# Appendix A 2007 Attainment Year Inventory

# Appendix A-1 2007 Point Source EmissionsAPP_A-1_EGU

FIPS COUNTY FACNAME PLANTID POINTID STACKID SCC 24043 Washington R. Paul Smith Power Station 043-0005 3-0005 S1 10100202 Coal 1,334.772 402.205 0.000 92.600 24043 Washington R. Paul Smith Power Station 043-0005 3-0006 S2 10100212 Coal 4,201.002 996.206 0.000 217.500 AEO
FUEL SO2

2007 NOX

2007 NH3

2007 PRI25

2007APP_A-1_NonEGU

FIPS NONATTAIN FACNAME 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 17.611 33.103 58.869 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 4.931 5.535 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.778 0.133 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 25.055 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.417 0.045 0.001 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.143 1.262 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.295 0.073 0.002 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.279 0.231 2.042 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.120 0.017 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.367 0.208 0.024 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.616 0.094 0.016 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.455 0.069 0.010 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.375 0.058 0.004 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.038 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.231 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 13.662 0.521 0.700 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 25.862 0.522 1.325 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 11.084 0.350 1.236 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 7.852 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.078 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.513 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1873.998 68.903 1209.046 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.600 9.790 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 11.519 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.095 0.777 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.180 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture

CNTY
NAME NH3 2007 NOX

2007 P25

2007_TF SO2

2007APP_A-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2007 NOX

2007 P25

2007_TF SO2

2007 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.038 0.027 0.007 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.128 1.825 0.278 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.002 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.946 0.200 0.694 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.963 0.111 0.293 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.745 0.132 0.011 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.743 0.132 0.010 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.742 0.132 0.010 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.208 0.006 0.021 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.179 0.005 0.018 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.910 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.191 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.255 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.648 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.263 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.383 0.145 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.092 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.472 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.463 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.558 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.442 0.034 0.003 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR PackagingAPP_A-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2007 NOX

2007 P25

2007_TF SO2

2007 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.633 0.113 0.001 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.140 0.019 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 5.303 3.316 1.060 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.562 0.363 0.029 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.101 0.245 0.024 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.560 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color

# Appendix A-2 2007 Area Source EmissionsAPP_A-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION 24043 Washington Hagerstown-Martinsburg, MD-WV 2103002000 Stationary Fuel Comb /Commercial/Institutional /Bituminous/Subbituminous Co 0.0201 7.3881 0.9672 51.0448 24043 Washington Hagerstown-Martinsburg, MD-WV 2103004000 Stationary Fuel Comb /Commercial/Institutional /Distillate Oil /Total: Boil 0.8987 22.4700 2.3905 48.5300 24043 Washington Hagerstown-Martinsburg, MD-WV 2103005000 Stationary Fuel Comb /Commercial/Institutional /Residual Oil /Total: All Bo 0.0136 0.9400 0.1155 5.4100 24043 Washington Hagerstown-Martinsburg, MD-WV 2103006000 Stationary Fuel Comb /Commercial/Institutional /Natural Gas /Total: Boilers 0.3000 57.6400 0.0700 0.3700 24043 Washington Hagerstown-Martinsburg, MD-WV 2103007000 Stationary Fuel Comb /Commercial/Institutional /Liquified Petroleum Gas /To 0.0105 2.7700 0.0000 0.0120 24043 Washington Hagerstown-Martinsburg, MD-WV 2103011000 Stationary Fuel Comb /Commercial/Institutional /Kerosene /Total: All Combus 0.0310 0.7800 0.0804 1.6200 24043 Washington Hagerstown-Martinsburg, MD-WV 2104002000 Stationary Fuel Comb /Residential /Bituminous/Subbituminous Coal /Total: Al 0.0345 0.1568 0.0662 1.0684 24043 Washington Hagerstown-Martinsburg, MD-WV 2104004000 Stationary Fuel Comb /Residential /Distillate Oil /Total: All Combustor Typ 3.1689 57.0400 6.7495 136.9000 24043 Washington Hagerstown-Martinsburg, MD-WV 2104006000 Stationary Fuel Comb /Residential /Natural Gas /Total: All Combustor Types 7.4100 34.8300 0.1200 0.2200 24043 Washington Hagerstown-Martinsburg, MD-WV 2104007000 Stationary Fuel Comb /Residential /Liquified Petroleum Gas /Total: All Comb 0.0596 15.7300 0.0100 0.0679 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008100 Stationary Fuel Comb /Residential /Wood /Fireplace: general 1.6145 2.3320 21.1674 0.3588 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008210 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; non- 1.5064 2.4812 27.1159 0.3545 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008220 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.2554 0.6470 5.5616 0.1135 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008230 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.0854 0.1897 1.9348 0.0379 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008310 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, non-EPA c 3.1246 5.1464 56.2433 0.7352 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008320 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.5311 1.3453 11.5652 0.2360 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008330 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.1775 0.3944 4.0224 0.0789 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008400 Stationary Fuel Comb /Residential /Wood /Woodstove: pellet-fired, general ( 0.0369 0.4677 0.3767 0.0394 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008510 Stationary Fuel Comb /Residential /Wood /Furnace: Indoor, cordwood-fired, n 1.0035 1.0265 15.3866 1.1317 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008610 Stationary Fuel Comb /Residential /Wood /Hydronic heater: outdoor 0.7538 0.7711 11.5587 0.8502 24043 Washington Hagerstown-Martinsburg, MD-WV 2104009000 Stationary Fuel Comb /Residential /Firelog /Total: All Combustor Types 0.8073 2.9839 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2104011000 Stationary Fuel Comb /Residential /Kerosene /Total: All Heater Types 0.2128 3.8300 0.4566 8.8600 24043 Washington Hagerstown-Martinsburg, MD-WV 2294000000 Paved Roads /All Paved Roads /Total: Fugitives 25.8074 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2296000000 Unpaved Roads /All Unpaved Roads /Total: Fugitives 1.0742 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002100 Food & Kindred Products /Commercial Cooking - Charbroiling /Conveyorized Ch 4.7013 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002200 Food & Kindred Products /Commercial Cooking - Charbroiling /Under-fired Cha 28.2537 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003000 Food & Kindred Products /Commercial Cooking - Frying /Deep Fat Fying 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003100 Food & Kindred Products /Commercial Cooking - Frying /Flat Griddle Frying 5.7574 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003200 Food & Kindred Products /Commercial Cooking - Frying /Clamshell Griddle Fry 0.5074 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302050000 Food & Kindred Products /Bakery Products /Total 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2302070001 Food & Kindred Products /Fermentation/Beverages /Breweries 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2311010000 Construction: SIC 15 - 17 /Residential /Total 0.7365 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2311020000 Construction: SIC 15 - 17 /Industrial/Commercial/Institutional /Total 19.5684 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2311030000 Construction: SIC 15 - 17 /Road Construction /Total 5.1193 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401002000 Surface Coating /Architectural Coatings - Solvent-based /Total: All Solvent 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401003000 Surface Coating /Architectural Coatings - Water-based /Total: All Solvent T 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401005000 Surface Coating /Auto Refinishing /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401008000 Surface Coating /Traffic Markings /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401015000 Surface Coating /Factory Finished Wood /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401020000 Surface Coating /Wood Furniture /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401025000 Surface Coating /Metal Furniture /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401030000 Surface Coating /Paper /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401040000 Surface Coating /Metal Cans /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401055000 Surface Coating /Machinery & Equipment /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401060000 Surface Coating /Large Appliances /Total: All Solvent Types 0.0000 ### NH3
2007 NOX

2007 P25

2007_TF SO2

2007APP_A-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3
2007 NOX

2007 P25

2007_TF SO2

2007 24043 Washington Hagerstown-Martinsburg, MD-WV 2401065000 Surface Coating /Electronic & Other Electrical /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401070000 Surface Coating /Motor Vehicles /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401075000 Surface Coating /Aircraft /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401080000 Surface Coating /Marine /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401085000 Surface Coating /Railroad /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401090000 Surface Coating /Misc Manufacturing /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401100000 Surface Coating /Industrial Maintenance Coatings /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2401200000 Surface Coating /Other Special Purpose Coatings /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2415300000 Degreasing /All Industries: Cold Cleaning /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2420000000 Dry Cleaning /All Processes /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2425000000 Graphic Arts /All Processes /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2440020000 Misc Industrial /Adhesive (Industrial) Application /Total: All Solvent Type 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460100000 Misc Non-indus: Consumer & Comm /All Personal Care Products /Total: All Sol 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460200000 Misc Non-indus: Consumer & Comm /All Household Products /Total: All Solvent 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460400000 Misc Non-indus: Consumer & Comm /All Auto Aftermarket Products /Total: All 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460500000 Misc Non-indus: Consumer & Comm /All Coatings & Related Products /Total: Al 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460600000 Misc Non-indus: Consumer & Comm /All Adhesives & Sealants /Total: All Solve 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460800000 Misc Non-indus: Consumer & Comm /All FIFRA Related Products /Total: All Sol 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2460900000 Misc Non-indus: Consumer & Comm /Misc Products (Not Otherwise Covered) /Tot 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2461020000 Misc Non-industrial: Commercial /Asphalt Application: All Processes /Total: 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2461021000 Misc Non-industrial: Commercial /Cutback Asphalt /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2461022000 Misc Non-industrial: Commercial /Emulsified Asphalt /Total: All Solvent Typ 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2461023000 Misc Non-industrial: Commercial /Asphalt Roofing /Total: All Solvent Types 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2461800000 Misc Non-industrial: Commercial /Pesticide Application: All Processes /Tota 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011011 Residential Portable Gas Cans /Permeation 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011012 Residential Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011013 Residential Portable Gas Cans /Spillage During Transport 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012011 Commercial Portable Gas Cans /Permeation 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012012 Commercial Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012013 Commercial Portable Gas Cans /Spillage During Transport 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060051 Gasoline Service Stations /Stage 1: Submerged Filling 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060053 Gasoline Service Stations /Stage 1: Balanced Submerged Filling 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060201 Gasoline Service Stations /Underground Tank: Breathing and Emptying 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080050 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 1: Tot 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080100 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 2: Tot 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020030 Petrol & Petrol Product Transport /Marine Vessel /Crude Oil 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020060 Petrol & Petrol Product Transport /Marine Vessel /Residual Oil 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020090 Petrol & Petrol Product Transport /Marine Vessel /Distillate Oil 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020120 Petrol & Petrol Product Transport /Marine Vessel /Gasoline 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020150 Petrol & Petrol Product Transport /Marine Vessel /Jet Naphtha 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020180 Petrol & Petrol Product Transport /Marine Vessel /Kerosene 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2505030120 Petrol & Petrol Product Transport /Truck /Gasoline 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2601000000 On-site Incineration /All Categories /Total 26.1400 0.0000 13.0400 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000100 Open Burning /All Categories /Yard Waste - Leaf Species Unspecified 1.7800 6.3000 0.2200 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000400 Open Burning /All Categories /Yard Waste - Brush Species Unspecified 1.6800 5.1000 0.5600APP_A-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3
2007 NOX

2007 P25

2007_TF SO2

2007 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000500 Open Burning /All Categories /Land Clearing Debris (use 28-10-005-000 for L 31.8300 108.2300 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2610030000 Open Burning /Residential /Household Waste (use 26-10-000-xxx for Yard Wast 14.3800 83.3900 2.4000 24043 Washington Hagerstown-Martinsburg, MD-WV 2620030000 Landfills /Municipal /Total 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2630020000 Wastewater Treatment /Public Owned /Total Processed 3.7700 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2660000000 Leaking Underground Storage Tanks /Leaking Underground Storage Tanks /Total 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801000003 Agric - Crops /Tilling 34.8742 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700001 Agric - Crops /Fertilizer Application /Anhydrous Ammonia 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700002 Agric - Crops /Fertilizer Application /Aqueous Ammonia 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700003 Agric - Crops /Fertilizer Application /Nitrogen Solutions 68.2843 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700004 Agric - Crops /Fertilizer Application /Urea 84.8253 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700005 Agric - Crops /Fertilizer Application /Ammonium Nitrate 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700006 Agric - Crops /Fertilizer Application /Ammonium Sulfate 1.1293 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700007 Agric - Crops /Fertilizer Application /Ammonium Thiosulfate 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700010 Agric - Crops /Fertilizer Application /N-P-K (multi-grade nutrient fertiliz 17.1720 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700011 Agric - Crops /Fertilizer Application /Calcium Ammonium Nitrate 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700012 Agric - Crops /Fertilizer Application /Potassium Nitrate 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700013 Agric - Crops /Fertilizer Application /Diammonium Phosphate 0.8857 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700014 Agric - Crops /Fertilizer Application /Monoammonium Phosphate 0.1499 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700015 Agric - Crops /Fertilizer Application /Liquid Ammonium Polyphosphate 0.3135 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700099 Agric - Crops /Fertilizer Application /Miscellaneous Fertilizers 3.5311 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001100 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 7.5906 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001200 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 0.0030 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001300 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 5.7657 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805002000 Agric - Livestock /Beef cattle production composite /Not Elsewhere Classifi 29.2250 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805003100 Agric - Livestock /Beef cattle - finishing operations on pasture/range /Co 20.7617 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007100 Agric - Livestock /Poultry production - layers with dry manure management s 112.8007 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007300 Agric - Livestock /Poultry production - layers with dry manure management s 5.0780 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008100 Agric - Livestock /Poultry production - layers with wet manure management s 1.6662 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008200 Agric - Livestock /Poultry production - layers with wet manure management s 5.7128 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008300 Agric - Livestock /Poultry production - layers with wet manure management s 0.9971 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009100 Agric - Livestock /Poultry production - broilers /Confinement 0.1587 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009200 Agric - Livestock /Poultry production - broilers /Manure handling and stora 0.0287 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009300 Agric - Livestock /Poultry production - broilers /Land application of manur 0.1295 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010100 Agric - Livestock /Poultry production - turkeys /Confinement 0.0719 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010200 Agric - Livestock /Poultry production - turkeys /Manure handling and storag 0.0129 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010300 Agric - Livestock /Poultry production - turkeys /Land application of manure 0.0648 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805018000 Agric - Livestock /Dairy cattle composite /Not Elsewhere Classified 142.8192 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019100 Agric - Livestock /Dairy cattle - flush dairy /Confinement 6.2946 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019200 Agric - Livestock /Dairy cattle - flush dairy /Manure handling and storage 17.5879 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019300 Agric - Livestock /Dairy cattle - flush dairy /Land application of manure 1.6662 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021100 Agric - Livestock /Dairy cattle - scrape dairy /Confinement 74.5834 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021200 Agric - Livestock /Dairy cattle - scrape dairy /Manure handling and storage 81.7243 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021300 Agric - Livestock /Dairy cattle - scrape dairy /Land application of manure 163.9776 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022100 Agric - Livestock /Dairy cattle - deep pit dairy /Confinement 8.0005 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022200 Agric - Livestock /Dairy cattle - deep pit dairy /Manure handling and stora 0.3742 0.0000 ###APP_A-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3
2007 NOX

2007 P25

2007_TF SO2

2007 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022300 Agric - Livestock /Dairy cattle - deep pit dairy /Land application of manur 4.4962 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023100 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Confinement 54.4829 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023200 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Manure handling and 0.8490 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023300 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Land application of 72.7320 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805025000 Agric - Livestock /Swine production composite /Not Elsewhere Classified (se 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030000 Agric - Livestock /Poultry Waste Emissions /Not Elsewhere Classified (see a 0.0733 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030007 Agric - Livestock /Poultry Waste Emissions /Ducks 11.8619 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030008 Agric - Livestock /Poultry Waste Emissions /Geese 0.0152 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805035000 Agric - Livestock /Horses & Ponies Waste Emissions /Not Elsewhere Classifie 15.6043 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039100 Agric - Livestock /Swine production - operations with lagoons (unspecified 5.1045 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039200 Agric - Livestock /Swine production - operations with lagoons (unspecified 12.7479 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039300 Agric - Livestock /Swine production - operations with lagoons (unspecified 0.8503 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805040000 Agric - Livestock /Sheep & Lambs Waste Emissions /Total 5.8847 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805045000 Agric - Livestock /Goats Waste Emissions /Not Elsewhere Classified 11.0553 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047100 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 16.7945 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047300 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 11.9942 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2805053100 Agric - Livestock /Swine production - outdoor operations (unspecified anima 0.1878 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2810001000 Forest Wildfires - Wildfires - Unspecified 0.2222 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2810005000 Managed Burning, Slash (Logging Debris) /Unspecified Burn Method (use 26100 0.0000 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2810015000 Prescribed Forest Burning /Unspecified 0.4640 1.8050 0.1270 24043 Washington Hagerstown-Martinsburg, MD-WV 2810030000 Structure Fires /Unspecified 0.1803 0.0000 ### 24043 Washington Hagerstown-Martinsburg, MD-WV 2810050000 Motor Vehicle Fires /Unspecified 0.0500 1.3000 ###

