# APPENDIX A

Air Quality System (AQS) and Indiana Department of Environmental Management(IDEM) Monitor Data Values for the CincinnatiHamilton, OH-KY-IN Nonattainment Area (2000-2009)

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### Monitoring Data for the Cincinnati-H amilton, OH-KY-IN Nonattainment Area

SITE ID STATE COUNTY SITE NAME YEAR Annual Average μg/m3 2007-2009 Average

μg/m3 21-037-3002 Kentucky Campbell John Hill Rd. 2007 14.36

12.51 21-037-3002 Kentucky Campbell John Hill Rd. 2008 11.83 21-037-3002 Kentucky Campbell John Hill Rd. 2009 11.34 21-117-0007 Kentucky Kenton Univ. College 2007 14.20

12.41 21-117-0007 Kentucky Kenton Univ. College 2008 11.99 21-117-0007 Kentucky Kenton Univ. College 2009 11.04
39-017-0003 Ohio Butler Bonita & St. John 2007 15.41

13.93 39-017-0003 Ohio Butler Bonita & St. John 2008 13.69

39-017-0003 Ohio Butler Bonita & St. John 2009 12.68

39-017-0016 Ohio Butler Niles Rd. 2007 14.94

13.92 39-017-0016 Ohio Butler Niles Rd. 2008 13.75

39-017-0016 Ohio Butler Niles Rd. 2009 13.08 39-017-1004 Ohio Butler Hook Fld. Airport 2007 14.63

N/A 39-017-1004 Ohio Butler Hook Fld. Airport 2008 39-017-1004 Ohio Butler Hook Fld. Airport 2009
39-025-0022 Ohio Clermont Clermont Dr. 2007 14.01

12.26 39-025-0022 Ohio Clermont Clermont Dr. 2008 11.75

39-025-0022 Ohio Clermont Clermont Dr. 2009 11.01

39-061-0006 Ohio Hamilton Grooms Rd. 2007 14.63

13.07 39-061-0006 Ohio Hamilton Grooms Rd. 2008 12.48

39-061-0006 Ohio Hamilton Grooms Rd. 2009 12.11 39-061-0014 Ohio Hamilton Seymour & Vine St. 2007 16.59

15.04 39-061-0014 Ohio Hamilton Seymour & Vine St. 2008 15.12 39-061-0014 Ohio Hamilton Seymour & Vine St. 2009 13.40

39-061-0040 Ohio Hamilton Howard Taft 2007 15.09

13.48 39-061-0040 Ohio Hamilton Howard Taft 2008 12.62

39-061-0040 Ohio Hamilton Howard Taft 2009 12.73

39-061-0042 Ohio Hamilton W. 8th St. 2007 15.90

14.67 39-061-0042 Ohio Hamilton W. 8th St. 2008 14.40

39-061-0042 Ohio Hamilton W. 8th St. 2009 13.71 39-061-0043 Ohio Hamilton Kemper Rd. 2007 14.85

N/A 39-061-0043 Ohio Hamilton Kemper Rd. 2008 13.32 39-061-0043 Ohio Hamilton Kemper Rd. 2009

39-061-7001 Ohio Hamilton Sherman Ave. 2007 15.09

13.93 39-061-7001 Ohio Hamilton Sherman Ave. 2008 13.74

39-061-7001 Ohio Hamilton Sherman Ave. 2009 12.97 39-061-8001 Ohio Hamilton Murray Rd. 2007 16.07

14.64 39-061-8001 Ohio Hamilton Murray Rd. 2008 14.40 39-061-8001 Ohio Hamilton Murray Rd. 2009 13.44

39-165-0007 Ohio Warren Southeast St. 2007 13.98

12.53 39-165-0007 Ohio Warren Southeast St. 2008 11.92

39-165-0007 Ohio Warren Southeast St. 2009 11.70
Valued Above the Annual PM 2.5 Standard

### Monitoring Data for the Cincinnati-H amilton, OH-KY-IN Nonattainment Area

Site ID County Site Name Yearly Annual Means

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
21-037-0003 Campbell Alexandria Park 15.09 13.44 14.81 13.42 12.77 14.84 11.54 21-037-3002 Campbell John Hill Rd. 14.36 11.83 11.34 21-117-0007 Kenton Univ. College 16.26 15.25 15.06 14.30 13.42 15.86 13.29 14.20 11.99 11.04

39-017-0003 Butler Bonita & St. John 16.96 16.43 16.83 15.05 14.06 19.04 14.05 15.41 13.69 12.68

39-017-0016 Butler Nilles Rd. 18.85 15.87 15.34 15.83 14.65 17.88 13.99 14.94 13.75 13.08

39-017-0017 Butler Wilwood 17.93 15.79 15.51 14.66 14.20 17.23 39-017-1004 Butler Hook Field Airport 11.62 13.85 14.99 13.57 16.87 13.38 14.63

39-025-0022 Clermont Clermont Dr. 15.73 12.72 14.01 11.75 11.01

39-061-0006 Hamilton Grooms Rd. 16.61 13.29 14.63 12.48 12.11 39-061-0014 Hamilton Seymour & Vine S 19.25 18.16 17.89 16.95 15.91 19.75 15.51 16.59 15.12 13.40

39-0610040 Hamilton Howard Taft 16.72 15.93 15.29 15.50 14.63 17.53 13.57 15.09 12.62 12.73

39-061-0041 Hamilton Winneste Ave. 15.88 16.11 15.10 15.30 14.63 15.77

39-061-0042 Hamilton W. 8th St 20.61 17.63 16.83 16.69 15.99 19.09 14.94 15.90 14.40 13.71 39-061-0043 Hamilton Kemper Rd. 19.10 16.07 15.42 15.67 14.92 16.89 14.47 14.85 13.32

39-061-7001 Hamilton Sherman Ave. 17.24 16.76 16.08 16.01 15.33 18.37 14.37 15.09 13.74 12.97

39-061-8001 Hamilton Murray Rd. 19.27 17.02 16.98 17.31 16.39 20.00 15.90 16.07 14.40 13.44

39-165-0007 Warren Southeast St. 13.98 11.92 11.70

Value above the annual PM 2.5 standard.



### Monitoring Data for the Cincinnati-H amilton, OH-KY-IN Nonattainment Area

Site ID County Site Name Three Year Design Values

00-02 01-03 02-04 03-05 04-06 05-07 06-08 07-09 21-037-0003 Campbell Alexandria Park 14.4 13.9 13.7 13.7 13.1 21-037-3002 Campbell John Hill Rd. 12.5 21-117-0007 Kenton Univ. College 15.5 14.9 14.3 14.5 14.2 14.5 13.2 12.4

39-017-0003 Butler Bonita & St. John 16.7 16.1 15.3 16.1 15.7 16.2 14.4 13.9

39-017-0016 Butler Nilles Rd. 16.7 15.7 15.3 16.1 15.5 15.6 14.2 13.9

39-017-0017 Butler Wilwood 16.4 15.3 14.8 15.4
39-017-1004 Butler Hook Field Airport 13.5 14.1 15.1 14.6 15.0

39-025-0022 Clermont Clermont Dr. 14.2 12.8 12.3

39-061-0006 Hamilton Grooms Rd. 14.8 13.5 13.1 39-061-0014 Hamilton Seymour & Vine St. 18.4 17.7 16.9 17.5 17.1 17.3 15.7 15.0

39-0610040 Hamilton Howard Taft 16.0 15.6 15.1 15.9 15.2 15.4 13.8 13.5

39-061-0041 Hamilton Winneste Ave. 15.7 15.5 15.0 15.2

39-061-0042 Hamilton W. 8th St 18.4 17.1 16.5 17.3 16.7 16.6 15.1 14.7 39-061-0043 Hamilton Kemper Rd. 16.9 15.7 15.3 15.8 15.4 15.4 14.2

39-061-7001 Hamilton Sherman Ave. 16.7 16.3 15.8 16.6 16.0 15.9 14.4 13.9

39-061-8001 Hamilton Murray Rd. 17.8 17.1 16.9 17.9 17.4 17.3 15.5 14.6

39-165-0007 Warren Southeast St. 12.5

Value above the annual PM 2.5 standard.
Note: The Wilwood and Winneste Ave. monitors in Ohio were discontinued on December 31, 2005. The Alexandria Park monitor in Kentucky was discontinued on December 31, 2006. The Hook Fi eld Airport monitor in Ohio was discontinued on December 31, 2007.Design Values for the Cinc innati Area for Fine Part icles, 2003 through 2009

Cincinnati Area Annual Fine Particles Trends, 2005 through 2009

Note: The Wilwood and Winneste Ave. monitors in Ohio were disc ontinued on December 31, 2005. The Alexandria Park monitor in Kentucky was discontinued on December 31 , 2006. The Hook Field Airport monitor in Ohio was discontinued on December 31, 2007. 0 5 10 15 20 25

2005 2006 2007 2008 2009

Alexandria Pk. John Hill Rd. Univ. College Bonita & St. John Nilles Rd. Wilwood Hook Field Airport Clermont Dr.
Grooms Rd. Seymour & Vine St. Howard Taft Winneste Ave.
W. 8th St Kemper Rd. Sherman Ave. Murray Rd. Southeast St.μg/m3 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0AlexandriaPk.JohnHillRd.Univ.CollegeBonita&St.JohnNillesRd.WilwoodHookFieldAirportClermontDr.GroomsRd.Seymour&Vine...HowardTaftWinnesteAve.W.8thStKemperRd.ShermanAve.MurrayRd.SoutheastSt.

03

‐ 05 04

‐ 06 05

‐ 07 06

‐ 08 07

‐ 09μg/m3

# APPENDIX B

Nitrogen Oxides (NO x 

# ), Sulfur Dioxides (SO 2 

# ) and Direct Fine Particulate Matter (PM 2.5 

# ) Point Source Emissions (2005 and 2008) for the Cincinnati-Hamilton, OH-KY-IN Nonattainment Area

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### B-1 Dearborn County, IN Point Source Totals (Tons per Year)
Year NO x SO 2 Direct PM 2.5 2005 9,985.98 47,864.85 741.32 2008 9,409.03 27,063.43 866.20

2005-Dearborn County, IN Point Source Emissions (Tons per Year)

County EGU- NO x NON-EGUNO x EGU-SO 2 NON-EGUSO 2 EGUDirect PM 2.5 NON-EGUDirect PM 2.5 Dearborn, IN 7,961.30 2,024.68 46,533.70 1,331.15 673.94 67.38 NO x SO 2 Direct PM 2.5 Grand Total 9,985.98 47,864.85 741.32

2008-Dearborn County, IN Point Source Emissions (Tons per Year)

County EGU- NO x NON-EGUNO x EGU-SO 2 NON-EGUSO 2 EGUDirect PM 2.5 NON-EGUDirect PM 2.5 Dearborn, IN 7,429.20 1,979.83 25,729.10 1,334.33 804.18 62.02 NO x SO 2 Direct PM 2.5 Grand Total 9,409.03 27,063.43 866.20



### Dearborn County, IN NO x 

### Point Source Emission Trends, 2005 and 2008

9,100 9,200 9,300 9,400 9,500 9,600 9,700 9,800 9,900 10,000 10,100

2005 2008TonsperYear

Year NOX

### B-2 Dearborn County, IN SO 2 

### Point Source Emission Trends, 2005 and 2008

Dearborn County, IN Direct PM 2.5 

### Point Source Emission Trends, 2005 and 2008 ‐ 2,500 5,000 7,500 10,000 12,500 15,000 17,500 20,000 22,500 25,000 27,500 30,000 32,500 35,000 37,500 40,000 42,500 45,000 47,500 50,000 52,500

2005 2008TonsperYear

Year SO2

660 680 700 720 740 760 780 800 820 840 860 880

2005 2008TonsperYear

Year Direct PM 2.5

### B-3 Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area Point Source Totals (Tons per Year)
Year NO x SO 2 Direct PM 2.5 2005 66,302.14 233,927.65 3,415.69 2008 56,644.39 111,818.09 3,091.67

2005-Entire Cincinnati-Hamilton , OH-KY-IN Nonattainment Ar ea Point Source Emissions (Tons per Year) County EGU NO x NON-EGUNO x EGU SO 2 NON-EGUSO 2 EGUDirect PM 2.5 NON-EGUDirect PM 2.5 Dearborn County, IN 7,961.30 2,024.68 46,533.70 1,331.15 673.94 67.38 Boone County, KY 3,926.27 58.03 3,644.98 16.82 76.85 58.77 Campbell County, KY 0.00 53.68 0.00 0.97 0.00 84.25

Kenton County, KY 0.00 19.50 0.00 12.91 0.00 9.53 Butler County, OH 743.27 4,367.15 1,959.10 6,185.26 15.27 944.29 Clermont County, OH 28,063.56 67.50 88,876.65 162.19 648.21 7.93 Hamilton County, OH 15,236.04 2,756.21 77,381.13 7,819.40 648.64 161.88 Warren County, OH 0.00 1,024.95 0.00 3.39 0.00 18.75 NO x SO 2 Direct PM 2.5 Grand Total 66,302.14 233,927.65 3,415.69

2008-Entire Cincinnati-Hamilton , OH-KY-IN Nonattainment Ar ea Point Source Emissions (Tons per Year) County EGU NO x NON-EGUNO x EGU SO 2 NON-EGUSO 2 EGUDirect PM 2.5 NON-EGUDirect PM 2.5 Dearborn County, IN 7,429.20 1,979.83 25,729.10 1,334.33 804.18 62.02 Boone County, KY 1,962.59 61.66 2,812.16 17.97 76.70 68.81 Campbell County, KY 0.00 49.52 0.00 0.96 0.00 89.52

Kenton County, KY 0.00 20.44 0.00 13.89 0.00 11.11 Butler County, OH 856.92 3,940.28 2,181.63 5,442.54 16.78 1,045.15 Clermont County, OH 24,233.18 42.71 42,918.28 118.05 532.61 3.86 Hamilton County, OH 12,372.00 2,652.79 24,693.00 6,552.65 202.88 158.14 Warren County, OH 0.00 1,043.27 0.00 3.53 0.00 19.91 NO x SO 2 Direct PM 2.5 Grand Total 56,644.39 111,818.09 3,091.67

### B-4 Entire Cincinnati-Hamilton, OH-K Y-IN Nonattainment Area NO x 

### Point Source Emission Trends, 2005 and 2008

Entire Cincinnati-Hamilton, OH-K Y-IN Nonattainment Area SO 2 

### Point Source Emission Trends, 2005 and 2008 50,000 52,000 54,000 56,000 58,000 60,000 62,000 64,000 66,000 68,000

2005 2008TonsperYear

Year NOX

50,000 70,000 90,000 110,000 130,000 150,000 170,000 190,000 210,000 230,000 250,000

2005 2008TonsperYear

Year SO2

### B-5 Entire Cincinnati-Hamilton, OH-KY- IN Nonattainment Area Direct PM 2.5 

### Point Source Emission Trends, 2005 and 2008

2,900 3,000 3,100 3,200 3,300 3,400 3,500

2005 2008TonsperYear

Year Direct PM 2.5

# APPENDIX C

Nitrogen Oxides (NO x 

# ), Sulfur Dioxides (SO 2 

# ) and Direct Fine Particulate Matter (PM 2.5 

# ) (2005 and 2008) Emission Trends, All Sources, Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area

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### C-1 2005-Dearborn County, IN COUNTY, STATE Sector NO X Direct PM 2.5 SO 2 DEARBORN COUNTY, IN ONROAD 865.46 33.98 2.45 DEARBORN COUNTY, IN NONROAD 382.53 23.96 40.16 DEARBORN COUNTY, IN AREA 141.37 4.29 78.72 DEARBORN COUNTY, IN POINT 9,985.98 741.32 47,864.85

2005 Dearborn County, IN Totals ONROAD NONROAD AREA POINT GRAND TOTAL
NO X 865.46 382.53 141.37 9,985.98 11,375.34 Direct PM 2.5 33.98 23.96 4.29 741.32 803.55 SO 2 2.45 40.16 78.72 47,864.85 47,986.18

2008-Dearborn County, IN COUNTY, STATE Sector NO X Direct PM 2.5 SO 2 DEARBORN COUNTY, IN ONROAD 748.81 29.89 2.69 DEARBORN COUNTY, IN NONROAD 318.09 19.91 17.38 DEARBORN COUNTY, IN AREA 145.42 4.29 81.02 DEARBORN COUNTY, IN POINT 9,409.03 866.20 27,063.43

2008 Dearborn County, IN Totals ONROAD NONROAD AREA POINT GRAND TOTAL
NO X 748.81 318.09 145.42 9,409.03 10,621.35 Direct PM 2.5 29.89 19.91 4.29 866.20 920.29 SO 2 2.69 17.38 81.02 27,063.43 27,164.52

### C-2 NO x 

### Emission Trends, All Sources in Dearborn County, IN, 2005 and 2008-With CAIR

SO 2 

### Emission Trends, All Sources in Dearborn County, IN, 2005 and 2008-With CAIR 10,200 10,400 10,600 10,800 11,000 11,200 11,400 11,600

2005 2008TonsperYear

Year NOX

‐ 10,000 20,000 30,000 40,000 50,000 60,000

2005 2008TonsperYear

Year SO2

### C-3 Direct PM 2.5 

### Emission Trends, All Sources in Dearborn County, IN, 2005 and 2008- With CAIR

740 760 780 800 820 840 860 880 900 920 940

2005 2008TonsperYear

Year

Direct PM 2.5

### C-4 2005-Entire Cincinnati-Hamilton OH-KY-IN Nonattainment Area COUNTY, STATE Sector NO X Direct PM 2.5 SO 2 DEARBORN COUNTY, IN ONROAD 865.46 33.98 2.45 DEARBORN COUNTY, IN NONROAD 382.53 23.96 40.16 DEARBORN COUNTY, IN AREA 141.37 4.29 78.72 DEARBORN COUNTY, IN POINT 9,985.98 741.32 47,864.85

BOONE COUNTY, KY ONROAD 5,126.88 205.21 15.91 BOONE COUNTY, KY NONROAD 3,858.96 304.76 494.27 BOONE COUNTY, KY AREA 1,844.50 351.27 1,054.33 BOONE COUNTY, KY POINT 3,984.30 135.62 3,661.80 CAMPBELL COUNTY, KY ONROAD 3,041.21 120.30 9.30 CAMPBELL COUNTY, KY NONROAD 1,902.55 80.95 239.99 CAMPBELL COUNTY, KY AREA 523.45 200.08 471.77 CAMPBELL COUNTY, KY POINT 53.68 84.25 0.97

KENTON COUNTY, KY ONROAD 5,328.44 212.29 16.24 KENTON COUNTY, KY NONROAD 2,684.68 119.08 248.34 KENTON COUNTY, KY AREA 1,542.27 365.74 1,196.61 KENTON COUNTY, KY POINT 19.50 9.53 12.91 BUTLER COUNTY, OH ONROAD 10,910.37 413.97 30.01 BUTLER COUNTY, OH NONROAD 3,268.33 216.47 341.20 BUTLER COUNTY, OH AREA 796.34 173.24 224.54 BUTLER COUNTY, OH POINT 5,110.42 959.56 8,144.36 CLERMONT COUNTY, OH ONROAD 7,295.87 281.79 20.51 CLERMONT COUNTY, OH NONROAD 1,477.30 110.65 161.66 CLERMONT COUNTY, OH AREA 612.97 193.70 164.72 CLERMONT COUNTY, OH POINT 28,131.06 656.14 89,038.84 HAMILTON COUNTY, OH ONROAD 31,127.09 1,222.02 88.85 HAMILTON COUNTY, OH NONROAD 6,309.78 398.01 592.45 HAMILTON COUNTY, OH AREA 1,923.27 303.61 163.45 HAMILTON COUNTY, OH POINT 17,992.25 810.52 85,200.53

WARREN COUNTY, OH ONROAD 8,224.57 320.74 208.73 WARREN COUNTY, OH NONROAD 1,886.04 146.67 31.67 WARREN COUNTY, OH AREA 426.57 236.92 140.25 WARREN COUNTY, OH POINT 1,024.95 18.75 3.39

2005 Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area Totals ONROAD NONROAD AREA POINT GRAND TOTAL
NO X 71,919.89 21,770.17 7,810.74 66,302.14 167,802.93 Direct PM 2.5 2,810.30 1,400.55 1,828.85 3,415.69 9,455.39 SO 2 392.00 2,149.74 3,494.39 233,927.65 239,963.79

### C-5 2008-Entire Cincinnati-Hamilton OH-KY-IN Nonattainment Area COUNTY, STATE Sector NO X Direct PM 2.5 SO 2 DEARBORN COUNTY, IN ONROAD 748.81 29.89 2.69 DEARBORN COUNTY, IN NONROAD 318.09 19.91 17.38 DEARBORN COUNTY, IN AREA 145.42 4.29 81.02 DEARBORN COUNTY, IN POINT 9,409.03 866.20 27,063.43

BOONE COUNTY, KY ONROAD 5,067.94 251.85 16.71 BOONE COUNTY, KY NONROAD 3,772.42 310.52 435.93 BOONE COUNTY, KY AREA 1,897.28 353.71 1,066.79 BOONE COUNTY, KY POINT 2,024.25 145.51 2,830.13 CAMPBELL COUNTY, KY ONROAD 2,988.33 146.46 9.69 CAMPBELL COUNTY, KY NONROAD 1,833.46 76.09 206.21 CAMPBELL COUNTY, KY AREA 536.71 201.26 479.14 CAMPBELL COUNTY, KY POINT 49.52 89.52 0.96

KENTON COUNTY, KY ONROAD 5,057.93 247.31 16.34 KENTON COUNTY, KY NONROAD 2,562.60 110.61 190.40 KENTON COUNTY, KY AREA 1,581.60 366.69 1,210.42 KENTON COUNTY, KY POINT 20.44 11.11 13.89 BUTLER COUNTY, OH ONROAD 9,803.70 377.64 34.25 BUTLER COUNTY, OH NONROAD 2,833.89 185.81 174.34 BUTLER COUNTY, OH AREA 807.64 180.43 221.09 BUTLER COUNTY, OH POINT 4,797.20 1,061.93 7,624.17 CLERMONT COUNTY, OH ONROAD 6,516.40 256.60 23.32 CLERMONT COUNTY, OH NONROAD 1,284.92 95.48 66.25 CLERMONT COUNTY, OH AREA 619.27 196.15 162.20 CLERMONT COUNTY, OH POINT 24,275.89 536.47 43,036.33 HAMILTON COUNTY, OH ONROAD 27,020.93 1,080.54 98.30 HAMILTON COUNTY, OH NONROAD 5,402.04 345.12 274.62 HAMILTON COUNTY, OH AREA 1,955.47 323.94 161.80 HAMILTON COUNTY, OH POINT 15,024.79 361.02 31,245.65

WARREN COUNTY, OH ONROAD 7,267.18 289.56 76.29 WARREN COUNTY, OH NONROAD 1,607.45 124.78 34.56 WARREN COUNTY, OH AREA 432.28 238.33 138.31 WARREN COUNTY, OH POINT 1,043.27 19.91 3.53

2008 Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area Totals ONROAD NONROAD AREA POINT GRAND TOTAL
NO X 64,471.22 19,614.87 7,975.67 56,644.39 148,706.15 Direct PM 2.5 2,679.85 1,268.32 1,864.80 3,091.67 8,904.64 SO 2 277.59 1,399.69 3,520.77 111,818.09 117,016.14

### C-6 NO x 

### Emission Trends, All Sources in En tire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area, 2005 and 2008-With CAIR

SO 2 

### Emission Trends, All Sources in En tire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area, 2005 and 2008-With CAIR 135,000 140,000 145,000 150,000 155,000 160,000 165,000 170,000

2005 2008TonsperYear

Year NOX

‐ 50,000 100,000 150,000 200,000 250,000 300,000

2005 2008TonsperYear

Year SO2

### C-7 Direct PM 2.5 

### Emission Trends, All Sources in Entire Cincinnati-Hamilton, OH-KYIN Nonattainment Area, 2005 and 2008-IN/KY-With CAIR, OH-Without CAIR

8,600 8,700 8,800 8,900 9,000 9,100 9,200 9,300 9,400 9,500

2005 2008TonsperYear

Year Direct PM 2.5

# APPENDIX D

Nitrogen Oxides (NO x 

# ) and Sulfur Dioxide (SO 2 

# ) Emissions from Electric Generating Units, Lawrenceburg Township, Dearborn County,Indiana and Entire Cincinnati-Hamilton, OH-KYIN Nonattainment Area

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### D-1 Lawrenceburg Township, Dearborn County, Indiana NO x 

### Emissions from EGUs

Lawrenceburg Township, Dearborn County, Indiana NO x 

### Emissions from EGUs

Year Total NO x Emissions, tons/year 1999 33,807.1 2000 32,657.1 2001 25,774.7 2002 17,533.8 2003 13,416.7 2004 12,552.8 2005 7,961.3 2006 8,041.6 2007 8,739.2 2008 7,429.2 2009 3,529.3

0.0 5,000.0 10,000.0 15,000.0 20,000.0 25,000.0 30,000.0 35,000.0 40,000.0

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Total NOx Emissions, tons / year

### D-2 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs

Year Total NO x Emissions, tons/year 1999 115,477.8 2000 107,227.9 2001 90,347.2 2002 80,808.6 2003 73,084.4 2004 65,491.6 2005 55,492.4 2006 52,004.5 2007 50,979.6 2008 48,464.0 2009 24,997.8



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs

0.0 20,000.0 40,000.0 60,000.0 80,000.0 100,000.0 120,000.0 140,000.0

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Total NOx Emissions, tons / year

### D-3 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 1999 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 33,807.1 Kentucky East Bend 10,113.8

Ohio Miami Fort Generating Station 26,429.1

Ohio William H Zimmer Generating Station 22,792.3

Ohio Walter C Beckjord Generating Station 22,091.4 Ohio Woodsdale 244.1 Total 115,477.8



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2000 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 32,657.1 Kentucky East Bend 8,671.0

Ohio Madison Generating Station 15.1 Ohio Miami Fort Generating Station 25,518.8

Ohio William H Zimmer Generating Station 18,682.3

Ohio Walter C Beckjord Generating Station 21,408.7 Ohio Woodsdale 274.9 Total 107,227.9



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2001 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 25,774.7 Kentucky East Bend 8,161.5

Ohio Madison Generating Station 32.0 Ohio Miami Fort Generating Station 18,598.8

Ohio William H Zimmer Generating Station 20,886.3

Ohio Walter C Beckjord Generating Station 16,743.0 Ohio Woodsdale 150.9 Total 90,347.2

### D-4 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2002 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 17,533.8 Kentucky East Bend 5,454.9

Ohio Madison Generating Station 48.7 Ohio Miami Fort Generating Station 17,941.5

Ohio William H Zimmer Generating Station 20,965.6

Ohio Walter C Beckjord Generating Station 18,736.8 Ohio Woodsdale 127.3 Total 80,808.6



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2003 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 13,416.7 Kentucky East Bend 7,056.0

Ohio Madison Generating Station 51.7 Ohio Miami Fort Generating Station 15,593.7

Ohio William H Zimmer Generating Station 20,174.0

Ohio Walter C Beckjord Generating Station 16,727.9 Ohio Woodsdale 64.4 Total 73,084.4



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2004 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 12,552.8 Kentucky East Bend 6,187.2

Ohio Madison Generating Station 14.0 Ohio Miami Fort Generating Station 17,102.2

Ohio William H Zimmer Generating Station 14,692.7

Ohio Walter C Beckjord Generating Station 14.914.2 Ohio Woodsdale 28.5 Total 65,491.6

### D-5 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2005 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 7,961.3 Kentucky East Bend 3,952.2

