerc 

33 2460000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Processes;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

34 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

34 2465000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Products/Processes;Miscellaneous Nonindustrial: Consumer 

36 2460000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Processes;Miscellaneous Non-industrial: 

Consumer and Commerc 

42 2465000000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All 

Products/Processes;Miscellaneous Nonindustrial: Consumer 

44 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

44 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

44 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

Appendix G Att. 13b - Page Number

161
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-5 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

44 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

44 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

44 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

44 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460100000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Personal Care 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460200000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Household 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460400000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Automotive 

Aftermarket Products;Miscellaneous Nonindustrial: Consumer and Commerc 

50 2460500000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Coatings and 

Related Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460600000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All Adhesives and 

Sealants;Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460800000 VOC 14.20 14.20 14.20 Total: All Solvent Types;All FIFRA Related 

Products;Miscellaneous Non-industrial: 

Consumer and Commerc 

50 2460900000 VOC 14.20 14.20 14.20 Total: All Solvent Types;Miscellaneous 

Products (Not Otherwise 

Covered);Miscellaneous Non-industrial: 

Consumer and Commerc 

Mobile Equipment Repair and Refinishing 

09 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

10 2401005500 VOC 38.00 38.00 38.00 Surface Preparation Solvents;Auto Refinishing: 

SIC 7532;Surface Coating 

10 2401005600 VOC 38.00 38.00 38.00 Primers;Auto Refinishing: SIC 7532;Surface 

Coating 

10 2401005700 VOC 38.00 38.00 38.00 Top Coats;Auto Refinishing: SIC 7532;Surface 

Coating 

10 2401005800 VOC 38.00 38.00 38.00 Clean-up Solvents;Auto Refinishing: SIC 

7532;Surface Coating 

11 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

23 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

24 2401005000 VOC 0.00 0.00 0.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

Appendix G Att. 13b - Page Number

162
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-6 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

25 2401005000 VOC 0.00 0.00 0.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

33 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

34 2401005000 VOC 19.00 19.00 19.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

36 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

42 2401005000 VOC 0.00 0.00 0.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

44 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

50 2401005000 VOC 38.00 38.00 38.00 Total: All Solvent Types;Auto Refinishing: SIC 

7532;Surface Coating 

Solvent Cleaning Operations 

09 2415000000 VOC 66.00 66.00 66.00 Total: All Solvent Types;All Processes/All 

Industries;Degreasing 

23 2415000000 VOC 66.00 66.00 66.00 Total: All Solvent Types;All Processes/All 

Industries;Degreasing 

23 2415030000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Electronic and Other 

Elec. (SIC 36): All Processes;Degreasing 

23 2415045000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Miscellaneous 

Manufacturing (SIC 39): All 

Processe;Degreasing 

23 2415065000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Auto Repair Services 

(SIC 75): All Processes;Degreasing 

23 2415300000 VOC 66.00 66.00 66.00 Total: All Solvent Types;All Industries: Cold 

Cleaning;Degreasing 

25 2415000000 VOC 7.00 7.00 7.00 Total: All Solvent Types;All Industries: Cold 

Cleaning;Degreasing 

33 2415000000 VOC 66.00 66.00 66.00 Total: All Solvent Types;All Industries: Cold 

Cleaning;Degreasing 

34 2415000000 VOC 17.00 17.00 17.00 Total: All Solvent Types;All Processes/All 

Industries;Degreasing 

36 2415020000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Fabricated Metal 

Products (SIC 34): All Processes;Degreasing 

36 2415025000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Industrial Machinery 

and Equipment (SIC 35): All P;Degreasing 

36 2415035000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Transportation 

Equipment (SIC 37): All Processes;Degreasing 

36 2415045000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Miscellaneous 

Manufacturing (SIC 39): All 

Processe;Degreasing 

36 2415055000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Automotive Dealers 

(SIC 55): All Processes;Degreasing 

36 2415060000 VOC 66.00 66.00 66.00 Total: All Solvent Types;Miscellaneous Repair 

Services (SIC 76): All Proces;Degreasing 

44 2415000000 VOC 66.00 66.00 66.00 Total: All Solvent Types;All Processes/All 

Industries;Degreasing 

 

Appendix G Att. 13b - Page Number

163
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-7 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Portable Fuel Containers 

09 2501060300 VOC 41.3 63.8 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

10 2501011010 VOC 41.3 63.8 75.0 Vapor Losses;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

10 2501011011 VOC 41.3 63.8 75.0 Permeation;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

10 2501011012 VOC 41.3 63.8 75.0 Diurnal;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

10 2501011015 VOC 41.3 63.8 75.0 Spillage;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

10 2501011016 VOC 41.3 63.8 75.0 Transport;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

10 2501012010 VOC 41.3 63.8 75.0 Vapor Losses;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

10 2501012011 VOC 41.3 63.8 75.0 Permeation;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

10 2501012012 VOC 41.3 63.8 75.0 Diurnal;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

10 2501012015 VOC 41.3 63.8 75.0 Spillage;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

10 2501012016 VOC 41.3 63.8 75.0 Transport;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

11 2501011011 VOC 41.3 63.8 75.0 Permeation;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

11 2501011012 VOC 41.3 63.8 75.0 Diurnal;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

11 2501011016 VOC 41.3 63.8 75.0 Transport;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

11 2501012011 VOC 41.3 63.8 75.0 Permeation;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

11 2501012012 VOC 41.3 63.8 75.0 Diurnal;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Appendix G Att. 13b - Page Number

164
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-8 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Storage 

11 2501012016 VOC 41.3 63.8 75.0 Transport;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

23 2501060300 VOC 41.3 63.8 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

24 2501011011 VOC 48.8 71.3 75.0 Permeation;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

24 2501011012 VOC 48.8 71.3 75.0 Diurnal;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

24 2501011016 VOC 48.8 71.3 75.0 Transport;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

24 2501012011 VOC 48.8 71.3 75.0 Permeation;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

24 2501012012 VOC 48.8 71.3 75.0 Diurnal;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

24 2501012016 VOC 48.8 71.3 75.0 Transport;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

25 2501011000 VOC 18.8 41.3 75.0 ;; 

25 2501012000 VOC 18.8 41.3 75.0 ;; 

33 2501060300 VOC 26.3 48.8 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

34 2501000120 VOC 33.8 56.3 75.0 Gasoline;All Storage Types: Breathing 

Loss;Petroleum and Petroleum Product Storage 

36 2501011011 VOC 48.8 71.3 75.0 Permeation;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

36 2501011012 VOC 48.8 71.3 75.0 Diurnal;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

36 2501011016 VOC 48.8 71.3 75.0 Transport;Portable Containers: 

Residential;Petroleum and Petroleum Product 

Storage 

36 2501012011 VOC 48.8 71.3 75.0 Permeation;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

36 2501012012 VOC 48.8 71.3 75.0 Diurnal;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

Appendix G Att. 13b - Page Number

165
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-9 

MACTEC Federal Programs, Inc. 

FIPSST SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

36 2501012016 VOC 48.8 71.3 75.0 Transport;Portable Containers: 

Commercial;Petroleum and Petroleum Product 

Storage 

42 2501060300 VOC 48.8 71.3 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

44 2501060300 VOC 18.8 41.3 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

50 2501060300 VOC 18.8 41.3 75.0 Total;Portable Containers: Residential & 

Com;Petroleum and Petroleum Product Storage 

Appendix G Att. 13b - Page Number

166
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-10 

MACTEC Federal Programs, Inc. 

Table D-2 Area Source Control Factors for On-Board Vapor Recovery 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

09001 2501060101 VOC 23.81 28.57 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09001 2501060102 VOC 23.81 28.57 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09003 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09003 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09005 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09005 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09007 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09007 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09009 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09009 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09011 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09011 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09013 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09013 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

09015 2501060101 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

09015 2501060102 VOC 23.81 33.33 38.10 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

10001 2501060100 VOC 40.54 48.65 56.76 Stage 2: Total;Gasoline Service Stations 

10003 2501060100 VOC 40.54 48.65 56.76 Stage 2: Total;Gasoline Service Stations 

10005 2501060100 VOC 40.54 48.65 56.76 Stage 2: Total;Gasoline Service Stations 

11001 2501060100 VOC 40.54 48.65 56.76 Stage 2: Total;Gasoline Service Stations 

23001 2501060100 VOC 53.68 67.65 79.41 Stage 2: Total;Gasoline Service Stations 

23003 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23005 2501060100 VOC 28.57 33.33 42.86 Stage 2: Total;Gasoline Service Stations 

23007 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23009 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23011 2501060100 VOC 53.68 67.65 79.41 Stage 2: Total;Gasoline Service Stations 

23013 2501060100 VOC 53.68 67.65 79.41 Stage 2: Total;Gasoline Service Stations 

23015 2501060100 VOC 53.68 67.65 79.41 Stage 2: Total;Gasoline Service Stations 

23017 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23019 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23021 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23023 2501060100 VOC 28.57 33.33 42.86 Stage 2: Total;Gasoline Service Stations 

23025 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23027 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23029 2501060100 VOC 53.80 68.35 79.75 Stage 2: Total;Gasoline Service Stations 

23031 2501060100 VOC 28.57 33.33 42.86 Stage 2: Total;Gasoline Service Stations 

24001 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

Appendix G Att. 13b - Page Number

167
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-11 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

24003 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24005 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24009 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24011 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24013 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24015 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24017 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24019 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24021 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24023 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24025 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24027 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24029 2501060100 VOC 53.53 68.24 80.00 Stage 2: Total;Gasoline Service Stations 

24031 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24033 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

24035 2501060100 VOC 53.53 68.24 80.00 Stage 2: Total;Gasoline Service Stations 

24037 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24039 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24041 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24043 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24045 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24047 2501060100 VOC 54.24 68.36 80.23 Stage 2: Total;Gasoline Service Stations 

24510 2501060100 VOC 26.09 34.78 43.48 Stage 2: Total;Gasoline Service Stations 

25001 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25003 2501060102 VOC 38.24 50.00 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25005 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25007 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25009 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25011 2501060102 VOC 38.24 50.00 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25013 2501060102 VOC 38.24 50.00 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25015 2501060102 VOC 38.24 50.00 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25017 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25019 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25021 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25023 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25025 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

25027 2501060102 VOC 38.24 47.06 55.88 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

33001 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

33003 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

33005 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

33007 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

Appendix G Att. 13b - Page Number

168
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-12 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

33009 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

33011 2501060100 VOC 38.24 50.00 55.88 Stage 2: Total;Gasoline Service Stations 

33013 2501060100 VOC 38.24 50.00 55.88 Stage 2: Total;Gasoline Service Stations 

33015 2501060100 VOC 38.24 50.00 55.88 Stage 2: Total;Gasoline Service Stations 

33017 2501060100 VOC 38.24 50.00 55.88 Stage 2: Total;Gasoline Service Stations 

33019 2501060100 VOC 53.75 68.13 80.00 Stage 2: Total;Gasoline Service Stations 

34001 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34003 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34005 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34007 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34009 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34011 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34013 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34015 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34017 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34019 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34021 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34023 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34025 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34027 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34029 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34031 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34033 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34035 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34037 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34039 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

34041 2501060100 VOC 38.89 47.22 58.33 Stage 2: Total;Gasoline Service Stations 

36001 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36003 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36005 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36007 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36009 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36011 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36013 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36015 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36017 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36019 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36021 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36023 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36025 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36027 2501060100 VOC 53.80 67.72 79.75 Stage 2: Total;Gasoline Service Stations 

36029 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36031 2501060100 VOC 53.57 67.86 79.76 Stage 2: Total;Gasoline Service Stations 

36033 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36035 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36037 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36039 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36041 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36043 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36045 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

Appendix G Att. 13b - Page Number

169
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-13 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

36047 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36049 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36051 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36053 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36055 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36057 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36059 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36061 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36063 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36065 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36067 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36069 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36071 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36073 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36075 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36077 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36079 2501060100 VOC 53.80 67.72 79.75 Stage 2: Total;Gasoline Service Stations 

36081 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36083 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36085 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36087 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36089 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36091 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36093 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36095 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36097 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36099 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36101 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36103 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36105 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36107 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36109 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36111 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36113 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36115 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36117 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36119 2501060100 VOC 34.48 41.38 51.72 Stage 2: Total;Gasoline Service Stations 

36121 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

36123 2501060100 VOC 54.29 68.57 80.00 Stage 2: Total;Gasoline Service Stations 

42001 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42003 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42005 2501060102 VOC 26.09 34.78 39.13 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42007 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42009 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42011 2501060101 VOC 26.09 34.78 39.13 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42013 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Appendix G Att. 13b - Page Number

170
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-14 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Stations 

42015 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42017 2501060102 VOC 30.43 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42019 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42021 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42023 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42025 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42027 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42029 2501060102 VOC 30.43 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42031 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42033 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42035 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42037 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42039 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42041 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42043 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42045 2501060102 VOC 30.43 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42047 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42049 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42051 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42053 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42055 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42057 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42059 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42061 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42063 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42065 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42067 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42069 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42071 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42073 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Appendix G Att. 13b - Page Number

171
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-15 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Stations 

42075 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42077 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42079 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42081 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42083 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42085 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42087 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42089 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42091 2501060102 VOC 30.43 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42093 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42095 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42097 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42099 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42101 2501060102 VOC 30.43 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42103 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42105 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42107 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42109 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42111 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42113 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42115 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42117 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42119 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42121 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42123 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42125 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42127 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42129 2501060102 VOC 26.09 34.78 43.48 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

42131 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

42133 2501060101 VOC 53.98 68.75 80.11 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Appendix G Att. 13b - Page Number

172
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-16 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Stations 

44001 2501060000 VOC 38.24 50.00 55.88 Total: All Gasoline/All Processes;Gasoline Service Stations 

44003 2501060000 VOC 38.24 50.00 55.88 Total: All Gasoline/All Processes;Gasoline Service Stations 

44005 2501060000 VOC 38.24 50.00 55.88 Total: All Gasoline/All Processes;Gasoline Service Stations 

44007 2501060000 VOC 38.24 50.00 55.88 Total: All Gasoline/All Processes;Gasoline Service Stations 

44009 2501060000 VOC 38.24 50.00 55.88 Total: All Gasoline/All Processes;Gasoline Service Stations 

50001 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50001 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50001 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50003 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50003 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50003 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50005 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50005 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50005 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50007 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50007 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50007 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50009 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50009 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50009 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50011 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50011 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50011 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50013 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50013 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50013 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50015 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50015 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50015 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50017 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50017 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50017 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50019 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50019 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50019 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50021 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Appendix G Att. 13b - Page Number

173
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-17 

MACTEC Federal Programs, Inc. 

FIPS SCC PLLTCODE CE_2009 CE_2012 CE_2018 SCC Description 

Stations 

50021 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50021 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50023 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50023 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50023 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50025 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50025 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50025 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

50027 2501060101 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Uncontrolled;Gasoline Service 

Stations 

50027 2501060102 VOC 37.14 48.57 57.14 Stage 2: Displacement Loss/Controlled;Gasoline Service 

Stations 

50027 2501060103 VOC 37.14 48.57 57.14 Stage 2: Spillage;Gasoline Service Stations 

Appendix G Att. 13b - Page Number

174
Draft Final TSD for MANE-VU Emission Projections December 7, 2006 

Appendix D –Area Source Control Factors Page D-18 

MACTEC Federal Programs, Inc. 

Table D-3 Area Source Growth/Control Factors for Residential Wood Combustion 

 Growth and Control Factor 

SCC SCC Description Assumptions 

2002-

2009 

2002-

2012 

2002-

2018 

2104008000 Total: Woodstoves and Fireplaces 1 - 0.01056*(Year-2002) 

(Assumes 19.4% fireplaces 

71.6%old woodstoves 

9.1%new woodstoves) 

0.926 0.894 0.831 

2104008001 Fireplaces: General Increase 1%/yr: 1 + 0.01*(Year-2002) 1.070 1.100 1.160 

2104008002 Fireplaces: Insert; non-EPA 

certified 

Decrease 2%/yr: 1 - 0.02*(Year-2002) 0.860 0.800 0.680 

2104008003 Fireplaces: Insert; EPA certified; 

non-catalytic 

Increase 2%/yr: 1 + 0.02*(Year-2002) 1.140 1.200 1.320 

2104008004 Fireplaces: Insert; EPA certified; 

catalytic 

Increase 2%/yr (same as 2104008003) 1.140 1.200 1.320 

2104008010 Woodstoves: General Decrease 2%/yr (same as 2104008002) 0.860 0.800 0.680 

2104008030 Catalytic Woodstoves: General Increase 2%/yr (same as 2104008003) 1.140 1.200 1.320 

2104008050 Non-catalytic Woodstoves: EPA 

certified 

Increase 2%/yr (same as 2104008003) 1.140 1.200 1.320 

2104008051 Non-catalytic Woodstoves: NonEPA certified Decrease 2%/yr (same as 2104008002) 0.860 0.800 0.680 

2104008052 Non-catalytic Woodstoves: Low 

Emitting 

Increase 2%/yr (same as 2104008003) 1.140 1.200 1.320 

2104008053 Non-catalytic Woodstoves: Pellet 

Fired 

Increase 2%/yr (same as 2104008003) 1.140 1.200 1.320 

Appendix G Att. 13b - Page Number

175
Attachment 

14_OTC_TSD_Documents_NYDEC.pdf
1

 TSD-1a 

Meteorological Modeling using Penn State/NCAR 5th

Generation Mesoscale Model (MM5) 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

February 1, 2006 

Appendix G Attachment 14 - Page Number:

1
2

Meteorological Modeling using Penn State/NCAR 5th Generation Mesoscale Model 

(MM5)

Version 3.6 of MM5 was used to generate annual 2002 meteorology for the OTC 

modeling work. Prof. Dalin Zhang of the University of Maryland performed the MM5 

simulations in consultation with NYSDEC staff. The model was applied in Lambert 

conformal map projection and utilized MPP Version developed for clusters. The two-way 

nested domain consisted of coarse (36km) and fine (12km) mesh corresponding to 

149x129 and 175x175 grids, respectively, in this application (see Figure 1). 

The Lambert projection used in this work followed the Regional Planning Organization 

(RPO) national domain setup with the center at (40oN, 97oW) and parallels at 33oN and 

45oN. Map projection parameters in reference to the projection center point are as 

follows: Southwest corner for the 36 km grid is at (-2664km, -2304km) and the northeast 

corner at (2664km, 2304km). In the case of the 12km grid, the southwest corner is at 

(252km, -900km) and the northeast corner at (2340km, 1188km). In the vertical direction, 

the terrain following σ-coordinate system was used with the pressure at each σ-level 

determined from a reference state that is estimated using the hydrostatic equation from a 

given sea-level pressure and temperature with a standard lapse rate. There are 30 

unevenly spaced σ levels, giving 29 vertical layers, with higher resolution within the 

planetary boundary layer (PBL). The σ levels are: 

1.0000, 0.9974, 0.9940, 0.8980, 0.9820, 0.9720, 0.9590, 0.9430, 0.9230, 0.8990, 

0.8710, 0.8390, 0.8030, 0.7630, 0.7180, 0.6680, 0.6180, 0.5680, 0.5180, 0.4680, 

0.3680, 0.3180, 0.2680, 0.2180, 0.1680, 0.1230, 0.0800, 0.0400, 0.0000 

The surface layer was set at about 10m, the level at which surface winds were typically 

observed, and the model top was set at 50hPa with a radiative top boundary condition. 

The time steps for the 36km and 12km domains were 75 and 25 seconds, respectively. 

The important model physics options used for this MM5 simulation include: 

• Kain-Fritsch (1993) convective scheme for both 36- and 12-km domains 

• Explicit moisture scheme (without the mixed phase) containing prognostic 

equations for cloud water (ice) and rainwater (snow) (Dudhia 1989; Zhang 1989) 

• Modified version of the Blackadar planetary boundary layer (PBL) scheme 

(Zhang and Anthes 1982; Zhang and Zheng 2004) 

• Simple radiative cooling scheme (Grell et al. 1994) 

• Multi-layer soil model to predict land surface temperatures using the surface 

energy budget equation (Dudhia 1996) 

Note that the Blackadar PBL scheme has been modified in order to correct the phase shift 

of surface wind speed and temperature diurnal cycle, following a study that compared 

five different PBL schemes: the Gayno-Seaman TKE scheme (Shafran et al. 2000), BurkAppendix G Attachment 14 - Page Number:

2
3

Thompson (1989), Blackadar (Zhang and Anthes 1982), MRF (Hong and Pan 1996), and 

Mellor-Yamada-Jajic (Mellor and Yamada 1974; Jajic 1990, 1994). The details of the 

study can be found at Zhang and Zheng (2004). 

Nudging Processes 

The MM5 provides options for nudging observations for each domain during the model 

integration process (Stauffer and Seaman, 1990; Stauffer et al. 1991). The Eta analyses of 

upper-air winds, temperature and water-vapor mixing ratio as well as their associated surface 

fields were used for nudging every 6 hours, and the Eta surface wind fields blended with 

surface wind observations were used to nudge every 3 hours. While only the surface winds 

were nudged, their influences could extend into the PBL as well (see Stauffer et al. 1991). 

Based on UMD’s prior experience in numerical experiments, the following nudging 

coefficients have been used: 

• Upper-air wind fields: 5. 0E-4s-1 for Domain 1 (36km), and 2. 5E-4s-1 for Domain 2 

(12km); 

• Upper-air temperature fields: 1.0E-5s-1 for both Domains; 

• Surface winds: 5. 0s-1E-4s-1 for Domain 1, and 2.5E-4s-1 for Domain 2; and 

• Surface temperature and moisture: not nudged due to instability consideration. 

ASSESSMENT

This assessment covers the period of May through September 2002. 

National Weather Service (NWS) and CASTNet data – Surface temperature, Wind 

Speed, and Humidity 

NWS (TDL) and CASTNet (www.epa.gov/castnet/)surface measurements of 

temperature, wind speed, and humidity (note there were no humidity measurements for 

CASTNet) were used to compare with the MM5 outputs. The evaluation was performed 

with METSTAT program developed by Environ Corporation 

(www.camx.com/files/metstat.15feb05.tar.gz..When comparing to NWS data, the 

METSTAT interpolates the first layer MM5 (at 10m height) temperature and humidity 

data to a height of 2m, the level that corresponds to the NWS measurement of these 

parameters. However, no such interpolation was made for wind speed and direction. In 

the case of CASTNet surface measurements, no such changes were needed as CASTNet 

data were reported at a height of 10m. In this analysis, no exclusion was made for calm 

conditions. The reported calm winds (zero wind speed measured) were treated as is in 

this evaluation effort. The METSTAT calculated standard statistical measures – 

average, bias, error and index of agreement between the measured and predicted 

parameters. 

 Figure 2 displays the temperature and wind speed comparison of MM5 and measured 

data from NWS and CASTNet networks for August 2002. MM5 performance for both in 

magnitude and diurnal timing, temperature can be considered to be quite good for both 

NWS and CASTNet data, while MM5 underpredicted NWS and overpredicted CASTNet 

Appendix G Attachment 14 - Page Number:

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4

daytime wind speed, respectively. It should be pointed out that there are differences in 

how the meteorological information is collected and reported by the two networks as well 

as in MM5. The CASTNet measurements are based on hourly averaged wind speed while 

NWS reports 2min average at 10min before the hour, whereas MM5 predictions are 

reflective of the last time-step of the hour of computation. Interestingly, MM5 appears to 

track quite well the nighttime minimum wind speed for both networks. In the case of 

humidity (not shown), MM5 tracks the NWS observed humidity trend well, but MM5 

missed the observed semi-diurnal cycles. Comparisons for the five months including bias 

and root mean square error from both NWS and CASTNet are available on request from 

NYSDEC. 