# Appendix A-3

2007 On- R oad Mobile Source Emissions

# Appendix A-4

2007 Off-Road Mob ile Source Emissions

# Appendix B

2017 Interim Year Projection Year Inventory

# Appendix B-1

2017 Point Source Em issionsAPP_B-1_EGU

FIPS COUNTY FACNAME PLANTID POINTID STACKID SCC 24043 Washington R. Paul Smith Power Station 043-0005 3-0005 S1 10100202 Coal 820.000 273.500 0.000 82.701 24043 Washington R. Paul Smith Power Station 043-0005 3-0006 S2 10100212 Coal 3,770.000 1,116.500 0.000 194.249 AEO
FUEL SO2

2017 NOX

2017 NH3

2017 PRI25

2017APP_B-1_NonEGU

FIPS NONATTAIN FACNAME 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 17.611 33.103 58.869 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 4.931 5.535 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.778 0.133 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 25.055 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.417 0.045 0.001 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.143 0.006 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.295 0.073 0.002 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.279 0.231 0.010 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.120 0.017 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.367 0.208 0.024 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.616 0.094 0.016 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.455 0.069 0.010 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.375 0.058 0.004 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.038 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.231 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 13.662 0.442 0.004 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 25.862 0.443 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 11.084 0.297 0.006 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 7.852 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.078 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.513 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1405.499 68.903 1209.046 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.600 9.790 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 11.519 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.095 0.777 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.180 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture

CNTY
NAME NH3 2017 NOX

2017 P25

2017_TF SO2

2017APP_B-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2017 NOX

2017 P25

2017_TF SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.038 0.027 0.007 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.128 1.825 0.278 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.002 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.946 0.200 0.694 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.286 0.148 0.391 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.330 0.176 0.015 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.327 0.176 0.013 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.326 0.176 0.013 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.278 0.007 0.000 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.239 0.006 0.000 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.910 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.191 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.255 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.648 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.263 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.383 0.145 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.092 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.472 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.463 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.558 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.442 0.034 0.003 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes CorporationAPP_B-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2017 NOX

2017 P25

2017_TF SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.633 0.113 0.001 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.140 0.019 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 5.303 3.316 1.060 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.562 0.363 0.029 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.101 0.245 0.024 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.560 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color

# Appendix B-2

2017 Area Source EmissionsAPP_B-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION 24043 Washington Hagerstown-Martinsburg, MD-WV 2103002000 Stationary Fuel Comb /Commercial/Institutional /Bituminous/Subbituminous Co 0.0215 7.8990 1.0341 54.5753 24043 Washington Hagerstown-Martinsburg, MD-WV 2103004000 Stationary Fuel Comb /Commercial/Institutional /Distillate Oil /Total: Boil 0.9609 24.0241 2.3624 0.2594 24043 Washington Hagerstown-Martinsburg, MD-WV 2103005000 Stationary Fuel Comb /Commercial/Institutional /Residual Oil /Total: All Bo 0.0145 1.0050 0.1235 1.4460 24043 Washington Hagerstown-Martinsburg, MD-WV 2103006000 Stationary Fuel Comb /Commercial/Institutional /Natural Gas /Total: Boilers 0.3207 56.7150 0.0748 0.3956 24043 Washington Hagerstown-Martinsburg, MD-WV 2103007000 Stationary Fuel Comb /Commercial/Institutional /Liquified Petroleum Gas /To 0.0112 2.9616 0.0000 0.0128 24043 Washington Hagerstown-Martinsburg, MD-WV 2103011000 Stationary Fuel Comb /Commercial/Institutional /Kerosene /Total: All Combus 0.0331 0.8339 0.0860 0.0087 24043 Washington Hagerstown-Martinsburg, MD-WV 2104002000 Stationary Fuel Comb /Residential /Bituminous/Subbituminous Coal /Total: Al 0.0400 0.1819 0.0768 1.2396 24043 Washington Hagerstown-Martinsburg, MD-WV 2104004000 Stationary Fuel Comb /Residential /Distillate Oil /Total: All Combustor Typ 3.6769 66.1848 7.8316 0.7942 24043 Washington Hagerstown-Martinsburg, MD-WV 2104006000 Stationary Fuel Comb /Residential /Natural Gas /Total: All Combustor Types 8.5980 40.4140 0.1392 0.2553 24043 Washington Hagerstown-Martinsburg, MD-WV 2104007000 Stationary Fuel Comb /Residential /Liquified Petroleum Gas /Total: All Comb 0.0692 18.2519 0.0116 0.0788 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008100 Stationary Fuel Comb /Residential /Wood /Fireplace: general 1.7759 2.5652 23.2841 0.3946 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008210 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; non- 1.2051 1.9850 21.6927 0.2836 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008220 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.3065 0.7764 6.6739 0.1362 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008230 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.1024 0.2276 2.3217 0.0455 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008310 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, non-EPA c 2.4997 4.1172 44.9947 0.5882 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008320 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.6373 1.6144 13.8783 0.2832 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008330 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.2130 0.4732 4.8269 0.0946 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008400 Stationary Fuel Comb /Residential /Wood /Woodstove: pellet-fired, general ( 0.0443 0.5613 0.4520 0.0473 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008510 Stationary Fuel Comb /Residential /Wood /Furnace: Indoor, cordwood-fired, n 0.8028 0.8212 12.3093 0.9054 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008610 Stationary Fuel Comb /Residential /Wood /Hydronic heater: outdoor 0.8292 0.8483 12.7146 0.9352 24043 Washington Hagerstown-Martinsburg, MD-WV 2104009000 Stationary Fuel Comb /Residential /Firelog /Total: All Combustor Types 0.0000 0.8881 3.2823 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2104011000 Stationary Fuel Comb /Residential /Kerosene /Total: All Heater Types 0.2469 4.4440 0.5298 0.0514 24043 Washington Hagerstown-Martinsburg, MD-WV 2294000000 Paved Roads /All Paved Roads /Total: Fugitives 0.0000 0.0000 31.6776 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2296000000 Unpaved Roads /All Unpaved Roads /Total: Fugitives 0.0000 0.0000 1.0742 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002100 Food & Kindred Products /Commercial Cooking - Charbroiling /Conveyorized Ch 0.0000 0.0000 5.4701 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002200 Food & Kindred Products /Commercial Cooking - Charbroiling /Under-fired Cha 0.0000 0.0000 32.8742 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003000 Food & Kindred Products /Commercial Cooking - Frying /Deep Fat Fying 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003100 Food & Kindred Products /Commercial Cooking - Frying /Flat Griddle Frying 0.0000 0.0000 6.6989 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003200 Food & Kindred Products /Commercial Cooking - Frying /Clamshell Griddle Fry 0.0000 0.0000 0.5904 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302050000 Food & Kindred Products /Bakery Products /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302070001 Food & Kindred Products /Fermentation/Beverages /Breweries 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311010000 Construction: SIC 15 - 17 /Residential /Total 0.0000 0.0000 0.9026 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311020000 Construction: SIC 15 - 17 /Industrial/Commercial/Institutional /Total 0.0000 0.0000 20.9219 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311030000 Construction: SIC 15 - 17 /Road Construction /Total 0.0000 0.0000 6.2740 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401002000 Surface Coating /Architectural Coatings - Solvent-based /Total: All Solvent 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401003000 Surface Coating /Architectural Coatings - Water-based /Total: All Solvent T 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401005000 Surface Coating /Auto Refinishing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401008000 Surface Coating /Traffic Markings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401015000 Surface Coating /Factory Finished Wood /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401020000 Surface Coating /Wood Furniture /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401025000 Surface Coating /Metal Furniture /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401030000 Surface Coating /Paper /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401040000 Surface Coating /Metal Cans /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401055000 Surface Coating /Machinery & Equipment /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401060000 Surface Coating /Large Appliances /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 NH3 2017 NOX

2017 P25

2017_TF SO2

2017APP_B-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2017 NOX

2017 P25

2017_TF SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2401065000 Surface Coating /Electronic & Other Electrical /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401070000 Surface Coating /Motor Vehicles /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401075000 Surface Coating /Aircraft /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401080000 Surface Coating /Marine /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401085000 Surface Coating /Railroad /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401090000 Surface Coating /Misc Manufacturing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401100000 Surface Coating /Industrial Maintenance Coatings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401200000 Surface Coating /Other Special Purpose Coatings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2415300000 Degreasing /All Industries: Cold Cleaning /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2420000000 Dry Cleaning /All Processes /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2425000000 Graphic Arts /All Processes /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2440020000 Misc Industrial /Adhesive (Industrial) Application /Total: All Solvent Type 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460100000 Misc Non-indus: Consumer & Comm /All Personal Care Products /Total: All Sol 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460200000 Misc Non-indus: Consumer & Comm /All Household Products /Total: All Solvent 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460400000 Misc Non-indus: Consumer & Comm /All Auto Aftermarket Products /Total: All 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460500000 Misc Non-indus: Consumer & Comm /All Coatings & Related Products /Total: Al 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460600000 Misc Non-indus: Consumer & Comm /All Adhesives & Sealants /Total: All Solve 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460800000 Misc Non-indus: Consumer & Comm /All FIFRA Related Products /Total: All Sol 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460900000 Misc Non-indus: Consumer & Comm /Misc Products (Not Otherwise Covered) /Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461020000 Misc Non-industrial: Commercial /Asphalt Application: All Processes /Total: 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461021000 Misc Non-industrial: Commercial /Cutback Asphalt /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461022000 Misc Non-industrial: Commercial /Emulsified Asphalt /Total: All Solvent Typ 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461023000 Misc Non-industrial: Commercial /Asphalt Roofing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461800000 Misc Non-industrial: Commercial /Pesticide Application: All Processes /Tota 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011011 Residential Portable Gas Cans /Permeation 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011012 Residential Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011013 Residential Portable Gas Cans /Spillage During Transport 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012011 Commercial Portable Gas Cans /Permeation 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012012 Commercial Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012013 Commercial Portable Gas Cans /Spillage During Transport 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060051 Gasoline Service Stations /Stage 1: Submerged Filling 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060053 Gasoline Service Stations /Stage 1: Balanced Submerged Filling 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060201 Gasoline Service Stations /Underground Tank: Breathing and Emptying 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080050 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 1: Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080100 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 2: Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020030 Petrol & Petrol Product Transport /Marine Vessel /Crude Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020060 Petrol & Petrol Product Transport /Marine Vessel /Residual Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020090 Petrol & Petrol Product Transport /Marine Vessel /Distillate Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020120 Petrol & Petrol Product Transport /Marine Vessel /Gasoline 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020150 Petrol & Petrol Product Transport /Marine Vessel /Jet Naphtha 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020180 Petrol & Petrol Product Transport /Marine Vessel /Kerosene 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505030120 Petrol & Petrol Product Transport /Truck /Gasoline 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2601000000 On-site Incineration /All Categories /Total 0.0000 26.1400 0.0000 13.0400 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000100 Open Burning /All Categories /Yard Waste - Leaf Species Unspecified 0.0000 2.0654 7.3100 0.2553 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000400 Open Burning /All Categories /Yard Waste - Brush Species Unspecified 0.0000 1.9493 5.9176 0.6498APP_B-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2017 NOX

2017 P25

2017_TF SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000500 Open Burning /All Categories /Land Clearing Debris (use 28-10-005-000 for L 0.0000 31.8300 108.2300 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2610030000 Open Burning /Residential /Household Waste (use 26-10-000-xxx for Yard Wast 0.0000 16.6854 96.7592 2.7848 24043 Washington Hagerstown-Martinsburg, MD-WV 2620030000 Landfills /Municipal /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2630020000 Wastewater Treatment /Public Owned /Total Processed 4.3744 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2660000000 Leaking Underground Storage Tanks /Leaking Underground Storage Tanks /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801000003 Agric - Crops /Tilling 0.0000 0.0000 34.8742 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700001 Agric - Crops /Fertilizer Application /Anhydrous Ammonia 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700002 Agric - Crops /Fertilizer Application /Aqueous Ammonia 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700003 Agric - Crops /Fertilizer Application /Nitrogen Solutions 68.2843 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700004 Agric - Crops /Fertilizer Application /Urea 84.8253 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700005 Agric - Crops /Fertilizer Application /Ammonium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700006 Agric - Crops /Fertilizer Application /Ammonium Sulfate 1.1293 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700007 Agric - Crops /Fertilizer Application /Ammonium Thiosulfate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700010 Agric - Crops /Fertilizer Application /N-P-K (multi-grade nutrient fertiliz 17.1720 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700011 Agric - Crops /Fertilizer Application /Calcium Ammonium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700012 Agric - Crops /Fertilizer Application /Potassium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700013 Agric - Crops /Fertilizer Application /Diammonium Phosphate 0.8857 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700014 Agric - Crops /Fertilizer Application /Monoammonium Phosphate 0.1499 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700015 Agric - Crops /Fertilizer Application /Liquid Ammonium Polyphosphate 0.3135 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700099 Agric - Crops /Fertilizer Application /Miscellaneous Fertilizers 3.5311 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001100 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 7.5906 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001200 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 0.0030 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001300 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 5.7657 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805002000 Agric - Livestock /Beef cattle production composite /Not Elsewhere Classifi 29.2250 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805003100 Agric - Livestock /Beef cattle - finishing operations on pasture/range /Co 20.7617 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007100 Agric - Livestock /Poultry production - layers with dry manure management s 112.8007 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007300 Agric - Livestock /Poultry production - layers with dry manure management s 5.0780 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008100 Agric - Livestock /Poultry production - layers with wet manure management s 1.6662 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008200 Agric - Livestock /Poultry production - layers with wet manure management s 5.7128 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008300 Agric - Livestock /Poultry production - layers with wet manure management s 0.9971 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009100 Agric - Livestock /Poultry production - broilers /Confinement 0.1587 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009200 Agric - Livestock /Poultry production - broilers /Manure handling and stora 0.0287 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009300 Agric - Livestock /Poultry production - broilers /Land application of manur 0.1295 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010100 Agric - Livestock /Poultry production - turkeys /Confinement 0.0719 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010200 Agric - Livestock /Poultry production - turkeys /Manure handling and storag 0.0129 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010300 Agric - Livestock /Poultry production - turkeys /Land application of manure 0.0648 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805018000 Agric - Livestock /Dairy cattle composite /Not Elsewhere Classified 142.8192 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019100 Agric - Livestock /Dairy cattle - flush dairy /Confinement 6.2946 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019200 Agric - Livestock /Dairy cattle - flush dairy /Manure handling and storage 17.5879 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019300 Agric - Livestock /Dairy cattle - flush dairy /Land application of manure 1.6662 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021100 Agric - Livestock /Dairy cattle - scrape dairy /Confinement 74.5834 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021200 Agric - Livestock /Dairy cattle - scrape dairy /Manure handling and storage 81.7243 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021300 Agric - Livestock /Dairy cattle - scrape dairy /Land application of manure 163.9776 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022100 Agric - Livestock /Dairy cattle - deep pit dairy /Confinement 8.0005 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022200 Agric - Livestock /Dairy cattle - deep pit dairy /Manure handling and stora 0.3742 0.0000 0.0000 0.0000APP_B-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2017 NOX

2017 P25

2017_TF SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022300 Agric - Livestock /Dairy cattle - deep pit dairy /Land application of manur 4.4962 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023100 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Confinement 54.4829 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023200 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Manure handling and 0.8490 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023300 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Land application of 72.7320 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805025000 Agric - Livestock /Swine production composite /Not Elsewhere Classified (se 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030000 Agric - Livestock /Poultry Waste Emissions /Not Elsewhere Classified (see a 0.0733 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030007 Agric - Livestock /Poultry Waste Emissions /Ducks 11.8619 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030008 Agric - Livestock /Poultry Waste Emissions /Geese 0.0152 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805035000 Agric - Livestock /Horses & Ponies Waste Emissions /Not Elsewhere Classifie 15.6043 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039100 Agric - Livestock /Swine production - operations with lagoons (unspecified 5.1045 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039200 Agric - Livestock /Swine production - operations with lagoons (unspecified 12.7479 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039300 Agric - Livestock /Swine production - operations with lagoons (unspecified 0.8503 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805040000 Agric - Livestock /Sheep & Lambs Waste Emissions /Total 5.8847 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805045000 Agric - Livestock /Goats Waste Emissions /Not Elsewhere Classified 11.0553 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047100 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 16.7945 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047300 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 11.9942 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805053100 Agric - Livestock /Swine production - outdoor operations (unspecified anima 0.1878 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810001000 Forest Wildfires - Wildfires - Unspecified 0.0000 0.2222 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810005000 Managed Burning, Slash (Logging Debris) /Unspecified Burn Method (use 26100 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810015000 Prescribed Forest Burning /Unspecified 0.0000 0.4640 1.8050 0.1270 24043 Washington Hagerstown-Martinsburg, MD-WV 2810030000 Structure Fires /Unspecified 0.0000 0.2069 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810050000 Motor Vehicle Fires /Unspecified 0.0000 0.0574 1.4914 0.0000

# Appendix B-3

2017 On-Road M obile Source Emissions

## Table: VI - 2017 PM2.5 Re-designation Annual Emissions Summary (Based on the SHA-PPSuite-MOVES Process)

County VMT NOx Total PM2.5 SO2 NH3 Washington County 2,315,331,295 3,380.83 124.70 19.09 67.68

Washington County Mobile Budget 4,057.00 149.63

1. Emission Estimates are in short tons per year. 2. VMT estimates are in million miles per year. 3. Washington area estimates are being developed by MWCOG. 4. Totals may not add due to rounding errors.