Ohio Madison Generating Station 91.5 Ohio Miami Fort Generating Station 15,264.6

Ohio William H Zimmer Generating Station 15,153.0

Ohio Walter C Beckjord Generating Station 13,012.8 Ohio Woodsdale 57.0 Total 55,492.4



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2006 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 8,041.6 Kentucky East Bend 5,399.7

Ohio Madison Generating Station 38.4 Ohio Miami Fort Generating Station 12,797.9

Ohio William H Zimmer Generating Station 13,851.3

Ohio Walter C Beckjord Generating Station 11,830.2 Ohio Woodsdale 45.4 Total 52,004.5



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2007 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 8,739.2 Kentucky East Bend 5,563.0

Ohio Madison Generating Station 44.3 Ohio Miami Fort Generating Station 9,754.6

Ohio William H Zimmer Generating Station 13,736.6

Ohio Walter C Beckjord Generating Station 13,031.8 Ohio Woodsdale 110.1 Total 50,979.6

### D-6 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2008 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 7,429.2 Kentucky East Bend 4,492.4

Ohio Madison Generating Station 16.1 Ohio Miami Fort Generating Station 12,371.7

Ohio William H Zimmer Generating Station 16,531.1

Ohio Walter C Beckjord Generating Station 7,549.0 Ohio Woodsdale 74.5 Total 48,464.0



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area NO x 

### Emissions from EGUs, 2009 State Facility NO x Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 3,529.3 Kentucky East Bend 2,436.2

Ohio Madison Generating Station 25.6 Ohio Miami Fort Generating Station 4,337.8

Ohio William H Zimmer Generating Station 3,646.4

Ohio Walter C Beckjord Generating Station 10,948.2 Ohio Woodsdale 74.3 Total 24,997.8

### D-7 Lawrenceburg Township, Dearborn County, Indiana SO 2 

### Emissions from EGUs

Year Total SO 2 Emissions, tons/year 1999 50,715.7 2000 67,446.1 2001 55,430.6 2002 62,531.7 2003 53,175.0 2004 64,387.3 2005 46,533.7 2006 35,494.2 2007 33,828.9 2008 25,729.1 2009 16,442.3



### Lawrenceburg Township, Dearborn County, Indiana SO 2 

### Emissions from EGUs

0.0 10,000.0 20,000.0 30,000.0 40,000.0 50,000.0 60,000.0 70,000.0 80,000.0

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Total SO2 Emissions, tons / year

### D-8 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs

Year Total SO 2 Emissions, tons/year 1999 240,983.6 2000 254,655.4 2001 225,526.3 2002 252,572.9 2003 237,439.2 2004 272,465.6 2005 217,111.1 2006 186,150.3 2007 154,905.1 2008 95,498.4 2009 99,757.0



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs

0.0 50,000.0 100,000.0 150,000.0 200,000.0 250,000.0 300,000.0

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Total SO2 Emissions, tons / year

### D-9 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 1999
State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 50,715.7 Kentucky East Bend 18,095.8

Ohio Miami Fort Generating Station 78,086.2

Ohio William H Zimmer Generating Station 25,482.4

Ohio Walter C Beckjord Generating Station 68,601.7 Ohio Woodsdale 1.8 Total 240,983.6



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2000 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 67,446.1 Kentucky East Bend 14,850.4

Ohio Madison Generating Station 0.2 Ohio Miami Fort Generating Station 81,512.4

Ohio William H Zimmer Generating Station 19,410.6

Ohio Walter C Beckjord Generating Station 71,433.5 Ohio Woodsdale 2.2 Total 254,655.4



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2001 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 55,430.6 Kentucky East Bend 13,106.5

Ohio Madison Generating Station 0.6 Ohio Miami Fort Generating Station 73,538.9

Ohio William H Zimmer Generating Station 21,651.5

Ohio Walter C Beckjord Generating Station 61,797.4 Ohio Woodsdale 0.8 Total 225,526.3

### D-10 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2002 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 62,531.7 Kentucky East Bend 12,918.1

Ohio Madison Generating Station 0.7 Ohio Miami Fort Generating Station 85,699.4

Ohio William H Zimmer Generating Station 21,491.8

Ohio Walter C Beckjord Generating Station 69,930.6 Ohio Woodsdale 0.6 Total 252,572.9



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2003 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 53,175.0 Kentucky East Bend 14,959.8

Ohio Madison Generating Station 0.2 Ohio Miami Fort Generating Station 81,514.6

Ohio William H Zimmer Generating Station 22,917.9

Ohio Walter C Beckjord Generating Station 64,871.3 Ohio Woodsdale 0.4 Total 237,439.2



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2004 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 64,387.3 Kentucky East Bend 11,545.5

Ohio Madison Generating Station 0.2 Ohio Miami Fort Generating Station 100,576.7

Ohio William H Zimmer Generating Station 21,638.3

Ohio Walter C Beckjord Generating Station 74,317.5 Ohio Woodsdale 0.1 Total 272,465.6

### D-11 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2005 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 46,533.7 Kentucky East Bend 3,666.7

Ohio Madison Generating Station 1.6 Ohio Miami Fort Generating Station 77,583.2

Ohio William H Zimmer Generating Station 22,379.5

Ohio Walter C Beckjord Generating Station 66,946.1 Ohio Woodsdale 0.3 Total 217,111.1



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2006 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 35,494.2 Kentucky East Bend 3,946.5

Ohio Madison Generating Station 0.7 Ohio Miami Fort Generating Station 62,028.0

Ohio William H Zimmer Generating Station 22,054.1

Ohio Walter C Beckjord Generating Station 62,626.6 Ohio Woodsdale 0.2 Total 186,150.3



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2007 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 33,828.9 Kentucky East Bend 2,451.8

Ohio Madison Generating Station 0.8 Ohio Miami Fort Generating Station 46,938.9

Ohio William H Zimmer Generating Station 16,776.4

Ohio Walter C Beckjord Generating Station 54,907.7 Ohio Woodsdale 0.6 Total 154,905.1

### D-12 Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2008 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 25,729.1 Kentucky East Bend 2,713.4

Ohio Madison Generating Station 0.2 Ohio Miami Fort Generating Station 24,693.2

Ohio William H Zimmer Generating Station 15,961.6

Ohio Walter C Beckjord Generating Station 26,400.5 Ohio Woodsdale 0.4 Total 95,498.4



### Entire Cincinnati-Hamilton OH-K Y-IN Nonattainment Area SO 2 

### Emissions from EGUs, 2009 State Facility SO 2 Emissions, tons/year

Indiana American Electric Power (AEP)- Tanners Creek Generating Station 16,442.3 Kentucky East Bend 1,724.6

Ohio Madison Generating Station 0.4 Ohio Miami Fort Generating Station 25,339.9

Ohio William H Zimmer Generating Station 14,284.9

Ohio Walter C Beckjord Generating Station 41,964.5 Ohio Woodsdale 0.4 Total 99,757.0

# APPENDIX E

2008 Base Year Emissions Inventory and 2015 and 2021 Projected Emissions Inventory for Nitrogen Oxides (NO x 

# ), Sulfur Dioxides (SO 2 

# ) and Direct Fine Particulate Matter (PM 2.5 

# ) in Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area

### This page left intentionally blank.

### E-1 2008 Lawrenceburg Township, Dearborn County, IN (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 29.89 19.91 4.29 804.18 62.02 920.29

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 2.69 17.38 81.02 25,729.10 1,334.33 27,164.52

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 748.81 318.09 145.42 7,429.20 1,979.83 10,621.35



### 2015 Lawrenceburg Township, Dearborn County, IN (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 25.14 13.34 4.11 847.16 60.00 949.75

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 2.87 4.73 77.64 39,295.70 1,335.94 40,716.88

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 482.33 219.83 143.39 9,862.76 1,965.19 12,673.50



### 2021 Lawrenceburg Township, Dearborn County, IN (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 18.11 9.07 3.98 922.81 57.32 1,011.29

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 3.19 1.14 75.69 36,843.66 1,337.95 38,261.63

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 297.95 154.18 142.90 11,229.31 1,943.22 13,767.56



### Lawrenceburg Township, Dearborn Count y, IN Percent Change (Tons Per Year) 2008 2021 Change % Change NO x 10,621.35 13,767.56 3,146.21 29.6% SO 2 27,164.52 38,261.63 11,097.11 40.8% Direct PM 2.5 920.29 1,011.29 91.00 9.8%

### E-2 Comparison of 2008 and 2015 and 2021 Projected NO x 

### Emissions, Lawrenceburg Township, Dearborn Co unty, Indiana-With CAIR

Comparison of 2008 and 2015 and 2021 Projected SO 2 

### Emissions, Lawrenceburg Township, Dearborn Co unty, Indiana-With CAIR

‐ 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000

2008 2015 2021TonsperYear

Year SO2 ‐ 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000

2008 2015 2021TonsperYear

Year NOX

### E-3 Comparison of 2008 and 2015 and 2021 Projected Direct PM 2.5 

### Emissions, Lawrenceburg Township, Dearbo rn County, Indiana-With CAIR

Comparison of 2008 and 2015 and 2021 Projected SO 2 

### , NO x 

### and Direct PM 2.5 

### Emissions, Lawrenceburg Township, Dearborn County, Indiana-With CAIR 860 880 900 920 940 960 980 1,000 1,020

2008 2015 2021TonsperYear

Year Direct PM 2.5

‐ 5,000.00 10,000.00 15,000.00 20,000.00 25,000.00 30,000.00 35,000.00 40,000.00 45,000.00

2008 2015 2021TonsperYear

NOX SO2 Direct PM2.5

### E-4

### E-5 2008 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 29.89 19.91 4.29 804.18 62.02 920.29 BOONE COUNTY, KY 251.85 310.52 353.71 76.70 68.81 1,061.59 CAMPBELL COUNTY, KY 146.46 76.09 201.26 0.00 89.52 513.33 KENTON COUNTY, KY 247.31 110.61 366.69 0.00 11.11 735.72 BUTLER COUNTY, OH 377.64 185.81 180.43 16.78 1,045.15 1,805.81 CLERMONT COUNTY, OH 256.60 95.48 196.15 532.61 3.86 1,084.70 HAMILTON COUNTY, OH 1,080.54 345.12 323.94 202.88 158.14 2,110.62 WARREN COUNTY, OH 289.56 124.78 238.33 0.00 19.91 672.58 2,679.85 1,268.32 1,864.80 1,633.15 1,458.52 GRAND TOTAL 8,904.64



### 2008 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 2.69 17.38 81.02 25,729.10 1,334.33 27,164.52 BOONE COUNTY, KY 16.71 435.93 1,066.79 2,812.16 17.97 4,349.56 CAMPBELL COUNTY, KY 9.69 206.21 479.14 0.00 0.96 696.00 KENTON COUNTY, KY 16.34 190.40 1,210.42 0.00 13.89 1,431.05 BUTLER COUNTY, OH 34.25 174.34 221.09 2,181.63 5,442.54 8,053.85 CLERMONT COUNTY, OH 23.32 66.25 162.20 42,918.28 118.05 43,288.10 HAMILTON COUNTY, OH 98.30 274.62 161.80 24,693.00 6,552.65 31,780.37 WARREN COUNTY, OH 76.29 34.56 138.31 0.00 3.53 252.69 277.59 1,399.69 3,520.77 98, 334.17 13,483.92 GRAND TOTAL 117,016.14



### 2008 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 748.81 318.09 145.42 7,429.20 1,979.83 10,621.35 BOONE COUNTY, KY 5,067.94 3,772.42 1,897. 28 1,962.59 61.66 12,761.89 CAMPBELL COUNTY, KY 2,988.33 1,833.46 536.71 0.00 49.52 5,408.02 KENTON COUNTY, KY 5,057.93 2,562.60 1,581.60 0.00 20.44 9,222.57 BUTLER COUNTY, OH 9,803.70 2,833.89 807. 64 856.92 3,940.28 18,242.43 CLERMONT COUNTY, OH 6,516.40 1,284.92 619. 27 24,233.18 42.71 32,696.48 HAMILTON COUNTY, OH 27,020.93 5,402.04 1,955.47 12,372.00 2,652.79 49,403.23 WARREN COUNTY, OH 7,267.18 1,607.45 432. 28 0.00 1,043.27 10,350.18 64,471.22 19,614.87 7,975.67 46,853.89 9,790.50 GRAND TOTAL 148,706.15

### E-6 2015 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 25.14 13.34 4.11 847.16 60.00 949.75 BOONE COUNTY, KY 151.35 268.43 359.57 80.70 84.35 944.40 CAMPBELL COUNTY, KY 82.36 57.43 200.05 0.00 101.84 441.68 KENTON COUNTY, KY 137.40 83.03 363.77 0.00 13.50 597.70 BUTLER COUNTY, OH 301.16 125.76 180.86 15.86 1,254.70 1,878.34 CLERMONT COUNTY, OH 204.32 66.05 193.49 651.88 6.42 1,122.16 HAMILTON COUNTY, OH 826.00 242.40 330.03 554.65 171.28 2,124.36 WARREN COUNTY, OH 242.05 81.22 233.88 0.00 19.01 576.16 1,969.78 937.66 1,865.76 2,150.25 1,711.10 GRAND TOTAL 8,634.55



### 2015 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 2.87 4.73 77.64 39,295.70 1,335.94 40,716.88 BOONE COUNTY, KY 20.67 328.37 1,093.47 2,617.84 19.50 4,079.85 CAMPBELL COUNTY, KY 11.21 149.28 491.66 0.00 1.04 653.19 KENTON COUNTY, KY 18.62 127.09 1,238.92 0.00 15.16 1,399.79 BUTLER COUNTY, OH 34.28 77.70 209.01 654.49 6,847.48 7,822.96 CLERMONT COUNTY, OH 23.34 13.31 151.29 32,590.92 148.28 32,927.14 HAMILTON COUNTY, OH 94.43 93.43 151.81 16,390.65 7,739.34 24,469.66 WARREN COUNTY, OH 11.87 34.11 131.36 0.00 3.45 180.79 217.29 828.02 3,545.16 91,549.60 16,110.19 GRAND TOTAL 112,250.26



### 2015 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 482.33 219.83 143.39 9,862.76 1,965.19 12,673.50 BOONE COUNTY, KY 2,788.45 2,892.72 1,985.25 1,504.39 66.48 9,237.29 CAMPBELL COUNTY, KY 1,570.14 1,345.37 563.83 0.00 53.81 3,533.15 KENTON COUNTY, KY 2,637.63 1,848.86 1,654.75 0.00 21.79 6,163.03 BUTLER COUNTY, OH 6,064.61 1,774.59 811.94 343.95 4,626.45 13,621.54 CLERMONT COUNTY, OH 3,993.63 814.05 620.94 16,491.26 60.83 21,980.71 HAMILTON COUNTY, OH 15,925.19 3,374.79 1,974.77 7,236.90 2,943.73 31,455.38 WARREN COUNTY, OH 4,598.44 979.43 434.26 0.00 1,035.29 7,047.42 38,060.42 13,249.64 8,189.13 35,439.26 10,773.57 GRAND TOTAL 105,712.02

### E-7 2021 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

PM 2.5 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 18.11 9.07 3.98 922.81 57.32 1,011.29 BOONE COUNTY, KY 114.05 236.53 364.58 83.42 98.94 897.52 CAMPBELL COUNTY, KY 60.09 41.99 199.32 0.00 112.39 413.79 KENTON COUNTY, KY 101.24 59.98 361.65 0.00 15.76 538.63 BUTLER COUNTY, OH 215.76 73.41 182.45 15.59 1,337.03 1,824.24 CLERMONT COUNTY, OH 145.39 40.37 191.83 711.22 7.33 1,096.14 HAMILTON COUNTY, OH 571.48 152.80 338.37 708.74 179.45 1,950.84 WARREN COUNTY, OH 177.61 43.32 230.65 0.00 18.60 470.18 1,403.73 657.47 1,872.83 2,441.78 1,826.82 GRAND TOTAL 8,202.63



### 2021 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

SO 2 ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 3.19 1.14 75.69 36,843.66 1,337.95 38,261.63 BOONE COUNTY, KY 24.37 250.36 1,116.53 2,534.56 21.01 3,946.83 CAMPBELL COUNTY, KY 12.77 103.78 502.75 0.00 1.09 620.39 KENTON COUNTY, KY 21.48 78.99 1,263.63 0.00 16.41 1,380.51 BUTLER COUNTY, OH 37.90 50.24 198.96 0.00 6,828.13 7,115.23 CLERMONT COUNTY, OH 25.66 1.21 142.32 20,589.16 160.98 20,919.33 HAMILTON COUNTY, OH 100.82 36.13 143.71 7,508.46 8,309.88 16,099.00 WARREN COUNTY, OH 1.73 36.61 125.59 0.00 3.42 167.35 227.92 558.46 3,569.18 67,475.84 16,678.87 GRAND TOTAL 88,510.27



### 2021 Entire Cincinnati-Hamilton, OH-KY-I N Nonattainment Area (Tons Per Year)

NO x ONROAD NONROAD AREA EGU POINT TOTAL DEARBORN COUNTY, IN 297.95 154.18 142.90 11,229.31 1,943.22 13,767.56 BOONE COUNTY, KY 1,772.72 2,189.66 2,063.30 1,308.03 71.21 7,404.92 CAMPBELL COUNTY, KY 985.28 951.58 587.37 0.00 55.21 2,579.44 KENTON COUNTY, KY 1,677.96 1,269.32 1,718.86 0.00 23.09 4,689.23 BUTLER COUNTY, OH 3,757.91 870.06 817.28 124.10 4,686.11 10,255.46 CLERMONT COUNTY, OH 2,449.31 412.09 623.36 10,451.28 68.68 14,004.72 HAMILTON COUNTY, OH 9,530.16 1,630.33 1,995.51 5,036.15 3,139.37 21,331.52 WARREN COUNTY, OH 2,875.72 439.48 436.82 0.00 1,034.26 4,786.28 23,347.01 7,916.70 8,385.40 28,148.87 11,021.15 GRAND TOTAL 78,819.13



### Entire Cincinnati-Hamilton, OH-KY-IN Nonattai nment Area Percent Change (Tons Per Year) 2008 2021 Change % Change NO x 148,706.15 78,819.13 -69,887.02 -46.9% SO 2 117,016.14 88,510.27 -28,505.87 -24.3% Direct PM 2.5 8,904.64 8,202.63 -702.01 -7.8%

### E-8 Comparison of 2008 and 2015 and 2021 Projected NO x 

### Emissions for the Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area-With CAIR

Comparison of 2008 and 2015 and 2021 Projected SO 2 

### Emissions for the Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area-With CAIR ‐ 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000

2008 2015 2021TonsperYear

Year NOX

‐ 20,000 40,000 60,000 80,000 100,000 120,000 140,000

2008 2015 2021TonsperYear

Year SO2

### E-9 Comparison of 2008 and 2015 and 2021 Projected Direct PM 2.5 

### Emissions for the Entire Cincinnati-Hamilton, OH-KY-IN Nonattainment Area-IN/KY-With CAIR, OH-Without CAIR

Comparison of 2008 and 2015 and 2021 Projected SO 2 

### , NO x 

### and Direct PM 2.5 

### Emissions for the Entire Cincinnati-H amilton, OH-KY-IN Nonattainment Area- (NO x 

### and SO 2 

### With CAIR, IN/KY PM 2.5 

### With CAIR, OH PM 2.5 

### -Without CAIR) 7,800 8,000 8,200 8,400 8,600 8,800 9,000

2008 2015 2021TonsperYear

Year Direct PM2.5

‐ 20,000.00 40,000.00 60,000.00 80,000.00 100,000.00 120,000.00 140,000.00 160,000.00

2008 2015 2021TonsperYear

NOX SO2 Direct PM2.5

# APPENDIX F

Mobile Source Input/Output Calculation Files

### F - 1 This page left intentionally blank.

# Mobile Source Emissions Inventory for Cincinnati PM2.5 Nonattainment

Area

Includes a portion of Dearborn County, Indiana, the counties of Boone, Campbell, Kenton in Kentucky, and the counties of Butler, Cle rmont, Hamilton, and Warren in Ohio. Emission estimates for the Year 2005, 2008, 2011, 2015, 2018, and 2021 developed in support of the PM2.5 State Implementat ion Plan

August 2010

P repared for the Indiana Department of Environmental Management, the Kentucky Division

for Air Quality and the Ohio Environmental Protecti on Agency by

OKI Regional Council of Governments

## Acknowledgments

Title Mobile Source Emissions Inventory for Cincinnati P M2.5 Nonattainment
Area

Abstract This report was prepared for the Indiana Department of Environmental Management, the Kentucky Division for Air Quality a nd the Ohio Environmental Protection Agency. The Cincinnati PM 2.5 nonattainment area includes a portion of Dearborn County Indiana, the counties of Boone, Campbell, Kenton in Kentucky, and the counties of B utler, Clermont, Hamilton, and Warren in Ohio. This report includes emission estimates for the years 2005, 2008, 2011, 2015, 2018 and 2021 was generated to support the attainment SIPs for the annual PM2.5 standard. EPA’s Motor Vehicle Emission Simulation (MOVES) 2010 was used to genera te the emission

rates.

Date August 2010

Agency Ohio-Kentucky-Indiana Regional Council of Governme nts Mark Policinski, Executive Director Robert Koehler, P.E., Deputy Director

Project Manager

Andrew J. Reser, AICP

Project Staff

Harikishan Perugu, PTP Larry Buckler

The preparation of this document was financed coope ratively by the Federal Highway Administration, the Federal Transit Administration, the Commonwealt h of Kentucky Transportation Cabinet, the Ohio Department of Transportation, and the units of loca l and county government in the OKI region. The opinions, findings, and conclusions expressed in th is document are those of the OKI Regional Council o f Governments and are not necessarily those of the U. S. Department of Transportation. This report does not constitute a standard, specification, or regula tion.

# MOBILE Source Emissions Inventory for the Cincinnati PM2.5 nonattainment area

This report was prepared for the Indiana Department of Environmental Management, the Kentucky Division for Air Quality and the Ohio Environmental Protection Agency. The Cincinnati PM2.5 nonattainment area includes a portion of Dearborn C ounty Indiana, the counties of Boone, Campbell, Kenton in Kentucky, and the counties of Butler, Cle rmont, Hamilton, and Warren in Ohio. This report includes emission estimates for the years 2005, 200 8, 2011, 2015, 2018 and 2021 was generated to support the attainment SIPs for the annual PM2.5 st andard. EPA’s Motor Vehicle Emissions Simulator (MOVES) 2010 model was used to generate the vehicle emission rates. In December 2009, MOVES replaced MOBILE6.2 as the EPA’s official emission f actor model. Technical details on OKI’s use of MOVES can be found in the Appendix. The OKI travel demand model version 7.6 was used to generate VMT and speed estimates. MOVES emission rates wer e generated for direct PM2.5, PM2.5 tirewear, PM2.5 brakewear, NO x 

### and SO 2



### . OKI, as the MPO, is responsible for transportation planning and air quality/transportation conformity. Transportation conformity is a mechanism to ensure that federal funding and approval are given to those transportation activities that are consistent with the air quality goals of the State Implementa tion Plans (SIPs) for Indiana, Kentucky and Ohio. The S IPs include an inventory of projected emissions fro m vehicles. One or more of the analysis years in the projected inventory may be designated as the motor vehicle emissions budget (MVEB). This budget establ ishes a maximum allowable limit on future emissions from vehicles (mobile sources). OKI’s tr ansportation plans and programs must be shown to be in conformity with all SIP provisions. The conf ormity process is a quantitative analysis, using U.S.EPA’s vehicle emissions software (currently MOV ES), demonstrating that forecasted regional vehicle emissions do not exceed the established budget.

Table 1 shows daily and annual mobile source emissi ons for the combined Indiana and Ohio portions of the nonattainment area, as well as the Kentucky por tion of the nonattainment area. Separate MVEB’s are typically designated for these two areas. Alth ough official federal guidance on the use of MOVES for PM2.5 SIP development was not available at the time of this analysis, the Federal Highway Administration (FHWA) along with state and local ai r quality staff were consulted periodically throughout the development of these emissions. An additional safety margin should be added to the MVEB’s due uncertainty with growth assumptions util ized in the OKI travel demand model and uncertainty regarding the use of MOVES. Daily and annual mobile source emissions for each county in
the nonattainment area are shown in Table 2.