The above assessment is based on domain-wide averages to provide an overall response 

of the model over the five months. Another way of assessing the model is to examine the 

degree of correlation between the measured and predicted parameters. Figure 3 displays 

such a comparison for temperature and wind speed for the NWS hourly data covering the 

period of May through September 2002. For the NWS data, the correlations are in the 

range from 0.7 to 0.8 for wind speed, above 0.96 for temperature, and in the range of 0.8 

to 0.9 for humidity. CASTNet data (not shown) also exhibit similar correlation. These 

correlations indicate that MM5 simulation has captured both the diurnal and synoptic 

scale variations. Detailed plots of this comparison are available on request from 

NYSDEC. 

Vertical Profiler – Winds 

The Wind-Profiler network measurements along the U. S. East Coast (www.madisfsl.org/cap) were used to evaluate the vertical profiles from MM5. There are twelve 

wind-profiler measurement stations from which data were available for comparison. For 

convenience of comparison, the wind-profiler measurements were interpolated to the 

MM5 vertical levels. The approach used was simple interpolation between two adjacent 

wind-profiler layers to the MM5 vertical level, and was limited to that reported by the 

profiler measurement. The focus of the comparison was to assess if MM5 was able to 

capture the measured vertical structure, and for this we used the observed Low Level Jet 

(LLJ) as an indicator. The comparison was performed for June, July and August 2002. In 

general it is found that MM5 captures the profiler measured vertical wind field structure 

reasonably well. Figure 4 displays an example of the MM5 and wind profiler comparison 

for the August 2002 episode at Richmond, VA and Concord, NH. MM5 predicted weaker 

LLJ winds compared to those based on the wind-profiler measurements. The detailed 

plots of this comparison are available on request from NYSDEC. 

Cloud Cover – Satellite cloud image 

Cloud information derived from satellite image data 

(www.atmos.umd.edu/~srb/gcip/webgcip.htm )were used to assess the MM5 prediction 

of cloud cover. The 0.5o

 by 0.5o resolution of the satellite data were interpolated into the 

12km MM5 grid for comparison. The MM5 total cloud fraction was estimated by MCIP 

based on the MM5’s low cloud, middle cloud and high cloud predictions. In general, 

Appendix G Attachment 14 - Page Number:

4
5

MM5 captured the satellite cloud pattern well but underestimates the satellite cloud 

fraction (see Figure 5 as an example). Part of problem may due to the coarse resolution of 

the satellite cloud data. The detailed plots of this comparison are available on request 

from NYSDEC or at the following URL 

Precipitation comparison 

The monthly total observed precipitation data were constructed from 1/8-degree daily 

precipitation analysis data (http://data.eol.ucar.edu/codiac/dss/id=21.093 produced by 

Climate Prediction Center, based on 7,000-8,000 hourly/6-hourly gauge reports and 

radar). The MM5 monthly total precipitation was estimated from the MM5 predicted 

convective and non-convective rainfall and summed up for each month. In general, MM5 

captured the observed spatial patterns in May and September, but no so well for June, 

July and August (See Figure 6), perhaps reflective of the summertime convective rain 

activities not captured by MM5. Detailed plots of this comparison are available on 

request from NYSDEC. 

Calm Conditions 

Calm conditions are defined as observed wind speed of zero knots and wind direction as 

0o

. It would be useful to assess how MM5 performs under observed calm conditions, 

because of potential pollutant buildup that could occur under such conditions. Table 1 

lists the summary of the percentage of calm condition at each hour for the August 2002 

from the NWS data within the 12km domain. It is apparent from the Table that the calm 

conditions occur primarily during the night and early morning hours, from 23Z (7 p.m. 

EDT) to 15Z (11 a.m. EDT) with a peak at 10Z (6 a.m. EDT). To assess MM5 

performance, the observed and MM5 predicted wind speeds were divided into calm and 

non-calm according to observed wind speed. Figure 7 displays such a comparison of the 

MM5 predicted wind speed to the observed wind speed under the calm and non-calm 

conditions for the month of August 2002. For the “calm” group, the average wind speed 

for MM5 varies from 1 m/s during the night and early morning hours and over 1.5 m/s 

during the day. MM5 is over-predicting during observed calm wind conditions. There 

are local minima every 3 hours, due to the surface observed wind speed nudging in MM5. 

In contrast under the non-calm conditions, MM5 underpredicts by about 0.5 m/s for all 

hours with noticeable local maximum happening at the nudging hours. The MM5 

nudging process would pull predictions toward the measured data, while the 

underprediction of MM5 for the non-calm conditions may due to the adopted PBL 

scheme in this simulation. 

Summary 

In this study, we performed an assessment of the MM5 simulation to real-world data, 

both at the surface level as well as in the vertical. While there are no specific 

recommended procedures identified for this assessment, similar approaches have been 

used elsewhere (Dolwick 2005, Baker 2004, and Johnson 2004). Traditionally, the NWS 

surface measurements are used for such a comparison. Since NWS data had been used 

Appendix G Attachment 14 - Page Number:

5
6

through nudging processes in developing the MM5 simulation, the comparisons should 

not be far removed from each other. In this study, we extended the evaluation by using 

CASTNet measurements that were not used in the MM5 simulations. Thus comparison 

with CASTNet data provides for an independent assessment and should complement the 

comparison with NWS data. We also compared the MM5 results with the wind profiler 

data and cloud data derived from satellite images to diagnose if the MM5 simulation is 

yielding the right type of dynamics in the vertical. The analyses shows that in general, the 

performance of the MM5 is reasonable both at the surface and in the vertical, thereby 

providing confidence in the use of these data in the CMAQ simulations. 

 

References 

Baker, K. 2004: www.ladco.org/tech/photo/photochemical.html

Burk, S. D. and W. T. Thompson, 1989: A vertically nested regional numerical weather 

prediction model with second-order closure physics. Mon. Wea. Rev., 117, 2305–2324. 

Dudhia, J., 1989: Numerical study of convection observed during the winter monsoon 

experiments using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077–3107. 

Dudhia, J., 1996: A multi-layer soil temperature model for MM5. Preprints, 6th Annual 

MM5 Users Workshop, Boulder, CO. 

Dolwick, P. 2005: 

http://cleanairinfo.com/modelingworkshop/presentations/MPE_Dolwick.pdf

Grell, G. A., J. Dudhia , and D. R. Stauffer 1994: A description of the fifth-generation 

Penn State/NCAR Mesoscale Model (MM5). NCAR Tech.Note NCAR/TN-398 1 STR, 

122 pp. 

Hong, S.-H., and H.-L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a 

medium-range forecast model. Mon. Wea. Rev., 124, 2322–2339. 

Jajic, Z. I., 1990: The step-mountain coordinate: Physical package. Mon. Wea. Rev., 

118, 1429-1443. 

Jajic, Z. I., 1994: The step-mountain Eta coordinate model: Further development of the 

convection, viscous sublayer and turbulent closure schemes. Mon. Wea. Rev., 122, 927-

945. 

Johnson, M. 2004: www.ladco.org/tech/photo/photochemical.html

Kain, J.S., and J.M. Fritsch, 1993: Convective parameterization for mesoscale models: 

The Kain-Fritsch scheme. Cumulus Parameterization. Meteor. Monogr., 46, Amer. 

Meteor. Soc., 165-170. 

Appendix G Attachment 14 - Page Number:

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7

Mellor, G. L., and T. Yamada, 1974: A hierarchy of turbulence closure models for 

planetary boundary layers. J. Atmos. Sci., 31, 1791–1806. 

Shafran, P.C., N.L. Seaman, and G. A. Gayno, 2000: Evaluation of numerical 

predictions of boundary layer structure during the Lake Michigan ozone study. J. Appl. 

Meteor., 39, 412-426. 

Stauffer, D. R., N. L. Seaman and F. S. Binkowski 1991: Use of four-dimensional data 

assimilation in a limited-area mesoscale model. Part II: Effects of data assimilation 

within the planetary boundary layer. Mon. Wea. Rev., 119, 734-754. 

Stauffer, D. R. and N. L. Seaman, 1990: Use of four-dimensional data assimilation in a 

limited-area mesoscale model. Part I: Experiments with synoptic-scale data. Mon. 

Wea. Rev., 118, 1250-1277. 

Zhang, D.-L., 1989: The effect of parameterized ice microphysics on the 

simulation of vortex circulation with a mesoscale hydrostatic model. Tellus, 41A, 132-

147. 

Zhang, D.-L, and R. A. Anthes, 1982: A high-resolution model of the planetary 

boundary layer-sensitivity tests and comparisons with SESAME-79 data. J. Appl. 

Meteor., 21, 1594–1609. 

Zhang, D.-L, and W.-Z. Zheng, 2004: Diurnal cycles of surface winds and temperatures 

as simulated by five boundary-layer parameterizations. J. Appl. Meteor., 43, 157-169. 

Appendix G Attachment 14 - Page Number:

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8

Table 1 Measured calm and non-calm occurrences over the modeling domain 

during August 2002 based on NWS data 

Hour 

#NonCalm #Calm #Total % Calm 

00Z 18209 3924 22133 17.7 

01Z 16531 6026 22557 26.7 

02Z 15604 6929 22533 30.8 

03Z 14983 7245 22228 32.6 

04Z 14309 7540 21849 34.5 

05z 14073 7735 21808 35.5 

06Z 13934 7949 21883 36.3 

07Z 13792 8040 21832 36.8 

08Z 13542 8273 21815 37.9 

09Z 13542 8385 21927 38.2 

10Z 13708 8591 22299 38.5 

11Z 14139 8693 22832 38.1 

12Z 15297 7690 22987 33.5 

13Z 17336 5192 22528 23 

14Z 18522 3439 21961 15.7 

15Z 18755 2617 21372 12.2 

16Z 19169 2015 21184 9.5 

17Z 19555 1617 21172 7.6 

18Z 19982 1430 21412 6.7 

19Z 20149 1389 21538 6.4 

20Z 20565 1288 21853 5.9 

21Z 20518 1383 21901 6.3 

22Z 20672 1556 22228 7 

23Z 20231 2292 22523 10.2 

Appendix G Attachment 14 - Page Number:

8
9

Figure 1: OTC MM5 modeling domain with areal extent of 12km and 36km grids 

Appendix G Attachment 14 - Page Number:

9
10

Figure 2: Temperature and Wind speed comparisons for August 2002. In each case the 

upper panel corresponds to comparison between MM5 and NWS data and the lower 

panel between MM5 and CASTNet data. 

O b se rve d /P re d icte d T e m p e ra tu re

275

280

285

290

295

300

305

 8/ 1 8/ 2 8/ 3 8/ 4 8/ 5 8/ 6 8/ 7 8/ 8 8/ 9

 8/10 8/11 8/12 8/13 8/14 8/15 8/16 8/17 8/18 8/19 8/20 8/21 8/22 8/23 8/24 8/25 8/26 8/27 8/28 8/29 8/30 8/31

K

O b sTe m p P rdTem p 

O b se rve d /P re d icte d T e m p e ra tu re

275

280

285

290

295

300

305

 8/ 1 8/ 2 8/ 3 8/ 4 8/ 5 8/ 6 8/ 7 8/ 8 8/ 9

 8/10 8/11 8/12 8/13 8/14 8/15 8/16 8/17 8/18 8/19 8/20 8/21 8/22 8/23 8/24 8/25 8/26 8/27 8/28 8/29 8/30 8/31

K

O b sTe m p P rdTem p 

Observed/Predicted Windspeed

1

2

3

4

5

6

7

 8/ 1 8/ 2 8/ 3 8/ 4 8/ 5 8/ 6 8/ 7 8/ 8 8/ 9

 8/10 8/11 8/12 8/13 8/14 8/15 8/16 8/17 8/18 8/19 8/20 8/21 8/22 8/23 8/24 8/25 8/26 8/27 8/28 8/29 8/30 8/31

m/s

ObsWndSpd PrdWndSpd 

Observed/Predicted Windspeed

1

2

3

4

5

6

7

 8/ 1 8/ 2 8/ 3 8/ 4 8/ 5 8/ 6 8/ 7 8/ 8 8/ 9

 8/10 8/11 8/12 8/13 8/14 8/15 8/16 8/17 8/18 8/19 8/20 8/21 8/22 8/23 8/24 8/25 8/26 8/27 8/28 8/29 8/30 8/31

m/s

ObsWndSpd PrdWndSpd 

Appendix G Attachment 14 - Page Number:

10
11

Figure 3a: Spatial correlation estimates between MM5 and NWS data for wind speed 

 from May to September 2002 

Appendix G Attachment 14 - Page Number:

11
12

Figure 3b: Spatial distribution of correlation coefficients for Temperature between 

MM5 and NWS data from May to September 2002. 

Appendix G Attachment 14 - Page Number:

12
13

Richmond, VA 

Concord, NH 

Figure 4: MM5 and Wind profiler comparison for August 6 to 17, 2002 at Richmond, VA 

and Concord, NH. The upper and lower panes at each station are for MM5 and profiler, 

respectively. The abcissa represents day and the ordinate the height (m). 

Appendix G Attachment 14 - Page Number:

13
14

Figure 5: MM5 and Satellite cloud images for August 14, 2002 at 0700 EST 

Appendix G Attachment 14 - Page Number:

14
15

Figure 6: MM5 predicted and measured precipitation over the domain for the month of 

August 2002 

Appendix G Attachment 14 - Page Number:

15
16

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

00Z 03Z 06Z 09Z 12Z 15Z 18Z 21Z

TIME

WIND SPEED (m/s)

TDLAvgNC

MM5AvgNC

MM5AvgC

Figure 7: Comparison of averaged wind speed between MM5 and observed under calm 

(C) and non-calm (NC) conditions. 

Appendix G Attachment 14 - Page Number:

16
 TSD-1b 

Processing of Biogenic Emissions for OTC / MANE-VU 

Modeling 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

September 19, 2006 

Appendix G Attachment 14 - Page Number:

17
Biogenic emissions for the time period from January 1, 2002 – December 31, 2002 were 

calculated by NYSDEC using the Biogenic Emissions Inventory System (BEIS) version 

3.12 integrated within SMOKE2.1. General information about BEIS is available at 

http://www.epa.gov/AMD/biogen.html while documentation about biogenic emissions 

processing within SMOKE2.1 is available at 

http://cf.unc.edu/cep/empd/products/smoke/version2.1/html/ch06s10.html and 

http://cf.unc.edu/cep/empd/products/smoke/version2.1/html/ch06s17.html . Note that the 

SMOKE documentation refers to BEIS3.09 and has not yet been updated for BEIS3.12. 

This affects the number of species modeled as well as the use of different speciation 

profiles. However, the general processing approach has not changes from BEIS3.09 to 

BEIS3.12. In short, this processing approach is as follows and was utilized by NYSDEC 

for its biogenic emission processing for 8-hr ozone and PM2.5 modeling: 

1. Normbeis3 reads gridded land use data and emissions factors and produces gridded 

normalized biogenic emissions for 34 species/compounds. The gridded land use 

includes 230 different land use types. Both summer and winter emissions factors for 

each species/compound are provided for each of the 230 land use types. On output, 

Normbeis3 generates a file B3GRD which contains gridded summer and winter 

emission fluxes for the modeling domain that are normalized to 30 °C and a 

photosynthetic active radiation (PAR) of 1000 μmol/m2

s. In addition, gridded 

summer and winter leaf area indices (LAI) are also written to B3GRD. 

2. Tmpbeis3 reads the gridded, normalized emissions file B3GRD and meteorological 

data from the MCIP-processed MM5 meteorological fields generated by the 

University of Maryland for MANE-VU/OTC modeling. Specifically, the following 

MM5/MCIP meteorological variables are used by Tmpbeis3 to compute hourspecific, gridded biogenic emissions from the normalized emission fluxed contained 

in B3GRD: layer-1 air temperature (“TA”), layer-1 pressure (“PRES”), total 

incoming solar radiation at the surface (“RGRND”), and convective (“RC”) and 

non-convective (“RN”) rainfall. Additionally, the emissions for the 34 

species/compounds modeled by BEIS3.12 are converted to CO, NO, and the CB-IV 

Appendix G Attachment 14 - Page Number:

18
VOC species utilized in CMAQ via the use of the BEIS3.12-CB-IV speciation 

profile. In adition, an optional seasonal switch file, BIOSEASON, was utilized to 

decide whether to use summer or winter emissions factors for any given grid cell on 

any given day. This file was generated by the SMOKE2.1 utility Metscan based on 

MM5 layer-1 air temperatures to determine the date of the last spring frost and first 

fall frost at each grid cell. Summer emission factors are used by Tmpbeis3 for the 

time period between the last spring frost and first fall frost at any given grid cell, 

and winter emission factors are used for the remaining time period. Documentation 

for the Metscan utility is available at 

http://cf.unc.edu/cep/empd/products/smoke/version2.1/html/ch05s07.html . An 

animated GIF file showing the BIOSEASON file used by NYSDEC can be found at 

ftp://ftp.dec.state.ny.us/dar/air_research/chogrefe/biog_reports/b3season_movie.gif

3. For reporting purposes, the hourly, speciated, gridded emissions were aggregated to 

the county level for each day. For any given grid cell, emissions are distributed 

among the counties intersecting this grid cell in proportion to the area of each of 

these counties within the grid cell. The area gridding surrogates needed for this 

aggregration are based on a file obtained from EPA via 

http://www.epa.gov/ttn/chief/emch/spatial/new/bgpro.12km_041604.us.gz followed 

by windowing for the MANE-VU/OTC modeling domain. 

Appendix G Attachment 14 - Page Number:

19
1

 TSD-1d 

8hr Ozone Modeling using the SMOKE/CMAQ system 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

February 1, 2006 

Appendix G Attachment 14 - Page Number:

20
2

Air Quality Modeling Domain 

The modeling domain utilized in this application represented a sub-set of the inter-RPO’s 

continental modeling domain that covered the entire 48-state region with emphasis on the 

Ozone Transport Region. The OTC modeling domain at 12km horizontal mesh is 

displayed in Figure 1 is part of the 36km continental domain that is designed to provide 

boundary conditions (BCs). The particulars of the two modeling domains are: 

 The 36km domain covered the continental US by a 149 by 129 mesh in the east-west and 

north-south directions, respectively. The domain is based on Lambert Conformal 

Projection with the center at (97oW 40oN) and parallels at 33oN and 45oN. As evident 

from Figure 1, the 12km domain utilized in this analysis covers most areas of the eastern 

US and has 172 by 172 mesh in the horizontal. Both domains utilize 22 layers in the 

vertical extending to about 16km with 16 layers placed within the lower 3km. 

Photochemical Modeling -- CMAQ

The CMAQ (version 4.5.1) with CB4 chemistry, aerosol module for PM2.5 and RADM 

cloud scheme was utilized in this study. Photochemical modeling was performed with the 

CCTM software that is part of the CMAQ modeling package. Version 4.5.1 of this 

modeling software was obtained from the CMAS modeling center at 

http://www.cmascenter.org. The following module options were used in compiling the 

CCTM executable: 

• Horizontal advection: yamo 

• Vertical advection: yamo 

• Horizontal diffusion: multiscale 

• Vertical diffusion: eddy 

• Plume-in-Grid: non operational 

• Gas phase chemical mechanism: CB-4 

• Chemical solver: EBI 

• Aerosol module: aero3 

• Process analysis: non operational 

The following computational choices were made during compilation: 

• Compiler version: PGI 6.0 

• Fortran compiler flags:-Mfixed -Mextend -Bstatic -O2 -module ${MODLOC} -I. 

• C compiler flags: -v -O2 -I${MPICH}/include 

• IOAPI library: version 3.0 

• NETCDF library: version 3.6.0 

• Parallel processing library version: mpich 1.2.6 

• Static compilation on 32-bit system 

The following choices were made for running the executable: 

Appendix G Attachment 14 - Page Number:

21
3

• Number of processors: 8 

• Domain decomposition for parallel processing: 4 columns, 2 rows 

• Number of species written to the layer-1 hourly-average concentration output 

(ACONC) file: 39 (O3, NO, CO, NO2, HNO3, N2O5, HONO, PNA, PAN, NTR, 

NH3, SO2, FORM, ALD2, PAR, OLE, ETH, TOL, XYL, ISOP, ASO4I, ASO4J, 

ANO3I, ANO3J, ANH4I, ANH4J, AORGAI, AORGAJ, AORGPAI, AORGPAJ, 

AORGBI, AORGBJ, AECI, AECJ, A25I, A25J, ACORS, ASEAS, ASOIL) 

• Each daily simulation was performed for 24 hours starting at 05:00 GMT (00:00 

EST) 

The following postprocessing steps were performed using utility tools from the “ioapi” 

software package obtained from 

http://www.baronams.com/products/ioapi/AA.html#tools: 

• Extract and combine the following species for each hour for the first 16 model 

layers from the full 3-D instantaneous concentration output file: O3, CO, NO, 

NO2, NOY_1 (=NO + NO2 + PAN + HNO3), NOY_2 (=NO + NO2 + PAN + 

HNO3 + HONO + N2O5 + NO3 + PNA + NTR), HOX (=OH + HO2), VOC 

(=2*ALD2 + 2*ETH + FORM + 5*ISOP + 2*OLE + PAR + 7*TOL + 8*XYL), 

ISOP, PM2.5 (=ASO4I + ASO4J + ANO3I + ANO3J + ANH4I + ANH4J + 

AORGAI + AORGAJ + 1.167*AORGPAI + 1.167*AORGPAJ + AORGBI + 

AORGBJ + AECI + AECJ + A25I + A25J), PM_SULF (=ASO4I + ASO4J), 

PM_NITR (=ANO3I + ANO3J), PM_AMM (=ANH4I + ANH4J), PM_ORG_SA 

(=AORGAI + AORGAJ), PM_ORG_PA (=1.167*AORGPAI + 

1.167*AORGPAJ), PM_ORG_SB(=AORGBI + AORGBJ), PM_ORG_TOT 

(=AORGAI + AORGAJ + 1.167*AORGPAI + 1.167*AORGPAJ + AORGBI + 

AORGBJ), PM_EC (=AECI + AECJ), PM_OTH (=A25I + A25J), PM_COARS 

(=ACORS + ASEAS + ASOIL), SO2, HNO3, NH3, H2O2 

• Extract all species for all model layers for the last hour of each daily 

instantaneous concentration output file to enable “hot” restarts of modeling 

simulations 

• Create daily files of hourly running-average 8-hr ozone concentrations with time 

stamps assigned to the first hour of the averaging interval 

The following files are archived on LTO2 computer tapes (each tape holds approximately 

200 Gb of data) for each day: 

• Aerosol/visibility file 

• Layer-1 hourly-average concentration output file (contains 39 species) 

• Dry deposition file 

• Wet deposition file 

• Extracted 16-layer species file 

• Restart file (last hour of full 3-D instantaneous concentration file) 

• Hourly 8-hr concentration file 

Appendix G Attachment 14 - Page Number:

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4

Photolysis Rates

One of the inputs to CMAQ is the photolysis rates. In this study, photolysis rate lookup 

tables were generated for each day of 2002 with the JPROC software that is part of the 

CMAQ modeling package. This software was obtained from the CMAS modeling center 

at http://www.cmascenter.org. Rather than using climatological ozone column data, daily 

ozone column measurements from the NASA Earthprobe TOMS instrument were 

downloaded from ftp://toms.gsfc.nasa.gov/pub/eptoms/data/ozone/Y2002/ and used as 

input to the JPROC processor. It should be noted that TOMS data were missing for the 

time period from August 3 – 11, 2002. The missing period was filled as follows-- TOMS 

data file for August 2 was used as JPROC input for August 3rd through August 7th, and 

the TOMS data file for August 12th was used as JPROC input for August 8th through 

August 11th. 