# Appendix B-4

2017 Off-Road Mob ile Source EmissionsAPP_B-4_MAR

FIPS CNTY_NAME AREA SCC SCC_DESCRIPTION 24043 Washington Hagerstown-Martinsburg, MD-WV 2265008005 Airport Ground Support Equipment, 4-Stroke Gasoline 0.000 0.771 0.017 24043 Washington Hagerstown-Martinsburg, MD-WV 2267008005 Airport Ground Support Equipment, LPG 0.000 0.213 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2268008005 Airport Ground Support Equipment, CNG 0.000 0.060 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270008005 Airport Ground Support Equipment, Diesel 0.000 3.664 0.080 24043 Washington Hagerstown-Martinsburg, MD-WV 2275001000 Aircraft /Military Aircraft /Total 0.000 0.628 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275020000 Aircraft /Commercial Aircraft /Total: All Types 0.000 0.431 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275050000 Aircraft /General Aviation /Total 0.000 1.878 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275060000 Aircraft /Air Taxi /Total 0.000 0.894 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002006 Railroad Equipment /Diesel /Line Haul Locomotives: Class I Operations 0.000 155.222 3.844 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002007 Railroad Equipment /Diesel /Line Haul Locomotives: Class II / III Operations 0.000 2.482 0.072 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002008 Railroad Equipment /Diesel /Line Haul Locomotives: Passenger Trains (Amtrak) 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002009 Railroad Equipment /Diesel /Line Haul Locomotives: Commuter Lines 0.000 2.987 0.099 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002010 Railroad Equipment /Diesel /Yard Locomotives 0.000 26.698 0.573 NH3 2017 NOX

2017 P25

2017APP_B-4_MAR

0.033
0.009
0.003
0.155
0.234
0.110
0.701
0.313
0.010
0.000
0.000
0.000
0.001 SO2 2017APP_B-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001010 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Motorcycles: Off-road 0.007 0.648 2.047 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001020 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Snowmobiles 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001030 Off-highway Gasoline, 2-Stroke /Recreational Equipt /All Terrain Vehicles 0.008 0.940 1.389 0.007 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001060 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Specialty Vehicles/Carts 0.001 0.239 0.013 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002006 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Tampers/Rammers 0.000 0.047 0.268 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002009 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Plate Compactors 0.000 0.003 0.009 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002021 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Paving Equipt 0.000 0.004 0.011 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002027 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Signal Boards/Ligh 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002039 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Concrete/Industria 0.001 0.124 0.700 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002054 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Crushing/Processin 0.000 0.001 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260003030 Off-highway Gasoline, 2-Stroke /Industrial Equipt /Sweepers/Scrubbers 0.000 0.000 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260003040 Off-highway Gasoline, 2-Stroke /Industrial Equipt /Other General Industrial Equi 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004015 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Res 0.000 0.014 0.041 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004016 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Com 0.000 0.069 0.201 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004020 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Chain Saws < 6 HP (Residen 0.001 0.192 0.557 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004021 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Chain Saws < 6 HP (Commerc 0.006 0.762 4.137 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004025 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.002 0.270 0.804 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004026 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.005 0.669 2.160 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004030 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Resid 0.001 0.172 0.504 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004031 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Comme 0.004 0.620 2.456 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004035 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Snowblowers (Residential) 0.001 0.056 0.174 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004036 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Snowblowers (Commercial) 0.002 0.147 0.457 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004071 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.000 0.000 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260005035 Off-highway Gasoline, 2-Stroke /Agricultural Equipt /Sprayers 0.000 0.003 0.010 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006005 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Generator Sets 0.000 0.020 0.061 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006010 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Pumps 0.001 0.138 0.448 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006015 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Air Compressors 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006035 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Hydro-power Units 0.000 0.001 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260007005 Off-highway Gasoline, 2-Stroke /Logging Equipt /Chain Saws : 6 HP 0.000 0.010 0.060 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001010 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Motorcycles: Off-road 0.002 0.457 0.050 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001030 Off-highway Gasoline, 4-Stroke /Recreational Equipt /All Terrain Vehicles 0.026 3.712 0.499 0.027 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001050 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Golf Carts 0.004 0.546 0.032 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001060 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Specialty Vehicles/Carts 0.001 0.411 0.010 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002003 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Pavers 0.000 0.043 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002006 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Tampers/Rammers 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002009 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Plate Compactors 0.000 0.076 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002015 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rollers 0.000 0.071 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002021 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Paving Equipt 0.001 0.152 0.009 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002024 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Surfacing Equipt 0.000 0.060 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002027 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Signal Boards/Ligh 0.000 0.003 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002030 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Trenchers 0.001 0.136 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002033 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Bore/Drill Rigs 0.000 0.073 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002039 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Concrete/Industria 0.002 0.265 0.015 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002042 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Cement & Mortar Mi 0.001 0.152 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002045 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Cranes 0.000 0.025 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002054 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Crushing/Processin 0.000 0.019 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002057 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rough Terrain Fork 0.000 0.024 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002060 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rubber Tire Loader 0.000 0.037 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002066 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Tractors/Loaders/B 0.001 0.085 0.004 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002072 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Skid Steer Loaders 0.000 0.106 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002078 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Dumpers/Tenders 0.000 0.027 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002081 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Other Construction 0.000 0.042 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003010 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Aerial Lifts 0.000 0.261 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003020 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Forklifts 0.001 0.231 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003030 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Sweepers/Scrubbers 0.000 0.045 0.002 0.000 NH3
2017 NOX

2017 PM25

2017 SO2

2017APP_B-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2017 NOX

2017 PM25

2017 SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003040 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other General Industrial Equi 0.000 0.085 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003050 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other Material H&ling Equipt 0.000 0.013 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003060 Off-highway Gasoline, 4-Stroke /Industrial Equipt /AC\Refrigeration 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003070 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Terminal Tractors 0.000 0.015 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004010 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn Mowers (Residential) 0.015 2.282 0.258 0.016 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004011 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn Mowers (Commercial) 0.012 1.729 0.215 0.013 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004015 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Res 0.001 0.191 0.022 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004016 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Com 0.006 0.896 0.105 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004025 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.000 0.012 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004026 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.000 0.040 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004030 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Resid 0.000 0.023 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004031 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Comme 0.011 1.784 0.090 0.012 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004035 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Snowblowers (Residential) 0.001 0.402 0.009 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004036 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Snowblowers (Commercial) 0.004 1.056 0.023 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004040 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rear Engine Riding Mowers 0.003 0.463 0.021 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004041 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rear Engine Riding Mowers 0.001 0.187 0.010 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004046 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Front Mowers (Commercial) 0.001 0.288 0.011 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004051 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Shredders < 6 HP (Commerci 0.001 0.105 0.012 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004055 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn & Garden Tractors (Re 0.039 6.198 0.288 0.041 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004056 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn & Garden Tractors (Co 0.018 2.545 0.136 0.019 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004066 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Chippers/Stump Grinders (C 0.003 0.427 0.023 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004071 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.056 8.164 0.545 0.060 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004075 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Other Lawn & Garden Equipt 0.001 0.254 0.018 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004076 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Other Lawn & Garden Equipt 0.002 0.324 0.022 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005010 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /2-Wheel Tractors 0.000 0.007 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005015 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Agricultural Tractors 0.000 0.028 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005020 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Combines 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005025 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Balers 0.000 0.079 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005030 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Agricultural Mowers 0.000 0.006 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005035 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Sprayers 0.000 0.131 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005040 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Tillers : 6 HP 0.001 0.227 0.006 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005045 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Swathers 0.000 0.126 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005055 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Other Agricultural Equipt 0.000 0.148 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005060 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Irrigation Sets 0.000 0.042 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006005 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Generator Sets 0.025 4.474 0.211 0.027 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006010 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Pumps 0.006 1.135 0.077 0.007 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006015 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Air Compressors 0.003 0.571 0.036 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006025 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Welders 0.007 1.174 0.058 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006030 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Pressure Washers 0.011 1.792 0.131 0.012 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006035 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Hydro-power Units 0.001 0.083 0.005 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265007010 Off-highway Gasoline, 4-Stroke /Logging Equipt /Shredders : 6 HP 0.000 0.030 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265007015 Off-highway Gasoline, 4-Stroke /Logging Equipt /Forest Equipt - Feller/Bunch/Ski 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265010010 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other Oil Field Equipt 0.000 0.016 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267001060 Off-highway LPG /Recreational Equipt /Specialty Vehicles/Carts 0.000 0.073 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002003 Off-highway LPG /Construction & Mining Equipt /Pavers 0.000 0.011 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002015 Off-highway LPG /Construction & Mining Equipt /Rollers 0.000 0.012 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002021 Off-highway LPG /Construction & Mining Equipt /Paving Equipt 0.000 0.006 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002024 Off-highway LPG /Construction & Mining Equipt /Surfacing Equipt 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002030 Off-highway LPG /Construction & Mining Equipt /Trenchers 0.000 0.035 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002033 Off-highway LPG /Construction & Mining Equipt /Bore/Drill Rigs 0.000 0.040 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002039 Off-highway LPG /Construction & Mining Equipt /Concrete/Industrial Saws 0.000 0.019 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002045 Off-highway LPG /Construction & Mining Equipt /Cranes 0.000 0.024 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002054 Off-highway LPG /Construction & Mining Equipt /Crushing/Processing Equipt 0.000 0.004 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002057 Off-highway LPG /Construction & Mining Equipt /Rough Terrain Forklifts 0.000 0.025 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002060 Off-highway LPG /Construction & Mining Equipt /Rubber Tire Loaders 0.000 0.038 0.002 0.000APP_B-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2017 NOX

2017 PM25

2017 SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002066 Off-highway LPG /Construction & Mining Equipt /Tractors/Loaders/Backhoes 0.000 0.004 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002072 Off-highway LPG /Construction & Mining Equipt /Skid Steer Loaders 0.000 0.083 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002081 Off-highway LPG /Construction & Mining Equipt /Other Construction Equipt 0.000 0.043 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003010 Off-highway LPG /Industrial Equipt /Aerial Lifts 0.000 0.639 0.010 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003020 Off-highway LPG /Industrial Equipt /Forklifts 0.000 19.198 0.972 0.181 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003030 Off-highway LPG /Industrial Equipt /Sweepers/Scrubbers 0.000 0.131 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003040 Off-highway LPG /Industrial Equipt /Other General Industrial Equipt 0.000 0.041 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003050 Off-highway LPG /Industrial Equipt /Other Material H&ling Equipt 0.000 0.028 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003070 Off-highway LPG /Industrial Equipt /Terminal Tractors 0.000 0.073 0.005 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267004066 Off-highway LPG /Lawn & Garden Equipt /Chippers/Stump Grinders (Commercial) 0.000 0.142 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267005055 Off-highway LPG /Agricultural Equipt /Other Agricultural Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267005060 Off-highway LPG /Agricultural Equipt /Irrigation Sets 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006005 Off-highway LPG /Commercial Equipt /Generator Sets 0.000 1.983 0.024 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006010 Off-highway LPG /Commercial Equipt /Pumps 0.000 0.271 0.006 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006015 Off-highway LPG /Commercial Equipt /Air Compressors 0.000 0.176 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006025 Off-highway LPG /Commercial Equipt /Welders 0.000 0.227 0.008 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006030 Off-highway LPG /Commercial Equipt /Pressure Washers 0.000 0.006 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006035 Off-highway LPG /Commercial Equipt /Hydro-power Units 0.000 0.003 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268002081 Off-highway CNG /Construction & Mining Equipt /Other Construction Equipt 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003020 Off-highway CNG /Industrial Equipt /Forklifts 0.000 1.378 0.067 0.012 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003030 Off-highway CNG /Industrial Equipt /Sweepers/Scrubbers 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003040 Off-highway CNG /Industrial Equipt /Other General Industrial Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003060 Off-highway CNG /Industrial Equipt /AC\Refrigeration 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003070 Off-highway CNG /Industrial Equipt /Terminal Tractors 0.000 0.005 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268005055 Off-highway CNG /Agricultural Equipt /Other Agricultural Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268005060 Off-highway CNG /Agricultural Equipt /Irrigation Sets 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006005 Off-highway CNG /Commercial Equipt /Generator Sets 0.000 0.603 0.006 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006010 Off-highway CNG /Commercial Equipt /Pumps 0.000 0.021 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006015 Off-highway CNG /Commercial Equipt /Air Compressors 0.000 0.013 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006020 Off-highway CNG /Commercial Equipt /Gas Compressors 0.000 0.290 0.018 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006035 Off-highway CNG /Commercial Equipt /Hydro-power Units 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268010010 Off-highway CNG /Industrial Equipt /Other Oil Field Equipt 0.000 0.010 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270001060 Off-highway Diesel /Recreational Equipt /Specialty Vehicles/Carts 0.001 1.120 0.137 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002003 Off-highway Diesel /Construction & Mining Equipt /Pavers 0.005 2.177 0.157 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002006 Off-highway Diesel /Construction & Mining Equipt /Tampers/Rammers 0.000 0.008 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002009 Off-highway Diesel /Construction & Mining Equipt /Plate Compactors 0.000 0.134 0.011 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002015 Off-highway Diesel /Construction & Mining Equipt /Rollers 0.013 6.133 0.482 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002018 Off-highway Diesel /Construction & Mining Equipt /Scrapers 0.014 5.978 0.347 0.010 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002021 Off-highway Diesel /Construction & Mining Equipt /Paving Equipt 0.001 0.426 0.033 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002024 Off-highway Diesel /Construction & Mining Equipt /Surfacing Equipt 0.000 0.360 0.023 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002027 Off-highway Diesel /Construction & Mining Equipt /Signal Boards/Light Plants 0.001 1.297 0.088 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002030 Off-highway Diesel /Construction & Mining Equipt /Trenchers 0.006 4.053 0.273 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002033 Off-highway Diesel /Construction & Mining Equipt /Bore/Drill Rigs 0.005 4.831 0.255 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002036 Off-highway Diesel /Construction & Mining Equipt /Excavators 0.053 16.302 1.069 0.034 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002039 Off-highway Diesel /Construction & Mining Equipt /Concrete/Industrial Saws 0.000 0.292 0.021 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002042 Off-highway Diesel /Construction & Mining Equipt /Cement & Mortar Mixers 0.000 0.201 0.015 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002045 Off-highway Diesel /Construction & Mining Equipt /Cranes 0.012 5.880 0.268 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002048 Off-highway Diesel /Construction & Mining Equipt /Graders 0.013 4.084 0.276 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002051 Off-highway Diesel /Construction & Mining Equipt /Off-highway Trucks 0.045 20.967 0.711 0.028 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002054 Off-highway Diesel /Construction & Mining Equipt /Crushing/Processing Equipt 0.002 1.254 0.059 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002057 Off-highway Diesel /Construction & Mining Equipt /Rough Terrain Forklifts 0.017 8.535 0.800 0.012 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002060 Off-highway Diesel /Construction & Mining Equipt /Rubber Tire Loaders 0.057 29.338 1.791 0.040 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002066 Off-highway Diesel /Construction & Mining Equipt /Tractors/Loaders/Backhoes 0.035 25.013 3.547 0.026 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002069 Off-highway Diesel /Construction & Mining Equipt /Crawler Tractor/Dozers 0.052 22.346 1.363 0.036 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002072 Off-highway Diesel /Construction & Mining Equipt /Skid Steer Loaders 0.024 20.377 3.056 0.018APP_B-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2017 NOX