## Table 1. Mobile Source Emissions for the Cincinnati PM2.5 Nonattainment Area (tons)

Year Pollutant Name DailyEmissions AnnualEmissions 

### Kentucky Portion of NA Area

**2005** Annual VMT: 3,289,109,202 Daily VMT: 9,621,110 Vehicle Population: 364,081
**Oxides of Nitrogen** 39.10 13,496.54 **Primary Exhaust PM2.5 - Total** 1.36 466.23 **Primary PM2.5 - Brakewear Particulate** 0.16 54.04 **Primary PM2.5 - Tirewear Particulate** 0.05 17.52 **Sulfur Dioxide (SO2)** 0.12 41.46

**2008** Annual VMT: 3,425,339,505 Daily VMT: 9,991,179 Vehicle Population: 375,873
**Oxides of Nitrogen** 37.91 13,114.20 **Primary Exhaust PM2.5 - Total** 1.64 562.84 **Primary PM2.5 - Brakewear Particulate** 0.18 62.10 **Primary PM2.5 - Tirewear Particulate** 0.06 20.70 **Sulfur Dioxide (SO2)** 0.12 42.74

**2011** Annual VMT: 3,587,796,186 Daily VMT: 10,490,143 Vehicle Population: 381,911
**Oxides of Nitrogen** 29.33 10,141.52 **Primary Exhaust PM2.5 - Total** 1.19 407.74 **Primary PM2.5 - Brakewear Particulate** 0.20 68.38 **Primary PM2.5 - Tirewear Particulate** 0.07 22.68 **Sulfur Dioxide (SO2)** 0.13 45.36

**2015** Annual VMT: 3,931,385,741 Daily VMT: 11,495,496 Vehicle Population: 394,278
**Oxides of Nitrogen** 20.18 6,996.21 **Primary Exhaust PM2.5 - Total** 0.78 267.30 **Primary PM2.5 - Brakewear Particulate** 0.23 77.94 **Primary PM2.5 - Tirewear Particulate** 0.08 25.88 **Sulfur Dioxide (SO2)** 0.15 50.50

**2018** Annual VMT: 4,163,203,435 Daily VMT: 12,173,549 Vehicle Population: 403,817
**Oxides of Nitrogen** 15.78 5,480.81 **Primary Exhaust PM2.5 - Total** 0.59 202.15 **Primary PM2.5 - Brakewear Particulate** 0.27 91.15 **Primary PM2.5 - Tirewear Particulate** 0.09 30.09 **Sulfur Dioxide (SO2)** 0.16 56.28

**2021** Annual VMT: 4,286,834,360 Daily VMT: 12,534,236 Vehicle Population: 413,587
**Oxides of Nitrogen** 12.75 4,435.96 **Primary Exhaust PM2.5 - Total** 0.43 146.79 **Primary PM2.5 - Brakewear Particulate** 0.28 96.84 **Primary PM2.5 - Tirewear Particulate** 0.09 31.74 **Sulfur Dioxide (SO2)** 0.17 58.63

17-Aug-10 Page 1 of 2 MOVES 2010 and OKI Travel Demand Model v7.6Year Pollutant Name DailyEmissions AnnualEmissions 

### Ohio/Indiana Portion of NA Area

**2005** Annual VMT: 13,541,324,003 Daily VMT: 39,564,030 Vehicle Population: 1,754,582
**Oxides of Nitrogen** 168.89 58,423.36 **Primary Exhaust PM2.5 - Total** 5.74 1,979.63 **Primary PM2.5 - Brakewear Particulate** 0.65 223.20 **Primary PM2.5 - Tirewear Particulate** 0.20 69.67 **Sulfur Dioxide (SO2)** 0.48 165.35

**2008** Annual VMT: 14,015,754,874 Daily VMT: 40,858,751 Vehicle Population: 1,811,406
**Oxides of Nitrogen** 148.02 51,357.02 **Primary Exhaust PM2.5 - Total** 4.85 1,675.04 **Primary PM2.5 - Brakewear Particulate** 0.80 273.84 **Primary PM2.5 - Tirewear Particulate** 0.25 85.37 **Sulfur Dioxide (SO2)** 0.54 185.13

**2011** Annual VMT: 14,383,526,419 Daily VMT: 42,044,841 Vehicle Population: 1,840,505
**Oxides of Nitrogen** 135.95 47,061.53 **Primary Exhaust PM2.5 - Total** 5.54 1,904.61 **Primary PM2.5 - Brakewear Particulate** 0.85 290.00 **Primary PM2.5 - Tirewear Particulate** 0.27 91.52 **Sulfur Dioxide (SO2)** 0.53 182.01

**2015** Annual VMT: 14,830,453,053 Daily VMT: 43,316,281 Vehicle Population: 1,900,111
**Oxides of Nitrogen** 89.45 31,064.21 **Primary Exhaust PM2.5 - Total** 3.57 1,227.86 **Primary PM2.5 - Brakewear Particulate** 0.82 280.25 **Primary PM2.5 - Tirewear Particulate** 0.26 90.54 **Sulfur Dioxide (SO2)** 0.53 182.69

**2018** Annual VMT: 15,513,701,656 Daily VMT: 45,314,292 Vehicle Population: 1,946,080
**Oxides of Nitrogen** 70.34 24,451.43 **Primary Exhaust PM2.5 - Total** 2.78 958.57 **Primary PM2.5 - Brakewear Particulate** 0.90 307.39 **Primary PM2.5 - Tirewear Particulate** 0.29 99.03 **Sulfur Dioxide (SO2)** 0.57 195.09

**2021** Annual VMT: 15,521,916,278 Daily VMT: 46,689,707 Vehicle Population: 1,993,161
**Oxides of Nitrogen** 55.50 18,911.05 **Primary Exhaust PM2.5 - Total** 2.10 705.30 **Primary PM2.5 - Brakewear Particulate** 0.96 320.17 **Primary PM2.5 - Tirewear Particulate** 0.31 102.89 **Sulfur Dioxide (SO2)** 0.60 199.14

17-Aug-10 Page 2 of 2 MOVES 2010 and OKI Travel Demand Model v7.6

## Table 2. Mobile Source Emissions by County for the Cincinnati PM2.5 Nonattainment Area (tons)

County Year Pollutant Name DailyEmissions AnnualEmissions 

## Indiana

Dearborn NA

2005 Annual VMT: 196,738,031 Daily VMT: 578,642 Vehicle Population: 24,915

O xides of Nitrogen 2.40 865.46
Primary Exhaust PM2.5 - Total 0.08 29.68
Primary PM2.5 - Brakewear Particulate 0.01 3.28
Primary PM2.5 - Tirewear Particulate 0.00 1.02 Sulfur Dioxide (SO2) 0.01 2.45

2008 Annual VMT: 199,778,078 Daily VMT: 587,583 Vehicle Population: 25,722

O xides of Nitrogen 2.09 748.81
Primary Exhaust PM2.5 - Total 0.07 24.72
Primary PM2.5 - Brakewear Particulate 0.01 3.94
Primary PM2.5 - Tirewear Particulate 0.00 1.23 Sulfur Dioxide (SO2) 0.01 2.69

2011 Annual VMT: 205,911,005 Daily VMT: 605,621 Vehicle Population: 26,135

O xides of Nitrogen 1.92 685.40
Primary Exhaust PM2.5 - Total 0.08 27.88
Primary PM2.5 - Brakewear Particulate 0.01 4.19
Primary PM2.5 - Tirewear Particulate 0.00 1.32 Sulfur Dioxide (SO2) 0.01 2.65

2015 Annual VMT: 223,644,622 Daily VMT: 657,779 Vehicle Population: 26,982

O xides of Nitrogen 1.31 482.33
Primary Exhaust PM2.5 - Total 0.05 19.43
Primary PM2.5 - Brakewear Particulate 0.01 4.32
Primary PM2.5 - Tirewear Particulate 0.00 1.39 Sulfur Dioxide (SO2) 0.01 2.87

2018 Annual VMT: 232,682,971 Daily VMT: 684,362 Vehicle Population: 27,635

O xides of Nitrogen 1.03 376.85
Primary Exhaust PM2.5 - Total 0.04 15.09
Primary PM2.5 - Brakewear Particulate 0.01 4.70
Primary PM2.5 - Tirewear Particulate 0.00 1.51 Sulfur Dioxide (SO2) 0.01 3.04

2021 Annual VMT: 240,321,759 Daily VMT: 706,829 Vehicle Population: 28,303

O xides of Nitrogen 0.81 297.95
Primary Exhaust PM2.5 - Total 0.03 11.44
Primary PM2.5 - Brakewear Particulate 0.01 5.05
Primary PM2.5 - Tirewear Particulate 0.00 1.62 Sulfur Dioxide (SO2) 0.01 3.19

17-Aug-10 Page 1 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions 

## Kentucky

Boone

2005 Annual VMT: 1,273,226,967 Daily VMT: 3,924,117 Vehicle Population: 129,823

O xides of Nitrogen 14.94 5,126.88
Primary Exhaust PM2.5 - Total 0.52 177.58
Primary PM2.5 - Brakewear Particulate 0.06 20.86
Primary PM2.5 - Tirewear Particulate 0.02 6.77 Sulfur Dioxide (SO2) 0.05 15.91

2008 Annual VMT: 1,350,001,539 Daily VMT: 4,076,584 Vehicle Population: 134,028

O xides of Nitrogen 14.73 5,067.94
Primary Exhaust PM2.5 - Total 0.64 219.29
Primary PM2.5 - Brakewear Particulate 0.07 24.42
Primary PM2.5 - Tirewear Particulate 0.02 8.14 Sulfur Dioxide (SO2) 0.05 16.71

2011 Annual VMT: 1,448,879,491 Daily VMT: 4,383,716 Vehicle Population: 136,181

O xides of Nitrogen 11.61 3,990.01
Primary Exhaust PM2.5 - Total 0.48 162.47
Primary PM2.5 - Brakewear Particulate 0.08 27.55
Primary PM2.5 - Tirewear Particulate 0.03 9.14 Sulfur Dioxide (SO2) 0.05 18.16

2015 Annual VMT: 1,628,041,282 Daily VMT: 4,950,741 Vehicle Population: 140,590

O xides of Nitrogen 8.11 2,788.45
Primary Exhaust PM2.5 - Total 0.32 108.49
Primary PM2.5 - Brakewear Particulate 0.09 32.17
Primary PM2.5 - Tirewear Particulate 0.03 10.69 Sulfur Dioxide (SO2) 0.06 20.67

2018 Annual VMT: 1,729,595,156 Daily VMT: 5,260,102 Vehicle Population: 143,991

O xides of Nitrogen 6.34 2,182.28
Primary Exhaust PM2.5 - Total 0.24 82.19
Primary PM2.5 - Brakewear Particulate 0.11 37.76
Primary PM2.5 - Tirewear Particulate 0.04 12.47 Sulfur Dioxide (SO2) 0.07 23.14

2021 Annual VMT: 1,800,571,684 Daily VMT: 5,478,224 Vehicle Population: 147,476

O xides of Nitrogen 5.14 1,772.72
Primary Exhaust PM2.5 - Total 0.18 60.19
Primary PM2.5 - Brakewear Particulate 0.12 40.56
Primary PM2.5 - Tirewear Particulate 0.04 13.30 Sulfur Dioxide (SO2) 0.07 24.37

17-Aug-10 Page 2 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions Campbell

2 005 Annual VMT: 741,790,595 Daily VMT: 2,286,217 Vehicle Population: 86,065

O xides of Nitrogen 8.87 3,041.21
Primary Exhaust PM2.5 - Total 0.31 104.22
Primary PM2.5 - Brakewear Particulate 0.04 12.14
Primary PM2.5 - Tirewear Particulate 0.01 3.94 Sulfur Dioxide (SO2) 0.03 9.30

2008 Annual VMT: 774,762,718 Daily VMT: 2,339,542 Vehicle Population: 88,853

O xides of Nitrogen 8.63 2,988.33
Primary Exhaust PM2.5 - Total 0.37 127.73
Primary PM2.5 - Brakewear Particulate 0.04 14.05
Primary PM2.5 - Tirewear Particulate 0.01 4.68 Sulfur Dioxide (SO2) 0.03 9.69

2011 Annual VMT: 800,372,692 Daily VMT: 2,421,600 Vehicle Population: 90,279

O xides of Nitrogen 6.61 2,287.81
Primary Exhaust PM2.5 - Total 0.27 91.36
Primary PM2.5 - Brakewear Particulate 0.04 15.26
Primary PM2.5 - Tirewear Particulate 0.01 5.06 Sulfur Dioxide (SO2) 0.03 10.15

2015 Annual VMT: 875,774,487 Daily VMT: 2,663,159 Vehicle Population: 93,204

O xides of Nitrogen 4.55 1,570.14
Primary Exhaust PM2.5 - Total 0.17 59.30
Primary PM2.5 - Brakewear Particulate 0.05 17.31
Primary PM2.5 - Tirewear Particulate 0.02 5.75 Sulfur Dioxide (SO2) 0.03 11.21

2018 Annual VMT: 911,300,097 Daily VMT: 2,771,476 Vehicle Population: 95,458

O xides of Nitrogen 3.52 1,216.21
Primary Exhaust PM2.5 - Total 0.13 44.14
Primary PM2.5 - Brakewear Particulate 0.06 19.90
Primary PM2.5 - Tirewear Particulate 0.02 6.57 Sulfur Dioxide (SO2) 0.04 12.28

2021 Annual VMT: 936,445,352 Daily VMT: 2,849,127 Vehicle Population: 97,768

O xides of Nitrogen 2.84 985.28
Primary Exhaust PM2.5 - Total 0.09 32.07
Primary PM2.5 - Brakewear Particulate 0.06 21.10
Primary PM2.5 - Tirewear Particulate 0.02 6.92 Sulfur Dioxide (SO2) 0.04 12.77

17-Aug-10 Page 3 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions

Kenton

2 005 Annual VMT: 1,274,091,641 Daily VMT: 3,927,743 Vehicle Population: 148,193

O xides of Nitrogen 15.29 5,328.44
Primary Exhaust PM2.5 - Total 0.53 184.43
Primary PM2.5 - Brakewear Particulate 0.06 21.04
Primary PM2.5 - Tirewear Particulate 0.02 6.82 Sulfur Dioxide (SO2) 0.05 16.24

2008 Annual VMT: 1,300,575,248 Daily VMT: 3,927,332 Vehicle Population: 152,992

O xides of Nitrogen 14.55 5,057.93
Primary Exhaust PM2.5 - Total 0.62 215.81
Primary PM2.5 - Brakewear Particulate 0.07 23.63
Primary PM2.5 - Tirewear Particulate 0.02 7.87 Sulfur Dioxide (SO2) 0.05 16.34

2011 Annual VMT: 1,338,544,003 Daily VMT: 4,049,886 Vehicle Population: 155,451

O xides of Nitrogen 11.11 3,863.70
Primary Exhaust PM2.5 - Total 0.45 153.90
Primary PM2.5 - Brakewear Particulate 0.07 25.57
Primary PM2.5 - Tirewear Particulate 0.02 8.48 Sulfur Dioxide (SO2) 0.05 17.05

2015 Annual VMT: 1,427,569,972 Daily VMT: 4,341,124 Vehicle Population: 160,484

O xides of Nitrogen 7.51 2,637.63
Primary Exhaust PM2.5 - Total 0.29 99.51
Primary PM2.5 - Brakewear Particulate 0.08 28.45
Primary PM2.5 - Tirewear Particulate 0.03 9.44 Sulfur Dioxide (SO2) 0.05 18.62

2018 Annual VMT: 1,522,308,182 Daily VMT: 4,629,694 Vehicle Population: 164,368

O xides of Nitrogen 5.93 2,082.32
Primary Exhaust PM2.5 - Total 0.22 75.82
Primary PM2.5 - Brakewear Particulate 0.10 33.49
Primary PM2.5 - Tirewear Particulate 0.03 11.04 Sulfur Dioxide (SO2) 0.06 20.86

2021 Annual VMT: 1,549,817,325 Daily VMT: 4,715,306 Vehicle Population: 168,343

O xides of Nitrogen 4.76 1,677.96
Primary Exhaust PM2.5 - Total 0.16 54.53
Primary PM2.5 - Brakewear Particulate 0.10 35.19
Primary PM2.5 - Tirewear Particulate 0.03 11.52 Sulfur Dioxide (SO2) 0.06 21.48

17-Aug-10 Page 4 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions 

## Ohio

Butler

2005 Annual VMT: 2,469,168,490 Daily VMT: 7,452,293 Vehicle Population: 401,759

O xides of Nitrogen 32.00 10,910.37
Primary Exhaust PM2.5 - Total 1.06 361.06
Primary PM2.5 - Brakewear Particulate 0.12 40.31
Primary PM2.5 - Tirewear Particulate 0.04 12.60 Sulfur Dioxide (SO2) 0.09 30.01

2008 Annual VMT: 2,598,061,793 Daily VMT: 7,745,693 Vehicle Population: 414,771

O xides of Nitrogen 28.56 9,803.70
Primary Exhaust PM2.5 - Total 0.91 311.45
Primary PM2.5 - Brakewear Particulate 0.15 50.45
Primary PM2.5 - Tirewear Particulate 0.05 15.74 Sulfur Dioxide (SO2) 0.10 34.25

2011 Annual VMT: 2,693,718,927 Daily VMT: 8,050,709 Vehicle Population: 421,434

O xides of Nitrogen 26.50 9,074.89
Primary Exhaust PM2.5 - Total 1.05 356.91
Primary PM2.5 - Brakewear Particulate 0.16 53.99
Primary PM2.5 - Tirewear Particulate 0.05 17.06 Sulfur Dioxide (SO2) 0.10 34.00

2015 Annual VMT: 2,792,190,918 Daily VMT: 8,361,495 Vehicle Population: 435,082

O xides of Nitrogen 17.64 6,064.61
Primary Exhaust PM2.5 - Total 0.68 231.78
Primary PM2.5 - Brakewear Particulate 0.16 52.42
Primary PM2.5 - Tirewear Particulate 0.05 16.96 Sulfur Dioxide (SO2) 0.10 34.28

2018 Annual VMT: 2,940,852,857 Daily VMT: 8,806,051 Vehicle Population: 445,608

O xides of Nitrogen 13.98 4,813.27
Primary Exhaust PM2.5 - Total 0.54 182.29
Primary PM2.5 - Brakewear Particulate 0.17 57.91
Primary PM2.5 - Tirewear Particulate 0.06 18.68 Sulfur Dioxide (SO2) 0.11 36.85

2021 Annual VMT: 2,966,040,396 Daily VMT: 9,150,040 Vehicle Population: 456,389

O xides of Nitrogen 11.13 3,757.91
Primary Exhaust PM2.5 - Total 0.41 135.39
Primary PM2.5 - Brakewear Particulate 0.19 60.81
Primary PM2.5 - Tirewear Particulate 0.06 19.56 Sulfur Dioxide (SO2) 0.12 37.90

17-Aug-10 Page 5 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions

Clermont

2 005 Annual VMT: 1,684,261,582 Daily VMT: 5,083,336 Vehicle Population: 232,380

O xides of Nitrogen 21.21 7,295.87
Primary Exhaust PM2.5 - Total 0.72 245.48
Primary PM2.5 - Brakewear Particulate 0.08 27.67
Primary PM2.5 - Tirewear Particulate 0.03 8.64 Sulfur Dioxide (SO2) 0.06 20.51

2008 Annual VMT: 1,765,146,867 Daily VMT: 5,262,494 Vehicle Population: 239,906

O xides of Nitrogen 18.81 6,516.40
Primary Exhaust PM2.5 - Total 0.61 211.40
Primary PM2.5 - Brakewear Particulate 0.10 34.46
Primary PM2.5 - Tirewear Particulate 0.03 10.74 Sulfur Dioxide (SO2) 0.07 23.32

2011 Annual VMT: 1,836,770,645 Daily VMT: 5,489,550 Vehicle Population: 243,760

O xides of Nitrogen 17.48 6,039.51
Primary Exhaust PM2.5 - Total 0.71 243.25
Primary PM2.5 - Brakewear Particulate 0.11 37.00
Primary PM2.5 - Tirewear Particulate 0.03 11.68 Sulfur Dioxide (SO2) 0.07 23.23

2015 Annual VMT: 1,899,319,930 Daily VMT: 5,687,704 Vehicle Population: 251,654

O xides of Nitrogen 11.54 3,993.63
Primary Exhaust PM2.5 - Total 0.46 156.92
Primary PM2.5 - Brakewear Particulate 0.11 35.82
Primary PM2.5 - Tirewear Particulate 0.03 11.58 Sulfur Dioxide (SO2) 0.07 23.34

2018 Annual VMT: 1,987,922,558 Daily VMT: 5,952,609 Vehicle Population: 257,742

O xides of Nitrogen 9.09 3,146.47
Primary Exhaust PM2.5 - Total 0.36 122.57
Primary PM2.5 - Brakewear Particulate 0.12 39.31
Primary PM2.5 - Tirewear Particulate 0.04 12.67 Sulfur Dioxide (SO2) 0.07 24.94

2021 Annual VMT: 2,005,373,961 Daily VMT: 6,186,447 Vehicle Population: 263,978

O xides of Nitrogen 7.22 2,449.31
Primary Exhaust PM2.5 - Total 0.27 90.84
Primary PM2.5 - Brakewear Particulate 0.12 41.28
Primary PM2.5 - Tirewear Particulate 0.04 13.27 Sulfur Dioxide (SO2) 0.08 25.66

17-Aug-10 Page 6 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions

Hamilton

2 005 Annual VMT: 7,241,536,812 Daily VMT: 21,859,473 Vehicle Population: 862,422

O xides of Nitrogen 89.30 31,127.09
Primary Exhaust PM2.5 - Total 3.06 1,064.67
Primary PM2.5 - Brakewear Particulate 0.35 119.94
Primary PM2.5 - Tirewear Particulate 0.11 37.41 Sulfur Dioxide (SO2) 0.26 88.85

2008 Annual VMT: 7,421,012,594 Daily VMT: 22,124,524 Vehicle Population: 890,352

O xides of Nitrogen 77.45 27,020.93
Primary Exhaust PM2.5 - Total 2.56 889.81
Primary PM2.5 - Brakewear Particulate 0.42 145.42
Primary PM2.5 - Tirewear Particulate 0.13 45.31 Sulfur Dioxide (SO2) 0.28 98.30

2011 Annual VMT: 7,503,619,525 Daily VMT: 22,426,043 Vehicle Population: 904,655

O xides of Nitrogen 70.18 24,435.59
Primary Exhaust PM2.5 - Total 2.88 997.06
Primary PM2.5 - Brakewear Particulate 0.44 151.73
Primary PM2.5 - Tirewear Particulate 0.14 47.86 Sulfur Dioxide (SO2) 0.28 95.30

2015 Annual VMT: 7,630,239,650 Daily VMT: 22,849,516 Vehicle Population: 933,953

O xides of Nitrogen 45.58 15,925.19
Primary Exhaust PM2.5 - Total 1.83 634.62
Primary PM2.5 - Brakewear Particulate 0.42 144.67
Primary PM2.5 - Tirewear Particulate 0.14 46.71 Sulfur Dioxide (SO2) 0.27 94.43

2018 Annual VMT: 7,891,625,119 Daily VMT: 23,630,577 Vehicle Population: 956,548

O xides of Nitrogen 35.51 12,422.37
Primary Exhaust PM2.5 - Total 1.41 490.62
Primary PM2.5 - Brakewear Particulate 0.45 156.90
Primary PM2.5 - Tirewear Particulate 0.15 50.52 Sulfur Dioxide (SO2) 0.29 99.78

2021 Annual VMT: 7,811,745,310 Daily VMT: 24,098,721 Vehicle Population: 979,689

O xides of Nitrogen 27.80 9,530.16
Primary Exhaust PM2.5 - Total 1.06 357.87
Primary PM2.5 - Brakewear Particulate 0.48 161.69
Primary PM2.5 - Tirewear Particulate 0.15 51.92 Sulfur Dioxide (SO2) 0.30 100.82

17-Aug-10 Page 7 of 8 MOVES 2010 and OKI Travel Demand Model v7.6County Year Pollutant Name DailyEmissions AnnualEmissions

Warren

2 005 Annual VMT: 1,949,619,088 Daily VMT: 5,884,222 Vehicle Population: 233,106

O xides of Nitrogen 23.98 8,224.57
Primary Exhaust PM2.5 - Total 0.82 278.74
Primary PM2.5 - Brakewear Particulate 0.09 32.00
Primary PM2.5 - Tirewear Particulate 0.03 10.00 Sulfur Dioxide (SO2) 0.07 23.54

2008 Annual VMT: 2,031,755,542 Daily VMT: 6,057,344 Vehicle Population: 240,655

O xides of Nitrogen 21.11 7,267.18
Primary Exhaust PM2.5 - Total 0.69 237.65
Primary PM2.5 - Brakewear Particulate 0.12 39.57
Primary PM2.5 - Tirewear Particulate 0.04 12.34 Sulfur Dioxide (SO2) 0.08 26.57

2011 Annual VMT: 2,143,506,318 Daily VMT: 6,406,290 Vehicle Population: 244,521

O xides of Nitrogen 19.88 6,826.15
Primary Exhaust PM2.5 - Total 0.82 279.53
Primary PM2.5 - Brakewear Particulate 0.13 43.09
Primary PM2.5 - Tirewear Particulate 0.04 13.60 Sulfur Dioxide (SO2) 0.08 26.83

2015 Annual VMT: 2,285,057,933 Daily VMT: 6,842,835 Vehicle Population: 252,440

O xides of Nitrogen 13.37 4,598.44
Primary Exhaust PM2.5 - Total 0.54 185.12
Primary PM2.5 - Brakewear Particulate 0.13 43.02
Primary PM2.5 - Tirewear Particulate 0.04 13.91 Sulfur Dioxide (SO2) 0.08 27.77

2018 Annual VMT: 2,460,618,151 Daily VMT: 7,368,042 Vehicle Population: 258,547

O xides of Nitrogen 10.73 3,692.47
Primary Exhaust PM2.5 - Total 0.43 148.00
Primary PM2.5 - Brakewear Particulate 0.14 48.57
Primary PM2.5 - Tirewear Particulate 0.05 15.66 Sulfur Dioxide (SO2) 0.09 30.49

2021 Annual VMT: 2,498,434,852 Daily VMT: 7,707,508 Vehicle Population: 264,802

O xides of Nitrogen 8.54 2,875.72
Primary Exhaust PM2.5 - Total 0.33 109.76
Primary PM2.5 - Brakewear Particulate 0.16 51.34
Primary PM2.5 - Tirewear Particulate 0.05 16.51 Sulfur Dioxide (SO2) 0.10 31.58

17-Aug-10 Page 8 of 8 MOVES 2010 and OKI Travel Demand Model v7.6

### Mobile Source Emission Forecast Process

Emission Factor Model

OKI’s conformity assessment utilized U.S.EPA’s emis sions model MOVES 2010 to develop emission factors for SO2, NO X 

### and PM2.5. Table 3 summarizes the settings used i n the MOVES run specification file. Table 4 lists the data used in the MOVES Cou nty-Data Manager. Further details on the use of MOVES are found in the Appendix.

Table 3.

MOVES Runspec [sic] Parameter Settings MOVES Version 2009/12/21, MOVES default database 2010615111524 Scale County, Emission Rates Time Span Time aggregation = Hour 1 month representing average annual temperatures All hours of day selected Weekdays only Geographic Bounds 2 Custom Domains

– 4 Ohio counties, 3 Kentucky counties Vehicles/Equipment All source types, gasoline and diesel Road Type All road types including off

- network Pollutants and Processes NO x 

### , All PM2.5 categories, SO 2 

### , Total Energy Consumption Strategies none General Output Units= grams, joules and miles Output Emissions Time = hour, Location =county, on

- road emission rates by road type and source use type. Advanced Performance none

Table 4

County Data Manager Data Source Source Type Population Local and default. Local data (2010) from KYTC an d ODOT from motor vehicle registration data. Default data used for source types 41, 61 and 62. In addition , default data for sour ce types 31, 32 and 54 used for KY. Vehicle Type VMT Local and defa ult. HPMSVTypeYear VMT=daily VMT from OKI travel demand model with EPA’s daily to annual VMT convert er applied. monthVMTFraction = default. dayVMTFraction=default, hourVMTFraction=local. I/M Programs Default modified to reflect discontinued I/M progra m Fuel Formulation Default

### Fuel Supply Default

Meteorology Data Local. Kentucky Division for Air Quality. Ramp Fraction Local. Ramp emissions calculated outside of MOVES Road Type Distribution Local. OKI travel demand model. Age Distribution Local and default. Local data (2010) from KYTC an d ODOT from motor vehicle registration data. Default data used for source types 41, 61 and 62. In addition , default data for sour ce types 31, 32 and 54 used for KY. Average Speed Distribution Loca l. OKI travel demand model.

OKI Travel Demand Model

Transportation system performance was estimated usi ng the OKI Travel Demand Model Version 7.6. The OKI Travel Demand Model is composed of TRANPLAN programs, CUBE Voyager programs and a series of FORTRAN programs written by OKI. It is a state of the practice model that uses the standard 4 phase sequential modeling approach of trip generati on, distribution, modal choice and assignment. The model uses demographic and land use data and capaci ty and free-flow speed characteristics for each roadway segment in the network to produce a “loaded ” highway network with forecasted traffic volumes with revised speeds based on specified spee d/capacity relationships.

Travel analysis zones are the basic geographic unit for estimating travel in the OKI model. The OKI re gion is subdivided into 1608 traffic analysis zones to p ermit detail as well as manageability. A variety o f socioeconomic data items are used in the OKI transp ortation planning process. These data are used primarily to forecast future travel patterns by ser ving as independent variables in OKI trip generatio n equations. The following categories of planning dat a are utilized:

• Population (household and group quarter)

• Households

• Household vehicles

• Employment (by employment category and zone of work )

• Labor force participation (by zone of residence)

• Area type The principal data requirements of the OKI travel d emand forecasting model are population and employment. From these variables, other characteris tics including households, labor force, and persona l vehicles may be derived. Chapter 5 of OKI 2030 Regional Transportation Plan 2008 Update provides a complete demographic overview of the region.

OKI utilizes both base year (2005) and future year data (2010, 2020 and 2030) in the planning process. Planning data are maintained at the Traffic Analysi s Zone (TAZ) level, and originate in the 2000 Census of Population and Housing. Base year 2005 and future y ear data for each variable are developed through various methods. More detailed explanation of base year and future year data generation for each of the above-mentioned categories of planning data fol lows. All of the variables represent the latest OK I planning assumptions.

### Population

Base and Future Year Data: Population data for bas e year 2005 and future years 2010, 2020 and 2030 originate with the 2000 Census of Population and Ho using. Utilizing ArcView GIS, population data at th e zonal level for 2000 was derived from the area prop ortion allocation of block level population.