Boundary Conditions (BCs)

The boundary conditions for the 12km grid were extracted from the 36km CMAQ 

simulation. The 36km simulation utilized boundary conditions that were based on a oneway nest approach to GEOS-CHEM global model outputs (Moon and Byun 2004, Baker 

2005). As stated above, the intent of the 36km CMAQ simulation was to provide the 

BCs for the 12km model that would be more reflective of the emissions and meteorology 

rather than to use either clean or arbitrary pollutant fields. Also, in this study the CMAQ 

simulations utilized a 15-day ramp-up period, thereby minimizing the propagation of the 

boundary fields into the areas of concern. A report on the setup and application of the 

36km CMAQ and the extraction of the BCs is available from NYSDEC. 

Meteorological data

The meteorological data for this study was based on MM5 modeling (see Meteorological 

Modeling, 2007). The MM5 fields are then processed by MCIP version 3.0, a utility 

available as part of the CCTM software from CMAS Modeling Center (see 

http://www.cmascenter.org) to provide CMAQ model-ready inputs. 

Emissions

 

The emissions data for 2002 were generated by individual states within the OTR and 

were assembled and processed through the Mid Atlantic Northeast Visibility Union 

(MANE-VU), a Regional Planning Organization (RPO). These emissions were then 

processed by NYSDEC using SMOKE processor to provide CMAQ compatible inputs 

(Anthro-Emissions 2006). The 2002 emissions for the non-OTR areas within the 

modeling domain were obtained from the corresponding RPOs and were processed using 

SMOKE, in a manner similar to that of the OTR.emissions. Details of this processing are 

outlined in the report (Pechan 2007), and the hourly biogenic emissions (Bio-Emissions, 

2006) 

Appendix G Attachment 14 - Page Number:

23
5

CMAQ simulations

CMAQ simulations were performed using the one-way nesting approach in which we 

perform the continental CMAQ simulation at 36km grid spacing. For this simulation we 

utilized clean initial conditions with boundary conditions extracted from the simulation of 

GEOS-CHEM global chemical model. The interface program used in this application was 

developed by University of Huston (Moon and Byun 2004), which was applied to obtain 

hourly 36km boundary concentrations from GEOS-CHEM outputs. The CMAQ 36km 

simulation was initiated from December 15, 2001 with the first 15 days as spin up period 

and terminated on December 31, 2002. The simulation utilized the 2002 emissions data 

available from the RPOs and 2002 MM5 meteorological fields developed by the 

University of Maryland (TSD-1a). The hourly boundary fields for the 12km CMAQ 

domain were obtained by application of BCON program to the 3-D concentration fields 

generated by the 36km CMAQ simulation. 

The 12km simulations for both base and future year were assigned the boundary 

conditions based on the 36km CMAQ simulation and clean initial conditions. The 

simulation period covered was from April 15 through September 30, with the first 15 

days of April set as ramp-up or spin-up period and that only data from May 1 through 

September 30 were used in the analysis. Details on CMAQ setup and run scripts are 

available from NYSDEC. 

References 

Baker, K.: (2005) http://www.ladco.org/tech/photo/present/ozone.pdf

Moon, N. and D. Byun: (2004) A simple user’s guide for “geos2cmaq”code: Linking 

CMAQ with GEOS-CHEM. Version 1.0. Institute for Multidimensional Air quality 

Studies (IMAQS), University of Houston, Houston TX. 

Meteorological Modeling: (2007) Meteorological Modeling using Penn State/NCAR 5th

Generation Mesoscale Model (MM5). TSD-1a 

Pechan: (2006) Technical Support document for 2002 MANE-VU SIP Modeling 

inventories, version 3. Prepared by E. H. Pechan & Associates, Inc. 3622 Lyckan 

Parkway, Suite 2005, Durham, NC 27707. 

Bio-Emissions: (2006) Processing of Biogenic Emissions for OTC/MANE-VU 

Modeling. TSD-1b 

Anthro-Emissions: (2006) Emission Processing for the Revised 2002 OTC Regional and 

Urban 12 km Base Case Simulations. TSD-1c 

 

Appendix G Attachment 14 - Page Number:

24
1

TSD-1e 

CMAQ Model Performance and Assessment 

8-Hr OTC Ozone Modeling 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

February 23, 2006 

Appendix G Attachment 14 - Page Number:

25
2

Air quality model evaluation and assessment 

One of the tasks that is required as part of demonstrating attainment for the 8-hr 

ozone NAAQS is the evaluation and assessment of the air quality modeling system that 

has been utilized to predict future air quality over the region of interest. As part of the 

attainment demonstration, the SMOKE/CMAQ modeling system was applied to simulate 

the pollutant concentration fields for the base year 2002 emissions with the corresponding 

meteorological information. The modeling databases for meteorology using MM5 (TSD1a), the emissions using SMOKE (TSD-1b and TSD-1c), and application of CMAQ 

(TSD-1d) provides simulated pollutant fields that are compared to measurements, in 

order to establish the credibility of the simulation. In the following sections a comparison 

between the measured and predicted concentrations is performed and results are 

presented, demonstrating on an overall basis the utility of the modeling system in this 

application. 

The results presented here should serve as an illustration of some of the 

evaluation and assessment performed on the base 2002 CMAQ simulation. Additional 

information can be made available by request from the New York State Department of 

Environmental Conservation. 

Summary of measured data

The ambient air quality data, both gaseous and aerosol species, for the simulation 

period of May through September 2002 were obtained from the following sources: 

• EPA Air Quality System (AQS) 

• EPA fine particulate Speciation Trends Network (STN) 

• EPA Clean Air Status & Trends Network (CASTNet) 

• Interagency Monitoring of PROtected Visual Environments (IMPROVE) 

• Pinnacle State Park, NY operated by Atmospheric Science Research Center, 

University at Albany, Albany, NY 

• Harvard Forest, Petersham, MA operated by Harvard University, Boston, MA 

• Atmospheric Investigation, Regional Modeling, Analysis and Prediction 

(AIRMAP) operated by University of New Hampshire, Durham, NH 

• NorthEast Ozone & Fine Particle Study (NE-OPS), led by Penn State University 

and other research groups in Philadelphia, PA 

• Aircraft data obtained by the University of Maryland, College Park MD 

• Wet deposition data from the National Atmospheric Deposition Program/National 

Trends Network (NADP/NTN), Atmospheric Integrated Research Monitoring 

Network (AIRMoN), and the New York State Department of Environmental 

Conservation (NYSDEC) 

Measured data from sites within the Ozone Transport Region (OTR) plus the rest of 

Virginia were included here. The model-based data were obtained at the grid-cell 

corresponding to the monitor location; no interpolation was performed. 

Appendix G Attachment 14 - Page Number:

26
3

Ozone (O3)

Hourly O3 is measured at a large number of State, Local, and National Air 

Monitoring Stations (SLAMS/NAMS) across the US on a routine basis, and the data from 

208 sites were extracted from the AQS database 

(http://www.epa.gov/ttn/airs/airsaqs/aqsweb/aqswebhome.html). Hourly O3

concentrations from the Harvard Forest Environmental Management Site in Petersham, 

MA (http://www.as.harvard.edu/data/nigec-data.html); Pinnacle State Park in Addison, 

NY (http://www.asrc.cestm.albany.edu); and the four University of New Hampshire 

AIRMAP sites (http://airmap.unh.edu) were also included in this database. The EPA 

CASTNet program collects hourly O3 at generally rural locations across the US 

(http://www.epa.gov/castnet); data from 22 sites, including two from West Virginia, were 

used in the model evaluation. 

Fine particulate matter (PM2.5)

The 24-hour average Federal Reference Method (FRM) PM2.5 mass data collected 

routinely at SLAMS/NAMS sites across the US were extracted from AQS (257 sites). 

Hourly PM2.5 mass was also included in this database, primarily extracted from AQS (54 

sites). Hourly PM2.5 mass were also taken from the Thompson Farm, NH AIRMAP site, 

Pinnacle State Park, and the NE-OPS site in Philadelphia, PA (http://lidar1.ee.psu.edu). 

Fine particulate speciation

The 24-hour average PM2.5 and fine particulate speciation (sulfate (SO4), nitrate 

(NO3), elemental carbon (EC), organic carbon/organic mass (OC/OM), and soil/crustal 

matter) from Class I areas across the US, collected every 3rd day, were obtained from the 

IMPROVE web site (http://vista.cira.colostate.edu/IMPROVE/Default.htm). In addition 

to these parameters, the EPA STN (http://www.epa.gov/ttn/amtic/speciepg.html) also 

reports ammonium (NH4) to AQS; data from this network are collected every 3rd or 6th

day. Data from 49 STN sites, generally in urban areas and often collocated with FRM 

monitors, and 21 IMPROVE sites (including Dolly Sods, WV) were used in this analysis. 

Organic mass is assumed to equal 1.8×OC, and soil/crustal matter is assumed to consist 

of oxides of Al, Ca, Fe, Si, and Ti. The STN OC data are blank-corrected by removing a 

monitor-specific, constant blank, and these values are available from 

http://www.epa.gov/airtrends/aqtrnd03/pdfs/2_chemspec0fpm25.pdf; the IMPROVE OC 

blanks are assumed to equal zero. 

Criteria gaseous pollutants

Hourly carbon monoxide (CO; 97 sites), nitric oxide (NO; 75 sites), nitrogen 

dioxide (NO2; 97 sites) and sulfur dioxide (SO2; 134 sites) are also included in this model 

evaluation database. A large majority of these sites are SLAMS/NAMS monitors located 

primarily in urban in suburban areas, but data from the Harvard Forest, Pinnacle State 

Park, and AIRMAP sites are also included here. 

Appendix G Attachment 14 - Page Number:

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4

Non-methane hydrocarbons

 

While there are several dozen hydrocarbon species measured routinely, for this 

model evaluation database the focus was on Carbon Bond IV species groups that consist 

of a single primary species. For this reason only ethene (C2H4), isoprene (C5H8), and 

formaldehyde (HCHO) concentrations were extracted from AQS. Hourly C2H4 and C5H8 

data from 19 Photochemical Assessment Monitoring Stations (PAMS) sites and 24-hour 

average HCHO from 18 air toxics sites are included in this database. 

University of Maryland aircraft data

The University of Maryland performed 144 aircraft spirals at 41 regional airport 

locations over 26 days from May-August 2002 (http://www.atmos.umd.edu/~RAMMPP). 

Spirals are approximately 20-45 minutes in duration, over which time the atmosphere 

from about 0-3 km is sampled. The concentrations of O3, CO, and SO2 from these spirals 

were included in this database, and help provide a semi-quantitative evaluation of CMAQ 

performance above the ground surface. Minute average aircraft data were compared to 

the nearest instantaneous 3-dimensional CMAQ output. 

Wet deposition 

The NADP (http://nadp.sws.uiuc.edu) collects wet deposition samples across the 

US, through the NTN and the AIRMoN. Weekly wet deposition samples are collected by 

the NTN, while daily or event-based samples were collected by the AIRMoN. The 

NYSDEC (http://www.dec.state.ny.us) also collects weekly wet deposition samples 

independently from the NADP. The wet deposition of SO4

2-, NO3-

, and NH4

+

 from 43 

NADP/NTN sites, 7 NADP/AIRMoN sites, and 19 NYSDEC sites are included in this 

model evaluation database. 

Evaluation of CMAQ predictions

The following sections provide model evaluation information for the above 

referenced pollutants over the OTR portion of the 12-km modeling domain. The 

statistical formulations that have been computed for each species are as follows: Pi and Oi

are the individual (daily maximum 8-hour O3 or daily average for the other species) 

predicted and observed concentrations, respectively; P and O are the average 

concentrations, respectively, and N is the sample size. 

Observed average, in ppb: 

O

N = ∑ Oi

1

Predicted average, in ppb (only use Pi when Oi is valid): 

P

N = ∑ Pi

1

Appendix G Attachment 14 - Page Number:

28
5

Correlation coefficient, R2

: 

[ ] R

P PO O

PP OO

i i

i i

2

2

2 2 = − −

− −

∑

∑ ∑

( )( )

( )( )

Normalized mean error (NME), in %: 

NME

P O

O

i i

i

= − ×

∑

∑

| | 100%

Root mean square error (RMSE), in ppb: 

RMSE

N

P O i i = − ⎡

⎣

⎢ ⎤

⎦ ∑ ⎥

1 2

1 2

( )

/

Fractional error (FE), in %: 

FE

N

P O

P O

i i

i i

= −

+ ∑ ×

2

100%

Mean absolute gross error (MAGE), in ppb: 

MAGE

N

P O i i = − ∑1

Mean normalized gross error (MNGE), in %: 

MNGE

N

P O

O

i i

i

= − ∑ ×

1

100%

Mean bias (MB), in ppb: 

MB

N

P O i i = − ∑1

( )

Mean normalized bias (MNB), in %: 

MNB

N

P O

O

i i

i

= − ∑ ×

1

100% ( )

Mean fractionalized bias (MFB), in %: 

MFB

N

P O

P O

i i

i i

= −

+

⎡

⎣

⎢ ⎤

⎦ ∑ ⎥ ×

2

100%

Normalized mean bias (NMB), in %: 

NMB

P O

O

i i

i

= − ×

∑

∑

( ) 100%

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Daily maximum 8-hour O3 concentrations

Model evaluation statistics, based on daily maximum 8-hour average O3 levels on 

those days having (1) at least 18 valid observations, or (2) fewer than 18 valid 

observations but the observed daily maximum O3 concentration was at least 85 ppb, are 

presented here for all sites across the OTR and all of VA. The data cover the period May 

15 through September 29, excluding July 6-9, when many sites across the eastern US 

were affected by large forest fires in Quebec. There are 208 SLAMS/NAMS sites and 28 

special sites. 

These model evaluation statistics were computed using two different threshold 

values for observed daily maximum 8-hour O3. First, the statistics were computed using 

only those days when the observed daily maximum 8-hour O3 concentration exceeded 40 

ppb. Second, the statistics were computed using only those days when the observed daily 

maximum 8-hour O3 exceeded 60 ppb. This latter method focuses on the highest O3

days. 

Figures 1-4 display time series of observed and predicted daily maximum 8-hour 

O3 concentrations averaged over all sites across the OTR, at SLAMS/NAMS and special 

sites and for the daily maximum two thresholds. These averages were computed for each 

day considering all sites that met the corresponding threshold criteria. In general the 

observed and predicted composite average O3 concentrations track each other rather well, 

although there was fairly substantial underprediction during the mid-August period. 

Also, the model performance tends to be better when the lower cutoff (40 ppb) was 

considered. 

Figures 5-8 display spatial maps of fractional error and mean fractionalized bias 

for the two threshold levels. At each site the statistics were computed over the entire 

modeling season. Both the SLAMS/NAMS and special monitors are displayed here. In 

general, the model performance was better in the vicinity of urban areas and along the 

northeastern corridor, compared to the performance in rural areas where the model tended 

to underpredict daily maximum concentrations. The other statistical metrics yielded 

similar results to FE and MFB. 

Table 1 lists the median and range in fractional error, and the mean fractionalized 

bias of daily maximum 8-hour O3 calculated at each site over the season, for both 

observed thresholds (40 and 60 ppb), as well as all sites versus just the SLAMS/NAMS 

sites. Considering just SLAMS/NAMS sites, FE was always less than 32% for the 40 

ppb threshold, and less than 40% for the 60 ppb threshold. Similarly, the MFB at 

SLAMS/NAMS sites ranged from -29 to +23% for the 40 ppb threshold, and ranged from 

-40 to +22% for the 60 ppb threshold. Adding the special sites did not affect the statistics 

substantially. 

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Diurnal variations of gases

 

Figures 9-17 display the composite diurnal variations of the species reported 

hourly – O3 (SLAMS/NAMS and other/special sites, displayed separately), continuous 

PM2.5, CO, NO, NO2, SO2, ethene, and isoprene. The average diurnal variations are for 

the period of May 15-September 30 – again excluding July 6-9 – considering all sites in 

the OTR. Note that the O3 diurnal variations were computed from running 8-hour 

averages, with hours denoting the start of the 8-hour block. The number of monitors used 

to compute each composite diurnal variation is shown in each figure. 

For O3, the composite diurnal pattern predicted by CMAQ is fairly similar to that 

observed, especially at the more urban SLAMS/NAMS monitors. However, on average 

CMAQ predicts the daily maximum about an hour earlier than observed. For most of the 

other species presented here, CMAQ tends to predict two daily peaks, one morning and 

one late afternoon. For some species, such as PM2.5 mass the observed concentration on 

a composite basis has very little diurnal variation. On the other hand, primary pollutants 

like CO, NO, and ethane, CMAQ exhibits qualitative agreement with the observations. 

Daily average concentrations of co-pollutant trace gases

Composite daily average predicted and observed concentrations of CO, NO, NO2, 

SO2, C2H4, HCHO, and C5H8 across the OTR are displayed in Figures 18-24. Daily 

average concentrations of the criteria gases, C2H4 and C5H8 were computed from hourly 

averages, and only those days having at least 12 hours of valid observed data were 

considered here. The HCHO data shown here are based on 24-hour average values every 

6th day. The criteria gas data cover the period May 15 – September 30, whereas the 

NMHC data only cover the June 1 – August 31 period, since these data are predominantly 

PAMS data; however, excluded from this analysis is the July 6-9 period when many sites 

across the eastern US were affected by large forest fires in Quebec. 

Table 2 lists the median and range in mean fractionalized bias calculated at each 

site over the season used in this analysis. The values listed in Table 2 were computed at 

each site over the entire season. While the range in MFB is rather large for each species 

across all sites, the median MFB was below 50% for all species except C2H4, which is 

substantially overpredicted by CMAQ. It should be noted that these species can vary 

substantially from day to day, and days with very low modeled or observed values can 

contribute to high MFB. 

PM2.5 mass and speciation

Composite daily average predicted and observed concentrations of PM2.5 mass 

(both daily average FRM data and continuous data), as well as major speciation –SO4, 

NO3, NH4, EC, OM (defined here operationally as 1.8×blank-corrected organic carbon), 

and crustal mass (sum of oxides of Al, Ca, Fe, Si, and Ti) – across the OTR were 

compared in this analysis. The data cover the period May 15 – September 30, and again 

the July 6-9 period was excluded, when numerous sites in the eastern US were affected 

Appendix G Attachment 14 - Page Number:

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by large forest fires in Quebec. The continuous and FRM PM2.5 data are shown every 

day, since there are ample daily FRM sites across the OTR. The speciation data included 

here are daily averages every third day, and consist of the largely urban EPA STN and 

the largely rural IMPROVE network. The two speciation networks collect PM2.5, SO4, 

NO3, EC, OM, and crustal mass, while only the STN reports NH4 at a sufficient number 

of locations. 

Table 3 lists the median and range in mean fractionalized bias calculated at each 

site over the season used in this analysis. The values listed in Table 3 were computed at 

each site over the entire season. Figures 25-39 display time series of composite average 

observed and predicted daily concentrations; in these figures, for each day the statistics 

were computed using all monitors with valid data. The best qualitative agreement 

between observed and modeled concentrations is exhibited for PM2.5 and SO4. Note that 

in the case of crustal mass, the data from July 4 are also not included since this day is 

greatly affected by fireworks. On July 4, the composite average observed and predicted 

crustal concentrations were 4.59 μg m-3 and 1.74 μg m-3, respectively at the STN 

monitors, and 4.46 μg m-3 and 0.99 μg m-3, respectively at the IMPROVE monitors. 

 As with the gaseous co-pollutant data, there is a substantial spread in MFB across 

the sites. However, the median MFB for PM2.5 mass and SO4 was generally small 

(<12%) for both urban and rural sites. CMAQ tends to overpredict NO3, more so at the 

IMPROVE sites. CMAQ also tends to underpredict OM at both urban and rural sites, 

although some of this discrepancy may be attributed to the fact that OM is operationally 

defined and is highly dependent on the blank correction and multiplier to account for 

other components of OM not directly measured. CMAQ tends to overpredict both EC 

and crustal mass, especially at urban sites; similar to OM, the crustal mass overprediction 

is related to the fact that this parameter is operationally defined. 

Wet deposition of sulfate, nitrate, and ammonium

Observed and predicted wet deposition of SO4, NO3, and NH4 were compared 

over the period May 14 – September 30. For this analysis, weekly or event-based wet 

deposition amounts from the NADP/NTN (43 sites), NADP/AIRMoN (7 sites), and New 

York State DEC (19 sites) covering the entire OTR plus all of VA and WV were 

integrated over the four-and-a-half months. Because the observed weekly wet deposition 

samples did include July 6-9, the corresponding CMAQ predictions also include this 

period. Table 4 lists the model evaluation statistics for integrated wet deposition of SO4, 

NO3, and NH4 at each site over the season, while Figures 40-42 compare the observed 

and predicted weekly values relative to the 1:1 line. 

Overall CMAQ tended to overpredict wet deposition of these ions. On a 

percentage basis, the overprediction was least for SO4 and highest for NO3. The NME, 

MNGE, MNB, and NMB were less than 50% for the three ions. Given that precipitation 

is very difficult to predict, especially during the summer months when rainfall can vary 

tremendously over a 12 km by 12 km area represented by this model grid, CMAQ did a 

rather good job reproducing seasonal wet deposition over the OTR. 

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Upper-air O3, CO, and SO2 data

The University of Maryland operated an instrumented light aircraft during the 

summer of 2002. On 26 days from May-August meteorological, trace gas, and particle 

scattering/absorption data were collected during ascent or descent spirals over 41 regional 

airports. In all, 144 spirals were performed from near the surface to about 3 km above 

ground level. For this analysis, composite average profiles of O3, CO, and SO2 were 

created over three time periods: “morning” (08-11 EST), “afternoon” (12-16 EST), and 

“evening” (17-19 EST). The minute average observed concentrations were aggregated 

into layer averages, which correspond to the lowest 15 model layers. Model layers are 

increasingly thick away from the surface; the surface layer is about 20 m thick while the 

15th layer is about 500 m thick (and centered about 2.8 km above the ground). 

Figures 43-51 display the observed and predicted composite vertical profiles of O3, CO, 

and SO2 for the three time periods. In terms of profile shape, CMAQ was in good 

qualitative agreement for all three species above the surface during the afternoon hours. 

For CO, the model tends to greatly underpredict observed levels near the surface, 

whereas the predicted O3 and SO2 concentrations are closer to the respective observed 

values. 

Summary

 Various model evaluation statistics are presented here for a variety of gaseous and 

aerosol species in addition to O3. In general, the CMAQ results were best for daily 

maximum O3 and daily average PM2.5 and SO4 mass. Many other species vary 

tremendously over the course of a day, or from day to day, and small model over- or 

underprediction at low concentrations can lead to large biases on a composite basis. It is 

important to demonstrate that the model performs reasonably over the diurnal cycle, not 

just in terms of daily maximum or average values. Also, it is important to demonstrate 

that the model can reproduce concentrations above the ground level.