2017 PM25

2017 SO2

2017 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002075 Off-highway Diesel /Construction & Mining Equipt /Off-highway Tractors 0.006 3.639 0.168 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002078 Off-highway Diesel /Construction & Mining Equipt /Dumpers/Tenders 0.000 0.066 0.010 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002081 Off-highway Diesel /Construction & Mining Equipt /Other Construction Equipt 0.005 3.522 0.209 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003010 Off-highway Diesel /Industrial Equipt /Aerial Lifts 0.001 1.302 0.178 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003020 Off-highway Diesel /Industrial Equipt /Forklifts 0.020 5.870 0.190 0.013 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003030 Off-highway Diesel /Industrial Equipt /Sweepers/Scrubbers 0.009 3.483 0.206 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003040 Off-highway Diesel /Industrial Equipt /Other General Industrial Equipt 0.009 4.606 0.277 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003050 Off-highway Diesel /Industrial Equipt /Other Material H&ling Equipt 0.000 0.310 0.032 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003060 Off-highway Diesel /Industrial Equipt /AC\Refrigeration 0.023 15.485 0.630 0.016 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003070 Off-highway Diesel /Industrial Equipt /Terminal Tractors 0.013 3.010 0.166 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004031 Off-highway Diesel /Lawn & Garden Equipt /Leafblowers/Vacuums (Commercial) 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004036 Off-highway Diesel /Lawn & Garden Equipt /Snowblowers (Commercial) 0.000 0.208 0.009 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004046 Off-highway Diesel /Lawn & Garden Equipt /Front Mowers (Commercial) 0.007 6.093 0.408 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004056 Off-highway Diesel /Lawn & Garden Equipt /Lawn & Garden Tractors (Commercial) 0.001 1.297 0.095 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004066 Off-highway Diesel /Lawn & Garden Equipt /Chippers/Stump Grinders (Commercial) 0.009 7.482 0.474 0.007 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004071 Off-highway Diesel /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.001 0.613 0.032 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004076 Off-highway Diesel /Lawn & Garden Equipt /Other Lawn & Garden Equipt (Commercial 0.000 0.024 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005010 Off-highway Diesel /Agricultural Equipt /2-Wheel Tractors 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005015 Off-highway Diesel /Agricultural Equipt /Agricultural Tractors 0.090 64.699 4.741 0.067 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005020 Off-highway Diesel /Agricultural Equipt /Combines 0.008 7.161 0.540 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005025 Off-highway Diesel /Agricultural Equipt /Balers 0.000 0.040 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005030 Off-highway Diesel /Agricultural Equipt /Agricultural Mowers 0.000 0.007 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005035 Off-highway Diesel /Agricultural Equipt /Sprayers 0.001 0.580 0.043 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005040 Off-highway Diesel /Agricultural Equipt /Tillers : 6 HP 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005045 Off-highway Diesel /Agricultural Equipt /Swathers 0.001 0.553 0.058 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005055 Off-highway Diesel /Agricultural Equipt /Other Agricultural Equipt 0.002 1.394 0.112 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005060 Off-highway Diesel /Agricultural Equipt /Irrigation Sets 0.001 0.785 0.052 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006005 Off-highway Diesel /Commercial Equipt /Generator Sets 0.012 10.594 0.752 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006010 Off-highway Diesel /Commercial Equipt /Pumps 0.003 2.477 0.187 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006015 Off-highway Diesel /Commercial Equipt /Air Compressors 0.008 4.706 0.298 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006020 Off-highway Diesel /Commercial Equipt /Gas Compressors 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006025 Off-highway Diesel /Commercial Equipt /Welders 0.004 3.351 0.455 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006030 Off-highway Diesel /Commercial Equipt /Pressure Washers 0.000 0.354 0.022 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006035 Off-highway Diesel /Commercial Equipt /Hydro-power Units 0.000 0.216 0.014 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270007010 Off-highway Diesel /Logging Equipt /Shredders : 6 HP 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270007015 Off-highway Diesel /Logging Equipt /Forest Equipt - Feller/Bunch/Skidder 0.001 0.248 0.014 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270009010 Off-highway Diesel /Underground Mining Equipt /Other Underground Mining Equipt 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270010010 Off-highway Diesel /Industrial Equipt /Other Oil Field Equipt 0.000 0.136 0.005 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2282005010 Pleasure Craft /Gasoline 2-Stroke /Outboard 0.021 8.711 0.699 0.020 24043 Washington Hagerstown-Martinsburg, MD-WV 2282005015 Pleasure Craft /Gasoline 2-Stroke /Personal Water Craft 0.008 3.855 0.135 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2282010005 Pleasure Craft /Gasoline 4-Stroke /Inboard/Sterndrive 0.006 3.944 0.034 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2282020005 Pleasure Craft /Diesel /Inboard/Sterndrive 0.003 4.174 0.089 0.013 24043 Washington Hagerstown-Martinsburg, MD-WV 2282020010 Pleasure Craft /Diesel /Outboard 0.000 0.025 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002015 Railroad Equipt /Diesel /Railway Maintenance 0.002 1.318 0.146 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2285004015 Railroad Equipt /Gasoline, 4-Stroke /Railway Maintenance 0.000 0.018 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285006015 Railroad Equipt /LPG /Railway Maintenance 0.000 0.001 0.000 0.000

# Appendix C

2025 Projection Year Inventory

# Appendix C-1

2025 Point Source Em issionsAPP_C-1_EGU

FIPS COUNTY FACNAME PLANTID POINTID STACKID SCC 24043 Washington R. Paul Smith Power Station 043-0005 3-0005 S1 10100202 Coal 820.000 273.500 0.000 89.378 24043 Washington R. Paul Smith Power Station 043-0005 3-0006 S2 10100212 Coal 3,770.000 1,116.500 0.000 209.931 AEO
FUEL SO2

2025 NOX

2025 NH3

2025 PRI25

2025APP_C-1_NonEGU

FIPS NONATTAIN FACNAME 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 17.611 33.103 58.869 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 4.931 5.535 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.778 0.133 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Redland Brick 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 25.055 0.000 R. Paul Smith Power Station 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.417 0.045 0.001 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.143 0.006 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.295 0.073 0.002 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.279 0.231 0.010 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.791 0.120 0.017 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.367 0.208 0.024 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.616 0.094 0.016 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.455 0.069 0.010 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.375 0.058 0.004 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.643 0.098 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.038 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 1.231 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 13.662 0.442 0.004 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 25.862 0.443 0.007 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 11.084 0.297 0.006 Mack Trucks 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 7.852 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.078 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.513 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1405.499 68.903 1209.046 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.600 9.790 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 2.579 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 11.519 0.000 Holcim (US), Inc. 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.095 0.777 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.180 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture

CNTY
NAME NH3 2025 NOX

2025 P25

2025_TF SO2

2025APP_C-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2025 NOX

2025 P25

2025_TF SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Statton Furniture 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.038 0.027 0.007 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Mattern Materials 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.128 1.825 0.278 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.002 0.000 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.946 0.200 0.694 Craig Blacktop Paving 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 1.544 0.178 0.470 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.798 0.212 0.018 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.795 0.212 0.016 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.793 0.212 0.016 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.334 0.008 0.000 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.287 0.007 0.000 Washington County Hospital 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.910 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.660 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.191 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.255 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.648 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.263 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.383 0.145 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.092 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.520 0.472 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.463 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rayloc 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.558 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Rust-oleum Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.442 0.034 0.003 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.220 0.016 0.001 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Stevens Flexible Packaging/AMCOR Packaging 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes CorporationAPP_C-1_NonEGU

FIPS NONATTAIN FACNAME

CNTY
NAME NH3 2025 NOX

2025 P25

2025_TF SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.051 0.004 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Xerxes Corporation 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.633 0.113 0.001 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.140 0.019 0.000 Fil-tec 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 5.303 3.316 1.060 C. William Hetzer/beaver Creek Wst 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.562 0.363 0.029 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 2.101 0.245 0.024 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.560 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Engineered Polymer Solutions 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.104 0.009 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color 24043 Washington Hagerstown-Martinsburg, MD-WV 0.000 0.000 0.000 0.000 Phoenix Color

# Appendix C-2

2025 Area Source Em issionsAPP_C-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION 24043 Washington Hagerstown-Martinsburg, MD-WV 2103002000 Stationary Fuel Comb /Commercial/Institutional /Bituminous/Subbituminous Co 0.0227 8.3078 1.0876 57.3996 24043 Washington Hagerstown-Martinsburg, MD-WV 2103004000 Stationary Fuel Comb /Commercial/Institutional /Distillate Oil /Total: Boil 1.0106 25.2674 2.4846 0.2729 24043 Washington Hagerstown-Martinsburg, MD-WV 2103005000 Stationary Fuel Comb /Commercial/Institutional /Residual Oil /Total: All Bo 0.0153 1.0570 0.1299 1.5209 24043 Washington Hagerstown-Martinsburg, MD-WV 2103006000 Stationary Fuel Comb /Commercial/Institutional /Natural Gas /Total: Boilers 0.3373 59.6501 0.0787 0.4161 24043 Washington Hagerstown-Martinsburg, MD-WV 2103007000 Stationary Fuel Comb /Commercial/Institutional /Liquified Petroleum Gas /To 0.0118 3.1149 0.0000 0.0135 24043 Washington Hagerstown-Martinsburg, MD-WV 2103011000 Stationary Fuel Comb /Commercial/Institutional /Kerosene /Total: All Combus 0.0349 0.8771 0.0904 0.0091 24043 Washington Hagerstown-Martinsburg, MD-WV 2104002000 Stationary Fuel Comb /Residential /Bituminous/Subbituminous Coal /Total: Al 0.0445 0.2026 0.0855 1.3805 24043 Washington Hagerstown-Martinsburg, MD-WV 2104004000 Stationary Fuel Comb /Residential /Distillate Oil /Total: All Combustor Typ 4.0947 73.7048 8.7214 0.8845 24043 Washington Hagerstown-Martinsburg, MD-WV 2104006000 Stationary Fuel Comb /Residential /Natural Gas /Total: All Combustor Types 9.5749 45.0059 0.1551 0.2843 24043 Washington Hagerstown-Martinsburg, MD-WV 2104007000 Stationary Fuel Comb /Residential /Liquified Petroleum Gas /Total: All Comb 0.0770 20.3257 0.0129 0.0877 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008100 Stationary Fuel Comb /Residential /Wood /Fireplace: general 1.9051 2.7518 24.9775 0.4233 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008210 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; non- 0.9641 1.5880 17.3542 0.2269 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008220 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.3473 0.8799 7.5638 0.1544 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008230 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA 0.1161 0.2580 2.6313 0.0516 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008310 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, non-EPA c 1.9998 3.2937 35.9957 0.4705 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008320 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.7222 1.8297 15.7287 0.3210 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008330 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi 0.2413 0.5363 5.4705 0.1073 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008400 Stationary Fuel Comb /Residential /Wood /Woodstove: pellet-fired, general ( 0.0502 0.6361 0.5123 0.0536 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008510 Stationary Fuel Comb /Residential /Wood /Furnace: Indoor, cordwood-fired, n 0.6422 0.6570 9.8474 0.7243 24043 Washington Hagerstown-Martinsburg, MD-WV 2104008610 Stationary Fuel Comb /Residential /Wood /Hydronic heater: outdoor 0.8895 0.9099 13.6393 1.0032 24043 Washington Hagerstown-Martinsburg, MD-WV 2104009000 Stationary Fuel Comb /Residential /Firelog /Total: All Combustor Types 0.0000 0.9527 3.5211 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2104011000 Stationary Fuel Comb /Residential /Kerosene /Total: All Heater Types 0.2750 4.9490 0.5900 0.0572 24043 Washington Hagerstown-Martinsburg, MD-WV 2294000000 Paved Roads /All Paved Roads /Total: Fugitives 0.0000 0.0000 36.3043 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2296000000 Unpaved Roads /All Unpaved Roads /Total: Fugitives 0.0000 0.0000 1.0742 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002100 Food & Kindred Products /Commercial Cooking - Charbroiling /Conveyorized Ch 0.0000 0.0000 6.0852 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302002200 Food & Kindred Products /Commercial Cooking - Charbroiling /Under-fired Cha 0.0000 0.0000 36.5707 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003000 Food & Kindred Products /Commercial Cooking - Frying /Deep Fat Fying 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003100 Food & Kindred Products /Commercial Cooking - Frying /Flat Griddle Frying 0.0000 0.0000 7.4522 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302003200 Food & Kindred Products /Commercial Cooking - Frying /Clamshell Griddle Fry 0.0000 0.0000 0.6568 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302050000 Food & Kindred Products /Bakery Products /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2302070001 Food & Kindred Products /Fermentation/Beverages /Breweries 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311010000 Construction: SIC 15 - 17 /Residential /Total 0.0000 0.0000 1.0355 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311020000 Construction: SIC 15 - 17 /Industrial/Commercial/Institutional /Total 0.0000 0.0000 22.0046 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2311030000 Construction: SIC 15 - 17 /Road Construction /Total 0.0000 0.0000 7.1977 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401002000 Surface Coating /Architectural Coatings - Solvent-based /Total: All Solvent 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401003000 Surface Coating /Architectural Coatings - Water-based /Total: All Solvent T 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401005000 Surface Coating /Auto Refinishing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401008000 Surface Coating /Traffic Markings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401015000 Surface Coating /Factory Finished Wood /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401020000 Surface Coating /Wood Furniture /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401025000 Surface Coating /Metal Furniture /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401030000 Surface Coating /Paper /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401040000 Surface Coating /Metal Cans /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401055000 Surface Coating /Machinery & Equipment /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401060000 Surface Coating /Large Appliances /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 NH3 2025 NOX

2025 P25

2025_TF SO2

2025APP_C-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2025 NOX

2025 P25

2025_TF SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2401065000 Surface Coating /Electronic & Other Electrical /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401070000 Surface Coating /Motor Vehicles /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401075000 Surface Coating /Aircraft /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401080000 Surface Coating /Marine /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401085000 Surface Coating /Railroad /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401090000 Surface Coating /Misc Manufacturing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401100000 Surface Coating /Industrial Maintenance Coatings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2401200000 Surface Coating /Other Special Purpose Coatings /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2415300000 Degreasing /All Industries: Cold Cleaning /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2420000000 Dry Cleaning /All Processes /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2425000000 Graphic Arts /All Processes /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2440020000 Misc Industrial /Adhesive (Industrial) Application /Total: All Solvent Type 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460100000 Misc Non-indus: Consumer & Comm /All Personal Care Products /Total: All Sol 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460200000 Misc Non-indus: Consumer & Comm /All Household Products /Total: All Solvent 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460400000 Misc Non-indus: Consumer & Comm /All Auto Aftermarket Products /Total: All 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460500000 Misc Non-indus: Consumer & Comm /All Coatings & Related Products /Total: Al 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460600000 Misc Non-indus: Consumer & Comm /All Adhesives & Sealants /Total: All Solve 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460800000 Misc Non-indus: Consumer & Comm /All FIFRA Related Products /Total: All Sol 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2460900000 Misc Non-indus: Consumer & Comm /Misc Products (Not Otherwise Covered) /Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461020000 Misc Non-industrial: Commercial /Asphalt Application: All Processes /Total: 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461021000 Misc Non-industrial: Commercial /Cutback Asphalt /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461022000 Misc Non-industrial: Commercial /Emulsified Asphalt /Total: All Solvent Typ 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461023000 Misc Non-industrial: Commercial /Asphalt Roofing /Total: All Solvent Types 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2461800000 Misc Non-industrial: Commercial /Pesticide Application: All Processes /Tota 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011011 Residential Portable Gas Cans /Permeation 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011012 Residential Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501011013 Residential Portable Gas Cans /Spillage During Transport 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012011 Commercial Portable Gas Cans /Permeation 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012012 Commercial Portable Gas Cans /Evaporation (includes Diurnal losses) 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501012013 Commercial Portable Gas Cans /Spillage During Transport 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060051 Gasoline Service Stations /Stage 1: Submerged Filling 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060053 Gasoline Service Stations /Stage 1: Balanced Submerged Filling 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501060201 Gasoline Service Stations /Underground Tank: Breathing and Emptying 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080050 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 1: Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2501080100 Petrol & Petrol Product Storage /Airports : Aviation Gasoline /Stage 2: Tot 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020030 Petrol & Petrol Product Transport /Marine Vessel /Crude Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020060 Petrol & Petrol Product Transport /Marine Vessel /Residual Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020090 Petrol & Petrol Product Transport /Marine Vessel /Distillate Oil 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020120 Petrol & Petrol Product Transport /Marine Vessel /Gasoline 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020150 Petrol & Petrol Product Transport /Marine Vessel /Jet Naphtha 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505020180 Petrol & Petrol Product Transport /Marine Vessel /Kerosene 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2505030120 Petrol & Petrol Product Transport /Truck /Gasoline 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2601000000 On-site Incineration /All Categories /Total 0.0000 26.1400 0.0000 13.0400 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000100 Open Burning /All Categories /Yard Waste - Leaf Species Unspecified 0.0000 2.3000 8.1406 0.2843 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000400 Open Burning /All Categories /Yard Waste - Brush Species Unspecified 0.0000 2.1708 6.5900 0.7236APP_C-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2025 NOX