As a tri-state regional planning agency, OKI uses c ounty level projections as prepared by the respecti ve state data centers (Ohio Department of Development Office of Strategic Research, Kentucky State Data Center and Indiana Business Research Center) as con trol totals. The most current projections (years 2005 to 2030) were released by the Ohio and Indiana state data centers in 2003 and the Kentucky State Data Center in 2004. Population projections at the zonal level are calculated by multiplying household size by the projected zonal households. Household s ize is factored so that, in each county, the sum of the zonal populations equals the control total.



### Households Base Year Data: Household data for base year 2005 originates with the 2000 Census of Population and Housing. Utilizing the geographic information syste m ArcMap, household data at the zonal level for 200 0 was derived from the area proportion allocation of block level households. Year 2000 household data was updated to 2005 with residential building permi ts issued between January 2000 and December 2004. The residential building locations were geoco ded in ArcMap, then aggregated to the TAZs. The housing unit totals for each TAZ were converted to h ouseholds by applying a vacancy rate, an adjustment for permitted but unbuilt units, and sub tracting demolitions (where data was available). These households were then added to the year Census 2000 zonal household total to arrive at 2005
households for each TAZ.

Future Year Data: The preparation of household proj ections was accomplished by calculating the number of households for a projected county populat ion using ratios of householders to total population by age specific cohorts derived from the 2000 Census for each analysis year. Disaggregation to TAZs was determined by historical trends, existin g and future land use, topography, flood plain information, availability of land, local knowledge and other factors.



### Household Vehicles Base and Future Year Data: Base and future year ho usehold vehicle data were obtained from the 2000 Census of Population and Housing. The 2000 Census i s the only source of household vehicle data available at the block group level. Average vehicle s per household were calculated for block groups th en applied to the TAZs associated with each block group . The 2005, 2010, 2020 and 2030 vehicles per
household level was held at the 2000 level based on the fact that, since 2002, the number of vehicles per household has exceeded the number of drivers pe r household.



### Labor Force Base and Future Year Data: The OKI labor force is a function of the population as determined by a lab or force participation ratio (the number of employed p ersons in the labor force per persons 16 and over). Household data for base year 2005 originates with t he 2000 Census of Population and Housing. Utilizing

### the geographic information system ArcMap, household data at the zonal level for 2000 was derived

from the area proportion allocation of block group level employed labor force. The labor force projections for 2005, 2010, 2020 and 2030 were base d on the most recent projections of national labor force participation rates by age and sex cohorts fr om the U.S. Department of Labor, Bureau of Labor Statistics for each of those years. These rates wer e then applied to the projected county age/sex coho rts and adjusted to eliminate the unemployed to arrive at a county employed labor force control total. Employed labor force at the zonal level is calculat ed by multiplying the labor force participation rat e by the zonal population. The labor force participation rate is adjusted so that, in each county, the sum of the zonal labor force counts equals the control tot al.



### Employment Base Year Data: Quarterly Census of Employment and Wages (QCEW or ES202) data for 2005 was utilized as the primary tool to calculate employmen t at the zonal level. Individual business records containing physical location, number of employees a nd SIC code were geocoded through ArcMap and aggregated to the TAZ level. This data set was suppl emented by other sources of data to complete the commuting employment picture in the OKI region. Eac h zone’s employment was divided according to the SIC code into three classes (retail, office, in dustrial) based upon the potential for generating t rips.

Future Year Data: For future year employment proje ction, calculation was first made of the employment at the regional level. At the regional l evel, employment is a calculation of the region’s employed labor force minus workers who live in the region but commute out to work, plus workers who live outside the region but commute in to work. The regional total was disaggregated first to the coun ty level based on historic trends and expected changes in the county’s share of the region’s employment and then to the TAZ level. Disaggregation to TAZs was determined by historical trends, existing and future land use, topography, flood plain informatio n, availability of land, local knowledge and other
factors.



### Area Type Base and Future Year Data: For each analysis year, each TAZ is assigned an area type designation as CBD, Urban, Suburban or Rural based on population a nd employment densities.

Model Calibration

OKI’s Travel Demand Model has been validated to obs erved traffic volumes for the model base year 2005. The modeling network encompasses the entire ozone nonattainment area with the exception of Clinton County, Ohio. The modeling network also in cludes Greene, Miami and Montgomery counties in Ohio and the remainder of Dearborn County Indiana. The difference between estimated vehicle miles traveled (VMT) and 2005 observed VMT is less than 1 %. A highway screenline analysis compares the screenline observed and simulated traffic volume di screpancies with the ODOT standard of maximum desirable deviation. The comparison shows that the model performs at a satisfactory level and all the errors were under the ODOT curve. Further informat ion can be found in OKI’s 2007 report, “ OKI/MVRPC Travel Demand Model Methodology/ Validation Report ”. For the calibration, OKI used over 3000 traffic counts collected through 2006 by the Ohio Departmen t of Transportation (ODOT), the Kentucky

### Transportation Cabinet, many county and local gover nments, transportation engineering consultants,

and OKI. These traffic counts cover nearly 50% per cent of the links in the OKI portion of the modelin g network. The methodology provides consistency with past emission inventory and conformity analysis work performed by OKI.

Local Inputs and Post-Model Processing

OKI incorporates a variety of sources of local data to both improve and confirm the accuracy of VMT, a s well as other travel-related parameters. Free flow speeds used on the highway and transit networks ar e based on travel time studies performed locally. Th e OKI post-processing program, IMPACT, uses the loaded highway network to generate VMT by hour, VMT by speed distribution and VMT by facility type. These tables are then included as input into MOVES. Two separate sets of VMT tables are generated: one for the four Ohio counties plus Dearborn County Indiana, and a second for the three Kentucky counties. The VMT by hour tables utilize hourly tr affic distribution and directional split factors fo r different roadway types as developed by OKI. The ma in source of the data was the permanent traffic counting stations located throughout the OKI region for the years of 1998-2002. This data was supplemented with data collected at coverage count stations (locations with counts taken on only onetwo days). The stations were classified by area ty pe: urban and rural, and functional classification: freeway, arterial and collector. Speeds representin g various “loaded” conditions (with traffic volumes ) are estimated using techniques from the 1997 Highwa y Capacity Manual. This permits the estimation of speeds as conditions vary from hour to hour on the different facility types throughout the region. Th e IMPACT program performs the appropriate summation b y area and roadway type as well as regional totals. OKI has also developed seasonal conversion factors to adjust traffic volumes to summer conditions. The factors were derived from local da ta collected at permanent traffic counting stations during 1994-1997 utilizing the average daily traffi c monthly conversion factors for June, July and Aug ust. Further information on OKI’s IMPACT program is docu mented in the report, “Travel Demand Model Summary Reporting and Impact Summary Reporting: OKI /MVRPC Travel Demand Model User’s Guide”,

OKI 2003.

# 11 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



# APPENDIX

OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source

Emissions August 2010

# 12 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 1. Using MOVES

To determine specific emission profiles and invento ry, user has to define the input data like area, time span, type of vehicles, road types, fuel types, emission producing processes etc. These data are stored in an XML file which is calle d Runspec [sic]. Using graphical user interface user can modify all these attributes of Runspec [si c]. In the following sections, how input data is entered and modified is explained. All these input options are found in the navigation panel of Graphical User Interface of MOVES software.


## 1.1 Description

This input tells about the specifications of the Ru nspec [sic] and it is useful to distinguish between the Runspecs [sic]. We can also explain the brief overview of the particular Runspec [sic]. In all of our current Runspecs [sic], we hav e details such as analysis years, area and pollutants analyzed.



## 1.2 Scale

In this option, we need to specify about the Domai n/Scale and Calculation type. The Domain specifies the level of default data we need to use for analysis and also the scale of the analysis. We have considered the County scale for Ohio Custom Domain and the calculation type we have used is “Emission Rates”.


## 1.3 Time Spans

This input panel has different time-related input d ata like time aggregation level, year of analysis, month of analysis, whether analysis day i s Weekday or Weekend, and hours of analysis. In all of our runs, time aggregation leve l is considered as hour, which is the most disaggregated level possible in MOVES and it is als o specified in the technical guidance† for all SIP runs. We have used different years of analysis (i.e. 2005, 2008, 2011, 2015, 2018, and 2021). We have used two different months, July and April. Ozone season daily analysis is done using July temperatures. Annual analysis uses one 24-hou r set of average annual temperatures. The annual average minimum temperature, maximum tempera ture and humidity values for each hour were calculated and assigned the April month I D.


## 1.4 Geographic Bounds

In this input type, we need to specify about region of analysis (eg. Nation, State, Custom Domain). We have created a separate input database through combining four Ohio counties namely, Hamilton, Butler, Clermont and Warren. Upon selecting the custom domain, MOVES will consider this region as separate Generic Count y. The state ID is fixed as 99 and we have assigned an arbitrary CountyID 390 for Ohio to dist inguish between default county codes. User also need to provide a fraction geographic phase in area, in this case we do not have any phase

# 13 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### in area fraction and we also provided average barom etric pressure to identify whether it is low altitude area or high altitude area (the barometric pressures are averages of all constituent counties). Since we do not have I/M program in the region the refueling program adjustment fraction and refueling spill program adjustment fra ctions are assigned as 0.00. In this input panel we also need to specify the Domain Input Data bases. For all of our runs we have defined different input databases for each year.


## 1.5 Vehicles/Equipment

In MOVES [sic], user also needs to provide the diff erent type of vehicles considered for analysis in the region. MOVES [sic] provide us with 13 diffe rent types of vehicles or equipment and four different fuel types and we need to select appropri ate fuel and vehicle combinations. In MOVES [sic] vehicle types are called SourceUseTypes [sic] . We have considered all possible types of fuel/vehicle type combinations.


## 1.6 Road Type

Next input panel is about type of roadways in the r egion. There are five types of road types available in MOVES, since OKI travel demand model c ould not predict the VMT in parking lots (off network) only four road types are considered. These road types are relatively simple and are based on area type, whether it is urban or rura l. All expressways and freeways are considered as restricted roadways and all other roa d types are considered as unrestricted roadways.



## 1.7 Pollutants and Processes

There are different pollutants and corresponding pr ocesses are available in MOVES. A separate panel is available for selecting different pollutan ts and processes. In these particular set of runs, total PM2.5 emissions are selected with an addition of sulfur dioxide. To perform calculation of PM2.5 it is also required to select Total energy co nsumption. In addition to PM2.5, Oxides of Nitrogen are also selected.



## 1.8 Miscellaneous

Further, if we have information about future or pre sent Alternative Vehicle Fuels & Technologies, on-road retrofit and rate of progress information that can be given as input to the Runspec [sic]. If we do not specify future Alte rnative Vehicle Fuel & Technologies, MOVES [sic] is going to assume default alternative fuels. So, we have modified default AVFT through importing new AVFT strategy file which includes the re would not be any change in transit bus fuels. MOVES [sic] also provide us the options whe ther we would like to save the MOVESactivityoutput [sic] and MOVESOutput [sic] dat abases or not.

# 14 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 1 : Alternative Vehicle and Fueling Technolog y used in all Runspecs [sic]

sourceTypeID modelYearID fuelTypeID engTechID fuelEngFraction

42 1960 2 1 1 42 1961 2 1 1 42 1962 2 1 1 42 1963 2 1 1 42 1964 2 1 1 42 1965 2 1 1 42 1966 2 1 1 42 1967 2 1 1 42 1968 2 1 1 42 1969 2 1 1 42 1970 2 1 1 42 1971 2 1 1 42 1972 2 1 1 42 1973 2 1 1 42 1974 2 1 1 42 1975 2 1 1 42 1976 2 1 1 42 1977 2 1 1 42 1978 2 1 1 42 1979 2 1 1 42 1980 2 1 1 42 1981 2 1 1 42 1982 2 1 1 42 1983 2 1 1 42 1984 2 1 1 42 1985 2 1 1 42 1986 2 1 1 42 1987 2 1 1 42 1988 2 1 1 42 1989 2 1 1 42 1990 2 1 1 42 1991 2 1 1 42 1992 2 1 1 42 1993 2 1 1 42 1994 2 1 1 42 1995 2 1 1 42 1996 2 1 1 42 1997 2 1 1 42 1998 2 1 1 42 1999 2 1 1 42 2000 2 1 1 42 2001 2 1 1 42 2002 2 1 1 42 2003 2 1 1 42 2004 2 1 1 42 2005 2 1 1

# 15 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

42 2006 2 1 1 42 2007 2 1 1 42 2008 2 1 1 42 2009 2 1 1 42 2010 2 1 1 42 2011 2 1 1 42 2012 2 1 1 42 2013 2 1 1 42 2014 2 1 1 42 2015 2 1 1 42 2016 2 1 1 42 2017 2 1 1 42 2018 2 1 1 42 2019 2 1 1 42 2020 2 1 1 42 2021 2 1 1 42 2022 2 1 1 42 2023 2 1 1 42 2024 2 1 1 42 2025 2 1 1 42 2026 2 1 1 42 2027 2 1 1 42 2028 2 1 1 42 2029 2 1 1 42 2030 2 1 1 42 2031 2 1 1 42 2032 2 1 1 42 2033 2 1 1 42 2034 2 1 1 42 2035 2 1 1 42 2036 2 1 1 42 2037 2 1 1 42 2038 2 1 1 42 2039 2 1 1 42 2040 2 1 1 42 2041 2 1 1 42 2042 2 1 1 42 2043 2 1 1 42 2044 2 1 1 42 2045 2 1 1 42 2046 2 1 1 42 2047 2 1 1 42 2048 2 1 1 42 2049 2 1 1 42 2050 2 1 1

# 16 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 1.9 Output

In MOVES we need to specify the output database an d need to create new database for each new Runspec [sic]. We also have options like specif ying the units for emission rates and energy consumption. These options are available in the Gen eral Output panel. There is one more option available within the output which is called output emissions detail, which provides user different options for data aggregation.



## 2. Data Importers

In order to enter local data into Runspec [sic], we need to use pre processing option in the MOVES. We can select either Data Importer or County Importer for Custom Domain option. These Importers convert the data in excel format to MySQL tables. This is the preferred input format of MOVES software.



## 2.1 Meteorology Data Importer

In this type of Importer, meteorology data is impor ted a MOVES input format. This dataset has different data items like month ID, Zone ID, hour I D, Temperature and Relative Humidity. For OKI region and Ohio portion runs we have used tempe rature data obtained from the Kentucky Division for Air Quality (KDAQ). Even though ODOT has provided the temperature data (collected from local airports), KDAQ data appeared to be more applicable. In the data set, April Meteorology data is replaced with annual average te mperatures and relative humidity.

Table 2 : Meteorology data obtained from KDAQ

monthID zoneID hourID temperature relHumidity

4 993900 1 47.5 72.9 4 993900 2 46.4 75.8 4 993900 3 45.5 77.9 4 993900 4 44.8 79.4 4 993900 5 44.3 80.7 4 993900 6 43.7 82.1 4 993900 7 43.2 83.3 4 993900 8 43.6 82.3 4 993900 9 46.1 76.4 4 993900 10 50.1 67.0 4 993900 11 54.2 57.8 4 993900 12 57.7 50.9 4 993900 13 60.8 45.7 4 993900 14 62.5 43.1

# 17 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

4 993900 15 63.1 42.2 4 993900 16 63.2 42.0 4 993900 17 62.8 42.6 4 993900 18 61.7 44.3 4 993900 19 59.7 47.6 4 993900 20 57.1 52.2 4 993900 21 54.5 57.2 4 993900 22 52.2 62.1 4 993900 23 50.6 65.9 4 993900 24 49.1 69.4 7 993900 1 69.3 69.5
7 993900 2 68.1 72.4 7 993900 3 67.1 74.8 7 993900 4 66.4 76.6 7 993900 5 65.9 78
7 993900 6 65.3 79.7 7 993900 7 64.8 81.1 7 993900 8 65.2 79.9 7 993900 9 67.8 73.1
7 993900 10 72 63.4 7 993900 11 76.2 55 7 993900 12 79.8 48.8 7 993900 13 83 44
7 993900 14 84.7 41.6 7 993900 15 85.3 40.8 7 993900 16 85.5 40.6 7 993900 17 85.1 41.2
7 993900 18 83.9 42.8 7 993900 19 81.8 45.8 7 993900 20 79.1 49.9 7 993900 21 76.4 54.6
7 993900 22 74.1 59 7 993900 23 72.5 62.3 7 993900 24 70.8 65.9



## 2.2 Source Type Population Importer

This importer imports vehicle type, and registered vehicle population in the region into MOVES input databases. ODOT has provided us with the regi stered vehicle population in each county in the region for 13 MOVES vehicle types. KYTC has pro vided registered vehicle population by county for 6 HPMS vehicle types. The KYTC data was converted to the 13 MOVES vehicle types based on the Ohio distribution. Same vehicle popul ation was used for all analysis years. As per suggestions made by FHWA and KYTC, the Source Type Population has been forecasted for future years with +0.8 % per year. Similarly, the S ource Type Populations has been estimated for past years. The MOVES default source type popu lation for intercity bus, refuse trucks, motor homes and combination trucks was used. In ad dition, MOVES default source type

# 18 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### population for passenger trucks and light commercia l trucks was used for Kentucky. The MOVES default source type population was acquired f rom the MOVES activity output tables from county-level inventory runs.

Table3 : Source Type Population for Ohio Custom Dom ain (2008)

yearID sourceTypeID sourceTypePopulation

2008 11 68559 2008 21 1191067 2008 31 482420 2008 32 15817 2008 41 454 2008 42 81 2008 43 3651 2008 51 409 2008 52 366 2008 53 361 2008 54 4888 2008 61 4839 2008 62 5548



### Table 4: Kentucky Source Type population (acquired from KYTC)

yearID sourceTypeID sourceTypePopulation

2008 11 7975 2008 21 197009 2008 31 120518 2008 32 40263 2008 41 127 2008 42 21 2008 43 977 2008 51 115 2008 52 761 2008 53 751 2008 54 1379 2008 61 1580 2008 62 1811



## 2.3 Age Distribution Importer

For emission calculation the MOVES need vehicle Age Distribution by Source Type. Vehicle Age Distribution is divided into 30 years based on vehi cle model years. For each vehicle type, the distribution sum adds up to one. ODOT has obtained vehicle registration data from the Bureau of Motor Vehicles for all the counties in Ohio and processed them to convert into MOVES Age Distribution for 13 vehicle types. We have used the same Age Distribution for all year runs. All

# 19 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### the vehicles older than 30 years are considered as 30-years old. Same age distribution is used for all analysis years. KYTC also provided similar information, but for the 6 HPMS types only. For Kentucky, identical age distributions are used within each HPMS vehicle type.

Table 5 : Ohio Custom Domain Age distribution

Source TypeID yearID ageID ageFraction

11 2008 0 0.0019 11 2008 1 0.0191 11 2008 2 0.0531 11 2008 3 0.0688 11 2008 4 0.0773 11 2008 5 0.0737 11 2008 6 0.0611 11 2008 7 0.0780 11 2008 8 0.0636 11 2008 9 0.0537 11 2008 10 0.0435 11 2008 11 0.0359 11 2008 12 0.0282 11 2008 13 0.0230 11 2008 14 0.0220 11 2008 15 0.0183 11 2008 16 0.0160 11 2008 17 0.0146 11 2008 18 0.0097 11 2008 19 0.0080 11 2008 20 0.0072 11 2008 21 0.0086 11 2008 22 0.0084 11 2008 23 0.0121 11 2008 24 0.0171 11 2008 25 0.0179 11 2008 26 0.0137 11 2008 27 0.0171 11 2008 28 0.0249 11 2008 29 0.0172 11 2008 30 0.0862 21 2008 0 0.0121 21 2008 1 0.0331 21 2008 2 0.0440 21 2008 3 0.0528 21 2008 4 0.0534 21 2008 5 0.0566 21 2008 6 0.0570 21 2008 7 0.0592 21 2008 8 0.0591 21 2008 9 0.0542 21 2008 10 0.0590 21 2008 11 0.0568 21 2008 12 0.0507 21 2008 13 0.0499 21 2008 14 0.0438 21 2008 15 0.0453 21 2008 16 0.0368 21 2008 17 0.0308 21 2008 18 0.0261 21 2008 19 0.0207 21 2008 20 0.0165 21 2008 21 0.0132 21 2008 22 0.0095 21 2008 23 0.0073 21 2008 24 0.0059 21 2008 25 0.0043 21 2008 26 0.0033 21 2008 27 0.0017 21 2008 28 0.0011 21 2008 29 0.0010 21 2008 30 0.0346 31 2008 0 0.0103 31 2008 1 0.0279 31 2008 2 0.0502 31 2008 3 0.0570 31 2008 4 0.0659 31 2008 5 0.0806 31 2008 6 0.0796 31 2008 7 0.0733 31 2008 8 0.0727 31 2008 9 0.0599 31 2008 10 0.0625 31 2008 11 0.0603 31 2008 12 0.0516 31 2008 13 0.0432 31 2008 14 0.0380 31 2008 15 0.0386 31 2008 16 0.0302 31 2008 17 0.0260 31 2008 18 0.0165 31 2008 19 0.0125 31 2008 20 0.0093

# 20 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

31 2008 21 0.0084 31 2008 22 0.0067 31 2008 23 0.0051 31 2008 24 0.0037 31 2008 25 0.0025 31 2008 26 0.0017 31 2008 27 0.0009 31 2008 28 0.0004 31 2008 29 0.0002 31 2008 30 0.0041 32 2008 0 0.0178 32 2008 1 0.0459 32 2008 2 0.0871 32 2008 3 0.0699 32 2008 4 0.0707 32 2008 5 0.0357 32 2008 6 0.0355 32 2008 7 0.0369 32 2008 8 0.0366 32 2008 9 0.0407 32 2008 10 0.0491 32 2008 11 0.0547 32 2008 12 0.0427 32 2008 13 0.0413 32 2008 14 0.0383 32 2008 15 0.0602 32 2008 16 0.0476 32 2008 17 0.0381 32 2008 18 0.0304 32 2008 19 0.0181 32 2008 20 0.0212 32 2008 21 0.0184 32 2008 22 0.0135 32 2008 23 0.0134 32 2008 24 0.0095 32 2008 25 0.0070 32 2008 26 0.0054 32 2008 27 0.0021 32 2008 28 0.0014 32 2008 29 0.0008 32 2008 30 0.0100 41 2008 0 0.0000 41 2008 1 0.0309 41 2008 2 0.0884 41 2008 3 0.0890 41 2008 4 0.0768 41 2008 5 0.0746 41 2008 6 0.0967 41 2008 7 0.0635 41 2008 8 0.0486 41 2008 9 0.0801 41 2008 10 0.0751 41 2008 11 0.0624 41 2008 12 0.0254 41 2008 13 0.0271 41 2008 14 0.0188 41 2008 15 0.0193 41 2008 16 0.0133 41 2008 17 0.0177 41 2008 18 0.0094 41 2008 19 0.0177 41 2008 20 0.0171 41 2008 21 0.0099 41 2008 22 0.0039 41 2008 23 0.0055 41 2008 24 0.0061 41 2008 25 0.0011 41 2008 26 0.0033 41 2008 27 0.0033 41 2008 28 0.0028 41 2008 29 0.0017 41 2008 30 0.0105 42 2008 0 0.0000 42 2008 1 0.0366 42 2008 2 0.1098 42 2008 3 0.0366 42 2008 4 0.1585 42 2008 5 0.0366 42 2008 6 0.0610 42 2008 7 0.0610 42 2008 8 0.0244 42 2008 9 0.1098 42 2008 10 0.0366 42 2008 11 0.0976 42 2008 12 0.0366 42 2008 13 0.0244 42 2008 14 0.0244 42 2008 15 0.0122 42 2008 16 0.0244 42 2008 17 0.0244 42 2008 18 0.0366 42 2008 19 0.0000 42 2008 20 0.0000 42 2008 21 0.0122 42 2008 22 0.0000 42 2008 23 0.0000 42 2008 24 0.0000 42 2008 25 0.0000

# 21 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

42 2008 26 0.0122 42 2008 27 0.0000 42 2008 28 0.0000 42 2008 29 0.0122 42 2008 30 0.0122 43 2008 0 0.0905 43 2008 1 0.0302 43 2008 2 0.0549 43 2008 3 0.0467 43 2008 4 0.0592 43 2008 5 0.0723 43 2008 6 0.0481 43 2008 7 0.0334 43 2008 8 0.0668 43 2008 9 0.0647 43 2008 10 0.0842 43 2008 11 0.0864 43 2008 12 0.0473 43 2008 13 0.0500 43 2008 14 0.0242 43 2008 15 0.0185 43 2008 16 0.0106 43 2008 17 0.0228 43 2008 18 0.0109 43 2008 19 0.0130 43 2008 20 0.0125 43 2008 21 0.0092 43 2008 22 0.0062 43 2008 23 0.0079 43 2008 24 0.0090 43 2008 25 0.0035 43 2008 26 0.0030 43 2008 27 0.0011 43 2008 28 0.0027 43 2008 29 0.0016 43 2008 30 0.0087 51 2008 0 0.0054 51 2008 1 0.0488 51 2008 2 0.0623 51 2008 3 0.0705 51 2008 4 0.0867 51 2008 5 0.0434 51 2008 6 0.0434 51 2008 7 0.0542 51 2008 8 0.0542 51 2008 9 0.0759 51 2008 10 0.0217 51 2008 11 0.0407 51 2008 12 0.0786 51 2008 13 0.0542 51 2008 14 0.0515 51 2008 15 0.0678 51 2008 16 0.0325 51 2008 17 0.0081 51 2008 18 0.0163 51 2008 19 0.0027 51 2008 20 0.0081 51 2008 21 0.0000 51 2008 22 0.0027 51 2008 23 0.0027 51 2008 24 0.0136 51 2008 25 0.0000 51 2008 26 0.0000 51 2008 27 0.0000 51 2008 28 0.0027 51 2008 29 0.0000 51 2008 30 0.0515 52 2008 0 0.0054 52 2008 1 0.0488 52 2008 2 0.0623 52 2008 3 0.0705 52 2008 4 0.0867 52 2008 5 0.0434 52 2008 6 0.0434 52 2008 7 0.0542 52 2008 8 0.0542 52 2008 9 0.0759 52 2008 10 0.0217 52 2008 11 0.0407 52 2008 12 0.0786 52 2008 13 0.0542 52 2008 14 0.0515 52 2008 15 0.0678 52 2008 16 0.0325 52 2008 17 0.0081 52 2008 18 0.0163 52 2008 19 0.0027 52 2008 20 0.0081 52 2008 21 0.0000 52 2008 22 0.0027 52 2008 23 0.0027 52 2008 24 0.0136 52 2008 25 0.0000 52 2008 26 0.0000 52 2008 27 0.0000 52 2008 28 0.0027 52 2008 29 0.0000 52 2008 30 0.0515