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Table 1. Median and range in fractional error (FE, %) and mean fractionalized bias 

(MFB, %) for daily maximum 8-hour O3 using the 40 ppb and 60 ppb observed 

thresholds. The values using only SLAMS/NAMS sites are boldfaced, the values using 

all sites are in regular font. 

Metric, threshold Range (%) Median (%) 

FE, 40 ppb +10 to +34% 

+10 to +32% 

+15% 

+15% 

MFB, 40 ppb -34 to +23% 

-29 to +23% 

-6% 

-6% 

FE, 60 ppb +9 to +40% 

+9 to +40% 

+15% 

+15% 

MFB, 60 ppb -40 to +22% 

-40 to +22% 

-12% 

-11% 

Table 2. Median and range in mean fractionalized bias (%) for daily average CO, NO, 

NO2, SO2, C2H4, HCHO, and C5H8. 

Pollutant Range in MFB (%) Median MFB (%) 

CO (97 sites) -128 to +144% -10% 

NO (75 sites) -182 to +116% -46% 

NO2 (97 sites) -125 to +107% +13% 

SO2 (134 sites) -139 to 140% +3% 

C2H4 (19 sites) +28 to +168% +86% 

HCHO (18 sites) -66 to +96% -13% 

C5H8 (19 sites) -54 to +165% +43% 

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Table 3. Median and range in mean fractionalized bias (%) for daily average PM2.5, SO4, 

NO3, NH4, EC, and OM. 

Pollutant Range in MFB (%) Median MFB (%) 

PM2.5 (FRM; 257 sites) -59 to +119% -4% 

PM2.5 (continuous; 57 sites) -39 to +85% +5% 

STN PM2.5 (49 sites) -45 to +102% -9% 

IMPROVE PM2.5 (21 sites) -36 to +19% -10% 

STN SO4 (49 sites) -21 to +60% +12% 

IMPROVE SO4 (21 sites) -26 to +16% -7% 

STN NO3 (49 sites) -73 to +406% +25% 

IMPROVE NO3 (21 sites) -57 to +358% +64% 

STN NH4 (49 sites) -36 to +112% +16% 

STN EC (49 sites) -42 to +269% +34% 

IMPROVE EC (21 sites) -60 to +146% -27% 

STN OM (49 sites) -82 to -25% -58% 

IMPROVE OM (21 sites) -60 to +7% -40% 

STN crustal (49 sites) +2 to +546% +182% 

IMPROVE crustal (21 sites) -18 to +163% +38% 

Table 4. Model evaluation statistics for integrated wet deposition of SO4, NO3, and NH4 

. 

Parameter SO4 NO3 NH4

Observed average, mg m-2 1063 704 185 

Predicted average, mg m-2 946 367 117 

Correlation coefficient, R2 0.17 0.22 0.12 

NME, % 34 49 48 

RMSE, mg m-2 490 417 109 

FE, % 36 62 57 

MAGE, mg m-2 365 344 89 

MNGE, % 36 45 46 

MB, mg m-2 -118 -337 -68 

MNB, % -3 -44 -28 

MFB, % -13 -61 -44 

NMB, % -11 -48 -37 

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Figure 1. 

Observed and Predicted averages

208 SLAMS/NAMS sites; 40 ppb threshold

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Observed and Predicted averages

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Figure 3. 

Observed and Predicted averages

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Figure 4. 

Observed and Predicted averages

28 special sites; 60 ppb threshold

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Figure 9. 

Ozone (SLAMS/NAMS) - 208 sites

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Figure 10. 

Ozone (CASTNet & others) - 28 sites

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Appendix G Attachment 14 - Page Number:

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Figure 11. 

Continuous PM2.5 mass - 57 sites

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Figure 12. 

Carbon monoxide - 97 sites

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Figure 13. 

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Figure 14. 

Nitrogen dioxide - 97 sites

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Figure 15. 

Sulfur dioxide - 134 sites

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Figure 16. 

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Appendix G Attachment 14 - Page Number:

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Figure 17. 

Isoprene - 19 sites

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Figure 18. 

Observed and Predicted average CO (97 sites)

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Appendix G Attachment 14 - Page Number:

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Figure 19. 

Observed and Predicted average NO (75 sites)

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Figure 20. 

Observed and Predicted average NO2 (97 sites)

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Appendix G Attachment 14 - Page Number:

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22

Figure 21. 

Observed and Predicted average SO2 (134 sites)

0

1

2

3

4

5

6

7

8

20020515

20020523

20020531

20020608

20020616

2002062420020702

20020710

20020718

20020726

20020803

2002081120020819

20020827

20020904

20020912

20020920

20020928

ppb

obs avg, ppb

CMAQ avg, ppb

Figure 22. 

Observed and Predicted C2H4 (19 sites)

0

0.5

1

1.5

2

2.5

20020601

20020606

2002061120020616

20020621

20020626

20020701

20020706

20020711

20020716

20020721

20020726

20020731

20020805

20020810

20020815

2002082020020825

20020830

ppb

obs avg, ppb

CMAQ avg, ppb

Appendix G Attachment 14 - Page Number:

46
23

Figure 23. 

Observed and Predicted HCHO (18 sites)

0

1

2

3

4

5

6

7

8

9

20020601

20020607

20020613

20020619

20020625

20020701

20020707

20020713

20020719

20020725

20020731

20020806

20020812

20020818

20020824

20020830

ppb

obs avg, ppb

CMAQ avg, ppb

Figure 24. 

Observed and Predicted C5H8 (19 sites)

0

0.5

1

1.5

2

2.5

3

20020601

20020606

2002061120020616

20020621

20020626

20020701

20020706

20020711

20020716

20020721

20020726

20020731

20020805

20020810

20020815

20020820

20020825

20020830

ppb

obs avg, ppb

CMAQ avg, ppb

Appendix G Attachment 14 - Page Number:

47
24

Figure 25. 

Observed and Predicted PM2.5 (FRM; 257 sites)

0

5

10

15

20

25

30

35

40

45

20020515

20020523

20020531

20020608

20020616

20020624

20020702

20020710

20020718

20020726

20020803

20020811

20020819

20020827

20020904

20020912

20020920

20020928

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 26. 

Observed and Predicted PM2.5 (continuous; 57 sites)

0

5

10

15

20

25

30

35

40

45

20020515

20020523

20020531

20020608

20020616

20020624

20020702

20020710

20020718

20020726

20020803

20020811

20020819

20020827

20020904

20020912

20020920

20020928

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

48
25

Figure 27. 

Observed and Predicted PM2.5 (STN; 49 sites)

0

5

10

15

20

25

30

35

40

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

2002091120020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 28. 

Observed and Predicted PM2.5 (IMPROVE; 21 sites)

0

5

10

15

20

25

30

20020517

2002052620020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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26

Figure 29. 

Observed and Predicted SO4 (STN; 49 sites)

0

5

10

15

20

25

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 30. 

Observed and Predicted SO4 (IMPROVE; 21 sites)

0

2

4

6

8

10

12

14

16

18

20020517

2002052620020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

mg m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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27

Figure 31. 

Observed and Predicted NO3 (STN; 49 sites)

0

0.5

1

1.5

2

2.5

3

3.5

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 32. 

Observed and Predicted NO3 (IMPROVE; 21 sites)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

20020517

2002052620020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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28

Figure 33. 

Observed and Predicted NH4 (STN; 49 sites)

0

1

2

3

4

5

6

7

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 34. 

Observed and Predicted EC (STN; 49 sites)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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29

Figure 35. 

Observed and Predicted EC (IMPROVE; 21 sites)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

 

Figure 36. 

Observed and Predicted OM (STN; 49 sites)

0

2

4

6

8

10

12

14

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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30

Figure 37. 

Observed and Predicted OM (IMPROVE; 21 sites)

0

1

2

3

4

5

6

7

8

9

10

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

 

Figure 38. 

Observed and Predicted crustal (STN; 49 sites)

0

0.5

1

1.5

2

2.5

3

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Appendix G Attachment 14 - Page Number:

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31

Figure 39. 

Observed and Predicted crustal (IMPROVE; 21 sites)

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

20020517

20020526

20020604

20020613

20020622

20020701

20020710

20020719

20020728

20020806

20020815

20020824

20020902

20020911

20020920

20020929

μ g m -3

obs avg, ug/m3

CMAQ avg, ug/m3

Figure 40. 

Wet SO4 Deposition

0

500

1000

1500

2000

2500

0 500 1000 1500 2000 2500

Observed (mg/m2

)

Predicted (mg/m 2

)

Appendix G Attachment 14 - Page Number:

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32

Figure 41. 

Wet NO3 Deposition

0

200

400

600

800

1000

1200

1400

1600

0 200 400 600 800 1000 1200 1400 1600

Observed (mg/m2

)

Predicted (mg/m 2

)

Figure 42. 

Wet NH4 Deposition

0

50

100

150

200

250

300

350

400

450

500

0 50 100 150 200 250 300 350 400 450 500

Observed (mg/m2

)

Predicted (mg/m 2

)

Appendix G Attachment 14 - Page Number:

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33

Figure 43. 

Figure 44. 

 

Morning (08-11 EST)

0

500

1000

1500

2000

2500

3000

40 45 50 55 60 65 70

O3 (ppb)

Z (m)

observed CMAQ

Afternoon (12-16 EST)

0

500

1000

1500

2000

2500

3000

50 60 70 80 90

O3 (ppb)

Z (m)

observed CMAQ

Appendix G Attachment 14 - Page Number:

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34

Figure 45. 

 

Figure 46. 

 

Evening (17-19 EST)

0

500

1000

1500

2000

2500

3000

40 50 60 70 80 90

O3 (ppb)

Z (m)

observed CMAQ

Morning (08-11 EST)

0

500

1000

1500

2000

2500

3000

0 100 200 300 400 500

CO (ppb)

Z (m)

observed CMAQ

Appendix G Attachment 14 - Page Number:

58
35

Figure 47. 

Figure 48. 

 

Afternoon (12-16 EST)

0

500

1000

1500

2000

2500

3000

0 100 200 300 400 500

CO (ppb)

Z (m)

observed CMAQ

Evening (17-19 EST)

0

500

1000

1500

2000

2500

3000

0 100 200 300 400 500 600

CO (ppb)

Z (m)

observed CMAQ

Appendix G Attachment 14 - Page Number:

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36

Figure 49. 

Figure 50. 

 

Morning (08-11 EST)

0

500

1000

1500

2000

2500

3000

0123456

SO2 (ppb)

Z (m)

observed CMAQ

Afternooon (12-16 EST)

0

500

1000

1500

2000

2500

3000

0123456

SO2 (ppb)

Z (m)

observed CMAQ

Appendix G Attachment 14 - Page Number:

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37

Figure 51. 

Evening (17-19 EST)

0

500

1000

1500

2000

2500

3000

012345

SO2 (ppb)

Z (m)

observed CMAQ

Appendix G Attachment 14 - Page Number:

61
TSD-1f 

Future Year Emissions Inventory for 

8-Hr OTC Ozone Modeling 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

February 22, 2007 

 

Appendix G Attachment 14 - Page Number:

62
Following the designation of an area as non-attainment for the criteria pollutant Ozone, 

the Clean Air Act requires submission of an implementation plan, commonly referred to 

as State Implementation Plan (SIP), demonstrating as to how that area will be meeting the 

NAAQS in the time period established by the Act. Several areas of the OTR were 

designated as being in nonattainment for 8-hr ozone (see 

http://www.epa.gov/ozonedesignations/) with a maximum attainment date of June 2009 

and June 2010. However, given that ozone precursors also contribute to PM2.5 and other 

logistics, it was recommended and agreed by the member states that the future year for 

demonstrating attainment would be 2009. Therefore the OTR states initiated the 

development of emissions inventories reflecting growth and control from 2002 to 2009 as 

well as for 2012 and 2018. The 2018 inventory was in response to the need for 

submission of regional haze SIP, and the 2012 as a next step in the event that attainment 

for ozone was not feasible in 2009. 

Future year emissions inventories within the OTR

The OTR states through MANE-VU contracted MACTEC Federal Programs (called 

Contractor) develop the 2009, 2012 and 2018 inventories based upon 2002 inventories 

that the states had previously developed for use in the base year model work. The 

Contractor in consultation with the states developed the necessary growth and control 

factors and applied to the 2002 inventory. It should be noted that emissions for mobile 

sources and the electric energy generating units (EGUs) was not part of the Contractor’s 

effort. The states provided VADEQ and NESCAUM appropriate MOBILE 6 input files 

along with the projected VMTs, which coupled with the hourly gridded temperature 

information was used to generate mobile source emissions. As for the emissions from the 

EGU sector, the inter-RPO work group utilized the Integrated Planning Model (IPM) to 

develop the state and unit-level emissions. Details on these topics can be found in 

MACTEC (2007a) for non-EGU sectors and in ICF (2006) for the EGU sector. These 

inventories are identified as 2009 on the way (2009OTW), since they reflect all emission 

control measures that were promulgated or would become effective on or before 2009. 

In addition to these OTW inventories, states have also requested the development of what 

is termed as beyond on the way (BOTW) inventories for 2009, 2012, and 2018. These 

inventories are to be based on additional OTC model rules, which would result in 

reduction in emissions from specific source categories. Details on the development of 

these controls and the corresponding inventories can be found in MACTEC (2007b). 

Future year emission inventories outside the OTR

MANE-VU obtained inventories for 2009OTW and 2018OTW as part of the inter-RPO 

workgroup. However, only MRPO provided emissions for 2012OTW. For the VISTAS 

region, 2012 emissions were obtained by interpolating area, nonroad, and non-EGU 

emissions between 2009 and 2018. For mobile sources, VMT were interpolated between 

2009 and 2018 and the 2012 emissions were calculated with MOBILE6 using these 

interpolated VMT and 2012 emission factors. For the CENRAP region, no 2012 

Appendix G Attachment 14 - Page Number:

63
emissions were generated, and therefore the 2009 emissions were used in the 2012 

CMAQ simulation. 

Canadian Emissions

In the case of Canadian emissions, 2010 and 2020 area, non-road, and mobile source 

emissions were obtained from USEPA 

(ftp://ftp.epa.gov/EmisInventory/canada_2000inventory/). 

Primary PM2.5 and PM10 emissions for the SCCs listed in 

http://www.epa.gov/ttn/chief/emch/invent/tf_scc_list2002nei_v2.xls were divided by a 

factor of 4 to account for the fugitive dust transport fraction correction. EGU point source 

emissions for 2010 and 2020 were obtained from Environment Canada (Bloomer, 2006), 

while non-EGU point source emissions were assumed to be the same as those developed 

for 2002 and described elsewhere (see TSD-1c). The 2010 inventories were used in 

preparing CMAQ input files for the 2009OTW, 2009BOTW, and 2012BOTW scenarios. 

Emissions processing – Application of SMOKE

The 2009OTW, 2009BOTW, and 2012 BOTW inventories were processed by VADEQ 

and NYSDEC using a template similar to that was used for processing 2002 base year 

emissions (see TSD-1d) for the 12 km domain. In particular, all gridding and speciation 

profiles and cross-reference files as well as all temporal allocation profiles and crossreference files used in the 2002 processing were also used for future year processing. For 

each day, the following files were prepared: 

2009OTW: 

• MANE-VU 

o 2009 OTW V3 area source (VADEQ) 

o 2009 V3 nonroad source (VADEQ) 

o 2009 mobile source (NYSDEC) 

o 2009 OTW V3 non-EGU point source (VADEQ) 

o 2009 IPM2.1.9. EGU point source (VADEQ) 

o 2009 EGU point source, IPM2.1.9. non-fossil fuel units (VADEQ) 

• VISTAS 

o 2009 BaseG area source (VADEQ) 

o 2009 BaseG nonroad source (VADEQ) 

o 2009 BaseG non-EGU point source (VADEQ) 

o 2009 IPM2.1.9. EGU point source (incl. post-IPM adjustments) (VADEQ) 

o 2009 BaseG low-level fires (VADEQ) 

o 2009 BaseG elevated source fires (VADEQ) 

• MRPO 

o 2009 BaseK area source (NYSDEC) 

o 2009 BaseK area source NH3/dust (NYSDEC) 

o 2009 BaseK nonroad source (NYSDEC) 

o 2009 non-EGU point source (VADEQ) 

Appendix G Attachment 14 - Page Number:

64
o 2009 IPM2.1.9. EGU point source (incl. post-IPM adjustments) (VADEQ) 

• CENRAP 

o 2009 BaseB area source (VADEQ) 

o 2009 BaseB nonroad source (VADEQ) 

o 2009 non-EGU point source (VADEQ) 

o 2009 IPM2.1.9. EGU point source (VADEQ) 

• VISTAS/MRPO/CENRAP (“non-MANE-VU RPOs”) 

o 2009 mobile sources for all non-MANE-VU RPOs as implemented in 

VISTAS 2009 BaseG processing (VADEQ) 

• Canada 

o 2010 area sources (NYSDEC) 

o 2010 nonroad sources (NYSDEC) 

o 2010 mobile sources (NYSDEC) 

o point sources (2002 non-EGU point sources; 2010 EGU point sources 

from IPM) (NYSDEC) 

• Biogenics 

o Same as for 2002 base case, calculated with hourly MM5 meteorological 

fields for 2002 (NYSDEC) 

2009 BOTW: 

As above for 2009 OTW, with the following two exceptions: 

• MANE-VU 

o 2009 BOTW V3 area source (NYSDEC) 

o 2009 BOTW V3 non-EGU point source (NYSDEC) 

2012 BOTW: 

• MANE-VU 

o 2012 OTW V3 area source (NYSDEC) 

o 2012 V3 nonroad source (NYSDEC) 

o 2012 mobile source (NYSDEC) 

o 2012 OTW V3 non-EGU point source (NYSDEC) 

o 2012 IPM2.1.9. EGU point source (NYSDEC) 

o 2009 EGU point source, IPM2.1.9. non-fossil fuel units (VADEQ) 

• VISTAS 

o 2012 BaseG area source (interpolated between 2009 BaseG and 2018 

BaseG) (NYSDEC) 

o 2012 BaseG nonroad source (interpolated between 2009 BaseG and 2018 

BaseG) (NYSDEC) 

o 2012 BaseG mobile source (interpolated VMT between 2009 BaseG and 

2018 BaseG) (NYSDEC) 

o 2012 BaseG non-EGU point source (interpolated between 2009 BaseG 

and 2018 BaseG) (NYSDEC) 

Appendix G Attachment 14 - Page Number:

65
o 2012 IPM2.1.9. EGU point source (incl. post-IPM adjustments) 

(NYSDEC) 

o 2009 BaseG low-level fires (VADEQ) 

o 2009 BaseG elevated source fires (VADEQ) 

• MRPO 

o 2012 BaseK area source (NYSDEC) 

o 2012 BaseK area source NH3/dust (NYSDEC) 

o 2012 BaseK nonroad source (NYSDEC) 

o 2012 BaseK nonroad source (NYSDEC) 

o 2012 non-EGU point source (NYSDEC) 

o 2012 IPM2.1.9. EGU point source (incl. post-IPM adjustments) 

(NYSDEC) 

• CENRAP 

o 2009 BaseB area source (VADEQ) 

o 2009 BaseB nonroad source (VADEQ) 

o 2009 mobile source (based on VISTAS 2009 BaseG processing) 

(NYSDEC) 

o 2009 non-EGU point source (VADEQ) 

o 2009 IPM2.1.9. EGU point source (VADEQ) 

• Canada 

o 2010 area sources (NYSDEC) 

o 2010 nonroad sources (NYSDEC) 

o 2010 mobile sources (NYSDEC) 

o point sources (2002 non-EGU point sources; 2010 EGU point sources 

from IPM) (NYSDEC) 

• Biogenics 

o Same as for 2002 base case, calculated with hourly MM5 meteorological 

fields for 2002 

References

ICF (2006) 

MACTEC (2007a) 

MACTEC (2007b) 

Bloomer, Bryan (2006) Bloomer.Bryan@epamail.epa.gov Personal communication to 

Gopal Sistla (gsistla@dec.state.ny.us) 

TSD-1c (2007) Emission Processing for the Revised 2002 OTC Regional and Urban 12 

km Base Case Simulations 

Appendix G Attachment 14 - Page Number:

66
TSD-1d (2007) 8hr Ozone Modeling using the SMOKE/CMAQ system 

 

 

Appendix G Attachment 14 - Page Number:

67
1

TSD-1g 

Relative reduction factor (RRF) and “Modeled Attainment Test” 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

Appendix G Attachment 14 - Page Number:

68
2

EPA guidance (EPA 2005) and the subsequent document (EPA 2006) require the use of a 

modeled attainment test which is described as a procedure in which an air quality model 

is used to simulate current and future air quality. If future estimates of ozone 

concentrations are <= 84 ppb, then this element of the attainment test is satisfied. A 

modeled attainment demonstration that consists of (a) analyses which estimate whether 

selected emissions reductions will result in ambient concentrations that meet the NAAQS 

or progress goals and (b) an identified set of control measures which will result in the 

required emissions reductions is provided elsewhere. 

For this modeled attainment test, model estimates are used in a “relative” rather than 

“absolute” sense. That is, one calculates the ratio of the model’s future to current 

(baseline) predictions at ozone monitors. These ratios are called relative reduction factors 

(RRF). Future ozone concentrations are estimated at existing monitoring sites by 

multiplying modeled RRF at locations “near” each monitor by the observation-based 

monitor-specific “baseline” ozone design value. Therefore, the following equation 

describes approach as applied to a monitoring site i: 

(DVF)i = (RRF)i x (DVC)i (Equation 1) 

Where (DVC)i is the baseline concentration monitored at site i; (RRF)i is the relative 

reduction factor, calculated for site i, and (DVF)i is the estimated future design value for 

site i. The RRF is the ratio of the future 8-hour daily maximum concentration predicted at 

a monitor to the baseline 8-hour daily maximum concentration predicted at the monitor 

location averaged over multiple days determined from the base case. 

The following sections describe the calculation of each of the elements in Equation 1 as 

implemented by NYSDEC through an in-house computer program (fortran). Note, the 

subscript “i” from equation is dropped in the following description. However, all 

calculations are still performed on a monitor-by-monitor basis. 

1. Calculation of DVC

Design values (DV) at each monitoring site are calculated in accordance with 40 CFR 

Part 50.10, Appendix I. The DV is calculated as the 3 year average of the fourth highest 

monitored daily 8-hour maximum value at each monitoring site. For example, the design 

value for the 2000-2002 is the average of the fourth highest monitored daily 8-hour 

maximum values in 2000, 2001 and 2002. Design values are labeled with the last year of 

the design value period, i.e. the design value for the 2000 – 2002 is labeled as “2002 

design value”. 

For the “modeled attainment test”, the guidance defines the DVC in Equation 1 as the 

average of the design values, which straddle the baseline inventory year. In our case, the 

baseline inventory year is 2002. Therefore, DVC is the average of the “2002 design 

value” (determined from 2000-2002 observations), the “2003 design value” (determined 

from 2001-2003 observations), and the “2004 design value” (determined from 2002-2004 

observations). Consequently, DVC is derived from observations covering a five year 

Appendix G Attachment 14 - Page Number:

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3

period and is a weighted average with 2002 observations “weighted” three times, 2001 

and 2003 observations weighted twice, and 2000 and 2004 observations weighted once. 

The following criteria concerning missing DV were implemented in the fortran code 

calculating DVC: 

• For monitors with only four years of consecutive data, the guidance allows DVC 

to be computed as the average of two DV within that period. 