2025 P25

2025_TF SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2610000500 Open Burning /All Categories /Land Clearing Debris (use 28-10-005-000 for L 0.0000 31.8300 108.2300 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2610030000 Open Burning /Residential /Household Waste (use 26-10-000-xxx for Yard Wast 0.0000 18.5813 107.7532 3.1012 24043 Washington Hagerstown-Martinsburg, MD-WV 2620030000 Landfills /Municipal /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2630020000 Wastewater Treatment /Public Owned /Total Processed 4.8714 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2660000000 Leaking Underground Storage Tanks /Leaking Underground Storage Tanks /Total 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801000003 Agric - Crops /Tilling 0.0000 0.0000 34.8742 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700001 Agric - Crops /Fertilizer Application /Anhydrous Ammonia 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700002 Agric - Crops /Fertilizer Application /Aqueous Ammonia 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700003 Agric - Crops /Fertilizer Application /Nitrogen Solutions 68.2843 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700004 Agric - Crops /Fertilizer Application /Urea 84.8253 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700005 Agric - Crops /Fertilizer Application /Ammonium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700006 Agric - Crops /Fertilizer Application /Ammonium Sulfate 1.1293 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700007 Agric - Crops /Fertilizer Application /Ammonium Thiosulfate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700010 Agric - Crops /Fertilizer Application /N-P-K (multi-grade nutrient fertiliz 17.1720 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700011 Agric - Crops /Fertilizer Application /Calcium Ammonium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700012 Agric - Crops /Fertilizer Application /Potassium Nitrate 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700013 Agric - Crops /Fertilizer Application /Diammonium Phosphate 0.8857 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700014 Agric - Crops /Fertilizer Application /Monoammonium Phosphate 0.1499 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700015 Agric - Crops /Fertilizer Application /Liquid Ammonium Polyphosphate 0.3135 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2801700099 Agric - Crops /Fertilizer Application /Miscellaneous Fertilizers 3.5311 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001100 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 7.5906 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001200 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 0.0030 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805001300 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots 5.7657 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805002000 Agric - Livestock /Beef cattle production composite /Not Elsewhere Classifi 29.2250 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805003100 Agric - Livestock /Beef cattle - finishing operations on pasture/range /Co 20.7617 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007100 Agric - Livestock /Poultry production - layers with dry manure management s 112.8007 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805007300 Agric - Livestock /Poultry production - layers with dry manure management s 5.0780 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008100 Agric - Livestock /Poultry production - layers with wet manure management s 1.6662 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008200 Agric - Livestock /Poultry production - layers with wet manure management s 5.7128 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805008300 Agric - Livestock /Poultry production - layers with wet manure management s 0.9971 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009100 Agric - Livestock /Poultry production - broilers /Confinement 0.1587 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009200 Agric - Livestock /Poultry production - broilers /Manure handling and stora 0.0287 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805009300 Agric - Livestock /Poultry production - broilers /Land application of manur 0.1295 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010100 Agric - Livestock /Poultry production - turkeys /Confinement 0.0719 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010200 Agric - Livestock /Poultry production - turkeys /Manure handling and storag 0.0129 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805010300 Agric - Livestock /Poultry production - turkeys /Land application of manure 0.0648 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805018000 Agric - Livestock /Dairy cattle composite /Not Elsewhere Classified 142.8192 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019100 Agric - Livestock /Dairy cattle - flush dairy /Confinement 6.2946 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019200 Agric - Livestock /Dairy cattle - flush dairy /Manure handling and storage 17.5879 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805019300 Agric - Livestock /Dairy cattle - flush dairy /Land application of manure 1.6662 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021100 Agric - Livestock /Dairy cattle - scrape dairy /Confinement 74.5834 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021200 Agric - Livestock /Dairy cattle - scrape dairy /Manure handling and storage 81.7243 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805021300 Agric - Livestock /Dairy cattle - scrape dairy /Land application of manure 163.9776 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022100 Agric - Livestock /Dairy cattle - deep pit dairy /Confinement 8.0005 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022200 Agric - Livestock /Dairy cattle - deep pit dairy /Manure handling and stora 0.3742 0.0000 0.0000 0.0000APP_C-2

FIPS CNTY_NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION NH3 2025 NOX

2025 P25

2025_TF SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2805022300 Agric - Livestock /Dairy cattle - deep pit dairy /Land application of manur 4.4962 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023100 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Confinement 54.4829 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023200 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Manure handling and 0.8490 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805023300 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Land application of 72.7320 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805025000 Agric - Livestock /Swine production composite /Not Elsewhere Classified (se 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030000 Agric - Livestock /Poultry Waste Emissions /Not Elsewhere Classified (see a 0.0733 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030007 Agric - Livestock /Poultry Waste Emissions /Ducks 11.8619 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805030008 Agric - Livestock /Poultry Waste Emissions /Geese 0.0152 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805035000 Agric - Livestock /Horses & Ponies Waste Emissions /Not Elsewhere Classifie 15.6043 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039100 Agric - Livestock /Swine production - operations with lagoons (unspecified 5.1045 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039200 Agric - Livestock /Swine production - operations with lagoons (unspecified 12.7479 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805039300 Agric - Livestock /Swine production - operations with lagoons (unspecified 0.8503 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805040000 Agric - Livestock /Sheep & Lambs Waste Emissions /Total 5.8847 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805045000 Agric - Livestock /Goats Waste Emissions /Not Elsewhere Classified 11.0553 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047100 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 16.7945 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805047300 Agric - Livestock /Swine production - deep-pit house operations (unspecifie 11.9942 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2805053100 Agric - Livestock /Swine production - outdoor operations (unspecified anima 0.1878 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810001000 Forest Wildfires - Wildfires - Unspecified 0.0000 0.2222 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810005000 Managed Burning, Slash (Logging Debris) /Unspecified Burn Method (use 26100 0.0000 0.0000 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810015000 Prescribed Forest Burning /Unspecified 0.0000 0.4640 1.8050 0.1270 24043 Washington Hagerstown-Martinsburg, MD-WV 2810030000 Structure Fires /Unspecified 0.0000 0.2263 0.0000 0.0000 24043 Washington Hagerstown-Martinsburg, MD-WV 2810050000 Motor Vehicle Fires /Unspecified 0.0000 0.0628 1.6317 0.0000

# Appendix C-3

2025 On-Road M obile Source Emissions

## Table: VII - 2025 PM2.5 Re-designation Annual Emissions Summary (Based on the SHA-PPSuite-MOVES Process)

County VMT NOx Total PM2.5 SO2 NH3 Washington County 2,786,455,965 2,312.19 77.79 20.82 74.45

Washington County Mobile Budget 2,774.63 93.35


### Notes: 1. Emission Estimates are in short tons per year. 2. VMT estimates are in million miles per year. 3. Washington area estimates are being developed by MWCOG. 4. Totals may not add due to rounding errors.

# Appendix C-4

2025 Off-Road Mob ile Source EmissionsAPP_C-4_MAR

FIPS CNTY_NAME AREA SCC SCC_DESCRIPTION 24043 Washington Hagerstown-Martinsburg, MD-WV 2265008005 Airport Ground Support Equipment, 4-Stroke Gasoline 0.000 0.822 0.018 24043 Washington Hagerstown-Martinsburg, MD-WV 2267008005 Airport Ground Support Equipment, LPG 0.000 0.227 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2268008005 Airport Ground Support Equipment, CNG 0.000 0.064 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270008005 Airport Ground Support Equipment, Diesel 0.000 3.909 0.085 24043 Washington Hagerstown-Martinsburg, MD-WV 2275001000 Aircraft /Military Aircraft /Total 0.000 0.628 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275020000 Aircraft /Commercial Aircraft /Total: All Types 0.000 0.431 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275050000 Aircraft /General Aviation /Total 0.000 1.938 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2275060000 Aircraft /Air Taxi /Total 0.000 0.923 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002006 Railroad Equipment /Diesel /Line Haul Locomotives: Class I Operations 0.000 108.968 2.327 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002007 Railroad Equipment /Diesel /Line Haul Locomotives: Class II / III Operations 0.000 2.376 0.068 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002008 Railroad Equipment /Diesel /Line Haul Locomotives: Passenger Trains (Amtrak) 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002009 Railroad Equipment /Diesel /Line Haul Locomotives: Commuter Lines 0.000 1.893 0.049 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002010 Railroad Equipment /Diesel /Yard Locomotives 0.000 21.657 0.463 NH3 2025 NOX

2025 P25

2025APP_C-4_MAR

0.035
0.010
0.003
0.165
0.234
0.110
0.724
0.323
0.011
0.000
0.000
0.000
0.001 SO2 2025APP_C-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001010 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Motorcycles: Off-road 0.008 0.749 1.890 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001020 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Snowmobiles 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001030 Off-highway Gasoline, 2-Stroke /Recreational Equipt /All Terrain Vehicles 0.008 1.058 0.328 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2260001060 Off-highway Gasoline, 2-Stroke /Recreational Equipt /Specialty Vehicles/Carts 0.002 0.226 0.014 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002006 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Tampers/Rammers 0.000 0.048 0.274 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002009 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Plate Compactors 0.000 0.003 0.010 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002021 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Paving Equipt 0.000 0.004 0.012 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002027 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Signal Boards/Ligh 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002039 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Concrete/Industria 0.001 0.127 0.715 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260002054 Off-highway Gasoline, 2-Stroke /Construction & Mining Equipt /Crushing/Processin 0.000 0.001 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260003030 Off-highway Gasoline, 2-Stroke /Industrial Equipt /Sweepers/Scrubbers 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260003040 Off-highway Gasoline, 2-Stroke /Industrial Equipt /Other General Industrial Equi 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004015 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Res 0.000 0.014 0.041 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004016 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Com 0.001 0.078 0.227 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004020 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Chain Saws < 6 HP (Residen 0.001 0.196 0.567 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004021 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Chain Saws < 6 HP (Commerc 0.006 0.859 4.665 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004025 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.002 0.274 0.818 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004026 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.005 0.754 2.436 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004030 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Resid 0.001 0.175 0.512 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004031 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Comme 0.005 0.699 2.770 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004035 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Snowblowers (Residential) 0.001 0.063 0.196 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004036 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Snowblowers (Commercial) 0.002 0.166 0.515 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2260004071 Off-highway Gasoline, 2-Stroke /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.000 0.000 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260005035 Off-highway Gasoline, 2-Stroke /Agricultural Equipt /Sprayers 0.000 0.004 0.011 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006005 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Generator Sets 0.000 0.024 0.071 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006010 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Pumps 0.001 0.162 0.526 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006015 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Air Compressors 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260006035 Off-highway Gasoline, 2-Stroke /Commercial Equipt /Hydro-power Units 0.000 0.001 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2260007005 Off-highway Gasoline, 2-Stroke /Logging Equipt /Chain Saws : 6 HP 0.000 0.012 0.072 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001010 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Motorcycles: Off-road 0.003 0.482 0.055 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001030 Off-highway Gasoline, 4-Stroke /Recreational Equipt /All Terrain Vehicles 0.026 3.508 0.514 0.028 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001050 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Golf Carts 0.004 0.578 0.034 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2265001060 Off-highway Gasoline, 4-Stroke /Recreational Equipt /Specialty Vehicles/Carts 0.001 0.295 0.010 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002003 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Pavers 0.000 0.040 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002006 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Tampers/Rammers 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002009 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Plate Compactors 0.000 0.076 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002015 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rollers 0.000 0.072 0.004 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002021 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Paving Equipt 0.001 0.141 0.009 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002024 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Surfacing Equipt 0.000 0.061 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002027 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Signal Boards/Ligh 0.000 0.003 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002030 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Trenchers 0.001 0.125 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002033 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Bore/Drill Rigs 0.000 0.056 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002039 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Concrete/Industria 0.002 0.271 0.015 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002042 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Cement & Mortar Mi 0.001 0.124 0.008 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002045 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Cranes 0.000 0.011 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002054 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Crushing/Processin 0.000 0.017 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002057 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rough Terrain Fork 0.000 0.013 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002060 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Rubber Tire Loader 0.000 0.031 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002066 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Tractors/Loaders/B 0.001 0.086 0.005 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002072 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Skid Steer Loaders 0.000 0.064 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002078 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Dumpers/Tenders 0.000 0.020 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265002081 Off-highway Gasoline, 4-Stroke /Construction & Mining Equipt /Other Construction 0.000 0.018 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003010 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Aerial Lifts 0.000 0.056 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003020 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Forklifts 0.000 0.030 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003030 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Sweepers/Scrubbers 0.000 0.004 0.000 0.000 NH3
2025 NOX

2025 PM25

2025 SO2

2025APP_C-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2025 NOX

2025 PM25

2025 SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003040 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other General Industrial Equi 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003050 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other Material H&ling Equipt 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003060 Off-highway Gasoline, 4-Stroke /Industrial Equipt /AC\Refrigeration 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265003070 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Terminal Tractors 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004010 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn Mowers (Residential) 0.015 2.128 0.245 0.016 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004011 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn Mowers (Commercial) 0.013 1.956 0.243 0.014 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004015 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Res 0.001 0.178 0.021 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004016 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rotary Tillers < 6 HP (Com 0.007 0.978 0.115 0.007 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004025 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.000 0.012 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004026 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Trimmers/Edgers/Brush Cutt 0.000 0.045 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004030 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Resid 0.000 0.023 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004031 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Leafblowers/Vacuums (Comme 0.012 1.789 0.102 0.013 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004035 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Snowblowers (Residential) 0.002 0.451 0.010 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004036 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Snowblowers (Commercial) 0.004 1.185 0.026 0.005 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004040 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rear Engine Riding Mowers 0.003 0.415 0.022 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004041 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Rear Engine Riding Mowers 0.001 0.209 0.011 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004046 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Front Mowers (Commercial) 0.002 0.241 0.012 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004051 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Shredders < 6 HP (Commerci 0.001 0.112 0.013 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004055 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn & Garden Tractors (Re 0.039 5.555 0.293 0.042 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004056 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Lawn & Garden Tractors (Co 0.020 2.842 0.154 0.021 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004066 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Chippers/Stump Grinders (C 0.003 0.461 0.026 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004071 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.064 9.196 0.615 0.068 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004075 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Other Lawn & Garden Equipt 0.001 0.204 0.017 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265004076 Off-highway Gasoline, 4-Stroke /Lawn & Garden Equipt /Other Lawn & Garden Equipt 0.002 0.287 0.024 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005010 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /2-Wheel Tractors 0.000 0.007 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005015 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Agricultural Tractors 0.000 0.026 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005020 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Combines 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005025 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Balers 0.000 0.048 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005030 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Agricultural Mowers 0.000 0.006 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005035 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Sprayers 0.000 0.094 0.004 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005040 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Tillers : 6 HP 0.001 0.197 0.006 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005045 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Swathers 0.000 0.076 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005055 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Other Agricultural Equipt 0.000 0.093 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265005060 Off-highway Gasoline, 4-Stroke /Agricultural Equipt /Irrigation Sets 0.000 0.044 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006005 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Generator Sets 0.029 4.447 0.248 0.032 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006010 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Pumps 0.007 1.173 0.090 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006015 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Air Compressors 0.004 0.597 0.042 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006025 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Welders 0.008 1.289 0.069 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006030 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Pressure Washers 0.013 2.029 0.154 0.014 24043 Washington Hagerstown-Martinsburg, MD-WV 2265006035 Off-highway Gasoline, 4-Stroke /Commercial Equipt /Hydro-power Units 0.001 0.097 0.006 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2265007010 Off-highway Gasoline, 4-Stroke /Logging Equipt /Shredders : 6 HP 0.000 0.025 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265007015 Off-highway Gasoline, 4-Stroke /Logging Equipt /Forest Equipt - Feller/Bunch/Ski 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2265010010 Off-highway Gasoline, 4-Stroke /Industrial Equipt /Other Oil Field Equipt 0.000 0.017 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267001060 Off-highway LPG /Recreational Equipt /Specialty Vehicles/Carts 0.000 0.042 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002003 Off-highway LPG /Construction & Mining Equipt /Pavers 0.000 0.007 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002015 Off-highway LPG /Construction & Mining Equipt /Rollers 0.000 0.012 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002021 Off-highway LPG /Construction & Mining Equipt /Paving Equipt 0.000 0.003 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002024 Off-highway LPG /Construction & Mining Equipt /Surfacing Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002030 Off-highway LPG /Construction & Mining Equipt /Trenchers 0.000 0.023 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002033 Off-highway LPG /Construction & Mining Equipt /Bore/Drill Rigs 0.000 0.023 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002039 Off-highway LPG /Construction & Mining Equipt /Concrete/Industrial Saws 0.000 0.021 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002045 Off-highway LPG /Construction & Mining Equipt /Cranes 0.000 0.011 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002054 Off-highway LPG /Construction & Mining Equipt /Crushing/Processing Equipt 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002057 Off-highway LPG /Construction & Mining Equipt /Rough Terrain Forklifts 0.000 0.015 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002060 Off-highway LPG /Construction & Mining Equipt /Rubber Tire Loaders 0.000 0.035 0.002 0.000APP_C-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2025 NOX