# 22 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

53 2008 0 0.0000 53 2008 1 0.0062 53 2008 2 0.0373 53 2008 3 0.0093 53 2008 4 0.0280 53 2008 5 0.0342 53 2008 6 0.0186 53 2008 7 0.0186 53 2008 8 0.0124 53 2008 9 0.0155 53 2008 10 0.0217 53 2008 11 0.0373 53 2008 12 0.0093 53 2008 13 0.0311 53 2008 14 0.0217 53 2008 15 0.0373 53 2008 16 0.0217 53 2008 17 0.0342 53 2008 18 0.0124 53 2008 19 0.0186 53 2008 20 0.0248 53 2008 21 0.0373 53 2008 22 0.0186 53 2008 23 0.0248 53 2008 24 0.0062 53 2008 25 0.0373 53 2008 26 0.0155 53 2008 27 0.0186 53 2008 28 0.0217 53 2008 29 0.0186 53 2008 30 0.3509 54 2008 0 0.0077 54 2008 1 0.0170 54 2008 2 0.0377 54 2008 3 0.0424 54 2008 4 0.0471 54 2008 5 0.0579 54 2008 6 0.0552 54 2008 7 0.0485 54 2008 8 0.0406 54 2008 9 0.0439 54 2008 10 0.0505 54 2008 11 0.0539 54 2008 12 0.0435 54 2008 13 0.0360 54 2008 14 0.0348 54 2008 15 0.0375 54 2008 16 0.0303 54 2008 17 0.0231 54 2008 18 0.0196 54 2008 19 0.0150 54 2008 20 0.0183 54 2008 21 0.0208 54 2008 22 0.0218 54 2008 23 0.0217 54 2008 24 0.0186 54 2008 25 0.0173 54 2008 26 0.0163 54 2008 27 0.0118 54 2008 28 0.0084 54 2008 29 0.0059 54 2008 30 0.0968 61 2008 0 0.0030 61 2008 1 0.0167 61 2008 2 0.0334 61 2008 3 0.0393 61 2008 4 0.0506 61 2008 5 0.0530 61 2008 6 0.0620 61 2008 7 0.0625 61 2008 8 0.0562 61 2008 9 0.0551 61 2008 10 0.0595 61 2008 11 0.0569 61 2008 12 0.0458 61 2008 13 0.0493 61 2008 14 0.0380 61 2008 15 0.0435 61 2008 16 0.0425 61 2008 17 0.0312 61 2008 18 0.0262 61 2008 19 0.0235 61 2008 20 0.0201 61 2008 21 0.0225 61 2008 22 0.0212 61 2008 23 0.0141 61 2008 24 0.0137 61 2008 25 0.0096 61 2008 26 0.0069 61 2008 27 0.0039 61 2008 28 0.0030 61 2008 29 0.0027 61 2008 30 0.0343 62 2008 0 0.0078 62 2008 1 0.0232 62 2008 2 0.0307 62 2008 3 0.0907 62 2008 4 0.0721

# 23 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

62 2008 5 0.0808 62 2008 6 0.0564 62 2008 7 0.0520 62 2008 8 0.0360 62 2008 9 0.0552 62 2008 10 0.1019 62 2008 11 0.0813 62 2008 12 0.0603 62 2008 13 0.0425 62 2008 14 0.0439 62 2008 15 0.0442 62 2008 16 0.0273 62 2008 17 0.0202 62 2008 18 0.0122 62 2008 19 0.0101 62 2008 20 0.0103 62 2008 21 0.0080 62 2008 22 0.0079 62 2008 23 0.0058 62 2008 24 0.0050 62 2008 25 0.0036 62 2008 26 0.0038 62 2008 27 0.0001 62 2008 28 0.0012 62 2008 29 0.0010 62 2008 30 0.0046



### Table 6 : Kentucky Custom Domain Age distribution

Source TypeID yearID ageID ageFraction

11 2008 0 0.0020 11 2008 1 0.0323 11 2008 2 0.0606 11 2008 3 0.0826 11 2008 4 0.0831 11 2008 5 0.0774 11 2008 6 0.0667 11 2008 7 0.0830 11 2008 8 0.0650 11 2008 9 0.0495 11 2008 10 0.0424 11 2008 11 0.0345 11 2008 12 0.0287 11 2008 13 0.0214 11 2008 14 0.0240 11 2008 15 0.0208 11 2008 16 0.0138 11 2008 17 0.0129 11 2008 18 0.0092 11 2008 19 0.0051 11 2008 20 0.0052 11 2008 21 0.0058 11 2008 22 0.0078 11 2008 23 0.0108 11 2008 24 0.0153 11 2008 25 0.0168 11 2008 26 0.0124 11 2008 27 0.0160 11 2008 28 0.0228 11 2008 29 0.0152 11 2008 30 0.0568 21 2008 0 0.0118 21 2008 1 0.0665 21 2008 2 0.0596 21 2008 3 0.0642 21 2008 4 0.0611 21 2008 5 0.0705 21 2008 6 0.0694 21 2008 7 0.0699 21 2008 8 0.0719 21 2008 9 0.0619 21 2008 10 0.0633 21 2008 11 0.0591 21 2008 12 0.0490 21 2008 13 0.0442 21 2008 14 0.0348 21 2008 15 0.0318 21 2008 16 0.0241 21 2008 17 0.0191 21 2008 18 0.0142 21 2008 19 0.0111 21 2008 20 0.0088 21 2008 21 0.0066 21 2008 22 0.0049 21 2008 23 0.0039 21 2008 24 0.0028 21 2008 25 0.0024

# 24 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

21 2008 26 0.0018 21 2008 27 0.0009 21 2008 28 0.0005 21 2008 29 0.0005 21 2008 30 0.0094 31 2008 0 0.0000 31 2008 1 0.0000 31 2008 2 0.0000 31 2008 3 0.0000 31 2008 4 0.0238 31 2008 5 0.0119 31 2008 6 0.0119 31 2008 7 0.0119 31 2008 8 0.0119 31 2008 9 0.0000 31 2008 10 0.0238 31 2008 11 0.0357 31 2008 12 0.0119 31 2008 13 0.0952 31 2008 14 0.0833 31 2008 15 0.0595 31 2008 16 0.1071 31 2008 17 0.0357 31 2008 18 0.0357 31 2008 19 0.0357 31 2008 20 0.0119 31 2008 21 0.0476 31 2008 22 0.0238 31 2008 23 0.0119 31 2008 24 0.0119 31 2008 25 0.0595 31 2008 26 0.0357 31 2008 27 0.0000 31 2008 28 0.0238 31 2008 29 0.0238 31 2008 30 0.1548 32 2008 0 0.0000 32 2008 1 0.0000 32 2008 2 0.0000 32 2008 3 0.0000 32 2008 4 0.0238 32 2008 5 0.0119 32 2008 6 0.0119 32 2008 7 0.0119 32 2008 8 0.0119 32 2008 9 0.0000 32 2008 10 0.0238 32 2008 11 0.0357 32 2008 12 0.0119 32 2008 13 0.0952 32 2008 14 0.0833 32 2008 15 0.0595 32 2008 16 0.1071 32 2008 17 0.0357 32 2008 18 0.0357 32 2008 19 0.0357 32 2008 20 0.0119 32 2008 21 0.0476 32 2008 22 0.0238 32 2008 23 0.0119 32 2008 24 0.0119 32 2008 25 0.0595 32 2008 26 0.0357 32 2008 27 0.0000 32 2008 28 0.0238 32 2008 29 0.0238 32 2008 30 0.1548 41 2008 0 0.0455 41 2008 1 0.1136 41 2008 2 0.0000 41 2008 3 0.0114 41 2008 4 0.0227 41 2008 5 0.0000 41 2008 6 0.0000 41 2008 7 0.0114 41 2008 8 0.0114 41 2008 9 0.0227 41 2008 10 0.0114 41 2008 11 0.0568 41 2008 12 0.1250 41 2008 13 0.0227 41 2008 14 0.0000 41 2008 15 0.0341 41 2008 16 0.0341 41 2008 17 0.0682 41 2008 18 0.0455 41 2008 19 0.0909 41 2008 20 0.0568 41 2008 21 0.0455 41 2008 22 0.0341 41 2008 23 0.0455 41 2008 24 0.0227 41 2008 25 0.0227 41 2008 26 0.0114 41 2008 27 0.0000 41 2008 28 0.0227 41 2008 29 0.0000 41 2008 30 0.0114

# 25 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

42 2008 0 0.0455 42 2008 1 0.1136 42 2008 2 0.0000 42 2008 3 0.0114 42 2008 4 0.0227 42 2008 5 0.0000 42 2008 6 0.0000 42 2008 7 0.0114 42 2008 8 0.0114 42 2008 9 0.0227 42 2008 10 0.0114 42 2008 11 0.0568 42 2008 12 0.1250 42 2008 13 0.0227 42 2008 14 0.0000 42 2008 15 0.0341 42 2008 16 0.0341 42 2008 17 0.0682 42 2008 18 0.0455 42 2008 19 0.0909 42 2008 20 0.0568 42 2008 21 0.0455 42 2008 22 0.0341 42 2008 23 0.0455 42 2008 24 0.0227 42 2008 25 0.0227 42 2008 26 0.0114 42 2008 27 0.0000 42 2008 28 0.0227 42 2008 29 0.0000 42 2008 30 0.0114 43 2008 0 0.0455 43 2008 1 0.1136 43 2008 2 0.0000 43 2008 3 0.0114 43 2008 4 0.0227 43 2008 5 0.0000 43 2008 6 0.0000 43 2008 7 0.0114 43 2008 8 0.0114 43 2008 9 0.0227 43 2008 10 0.0114 43 2008 11 0.0568 43 2008 12 0.1250 43 2008 13 0.0227 43 2008 14 0.0000 43 2008 15 0.0341 43 2008 16 0.0341 43 2008 17 0.0682 43 2008 18 0.0455 43 2008 19 0.0909 43 2008 20 0.0568 43 2008 21 0.0455 43 2008 22 0.0341 43 2008 23 0.0455 43 2008 24 0.0227 43 2008 25 0.0227 43 2008 26 0.0114 43 2008 27 0.0000 43 2008 28 0.0227 43 2008 29 0.0000 43 2008 30 0.0114 51 2008 0 0.0025 51 2008 1 0.0200 51 2008 2 0.0386 51 2008 3 0.0436 51 2008 4 0.0495 51 2008 5 0.0579 51 2008 6 0.0667 51 2008 7 0.0698 51 2008 8 0.0620 51 2008 9 0.0611 51 2008 10 0.0675 51 2008 11 0.0619 51 2008 12 0.0508 51 2008 13 0.0529 51 2008 14 0.0397 51 2008 15 0.0397 51 2008 16 0.0375 51 2008 17 0.0276 51 2008 18 0.0204 51 2008 19 0.0184 51 2008 20 0.0158 51 2008 21 0.0174 51 2008 22 0.0152 51 2008 23 0.0108 51 2008 24 0.0108 51 2008 25 0.0071 51 2008 26 0.0052 51 2008 27 0.0031 51 2008 28 0.0021 51 2008 29 0.0021 51 2008 30 0.0220 52 2008 0 0.0025 52 2008 1 0.0200 52 2008 2 0.0386 52 2008 3 0.0436 52 2008 4 0.0495

# 26 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

52 2008 5 0.0579 52 2008 6 0.0667 52 2008 7 0.0698 52 2008 8 0.0620 52 2008 9 0.0611 52 2008 10 0.0675 52 2008 11 0.0619 52 2008 12 0.0508 52 2008 13 0.0529 52 2008 14 0.0397 52 2008 15 0.0397 52 2008 16 0.0375 52 2008 17 0.0276 52 2008 18 0.0204 52 2008 19 0.0184 52 2008 20 0.0158 52 2008 21 0.0174 52 2008 22 0.0152 52 2008 23 0.0108 52 2008 24 0.0108 52 2008 25 0.0071 52 2008 26 0.0052 52 2008 27 0.0031 52 2008 28 0.0021 52 2008 29 0.0021 52 2008 30 0.0220 53 2008 0 0.0025 53 2008 1 0.0200 53 2008 2 0.0386 53 2008 3 0.0436 53 2008 4 0.0495 53 2008 5 0.0579 53 2008 6 0.0667 53 2008 7 0.0698 53 2008 8 0.0620 53 2008 9 0.0611 53 2008 10 0.0675 53 2008 11 0.0619 53 2008 12 0.0508 53 2008 13 0.0529 53 2008 14 0.0397 53 2008 15 0.0397 53 2008 16 0.0375 53 2008 17 0.0276 53 2008 18 0.0204 53 2008 19 0.0184 53 2008 20 0.0158 53 2008 21 0.0174 53 2008 22 0.0152 53 2008 23 0.0108 53 2008 24 0.0108 53 2008 25 0.0071 53 2008 26 0.0052 53 2008 27 0.0031 53 2008 28 0.0021 53 2008 29 0.0021 53 2008 30 0.0220 54 2008 0 0.0025 54 2008 1 0.0200 54 2008 2 0.0386 54 2008 3 0.0436 54 2008 4 0.0495 54 2008 5 0.0579 54 2008 6 0.0667 54 2008 7 0.0698 54 2008 8 0.0620 54 2008 9 0.0611 54 2008 10 0.0675 54 2008 11 0.0619 54 2008 12 0.0508 54 2008 13 0.0529 54 2008 14 0.0397 54 2008 15 0.0397 54 2008 16 0.0375 54 2008 17 0.0276 54 2008 18 0.0204 54 2008 19 0.0184 54 2008 20 0.0158 54 2008 21 0.0174 54 2008 22 0.0152 54 2008 23 0.0108 54 2008 24 0.0108 54 2008 25 0.0071 54 2008 26 0.0052 54 2008 27 0.0031 54 2008 28 0.0021 54 2008 29 0.0021 54 2008 30 0.0220 61 2008 0 0.0000 61 2008 1 0.0064 61 2008 2 0.0295 61 2008 3 0.0205 61 2008 4 0.0321 61 2008 5 0.0346 61 2008 6 0.0423 61 2008 7 0.0308 61 2008 8 0.0269 61 2008 9 0.0179

# 27 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

61 2008 10 0.0462 61 2008 11 0.0410 61 2008 12 0.0359 61 2008 13 0.0513 61 2008 14 0.0333 61 2008 15 0.0359 61 2008 16 0.0423 61 2008 17 0.0269 61 2008 18 0.0295 61 2008 19 0.0231 61 2008 20 0.0385 61 2008 21 0.0397 61 2008 22 0.0333 61 2008 23 0.0346 61 2008 24 0.0295 61 2008 25 0.0192 61 2008 26 0.0346 61 2008 27 0.0128 61 2008 28 0.0141 61 2008 29 0.0128 61 2008 30 0.1244 62 2008 0 0.0000 62 2008 1 0.0064 62 2008 2 0.0295 62 2008 3 0.0205 62 2008 4 0.0321 62 2008 5 0.0346 62 2008 6 0.0423 62 2008 7 0.0308 62 2008 8 0.0269 62 2008 9 0.0179 62 2008 10 0.0462 62 2008 11 0.0410 62 2008 12 0.0359 62 2008 13 0.0513 62 2008 14 0.0333 62 2008 15 0.0359 62 2008 16 0.0423 62 2008 17 0.0269 62 2008 18 0.0295 62 2008 19 0.0231 62 2008 20 0.0385 62 2008 21 0.0397 62 2008 22 0.0333 62 2008 23 0.0346 62 2008 24 0.0295 62 2008 25 0.0192 62 2008 26 0.0346 62 2008 27 0.0128 62 2008 28 0.0141 62 2008 29 0.0128 62 2008 30 0.1244

# 28 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 2.4 Vehicle Type VMT and VMT Fractions

This option is useful to import the annual VMT by s ource type into MOVES format. It has input option as HPMS Base Year VMT, for which we can eith er use HPMS data or the Travel Demand Model output. We have used annual VMT calculated fr om the OKI Regional Travel Demand Model. There are options like the Month VMT fractio n, Day VMT fraction and Hour VMT fraction, which are useful for calculating emission s for different time periods. We have used default Monthly VMT distribution factors provided i n the VMT Converter provided by EPA. Hourly distribution factors are developed from traf fic count data collected in the region and the same set of Hourly Distribution Factors are used fo r all vehicle types and road types. OKI model could only predict VMT of two different vehicle typ es’ autos and trucks. So, we have distributed total Annual VMT based on vehicle population in the region.

Table 7 : Annual VMT for Ohio Custom Domain from OK I travel demand model for 2005

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 67065022 0 20 2005 7405961237 0 30 2005 4943917030 0 40 2005 24512225 0 50 2005 334351024 0 60 2005 567810955 0



### Table 8 :Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2005

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 16658465 0 20 2005 1815341688 0 30 2005 1209494070 0 40 2005 5968488 0 50 2005 82065068 0 60 2005 160708291 0



### Table 9: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2008

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 69438850 0 20 2008 7668102136 0 30 2008 5118911580 0 40 2008 25379858 0 50 2008 346185690 0 60 2008 587909153 0

# 29 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 10 : Annual VMT for Kentucky Custom Domain fr om OKI travel demand model for 2008

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 17342291 0 20 2008 1889861055 0 30 2008 1259143528 0 40 2008 6213493 0 50 2008 85433821 0 60 2008 167305330 0



### Table 9: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2011

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 69438850 0 20 2008 7668102136 0 30 2008 5118911580 0 40 2008 25379858 0 50 2008 346185689 0 60 2008 587909153 0



### Table 11: Annual VMT for Kentucky Custom Domain fro m OKI travel demand model for 2011

Table 12 :Annual VMT for Ohio Custom Domain from OK I travel demand model for 2015

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2015 73413634 0 20 2015 8107035747 0 30 2015 5411925719 0 40 2015 26832639 0 50 2015 366001875 0 60 2015 621561950 0



### Table 13: Annual VMT for Kentucky Custom Domain fro m OKI travel demand model for 2015

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2015 19903870 0 20 2015 2169006811 0 30 2015 1445127874 0 

### HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2011 18163152 0 20 2011 1979313603 0 30 2011 1318742406 0 40 2011 6507596 0 50 2011 89477649 0 60 2011 175224371 0

# 30 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

40 2015 7131270 0 50 2015 98052996 0 60 2015 192017502 0



### Table 14:Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2018

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2018 76802311 0 20 2018 8481245879 0 30 2018 5661733109 0 40 2018 28071199 0 50 2018 382896041 0 60 2018 650252434 0

Table 13:Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2018



### HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2018 21077884 0 20 2018 2296944011 0 30 2018 1530367631 0 40 2018 7551902 0 50 2018 103836577 0 60 2018 203343507 0



### Table 14 : Annual VMT for Ohio Custom Domain from O KI travel demand model for 2021

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2021 79128218 0 20 2021 8738094842 0 30 2021 5833194979 0 40 2021 28921317 0 50 2021 394491797 0 60 2021 669944902 0



### Table 15 : Annual VMT for Kentucky Custom Domain fr om OKI travel demand model for 2021

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2021 21702396 0 20 2021 2364999583 0 30 2021 1575710506 0 40 2021 7775656 0 50 2021 106913124 0 60 2021 209368320 0

# 31 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 16 : Default Monthly VMT Distribution(year 20 08)

sourceTypeID isLeapYear monthID monthVMTFraction

11 Y 1 0.072904 11 Y 2 0.072023 11 Y 3 0.081529 11 Y 4 0.082098 11 Y 5 0.087286 11 Y 6 0.088052 11 Y 7 0.092096 11 Y 8 0.093198 11 Y 9 0.08447 11 Y 10 0.086301 11 Y 11 0.080029 11 Y 12 0.080015 21 Y 1 0.072904 21 Y 2 0.072023 21 Y 3 0.081529 21 Y 4 0.082098 21 Y 5 0.087286 21 Y 6 0.088052 21 Y 7 0.092096 21 Y 8 0.093198 21 Y 9 0.08447 21 Y 10 0.086301 21 Y 11 0.080029 21 Y 12 0.080015 31 Y 1 0.072904 31 Y 2 0.072023



### Table 17 : Default Daily VMT distribution ( same f or all Source Types and all years)

sourceTypeID monthID roadTypeID dayID dayVMTFraction

11 1 1 2 0.237635
11 1 1 5 0.762365 11 1 2 2 0.237635 11 1 2 5 0.762365 11 1 3 2 0.237635 11 1 3 5 0.762365 11 1 4 2 0.237635 11 1 4 5 0.762365 11 1 5 2 0.237635 11 1 5 5 0.762365

# 32 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 18 : Hourly VMT Distribution from local data

sourceTypeID roadTypeID dayID hourID hourVMTFraction

11 1 2 1 0.021474 11 1 2 2 0.014443 11 1 2 3 0.010968 11 1 2 4 0.007495 11 1 2 5 0.006839 11 1 2 6 0.010359 11 1 2 7 0.01843 11 1 2 8 0.026812 11 1 2 9 0.036385 11 1 2 10 0.047541 11 1 2 11 0.057466 11 1 2 12 0.065079 11 1 2 13 0.071323 11 1 2 14 0.071492 11 1 2 15 0.071723 11 1 2 16 0.072006 11 1 2 17 0.071149 11 1 2 18 0.067887 11 1 2 19 0.061772 11 1 2 20 0.051688 11 1 2 21 0.042866 11 1 2 22 0.03803 11 1 2 23 0.032207 11 1 2 24 0.024568



## 2.5 Average Speed Distribution Importer

This importer allows the user to input average spee d data specific to vehicle type, road type, and time of day/ type of day. The MOVES model defin es 16 “speed bins” which describe the average driving speed on each road type. Unlike MOB ILE 6.2 model, which uses VMT-based speed distribution, MOVES use fraction of driving t ime in each speed bin for each vehicle type, for each road type, and for each hour. Thus, for ea ch combination of vehicle type, road type, and hour/day type, the fractions will add to one. We have used OKI travel model to calculate average speed distribution based on VHT. However, t his input is ignored by MOVES when we are running emission rate runs† (See Table 27).



## 2.6 Road Type Distribution Importer

User supplied vehicle-miles-traveled data by road t ype is used as an input in this importer. OKI travel demand model can calculate the VMT distribut ion by functional class, which is further

# 33 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### processed to obtain road type VMT distribution. But , our model could not predict off network VMT, which is assumed as zero. However, this input is also ignored by MOVES when we are running Emission Rate runs † (see Table 26).



## 2.7 Ramp Fraction Importer

This option allows the user to modify the fraction of ramp driving time on selected road types. But, in the current version of MOVES model, there i s no capability to model Emission Rates for Ramps. To circumvent this problem, FHWA has suggest ed a temporary solution. This solution discussed in the Section 3.


## 2.8 Fuel Formulation Importer and Fuel Supply Import er

Fuel formulation importer allows the user to select an existing fuel in the MOVES database and change its properties, or create a new fuel formula tion with different fuel properties. But we have used only default fuels available in MOVES def ault database. Fuel supply importer allows the user to assign existing fuels to counties, mont hs, and years, and the associated market share for each fuel. We have used default fuel supp ly from MOVES default database. And same type of fuel is used for Whole Custom Domain.

Table 19 : Fuel supply data for Ohio Custom Domain ( same for all years)



### countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

99390 2008 1 3982 1 99390 2008 1 20011 1 99390 2008 2 3982 1 99390 2008 2 20011 1 99390 2008 3 3982 1 99390 2008 3 20011 1 99390 2008 4 3982 1 99390 2008 4 20011 1 99390 2008 5 3982 1 99390 2008 5 20011 1 99390 2008 6 3982 1 99390 2008 6 20011 1 99390 2008 7 3982 1 99390 2008 7 20011 1 99390 2008 8 3982 1 99390 2008 8 20011 1 99390 2008 9 3982 1 99390 2008 9 20011 1 99390 2008 10 3982 1 99390 2008 10 20011 1 99390 2008 11 3982 1 99390 2008 11 20011 1

# 34 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

99390 2008 12 3982 1 99390 2008 12 20011 1



### Table 20: Fuel supply data for Kentucky Custom Doma in (same for all years)

countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

99210 2012 1 3982 1 99210 2012 1 20011 1 99210 2012 2 3982 1 99210 2012 2 20011 1 99210 2012 3 3982 1 99210 2012 3 20011 1 99210 2012 4 3982 1 99210 2012 4 20011 1 99210 2012 5 3982 1 99210 2012 5 20011 1 99210 2012 6 3982 1 99210 2012 6 20011 1 99210 2012 7 3982 1 99210 2012 7 20011 1 99210 2012 8 3982 1 99210 2012 8 20011 1 99210 2012 9 3982 1 99210 2012 9 20011 1 99210 2012 10 3982 1 99210 2012 10 20011 1 99210 2012 11 3982 1 99210 2012 11 20011 1 99210 2012 12 3982 1 99210 2012 12 20011 1



## 2.9 I/M Importer

The I/M Importer allows the user to import informat ion describing the inspection and maintenance programs. In the default database there is an option, whether to use default I/M program or not. We choose no I/M program for all o f the Runspecs[sic] in the whole region.



## 2.10 Zone Road Activity Importer

The Zone Road Activity Importer is used only if the Custom Domain option is chosen in the County Domain Manager. We have used value 1 for SHO allocfactor for each road type which means that all of the VMT input by the users is ass igned to custom domain.

# 35 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 21 : Kentucky Custom Domain Zone road activit y data (same for all years)

zoneID roadTypeID SHOAllocFactor

992100 1 1 992100 2 1 992100 3 1 992100 4 1 992100 5 1



### Table 22 : Ohio Custom Domain Zone road activity da ta (same for all years)

zoneID roadTypeID SHOAllocFactor

993900 1 1 993900 2 1 993900 3 1 993900 4 1 993900 5 1



## 3. Ramp Inventory Runs

As discussed earlier, current version of the MOVES model cannot calculate Emission Rates for Ramps. To deal with this problem, FHWA has suggeste d an approach. The steps involved in this method are: (a) Calculating Emission Inventory for Urban Restricted and Rural Restricted road types keeping Ramp fraction as 1 (b) Finding out to tal VMT of Urban Restricted and Rural Restricted road types using MOVESactivityoutput opt ion (c) Calculation Emission Rates for Ramps through dividing Emission Inventory with VMT ( d) Finally, using the Emission Rates in post processing for calculating regional Emission I nventory.

Table 23 :Ramp fraction Input

roadTypeID rampFraction

2 1 4 1

# 36 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 4. Post-Processing of MOVES Output

4.1 Linking SQL tables to Microsoft Access Microsoft Access 2007 was used for the post-process ing. An ODBC connection with the MOVES output directory was established. Information on h ow to link or import SQL tables to Access can be found in the MOVES Users Guide.


## 4.2 Creating Emission Rate Lookup Tables The ratepervehicle and rateperdistance SQL tables, one set for each state (Kentucky and Ohio) and analysis year, were imported into Access. Ohio emission rates are used for the nonattainment portion of Dearborn County Indiana. Rateperprofile output was not generated by MOVES because evaporative output was not selecte d (i.e. VOC). Tables were renamed with state and analysis year in the format OH_20xxratepe rdistance. All rateperdistance tables were merged with a Union query. The SQL commands are sh own in Figure 3.1. ratepervehicle tables were merged in the same manner.

Table 24 :Rateperdistance Union Query

SELECT * FROM OH_2008rateperdistance WHERE MOVESRunID = (select max (MOVESRunID) from OH _2008rateperdistance) AND pollutantID = 3 Or MOVESRunID = (select max (MOVES RunID) from OH_2008rateperdistance) AND pollutantID=110 Or MOVE SRunID = (select max (MOVESRunID) from OH_2008rateperdistance) AND pollu tantID=116 Or MOVESRunID = (select max (MOVESRunID) from OH_2008rateperdistanc e) AND pollutantID=117 Or MOVESRunID = (select max (MOVESRunID) from OH_2008r ateperdistance) AND pollutantID = 31 UNION ALL select * FROM OH_2011rateperdistance WHERE ..... (repeated for each file)



### “Rateperdistance_state” and “Ratepervehicle_state” tables were created from the union query output using a Make Table query. Emission rates fo r each process were summed by pollutant and a stateID field is created. The SQL commands f or creating the “Rateperdistance_state” table are shown in Table 25. Unique index fields w ere identified for each of the two tables. Indexes facilitate more efficient data processing.