• For monitors with only three years of consecutive data, the DVC is equal to the 

DV calculated for that three year period 

• For monitors with less than three years of consecutive data, no DVC can be 

estimated 

2. Calculation of RRF

The guidance requires the calculation of RRF with CMAQ output from grids that are 

“near” a monitor. Because of the 12km grid spacing used in the CMAQ simulations, 

model predictions in a 3*3 grid array centered on the monitoring location are considered 

“near” that monitor. For each day, the maximum base case and control case concentration 

within that array is selected for RRF calculation as set forth in the guidance document. 

Because photochemical models were found to be less responsive to emission reductions 

on days of lower simulated ozone concentrations, the guidance recommends applying 

screening criteria to the daily model predictions at individual monitors to determine 

whether that day’s predictions are to be used to calculate the RRF or not. Only “high 

ozone days” are to be selected: 

RRF = (average control case over high ozone days selected based on base case 

concentrations) / (average base case over selected high ozone days) 

In addition, the guidance recommends that preferably ten or more “high ozone days”, as 

identified below, be selected for RRF calculation. In no case can the RRF be calculated 

with fewer than five “high ozone days”. 

The following describes the logic with which NYSDEC implemented these screening 

criteria into its Fortran code for RRF calculation: 

a. Selecting concentrations from grid cells surrounding the monitor

i. Determine the grid cell in which the monitor is located and include the 

surrounding 8 grid cells to form a 3*3 grid cell array 

ii. Determine daily maximum 8-hr ozone concentrations for each day for each of 

the 9 grid cells for both the base case and control case 

Appendix G Attachment 14 - Page Number:

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4

iii. For each day, pick the highest daily maximum 8-hr ozone value out of all 9 grid 

cells. This is the daily maximum 8-hr ozone concentration for that monitor for 

that day to be used in RRF calculations (following the screening criteria below). 

iv. This is done for both the base case and the control case. Note that the grid cell 

selected on any given day for the base case need not be the same as the grid cell 

selected for the same day in the control case. 

b. Selecting modeling days to be used in the RRF computation (again, this is done 

on a monitor-by-monitor basis)

i. Starting with a ozone threshold (TO3) of 85 ppb and a minimum required 

number of days (Dmin) of 10, determine all days for which the simulated base 

case concentration (as determined in step (a) is at or above the threshold TO3. 

ii. If the number of such days is greater to or equal Dmin, identify these days and 

proceed to step (c). Otherwise, continue to b(iii), below. 

iii. Lower the threshold (TO3) by 1ppb interval and go back to b(i) to identify the 

days. If the minimum number of days is not reached then reduce that 

requirement by 1 but no lower than 5 days and with TO3 > =70 ppb and go back 

to b(i). Otherwise proceed to b(iv) below. 

iv. Stop. No RRF can be calculated for this monitor because there were less than 5 

days with base case daily maximum concentration > =70 ppb. 

c. RRF computation: Compute the RRF by averaging the daily maximum 8-hr ozone 

concentrations for base case and control case determined in step (a) over all of the 

days determined in step (b). The RRF is the ratio of average control case 

concentrations over average base case concentrations. 

3. Computation of DVF

Compute DVF as the product of DVC from step (1) and RRF from step (2). Note, the 

following conventions on numerical precision (truncation, rounding) were applied: 

a. DV are truncated in accordance with 40 CFR Part 50.10, Appendix I. This applies 

to the “2002 DV”, the “2003 DV”, and the “2004 DV” 

b. DVC (averages of DV over multiple years) are calculated in ppb and carried to 1 

significant digit 

c. RRF are calculated and carried to three significant digits 

d. DVF is calculated by multiplying DVC with RRF, followed by truncation 

Appendix G Attachment 14 - Page Number:

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5

References 

EPA (2005) Guidance on the Use of Models and Other Analyses in Attainment 

Demonstrations for the 8-hour Ozone NAAQS. EPA-454/R-05-002. 

EPA (2006) Guidance on the use of Models and Other Analyses for Demonstrating 

Attainment of Air Quality Goals for Ozone, PM2.5 and Regional Haze. Draft 3.2-

September 2006. 

Appendix G Attachment 14 - Page Number:

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1

 TSD-1h 

Projected 8-h ozone air quality over the Ozone 

Transport Region 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

Appendix G Attachment 14 - Page Number:

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2

The USEPA guidance (EPA 2005 and EPA 2006) recommends the use of relative 

reduction factor (RRF) approach for demonstrating the attainment of the 8-hr ozone 

NAAQS. The OTC Modeling committee implemented this recommended approach in 

performing attainment assessment of the areas. 

Attainment year 2009

As described in TSD-1g (2007), the RRFs were determined for all OTR monitors for the 

two future year simulations with 2009OTW and 2009BOTW emissions data. The base 

design value (DVc) for 2002 representing the number of DVs estimated on the basis of 3-

yr averages available from 2000 to 2004 are listed in Tables 1 and 2 along with the RRF, 

the number of days, the level of threshold, and future year projected concentrations for 

each monitor identified by its AIRS ID, common name and the county. The values in 

bold represent projected design values that exceed the 8-hr ozone NAAQS. 

In general both simulations do not fifer much from each other in that they yield similar 

design values with the 2009BOTW providing concentrations that are about one or two 

ppb lower than the 2009OTW. However it should be noted that the Guidance provides for 

a window (82 to 87 ppb) that can be considered as demonstrating attainment provided 

there is sufficient information to support in the form of weight of evidence (WOE) that 

suggests that the projected design value would be at or less than the 8-hr ozone NAAQS, 

taking into consideration the current measured design value and other projected 

emissions reductions within and outside the modeling domain. 

If such a consideration is given then there are only 6 monitors above 87 ppb in the OTR, 

and without such an option of WOE there would be 21 monitors that have projected 

design value above 84 ppb. It should be noted that in either case, a majority of them are 

located in the Baltimore–Philadelphia-New York City-Connecticut portion of inner OTR 

corridor associated with high emissions region. 

These Tables also list monitors for which no future DV (DVF) was calculated, listed as -9 

in all columns except for DVC, which is a limitation inherent in the method for 

calculating the RRF. Often these monitors have DVC less than 84 ppb, with the exception 

of the monitor at the summit of Whiteface, NY (360310002), that has a DVC of 88.3 ppb 

while at the base of Whiteface (360311003) the measured DVC is 84.3 ppb. In both 

instances, there were fewer than 5 days that the model simulation predicted base 

concentrations in the 9-grid cells surrounding these monitors was below the threshold of 

70 ppb, resulting in assigning no RRF and no estimate of DVF for these monitors. 

Attainment year 2012

 

One other option that was considered by the OTC Modeling committee is the simulation 

of 2012BOTW emissions within the OTR. The details of the development of the 

2012BOTW inventory are provided in TSD-1f (2007). The CMAQ simulation was 

performed with the 2012BOTW emissions in the OTR with the remainder of the 

Appendix G Attachment 14 - Page Number:

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3

modeling domain also at 2012 emissions. The results of the simulation were processed in 

a manner similar to those of 2009 and the resulting future year design values are listed in 

Table 3 in a format similar to those in Tables 1 and 2. 

The listed future DVs indicate that there are 5 monitors that would have a projected 

design value above 84 ppb, again located in the inner OTR corridor. However it should 

be noted that if consideration is given to these monitors along with WOE then these 

would be within the prescribed range of WOE, thereby demonstrating modeled 

attainment for all monitors in the OTR under this scenario. 

Non-monitored locations

One of the requirements of the EPA guidance is the need to investigate if there are 

locations within the modeling domain where the predicted future design values (DVF) are 

above the level of NAAQS but are not associated with a monitor to provide DVC. While 

the EPA has recommended the use of modeled attainment test software (MATS) to 

investigate such occurrences, it was decided by the Modeling committee that such an 

assessment should be undertaken by the individual areas themselves as part of their SIP 

analysis. 

 References

EPA (2005) Guidance on the Use of Models and Other Analyses in Attainment 

Demonstrations for the 8-hour Ozone NAAQS. EPA-454/R-05-002. 

EPA (2006) Guidance on the use of Models and Other Analyses for Demonstrating 

Attainment of Air Quality Goals for Ozone, PM2.5 and Regional Haze. Draft 3.2-

September 2006. 

TSD-1f (2007) Future Year Emissions Inventory for 8-Hr OTC Ozone Modeling 

TSD-1g (2007) Relative reduction factor (RRF) and “Modeled Attainment Test” 

 

Appendix G Attachment 14 - Page Number:

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Table 1 Projected 8-hr Ozone Design Values over OTR based on 

2009OTW Emissions Inventory 

 

AIRS-ID County Monitor #ofDV DVC DVF RRF #Days Threshold

340290006 Ocean Colliers Mills 3 106 92 0.87 20 85 

90013007 Fairfield Stratford 3 98.3 90 0.922 38 85 

361030009 Suffolk Holtsville 3 97 90 0.928 34 85 

90093002 New Haven Madison 3 98.3 89 0.908 39 85 

340070003 Camden Camden 3 98.3 88 0.9 26 85 

340155001 Gloucester Clarksboro 3 98.3 88 0.9 25 85 

420170012 Bucks Bristol 3 99 88 0.898 25 85 

90010017 Fairfield Greenwich 3 95.7 87 0.915 30 85 

340071001 Camden Ancora St. Hos 3 100.7 87 0.873 27 85 

421010024 Philadelphia Northeast (Air 3 96.7 87 0.903 23 85 

90011123 Fairfield Danbury 3 95.7 86 0.9 18 85 

340210005 Mercer Rider Univ. 3 97 86 0.891 23 85 

510130020 Arlington Arlington Co. 3 96.7 86 0.897 24 85 

510590018 Fairfax Fairfax Co. - 3 96.7 86 0.892 20 85 

90019003 Fairfield Westport 3 94 85 0.911 37 85 

90070007 Middlesex Middletown 3 95.7 85 0.892 21 85 

90099005 New Haven Hamden 3 93.3 85 0.915 25 85 

240251001 Harford Edgewood 3 100.3 85 0.854 41 85 

340030005 Bergen Teaneck 3 91.7 85 0.93 18 85 

361030002 Suffolk Babylon 3 93.7 85 0.917 22 85 

361192004 Westchester White Plains 3 91.3 85 0.936 22 85 

240030014 Anne Arundel Davidsonville 3 98 84 0.86 30 85 

240030019 Anne Arundel Ft. Meade 3 97 84 0.871 30 85 

340230011 Middlesex Rutgers Univ. 3 96 84 0.876 22 85 

340250005 Monmouth Monmouth Univ. 3 95.7 84 0.881 45 85 

340273001 Morris Chester 3 95.3 84 0.884 13 85 

360290002 Erie Amherst 3 95.7 84 0.884 11 78 

360850067 Richmond Susan Wagner 3 93 84 0.905 42 85 

510590030 Fairfax Fairfax Co. - 3 95 84 0.887 21 85 

250213003 Norfolk MILTON 1 91 83 0.914 13 85 

340190001 Hunterdon Flemington 3 95.3 83 0.88 15 85 

510591005 Fairfax Fairfax Co. - 1 94 83 0.887 21 85 

516500004 Hampton City Hampton 3 88.3 83 0.94 36 85 

110010043 DC McMillan Reser 3 92.7 82 0.89 22 85 

240259001 Harford Aldino 3 97 82 0.849 35 85 

240330002 Prince Georges Greenbelt 2 94 82 0.874 28 85 

250092006 Essex LYNN 3 90 82 0.918 16 85 

360631006 Niagara Middleport 3 91.7 82 0.895 15 85 

360790005 Putnam Mt. Ninham 3 91.3 82 0.899 14 85 

420290050 Chester West Chester 1 95 82 0.871 12 85 

421010014 Philadelphia Northwest (Rox 3 90.7 82 0.913 20 85 

440090007 Washington EPA Lab 3 93.3 82 0.879 33 85 

Appendix G Attachment 14 - Page Number:

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518000004 Suffolk City Suffolk - TCC 3 87 82 0.953 26 85 

100031010 New Castle Brandywine 3 92.7 81 0.878 19 85 

240150003 Cecil Fair Hill 3 97.7 81 0.834 18 85 

240338003 Prince Georges PG Coun.Eques. 1 94 81 0.87 28 85 

340110007 Cumberland Millville 3 95.7 81 0.849 16 85 

360130006 Chautauqua Dunkirk 3 93 81 0.878 20 85 

360270007 Dutchess Millbrook 3 92 81 0.882 12 80 

420030010 Allegheny Pittsburgh (Ca 3 90.7 81 0.9 16 85 

420070002 Beaver Hookstown 3 91.3 81 0.89 10 82 

420450002 Delaware Chester 3 91.7 81 0.887 23 85 

420910013 Montgomery Norristown 3 92.3 81 0.886 21 85 

510850003 Hanover Hanover Co. 2 92 81 0.886 11 85 

90131001 Tolland Stafford 3 92.3 80 0.872 11 85 

240053001 Baltimore Essex 3 91.3 80 0.881 48 85 

240290002 Kent Millington 3 95.3 80 0.842 17 85 

250010002 Barnstable TRURO 3 92 80 0.879 23 85 

250051002 Bristol FAIRHAVEN 3 91 80 0.882 23 85 

250130008 Hampden CHICOPEE 3 92 80 0.877 10 83 

250250041 Suffolk BOSTON (Long I 3 88.7 80 0.911 21 85 

360450002 Jefferson Perch River 3 91.3 80 0.879 10 81 

420030008 Allegheny Lawrenceville 3 89.3 80 0.9 16 85 

420030067 Allegheny South Fayette 3 89.3 80 0.899 13 85 

440030002 Kent Alton Jones 3 93.3 80 0.866 17 85 

510360002 Charles City Charles City C 3 89.3 80 0.9 14 85 

515100009 Alexandria Cit Alexandria 3 90 80 0.892 20 85 

90110008 New London Groton 3 90 79 0.883 38 85 

100031007 New Castle Lums Pond 2 94.5 79 0.846 18 85 

100031013 New Castle Bellefonte 3 90.3 79 0.876 21 85 

110010025 DC Takoma Park 3 88.7 79 0.895 24 85 

110010041 DC River Terrace 3 89 79 0.89 22 85 

230090102 Hancock ANP Cadillac M 3 91.7 79 0.871 10 82 

420290100 Chester New Garden (Ai 3 94.7 79 0.839 19 85 

100010002 Kent Killens Pond 3 88.3 78 0.893 25 85 

340315001 Passaic Ramapo 3 86.7 78 0.9 19 85 

360050083 Bronx Botanical Gard 3 83.7 78 0.939 20 85 

420031005 Allegheny Harrison Twp 3 91.3 78 0.864 14 85 

420070005 Beaver Brighton Twp 3 89.7 78 0.876 12 82 

420490003 Erie Erie 3 89 78 0.88 23 85 

420770004 Lehigh Allentown 3 90.7 78 0.87 11 84 

420950025 Northampton Freemansburg 3 90 78 0.874 11 85 

440071010 Providence Francis School 3 89.7 78 0.872 17 85 

510870014 Henrico Henrico Co. 3 88.3 78 0.893 15 85 

511071005 Loudon Loudoun Co. 3 90 78 0.872 15 85 

90031003 Hartford E. Hartford 3 88 77 0.88 16 85 

90050005 Litchfield Cornwall 1 89 77 0.874 11 84 

100051003 Sussex Lewes 3 87 77 0.896 26 85 

230312002 York Kennebunkport 3 88.3 77 0.877 19 85 

240051007 Baltimore Padonia 3 88.7 77 0.874 26 85 

Appendix G Attachment 14 - Page Number:

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340010005 Atlantic Nacote Creek 3 89 77 0.876 27 85 

340170006 Hudson Bayonne 3 84.7 77 0.911 22 85 

420050001 Armstrong Kittanning 3 90.7 77 0.856 11 84 

420550001 Franklin Methodist Hill 3 90.7 77 0.849 11 77 

420710007 Lancaster Lancaster 3 90.7 77 0.853 17 85 

420850100 Mercer Farrell 3 91.3 77 0.85 10 82 

421290008 Westmoreland Greensburg 3 88 77 0.881 18 85 

421330008 York York 3 89 77 0.866 17 85 

510595001 Fairfax Fairfax Co. - 3 88 77 0.886 21 85 

100051002 Sussex Seaford 3 90 76 0.846 10 80 

240170010 Charles S Maryland 3 93 76 0.819 17 85 

240313001 Montgomery Rockville 3 86.7 76 0.885 26 85 

250094004 Essex NEWBURY 3 86 76 0.884 27 85 

360130011 Chautauqua Westfield 3 87 76 0.88 12 85 

420110009 Berks Reading 3 88.7 76 0.861 10 85 

420958000 Northampton Easton 3 88 76 0.873 12 85 

421250005 Washington Charleroi 3 86.3 76 0.883 15 85 

240130001 Carroll South Carroll 3 88.7 75 0.853 12 85 

250154002 Hampshire WARE 3 86.3 75 0.877 10 81 

360551004 Monroe Rochester 3 83.7 75 0.898 18 85 

361030004 Suffolk Riverhead 3 83 75 0.904 36 85 

420590002 Greene Holbrook 3 87.7 75 0.858 10 85 

421010136 Philadelphia Southwest (Elm 3 83 75 0.907 23 85 

510410004 Chesterfield Chesterfield C 3 84.7 75 0.893 10 85 

510590005 Fairfax Fairfax Co. - 3 87 75 0.871 18 85 

511790001 Stafford Stafford Co. 3 86 75 0.878 36 85 

230313002 York Kittery 3 85.3 74 0.871 16 85 

240210037 Frederick Frederick Airp 3 87.3 74 0.858 11 85 

250171102 Middlesex STOW 3 85.7 74 0.875 10 80 

330111010 Hillsborough Nashua 2 86 74 0.871 10 75 

360010012 Albany Loudonville 3 83 74 0.899 8 70 

360810124 Queens Queens College 2 83 74 0.895 26 85 

360910004 Saratoga Stillwater 3 84.7 74 0.878 6 70 

361173001 Wayne Williamson 3 84 74 0.889 18 85 

420431100 Dauphin Hershey 3 86.7 74 0.857 16 85 

421255001 Washington Florence 3 85.7 74 0.868 10 83 

511530009 Prince William Prince William 3 85 74 0.876 12 83 

230052003 Cumberland Cape Elizabeth 3 84.3 73 0.874 18 85 

230130004 Knox Port Clyde 3 83.7 73 0.873 13 85 

240430009 Washington Hagerstown 3 85.3 73 0.857 10 84 

250034002 Berkshire ADAMS 3 83.3 73 0.881 9 70 

330115001 Hillsborough Peterborough 1 84 73 0.877 10 73 

360671015 Onondoga East Syracuse 3 82.3 73 0.896 8 70 

360715001 Orange Valley Central 3 84.7 73 0.87 10 76 

420010002 Adams Biglerville (P 3 85 73 0.868 10 80 

420070014 Beaver Beaver Falls 3 85 73 0.868 10 83 

420430401 Dauphin Harrisburg 3 85 73 0.862 15 85 

421174000 Tioga Tioga County ( 3 85 73 0.859 5 70 

Appendix G Attachment 14 - Page Number:

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421250200 Washington Washington 3 85.3 73 0.86 11 85 

511611004 Roanoke Roanoke Co. 3 83.7 73 0.873 11 76 

230090103 Hancock ANP McFarland 3 83.7 72 0.872 10 82 

250130003 Hampden AGAWAM 1 83 72 0.878 10 83 

250270015 Worcester WORCESTER 3 84 72 0.867 10 79 

330150012 Rockingham Rye 2 83.5 72 0.871 16 85 

420110001 Berks Kutztown 2 84.5 72 0.858 10 85 

420334000 Clearfield Moshannon (PSU 3 87.3 72 0.827 11 76 

421290006 Wetsmoreland Murrysville 3 82 72 0.89 20 85 

510690010 Frederick Frederick Co. 3 82.7 72 0.873 11 81 

518000005 Suffolk City Suffolk - Holl 3 82.3 72 0.878 10 76 

420210011 Cambria Johnstown 3 85 71 0.844 10 85 

420274000 Centre Penn Nursery ( 3 84.7 71 0.85 11 74 

420690101 Lacakawana Peckville 3 83.3 71 0.858 10 75 

420990301 Perry Perry County 3 83.3 71 0.853 10 77 

511130003 Madison Madison Co. - 3 84.7 71 0.845 11 71 

420270100 Centre State College 3 84.3 70 0.839 10 76 

420692006 Lacakawana Scranton 3 82 70 0.858 10 75 

420791101 Luzerene Wilkes-Barre 3 83.7 70 0.844 10 76 

500030004 Bennington Bennington 3 79.7 70 0.888 8 70 

510330001 Caroline Caroline Co. 3 82.3 70 0.852 10 84 

360650004 Oneida Camden 3 79.7 69 0.869 10 70 

420130801 Blair Altoona 3 83.3 69 0.837 10 80 

420810100 Lycoming Montoursville 1 82 69 0.851 11 75 

230112005 Kennebec Gardiner Pray 3 78 68 0.872 10 71 

330150013 Rockingham 999 1 80 68 0.86 10 73 

420791100 Luzerene Nanticoke 3 81.7 68 0.844 10 76 

330173002 Strafford Rochester 2 78.5 67 0.863 11 71 

510610002 Fauqier Fauquier Co. 3 79.3 67 0.852 11 73 

511390004 Page Page Co. 3 79.7 67 0.844 12 72 

250250042 Suffolk BOSTON (Harris 3 73 66 0.91 16 85 

420730015 Lawrence New Castle 3 78.3 66 0.849 10 83 

230090301 Hancock Castine 1 75 65 0.878 10 79 

250150103 Hampshire AMHERST 3 74.7 65 0.878 10 76 

420814000 Lycoming Tiadaghton (PS 3 78.7 65 0.837 10 72 

511630003 Rockbridge Rockbridge Co. 3 76.7 65 0.856 8 70 

230310038 York West Buxton 1 75 64 0.862 9 70 

330050007 Cheshire Keene 3 74.3 64 0.869 10 72 

360430005 Herkimer Nick's Lake 3 74 64 0.874 6 70 

421010004 Philadelphia Frankford (Lab 3 71.3 64 0.908 25 85 

250090005 Essex LAWRENCE 1 70 61 0.883 10 82 

330150015 Rockingham Portsmouth 1 68 59 0.871 16 85 

CC0040002 999 Roosevelt-Camp 3 58.3 51 0.889 10 75 

230038001 Aroostook Ashland135 3 64 -9 -9 -9 -999 

230173001 Oxford North Lovell 3 60.7 -9 -9 -9 -999 

230194007 Penobscot Howland 3 66.7 -9 -9 -9 -999 

230194008 Penobscot Holden Rider B 2 79 -9 -9 -9 -999 

330012004 Belknap Laconia 2 76.5 -9 -9 -9 -999 

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330031002 Carroll Conway 1 67 -9 -9 -9 -999 

330090008 Grafton Haverhill 3 70.3 -9 -9 -9 -999 

330130007 Merrimack Concord 3 74.7 -9 -9 -9 -999 

330190003 Sullivan Claremont 3 74.3 -9 -9 -9 -999 

360150003 Chemung Elmira 3 80.3 -9 -9 -9 -999 

360310002 Essex Whiteface Summ 3 88.3 -9 -9 -9 -999 

360310003 Essex Whiteface Base 3 84.3 -9 -9 -9 -999 

360410005 Hamilton Piseco Lake 3 78.7 -9 -9 -9 -999 

360530006 Madison Camp Georgetow 3 79.7 -9 -9 -9 -999 

361111005 Ulster Belleayre 3 81.3 -9 -9 -9 -999 

500070007 Chittenden Underhill 3 77 -9 -9 -9 -999 

511970002 Wythe Wythe Co. 3 79.7 -9 -9 -9 -999 

 