2025 PM25

2025 SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002066 Off-highway LPG /Construction & Mining Equipt /Tractors/Loaders/Backhoes 0.000 0.004 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002072 Off-highway LPG /Construction & Mining Equipt /Skid Steer Loaders 0.000 0.041 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267002081 Off-highway LPG /Construction & Mining Equipt /Other Construction Equipt 0.000 0.019 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003010 Off-highway LPG /Industrial Equipt /Aerial Lifts 0.000 0.304 0.012 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003020 Off-highway LPG /Industrial Equipt /Forklifts 0.000 18.023 1.124 0.209 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003030 Off-highway LPG /Industrial Equipt /Sweepers/Scrubbers 0.000 0.138 0.009 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003040 Off-highway LPG /Industrial Equipt /Other General Industrial Equipt 0.000 0.042 0.003 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003050 Off-highway LPG /Industrial Equipt /Other Material H&ling Equipt 0.000 0.014 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267003070 Off-highway LPG /Industrial Equipt /Terminal Tractors 0.000 0.084 0.005 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267004066 Off-highway LPG /Lawn & Garden Equipt /Chippers/Stump Grinders (Commercial) 0.000 0.139 0.009 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267005055 Off-highway LPG /Agricultural Equipt /Other Agricultural Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267005060 Off-highway LPG /Agricultural Equipt /Irrigation Sets 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006005 Off-highway LPG /Commercial Equipt /Generator Sets 0.000 1.241 0.030 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006010 Off-highway LPG /Commercial Equipt /Pumps 0.000 0.160 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006015 Off-highway LPG /Commercial Equipt /Air Compressors 0.000 0.138 0.009 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006025 Off-highway LPG /Commercial Equipt /Welders 0.000 0.173 0.011 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006030 Off-highway LPG /Commercial Equipt /Pressure Washers 0.000 0.003 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2267006035 Off-highway LPG /Commercial Equipt /Hydro-power Units 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268002081 Off-highway CNG /Construction & Mining Equipt /Other Construction Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003020 Off-highway CNG /Industrial Equipt /Forklifts 0.000 1.284 0.076 0.014 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003030 Off-highway CNG /Industrial Equipt /Sweepers/Scrubbers 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003040 Off-highway CNG /Industrial Equipt /Other General Industrial Equipt 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003060 Off-highway CNG /Industrial Equipt /AC\Refrigeration 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268003070 Off-highway CNG /Industrial Equipt /Terminal Tractors 0.000 0.006 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268005055 Off-highway CNG /Agricultural Equipt /Other Agricultural Equipt 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268005060 Off-highway CNG /Agricultural Equipt /Irrigation Sets 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006005 Off-highway CNG /Commercial Equipt /Generator Sets 0.000 0.373 0.007 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006010 Off-highway CNG /Commercial Equipt /Pumps 0.000 0.011 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006015 Off-highway CNG /Commercial Equipt /Air Compressors 0.000 0.009 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006020 Off-highway CNG /Commercial Equipt /Gas Compressors 0.000 0.343 0.021 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2268006035 Off-highway CNG /Commercial Equipt /Hydro-power Units 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2268010010 Off-highway CNG /Industrial Equipt /Other Oil Field Equipt 0.000 0.011 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270001060 Off-highway Diesel /Recreational Equipt /Specialty Vehicles/Carts 0.001 0.860 0.084 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002003 Off-highway Diesel /Construction & Mining Equipt /Pavers 0.006 1.054 0.029 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002006 Off-highway Diesel /Construction & Mining Equipt /Tampers/Rammers 0.000 0.009 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002009 Off-highway Diesel /Construction & Mining Equipt /Plate Compactors 0.000 0.147 0.011 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002015 Off-highway Diesel /Construction & Mining Equipt /Rollers 0.015 3.045 0.117 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002018 Off-highway Diesel /Construction & Mining Equipt /Scrapers 0.016 2.012 0.088 0.010 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002021 Off-highway Diesel /Construction & Mining Equipt /Paving Equipt 0.001 0.229 0.011 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002024 Off-highway Diesel /Construction & Mining Equipt /Surfacing Equipt 0.001 0.232 0.012 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002027 Off-highway Diesel /Construction & Mining Equipt /Signal Boards/Light Plants 0.002 1.338 0.083 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002030 Off-highway Diesel /Construction & Mining Equipt /Trenchers 0.007 2.999 0.081 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002033 Off-highway Diesel /Construction & Mining Equipt /Bore/Drill Rigs 0.006 3.095 0.143 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002036 Off-highway Diesel /Construction & Mining Equipt /Excavators 0.061 6.479 0.201 0.036 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002039 Off-highway Diesel /Construction & Mining Equipt /Concrete/Industrial Saws 0.000 0.221 0.007 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002042 Off-highway Diesel /Construction & Mining Equipt /Cement & Mortar Mixers 0.000 0.150 0.010 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002045 Off-highway Diesel /Construction & Mining Equipt /Cranes 0.014 2.199 0.084 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002048 Off-highway Diesel /Construction & Mining Equipt /Graders 0.015 1.216 0.046 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002051 Off-highway Diesel /Construction & Mining Equipt /Off-highway Trucks 0.052 18.560 0.295 0.031 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002054 Off-highway Diesel /Construction & Mining Equipt /Crushing/Processing Equipt 0.002 0.691 0.020 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002057 Off-highway Diesel /Construction & Mining Equipt /Rough Terrain Forklifts 0.019 3.482 0.181 0.012 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002060 Off-highway Diesel /Construction & Mining Equipt /Rubber Tire Loaders 0.066 13.261 0.534 0.041 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002066 Off-highway Diesel /Construction & Mining Equipt /Tractors/Loaders/Backhoes 0.040 14.027 1.855 0.027 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002069 Off-highway Diesel /Construction & Mining Equipt /Crawler Tractor/Dozers 0.060 9.742 0.317 0.036 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002072 Off-highway Diesel /Construction & Mining Equipt /Skid Steer Loaders 0.028 16.349 1.734 0.019APP_C-4_NMIM

FIPS NAME NONATTAIN SCC SHORT_NAME NH3
2025 NOX

2025 PM25

2025 SO2

2025 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002075 Off-highway Diesel /Construction & Mining Equipt /Off-highway Tractors 0.007 2.269 0.063 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002078 Off-highway Diesel /Construction & Mining Equipt /Dumpers/Tenders 0.000 0.053 0.006 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270002081 Off-highway Diesel /Construction & Mining Equipt /Other Construction Equipt 0.006 1.728 0.097 0.004 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003010 Off-highway Diesel /Industrial Equipt /Aerial Lifts 0.002 1.099 0.106 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003020 Off-highway Diesel /Industrial Equipt /Forklifts 0.024 5.119 0.067 0.014 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003030 Off-highway Diesel /Industrial Equipt /Sweepers/Scrubbers 0.010 1.684 0.045 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003040 Off-highway Diesel /Industrial Equipt /Other General Industrial Equipt 0.010 1.832 0.076 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003050 Off-highway Diesel /Industrial Equipt /Other Material H&ling Equipt 0.000 0.204 0.019 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003060 Off-highway Diesel /Industrial Equipt /AC\Refrigeration 0.025 16.567 0.250 0.016 24043 Washington Hagerstown-Martinsburg, MD-WV 2270003070 Off-highway Diesel /Industrial Equipt /Terminal Tractors 0.015 1.311 0.036 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004031 Off-highway Diesel /Lawn & Garden Equipt /Leafblowers/Vacuums (Commercial) 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004036 Off-highway Diesel /Lawn & Garden Equipt /Snowblowers (Commercial) 0.000 0.133 0.006 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004046 Off-highway Diesel /Lawn & Garden Equipt /Front Mowers (Commercial) 0.008 6.394 0.330 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004056 Off-highway Diesel /Lawn & Garden Equipt /Lawn & Garden Tractors (Commercial) 0.002 1.525 0.113 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004066 Off-highway Diesel /Lawn & Garden Equipt /Chippers/Stump Grinders (Commercial) 0.011 4.992 0.287 0.008 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004071 Off-highway Diesel /Lawn & Garden Equipt /Turf Equipt (Commercial) 0.001 0.497 0.016 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270004076 Off-highway Diesel /Lawn & Garden Equipt /Other Lawn & Garden Equipt (Commercial 0.000 0.023 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005010 Off-highway Diesel /Agricultural Equipt /2-Wheel Tractors 0.000 0.002 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005015 Off-highway Diesel /Agricultural Equipt /Agricultural Tractors 0.103 37.182 2.195 0.067 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005020 Off-highway Diesel /Agricultural Equipt /Combines 0.009 4.332 0.300 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005025 Off-highway Diesel /Agricultural Equipt /Balers 0.000 0.031 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005030 Off-highway Diesel /Agricultural Equipt /Agricultural Mowers 0.000 0.004 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005035 Off-highway Diesel /Agricultural Equipt /Sprayers 0.001 0.363 0.024 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005040 Off-highway Diesel /Agricultural Equipt /Tillers : 6 HP 0.000 0.001 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005045 Off-highway Diesel /Agricultural Equipt /Swathers 0.001 0.369 0.033 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005055 Off-highway Diesel /Agricultural Equipt /Other Agricultural Equipt 0.002 0.801 0.057 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270005060 Off-highway Diesel /Agricultural Equipt /Irrigation Sets 0.001 0.356 0.018 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006005 Off-highway Diesel /Commercial Equipt /Generator Sets 0.014 8.473 0.486 0.010 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006010 Off-highway Diesel /Commercial Equipt /Pumps 0.003 1.919 0.120 0.002 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006015 Off-highway Diesel /Commercial Equipt /Air Compressors 0.009 2.858 0.089 0.006 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006020 Off-highway Diesel /Commercial Equipt /Gas Compressors 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006025 Off-highway Diesel /Commercial Equipt /Welders 0.005 2.994 0.254 0.003 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006030 Off-highway Diesel /Commercial Equipt /Pressure Washers 0.000 0.280 0.015 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270006035 Off-highway Diesel /Commercial Equipt /Hydro-power Units 0.000 0.147 0.005 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270007010 Off-highway Diesel /Logging Equipt /Shredders : 6 HP 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270007015 Off-highway Diesel /Logging Equipt /Forest Equipt - Feller/Bunch/Skidder 0.001 0.066 0.002 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2270009010 Off-highway Diesel /Underground Mining Equipt /Other Underground Mining Equipt 0.000 0.000 0.000 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2270010010 Off-highway Diesel /Industrial Equipt /Other Oil Field Equipt 0.000 0.070 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2282005010 Pleasure Craft /Gasoline 2-Stroke /Outboard 0.021 9.104 0.237 0.022 24043 Washington Hagerstown-Martinsburg, MD-WV 2282005015 Pleasure Craft /Gasoline 2-Stroke /Personal Water Craft 0.009 4.318 0.043 0.009 24043 Washington Hagerstown-Martinsburg, MD-WV 2282010005 Pleasure Craft /Gasoline 4-Stroke /Inboard/Sterndrive 0.006 2.530 0.036 0.007 24043 Washington Hagerstown-Martinsburg, MD-WV 2282020005 Pleasure Craft /Diesel /Inboard/Sterndrive 0.004 4.033 0.095 0.015 24043 Washington Hagerstown-Martinsburg, MD-WV 2282020010 Pleasure Craft /Diesel /Outboard 0.000 0.022 0.002 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285002015 Railroad Equipt /Diesel /Railway Maintenance 0.002 0.841 0.086 0.001 24043 Washington Hagerstown-Martinsburg, MD-WV 2285004015 Railroad Equipt /Gasoline, 4-Stroke /Railway Maintenance 0.000 0.018 0.001 0.000 24043 Washington Hagerstown-Martinsburg, MD-WV 2285006015 Railroad Equipt /LPG /Railway Maintenance 0.000 0.001 0.000 0.000

# Appendix D

Emission In ventory Documentation

# Technical Support Document
for the Development of the 2025 Emission Inventory
for PM Nonattainment Counties in the MANE-VU Region
Version 3.3

Rev.2

Prepared for:

Mid-Atlantic Regional Air Mana gement Association (MARAMA) 8600 LaSalle Road, Suite 636 Towson, MD 21286 (443) 901-1882

January 23, 2012 MARAMA Contract Agreement FY2011-004

Submitted by

AMEC Environment & Infrastructure SRA International, Inc. 4021 Stirrup Creek Drive 652 Peter Jefferson Parkway Suite 100 Suite 300 Durham, NC 27703 Charlottesville, VA 22911 919 381-9900 571 499-0833

Note: Revision 1 includes a revi sion by New Jersey to Exhibit 7.7.
Revision 2 includes revised CT & VA NMIM runs. – By MARAMA, Mar. 2012

### Acknowledgements

Funds for this CONTRACT are provided by MA RAMA’s Memorandum of Agreement with the Ozone Transport Commission (OTC), which is funded by USEPA grant agreement XA973181 – Regional Haze Planning in the Northeast and Mi d-Atlantic States (CFDA 66.034). The purpose of that Memorandum of Agreement is to support the Mid-Atlantic / Nort heast Visibility Union (MANE-VU) in developing programs to control regi onal haze or visibility impairment in the
Northeast and Mid-Atlantic states.