Table 25: Rateperdistance_State Query

SELECT Val(Mid([LinkID],3,2)) AS StateID, Union_rat eperdistance_state.yearID, Union_rateperdistance_state.monthID, Union_rateperd istance_state.linkID, Union_rateperdistance_state.hourID, Union_rateperdi stance_state.sourceTypeID, Union_rateperdistance_state.roadTypeID, Union_rateperdistance_state.avgSpeedBinID, Union_rateperdistance_state.pollutantID, Sum(Union_rateperdistance_state.ratePerDistance) AS SumOfratePerDistance INTO rateperdistance_state

# 37 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions

FROM Union_rateperdistance_state GROUP BY Val(Mid([LinkID],3,2)), Union_rateperdista nce_state.yearID, Union_rateperdistance_state.monthID, Union_rateperd istance_state.linkID, Union_rateperdistance_state.hourID, Union_rateperdi stance_state.sourceTypeID, Union_rateperdistance_state.roadTypeID, Union_rateperdistance_state.avgSpeedBinID, Union_rateperdistance_state.pollutantID ORDER BY Union_rateperdistance_state.linkID, Union_rateperdistance_state.hourID, Union_rateperdi stance_state.pollutantID; 

## 4.1 Creating a VMT Table by County

The VMT table includes Daily VMT by county by analy sis year from the OKI Travel Demand Model (TDM). Summer factors and applied by functio nal class to create Summer VMT. Seasonal factors by functional class are contained in the report, “OKI Travel Demand Forecasting Model, Update of Hourly and Seasonal Fa ctors as Used in Air Quality Impact Calculations”, September 2001. Annual VMT is calcu lated by using EPA’s VMT converter to grow daily VMT to annual VMT. In order to accommod ate an error in MOVES 2010, all VMT values are exclusive of ramp VMT. Ramp VMT and emi ssion are added in later in the process. In order to apply the emission rates, it is necessa ry to factor the county VMT by source type, hour, road type and speed bin.

Table 26 : VMT and Source Type Population by County and Year



### County Daily VMT Summer VMT Annual VMT yearID SourceType Population stateID

Boone 3924117 4186006 1273226984 2005 129823 21
Boone 4076584 4355527 1350001557 2008 134028 21
Boone 4383716 4681593 1448879510 2011 136181 21
Boone 4950741 5276742 1628041303 2015 140590 21
Boone 5260102 5597287 1729595179 2018 143991 21
Boone 5478224 5826768 1800571708 2021 147476 21 Campbell 2286217 2437698 741790605 2005 86065 21 Campbell 2339542 2495174 774762729 2008 88853 21 Campbell 2421600 2582758 800372702 2011 90279 21 Campbell 2663159 2844504 875774499 2015 93204 21 Campbell 2771476 2958827 911300109 2018 95458 21 Campbell 2849127 3041704 936445364 2021 97768 21
Kenton 3927743 4182042 1274091658 2005 148193 21
Kenton 3927332 4185652 1300575265 2008 152992 21
Kenton 4049886 4327836 1338544021 2011 155451 21
Kenton 4341124 4614242 1427569992 2015 160484 21
Kenton 4629694 4880614 1522308203 2018 164368 21
Kenton 4715306 5006383 1549817345 2021 168343 21 Butler 578641 7804476 196737836 2005 24915 39

# 38 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Butler 587582 8133554 199777880 2008 25722 39 Butler 605620 8454053 205910800 2011 26135 39 Butler 657778 8768598 223644400 2015 26982 39 Butler 684361 9232457 232682740 2018 27635 39 Butler 706828 9592567 240321520 2021 28303 39 Clermont 7452286 5391578 2469166037 2005 401759 39 Clermont 7745685 5599530 2598059212 2008 414771 39 Clermont 8050701 5841102 2693716250 2011 421434 39 Clermont 8361487 6035155 2792188144 2015 435082 39 Clermont 8806042 6314640 2940849935 2018 445608 39 Clermont 9150031 6562428 2966037449 2021 456389 39 Dearborn NA 5083331 599761 1684259908 2005 232380 39 Dearborn NA 5262489 613027 1765145113 2008 239906 39 Dearborn NA 5489545 631914 1836768820 2011 243760 39 Dearborn NA 5687698 685272 1899318043 2015 251654 39 Dearborn NA 5952603 712461 1987920583 2018 257742 39 Dearborn NA 6186441 735862 2005371969 2021 263978 39 Hamilton 21859452 23170766 7241529618 2005 862422 39 Hamilton 22124503 23447460 7421005221 2008 890352 39 Hamilton 22426021 23803187 7503612070 2011 904655 39 Hamilton 22849494 24259554 7630232069 2015 933953 39 Hamilton 23630554 25096560 7891617279 2018 956548 39 Hamilton 24098698 25596996 7811737549 2021 979689 39
Warren 5884216 6263010 1949617151 2005 233106 39
Warren 6057338 6464217 2031753523 2008 240655 39
Warren 6406284 6835660 2143504189 2011 244521 39
Warren 6842828 7279441 2285055662 2015 252440 39
Warren 7368035 7836746 2460615706 2018 258547 39
Warren 7707500 8194596 2498432370 2021 264802 39



## 4.2 Source type population and source type VMT distr ibution
A combination of local and MOVES default data were used for the source type populations. The source type VMT fractions are based on the ratio of MOVES default source type population and MOVES default source type VMT. It is assumed that the growth rate of source type populations is equal to the regional annual household growth ra te of 0.8%. Source type VMT fractions are the same for all analysis years.

# 39 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 27: Base Year Source Type Population and VMT Fraction

stateID sourceTypeID sourceType Population sourceTypeFraction sourceTypeVMTFraction

39 11 69121 0.038559 0.005026
39 21 1200827 0.669872 0.555019
39 31 486373 0.271319 0.277725
39 32 15947 0.008896 0.092783
39 41 458 0.000255 0.000754
39 42 82 0.000046 0.000225
39 43 3681 0.002053 0.000858
39 51 0 0.000000 0.000644
39 52 369 0.000206 0.020527
39 53 364 0.000203 0.002663
39 54 4928 0.002749 0.001224
39 61 4879 0.002722 0.017977
39 62 5593 0.003120 0.024576
21 11 8040 0.021370 0.005063
21 21 198623 0.527931 0.551736
21 31 121506 0.322958 0.275546
21 32 40593 0.107894 0.092055
21 41 128 0.000340 0.000745
21 42 21 0.000056 0.000222
21 43 985 0.002618 0.000847
21 51 0 0.000000 0.000641
21 52 767 0.002039 0.020433
21 53 757 0.002012 0.002650
21 54 1390 0.003695 0.001218
21 61 1593 0.004234 0.020634
21 62 1826 0.004853 0.028210



## 4.3 Hourly distribution MOVES default hourly distribution by source type wa s used during the post-processing.


## 4.4 Road type distribution Road type VMT fractions by source type are default values, except for passenger cars (source type 21) and passenger trucks (source type 31). VM T fractions from the OKI TDM are used for passenger cars and passenger trucks.

# 40 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 28: Base Year Source Type Population and VMT Fraction

sourceTypeID roadTypeID roadTypeVMTFraction stateID

21 1 0 21
21 2 0.0952 21
21 3 0.0818 21
21 4 0.4741 21
21 5 0.3489 21
31 1 0 21
31 2 0.0952 21
31 3 0.0818 21
31 4 0.4741 21
31 5 0.3489 21
21 1 0 39
21 2 0.0436 39
21 3 0.1256 39
21 4 0.4143 39
21 5 0.4165 39
31 1 0 39
31 2 0.0436 39
31 3 0.1256 39
31 4 0.4143 39
31 5 0.4165 39



## 4.5 Average speed distribution Average speed fractions for each of the 16 speed bi ns are provided by the OKI TDM. The average speed fractions vary by state, year, road t ype and hour.

Table 29: Average Speed Distribution (Example: only road type 2, year 2011, Ohio values shown)

roadT ypeID hourID avgSpeedBinID avgSpeedFraction YearID stateID

2 1 1 0.00000000 2011 39

2 1 2 0.00000000 2011 39

2 1 3 0.00000000 2011 39

2 1 4 0.00000000 2011 39

2 1 5 0.00000000 2011 39

2 1 6 0.00000000 2011 39

2 1 7 0.00000000 2011 39

2 1 8 0.00000000 2011 39

# 41 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 1 9 0.00000000 2011 39

2 1 10 0.11922233 2011 39

2 1 11 0.12547629 2011 39

2 1 12 0.19752816 2011 39

2 1 13 0.00589550 2011 39

2 1 14 0.00000000 2011 39

2 1 15 0.55187773 2011 39

2 1 16 0.00000000 2011 39

2 2 1 0.00000000 2011 39

2 2 2 0.00000000 2011 39

2 2 3 0.00000000 2011 39

2 2 4 0.00000000 2011 39

2 2 5 0.00000000 2011 39

2 2 6 0.00000000 2011 39

2 2 7 0.00000000 2011 39

2 2 8 0.00000000 2011 39

2 2 9 0.00000000 2011 39

2 2 10 0.11922233 2011 39

2 2 11 0.12547629 2011 39

2 2 12 0.19752816 2011 39

2 2 13 0.00589550 2011 39

2 2 14 0.00000000 2011 39

2 2 15 0.55187773 2011 39

2 2 16 0.00000000 2011 39

2 3 1 0.00000000 2011 39

2 3 2 0.00000000 2011 39

2 3 3 0.00000000 2011 39

2 3 4 0.00000000 2011 39

2 3 5 0.00000000 2011 39

2 3 6 0.00000000 2011 39

2 3 7 0.00000000 2011 39

2 3 8 0.00000000 2011 39

2 3 9 0.00000000 2011 39

2 3 10 0.11922233 2011 39

2 3 11 0.12547629 2011 39

2 3 12 0.19752816 2011 39

2 3 13 0.00589550 2011 39

2 3 14 0.06436270 2011 39

# 42 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 3 15 0.48751503 2011 39

2 3 16 0.00000000 2011 39

2 4 1 0.00000000 2011 39

2 4 2 0.00000000 2011 39

2 4 3 0.00000000 2011 39

2 4 4 0.00000000 2011 39

2 4 5 0.00000000 2011 39

2 4 6 0.00000000 2011 39

2 4 7 0.00000000 2011 39

2 4 8 0.00000000 2011 39

2 4 9 0.00000000 2011 39

2 4 10 0.11922233 2011 39

2 4 11 0.12547629 2011 39

2 4 12 0.19752816 2011 39

2 4 13 0.00589550 2011 39

2 4 14 0.12369152 2011 39

2 4 15 0.42818621 2011 39

2 4 16 0.00000000 2011 39

2 5 1 0.00000000 2011 39

2 5 2 0.00000000 2011 39

2 5 3 0.00000000 2011 39

2 5 4 0.00000000 2011 39

2 5 5 0.00000000 2011 39

2 5 6 0.00000000 2011 39

2 5 7 0.00000000 2011 39

2 5 8 0.00000000 2011 39

2 5 9 0.00000000 2011 39

2 5 10 0.11922233 2011 39

2 5 11 0.12547629 2011 39

2 5 12 0.26189086 2011 39

2 5 13 0.09782827 2011 39

2 5 14 0.06250896 2011 39

2 5 15 0.33307330 2011 39

2 5 16 0.00000000 2011 39

2 6 1 0.00000000 2011 39

2 6 2 0.12369152 2011 39

2 6 3 0.03260396 2011 39

2 6 4 0.03085494 2011 39

# 43 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 6 5 0.01601927 2011 39

2 6 6 0.01563475 2011 39

2 6 7 0.00000000 2011 39

2 6 8 0.00000000 2011 39

2 6 9 0.00000000 2011 39

2 6 10 0.11922233 2011 39

2 6 11 0.12547629 2011 39

2 6 12 0.19752816 2011 39

2 6 13 0.00589550 2011 39

2 6 14 0.00278921 2011 39

2 6 15 0.33028409 2011 39

2 6 16 0.00000000 2011 39

2 7 1 0.21880443 2011 39

2 7 2 0.00000000 2011 39

2 7 3 0.00278921 2011 39

2 7 4 0.00000000 2011 39

2 7 5 0.01131028 2011 39

2 7 6 0.03548550 2011 39

2 7 7 0.03519436 2011 39

2 7 8 0.03514937 2011 39

2 7 9 0.00617093 2011 39

2 7 10 0.08564905 2011 39

2 7 11 0.14691446 2011 39

2 7 12 0.13064235 2011 39

2 7 13 0.00589550 2011 39

2 7 14 0.14352342 2011 39

2 7 15 0.14247115 2011 39

2 7 16 0.00000000 2011 39

2 8 1 0.21880443 2011 39

2 8 2 0.00278921 2011 39

2 8 3 0.01131028 2011 39

2 8 4 0.01356074 2011 39

2 8 5 0.05711912 2011 39

2 8 6 0.03514937 2011 39

2 8 7 0.02902228 2011 39

2 8 8 0.01193860 2011 39

2 8 9 0.07229727 2011 39

2 8 10 0.05473480 2011 39

# 44 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 8 11 0.08493157 2011 39

2 8 12 0.11645227 2011 39

2 8 13 0.04360641 2011 39

2 8 14 0.20648097 2011 39

2 8 15 0.04180267 2011 39

2 8 16 0.00000000 2011 39

2 9 1 0.21880443 2011 39

2 9 2 0.00000000 2011 39

2 9 3 0.00000000 2011 39

2 9 4 0.00000000 2011 39

2 9 5 0.00000000 2011 39

2 9 6 0.00278921 2011 39

2 9 7 0.00000000 2011 39

2 9 8 0.04679577 2011 39

2 9 9 0.03519436 2011 39

2 9 10 0.08369185 2011 39

2 9 11 0.14590244 2011 39

2 9 12 0.15349370 2011 39

2 9 13 0.02733367 2011 39

2 9 14 0.03771092 2011 39

2 9 15 0.24828365 2011 39

2 9 16 0.00000000 2011 39

2 10 1 0.15629548 2011 39

2 10 2 0.04687421 2011 39

2 10 3 0.01563475 2011 39

2 10 4 0.00000000 2011 39

2 10 5 0.00000000 2011 39

2 10 6 0.00000000 2011 39

2 10 7 0.00000000 2011 39

2 10 8 0.00000000 2011 39

2 10 9 0.00000000 2011 39

2 10 10 0.11922233 2011 39

2 10 11 0.13957578 2011 39

2 10 12 0.18621788 2011 39

2 10 13 0.00589550 2011 39

2 10 14 0.04428952 2011 39

2 10 15 0.28599457 2011 39

2 10 16 0.00000000 2011 39

# 45 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 11 1 0.06436270 2011 39

2 11 2 0.12278771 2011 39

2 11 3 0.01601927 2011 39

2 11 4 0.01563475 2011 39

2 11 5 0.00000000 2011 39

2 11 6 0.00000000 2011 39

2 11 7 0.00000000 2011 39

2 11 8 0.00000000 2011 39

2 11 9 0.00000000 2011 39

2 11 10 0.11922233 2011 39

2 11 11 0.13678656 2011 39

2 11 12 0.18900709 2011 39

2 11 13 0.00589550 2011 39

2 11 14 0.02285135 2011 39

2 11 15 0.30743274 2011 39

2 11 16 0.00000000 2011 39

2 12 1 0.06436270 2011 39

2 12 2 0.09193278 2011 39

2 12 3 0.04687421 2011 39

2 12 4 0.01563475 2011 39

2 12 5 0.00000000 2011 39

2 12 6 0.00000000 2011 39

2 12 7 0.00000000 2011 39

2 12 8 0.00000000 2011 39

2 12 9 0.00000000 2011 39

2 12 10 0.11922233 2011 39

2 12 11 0.12547629 2011 39

2 12 12 0.20031737 2011 39

2 12 13 0.00589550 2011 39

2 12 14 0.02285135 2011 39

2 12 15 0.30743274 2011 39

2 12 16 0.00000000 2011 39

2 13 1 0.06436270 2011 39

2 13 2 0.09193278 2011 39

2 13 3 0.04687421 2011 39

2 13 4 0.01563475 2011 39

2 13 5 0.00000000 2011 39

2 13 6 0.00000000 2011 39

# 46 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 13 7 0.00000000 2011 39

2 13 8 0.00000000 2011 39

2 13 9 0.00000000 2011 39

2 13 10 0.11922233 2011 39

2 13 11 0.12547629 2011 39

2 13 12 0.19752816 2011 39

2 13 13 0.00868471 2011 39

2 13 14 0.00000000 2011 39

2 13 15 0.33028409 2011 39

2 13 16 0.00000000 2011 39

2 14 1 0.06436270 2011 39

2 14 2 0.09193278 2011 39

2 14 3 0.03085494 2011 39

2 14 4 0.03165402 2011 39

2 14 5 0.00000000 2011 39

2 14 6 0.00000000 2011 39

2 14 7 0.00000000 2011 39

2 14 8 0.00000000 2011 39

2 14 9 0.00000000 2011 39

2 14 10 0.11922233 2011 39

2 14 11 0.12547629 2011 39

2 14 12 0.19752816 2011 39

2 14 13 0.00868471 2011 39

2 14 14 0.00000000 2011 39

2 14 15 0.33028409 2011 39

2 14 16 0.00000000 2011 39

2 15 1 0.06436270 2011 39

2 15 2 0.09193278 2011 39

2 15 3 0.04687421 2011 39

2 15 4 0.01563475 2011 39

2 15 5 0.00000000 2011 39

2 15 6 0.00000000 2011 39

2 15 7 0.00000000 2011 39

2 15 8 0.00000000 2011 39

2 15 9 0.00000000 2011 39

2 15 10 0.11922233 2011 39

2 15 11 0.12547629 2011 39

2 15 12 0.19752816 2011 39

# 47 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 15 13 0.00868471 2011 39

2 15 14 0.02285135 2011 39

2 15 15 0.30743274 2011 39

2 15 16 0.00000000 2011 39

2 16 1 0.12369152 2011 39

2 16 2 0.07947816 2011 39

2 16 3 0.01563475 2011 39

2 16 4 0.00000000 2011 39

2 16 5 0.00000000 2011 39

2 16 6 0.00000000 2011 39

2 16 7 0.00000000 2011 39

2 16 8 0.00000000 2011 39

2 16 9 0.00000000 2011 39

2 16 10 0.11922233 2011 39

2 16 11 0.13957578 2011 39

2 16 12 0.18621788 2011 39

2 16 13 0.00589550 2011 39

2 16 14 0.04428952 2011 39

2 16 15 0.28599457 2011 39

2 16 16 0.00000000 2011 39

2 17 1 0.20316968 2011 39

2 17 2 0.01563475 2011 39

2 17 3 0.00000000 2011 39

2 17 4 0.00000000 2011 39

2 17 5 0.00000000 2011 39

2 17 6 0.00000000 2011 39

2 17 7 0.00278921 2011 39

2 17 8 0.02487101 2011 39

2 17 9 0.05711912 2011 39

2 17 10 0.05722137 2011 39

2 17 11 0.15811770 2011 39

2 17 12 0.14489757 2011 39

2 17 13 0.05018502 2011 39

2 17 14 0.00000000 2011 39

2 17 15 0.28599457 2011 39

2 17 16 0.00000000 2011 39

2 18 1 0.15629548 2011 39

2 18 2 0.04687421 2011 39

# 48 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 18 3 0.01563475 2011 39

2 18 4 0.00000000 2011 39

2 18 5 0.00000000 2011 39

2 18 6 0.00000000 2011 39

2 18 7 0.00000000 2011 39

2 18 8 0.00000000 2011 39

2 18 9 0.00000000 2011 39

2 18 10 0.11922233 2011 39

2 18 11 0.13957578 2011 39

2 18 12 0.18621788 2011 39

2 18 13 0.00589550 2011 39

2 18 14 0.04428952 2011 39

2 18 15 0.28599457 2011 39

2 18 16 0.00000000 2011 39

2 19 1 0.00000000 2011 39

2 19 2 0.00000000 2011 39

2 19 3 0.00000000 2011 39

2 19 4 0.00000000 2011 39

2 19 5 0.06436270 2011 39

2 19 6 0.00000000 2011 39

2 19 7 0.05932882 2011 39

2 19 8 0.03260396 2011 39

2 19 9 0.00000000 2011 39

2 19 10 0.15007727 2011 39

2 19 11 0.14149556 2011 39

2 19 12 0.21316291 2011 39

2 19 13 0.00589550 2011 39

2 19 14 0.00000000 2011 39

2 19 15 0.33307330 2011 39

2 19 16 0.00000000 2011 39

2 20 1 0.00000000 2011 39

2 20 2 0.00000000 2011 39

2 20 3 0.00000000 2011 39

2 20 4 0.00000000 2011 39

2 20 5 0.00000000 2011 39

2 20 6 0.00000000 2011 39

2 20 7 0.00000000 2011 39

2 20 8 0.00000000 2011 39

# 49 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 20 9 0.00000000 2011 39

2 20 10 0.11922233 2011 39

2 20 11 0.12547629 2011 39

2 20 12 0.19752816 2011 39

2 20 13 0.00589550 2011 39

2 20 14 0.15629548 2011 39

2 20 15 0.39558226 2011 39

2 20 16 0.00000000 2011 39

2 21 1 0.00000000 2011 39

2 21 2 0.00000000 2011 39

2 21 3 0.00000000 2011 39

2 21 4 0.00000000 2011 39

2 21 5 0.00000000 2011 39

2 21 6 0.00000000 2011 39

2 21 7 0.00000000 2011 39

2 21 8 0.00000000 2011 39

2 21 9 0.00000000 2011 39

2 21 10 0.11922233 2011 39

2 21 11 0.12547629 2011 39

2 21 12 0.19752816 2011 39

2 21 13 0.00589550 2011 39

2 21 14 0.00000000 2011 39

2 21 15 0.55187773 2011 39

2 21 16 0.00000000 2011 39

2 22 1 0.00000000 2011 39

2 22 2 0.00000000 2011 39

2 22 3 0.00000000 2011 39

2 22 4 0.00000000 2011 39

2 22 5 0.00000000 2011 39

2 22 6 0.00000000 2011 39

2 22 7 0.00000000 2011 39

2 22 8 0.00000000 2011 39

2 22 9 0.00000000 2011 39

2 22 10 0.11922233 2011 39

2 22 11 0.12547629 2011 39

2 22 12 0.19752816 2011 39

2 22 13 0.00589550 2011 39

2 22 14 0.00000000 2011 39

# 50 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### 2 22 15 0.55187773 2011 39

2 22 16 0.00000000 2011 39

2 23 1 0.00000000 2011 39

2 23 2 0.00000000 2011 39

2 23 3 0.00000000 2011 39

2 23 4 0.00000000 2011 39

2 23 5 0.00000000 2011 39

2 23 6 0.00000000 2011 39

2 23 7 0.00000000 2011 39

2 23 8 0.00000000 2011 39

2 23 9 0.00000000 2011 39

2 23 10 0.11922233 2011 39

2 23 11 0.12547629 2011 39

2 23 12 0.19752816 2011 39

2 23 13 0.00589550 2011 39

2 23 14 0.00000000 2011 39

2 23 15 0.55187773 2011 39

2 23 16 0.00000000 2011 39

2 24 1 0.00000000 2011 39

2 24 2 0.00000000 2011 39

2 24 3 0.00000000 2011 39

2 24 4 0.00000000 2011 39

2 24 5 0.00000000 2011 39

2 24 6 0.00000000 2011 39

2 24 7 0.00000000 2011 39

2 24 8 0.00000000 2011 39

2 24 9 0.00000000 2011 39

2 24 10 0.11922233 2011 39

2 24 11 0.12547629 2011 39

2 24 12 0.19752816 2011 39

2 24 13 0.00589550 2011 39

2 24 14 0.00000000 2011 39

2 24 15 0.55187773 2011 39

2 24 16 0.00000000 2011 39

# 51 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 4.6 Creating a VMT Table by County, Year, Source Type, Hour, Road Type, and Average Speed Bin

The ‘CountyVMT’ query creates a County VMT Table by source type, hour, road type and average speed utilizing the VMT distribution factor s described in 4.2, 4.3, 4.4 and 4.5. The SQL commands for this query are shown in Table 30.

Table 30 :County VMT Table Query
SELECT VMT.yearID, VMT.State, roadtypedistribution1 .stateID, VMT.County, roadtypedistribution1.sourceTypeID, hourvmtfraction .hourID, roadtypedistribution1.roadTypeID, avgSpeedDistribut ion.avgSpeedBinID, sourecetypepopulation.sourceTypeFraction, hourvmtfr action.hourVMTFraction, roadtypedistribution1.roadTypeVMTFraction, avgSpeedDistribution.avgSpeedFraction, First(VMT.[A nnual VMT]) AS [FirstOfAnnual VMT], First(VMT.[Summer VMT]) AS [Fi rstOfSummer VMT], [FirstOfSummer VMT]*[hourVMTFraction]*[sourceTypeFraction]*[roadTy peVMTFraction]*[avgSpeedFr action] AS DailyVMT, [FirstOfAnnual VMT]*[sourceTypeFraction]*[hourVMTFraction]*[roadTy peVMTFraction]*[avgSpeedFr action] AS AnnualizedVMT INTO CountyVMT_Table FROM (((avgSpeedDistribution INNER JOIN hourvmtfrac tion ON (avgSpeedDistribution.hourDayID = hourvmtfraction.h ourID) AND (avgSpeedDistribution.roadTypeID = hourvmtfraction. roadTypeID) AND (avgSpeedDistribution.sourceTypeID = hourvmtfractio n.sourceTypeID)) INNER JOIN roadtypedistribution1 ON (avgSpeedDistribution .stateID = roadtypedistribution1.stateID) AND (avgSpeedDistrib ution.roadTypeID = roadtypedistribution1.roadTypeID) AND (avgSpeedDist ribution.sourceTypeID = roadtypedistribution1.sourceTypeID)) INNER JOIN sou recetypepopulation ON (avgSpeedDistribution.sourceTypeID = sourecetypepop ulation.sourceTypeID) AND (avgSpeedDistribution.stateID = sourecetypepopulati on.stateID)) INNER JOIN VMT ON (avgSpeedDistribution.YearID = VMT.yearID) A ND (avgSpeedDistribution.stateID = VMT.stateID) GROUP BY VMT.yearID, VMT.State, roadtypedistributio n1.stateID, VMT.County, roadtypedistribution1.sourceTypeID, hourvmtfraction .hourID, roadtypedistribution1.roadTypeID, avgSpeedDistribut ion.avgSpeedBinID, sourecetypepopulation.sourceTypeFraction, hourvmtfr action.hourVMTFraction, roadtypedistribution1.roadTypeVMTFraction, avgSpeedDistribution.avgSpeedFraction HAVING (((avgSpeedDistribution.avgSpeedFraction)>0) ) ORDER BY VMT.yearID, roadtypedistribution1.stateID, VMT.County, hourvmtfraction.hourID;



## 5. Combining VMT and Emission Rates; Calculating To tal Emissions

5.1 Summarizing Distance-based Emissions by Source T ype The daily VMT and annual VMT in each county, year, hour, source type, road type, and speed bin is multiplied by the appropriate rate per dista nce for each pollutant. This query is shown in Table 31.