Appendix G Attachment 14 - Page Number:

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Table 2 Projected 8-hr Ozone Design Values over OTR based on 

2009BOTW Emissions Inventory 

AIRS-ID County Monitor #ofDV DVC DVF RRF #Days Threshold

340290006 Ocean Colliers Mills 3 106 92 0.868 20 85 

90013007 Fairfield Stratford 3 98.3 90 0.919 38 85 

361030009 Suffolk Holtsville 3 97 89 0.926 34 85 

90093002 New Haven Madison 3 98.3 88 0.905 39 85 

340070003 Camden Camden 3 98.3 88 0.898 26 85 

340155001 Gloucester Clarksboro 3 98.3 88 0.898 25 85 

420170012 Bucks Bristol 3 99 88 0.896 25 85 

90010017 Fairfield Greenwich 3 95.7 87 0.913 30 85 

340071001 Camden Ancora St. Hos 3 100.7 87 0.872 27 85 

421010024 Philadelphia Northeast (Air 3 96.7 87 0.901 23 85 

340210005 Mercer Rider Univ. 3 97 86 0.889 23 85 

510130020 Arlington Arlington Co. 3 96.7 86 0.895 24 85 

510590018 Fairfax Fairfax Co. - 3 96.7 86 0.891 20 85 

90011123 Fairfield Danbury 3 95.7 85 0.897 18 85 

90019003 Fairfield Westport 3 94 85 0.909 37 85 

90099005 New Haven Hamden 3 93.3 85 0.912 25 85 

240251001 Harford Edgewood 3 100.3 85 0.852 41 85 

340030005 Bergen Teaneck 3 91.7 85 0.928 18 85 

361030002 Suffolk Babylon 3 93.7 85 0.917 22 85 

361192004 Westchester White Plains 3 91.3 85 0.935 22 85 

90070007 Middlesex Middletown 3 95.7 84 0.888 21 85 

240030014 Anne Arundel Davidsonville 3 98 84 0.858 30 85 

240030019 Anne Arundel Ft. Meade 3 97 84 0.869 30 85 

340250005 Monmouth Monmouth Univ. 3 95.7 84 0.88 45 85 

340273001 Morris Chester 3 95.3 84 0.882 13 85 

360290002 Erie Amherst 3 95.7 84 0.884 11 78 

360850067 Richmond Susan Wagner 3 93 84 0.904 42 85 

510590030 Fairfax Fairfax Co. - 3 95 84 0.886 21 85 

340190001 Hunterdon Flemington 3 95.3 83 0.877 15 85 

340230011 Middlesex Rutgers Univ. 3 96 83 0.874 22 85 

510591005 Fairfax Fairfax Co. - 1 94 83 0.886 21 85 

110010043 DC McMillan Reser 3 92.7 82 0.888 22 85 

240259001 Harford Aldino 3 97 82 0.846 35 85 

250092006 Essex LYNN 3 90 82 0.916 16 85 

250213003 Norfolk MILTON 1 91 82 0.911 13 85 

420290050 Chester West Chester 1 95 82 0.868 12 85 

421010014 Philadelphia Northwest (Rox 3 90.7 82 0.911 20 85 

516500004 Hampton City Hampton 3 88.3 82 0.939 36 85 

518000004 Suffolk City Suffolk - TCC 3 87 82 0.952 26 85 

100031010 New Castle Brandywine 3 92.7 81 0.875 19 85 

240150003 Cecil Fair Hill 3 97.7 81 0.831 18 85 

240330002 Prince Georges Greenbelt 2 94 81 0.872 28 85 

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240338003 Prince Georges PG Coun.Eques. 1 94 81 0.868 28 85 

340110007 Cumberland Millville 3 95.7 81 0.847 16 85 

360130006 Chautauqua Dunkirk 3 93 81 0.876 20 85 

360631006 Niagara Middleport 3 91.7 81 0.893 15 85 

360790005 Putnam Mt. Ninham 3 91.3 81 0.895 14 85 

420030010 Allegheny Pittsburgh (Ca 3 90.7 81 0.898 16 85 

420070002 Beaver Hookstown 3 91.3 81 0.889 10 82 

420450002 Delaware Chester 3 91.7 81 0.885 23 85 

420910013 Montgomery Norristown 3 92.3 81 0.883 21 85 

440090007 Washington EPA Lab 3 93.3 81 0.876 33 85 

510850003 Hanover Hanover Co. 2 92 81 0.885 11 85 

90131001 Tolland Stafford 3 92.3 80 0.867 11 85 

240053001 Baltimore Essex 3 91.3 80 0.879 48 85 

250010002 Barnstable TRURO 3 92 80 0.877 23 85 

250130008 Hampden CHICOPEE 3 92 80 0.872 10 83 

250250041 Suffolk BOSTON (Long I 3 88.7 80 0.909 21 85 

360270007 Dutchess Millbrook 3 92 80 0.879 12 80 

420030008 Allegheny Lawrenceville 3 89.3 80 0.898 16 85 

420030067 Allegheny South Fayette 3 89.3 80 0.897 13 85 

440030002 Kent Alton Jones 3 93.3 80 0.862 17 85 

510360002 Charles City Charles City C 3 89.3 80 0.899 14 85 

515100009 Alexandria Cit Alexandria 3 90 80 0.891 20 85 

90110008 New London Groton 3 90 79 0.879 38 85 

100031007 New Castle Lums Pond 2 94.5 79 0.843 18 85 

110010025 DC Takoma Park 3 88.7 79 0.894 24 85 

110010041 DC River Terrace 3 89 79 0.888 22 85 

230090102 Hancock ANP Cadillac M 3 91.7 79 0.869 10 82 

240290002 Kent Millington 3 95.3 79 0.838 17 85 

250051002 Bristol FAIRHAVEN 3 91 79 0.878 23 85 

360450002 Jefferson Perch River 3 91.3 79 0.876 10 81 

420290100 Chester New Garden (Ai 3 94.7 79 0.835 19 85 

100010002 Kent Killens Pond 3 88.3 78 0.891 25 85 

100031013 New Castle Bellefonte 3 90.3 78 0.873 21 85 

360050083 Bronx Botanical Gard 3 83.7 78 0.939 20 85 

420031005 Allegheny Harrison Twp 3 91.3 78 0.862 14 85 

420070005 Beaver Brighton Twp 3 89.7 78 0.874 12 82 

420490003 Erie Erie 3 89 78 0.879 23 85 

420770004 Lehigh Allentown 3 90.7 78 0.867 11 84 

420950025 Northampton Freemansburg 3 90 78 0.87 11 85 

510870014 Henrico Henrico Co. 3 88.3 78 0.892 15 85 

511071005 Loudon Loudoun Co. 3 90 78 0.87 15 85 

90031003 Hartford E. Hartford 3 88 77 0.876 16 85 

90050005 Litchfield Cornwall 1 89 77 0.87 11 84 

100051003 Sussex Lewes 3 87 77 0.893 26 85 

230312002 York Kennebunkport 3 88.3 77 0.875 19 85 

240051007 Baltimore Padonia 3 88.7 77 0.872 26 85 

340010005 Atlantic Nacote Creek 3 89 77 0.874 27 85 

340170006 Hudson Bayonne 3 84.7 77 0.911 22 85 

Appendix G Attachment 14 - Page Number:

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340315001 Passaic Ramapo 3 86.7 77 0.898 19 85 

420050001 Armstrong Kittanning 3 90.7 77 0.854 11 84 

420850100 Mercer Farrell 3 91.3 77 0.85 10 82 

421290008 Westmoreland Greensburg 3 88 77 0.878 18 85 

440071010 Providence Francis School 3 89.7 77 0.868 17 85 

510595001 Fairfax Fairfax Co. - 3 88 77 0.885 21 85 

240313001 Montgomery Rockville 3 86.7 76 0.883 26 85 

360130011 Chautauqua Westfield 3 87 76 0.879 12 85 

420550001 Franklin Methodist Hill 3 90.7 76 0.841 11 77 

420710007 Lancaster Lancaster 3 90.7 76 0.843 17 85 

420958000 Northampton Easton 3 88 76 0.869 12 85 

100051002 Sussex Seaford 3 90 75 0.843 10 80 

240130001 Carroll South Carroll 3 88.7 75 0.847 12 85 

240170010 Charles S Maryland 3 93 75 0.816 17 85 

250094004 Essex NEWBURY 3 86 75 0.882 27 85 

250154002 Hampshire WARE 3 86.3 75 0.873 10 81 

420110009 Berks Reading 3 88.7 75 0.855 10 85 

421010136 Philadelphia Southwest (Elm 3 83 75 0.905 23 85 

421250005 Washington Charleroi 3 86.3 75 0.879 15 85 

421330008 York York 3 89 75 0.853 17 85 

510410004 Chesterfield Chesterfield C 3 84.7 75 0.892 10 85 

510590005 Fairfax Fairfax Co. - 3 87 75 0.869 18 85 

511790001 Stafford Stafford Co. 3 86 75 0.876 36 85 

230313002 York Kittery 3 85.3 74 0.869 16 85 

250171102 Middlesex STOW 3 85.7 74 0.87 10 80 

330111010 Hillsborough Nashua 2 86 74 0.867 10 75 

360551004 Monroe Rochester 3 83.7 74 0.895 18 85 

360810124 Queens Queens College 2 83 74 0.894 26 85 

361030004 Suffolk Riverhead 3 83 74 0.901 36 85 

361173001 Wayne Williamson 3 84 74 0.886 18 85 

420590002 Greene Holbrook 3 87.7 74 0.855 10 85 

421255001 Washington Florence 3 85.7 74 0.867 10 83 

511530009 Prince William Prince William 3 85 74 0.873 12 83 

230052003 Cumberland Cape Elizabeth 3 84.3 73 0.873 18 85 

240210037 Frederick Frederick Airp 3 87.3 73 0.846 11 85 

250034002 Berkshire ADAMS 3 83.3 73 0.877 9 70 

330115001 Hillsborough Peterborough 1 84 73 0.873 10 73 

360010012 Albany Loudonville 3 83 73 0.89 8 70 

360671015 Onondoga East Syracuse 3 82.3 73 0.889 8 70 

360715001 Orange Valley Central 3 84.7 73 0.868 10 76 

360910004 Saratoga Stillwater 3 84.7 73 0.869 6 70 

420070014 Beaver Beaver Falls 3 85 73 0.866 10 83 

420431100 Dauphin Hershey 3 86.7 73 0.845 16 85 

421250200 Washington Washington 3 85.3 73 0.858 11 85 

230090103 Hancock ANP McFarland 3 83.7 72 0.871 10 82 

230130004 Knox Port Clyde 3 83.7 72 0.871 13 85 

240430009 Washington Hagerstown 3 85.3 72 0.845 10 84 

250130003 Hampden AGAWAM 1 83 72 0.873 10 83 

Appendix G Attachment 14 - Page Number:

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250270015 Worcester WORCESTER 3 84 72 0.863 10 79 

330150012 Rockingham Rye 2 83.5 72 0.869 16 85 

421174000 Tioga Tioga County ( 3 85 72 0.856 5 70 

421290006 Wetsmoreland Murrysville 3 82 72 0.887 20 85 

511611004 Roanoke Roanoke Co. 3 83.7 72 0.872 11 76 

518000005 Suffolk City Suffolk - Holl 3 82.3 72 0.876 10 76 

420010002 Adams Biglerville (P 3 85 71 0.837 10 80 

420110001 Berks Kutztown 2 84.5 71 0.852 10 85 

420210011 Cambria Johnstown 3 85 71 0.841 10 85 

420274000 Centre Penn Nursery ( 3 84.7 71 0.843 11 74 

420334000 Clearfield Moshannon (PSU 3 87.3 71 0.824 11 76 

420430401 Dauphin Harrisburg 3 85 71 0.841 15 85 

510690010 Frederick Frederick Co. 3 82.7 71 0.869 11 81 

511130003 Madison Madison Co. - 3 84.7 71 0.844 11 71 

420270100 Centre State College 3 84.3 70 0.833 10 76 

420690101 Lacakawana Peckville 3 83.3 70 0.849 10 75 

420791101 Luzerene Wilkes-Barre 3 83.7 70 0.838 10 76 

420990301 Perry Perry County 3 83.3 70 0.841 10 77 

500030004 Bennington Bennington 3 79.7 70 0.883 8 70 

360650004 Oneida Camden 3 79.7 69 0.867 10 70 

420130801 Blair Altoona 3 83.3 69 0.835 10 80 

420692006 Lacakawana Scranton 3 82 69 0.849 10 75 

420810100 Lycoming Montoursville 1 82 69 0.845 11 75 

510330001 Caroline Caroline Co. 3 82.3 69 0.85 10 84 

330150013 Rockingham 999 1 80 68 0.858 10 73 

420791100 Luzerene Nanticoke 3 81.7 68 0.839 10 76 

230112005 Kennebec Gardiner Pray 3 78 67 0.869 10 71 

330173002 Strafford Rochester 2 78.5 67 0.86 11 71 

510610002 Fauqier Fauquier Co. 3 79.3 67 0.85 11 73 

511390004 Page Page Co. 3 79.7 67 0.842 12 72 

250250042 Suffolk BOSTON (Harris 3 73 66 0.908 16 85 

420730015 Lawrence New Castle 3 78.3 66 0.848 10 83 

230090301 Hancock Castine 1 75 65 0.879 10 79 

250150103 Hampshire AMHERST 3 74.7 65 0.874 10 76 

420814000 Lycoming Tiadaghton (PS 3 78.7 65 0.832 10 72 

511630003 Rockbridge Rockbridge Co. 3 76.7 65 0.855 8 70 

230310038 York West Buxton 1 75 64 0.86 9 70 

330050007 Cheshire Keene 3 74.3 64 0.865 10 72 

360430005 Herkimer Nick's Lake 3 74 64 0.873 6 70 

421010004 Philadelphia Frankford (Lab 3 71.3 64 0.906 25 85 

250090005 Essex LAWRENCE 1 70 61 0.88 10 82 

330150015 Rockingham Portsmouth 1 68 59 0.869 16 85 

CC0040002 999 Roosevelt-Camp 3 58.3 51 0.888 10 75 

230038001 Aroostook Ashland135 3 64 -9 -9 -9 -999 

230173001 Oxford North Lovell 3 60.7 -9 -9 -9 -999 

230194007 Penobscot Howland 3 66.7 -9 -9 -9 -999 

230194008 Penobscot Holden Rider B 2 79 -9 -9 -9 -999 

330012004 Belknap Laconia 2 76.5 -9 -9 -9 -999 

Appendix G Attachment 14 - Page Number:

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330031002 Carroll Conway 1 67 -9 -9 -9 -999 

330090008 Grafton Haverhill 3 70.3 -9 -9 -9 -999 

330130007 Merrimack Concord 3 74.7 -9 -9 -9 -999 

330190003 Sullivan Claremont 3 74.3 -9 -9 -9 -999 

360150003 Chemung Elmira 3 80.3 -9 -9 -9 -999 

360310002 Essex Whiteface Summ 3 88.3 -9 -9 -9 -999 

360310003 Essex Whiteface Base 3 84.3 -9 -9 -9 -999 

360410005 Hamilton Piseco Lake 3 78.7 -9 -9 -9 -999 

360530006 Madison Camp Georgetow 3 79.7 -9 -9 -9 -999 

361111005 Ulster Belleayre 3 81.3 -9 -9 -9 -999 

500070007 Chittenden Underhill 3 77 -9 -9 -9 -999 

511970002 Wythe Wythe Co. 3 79.7 -9 -9 -9 -999 

Appendix G Attachment 14 - Page Number:

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14

Table 3 Projected 8-hr Ozone Design Values over OTR based on 

2012BOTW Emissions Inventory 

AIRS-ID County Monitor #ofDV DVC DVF RRF #Days Threshold

340290006 Ocean Colliers Mills 3 106 87 0.828 20 85 

90013007 Fairfield Stratford 3 98.3 86 0.885 38 85 

361030009 Suffolk Holtsville 3 97 86 0.896 34 85 

340155001 Gloucester Clarksboro 3 98.3 85 0.865 25 85 

420170012 Bucks Bristol 3 99 85 0.859 25 85 

90010017 Fairfield Greenwich 3 95.7 84 0.882 30 85 

90093002 New Haven Madison 3 98.3 84 0.859 39 85 

340070003 Camden Camden 3 98.3 84 0.862 26 85 

421010024 Philadelphia Northeast (Air 3 96.7 84 0.87 23 85 

510130020 Arlington Arlington Co. 3 96.7 84 0.875 24 85 

510590018 Fairfax Fairfax Co. - 3 96.7 84 0.87 20 85 

340071001 Camden Ancora St. Hos 3 100.7 83 0.827 27 85 

361030002 Suffolk Babylon 3 93.7 83 0.892 22 85 

361192004 Westchester White Plains 3 91.3 83 0.912 22 85 

90011123 Fairfield Danbury 3 95.7 82 0.86 18 85 

90019003 Fairfield Westport 3 94 82 0.875 37 85 

90099005 New Haven Hamden 3 93.3 82 0.881 25 85 

240251001 Harford Edgewood 3 100.3 82 0.821 41 85 

340030005 Bergen Teaneck 3 91.7 82 0.901 18 85 

340210005 Mercer Rider Univ. 3 97 82 0.855 23 85 

360290002 Erie Amherst 3 95.7 82 0.866 11 78 

510590030 Fairfax Fairfax Co. - 3 95 82 0.871 21 85 

516500004 Hampton City Hampton 3 88.3 82 0.93 36 85 

240030019 Anne Arundel Ft. Meade 3 97 81 0.838 30 85 

360850067 Richmond Susan Wagner 3 93 81 0.875 42 85 

510591005 Fairfax Fairfax Co. - 1 94 81 0.871 21 85 

518000004 Suffolk City Suffolk - TCC 3 87 81 0.942 26 85 

90070007 Middlesex Middletown 3 95.7 80 0.846 21 85 

240030014 Anne Arundel Davidsonville 3 98 80 0.822 30 85 

340230011 Middlesex Rutgers Univ. 3 96 80 0.837 22 85 

340250005 Monmouth Monmouth Univ. 3 95.7 80 0.844 45 85 

340273001 Morris Chester 3 95.3 80 0.84 13 85 

360631006 Niagara Middleport 3 91.7 80 0.882 15 85 

110010043 DC McMillan Reser 3 92.7 79 0.862 22 85 

240330002 Prince Georges Greenbelt 2 94 79 0.842 28 85 

250092006 Essex LYNN 3 90 79 0.883 16 85 

250213003 Norfolk MILTON 1 91 79 0.878 13 85 

340190001 Hunterdon Flemington 3 95.3 79 0.837 15 85 

360130006 Chautauqua Dunkirk 3 93 79 0.854 20 85 

420030010 Allegheny Pittsburgh (Ca 3 90.7 79 0.874 16 85 

421010014 Philadelphia Northwest (Rox 3 90.7 79 0.882 20 85 

510850003 Hanover Hanover Co. 2 92 79 0.864 11 85 

100031010 New Castle Brandywine 3 92.7 78 0.842 19 85 

240259001 Harford Aldino 3 97 78 0.81 35 85 

Appendix G Attachment 14 - Page Number:

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15

240338003 Prince Georges PG Coun.Eques. 1 94 78 0.834 28 85 

360450002 Jefferson Perch River 3 91.3 78 0.862 10 81 

420030008 Allegheny Lawrenceville 3 89.3 78 0.874 16 85 

420290050 Chester West Chester 1 95 78 0.829 12 85 

420450002 Delaware Chester 3 91.7 78 0.855 23 85 

420910013 Montgomery Norristown 3 92.3 78 0.853 21 85 

515100009 Alexandria Cit Alexandria 3 90 78 0.87 20 85 

110010025 DC Takoma Park 3 88.7 77 0.874 24 85 

240053001 Baltimore Essex 3 91.3 77 0.854 48 85 

240150003 Cecil Fair Hill 3 97.7 77 0.794 18 85 

250250041 Suffolk BOSTON (Long I 3 88.7 77 0.876 21 85 

340110007 Cumberland Millville 3 95.7 77 0.805 16 85 

360270007 Dutchess Millbrook 3 92 77 0.838 12 80 

360790005 Putnam Mt. Ninham 3 91.3 77 0.851 14 85 

420030067 Allegheny South Fayette 3 89.3 77 0.867 13 85 

440090007 Washington EPA Lab 3 93.3 77 0.833 33 85 

510360002 Charles City Charles City C 3 89.3 77 0.869 14 85 

511071005 Loudon Loudoun Co. 3 90 77 0.856 15 85 

100031007 New Castle Lums Pond 2 94.5 76 0.805 18 85 

110010041 DC River Terrace 3 89 76 0.862 22 85 

240290002 Kent Millington 3 95.3 76 0.802 17 85 

250010002 Barnstable TRURO 3 92 76 0.829 23 85 

250051002 Bristol FAIRHAVEN 3 91 76 0.838 23 85 

340170006 Hudson Bayonne 3 84.7 76 0.902 22 85 

360050083 Bronx Botanical Gard 3 83.7 76 0.917 20 85 

420490003 Erie Erie 3 89 76 0.861 23 85 

420850100 Mercer Farrell 3 91.3 76 0.842 10 82 

440030002 Kent Alton Jones 3 93.3 76 0.815 17 85 

510595001 Fairfax Fairfax Co. - 3 88 76 0.871 21 85 

510870014 Henrico Henrico Co. 3 88.3 76 0.872 15 85 

90110008 New London Groton 3 90 75 0.837 38 85 

90131001 Tolland Stafford 3 92.3 75 0.821 11 85 

100010002 Kent Killens Pond 3 88.3 75 0.86 25 85 

100031013 New Castle Bellefonte 3 90.3 75 0.84 21 85 

230090102 Hancock ANP Cadillac M 3 91.7 75 0.823 10 82 

250130008 Hampden CHICOPEE 3 92 75 0.826 10 83 

420031005 Allegheny Harrison Twp 3 91.3 75 0.83 14 85 

420070002 Beaver Hookstown 3 91.3 75 0.827 10 82 

420290100 Chester New Garden (Ai 3 94.7 75 0.797 19 85 

420770004 Lehigh Allentown 3 90.7 75 0.828 11 84 

100051003 Sussex Lewes 3 87 74 0.862 26 85 

240051007 Baltimore Padonia 3 88.7 74 0.838 26 85 

240313001 Montgomery Rockville 3 86.7 74 0.862 26 85 

340010005 Atlantic Nacote Creek 3 89 74 0.837 27 85 

340315001 Passaic Ramapo 3 86.7 74 0.862 19 85 

360130011 Chautauqua Westfield 3 87 74 0.859 12 85 

420050001 Armstrong Kittanning 3 90.7 74 0.817 11 84 

420070005 Beaver Brighton Twp 3 89.7 74 0.835 12 82 

Appendix G Attachment 14 - Page Number:

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420950025 Northampton Freemansburg 3 90 74 0.829 11 85 