About MARAMA

The Mid-Atlantic Regional Air Management Association, Inc. is a voluntary, non-profit
association of ten state and local air pollution control agen cies. MARAMA's mission is to strengthen the skills and capabi lities of member agencies and to help them work together to prevent and reduce air pollution in the Mid-Atla ntic Region. MARAMA provides cost-effective approaches to regional collaboration by pooling re sources to develop and analyze data, share ideas, and train staff to implement common requirements.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page i



## Table of Contents

1.0 INTRODUCTION .............................................................................................................. ................................... 1

1.1 INVENTORY PURPOSE ....................................................................................................................... ........ 1
1.2 SOURCE CATEGORIES .................................................................................................................... ............ 1
1.3 GEOGRAPHIC AND TEMPORAL RESOLUTION ...................................................................................... 2
1.4 POLLUTANTS .................................................................................................................... ........................... 3
1.5 DATA FORMATS ....................................................................................................................... ................... 3
1.6 INVENTORY VERSIONS ...................................................................................................................... ....... 3
1.6.1 Version 2 Modeling Inventorie s with Existin g Controls ........................................................................ 3
1.6.2 Version 3 Modeling Inventorie s with Existin g Controls ........................................................................ 3
1.6.3 Version 3 2025 Inventory for PM Nonattainment Counties ................................................................... 4
1.7 REPORT ORGANIZATION .................................................................................................................. ........ 5

2.0 AREA SOURCES .............................................................................................................. .................................... 8

2.1 AREA SOURCE CATEGORIES .................................................................................................................... 8
2.2 2007 INVENTORY DEVELOPMENT ........................................................................................................... 8
2.2.1 Adjustments to the 2007 Inventory Used for the 2025 Projections ........................................................ 8
2.3 2025 INVENTORY DEVELOPMENT ......................................................................................................... 13
2.3.1 Area Source Growth Factors .................................................................................................... ........... 13

2.3.1.1 AEO Fuel Use Projection ....................................................................................................... ......................... 13
2.3.1.2 Population Pr ojections......................................................................................................... ............................ 14
2.3.1.3 Employment Pr ojecti ons ................................................................................................................................. 15
2.3.1.4 VMT Projections ............................................................................................................... .............................. 15
2.3.1.5 No Growth Assignment for Cert ain Area Source Categories ....................................................................... ... 25
2.3.1.6 USEPA 2020 Projections fo r Resident ial Wood ................................................................................... .......... 26
2.3.1.7 SCC, SIC, NAICS and Grow th Parameter Crosswalk ................................................................................ ..... 27
2.3.1.8 Final Version 2 Growth F actors for Area Sources ............................................................................... ........... 27
2.3.1.9 Version 3 Update to New Jersey Gr owth Factors for Area Sources ................................................................ 28
2.3.1.10 Version 3 Update to Growth Factors for the District of Columb ia ............................................................ 28
2.3.2 Area Source Cont rol Factors ................................................................................................... ............ 30

2.3.2.1 Federal Rules Affect ing Area Sources .......................................................................................... .................. 30
2.3.2.2 Federal MACT Rules ............................................................................................................ .......................... 30
2.3.2.3 OTC Model Rules fo r VOC Sources ............................................................................................... ................ 31
2.3.2.4 OTC Model Rule fo r ICI Boilers................................................................................................. .................... 32
2.3.2.5 MANE-VU Fuel Oil Sulfur Strategy .............................................................................................. ................. 33

3.0 POINT SOURCES ............................................................................................................. .................................. 45

3.1 POINT SOURCE CATEGORIES ................................................................................................................. 45
3.2 2007 INVENTORY DEVELOPMENT ......................................................................................................... 45
3.2.1 Adjustments to the 2007 Inventory Used for the 2025 Projections ...................................................... 46
3.3 2025 NONEGU INVENTORY DEVELOPMENT ....................................................................................... 47
3.3.1 NonEGU Growth Factors ......................................................................................................... ........... 47
3.3.2 Emission Reduc tion Credits .................................................................................................... ............. 49
3.3.3 NonEGU Control Factors ........................................................................................................ ............ 50

3.3.3.1 Federal Actions Affectin g NonEGU Poin t Sources ................................................................................ ........ 50Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page ii

3.3.3.2 OTC 2001 Model Rule s for N onEGUs .............................................................................................. ............. 52
3.3.3.3 OTC 2006 Model Rule s for N onEGUs .............................................................................................. ............. 52
3.3.3.4 MANE-VU Fuel Oil Sulfur Strategy .............................................................................................. ................. 55
3.3.3.5 State-specific NonE GU Control Factors ......................................................................................... ................ 55
3.4 2025 EGU INVENTORY DEVELOPMENT ................................................................................................ 57
3.4.1 EGU Growth Factors ............................................................................................................ ............... 58
3.4.2 EGU Control Factors ........................................................................................................... ............... 62
3.4.3 Consideration of CSAPR Emission A llowances ................................................................................... 63

4.0 NONROAD MOBILE SOURCES INCLUDED IN NMIM ............................................................................. 64

4.1 NONROAD MODEL CATEGORIES .......................................................................................................... 64
4.2 2007 INVENTORY DEVELOPMENT ......................................................................................................... 64
4.3 2025 INVENTORY DEVELOPMENT ......................................................................................................... 65
4.4 REMOVAL OF AIRPORT GROUND SUPPORT EQUIPMENT ................................................................ 65
4.5 NMIM/NONROAD GROWTH AND CONTROL INFORMATION ........................................................... 65

5.0 MARINE VESSELS, AIRPORTS, AND RAILROADS .................................................................................. 70

5.1 MAR INVENTORY CATEGORIES ............................................................................................................ 70
5.2 2007 INVENTORY DEVELOPMENT ......................................................................................................... 70
5.3 2025 INVENTORY DEVELOPMENT ......................................................................................................... 70
5.3.1 Commercial Mari ne Vessels ..................................................................................................... ........... 70

5.3.1.1 CMV Diesel Grow th Factors ..................................................................................................... ...................... 71
5.3.1.2 CMV Diesel Cont rol Factors .................................................................................................... ....................... 71
5.3.1.3 CMV Residual Oil Gr owth Factors ............................................................................................... .................. 72
5.3.1.4 CMV Residual Oil C ontrol Factors .............................................................................................. ................... 73
5.3.1.5 Military Vessels Growth and Control Factors ................................................................................... .............. 74
5.3.1.6 State-specific CM V Updates for 2025 ........................................................................................... ................. 74
5.3.2 Airports ...................................................................................................................... .......................... 74

5.3.2.1 Airport Growth Factors ........................................................................................................ ........................... 75
5.3.2.2 Aircraft Cont rol Factors ...................................................................................................... ............................ 76
5.3.2.3 State-specific Airpor t Updates for 2025

....................................................................................... ................... 77
5.3.3 Railroad Loco motives .......................................................................................................... ................ 77

5.3.3.1 Railroad Growth Factors ....................................................................................................... .......................... 77
5.3.3.2 Railroad Contro l Factors ...................................................................................................... ........................... 78
5.3.3.3 State-specific Railroa d Updates for 2025 ...................................................................................... .................. 79

6.0 ONROAD MOBILE SOURCES INCLUDED IN MOVES ............................................................................. 80

6.1 MOVES MODEL CATEGORIES ................................................................................................................ 80
6.2 2007 MOVES MODEL INVENTORY ......................................................................................................... 80
6.3 2025 MOVES MODEL INVENTORY ......................................................................................................... 80

7.0 EMISSION SUMMARIES ........................................................................................................ ......................... 81

8.0 DELIVE RABLES .............................................................................................................. .................................. 94

9.0 REFERENCES ................................................................................................................ .................................... 96Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page iii


## List of Appendices

Appendix A1 AEO2010 New England.xls Appendix A2 AEO2010 Mid Atlantic.xls Appendix A3 AEO2010 South Atlantic.xls Appendix A4 AEO2011 New England.xls Appendix A5 AEO2011 Mid Atlantic.xls Appendix A6 AEO2011 South Atlantic.xls Appendix A7 AEO2010 vs AEO2011 Comparison.docx Appendix B Population_Factors.xls Appendix C Employment_Factors.xls Appendix D VMT GF Nonattainment Counties.xls Appendix E EPA2020 Res Wood.xls Appendix F AEO2011-Electricity Generation by EMM.xlsx Appendix G UAF NEEDS Control FileMASTER92211.xls Appendix H MAR Growth and Control.xlsDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page iv



## List of Exhibits

Exhibit 1-1 Comparison of Data Used for the 2025 PM Nonattainment Inventory and Version 3 of the Modeling Inventory

Exhibit 1-2 List of PM Nonattainment Areas and Counties Exhibit 2-1 Area Source SCCs Affected by PM Transport Fraction Exhibit 2-2 PM Transport Fractions for PM Nonattainment Counties Exhibit 2-3 Comparison of 2007 Paved Road Dust PM10 Emission Estimates Exhibit 2-4 Comparison of 2007 Paved Road Dust PM2.5 Emission Estimates Exhibit 2-5 Growth Factors for Coal Fuel Use by AEO Region 2007 - 2025 Exhibit 2-6 Growth Factors for Residual Oil Fuel Use by AEO Region 2007 - 2025 Exhibit 2-7 Growth Factors for Distillate Oil Fuel Use by AEO Region 2007 - 2025 Exhibit 2-8 Growth Factors for Natural Gas Fuel Use by AEO Region 2007 - 2025 Exhibit 2-9 Growth Factors for Gasoline Fuel Use by AEO Region 2007 – 2025 Exhibit 2-10 Population Growth Factors by AEO Region 2007 – 2025 Exhibit 2-11 Employment Growth Factors by AEO Region 2007 – 2025

Exhibit 2-12 2007 and 2025 VMT and the 2007-2025 Growth Factor Exhibit 2-13 Area Source Categories with No Growth Assignment Exhibit 2-14 State Recommendations to Address Negative Growth and Other Growth Factors for the Area Source Sector

Exhibit 2-15 Exhibit 2-15 USEPA Estimated Percent Reductions for RICE MACT Standard Exhibit 2-16 Area Source Emission Reductions from New Jersey ICI Boiler NO x 

### Rules Exhibit 2-17 MANE-VU Low Sulfur Fuel Oil Strategy

Exhibit 2-18 Sulfur Content and Control Factors for Residential Fuel Oil Combustion

Exhibit 2-19 Sulfur Content and Control Factors for Distillate Fuel Oil Combustion

Exhibit 2-20 Sulfur Content and Control Factors for Residual Fuel Oil Combustion

Exhibit 3-1 NonEGU Point Source S CCs Affected by PM Transport Fraction Exhibit 3-2 State Recommendations to Address Negative Growth for the NonEGU Point Source Sector

Exhibit 3-3 USEPA Estimated Percent Reductions for RICE MACT Standard Exhibit 3-4 NonEGU Point Source Emission Reductions from New Jersey ICI Boiler NO x 

### Rules Exhibit 3.5 Electricity Market Module Regions Exhibit 3.6 Electricity Generation Growth Factors for Coal Exhibit 3.7 Electricity Generation Growth Factors for Petroleum Exhibit 3.8 Electricity Generation Growth Factors for Natural GasDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page v



### Exhibit 3.9 Electricity Generation Growth Factors for Renewables Exhibit 4-1 Control Programs In cluded in the NMIM/NONROAD Model Exhibit 5-1 CMV Diesel Control Factors by Year and Pollutant Exhibit 5-2 CMV Residual Oil Control Factors by Year and Pollutant Exhibit 5-3 Crosswalk between SCC and FAA Operations Type Exhibit 5-4 Region-wide Growth Facto rs from 2007 by FAA Operations Type Exhibit 5-5 Rail Control Factors by Year, Pollutant, and SCC Exhibit 7.1 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Allentown, PA Exhibit 7.2 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Baltimore, MD Exhibit 7.3 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Hagerstown-Martinsburg, MD-WV Exhibit 7.4 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Harrisburg-Lebanon-Carlisle-York, PA Exhibit 7.5 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Johnstown, PA Exhibit 7.6 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Lancaster, PA Exhibit 7.7 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Metro New York/Northern New Jersey/Long Island NY/NJ/CT Exhibit 7.8 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Philadelphia-Wilmington, PA/DE/NJ Exhibit 7.9 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Pittsburgh-Beaver Valley, PA Exhibit 7.10 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Reading, PA Exhibit 7.11 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Washington DC/MD/VA Exhibit 7.12 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: York, PA

Exhibit 8.1 Final DeliverablesDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page vi


## Acronyms and Abbreviations

Acronym Description

CAA Clean Air Act
CAMD Clean Air Markets Division (USEPA)
CEM Continuous emission monitoring
CMV Commercial marine vessel
CO Carbon monoxide
EGU Electric generating unit
ERTAC Eastern Regional Technical Advisory Committee
FIPS Federal Information Processing Standard
GSE Ground support equipment
MACT Maximum achievable control technology MANE-VU Mid-Atlantic/Northeast Visibility Union MANE-VU+VA MANE-VU states plus Virginia

MAR Marine, airport, rail MARAMA Mid-Atlantic Regional Air Management Association
MOBILE6 USEPA model
MOVES Motor Vehicle Emissions Simulator model
NAAQS National Ambient Air Quality Standards
NAICS North American Industry Classification System code
NCD National county database

NEI National Emission Inventory
NESCAUM Northeast States for Coordinated Air Use Management

NIF3.0 NEI Input Format Version 3.0

NMIM National Mobile Input Model
NOF3.0 NEI Output Format Version 3.0
NONROAD USEPA model



### NO x Oxides of nitrogen

ORL One-record-per-line (SMOKE format)
OTAQ Office of Transportation and Air Quality (USEPA)
PFC Portable fuel container
PM-CON Primary PM, condensable portion only ( < 1 micron)

PM-FIL Primary PM, Filterable portion only

PM-PRI Primary PM, includes filterable and condensable PM-PRI= PM-FIL + PM-CON PM10-FIL Primary PM10, filterable portion only

PM10-PRI Primary PM10, includes filterable and condensable, PM10- PRI = PM0-FIL + PM-CON PM25-FIL Primary PM2.5, filterable portion onlyDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page vii

Acronym Description

PM25-PRI Primary PM2.5, includes filterable and condensable PM25-PRI= PM25-FIL + PM-CON
RWC Residential wood combustion
SEMAP Southeast Modeling, Analysis and Planning
SIC Standard Industrial Classification code
SIP State Implementation Plan
SCC Source classification code
S/L State/local
SMOKE Sparse Matrix Operator Kernel Emissions
SO 2 Sulfur dioxide
TSD Technical Support Document
USEPA U.S. Environmental Protection Agency
VISTAS Visibility Improvement State and Tr ibal Association of the Southeast

VMT Vehicle miles traveled
VOC Volatile organic compoundsDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 1



## 1.0 INTRODUCTION

This technical support document (TSD) explains the data sources, methods, and results for preparing emission projections for 2025 for part iculate matter (PM) nonattainment areas in
the Mid-Atlantic / Northeast Visibilit y Union (MANE-VU) region. The MANE-VU region includes Connecticut, Delaware, the District of Columbia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont. Virginia is not included in the MANE-VU region; however , several cities and counties in northern Virginia were included in this inventory as they are part of a
nonattainment area that include s MANE-VU jurisdictions.

1.1 INVENTORY PURPOSE

The Clean Air Act (CAA), as amended, requires each state with areas failing to meet the National Ambient Air Quality Standards (NAAQS ) to develop State Implementation Plans (SIPs) to expeditiously attain and maintain the standards. The CAA allows states to request nonattainment areas to be re-designated to attainment provided certain criteria are met. For particulate matter, the U.S. Envi ronmental Protections Agency’s (USEPA’s) redesignation guidance requires th e submittal of a comprehensive inventory of direct PM2.5 emissions and emissions of PM precursors representative of the year when the area achieves attainment of the PM2.5 air quality standards. Another emission inventory related requirement includes a projection of th e emission inventory to a year at least 10 years following re-designation.

To support state’s efforts in developing PM2.5 maintenance plans and re-designation requests, MARAMA issued a contract to AM EC to assemble a comprehensive emission inventory for 2025. A workgroup was formed to guide the 2025 inventory development process. Participants included a member fr om each state with a PM2.5 nonattainment area, as follows: Paul Bodner (CT), Dave Fees and Jack Sipple (DE), Roger Thunell (MD), Judy Rand and Danny Wong (NJ), Ron Stannard (NY), Arleen Shulman (PA), and Doris McLeod (VA). The committee has met via telec onference on multiple occasions to discuss plans for the 2025 inventory. The 2025 inventor y was developed using a combination of MARAMA’s in-house resources, support from state agencies and c ontractor support from AMEC and SRA International, Inc.

1.2 SOURCE CATEGORIES

This report documents the development of an nual emission projections for 2025 for each of these sectors, as follows:Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 2



###  EGU Point Sources are units that generate electr ic power and sell most of the power generated to the electrical grid.

 NonEGU Point Sources are individual industrial, commercial, and institutional
facilities and are further s ubdivided by stack, emission unit, and emission process.

 Stationary Area Sources include sources that in and of themselves are quite small, but in aggregate may contribute signifi cant emissions. Examples include small
industrial/commercial faciliti es, residential heating fu rnaces, VOCs volatizing from house painting or consumer products, gaso line service stations , and agricultural fertilizer/pesticide application.

 Non-road Mobile Sources include internal combustion engines used to propel marine vessels, airplanes, and locomotiv es, or to operate equipment such as forklifts, lawn and garden equipment, porta ble generators, etc. For activities other than marine vessels, airplanes, and railr oad locomotives (MAR), the inventory was developed using the most current ve rsion of USEPA’s NONROAD model as embedded in the National Mobile Inventory Model (NMIM). Because the
NONROAD model does not incl ude emissions from MAR so urces, these emissions
were estimated based on data and methodol ogies used in recent USEPA regulatory impact analyses.

 On-road Mobile Sources are sources of air pollution from internal combustion engines used to propel cars, trucks, buses, and other vehicles on public roadways. Emission projections for on-road mobile sources were developed by MARAMA or state staff using USEPA’s Motor Vehicle Emission Simulator (MOVES) model.

Biogenic/geogenic emissions are not included in this inventory.

1.3 GEOGRAPHIC AND TEMPORAL RESOLUTION

The geographic area for the 2025 inventory includ es only those counties that are classified as nonattainment for the annual (1997) or daily (2006) particulat e matter NAAQS. The inventory was developed at the county-level for non-point sources and at the process level for point sources.