# 52 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### Table 31 :Emissions distance Query
SELECT CountyVMT_Table.stateID, CountyVMT_Table.Sta te, CountyVMT_Table.County, CountyVMT_Table.yearID, rateperdistance_state.monthID, CountyVMT_Table.hour ID, rateperdistance_state.sourceTypeID, CountyVMT_Table .roadTypeID, CountyVMT_Table.avgSpeedBinID, rateperdistance_stat e.pollutantID, CountyVMT_Table.DailyVMT, CountyVMT_Table.Annualize dVMT, rateperdistance_state.SumOfratePerDistance, [DailyV MT]*[SumOfratePerDistance] AS EmissionsDist, [AnnualizedVMT]*[SumOfratePerDist ance] AS AnnualEmissionsDist FROM rateperdistance_state INNER JOIN CountyVMT_Tab le ON (rateperdistance_state.avgSpeedBinID = CountyVMT_Ta ble.avgSpeedBinID) AND (rateperdistance_state.roadTypeID = CountyVMT_Table .roadTypeID) AND (rateperdistance_state.sourceTypeID = CountyVMT_Tab le.sourceTypeID) AND (rateperdistance_state.hourID = CountyVMT_Table.hou rID) AND (rateperdistance_state.StateID = CountyVMT_Table.st ateID) AND (rateperdistance_state.yearID = CountyVMT_Table.yea rID) GROUP BY CountyVMT_Table.stateID, CountyVMT_Table.S tate, CountyVMT_Table.County, CountyVMT_Table.yearID, rateperdistance_state.monthID, CountyVMT_Table.hour ID, rateperdistance_state.sourceTypeID, CountyVMT_Table .roadTypeID, CountyVMT_Table.avgSpeedBinID, rateperdistance_stat e.pollutantID, CountyVMT_Table.DailyVMT, CountyVMT_Table.Annualize dVMT, rateperdistance_state.SumOfratePerDistance;



### A second query further summarizes the emissions by source type. This is necessary in order to combine with vehicle-based emissions that are indep endent of road type and speed.



## 5.2 Summarizing Vehicle-based Emissions by Source ty pe The source population for each county, year, hour, and source type is multiplied by the rate per vehicle for each pollutant. This query is shown in Table 32.

Table 32: Emissions Vehicle Query
SELECT VMT.stateID, VMT.County, ratepervehicle_stat e.yearID, ratepervehicle_state.monthID, ratepervehicle_state. hourID, ratepervehicle_state.sourceTypeID, sourecetypepopul ation.sourceTypeFraction, VMT.SourceTypePopulation, ratepervehicle_state.poll utantID, ratepervehicle_state.SumOfratePerVehicle, First(VMT .BudgetAreaPop) AS FirstOfBudgetAreaPop, ((Nz([VMT]![sourceTypePopulation]*[sourceTypeFracti on],0)/24)) AS STPop, Nz([VMT]![sourceTypePopulation]*[sourceTypeFraction ]*[SumOfratePerVehicle],0) AS emissionsVehicle, Nz(([VMT]![sourceTypePopulation]*[sourceTypeFractio n]*[SumOfratePerVehicle])* 365,0) AS AnnualemissionsVehicle FROM sourecetypepopulation INNER JOIN (ratepervehic le_state INNER JOIN VMT ON (ratepervehicle_state.yearID = VMT.yearID) AND (rat epervehicle_state.StateID = VMT.stateID)) ON (sourecetypepopulation.sourceTyp eID = ratepervehicle_state.sourceTypeID) AND (sourecetype population.stateID = ratepervehicle_state.StateID) GROUP BY VMT.stateID, VMT.County, ratepervehicle_st ate.yearID, ratepervehicle_state.monthID, ratepervehicle_state. hourID, ratepervehicle_state.sourceTypeID, sourecetypepopul ation.sourceTypeFraction, VMT.SourceTypePopulation, ratepervehicle_state.poll utantID, ratepervehicle_state.SumOfratePerVehicle;

# 53 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



## 5.3 Ramp Emissions Ramp emission rates, calculated as discussed in Sec tion 3, are multiplied by ramp VMT in each county, year and source type. This query is shown in Table 33.

Table 33: Ramp Emissions Query

SELECT VMT.stateID, VMT.County, VMT.yearID, hourvmt fraction.hourID, hourvmtfraction.sourceTypeID, hourvmtfraction.hourVMTFraction, ramp_rate.pollutan tID, VMT.[Ramp VMT], ([Ramp VMT]*[hourVMTFraction])/13 AS HourlyRampVMT, ramp_r ate.ramprate, [HourlyRampVMT]*[ramprate] AS RampEmissions, ([HourlyRampVMT]*[ramprate])*340 AS RampEmissionsAnnual FROM hourvmtfraction INNER JOIN (VMT INNER JOIN ram p_rate ON (VMT.stateID = ramp_rate.StateID) AND (VMT.yearID = ramp_rate.yearID)) ON hourvmtfrac tion.hourID = ramp_rate.hourID WHERE (((hourvmtfraction.roadTypeID)=4)) ORDER BY VMT.stateID, VMT.County, VMT.yearID, hourv mtfraction.hourID, hourvmtfraction.sourceTypeID, ramp_rate.pollutantID ;



## 5.4 Summarizing Results Distance-based emissions by source type, vehicle-ba sed emissions by source type, and ramp emissions by source type are summed by county, year and pollu tant. This query is shown below. This is also where criteria may be set for limiting the results by state, county, year or pollutant. A sum of VMT and source type population is also useful as a verifica tion that all steps were run properly. The appropr iate monthID criteria should be set here. The annual av erage temperature profile is contained in April (monthID=4). July (monthID=7) should be used for summer weekday emissions.

Table 34:Results Query

SELECT EmissionsDistance_bySourceType.State, Emissi onsDistance_bySourceType.County, EmissionsDistance_bySourceType.yearID, EmissionsDis tance_bySourceType.pollutantName, Sum(EmissionsDistance_bySourceType.SumOfDailyVMT) A S SumOfSumOfDailyVMT, Sum(RampEmissions_Query.HourlyRampVMT) AS SumOfHour lyRampVMT, Sum(EmissionsDistance_bySourceType.SumOfAnnualizedV MT) AS SumOfSumOfAnnualizedVMT, First(EmissionsVehicle_Query.SourceTypePopulation) AS FirstOfSourceTypePopulation, Sum(EmissionsDistance_bySourceType.SumOfEmissionsDi st) AS SumOfSumOfEmissionsDist, Sum(Nz([emissionsVehicle],0)) AS EmissionsVeh, Sum( RampEmissions_Query.RampEmissions) AS SumOfRampEmissions, Sum(EmissionsDistance_bySourceT ype.SumOfAnnualEmissionsDist) AS SumOfSumOfAnnualEmissionsDist, Sum(Nz([Annualemissi onsVehicle],0)) AS AnnualEmissionsVeh, Sum(RampEmissions_Query.RampEmissionsAnnual) AS Sum OfRampEmissionsAnnual, (([SumOfSumOfEmissionsDist]+[EmissionsVeh]+[SumOfHo urlyRampVMT])/1000)*0.001102 AS DailyEmissionsTONS, (([SumOfSumOfAnnualEmissionsDist]+[AnnualEmissionsV eh]+[SumOfRampEmissionsAnnual])/1000)*0.0 01102 AS AnnualEmissionsTONS, Sum([RampEmissions_Query]![HourlyRampVMT]+[Emission sDistance_bySourceType]![SumOfDailyVMT] ) AS AllVMT

# 54 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop MOBILE Source Emissions



### FROM (EmissionsDistance_bySourceType LEFT JOIN Emis sionsVehicle_Query ON (EmissionsDistance_bySourceType.pollutantID = Emiss ionsVehicle_Query.pollutantID) AND (EmissionsDistance_bySourceType.sourceTypeID = Emis sionsVehicle_Query.sourceTypeID) AND (EmissionsDistance_bySourceType.hourID = EmissionsV ehicle_Query.hourID) AND (EmissionsDistance_bySourceType.monthID = Emissions Vehicle_Query.monthID) AND (EmissionsDistance_bySourceType.yearID = EmissionsV ehicle_Query.yearID) AND (EmissionsDistance_bySourceType.County = EmissionsV ehicle_Query.County)) INNER JOIN RampEmissions_Query ON (EmissionsDistance_bySourceT ype.County = RampEmissions_Query.County) AND (EmissionsDistance_bySourceType.yearID = RampEm issions_Query.yearID) AND (EmissionsDistance_bySourceType.hourID = RampEmissi ons_Query.hourID) AND (EmissionsDistance_bySourceType.sourceTypeID = Ramp Emissions_Query.sourceTypeID) AND (EmissionsDistance_bySourceType.pollutantID = RampE missions_Query.pollutantID) GROUP BY EmissionsDistance_bySourceType.State, Emis sionsDistance_bySourceType.County, EmissionsDistance_bySourceType.yearID, EmissionsDis tance_bySourceType.pollutantName, EmissionsDistance_bySourceType.monthID, EmissionsDi stance_bySourceType.pollutantID HAVING (((EmissionsDistance_bySourceType.monthID)=4 ));

# APPENDIX G

Indiana Department of Environmental Management (IDEM) – Area Source Inventory Standard Operating Procedure

### This page left intentionally blank.

### Area Source Inventory S-006-OAQ-R-MO-08-S-R1 

# Standard Operating Procedure

Office: Office of Air Quality Branch: Air Programs Branch Section: Technical Support and Modeling Section

Revised: 02/27/2008 Revision Cycle: 2 years Effective date: 02/15/07

Scope of operations This SOP is to identify source categories and develop emissions not calculated in point source inventories. This data is compiled ev ery three years as mandated by EPA.

Scope of applicability This SOP is for the Senior Environmental Manager and the Environmental Manager in the Emissions Group.


### Authorized Signatures I approve and authorize this Standard Operating Procedure:Area Source Inventory S-006-OAQ-R-MO-08-S-R1


### Table of Contents Scope of operations ....................................................................................................................................1 Scope of applicability .................................................................................................................................1 Authorized Signatures

............................................................................................................................... .1 1. Overview work flow chart .......................................................................................................................3 2. Definitions ................................................................................................................................................3 3. Roles .........................................................................................................................................................4 Responsibilities: .........................................................................................................................................4 4. Description of equipment, forms, and/or software to be used ...........................................................4 5. Procedure ................................................................................................................................................4 5.1 Procedural Flowchart ....................................................................................................................4 5.2 Procedure .......................................................................................................................................5 6. Standards and checklists .....................................................................................................................24 7. Records Management ...........................................................................................................................24 8. Quality Assurance / Quality Control ...................................................................................................25 9. Continuous Improvement Cycle ..........................................................................................................25 10. References

............................................................................................................................... ............25 11. History of Revisions ...........................................................................................................................25 12. Appendices

............................................................................................................................... ...........25

2Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 1. Overview work flow chart The process described is not part of a larger syst em and does not need an Overview work flow chart.



### 2. Definitions

AP-42 – Compilation of Air Pollutant Emission Factors AP- 42, Fifth Edition, Volume I: Stationary Point and Area Sources (January 1995) plus Supplements A – F (Updates 2001 – 2004). AP-42 can be obtained at www.epa.gov/ttn/chief/ap42/

.

Area Sources

- A collection of similar emission units within a geographic area that collectively represent individual sources that are small and numerous and ha ve not been inventoried as a specific point, mobile, or biogenic source.

Authorized - Established by official authority and usage; as with a policy, standard operating procedure (SOP), or quality assurance project pl an (QAPP) that is signed and dated.

EIIP (Emission Inventory Improvement Program) - The EIIP is an EPA program established in 1993 to promote the development and use of standard procedures for collecting, calculati ng, storing, reporting, and sharing air emissions date.

Emission Factors - An emission factor is the estimate of the quantity of pollutant released to the atmosphere (because of some operation or activity such as combustion or industrial production) divided by the level of that activity.

Process

- The term “process” used when describing area sources is used to name an operation or activity that produces emissions.

NEI - National Emission Inventory Air Pollutant Emission Trends, U.S. EPA.

Standard Industrial Classification (SIC) Code

- A Standard Industrial Classification code from the series of codes devised by the United States O ffice of Management and Budget (OMB) to classify establishments according to the type of economic activity in which they engage.

Source Classification Code (SCC)

- Source Classification Code is a process-level code that describes the equipment or operation emitting pollutants.

3Area Source Inventory S-006-OAQ-R-MO-08-S-R1


### 3. Roles

Title # of Staff Experience Qualifications Location

Senior Environmental Manager 1 N/A MS ACCESS, Emission Inventories and familiarity with the EIIP Air Programs Branch

Environmental Manager 1 N/A MS ACCESS, Emission Inventories and familiarity with the EIIP Air Programs Branch

Responsibilities:

Senior Environmental Manager Oversees work of the Environmental Manager and ensures that all goals are met. The Senior Environmental Manager also does the final upload to the NEI.

Environmental Manager The Environmental Manager calculates the Area Source Emissions using the EIIP or other EPA guidance as provided. The Environmental Manager is also responsible for updating the SOP for the Emissions Group.



### 4. Description of equipment, forms, and/or software to be used

Equipment, Form, &/or Software Who uses it? Location

AP42 Senior Environmental Manager and Environmental Manager EPA’s website: http://www.epa.gov/ttn/chief/ap42/index. html Emission Inventory Improvement Program (EIIP) Senior Environmental Manager and Environmental Manager EPA’s website: http://www.epa.gov/ttn/chief/eiip/techrep ort/

National Emission Inventory (NEI) Air Pollutant Emission Trends, U.S. EPA Senior Environmental Manager and Environmental Manager EPA’s website http://www.epa.gov/ttn/chief/trends/



### 5. Procedure

5.1 Procedural Flowchart The procedural flowchart below titled “Area Source Inventory” is us ed to calculate non-point source inventories. This data is compiled every three years as mandated by EPA. The guidance followed is located in the EIIP. Emissions from area source s are calculated at the county level and consist of individual sources that are small, numerous and that have not been inventoried as specific point, mobile, or biogenic sources according to the EIIP.

YES

NO Identify Categories Is the categor y an Area Source?

Then calculate emissions using the SOP for Receiving Emission Statements or the SOP

for On-Road Mobile Source Inventory Calculate Area Source categories using the EIIP or other EPA guidance as provided Enter data into NEI

4Area Source Inventory S-006-OAQ-R-MO-08-S-R1

5.2 Procedure 

### Category 1: Stationary Fuel Combustion

Sub-Category 1.1: Industrial Fuel Combustion

SCC: 2102002000, 210200400, 2102005000, 2102006000, 2102007000

Follow these steps when calculating emissions from industrial fuel combustion:

1. Obtain statewide fuel consumption for “Other Indu strial” for the following f uels: coal, distillate oil, natural gas, and liquefied petroleum gas (LPG). Us e the Energy Information Administration’s website at http://www.eia.doe.gov/ to find fuel consumption.

Note: As of the date of this SOP, the followin g steps will lead to data for fuel consumption.

a. Go to http://www.eia.doe.gov/ b. Click on link for the various types of fuel consumption c. Click on consumption tab for state totals

2. To avoid double calculating the various fuel comb ustions, subtract reported source totals from the total statewide fuel consumption by querying the to tal process rates for the various SCC codes using the ACCESS data tables at K:\OAQ_INV\Steptool\Stp tl_02.mdb. The remaining number is the area source fuel consumpt ion for the state.

3. To distribute the remaining fuel to the county leve l, calculate the ratio of county to state employment for the manufacturing sector by dividing the numbe r of Manufacturing Employees for each county by the number of manufacturing employees statewide. Use the County Business Patterns website at http://www.census.gov/ to find the number of manufacturing employees for each county.

Note: As of the date of this SOP, the followin g steps will lead to data for Economic Census.

a. Go to http://www.census.gov/ b. Click on Economic Census c. Under 2002 Reports by State, use the down arrow key to select Indiana d. Now, select each of the counties to find the county manufacturing employees e. Use the total of employees for manuf acturing under the paid employees’ column

4. Multiply the ratio calculated above in step 3 by t he area source fuel consumpt ion to distribute the fuel to the county level. The remaining number is the pr ocess rate for each county. Multiply the process rate by the appropriate EPA emission factors for t he various fuels for industrial manufacturing found in AP-42, Fifth Edition, Volume 1, Chap ter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

. Sub-Category 1.2: Commercial/ Institutional Fuel Combustion

SCC: 2103004000, 2103005000, 2103006000, 2103007000

Follow these steps when calculating emissions fr om commercial/institutional fuel combustion:

1. Obtain statewide fuel consumption for “Commercial” for the following fuels: distillate fuel oil, liquefied petroleum gas (LPG), natural gas, and residual fuel oil. Use the Energy Information Administration’s website at http://www.eia.doe.gov/ to find fuel consumption.

Note: Use the steps in sub-category 1.1-1 to navigate through the Energy Information Administration’s website.

5Area Source Inventory S-006-OAQ-R-MO-08-S-R1 2. To avoid double calculating the various fuel comb ustions, subtract reported source totals from the total statewide fuel consumption by querying the to tal process rates for the various fuels using the SIC codes greater than 49 99 using the ACCESS data tables at K :\OAQ_INV\Steptool\Stptl_02.mdb. These are the SIC codes that identify all t he commercial/institutional area sources.

3. To distribute the remaining fuel to the county leve l, calculate the ratio of county to state employment for the commercial/institutional sector by dividi ng the number of commercial/ institutional employees for each county by the number of commercial/instit utional employees statewide. Use the County Business Patterns website at http://www.census.gov/ to find the number of commercial/institutional employees for each county.

Note: Use the steps in sub-category 1.1-3 to navi gate through the U.S. Census Bureau’s website.

4. Multiply the ratio calculated above in step 3 by t he area source fuel consumpt ion to distribute the fuel to the county level. The remaining number is the process rate for each county. Multiply the process rate by the appropriate EPA emission factors for t he various fuels for commercial/institutional found in AP-42, Fifth Edition, Volume 1, Chapter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

.

Sub-Category 1.3: Residential Fuel Combustion

SCC: 2104002000, 2104004000, 2104006000, 2104007000

Follow these steps when calculating emissions from residential fuel combustion:

1. Obtain statewide fuel consumpti on for “Residential” for the following fuels: coal, distillate oil, natural gas, and liquid petroleum gas. Use the Ener gy Information Administration’s website at http://www.eia.doe.gov/ to find fuel consumption.

Note: Use the steps in sub-category 1.1-1 to navigate through the Energy Information Administration’s website.

2. To distribute residential fuel to the county level, calculate the ratio of county fuel usage to statewide fuel usage using the breakdown of fuels by house hold per county divided by the breakdown of fuels by household per state using the U.S. Census Bureau’s website at http://www.census.gov/

. Note: As of the date of this SOP, the following steps will lead to data for breakdown of fuels by household.

a. Go to http://www.census.gov/ b. On the left hand side click on “American Fact Finder” c. Using the drop down menu, click on Indiana d. Scroll to “Housing Characterist ics” and select “show more” e. On the left hand side, select “chan ge geography (state, county, place...)” f. Using the drop down menu, select county, state, and each county name to obtain housing

information

3. Multiply the ratio calculated abov e in step 3 by the area residential f uel use by state to distribute the fuel to the county level. The remaining number is the process rate for each county for the various fuels. Multiply the process rate by the approp riate EPA emission factors fo r the various fuels for residential found in AP-42, Fifth Edition, Volume 1, Chapter 1 External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

.

6Area Source Inventory S-006-OAQ-R-MO-08-S-R1 Sub-Category 1.4: Residential Heating Using Wood

SCC: 2104008001, 2104008002, 2104008003, 2104008004, 2104008010, 2104008030, 2104008050

Follow these steps when calculating emission s from residential heating using wood:

1. Obtain statewide wood consumption for “Residential” using the Energy Information Administration’s website at http://www.eia.doe.gov/ . To convert the statewide wood consumption from cords of wood consumed to tons, multiply the total cords consumed by 1.25.

Note: As of the date of this SOP, the followin g steps will lead to data for wood consumption.

a. Go to http://www.eia.doe.gov/ b. Click on Households, Buildings & Industry c. Under Consumption Summaries, click on “Annual” d. Now, over to the right click on “State Energy” e. Using the drop down menu at the bottom, select “Indiana” f. Under “Consumption” click on the “Residential” document

2. Using the ratio estimates provided by EPA found in the “Documentation For The Final 2002 NONPOINT SECTOR (FEB 06 version) NATION AL EMISSIONS INVENTORY FOR CRITERIA AND HAZARDOUS AIR POLLUTANTS” at http://www.epa.gov/ttn/chief/net/ 2002inventory.html#documentaiton the number calculated above in step 1 is broken out into three categories (fireplac e without inserts, fireplaces with inserts and woodstoves).

3. To distribute to the county level for the three ca tegories above, calculate a ratio of county to state using the statewide total of households and the count y total of households that burn wood found at the U.S. Census Bureau website http://www.census.gov/ . The remaining number is the process rate for each county. Multiply the pr ocess rate by the appropriate EPA em ission factors fo r each of the categories using the EIIP, Volume 3, Ch apter 2, Residential Wood Combustion at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii02_apr2001.pdf

. Note: Use the steps in sub-category 1.3-2 to navigate through the Energy Information Administration’s website. 

### Category 2: Industrial Processes

Sub-Category 2.1: Bakeries

SCC: 2302050000

Follow these steps when calculating emissions from bakeries:

1. Calculate a per capita consumption factor using the reported weight of yeast–raised product reported under the Bread, Cake, and Frozen Bakery Products from the Economic Census Bureau at http://www.census.gov/econ/census02/ and the U.S. population at the U.S. Census Bureau at http://census,gov/

. Note: As of the date of this SOP, the following steps will lead to data for yeast-raised product.

a. Go to http://www.census.gov b. Under Business & Industry open “Economic Census” c. Now open “Subject Series” d. Under Manufacturing, open the table “Product Summary” e. Use the yeast – raised product under Commercial Bakeries (NAICS code 311812) and Frozen cakes, pies, and other pastries manufacturing (NAICS code 311813)

7Area Source Inventory S-006-OAQ-R-MO-08-S-R1

2. Multiply the per capita consumption factor ca lculated above in step 1 by the Indiana population found at the U.S. Census Bureau at http://www.census.gov

. Note: As of the date of this SOP, the foll owing steps will lead to Indiana population data.

a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana

3. To avoid double calculating the amount consumed for the state, subtract the reported process rate for both the straight-dough and sponge-dough by queryi ng the total process rates for the SCC 30203202 (straight-dough) and SCC 30203201 (sponge-do ugh) using the ACC ESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb.

4. Multiply the remaining process rate by the strai ght-dough emission factor of .5 lbs VOC/1,000 pounds baked found in the EIIP, Volume 3, Area Source Me thod Abstracts: Baked Goods at Commercial/Retail Bakeries at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

. 5. Calculate a per capita factor by dividing the I ndiana population found in step 2 by the remaining process rate. Now multiply the per capita factor by each of the county populations to calculate the VOC emissions for each county.

Note: As of the date of this SOP, the fo llowing steps will lead to county population data.

a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana c. Under “View more results”, select the county table


### Category 3: Solvent Utilization

Sub-Category 3.1: Architectural Coatings

SCC: 2401001000

Follow these steps when calculating emissions from architectural coatings:

1. Calculate an emission factor for architectural coating area sources first by adding all the solventbased paints together and all the water based paint s together using the U.S. Census Bureau’s website http://www.census.gov . Use Table 1 to select all solvent-based paints and Table 2 to select all water based paints.

Table 1 National Solvent Coating Sales Solvent Type 1,000 gallons Exterior Solvent Type XX Interior Solvent Type XX Architectural Lacquers XX

Architectural Coating N.S.K. XX Total Solvents XX

Table 2 National Water Based Coating Sales Water Type 1,000 gallons Exterior Water Type XX Interior Water Type XX Total Water Type XX

8Area Source Inventory S-006-OAQ-R-MO-08-S-R1
Note: As of the date of this SOP, the followin g steps will lead to architectural coating data.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report “Paints and Allied Products”

2. Now multiply the total national number for solvent -based paints by the average solvent-based coating content number (3.87 lbs VOC/gallon) and the total national number for water-based paints by the average water-based coating content number (0. 74 lbs VOC/gal) found in the EIIP, Volume 3, Chapter 3: Architectural Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/archsfc.pdf

. 3. Add the total solvent-based coatings and the water-based paints together for a total national VOC emission factor from architectural surface coatin g. Then divide this number by the total national population using the U.S. Census Bureau’s website http://www.census.gov

. 4. Multiply the number calculated abov e in step 3 by each of the county populations to calculate the total emissions per county.

Note: Use the steps in sub-category 2.1-5 to navigate through the Census Bureau’s website.

Sub-Category 3.2: Automobile Refinishing

SCC: 2401005000

Follow these steps when calculating emissions from automobile refinishing:

1. To avoid double calculating, first query the empl oyees from the reported sources using the SIC 7532- Body Repair and Paint Shops using the ACCESS data t ables at K:\OAQ_INV\Steptool\Stptl_02.mdb. Subtract this number from the coun ty employment for the same SIC using the U.S. Census Bureau’s website http://www.census.gov

. Note: As of the date of this SOP, the foll owing steps will lead to county employment data.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select the County Business Patterns report for county d. Select Indiana e. Select each of the counties to find the number of employees for the corresponding SIC or NAICS code

2. Multiply the emission factor 3, 519 lbs VOC/employee found in the EIIP, Volume 3, Chapter 13 Auto Body Refinishing at http://www.epa.gov/ttn/chief/eiip /techreport/vol ume03/archsfc.pdf and the county employment found above in step 1 to calcul ate the VOC emissions for each county.

Sub-Category 3.3: Traffic Markings

SCC: 2401008000

Follow these steps when calculating for traffic markings:

1. First calculate the national emissions by finding t he amount of sales for traffic marking paints from the U.S. Census Bureau’s website http://www.census.gov and multiply 3.36 lb VOC/gallon the national average VOC content for water and solvent-based paint s from the EIIP, Volume 3, Chapter 14, Traffic Markings at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii14.pdf

.

9Area Source Inventory S-006-OAQ-R-MO-08-S-R1
Note: As of the date of this SOP, the foll owing steps will lead to traffic marking paints.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report “Paints and Allied Products” f. Use the quantity amount in 1000/gallons under “Tra ffic marking paints (all types: shelf goods and

highway department)

2. Allocate the national emissions calculated above in step 1 to the state level by dividing the amount of money spent in Indiana by the money spent nationally on highway maintenance using the category “Total Disbursements” at the Federal Highway Administration’s website http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/sf2.htm

. 3. Calculate the emission factor for Indiana by divi ding the state level emissions by the total number of roadway miles in Indiana, given by contacting the Program Development Division, Highway Statistics, Indiana Department of Transportation or the Office of Air Quality, Technical Support and Modeling Section’s mobile inventory preparer.

4. Multiply the emission factor by the total number of roadway miles in each county using the information supplied from above in step 3.

Sub-Category 3.4: Industrial Surface Coating (employment based emission factor)

SCC: 2401015000, 2401020000, 2401030000, 2401040000, 2401045000, 2401055000, 2401060000, 2401065000, 2401070000, 2401075000, 2401080000

Follow these steps when calculating for industrial surface coating using the employment based emission factor:

1. Calculate an employee based emission factor for t he following SIC’s in the table below running a query to find the point source employment for each of the SIC’s and the reported VOC emissions for each using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb.

SCC Description SIC’s

2401015000 Factory Finished Wood 2426-2429,243-245, 2492, 2499

2401020000 Wood Furniture 25

2401030000 Paper Coating 26

2401040000 Metal Cans * 341

2401045000 Metal Coils * 3479

2401055000 Machinery and Equipment 35

2401060000 Appliances * 363

2401065000 Electronic and Other Electrical 3612, 3357

2401070000 New Motor Vehicles ** 3711

2401075000 Other Transportation 37 (not 3711, 373)

2401080000 Marine Coatings 373

10Area Source Inventory S-006-OAQ-R-MO-08-S-R1

* Use the National default emission fact or because the reporting sources are low. ** Emissions reported in point source

2. Divide the reported VOC emission s for each of the SIC’s by the re ported employment for each SIC. Use this number for the emission factor.

3. Subtract the number of report ed employees found in step 1 from each of the SIC county totals using the U.S. Census Bureau’s website http://www.census.gov . Use the remaining number for the process rate for each of the counties.