421290008 Westmoreland Greensburg 3 88 74 0.845 18 85 

440071010 Providence Francis School 3 89.7 74 0.825 17 85 

510590005 Fairfax Fairfax Co. - 3 87 74 0.854 18 85 

511790001 Stafford Stafford Co. 3 86 74 0.869 36 85 

90031003 Hartford E. Hartford 3 88 73 0.833 16 85 

90050005 Litchfield Cornwall 1 89 73 0.826 11 84 

100051002 Sussex Seaford 3 90 73 0.814 10 80 

230312002 York Kennebunkport 3 88.3 73 0.827 19 85 

420550001 Franklin Methodist Hill 3 90.7 73 0.81 11 77 

420710007 Lancaster Lancaster 3 90.7 73 0.809 17 85 

421250005 Washington Charleroi 3 86.3 73 0.853 15 85 

421330008 York York 3 89 73 0.821 17 85 

510410004 Chesterfield Chesterfield C 3 84.7 73 0.862 10 85 

240170010 Charles S Maryland 3 93 72 0.784 17 85 

250094004 Essex NEWBURY 3 86 72 0.838 27 85 

360551004 Monroe Rochester 3 83.7 72 0.872 18 85 

360810124 Queens Queens College 2 83 72 0.87 26 85 

361173001 Wayne Williamson 3 84 72 0.859 18 85 

420110009 Berks Reading 3 88.7 72 0.821 10 85 

420590002 Greene Holbrook 3 87.7 72 0.823 10 85 

420958000 Northampton Easton 3 88 72 0.826 12 85 

421010136 Philadelphia Southwest (Elm 3 83 72 0.872 23 85 

511530009 Prince William Prince William 3 85 72 0.857 12 83 

511611004 Roanoke Roanoke Co. 3 83.7 72 0.867 11 76 

240130001 Carroll South Carroll 3 88.7 71 0.811 12 85 

250154002 Hampshire WARE 3 86.3 71 0.828 10 81 

360010012 Albany Loudonville 3 83 71 0.863 8 70 

360671015 Onondoga East Syracuse 3 82.3 71 0.866 8 70 

230313002 York Kittery 3 85.3 70 0.822 16 85 

240210037 Frederick Frederick Airp 3 87.3 70 0.812 11 85 

250034002 Berkshire ADAMS 3 83.3 70 0.842 9 70 

250171102 Middlesex STOW 3 85.7 70 0.826 10 80 

330111010 Hillsborough Nashua 2 86 70 0.821 10 75 

360910004 Saratoga Stillwater 3 84.7 70 0.834 6 70 

361030004 Suffolk Riverhead 3 83 70 0.852 36 85 

420070014 Beaver Beaver Falls 3 85 70 0.832 10 83 

421174000 Tioga Tioga County ( 3 85 70 0.831 5 70 

421290006 Wetsmoreland Murrysville 3 82 70 0.861 20 85 

510690010 Frederick Frederick Co. 3 82.7 70 0.852 11 81 

511130003 Madison Madison Co. - 3 84.7 70 0.834 11 71 

230052003 Cumberland Cape Elizabeth 3 84.3 69 0.825 18 85 

240430009 Washington Hagerstown 3 85.3 69 0.812 10 84 

330115001 Hillsborough Peterborough 1 84 69 0.83 10 73 

360715001 Orange Valley Central 3 84.7 69 0.826 10 76 

420010002 Adams Biglerville (P 3 85 69 0.814 10 80 

420110001 Berks Kutztown 2 84.5 69 0.818 10 85 

420210011 Cambria Johnstown 3 85 69 0.814 10 85 

Appendix G Attachment 14 - Page Number:

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420334000 Clearfield Moshannon (PSU 3 87.3 69 0.795 11 76 

420431100 Dauphin Hershey 3 86.7 69 0.806 16 85 

421250200 Washington Washington 3 85.3 69 0.82 11 85 

421255001 Washington Florence 3 85.7 69 0.808 10 83 

510330001 Caroline Caroline Co. 3 82.3 69 0.843 10 84 

518000005 Suffolk City Suffolk - Holl 3 82.3 69 0.85 10 76 

230090103 Hancock ANP McFarland 3 83.7 68 0.824 10 82 

230130004 Knox Port Clyde 3 83.7 68 0.824 13 85 

250130003 Hampden AGAWAM 1 83 68 0.829 10 83 

250270015 Worcester WORCESTER 3 84 68 0.816 10 79 

330150012 Rockingham Rye 2 83.5 68 0.822 16 85 

360650004 Oneida Camden 3 79.7 68 0.858 10 70 

420274000 Centre Penn Nursery ( 3 84.7 68 0.814 11 74 

420430401 Dauphin Harrisburg 3 85 68 0.801 15 85 

420130801 Blair Altoona 3 83.3 67 0.813 10 80 

420270100 Centre State College 3 84.3 67 0.804 10 76 

420690101 Lacakawana Peckville 3 83.3 67 0.815 10 75 

420791101 Luzerene Wilkes-Barre 3 83.7 67 0.805 10 76 

420990301 Perry Perry County 3 83.3 67 0.808 10 77 

500030004 Bennington Bennington 3 79.7 67 0.847 8 70 

420692006 Lacakawana Scranton 3 82 66 0.815 10 75 

420810100 Lycoming Montoursville 1 82 66 0.812 11 75 

510610002 Fauqier Fauquier Co. 3 79.3 66 0.839 11 73 

511390004 Page Page Co. 3 79.7 66 0.83 12 72 

420791100 Luzerene Nanticoke 3 81.7 65 0.806 10 76 

230112005 Kennebec Gardiner Pray 3 78 64 0.822 10 71 

330150013 Rockingham 999 1 80 64 0.806 10 73 

360430005 Herkimer Nick's Lake 3 74 64 0.871 6 70 

420730015 Lawrence New Castle 3 78.3 64 0.82 10 83 

511630003 Rockbridge Rockbridge Co. 3 76.7 64 0.842 8 70 

250250042 Suffolk BOSTON (Harris 3 73 63 0.874 16 85 

330173002 Strafford Rochester 2 78.5 63 0.812 11 71 

420814000 Lycoming Tiadaghton (PS 3 78.7 63 0.804 10 72 

230090301 Hancock Castine 1 75 62 0.832 10 79 

250150103 Hampshire AMHERST 3 74.7 62 0.833 10 76 

421010004 Philadelphia Frankford (Lab 3 71.3 62 0.872 25 85 

330050007 Cheshire Keene 3 74.3 61 0.821 10 72 

230310038 York West Buxton 1 75 60 0.809 9 70 

250090005 Essex LAWRENCE 1 70 58 0.833 10 82 

330150015 Rockingham Portsmouth 1 68 55 0.822 16 85 

CC0040002 999 Roosevelt-Camp 3 58.3 49 0.852 10 75 

230038001 Aroostook Ashland135 3 64 -9 -9 -9 -999 

230173001 Oxford North Lovell 3 60.7 -9 -9 -9 -999 

230194007 Penobscot Howland 3 66.7 -9 -9 -9 -999 

230194008 Penobscot Holden Rider B 2 79 -9 -9 -9 -999 

330012004 Belknap Laconia 2 76.5 -9 -9 -9 -999 

330031002 Carroll Conway 1 67 -9 -9 -9 -999 

330090008 Grafton Haverhill 3 70.3 -9 -9 -9 -999 

Appendix G Attachment 14 - Page Number:

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330130007 Merrimack Concord 3 74.7 -9 -9 -9 -999 

330190003 Sullivan Claremont 3 74.3 -9 -9 -9 -999 

360150003 Chemung Elmira 3 80.3 -9 -9 -9 -999 

360310002 Essex Whiteface Summ 3 88.3 -9 -9 -9 -999 

360310003 Essex Whiteface Base 3 84.3 -9 -9 -9 -999 

360410005 Hamilton Piseco Lake 3 78.7 -9 -9 -9 -999 

360530006 Madison Camp Georgetow 3 79.7 -9 -9 -9 -999 

361111005 Ulster Belleayre 3 81.3 -9 -9 -9 -999 

500070007 Chittenden Underhill 3 77 -9 -9 -9 -999 

511970002 Wythe Wythe Co. 3 79.7 -9 -9 -9 -999 

Appendix G Attachment 14 - Page Number:

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1

 TSD - aa 

Trends in Measured 1-hr Ozone Concentrations over the OTR 

modeling domain 

Bureau of Air Quality Analysis and Research 

Division of Air Resources 

New York State Department of Environmental Conservation 

Albany, NY 12233 

Appendix G Attachment 14 - Page Number:

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2

Ozone Trend Analysis

Trends in raw and meteorologically adjusted 1-hour ozone were calculated at several 

AQS monitoring sites in the Northeast. A summary of the analysis is provided below, 

and a detailed description of the met-adjustment procedure is outlined in Milanchus et al. 

(1998) and references contained including those related to the Kolmogorov-Zurbenko 

(KZ) method used in this analysis to estimate trends. 

Data

Ozone time series were obtained at many monitoring sites in the Northeastern United 

States. From these data, log of daily maximum one hour ozone were calculated. In 

addition, several meteorological variables were obtained from National Weather service 

stations in the Northeast. These included surface temperature, dew point and specific 

humidity with dew point depression being calculated. Daily maximum values were 

calculated for each of the meteorological variable times series. The time span of data 

considered for both ozone and meteorological variables was from 1985 to 2005. In 

addition, this analysis focused on the ozone season (April 15 through October 15) of each 

year. 

 

Summary of Trend analysis

In calculating raw ozone trends, a KZ365,3 filter was applied to the log of daily 

maximum ozone time series to obtain the long-term trend component. A linear regression 

is then performed to get the trend estimate. 

For the met-adjusted trends, the time series of ozone and meteorological variables must 

first be separated into the baseline and short-term time scales. A KZ15,5 was used for this 

separation. The effects of meteorology are then removed from these components 

independently. Applying the KZ15,5 filter to the raw data (log of daily maximum ozone 

and daily maximum met. variables) produces the baseline component. The short term 

component is then obtained by subtracting the baseline from the raw data. For this 

analysis, temperature and dew point depression were removed from the short-term 

component, while temperature and specific humidity were removed from the baseline 

component. 

Once the baseline and short-term components are isolated a multiple least squares 

regression is performed on each component with the respective meteorological 

components. Next, the residuals from the multiple regression on the short-term are added 

to the residuals from the baseline to get the met-adjusted ozone time series. A KZ365,3 

filter is then applied to the met-adjusted ozone to get the long-term component of metadjusted ozone. A linear regression is then applied to the long-term met-adjusted ozone to 

get a trend estimate and 95% confidence interval. Trend values that are negative represent 

a decreasing trend in ozone, while positive values indicate an upward trend. In this 

analysis, trends were calculated for 3 different time periods; 1985 to 2005, 1990 to 2005 

and 1995 to 2005. Only trends that were significant at the 95% confidence level were 

Appendix G Attachment 14 - Page Number:

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3

reported. Tables 1to 3 list the raw and met-adjusted trends for each of these time 

periods over the OTR. The total number of ozone monitors varied in these time periods, 

as there were often changes in the location of the monitor due to operational logistics. 

Figures 1a and 1b provide a graphical representation of the trends for the 1990 to 2005 

time period. 

Results

Trends in both raw and meteorologically adjusted ozone are found to vary substantially 

over different time periods and from location to location. Trends were calculated for all 

ozone monitors located within the modeling domain, although the following discussion is 

focused on the New York CMSA, and that similar analysis could be performed for other 

areas of the OTR. In general, there is a decreasing trend in raw ozone over the New York, 

New Jersey and Connecticut area for all the time periods considered. Monitors in New 

York tend to show more decreasing trends when consideration is given to the longer time 

period of 1985 to 2005, and less for the shorter period of 1995 to 2005. Only one 

monitor in New Jersey continues to show an increasing trend in raw ozone levels 

irrespective of the 3 time periods, while Connecticut has the highest number of monitors 

that display an increasing trend particularly for the 1990 to 2005 period. 

When meteorologically adjusted ozone is considered, the general trend over the tri-state 

area is one of decreasing ozone. The majority of New York monitors show decreasing 

trends in met-adjusted ozone with the most being in the 1985 to 2005 and 1995 to 2005 

time periods and the least during the 1990 to 2005 time period. As with raw ozone 

concentrations, New Jersey has only one monitor showing an upward trend and only for 

the 1990 to 2005 time period. Monitors in Connecticut show a general downward trend 

in met-adjusted ozone with the majority of these occurring in the 1985 to 2005 time 

period and the least in the 1990 to 2005 period. Although we see a fairly consistent 

decrease in both raw and meteorologically adjusted ozone, it is not uncommon to see 

trends of different magnitude or even trend directions in nearby monitors that is probably 

a reflection of differences in emissions and titration effects on ozone. 

 

Reference: 

Milanchus et al., (1998) “Evaluating the effectiveness of ozone management efforts in the 

presence of meteorological variability”, JA&WMA, 48, 201-215. 

Appendix G Attachment 14 - Page Number:

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Table 1 Raw and Met-adjusted trends in 1-hr ozone concentrations over the OTR for 1985-2005 ozone sea

STATE AIRS ID STATION LOCATION RAW TRENDS 

 Slope 

95% 

CI 

 (%/yr) 

CT 90010017 GREENWICH GREENWICH POINT PARK -0.118 0.015 CT 90011123 DANBURY TRAILER, W. CONNECTICUT STATE UNIVERSITY 0.041 0.019 CT 90013007 STRATFORD USCG LIGHTHOUSE , PROSPECT STREET -0.558 0.017 CT 90031003 E. HARTFORD MCAULIFFEE PARK 0.395 0.019 CT 90070007 MIDDLETOWN CONN. VALLEY HOSP., SHEW HALL, EASTERN D -0.097 0.014 

CT 90093002 MADISON HAMMONASSET STATE PARK 0.056 0.015 CT 90110008 GROTON UNIVERSITY OF CONNECTICUT, AVERY POINT -0.758 0.015 CT 90131001 STAFFORD ROUTE 190, SHENIPSIT STATE FOREST -0.176 0.015 

DC 110010025 NOT IN A CITY TAKOMA SC. PINEY BRANCH RD & DAHLIA ST N -0.464 0.022 

ME 230052003 

CAPE 

ELIZABETH TWO LIGHTS STATE PARK -0.943 0.014 

ME 230312002 NOT IN A CITY OCEAN AVE/PARSONS WAY, KENNEBUNKPORT -0.794 0.016 

MD 240030014 NOT IN A CITY QUEEN ANNE AND WAYSON ROADS -0.904 0.024 MD 240051007 COCKEYSVILLE GREENSIDE DRIVE COCKEYSVILLE MD -0.596 0.015 

MD 240053001 ESSEX WOODWARD & DORSEY RDS ,ESSEX MD -0.493 0.014 MD 240130001 NOT IN A CITY 1300 W. OLD LIBERTY ROAD, WINFIELD,MD -0.841 0.014 MD 240170010 NOT IN A CITY SO MD CORRECTIONAL CAMP, HUGHESVILLE -0.780 0.020 

MD 240251001 EDGEWOOD EDGEWOOD ARMY CHEM CENTER EDGEWOOD -0.537 0.016 

MD 240313001 ROCKVILLE LOTHROP E SMITH ENV.ED CENTER ROCKVILLE -0.604 0.022 

MA 250010002 TRURO FOX BOTTOM AREA-CAPE COD NAT'L SEA SHR 0.029 0.018 

MA 250051002 FAIRHAVEN LEROY WOOD SCHOOL -0.186 0.019 

MA 250130008 CHICOPEE ANDERSON ROAD AIR FORCE BASE -0.201 0.019 

Appendix G Attachment 14 - Page Number:94
5

MA 250154002 WARE QUABBIN SUMMIT -0.520 0.015 

NH 330050007 KEENE RAILROAD STREET -0.140 0.036 

NH 330190003 CLAREMONT SOUTH STREET 0.390 0.068 

NJ 340010005 NOT IN A CITY BRIGANTINE WILDLIFE REFUGE,NACOTE CREEK -0.999 0.020 

NJ 340070003 NOT IN A CITY COPEWOOD E. DAVIS STS; TRAILER -0.692 0.021 NJ 340071001 NOT IN A CITY ANCORA STATE HOSPITAL, ANCORA -0.838 0.014 

NJ 340110007 NOT IN A CITY LINCOLN AVE.&HIGHWAY 55,NE OF MILLVILLE -0.767 0.014 

NJ 340150002 NOT IN A CITY CLARKSBORO,SHADY LANE REST HOME -0.686 0.011 

NJ 340170006 BAYONNE VETERANS PARK ON NEWARK BAY -0.988 0.014 NJ 340190001 FLEMINGTON RARITAN STP,RTE.613S, THREE BRIDGES -0.326 0.013 NJ 340210005 NOT IN A CITY RIDER COLLEGE;LAWRENCE TOWNSHIP -0.825 0.014 NJ 340273001 NOT IN A CITY BLDG.#1, BELL LABS, OFF ROUTE 513 -0.823 0.015 

NY 360010012 ALBANY LOUDONVILLE RESERVOIR 

NY 360150003 ELMIRA SULLIVAN ST., WATER TR. PL. -0.056 0.017 NY 360290002 AMHERST AUDUBON GOLF COURSE, MAPLE ROAD 0.066 0.027 NY 360310002 NOT IN A CITY SUMMIT,WHITEFACE MTN,WEATHER STATION -0.319 0.012 NY 360310003 NOT IN A CITY BASE WHITEFACE MTN,ASRC,SUNY -0.528 0.026 NY 360450002 NOT IN A CITY VADAI ROAD, PERCH RIVER, BROWNVILLE -0.147 0.024 

NY 360631006 NOT IN A CITY MIDDLEPORT STP, NORTH HARTLAND RD -0.317 0.017 NY 360850067 NEW YORK CITY SUSAN WAGNER HS, , -0.643 0.018 NY 360930003 SCHENECTADY MT.PLEASANT HS, -0.123 0.016 NY 361030002 BABYLON EAST FARMINGDALE WATER DIST.,GAZZA BLVD. -0.315 0.018 NY 361030004 RIVERHEAD 39 SOUND AVENUE,RIVERHEAD -0.163 0.051 NY 361173001 NOT IN A CITY WAYNE EDUCATIONAL CENTER, WILLIAMSON -0.929 0.020 NY 361192004 WHITE PLAINS WHITE PLAINS PUMP STATION,ORCHARD STREET -0.424 0.018 

PA 420030008 PITTSBURGH BAPC 301 39TH STREET BLDG #7 0.148 0.034 PA 420030067 NOT IN A CITY OLD OAKDALE ROAD SOUTH FAYETTE 0.879 0.037 PA 420070014 BEAVER FALLS EIGHT STREET AND RIVER ALLEY -0.251 0.016 PA 420110009 READING UGI CO MONGANTOWN RD AND PROSPECT ST -0.304 0.016 

Appendix G Attachment 14 - Page Number:95
6

PA 420130801 ALTOONA 2ND AVE & 7TH ST -0.207 0.016 PA 420170012 BRISTOL (BORO) ROCKVIEW LANE -0.609 0.012 PA 420210011 NOT IN A CITY MILLER AUTO SHOP 1 MESSENGER ST -0.020 0.018 PA 420430401 HARRISBURG 1833 UPS DRIVE HARRISBURG PA -0.188 0.017 PA 420431100 HERSHEY SIPE AVE & MAE STREET -0.297 0.017 PA 420450002 CHESTER FRONT ST & NORRIS ST -0.585 0.014 PA 420692006 SCRANTON GEORGE ST TROOP AND CITY OF SCRANTON -0.163 0.017 PA 420710007 

LANCASTER 

CITY ABRAHAM LINCOLN JR HIGH GROFFTOWN RD 0.178 0.020 

PA 420730015 NEW CASTLE CROTON ST & JEFFERSON ST. -0.091 0.014 PA 420770004 ALLENTOWN STATE HOSPITAL REAR 1600 HANOVER AVE -0.054 0.017 PA 420791100 NANTICOKE 255 LOWER BROADWAY -0.073 0.020 PA 420791101 WILKES-BARRE CHILWICK & WASHINGTON STS 0.132 0.017 PA 420850100 NOT IN A CITY PA518 (NEW CASTLE ROAD) & PA418 PA 420910013 NORRISTOWN STATE ARMORY - 1046 BELVOIR RD -0.323 0.016 PA 420990301 NOT IN A CITY ROUTE 34 LITTLE BUFFALO STATE PARK -0.274 0.017 PA 421010014 PHILADELPHIA ROXY WATER PUMP STA EVA-DEARNLEY STS -0.991 0.012 PA 421010024 PHILADELPHIA GRANT-ASHTON ROADS PHILA NE AIRPORT -0.408 0.024 PA 421250005 CHARLEROI CHARLER01 WASTE TREATMENT PLANT 0.060 0.023 PA 421250200 WASHINGTON MCCARRELL AND FAYETTE STS -0.273 0.017 PA 421330008 YORK HILL ST. -0.071 0.016 

RI 440030002 NOT IN A CITY W. ALTON JONES CAMPUS URI PARKERFIELD -0.752 0.017 

VA 510130020 NOT IN A CITY S 18TH AND HAYES ST -0.529 0.015 VA 510410004 NOT IN A CITY BEACH,INTERSECTION OF CO.ROADS 655 & 654 -0.555 0.020 VA 510590018 NOT IN A CITY MT.VERNON 2675 SHERWOOD HALL LANE -0.939 0.014 VA 510595001 MC LEAN LEWINSVILLE 1437 BALLS HILL RD -0.540 0.014 VA 510610002 NOT IN A CITY RT651 C PHELPS WILDLIFE MANAGEMENT AREA -1.145 0.019 

VA 510870014 NOT IN A CITY 2401 HARTMAN STREET MATH & SCIENCE CTR -0.427 0.015 VA 511130003 NOT IN A CITY SHENANDOAH NP BIG MEADOWS -0.031 0.021 VA 511611004 VINTON EAST VINTON ELEMENTARY SCHOOL -0.374 0.022 VA 515100009 ALEXANDRIA 517 N SAINT ASAPH ST, ALEXANDRIA HEALTH 0.104 0.024 VA 518000004 SUFFOLK TIDEWATER COMM. COLLEGE, FREDERIC -0.287 0.024 

Appendix G Attachment 14 - Page Number:96
7

CAMPUS 

Table 2 Raw and Met-adjusted trends in 1-hr ozone concentrations over the OTR for 1990-2005 ozone sea

STATE AIRS ID STATION LOCATION RAW TRENDS 

 Slope 95% C (%/yr) 

CT 090010017 GREENWICH GREENWICH POINT PARK 0.165 0.022 CT 090011123 DANBURY TRAILER, W. CONNECTICUT STATE UNIVERSITY 0.591 0.024 

CT 090013007 STRATFORD USCG LIGHTHOUSE , PROSPECT STREET 0.078 0.018 CT 090031003 EAST HARTFORD MCAULIFFEE PARK 0.046 0.027 CT 090070007 MIDDLETOWN CONN. VALLEY HOSP., SHEW HALL, EASTERN D 0.225 0.017 

CT 090093002 MADISON HAMMONASSET STATE PARK -0.203 0.022 CT 090110008 GROTON UNIVERSITY OF CONNECTICUT, AVERY POINT -0.402 0.022 CT 090131001 STAFFORD ROUTE 190, SHENIPSIT STATE FOREST -0.114 0.019 

DC 110010025 NOT IN A CITY TAKOMA SC. PINEY BRANCH RD & DAHLIA ST N -0.357 0.029 

ME 230052003 CAPE ELIZABETH TWO LIGHTS STATE PARK -0.858 0.021 

ME 230312002 NOT IN A CITY OCEAN AVE/PARSONS WAY, KENNEBUNKPORT -0.874 0.015 

MD 240030014 NOT IN A CITY QUEEN ANNE AND WAYSON ROADS -0.805 0.037 MD 240051007 COCKEYSVILLE GREENSIDE DRIVE COCKEYSVILLE MD -0.805 0.021 MD 240053001 ESSEX WOODWARD & DORSEY RDS ,ESSEX MD -0.396 0.020 MD 240130001 NOT IN A CITY 1300 W. OLD LIBERTY ROAD, WINFIELD,MD -0.940 0.019 MD 240170010 NOT IN A CITY SO MD CORRECTIONAL CAMP, HUGHESVILLE -0.644 0.029 

MD 240251001 EDGEWOOD EDGEWOOD ARMY CHEM CENTER EDGEWOOD -0.555 0.020 MD 240313001 ROCKVILLE LOTHROP E SMITH ENV.ED CENTER ROCKVILLE -0.730 0.035 

MA 250010002 TRURO FOX BOTTOM AREA-CAPE COD NAT'L Sea shr 0.134 0.019 MA 250051002 FAIRHAVEN LEROY WOOD SCHOOL 0.337 0.025 

Appendix G Attachment 14 - Page Number:97
8

MA 250130008 CHICOPEE ANDERSON ROAD AIR FORCE BASE 0.252 0.023 MA 250154002 WARE QUABBIN SUMMIT -0.793 0.016 

NH 330050007 KEENE RAILROAD STREET -0.150 0.072 

NH 330190003 CLAREMONT SOUTH STREET 0.570 0.045 

NJ 340010005 NOT IN A CITY BRIGANTINE WILDLIFE REFUGE,NACOTE CREEK -1.291 0.031 

NJ 340070003 NOT IN A CITY COPEWOOD E. DAVIS STS; TRAILER -0.089 0.025 NJ 340071001 NOT IN A CITY ANCORA STATE HOSPITAL, ANCORA -0.720 0.017 

NJ 340110007 NOT IN A CITY LINCOLN AVE.&HIGHWAY 55,NE OF MILLVILLE -0.592 0.021 

NJ 340150002 NOT IN A CITY CLARKSBORO,SHADY LANE REST HOME -0.743 0.016 

NJ 340170006 BAYONNE VETERANS PARK ON NEWARK BAY -1.137 0.019 NJ 340190001 FLEMINGTON RARITAN STP,RTE.613S, THREE BRIDGES -0.208 0.019 NJ 340210005 NOT IN A CITY RIDER COLLEGE;LAWRENCE TOWNSHIP -1.027 0.021 NJ 340273001 NOT IN A CITY BLDG.#1, BELL LABS, OFF ROUTE 513 -0.863 0.024 

NY 360010012 ALBANY LOUDONVILLE RESERVOIR -0.148 0.019 

NY 360150003 ELMIRA SULLIVAN ST., WATER TR. PL. NY 360290002 AMHERST AUDUBON GOLF COURSE, MAPLE ROAD 1.008 0.031 NY 360310002 NOT IN A CITY SUMMIT,WHITEFACE MTN,WEATHER STATION -0.447 0.016 NY 360310003 NOT IN A CITY BASE WHITEFACE MTN,ASRC,SUNY -0.517 0.027 NY 360450002 NOT IN A CITY VADAI ROAD, PERCH RIVER, BROWNVILLE 0.626 0.027 NY 360631006 NOT IN A CITY MIDDLEPORT STP, NORTH HARTLAND RD 0.213 0.020 NY 360850067 NEW YORK CITY SUSAN WAGNER HS -0.400 0.027 NY 360930003 SCHENECTADY MT.PLEASANT HS. -0.043 0.021 NY 361030002 BABYLON EAST FARMINGDALE WATER DIST.,GAZZA BLVD. -0.927 0.016 NY 361030004 RIVERHEAD 39 SOUND AVENUE,RIVERHEAD -0.170 0.051 NY 361173001 NOT IN A CITY WAYNE EDUCATIONAL CENTER, WILLIAMSON -0.841 0.033 NY 361192004 WHITE PLAINS WHITE PLAINS PUMP STATION,ORCHARD Str -0.250 0.026 

PA 420030008 PITTSBURGH BAPC 301 39TH STREET BLDG #7 0.871 0.050 PA 420030067 NOT IN A CITY OLD OAKDALE ROAD SOUTH FAYETTE 1.406 0.052 PA 420070014 BEAVER FALLS EIGHT STREET AND RIVER ALLEY -0.118 0.026 

Appendix G Attachment 14 - Page Number:98
9

PA 420110009 READING UGI CO MONGANTOWN RD AND PROSPECT ST -0.143 0.024 

PA 420130801 ALTOONA 2ND AVE & 7TH ST -0.274 0.024 PA 420170012 

BRISTOL 

(BOROUG ROCKVIEW LANE -0.536 0.019 

PA 420210011 NOT IN A CITY MILLER AUTO SHOP 1 MESSENGER ST 0.085 0.029 PA 420430401 HARRISBURG 1833 UPS DRIVE HARRISBURG PA -0.142 0.027 PA 420431100 HERSHEY SIPE AVE & MAE STREET -0.251 0.026 PA 420450002 CHESTER FRONT ST & NORRIS ST -0.464 0.021 PA 420692006 SCRANTON GEORGE ST TROOP AND CITY OF SCRANTON -0.253 0.025 PA 420710007 LANCASTER CITY ABRAHAM LINCOLN JR HIGH GROFFTOWN RD 0.124 0.029 PA 420730015 NEW CASTLE CROTON ST & JEFFERSON ST. 0.075 0.022 PA 420770004 ALLENTOWN STATE HOSPITAL REAR 1600 HANOVER AVE 0.272 0.026 PA 420791100 NANTICOKE 255 LOWER BROADWAY 0.467 0.026 PA 420791101 WILKES-BARRE CHILWICK & WASHINGTON STS -0.327 0.022 PA 420850100 NOT IN A CITY PA518 (NEW CASTLE ROAD) & PA418 0.104 0.022 PA 420910013 NORRISTOWN STATE ARMORY - 1046 BELVOIR RD -0.404 0.026 PA 420990301 NOT IN A CITY ROUTE 34 LITTLE BUFFALO STATE PARK -0.284 0.027 PA 421010014 PHILADELPHIA ROXY WATER PUMP STA EVA-DEARNLEY STS -0.773 0.017 PA 421250200 WASHINGTON MCCARRELL AND FAYETTE STS -0.091 0.027 PA 421330008 YORK HILL ST. 0.296 0.021 

RI 440030002 NOT IN A CITY W. ALTON JONES CAMPUS URI PARKERFIELD -0.166 0.019 

VA 510130020 NOT IN A CITY S 18TH AND HAYES ST -0.347 0.021 

VA 510410004 NOT IN A CITY BEACH,INTERSECTION OF CO.ROADS 655 & 654 -0.454 0.031 VA 510590018 NOT IN A CITY MT.VERNON 2675 SHERWOOD HALL LANE -0.631 0.020 VA 510595001 MC LEAN LEWINSVILLE 1437 BALLS HILL RD -0.384 0.021 VA 510610002 NOT IN A CITY RT651 C PHELPS WILDLIFE MANAGEMENT AREA -1.288 0.029 

VA 510870014 NOT IN A CITY 2401 HARTMAN STREET MATH & SCIENCE CTR -0.645 0.021 VA 511130003 NOT IN A CITY SHENANDOAH NP BIG MEADOWS -0.387 0.029 VA 511611004 VINTON EAST VINTON ELEMENTARY SCHOOL -0.281 0.036 VA 515100009 ALEXANDRIA 517 N SAINT ASAPH ST, ALEXANDRIA HEALTH 0.041 0.031 VA 518000004 SUFFOLK 

TIDEWATER COMM. COLLEGE, FREDERIC 

CAMPUS -0.825 0.025 

Appendix G Attachment 14 - Page Number:99
10

Table 3 Raw and Met-adjusted trends in 1-hr ozone concentrations over the OTR for 1995-2005 ozone sea

STATE AIRS ID STATION LOCATION RAW TRENDS 

 Slope 95% CI  (%/yr) 

CT 090010017 GREENWICH GREENWICH POINT PARK CT 090011123 DANBURY TRAILER, W. CONNECTICUT STATE UNIVERSITY 0.807 0.037 

CT 090013007 STRATFORD USCG LIGHTHOUSE , PROSPECT STREET -0.037 0.034 CT 090031003 EAST HARTFORD MCAULIFFEE PARK -0.843 0.036 CT 090070007 MIDDLETOWN CONN. VALLEY HOSP., SHEW HALL, EASTERN D 0.111 0.033 

CT 090093002 MADISON HAMMONASSET STATE PARK -0.610 0.035 CT 090110008 GROTON UNIVERSITY OF CONNECTICUT, AVERY POINT -0.887 0.040 CT 090131001 STAFFORD ROUTE 190, SHENIPSIT STATE FOREST -0.259 0.038 

DC 110010025 NOT IN A CITY TAKOMA SC. PINEY BRANCH RD & DAHLIA ST N -0.917 0.051 

ME 230052003 CAPE ELIZABETH TWO LIGHTS STATE PARK -1.251 0.037 

ME 230312002 NOT IN A CITY OCEAN AVE/PARSONS WAY, KENNEBUNKPORT -0.828 0.029 

MD 240030014 NOT IN A CITY QUEEN ANNE AND WAYSON ROADS -1.987 0.060 MD 240051007 COCKEYSVILLE GREENSIDE DRIVE COCKEYSVILLE MD -0.804 0.039 

MD 240053001 ESSEX WOODWARD & DORSEY RDS ,ESSEX MD -0.324 0.038 MD 240130001 NOT IN A CITY 1300 W. OLD LIBERTY ROAD, WINFIELD,MD -1.212 0.033 MD 240170010 NOT IN A CITY SO MD CORRECTIONAL CAMP, HUGHESVILLE -1.542 0.045 

MD 240251001 EDGEWOOD EDGEWOOD ARMY CHEM CENTER EDGEWOOD -0.737 0.040 MD 240313001 ROCKVILLE LOTHROP E SMITH ENV.ED CENTER ROCKVILLE -1.873 0.056 

Appendix G Attachment 14 - Page Number:100
11

MA 250010002 TRURO 

FOX BOTTOM AREA-CAPE COD NAT'L 

SEASHORE -0.152 0.030 

MA 250051002 FAIRHAVEN LEROY WOOD SCHOOL -0.145 0.025 

MA 250130008 CHICOPEE ANDERSON ROAD AIR FORCE BASE 0.276 0.044 MA 250154002 WARE QUABBIN SUMMIT -0.215 0.026 

NH 330050007 KEENE RAILROAD STREET -0.140 0.097 

NH 330190003 CLAREMONT SOUTH STREET 0.560 0.090 

NJ 340010005 NOT IN A CITY BRIGANTINE WILDLIFE REFUGE,NACOTE CREEK -2.237 0.041 

NJ 340070003 NOT IN A CITY COPEWOOD E. DAVIS STS; TRAILER 0.330 0.044 NJ 340071001 NOT IN A CITY ANCORA STATE HOSPITAL, ANCORA -1.046 0.021 

NJ 340110007 NOT IN A CITY LINCOLN AVE.&HIGHWAY 55,NE OF MILLVILLE -0.653 0.034 

NJ 340150002 NOT IN A CITY CLARKSBORO,SHADY LANE REST HOME -0.850 0.027 NJ 340170006 BAYONNE VETERANS PARK ON NEWARK BAY -0.987 0.035 NJ 340190001 FLEMINGTON RARITAN STP,RTE.613S, THREE BRIDGES -0.250 0.026 NJ 340210005 NOT IN A CITY RIDER COLLEGE;LAWRENCE TOWNSHIP -0.798 0.035 NJ 340273001 NOT IN A CITY BLDG.#1, BELL LABS, OFF ROUTE 513 -1.293 0.043 

NY 360010012 ALBANY LOUDONVILLE RESERVOIR -0.050 0.039 

NY 360150003 ELMIRA SULLIVAN ST., WATER TR. PL. -0.312 0.045 NY 360290002 AMHERST AUDUBON GOLF COURSE, MAPLE ROAD 1.091 0.050 NY 360310002 NOT IN A CITY SUMMIT,WHITEFACE MTN,WEATHER STATION -0.290 0.022 NY 360310003 NOT IN A CITY BASE WHITEFACE MTN,ASRC,SUNY -0.479 0.049 NY 360450002 NOT IN A CITY VADAI ROAD, PERCH RIVER, BROWNVILLE 0.122 0.049 NY 360631006 NOT IN A CITY MIDDLEPORT STP, NORTH HARTLAND RD 0.086 0.035 NY 360850067 NEW YORK CITY SUSAN WAGNER HS -1.031 0.030 NY 360930003 SCHENECTADY MT.PLEASANT HS. 0.180 0.042 NY 361030002 BABYLON EAST FARMINGDALE WATER DIST.,GAZZA BLVD. -0.706 0.024 NY 361030004 RIVERHEAD 39 SOUND AVENUE,RIVERHEAD -1.590 0.057 NY 361173001 NOT IN A CITY WAYNE EDUCATIONAL CENTER, WILLIAMSON -1.594 0.060 NY 361192004 WHITE PLAINS WHITE PLAINS PUMP STATION,ORCHARD ST -0.352 0.048 

PA 420030008 PITTSBURGH BAPC 301 39TH STREET BLDG #7 -1.114 0.042 

Appendix G Attachment 14 - Page Number:101
12

PA 420030067 NOT IN A CITY OLD OAKDALE ROAD SOUTH FAYETTE -0.675 0.053 PA 420070014 BEAVER FALLS EIGHT STREET AND RIVER ALLEY -0.968 0.030 PA 420110009 READING UGI CO MONGANTOWN RD AND PROSPECT ST -0.398 0.041 PA 420130801 ALTOONA 2ND AVE & 7TH ST -1.096 0.033 PA 420170012 

BRISTOL 

(BOROUG ROCKVIEW LANE -0.886 0.035 

PA 420210011 NOT IN A CITY MILLER AUTO SHOP 1 MESSENGER ST -0.681 0.050 PA 420430401 HARRISBURG 1833 UPS DRIVE HARRISBURG PA -0.378 0.053 PA 420431100 HERSHEY SIPE AVE & MAE STREET -0.905 0.041 PA 420450002 CHESTER FRONT ST & NORRIS ST -0.868 0.037 PA 420692006 SCRANTON GEORGE ST TROOP AND CITY OF SCRANTON -0.902 0.042 PA 420710007 

LANCASTER 

CITY ABRAHAM LINCOLN JR HIGH GROFFTOWN RD -0.836 0.038 

PA 420730015 NEW CASTLE CROTON ST & JEFFERSON ST. -0.697 0.031 PA 420770004 ALLENTOWN STATE HOSPITAL REAR 1600 HANOVER AVE -0.516 0.043 PA 420791100 NANTICOKE 255 LOWER BROADWAY -0.203 0.047 PA 420791101 WILKES-BARRE CHILWICK & WASHINGTON STS -0.837 0.038 PA 420850100 NOT IN A CITY PA518 (NEW CASTLE ROAD) & PA418 -0.641 0.035 PA 420910013 NORRISTOWN STATE ARMORY - 1046 BELVOIR RD -1.211 0.040 PA 420990301 NOT IN A CITY ROUTE 34 LITTLE BUFFALO STATE PARK -0.937 0.041 PA 421010014 PHILADELPHIA ROXY WATER PUMP STA EVA-DEARNLEY STS -1.056 0.027 PA 421010024 PHILADELPHIA GRANT-ASHTON ROADS PHILA NE AIRPORT -0.337 0.054 PA 421250005 CHARLEROI CHARLER01 WASTE TREATMENT PLANT -1.480 0.052 PA 421250200 WASHINGTON MCCARRELL AND FAYETTE STS -0.876 0.044 PA 421330008 YORK HILL ST. 0.326 0.036 

RI 440030002 NOT IN A CITY W. ALTON JONES CAMPUS URI PARKERFIELD 0.044 0.031 

VA 510130020 NOT IN A CITY S 18TH AND HAYES ST -0.492 0.036 VA 510410004 NOT IN A CITY BEACH,INTERSECTION OF CO.ROADS 655 & 654 -1.333 0.039 

VA 510590018 NOT IN A CITY MT.VERNON 2675 SHERWOOD HALL LANE -0.659 0.036 VA 510595001 MC LEAN LEWINSVILLE 1437 BALLS HILL RD -0.164 0.039 VA 510610002 NOT IN A CITY RT651 C PHELPS WILDLIFE MANAGEMENT AREA -2.029 0.050 

VA 510870014 NOT IN A CITY 2401 HARTMAN STREET MATH & SCIENCE CTR -0.871 0.042 

Appendix G Attachment 14 - Page Number:102
13

VA 511130003 NOT IN A CITY SHENANDOAH NP BIG MEADOWS -1.406 0.044 VA 511611004 VINTON EAST VINTON ELEMENTARY SCHOOL -1.186 0.063 VA 515100009 ALEXANDRIA 517 N SAINT ASAPH ST, ALEXANDRIA HEALTH -0.399 0.048 VA 518000004 SUFFOLK 

TIDEWATER COMM. COLLEGE, FREDERIC 

CAMPUS -0.822 0.047 

Appendix G Attachment 14 - Page Number:103
14

 Figure 1a

Appendix G Attachment 14 - Page Number:104
15

Figure 1b

Appendix G Attachment 14 - Page Number:105
Attachment 16_OTC_2007_SpecialMtg_ 

HEDDMOU_Final_070302.pdf
Memorandum of Understanding Among the States of the Ozone

Transport Commission Concerning the Incorporation of High Electrical 

Demand Day Emission Reduction Strategies into Ozone Attainment State 

Implementation Planning 

Whereas the Ozone Transport Commission (OTC) was established under

Sections 176A and 184 of the federal Clean Air Act (CAA) to ensure the

development and implementation of regional strategies to reduce ground-level

ozone to healthful levels; and 

Whereas the adverse health effects of ground-level ozone are well 

documented, and in spite of significant reductions of ozone precursor 

emissions achieved to date as a result of our NOx MOU of 1994, the US 

Environmental Protection Agency (EPA) NOx SIP call effective in 2003, and 

expected reductions to be further achieved by federal and state programs over 

the next decade, a significant portion of the ozone problem continues to be 

caused by nitrogen oxides (NOX) transported into and generated within our 

region by electrical generating units (EGUs); and 

Whereas, high electrical demand day (HEDD) operation of EGUs generally

have not been addressed under existing air quality control requirements, and 

these units are called into services on the very hot days of summer when air

pollution levels are highest, and 

Whereas, HEDD unit operations are a significant contributor to NOx emissions

on high ozone days; and 

Whereas, the NOx cap and trade program, although effective generally has, 

by its very nature, had limited success in reducing emissions from HEDD units

on HEDDs; and 

Whereas, OTC staff, state environmental and utility regulators, EPA staff, 

EGU owners and operators and the independent regional systems operators

have been meeting to assess emissions associated with HEDD during the 

ozone season and to address excess NOx emissions on HEDDs, and 

Whereas, OTC is guided by its precepts to seek reductions in the most 

comprehensive, cost effective manner possible in order to maximize public

health, environmental and economic benefits while ensuring an adequate 

electrical capacity and reliability for the region; and

___________

Connecticut 

Delaware 

District of Columbia 

Maine 

Maryland 

Massachusetts 

New Hampshire 

New Jersey

New York 

Pennsylvania 

Rhode Island 

Vermont 

Virginia 

___________

Christopher Recchia 

Executive Director 

___________

444 N. Capitol St. NW

Suite 638 

Washington, DC 20001 

(202) 508-3840 

FAX (202) 508-3841 

Email: ozone@otcair.org

___________

Appendix G Attachment 16 - Page Number:

1
Whereas, our investigations have found that NOx emissions are much higher on 

a high electrical demand day than on a typical summer day and there is the 

potential to reduce HEDD emissions by approximately 25% in the short term 

through the application of known control technologies to HEDD combustion 

turbine, coal and residual oil burning units; and 

Whereas, installing typically used NOx control technologies may not be available 

to, or be the most cost effective method of, controlling HEDD NOx emissions 

from specific units; and 

Whereas, energy efficiency is the most cost effective method to reduce HEDD 

NOx emissions, but cannot alone, nor in the short term, achieve sufficient 

emission reductions to achieve attainment of the ozone standard in many areas; 

and 

Whereas, demand response programs can be a very cost effective mechanism 

to reduce emissions if they result in clean behind the meter generation and are 

supported by appropriate market devices, including but not limited to dynamic 

pricing; and 

Whereas, any strategy to address HEDD emissions must recognize and address 

the issue of high emitting behind the meter units; and 

Whereas, EPA and State workgroups estimate that using a cap and trade 

mechanism alone to provide sufficient financial incentives to cause the clean up 

of HEDD units would need an 18:1 retirement ratio and such a strategy would 

consume 74% of all available CAIR allowances for 12 HEDD days; 

Therefore, be it RESOLVED that 

The OTC States identified in the following table commit to pursue the following 

reductions in NOx emissions associated with HEDD units on high electrical 

demand days during the ozone season; such reductions to be achieved 

beginning with the 2009 ozone season or as soon as feasible thereafter, but no 

later than 2012: 

Appendix G Attachment 16 - Page Number:

2
State NOx 

(tons per day) 

Percent Reduction from 

HEDD Units 

CT 11.7 25% 

DE 7.3 20% 

MD 23.5 32% 

NJ 19.8 28% 

NY 50.8 27% 

PA 21.8 32% 

Total 134.9 

Furthermore, that such reduction commitment will be included in each of the 

several states’ 8-hour ozone attainment State Implementation Plan submissions 

to EPA due in June 2007; and 

Furthermore, that each state shall select the strategy or combination of 

strategies that provides both maximum certainty and appropriate flexibility for that 

state and its electric generators. Such mechanisms for achieving the reductions 

may include but are not limited to: 

• regulatory caps for emissions from HEDD units on HEDDs; 

• performance standards; 

• State/generator HEDD partnership agreements; 

• energy efficiency programs; 

• demand response programs, provided that such programs reduce and/or 

preclude the installation or use of distributed generation with 

unacceptably high emissions; 

• regulatory standards or controls for behind-the-meter generators; 

• effective adjustment of the NOx retirement ratio to provide reductions on 

HEDDs; and 

Furthermore, the undersigned states for whom no state-specific target emission 

reduction is specified above sign this MOU in support and appreciation of the 

listed states making this commitment, will continue to evaluate the HEDD issue in 

their state and, as necessary and appropriate, may choose to pursue additional 

emission reductions from the HEDD sector in their state. 

Be it FURTHER RESOLVED that the OTC states will continue their work to 

establish long-term standards and programs to address emissions on HEDDs, 

such programs and standards to include: 

• continued work with state energy and utility regulators as well as the 

regional transmission operators regarding energy efficiency, dynamic 

pricing and other market oriented incentives toward significant demand 

reduction and clean new or repowered supply 

Appendix G Attachment 16 - Page Number:

3
• development of long-term performance standards that will ensure 

reliable, clean future generation. 

• development of emissions portfolio standards applicable to load serving 

entities, distribution companies, “aggregators” and generators, according 

to the structure of the energy supply market 

Executed by the undersigned States this 2nd day of March, 2007: 

_______________________________ 

Connecticut 

_______________________________

Delaware 

_______________________________ 

District of Columbia 

_______________________________

Maine 

______//s//_________________________

Maryland 

_______________________________

Massachusetts 

______________________________ 

New Hampshire 

_______________________________

New Jersey

_______________________________ 

New York 

_______________________________

Pennsylvania 

_______________________________ 

Rhode Island 

_______________________________

Vermont 

_______________________________ 

Virginia 

Appendix G Attachment 16 - Page Number:

4