Note: Use the steps in sub-category 3.2-1 to navigate through the County Business Patterns.

4. Multiply the process rates above f ound for each of the SIC’s in step 4 by the emission factors found in step 3 to allocate the emissions to each of the counties.

Sub-Category 3.5: Industrial Surface Coating (default emission factor)

SCC: 2401090000, 2401100000, 2401200000

Follow these steps when calculating emissions from i ndustrial surface coating using the default emission factor:

1. Calculate industrial surface coat ing emissions using the default emission fa ctor in the EIIP, Volume 3, Chapter 8, Industrial Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii08.pdf and multiply by the county populations found at the U.S. Census Bureau’s website http://www.census.gov

. Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website.

SCC’s Description Default Emission Factor

24-01-090-000 Miscellaneous Manuf acturing 0.600 lbs VOC/person

24-01-100-000 Industrial Maintena nce Coatings 0.800 lbs VOC/person

24-01-200-000 Other Special Pur pose Coatings 0.800 lbs VOC/person

Sub-Category 3.6: Degreasing

SCC: 2415230000, 2415245000, 2415345000, 2415360000

Follow these steps when calculating emissions from degreasing activities:

1. Use the U.S. Census Bureau to find employment numbers for each of the counties for the categories in Table 1 below at http://www.census.gov

. Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website.

Source Classification Codes and Industries Associated with Degreasing SCC SIC Description 2415230000 36 Electronic and other electronic equipment
25 Furniture and fixtures 33 Primary metal industries 34 Fabricated metal products 35 Industrial machinery and equipment 37 Transportation equipment 38 Instruments and related products

11Area Source Inventory S-006-OAQ-R-MO-08-S-R1

39 Miscellaneous manufac turing industries
417 Bus Terminal and Service Facilities 423 Trucking terminal facilities 551 New and used car dealers 552 Used car dealers 554 Gasoline service stations
555 Boat dealers 556 Recreational vehicle dealers 2415245000

753 Automotive repair shops 25 Furniture and fixtures
33 Primary metal industries 34 Fabricated metal products 35 Industrial machinery and equipment 36 Electronic and other electronic equipment 37 Transportation equipment 38 Instruments and related products 2415345000

2415345000 cont. 39 Miscellaneous manufac turing industries 417 Bus Terminal and Service Facilities 423 Trucking terminal facilities 551 New and used car dealers 552 Used car dealers 554 Gasoline service stations 555 Boat dealers 556 Recreational vehicle dealers 2415360000

753 Automotive repair shops

2. Run a query to find reported employment numbers for each of the categories in the table above using the ACCESS data tables at K:\O AQ_INV\Steptool\Stptl_02.mdb.

3. Subtract the reported employment from the U.S Census Bureau’s numbers to find the process rates for each of the counties.

4 Calculate the VOC emissions by mult iplying the default emission factor in the EIIP, Volume 3, Chapter 6, Solvent Cleaning at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii06fin.pdf and the process rate for each of the counties found in step 3.

Sub-Category 3.7: Dry Cleaners

SCC: 2420010370

Follow these steps when calculating emissions from dry cleaners:

1. Calculate an emission factor by finding the numbe r of employees state wide and county wide for SIC 7216(Laundry and Garment Services) at the U.S. Census Bureau’s website http://www.census.gov

. Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website

2. Take the sum of the employment from the coun ties, multiply by 2000, and divide by the statewide total found in step 1. Use this number for the emission factor.

3. Calculate the process rate by running a query to find the number of reported employees for SIC 7216 using the ACCESS data tables at K:\OAQ_INV\St eptool\Stptl_02.mdb and subtract this number from the county total.

4. Multiply the process rate for each of the counties above by the em ission factor to calculate for VOC emissions.

12Area Source Inventory S-006-OAQ-R-MO-08-S-R1 Sub-Category 3.8: Graphic Arts

SCC: 2425000000

Follow these steps when calculating emissions from graphic arts activities:

1. Multiply the per capita factor found in the EIIP, Volume 3, Chapter 7, Graphic Arts at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii07.pdf by the state population from the Census Bureau http://www.census.gov to find the total emissions for the state.

Note: Use the steps in 2.1-2 to navigate th rough the U.S. Census Bureau’s website.

2. Develop an emission factor by subtracting point source emissions from the total emissions and dividing by the state pop ulation found in step 1.

3. Distribute to the counties by multiplying the emission factor by the population for each county.

Note: Use the steps in 2.1-5 to navigate th rough the U.S. Census Bureau’s website.

Sub-Category 3.9: Rubber and Plastics

SCC: 2430000000

Follow these steps when calculating emissions from rubber and plastics activities:

1. Run a query to find the total of reported emissi ons and number of reported employees for all SIC’s beginning with 30 using the ACCESS data tabl es at K:\OAQ_INV\Steptool\Stptl_02.mdb.

2. Calculate the emission factor by dividing the point source emissions by the reported employees.

3. Subtract the reported employment for SIC’s beginning with 30 from total employment for each of the counties.

Note: Use step 3.2-1 to navigate through the County Business Patterns.

4. Multiply the remaining number from above with the emission factor calculated in step 2.

Sub-Category 3.10: Miscellaneous Industrial Adhesives

SCC: 2440020000

Follow these steps when calculating emissions from industrial adhesives activities:

1. Using the guidance in the Ai r Pollutant Emission Trends at http://www.epa.gov/ttn/chief/trends

, calculate an emission factor by finding the total National Emissions from Industrial Adhesives and divide by the National Manufacturing Employm ent from the U.S. Census Bureau’s website http://www.census.gov

. Note: As of the date of this SOP, the following st eps will lead to emission trends data for industrial adhesives.

a. Go to http://www.epa.gov/air /airtrends/aqtrnd03/ b. Select “Appendix A –Data Tables” c. Search for industrial adhesives

Note: As of the date of this SOP, the following steps will lead to National Manufacturing Employment.

a. Go to http://www.census.gov

13Area Source Inventory S-006-OAQ-R-MO-08-S-R1

b. Select Economic Census c. Now select “Businesses with paid employees” d. Use the manufacturing number under “paid employees”

2. To avoid double calculating, run a query collecting sources re porting adhesives using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb. Subtract the reported employment from the total amount of manufacturing employment. The remaining number is the process rate.

Sub-Category 3.11: Commercial/Consumer Solvents

SCC: 2460100000, 2460200000, 2460400000, 2460500000, 2460600000, 2460800000, 2460900000

Follow these steps when calculating emissions from commercial/consumer solvent usage:

1. Using the EIIP, Volume 3, Chapter 5, Consumer, and Commercial Solvent Use at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii05.pdf , multiply the per capita factors for each of SCC codes by the population for each county from the U.S. Census Bureau’s website http://www.census.gov

. Note: Use the steps in 2.1-5 to navigate through the U.S. Census Bureau’s website.

Emission Factors for Commercial/Consumer Solvents

Source Classification Codes Product Category Per Capita Emission Factor (lb VOC/person)

2460100000 Personal Care Products 2.32

2460200000 Household Products 0.79

2460400000 Automotive Aftermarket Products 1.36

2460500000 Coatings and Related Products 0.95

2460600000 Adhesives and Sealants 0.57

2460800000 FIFRA-Regulated Products 1.78

2460900000 Miscellaneous Products 0.07

Sub-Category 3.12: Asphalt Emulsions

SCC: 2461022000

Follow these steps when calculating emissions from asphalt emulsions:

1. To calculate the process rate, find the number of barrels of asphalt used for the state found at the State Energy Data website at http://www.eia.doe.gov/emeu/states/_seds_updates.html

. 2. Obtain the amount of roadway miles for the st ate and county from the Indiana Department of Transportation’s, Division of Roadway Management Section.

3. Divide the county roadway miles by the state roadw ay miles and multiply by the total asphalt usage for the state found above in step 1.

4. Multiply the process rate by the default emission factor in the E IIP, Volume 3, Chapter 17, Asphalt Paving http://www.epa.gov/ttn/chief/eiip/te chreport/volume03/ iii17_apr2001.pdf

.

14Area Source Inventory S-006-OAQ-R-MO-08-S-R1 Sub-Category 3.13: Pesticide Usage

SCC: 2461800000

Follow these steps when calculating emissions from pesticide usage:

1. Calculate pesticide usage by using a state spec ific emission factor. Develop the factor using a methodology that includes the retrieval of informat ion of pesticides used, an emission factor for each pesticide used, a calculation about the inert ingredien ts in each pesticide, and an estimate of the amount of crop oil concentrate (an adjuvant used for the application of herbicides) used in the state of Indiana.

2. Find the amount of active ingredients for herbicides and insecticides applied to Indiana fields at the Indiana Agricultural Statistics Service at http://www.usda.gov/nass/pubs/agr02/acro02.htm

. 3. Insert the numbers for both corn and soybeans to the Excel pesticide table found at K:OAQ_INV\Inv\pesticide.

4. Calculate the emission factor by adding the emis sions from crop oil concentrates obtained in the pesticide Excel table, pesticides, and solvent carrie rs and then divide by the total number of acres of corn and soybeans in Indiana found at the National Agricultural Statistics Services, United States Department of Agriculture http://www.nass.usda.gov/QuickStats/

. 5. Multiply the emission factor by the county-specific acreage for both corn and soybeans found at the National Agricultural Statistics Services, United States Department of Agriculture http://www.nass.usda.gov/QuickStats/

. 

### Category 4: Petroleum Marketing

Follow these steps when calculating emissions for bulk terminals:

Sub-Category 4.1: Bulk Terminals

SCC: 2501050120

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewide and by county using, the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

. 3. Run a query to find the amount of point source reported gasoline using t he ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb and subtract from the amount sold statewide. Use this to allocate to each county.

4. Allocate the amount gasoline sold to each of the counties by dividing the amount of sales in each county by statewide sales and mult iplying by the number of gallons sold statewide found above in step 1.

5. EPA guidance suggests that only 25% of all gas oline consumed goes through bulk plants. To calculate process rate, multiply each county by 25% to estimate the amount of fuel transferred through bulk terminals.

6. Multiply process rate by the emission factors in the table below:

15Area Source Inventory S-006-OAQ-R-MO-08-S-R1

Emission Factors

Source Emission Factor (lb VOC/1000) gal Storage Tanks Breathing Loss 5.0
Storage Tank Working Loss - Filling 9.6

Storage Tank Working Loss - Emptying 3.8 Gasoline Loading Racks (Vapor balance controlled) 11.9 (0.3)

Total 30.3

7. Bulk terminals also have controls set forth in the Indiana rule (326 IAC 8-4). This rule says that any source of this type that is new after January 1, 1980 is required to make sure that any transfer between a tank and transport uses a submer ged pipe vapor balance system. Using EPA’s default rule effectiveness, multiply the number in step 2 by the Control Efficiency (CE) 38%, a Rule Effectiveness (RE) of 80%, and a Rule Penetration (RP) of 13%, i.e. process rate X emission factor X (1-(CE x RE x RP)) X 1 ton/2000 lb = VOC tons.

Sub-Category 4.2: Portable Fuel Containers

SCC: 2501011011, 2501011012, 2501011016, 2501012011, 2501012012, 2501012016

Follow these steps when calculating emi ssions for portable fuel containers:

1. Calculate the emissions for Commercial and Residential gas cans by using the method developed by the California Environmental Protection Agency’s docu ment Public Meeting to Consider Approval of California’s Portable Gasoline-Cont ainer Emissions Inventory. Use the excel spreadsheet found at K:\OAQ_INV\Inv\Area Source\Gasoline.zip to calcul ate the emissions for permeation, diurnal, and transport

. Both the Spillage and Vapor losses are esti mated in the nonroad emissions inventory by EPA models.

2. Using the survey results below in Table 1, esti mate the number of fuel containers in the state for residential categories. The calculations are set up in an excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCan s.xls, insert the number of oc cupied housing, from the U.S. Census Bureau’s website at http://www.census.gov/ , in the space marked “households”.

Note: As of the data of this SOP, the following steps will lead to number of households in Indiana.

a. Go to http://www.census.gov/ b. On the left hand side select American Fact finder c. Now select housing d. Under “Occupancy Status”, select occupies housing units e. Now use the drop down menu and select Indiana

Table 1 Residential Survey Results

Percentage of households with at least one gas can 46% Number of gas cans per household 1.8 Percentage of plastic cans/metal cans 76% / 24% Weighted average gas can capacity (gal) 2.34 Percentage of gas cans stored with fuel 70% Weighted average stored fuel volume (% of capacity) 49%

16Area Source Inventory S-006-OAQ-R-MO-08-S-R1

Percentage of all gas cans that are plastic and stored open/closed 23% / 53% Percentage of all gas cans that are metal and stored open/closed 11% / 13% Percent of all cans stored open/closed 34% / 66%

3. Using the survey results below in Table 2, esti mate the number of fuel containers for commercial categories for the state. Do this by using the commercial population based on the number of identified businesses in Table 3 and insert into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls.

Table 2 Commercial Survey Results

Percentage of businesses with at least one gas can 80% Number of gas cans per business 6.9 Percentage of plastic cans/metal cans 72% / 28% Weighted average gas can capacity (gal) 3.43 Weighted average stored fuel volume (% of capacity) 49% Percentage of all gas cans that are plastic and stored open/closed 39% / 33% Percentage of all gas cans that are metal and stored open/closed 10% / 18% Percent of all cans stored open/closed 49% / 51%

Table 3 Category NAICS Agricultural 115 Automotive Club and Towing Services 48841
Service Stations 8111
Lawn and Garden Maintenance Services 81141
General Contractors 23
Construction and Rental Yards 5324 Landscaping Services 561730

4. Calculate permeable emissions separately for bot h residential and commercial by using the emission rates given in the California document. Use 1.57g/gal /day for plastic contai ners and 0.6g/gal/day for metal containers. Insert the numbers for both resi dential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gaso line.zip\250101\GasCans.xls.

5. Calculate diurnal emissions by inserting the numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls.

6. Calculate transport spillage emissions by inserting the numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls

Sub-Category 4.3: Service Station Tank Loading or Tank Truck Unloading (Stage 1)

SCC: 2501060052 (uncontrolled), 2501060053 (controlled)

Follow these steps when calculating emissions from tank loading and unloading

1. Find the amount of gasoline sold in Indiana at the Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewide and county wide by using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

17Area Source Inventory S-006-OAQ-R-MO-08-S-R1

3. Run a query to find the amount of point source reported gasoline using t he ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb and subtract from the amount sold statewide. Use this to allocate to each county.

4. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

5. Find the amount of gasoline tank s from the Underground Storage Tank data files from the Office of Land Quality, Indiana Department of Environmental Management http://www.in.gov/idem/programs/land/ust/ust.html

. 6. Now copy the data into an Excel spreadsheet. Filt er finding the tanks that have only gasoline. Also filter out the tanks that are “permanently out of service”, “suspended per inspection”, and “unregulated”.

7. Using the Petroleum Sources Applicability Rule 326 IAC 8-4-1, filter out the t anks that are located in Clark, Boone, Dearborn, Elkhart, Floyd, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, Saint Joseph, and Shelby counties.

8. To find the amount of balanced tanks in Indiana, use the total of gasoline tanks found in step 7 and divide by the number of tanks that constructed after 1985 through current year. Use the spreadsheet created in step 7 and filter out the t anks that constructed prior to 1985.

9. Now apply the percentage found in step 8 to the amount of gasoline found in each county.

10. Apply the controlled emission factor to only those co unties identified in 326 IAC 8-4, i.e. Boone, Clark, Dearborn, Elkhart, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, Saint Joseph, and Shelby. Use the emission factor s for stage 1 controlled and uncontrolled in the EIIP, Volume 3, Chapter 11, Gasoline Marketing (Stage 1 and Stage 2) http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11_apr2001.pdf

.

Sub-Category 4.4: Vehicle Fueling (Stage II) – Vapor Displacement

SCC: 2501060101 (uncontrolled), 2501060102 (controlled)

Follow these steps when calculating emissions from vehicle fueling – Vapor Displacement:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

. 3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Calculate an emission factor using the input file s supplied from the mobile model. Table 1 and Table 2 show examples of how the emission factors fo r January and July for the Southern Counties were calculated. By using these two months, the other months are distributed. Use the average of all months for the emission factor for the Southern counties. Use the same methodology for the Northern counties, Central Countie s, Clark/Floyd, and Lake/Porter.

18Area Source Inventory S-006-OAQ-R-MO-08-S-R1

Table 1 January Run for Southern Counties

VTYPE GM_MILE MILES MPG VMT G/GAL Month Factor 1 0.0628 29.4642 23.89 0.463793 0.322719 1 1.01 2 0.1058 35.2923 18.77 0.070491 0.009868 2 1.14 3 0.1058 35.2923 18.77 0.234672 0.109364 3 1.28 4 0.1486 34.0851 14.31 0.071379 0.010834 4 1.41 5 0.1486 34.0851 14.31 0.032825 0.002291 5 1.55 6 0.2152 35.8919 9.88 0.028896 0.001775 6 1.69 7 0.2342 32.3617 9.08 0.001027 2.24E-06 7 1.82 8 0.2465 19.9098 8.63 0.000522 5.8E-07 8 1.69 9 0.2719 27.6093 7.82 0.001164 2.88E-06 9 1.55 10 0.2733 27.4686 7.78 0.002489 1.32E-05 10 1.41 11 0.2972 24.3758 7.15 0.001132 2.72E-06 11 1.28 12 0.3169 23.6257 6.71 0.000004 3.4E-11 12 1.14 25 0.3421 27.2301 6.22 0.000496 5.23E-07 Sum 16.97 0.456873 g/gal Average 1.41 1.007222 lb/E3gal

19Area Source Inventory S-006-OAQ-R-MO-08-S-R1

Table 2 July Run for Southern Counties VTYPE GM_MILE MILES MPG VMT G/GAL 1 0.1144 29.1752 23.9 0.456768 0.570447 2 0.1955 34.8826 18.75 0.071404 0.018689 3 0.1955 34.8826 18.75 0.237712 0.207133 4 0.2882 33.944 14.3 0.072838 0.021865 5 0.2882 33.944 14.3 0.033496 0.004624 6 0.4164 35.8288 9.9 0.029201 0.003515 7 0.4529 32.4716 9.1 0.001038 4.44E-06 8 0.4763 19.6757 8.66 0.000509 1.07E-06 9 0.5264 27.4602 7.83 0.00116 5.55E-06 10 0.5283 27.3328 7.8 0.002482 2.54E-05 11 0.5749 24.2458 7.17 0.001122 5.19E-06 12 0.6128 23.3718 6.73 0.000004 6.6E-11 25 0.6629 27.2301 6.22 0.000485 9.7E-07 0.826316 g/gal 1.821697 lb/E3gal

5. Multiply the process rate in step 4 by the emission factor found in the mobile model.

Sub-Category 4.5: Vehicle Fue ling (Stage II) – Spillage

SCC: 2501060103

Follow these steps when calculating emi ssions from vehicle fueling – Spillage:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

. 3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Apply the emission factor 0.7 lb VOC/1000 gallons in AP-42, Fifth Edition, Volume 1, Chapter 5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdf to the process rate found in step 4.

Sub-Category 4.6: Underground Tank Breathing

SCC: 2501060200

Follow these steps when calculating emi ssions from underground tank breathing:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

20Area Source Inventory S-006-OAQ-R-MO-08-S-R1 3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Apply the emission factor 1.0 lb VOC/1000 gallons in AP-42, Fifth Edition, Volume 1, Chapter 5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdf to the process rate found in step 4.

Sub-Category 4.7: Tank Trucks in Transit

SCC: 2505030120

Follow these steps when calculating emissions from tank trucks in transit:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

. 2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

. 3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Using the guidance in the EIIP, Volume 3, Chapt er 11, Gasoline Marketing (Stage I and State II) at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11_apr2001.pdf ), multiply the activity rate 1.25 by the amount sold per county found in step 4.

5. Now multiply the process rate found in step 5 by the emission factor .06 lb VOC/gallon transported using the EIIP guidance above. 

### Category 5: Waste Management Practices

Sub-Category 5.1: Solid Waste Incineration

5.1.1: Industrial Solid Waste Incineration

SCC: 2601010000

Follow these steps when calculating emissions from industrial solid waste incineration:

1. Find the number of manufacturing employees, NAICS code 31, for each county using the County Business Patterns at the U.S. Census Bureau’s website http://censtats.census.gov/c gi-bin/cbpnaic/cbpsel.pl

. Note: Use the steps in 3.2-1 to navi gate through the county business patterns.

2. Multiply the county manufacturing employment by the default fuel-loading factor 420 tons / 1,000 manufacturing employees.

3. Multiply the process rate in step 2 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

.

21Area Source Inventory S-006-OAQ-R-MO-08-S-R1

5.1.2: Commercial Solid Waste Incineration

SCC: 2601020000

Follow these steps when calculating emissions from commercial solid waste incineration:

1. Find the population for each county at the U.S. Census Bureau’s website http://www.census.gov/

. Note: Use steps 2.1-5 to navigate thr ough the U.S. Census Bureau’s website.

2. Next find the default factor of .65lb/person/day from U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

. 3. Find the percent of co mmercial solid waste from the U.S. EPA Municipal Solid Waste Report above.

4. Now, calculate the process rate for commercial solid waste incineration by multiplying population by the default factor of .65lb/person/day by the percent of commercial solid waste and number of days in a year.
5. Multiply the process rate in step 4 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

.
5.1.3: Residential Solid Waste Incineration

SCC: 2601030000

Follow these steps when calculating emissions from residential solid waste incineration:

1. Find the population for each county at the U.S. Census Bureau’s website http://www.census.gov/

. Note: Use step 2.1-5 to navigate through the U.S. Census Bureau’s website.

2. Next find the default factor of .65lb/person/day from U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

. 3. Find the percent of residential solid waste from the U.S. EPA Municipal Solid Waste Report above.

4. Now, calculate the process rate for residentia l solid waste incineration by multiplying population by the default factor of .65lb/person/day by the percent of commercial solid waste and number of days in a year.

5. Multiply the process rate in step 4 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

. Sub-Category 5.2: Residential Open Burning

5.2.1: Leaf and Brush Burning

SCC: 2610000100 and 2610000400

Follow theses step when calculating emissions from leaf and brush burning:

1. Find a per capita factor for l eaf burning and a per capita for brus h burning by using the U.S. EPA’s Solid Waste Report at http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

. 2. Allocate the amount burned by adjusting the per c apita factor for leaves at 25% and for brush at 25%. Of the total waste generated only 28% burns.

22Area Source Inventory S-006-OAQ-R-MO-08-S-R1 3. Once all the percentages from above are calculated, multiply the adjusted per capita factor by the rural population for each county from the U.S. Census Bureau at http://www.census.gov/

Note: As of the data of this SOP, the follow ing steps will lead to county rural population.

a. Go to http://www.census.gov/ b. On the left hand side, select American Fact Finder c. Select data sets d. Detailed tables e. County f. Indiana g. All counties

4 Use the table below to adjust the amount of wast e generated to account for the percentage of forest in each county. The percentages come from a doc ument from the United States Department of Agriculture at http://ncrs.fs.fed.us /pubs/rb/rb_nc253b.pdf

. Percent Forested Acres per County Adjusted for Yard Waste Generated

< 10% 0% generated >= 10%, and < 50% 50% generated
>= 50% 100% generated

5. Now, multiply the amount of leaves and brush by the emission factors found in AP-42, Fifth Edition, Volume 1, Chapter 2, Solid Waste Disposal, Table 2.5-5, and Table 2.5-6 at http://www.epa.gov/ttn/chief/ap42/ch02/final/c02s05.pdf

.
5.2.2: Residential Waste Incineration

SCC: 2610030000

Follow these steps when calculating emissions from for residential waste incineration:

1. Find a per capita factor for re sidential waste incinerati on by using the U.S. EPA’ s Solid Waste Report at http://www.epa.gov/epaoswer/non-hw /muncpl/pubs/mswchar05.pdf

. 2. Using the Solid Waste Report above, subtract the percentage of recycled and composted material from the per capita factor above.

3. Now, subtract the percentages of combustibles i.e. glass, metal, yard trimmings, and other waste.

4. Using a document from EPA, it states that only 28% of waste ge nerated by rural popul ation burns and of that percent, 49% is actually combusted. Using this information multiply the per capita factor by 0.28 and then multiply that number by 0.49 actually burned in rural counties.

5. Once all the percentages are calculated, multiply the adjusted per capita factor by the rural population for each county from the U.S. Census Bureau at http://www.census.gov/

. Note: Use steps 5.2.1-3 to find county rural population.

6. Calculate the amount of residentia l waste by the emission factors in the EIIP, Volume 3, Chapter 16, Open Burning at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

. Sub-Category 5.3: Public Owned Treatment Works (POTW’s)

SCC: 2630020000

Follow these steps when calculating emissions from POTW’s:

23Area Source Inventory S-006-OAQ-R-MO-08-S-R1

1. To calculate the amount of annual flow for public owned treatment works, obtain the amount of monthly flow rate for each county. This is data is supplied by the Office of Water Quality. To calculate for annual flow multiply the monthly flow by the default of 0.16 that represents the amount of industrial flow.

2. Calculate the process rate above by the em ission factors in FIRE 6.25 using the SCC code 2630020000.

Sub-Category 5.4: Treatment, St orage, and Disposal Facilities

SCC: 2640000004

Follow these steps when calculating emissions fr om treatment, storage, and disposal facilities:

1. Obtain a list of treatment facilities and the amount of ignitable waste from each facility from IDEM’s Office of Land Quality.

2. Using the list of facilities from step 1, run a query using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb to obtain the amount of ignitable waste reported to IDEM’s Office of Air Quality.

3. Compare the two lists obtained in step 1 and step 2, for each facility subtract any quantity reported to OAQ from the quantity reported to OLQ. Do this in order to avoid double counting quantities reported to both offices. Combine the quantities reported from facilities within the same counties. Use these quantities as the process rate for each county.

4. Multiply the process rate above with th e combined emission factor in the table below:

Emission Source Emission Factor in AP-42 (lb VOC/Ton) Emission Factor Used (lb VOC/Ton) Storage Tank Vent 0.004-0.09 0.09

Spillage (filling) 0.20 0.20 Loading (filling) 0.00024-1.42 1.42 Spillage (emptying) 0.20 0.20 Loading (emptying) 0.00024-1.42 1.42 Combined Emission Factor 3.33


### Category 6: Submit Data to EPA

Submit data in a format that is acceptable to EPA. At the present time the format is the National Emission Inventory (NEI).



### 6. Standards and checklists The Emission Reporting program does not have any chec klist for the Area Source Inventory at this time. The Emission Group does this electronically through an excel spreadsheet that is created when needed.


### 7. Records Management The Area Source Inventory files are kept el ectronically at K:\OAQ_INV\Inv\Area Source.

The Branch Contact for the Air Programs Branch a nd the Section contact for the Technical Support and Modeling Section will keep copies of the SOPs for the Technical Support and Modeling Section to be referenced as needed. An electronic copy will also be available on K:\OAQ_INV\SOPs.

24Area Source Inventory S-006-OAQ-R-MO-08-S-R1 

### 8. Quality Assuran ce / Quality Control Comparisons are made against the emissions estimates made by The U.S. EPA in the NEI.


### 9. Continuous Improvement Cycle A periodic review will be completed per updates and changes made to the EIIP.



### 10. References The Area Source Inventory is a requirement of 40 CF R Part 51 Subpart A - Emission Inventory Reporting Requirements.


### 11. History of Revisions

Date Month/day/year Revision Number Description

02/27/2008 1 Revised using new SOP template.



### 12. Appendices None

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