Annual inventories are required for re-designati on of areas designated as nonattainment for the 1997 and 2006 NAAQS. Other inventory elements required by USEPA (such as interim inventory years) are being addressed by individual states in their SIP submittals.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 3



### 1.4 POLLUTANTS

The inventory includes emissions for directly emitted PM and PM-precursors (oxides of nitrogen {NO x 

### }, and sulfur dioxide {SO 2 

### }). The PM species in the inventory are categorized as particles with an aerodynamic diameter less th an or equal to a nominal 2.5 micrometers (PM25-PRI), which includes bot h condensable particles (PM-CON) and filterable particles (PM25-FIL).

1.5 DATA FORMATS

For each sector, we prepared easy-to-review spreadsheets that provide 2007 emissions and 2025 growth factors, control factors, and emi ssions. We also prep ared county level and
nonattainment area summaries for all PM nonattainment counties and areas. The summaries show the 2007 and 2025 emissions, along with the percent ch ange in emissions
from 2007 to 2025 for each source sector.

1.6 INVENTORY VERSIONS

The development of base and future year invent ories is an iterative process that continually attempts to use the best data available to m eet air quality planning needs, given time and resource constraints. The following subsect ions summarize the work completed to date.

1.6.1 Version 2 Modeling Inventories with Existing Controls
MARAMA developed comprehensive emission i nventories to support air quality modeling in the region. MARAMA developed a calendar year 2007 (MARAMA 2011a) inventory for all sectors except the onroad sector. These inventories, completed in February of 2011,
are referred to as Version 2 of the M ANE-VU+VA 2007 base year inventory. The inventories were provided in formats required for air quality modeli ng. Under a separate effort, the Northeast States for Coordinate d Air Use Management (NESCAUM) developed a 2007 onroad inventory using the MOVES model to suppor t air quality modeling.

MARAMA also prepared emission proj ections for 2013/2017/2020 (MARAMA 2011b) for all sectors except the electric generation and onroad sect ors. These projections reflect a scenario representing the best estimates for the future year, accoun ting for all in-place controls that are fully adopted into federal orindividual state regulati ons or SIPs. In the past, this inventory is also referred to as the "on-the-books " inventory. Modelers often
refer to this scenario as the "future base case".

1.6.2 Version 3 Modeling Inventories with Existing Controls
Beginning in the fall of 2011, MARAMA sponsor ed development of Version 3_3 of the 2007 base year modeling inventory to incor porate new paved road emission estimates,Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 4



### revised modeling of nonroad and onroad s ources, and other state-specific changes (MARAMA2012a). MARAMA developed Versi on 3_3 of the future year inventory to account for changes to the 2007 base year inve ntory and selected changes in growth and
control factors identified by states (MARAMA2012b). The future year modeling inventories for electric generating units (EGUs) are currently being developed under a separate effort lead by the Eastern Regiona l Technical Advisory Committee (ERTAC). The future year modeling inventories for onr oad sources are curren tly being developed by NESCAUM, MARAMA or individual states.

1.6.3 Version 3 2025 Inventory for PM Nonattainment Counties
The 2025 inventory for PM nonattainment count ies was developed using Version 3_3 of the modeling inventory, with the following exceptions:

 Growth and control factors for 2025 were developed for the area, nonEGU point, and nonroad MAR sectors, using the same methodologies and data sources that were used to develop the 2017/2020 inve ntories with exis ting controls.

 For nonroad sources included in NMIM, Ve rsion 2 results were available for 2007, 2017, and 2020. MARAMA and New York made additional NMIM runs for 2025 based on Version 2 inputs. MARAMA made revisions to some of the inputs to NMIM for Version 3_3 of the modeling in ventory; however, these revised NMIM
runs were not used in the 2025 PM nona ttainment county inventory due to time
constraints.

 For onroad sources included in the MOVE S model, MARAMA and states executed the model in the inventory mode for 2007 and 2025. Version 3_3 of the modeling inventory used results of the MOVES m odel executed in a manner to support air quality modeling.

 For EGU point sources, the results of the ERTAC EGU projection methodology are not currently available. An alternat ive methodology for projecting EGU emissions based on growth and control factors wa s used, as described in Section 4.

 Only counties classified as nonattai nment for the PM2.5 annual or 24-hour NAAQS were included.

Exhibit 1-1 shows the data sources used for the 2025 PM nonattainment area inventory.
Exhibit 1-2 lists the countie s included in the 2025 PM nona ttainment area inventory.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 5



### 1.7 REPORT ORGANIZATION

Sections 2 to 6 describe the emission projection process fo r the following source sectors: area sources; point sources; nonroad mobile sources included in the NMIM model; other nonroad mobile sources (marine vessels, airc raft, and railroad locomotives); and onroad
mobile sources included in the MOVES mode l. Section 7 provides nonattainment area emission pollutant summaries. Section 8 provide s a description of the final deliverables, including the file names for all final deliver able products. References for the TSD are provided in Section 9.

Exhibit 1.1 – Comparison of Data Used for Version 3 of the Modeling Inventory and the 2025 PM Nonattainment Inventory

Sector Modeling Inventory 2025 PM Nonattainment Inventory

2007 2017/2020 2007 2025

Area Version 3_3 Version 3_3 Version 3_3 Version 3_3
Nonroad-NMIM Version 3_3 Version 3_3 Version 2 2025 NMIM run based on Version 2 inputs (1)
Nonroad-MAR Version 3_3 Version 3_3 Version 3_3 Version 3_3

Onroad MOVES runs by NESCAUM to

support AQ

modeling MOVES runs by NESCAUM to

support AQ

modeling MOVES runs by MARAMA or

states in inventory mode MOVES runs by MARAMA or

states in inventory mode

Point-EGU Version 3_3 To be developed by ERTAC Version 3_3 See section 4 for projection methodology
Point-nonEGU Version 3_3 Version 3_3 Version 3_3 Version 3_3


### (1) Except CT and VA where Version 3 inputs were used.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 6



### Exhibit 1.2 – List of PM Nonattainment Areas and Counties

Nonattainment Area State FIPS Code County PM Nonattainment?
2006 Daily NAAQS 1997 Annual NAAQS Allentown, PA PA 42077 Lehigh Yes Yes PA 42095 Northampton Yes Yes Baltimore, MD MD 24003 Anne Arundel No Yes MD 24005 Baltimore No Yes MD 24013 Carroll No Yes MD 24025 Harford No Yes MD 24027 Howard No Yes MD 24510 Baltimore City No Yes Hagerstown-Martinsburg, MD-WV MD 24043 Washington No Yes Harrisburg-Lebanon-Carlisle-York, PA PA 42041 Cumberland Yes Yes PA 42043 Dauphin Yes Yes PA 42075 Lebanon Yes Yes PA 42133 York* Yes No Johnstown, PA PA 42021 Cambria Yes Yes PA 42063 Indiana(P) Yes Yes Lancaster, PA PA 42071 Lancaster Yes Yes New York-N. New Jersey-Long Island, CT 09001 Fairfield Yes Yes NY-NJ-CT CT 09009 New Haven Yes Yes NJ 34003 Bergen Yes Yes NJ 34013 Essex Yes Yes NJ 34017 Hudson Yes Yes NJ 34021 Mercer Yes Yes NJ 34023 Middlesex Yes Yes NJ 34025 Monmouth Yes Yes NJ 34027 Morris Yes Yes NJ 34031 Passaic Yes Yes NJ 34035 Somerset Yes Yes NJ 34039 Union Yes Yes NY 36005 Bronx Yes Yes NY 36047 Kings Yes Yes NY 36059 Nassau Yes Yes NY 36061 New York Yes Yes NY 36071 Orange Yes Yes NY 36081 Queens Yes Yes NY 36085 Richmond Yes Yes NY 36087 Rockland Yes Yes NY 36103 Suffolk Yes Yes NY 36119 Westchester Yes Yes Philadelphia-Wilmington, PA-NJ-DE DE 10003 New Castle Yes Yes NJ 34005 Burlington Yes Yes NJ 34007 Camden Yes Yes NJ 34015 Gloucester Yes Yes PA 42017 Bucks Yes YesDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 7

Nonattainment Area State FIPS Code County PM Nonattainment?
2006 Daily NAAQS 1997 Annual NAAQS PA 42029 Chester Yes Yes PA 42045 Delaware Yes Yes PA 42091 Montgomery Yes Yes PA 42101 Philadelphia Yes Yes Pittsburgh-Beaver Valley, PA PA 42003 Allegheny(P) Yes Yes PA 42005 Armstrong(P) Yes Yes PA 42007 Beaver Yes Yes PA 42019 Butler Yes Yes PA 42059 Greene(P) Yes Yes PA 42073 Lawrence(P)* Yes Yes PA 42125 Washington Yes Yes PA 42129 Westmoreland Yes Yes Reading, PA PA 42011 Berks No Yes Washington, DC-MD-VA DC 11001 Washington No Yes MD 24017 Charles No Yes MD 24021 Frederick No Yes MD 24031 Montgomery No Yes MD 24033 Prince George No Yes VA 51013 Arlington No Yes VA 51059 Fairfax No Yes VA 51107 Loudoun No Yes VA 51153 Prince William No Yes VA 51510 Alexandria No Yes VA 51600 Fairfax City No Yes VA 51610 Falls Church No Yes VA 51683 Manassas City No Yes

VA 51685 Manassas Park No Yes
York, PA PA 42133 York* No Yes
* York County, PA, is in one nonattainment area for the 2006 24-hour standard (HarrisburgLebanon-Carlisle-York, PA) and another for the 1997 annual standard (York, PA).

(P) indicates that only part of the county is in the nonattainment area; for this inventory, emissions for the entire county are included.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 8



## 2.0 AREA SOURCES

2.1 AREA SOURCE CATEGORIES

The area source sector contains emissions esti mates for sources which individually are too small in magnitude or too numerous to inve ntory as individual point sources, and which can often be estimated more accurately as a single aggregate source for a county. Examples are emissions from home heati ng systems, house painting, consumer products usage, and small industrial/commercial operations that are not permitted as point sources.
There are 356 individual area source cat egories in the MANE-VU+VA inventory, categorized by a 10-digit SCC.

2.2 2007 INVENTORY DEVELOPMENT

The emission projections for the 2025 area sour ce inventory were ba sed on Version 3_3 of the 2007 MANE-VU+VA inventory and are fully documented in the TSD for that effort (MARAMA 2012a). The only adjustment to the 2007 Version 3_3 area source inventory was to apply “transport factors” to fugitive dust sources, as described in the following
subsection.

2.2.1 Adjustments to the 2007 Inventor y Used for the 2025 Projections
Grid air quality models consistently overestimate fugitive dust impacts as compared to ambient samples. USEPA developed a met hodology to reduce fugitive dust emissions for use in grid modeling analyses. It is considered a logical st ep to improve the ability to account for the removal of particles near th eir emission source by vegetation and surface
features and can be useful in grid-based modeling analyses.

In February 2011, MARAMA developed 2007 em ission modeling files for area sources which applied the USEPA “transport factor” to reduce fugitive dust emissions to account for the removal of particles near their emi ssion source by vegetation and surface features. The standard transport fractions and SCC assignments from USEPA’s CHIEF website (USEPA 2007a) were used to reduce the PM25- PRI emissions in this inventory. Two files
were used. Exhibit 2.1 shows the list of nonE GU SCCs for which the transport factor was applied. The major source categories includ ed paved and unpaved roads, construction activity, agricultural crop land tilling, and agricultural liv estock operations. Exhibit 2.2 lists the transport fractions for PM nonattainment counties which vary by county. For example, the transport factors ranges from 0.1375 in Camden, New Jersey to 0.80 in Suffolk County, New York. For Virginia, no transport fraction was provided for the City of Fairfax; Fairfax County’s transport fr action was used for this jurisdiction.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 9



### Exhibit 2.1 Area Source SCCs Affected by PM Transport Fraction

SCC SCC Description
2294000000 Paved Roads: All Paved Roads: Total: Fugitives 2296000000 Unpaved Roads: All Unpaved Roads: Total: Fugitives
2311000000 Construction: All Processes: Total 2311010000 Construction: General Building Construction: Total 2311020000 Construction: Heavy Construction: Total
2311030000 Construction: Road Construction: Total 2801000000 Miscellaneous Area Sources;Agriculture Production - Crops;Agriculture - Crops;Total 2801000001 Ag crops: Agriculture - Crops: Land Breaking 2801000002 Ag crops: Agriculture - Crops: Planting 2801000003 Ag crops: Agriculture - Crops: Tilling 2801000004 Ag crops: Agriculture - Crops: Defoliation 2801000005 Ag crops: Agriculture - Crops: Harvesting 2801000006 Ag crops: Agriculture - Crops: Drying 2801000007 Ag crops: Agriculture - Crops: Loading 2801000008 Ag crops: Agriculture - Crops: Transport 2805000000 Ag livestock: Agriculture - Livestock: Total 2805001000 Ag livestock: Beef Cattle Feedlots: Total (also see 2805020000) 2805001001 Ag livestock: Beef Cattle Feedlots: Feed Preparation 2805005000 Ag livestock: Poultry Operations: Total 2805010000 Ag livestock: Dairy Operations: Total 2805015000 Ag livestock: Hog Operations: Total 2805020000 Ag livestock: Cattle and Calves Composite: Total 2805025000 Ag livestock: Hogs and Pigs Composite: Total 2805030000 Ag livestock: Poultry and Chickens Composite: Total 2805035000 Ag livestock: Horses and Ponies Composite: Total 2805040000 Ag livestock: Sheep and Lambs Composite: Total 2805045001 Ag livestock: Goats: TotalDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 10



### Exhibit 2.2 PM Transport Fraction s for PM Nonattainment Counties

State FIPS County PM Transport Fraction
CT 09001 FAIRFIELD 0.4347
CT 09009 NEW HAVEN 0.4442
DE 10003 NEW CASTLE 0.5087
DC 11001 WASHINGTON 0.3953
MD 24003 ANNE ARUNDEL 0.4874
MD 24005 BALTIMORE 0.4047
MD 24013 CARROLL 0.5641
MD 24017 CHARLES 0.4879
MD 24021 FREDERICK 0.4904
MD 24025 HARFORD 0.5147
MD 24027 HOWARD 0.2798
MD 24031 MONTGOMERY 0.3089
MD 24033 PRINCE GEORGES 0.2950
MD 24043 WASHINGTON 0.4003
MD 24510 BALTIMORE (CITY) 0.4874
NJ 34003 BERGEN 0.2657
NJ 34005 BURLINGTON 0.3008
NJ 34007 CAMDEN 0.1375
NJ 34013 ESSEX 0.3461
NJ 34015 GLOUCESTER 0.4361
NJ 34017 HUDSON 0.5286
NJ 34021 MERCER 0.3472
NJ 34023 MIDDLESEX 0.3273
NJ 34025 MONMOUTH 0.5468
NJ 34027 MORRIS 0.2297
NJ 34031 PASSAIC 0.1971
NJ 34035 SOMERSET 0.3635
NJ 34039 UNION 0.3117
NY 36005 BRONX 0.6145
NY 36059 NASSAU 0.6595
NY 36061 NEW YORK 0.6483
NY 36071 ORANGE 0.3803 NY 36081 QUEENS 0.6505
NY 36085 RICHMOND 0.7159
NY 36087 ROCKLAND 0.3556
NY 36103 SUFFOLK 0.7997
NY 36119 WESTCHESTER 0.3531
PA 42003 ALLEGHENY 0.2308
PA 42005 ARMSTRONG 0.3289
PA 42007 BEAVER 0.3141Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 11

State FIPS County PM Transport Fraction
PA 42011 BERKS 0.4682
PA 42017 BUCKS 0.3980
PA 42019 BUTLER 0.3621
PA 42021 CAMBRIA 0.2253
PA 42029 CHESTER 0.4757
PA 42041 CUMBERLAND 0.4649
PA 42043 DAUPHIN 0.3438
PA 42045 DELAWARE 0.3515
PA 42059 GREENE 0.3224
PA 42063 INDIANA 0.2884
PA 42071 LANCASTER 0.6183
PA 42073 LAWRENCE 0.4422
PA 42075 LEBANON 0.4521
PA 42077 LEHIGH 0.4487
PA 42091 MONTGOMERY 0.3729
PA 42095 NORTHAMPTON 0.4306
PA 42101 PHILADELPHIA 0.3471
PA 42125 WASHINGTON 0.3436
PA 42129 WESTMORELAND 0.2875
PA 42133 YORK 0.5134
VA 51013 ARLINGTON 0.3534
VA 51059 FAIRFAX 0.2457
VA 51107 LOUDOUN 0.3345
VA 51153 PRINCE WILLIAM 0.1814
VA 51510 ALEXANDRIA 0.3745
VA 51610 FALLS CHURCH 0.3400
VA 51683 MANASSAS 0.3474
VA 51685 MANASSAS PARK 0.3551Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 12



### Exhibit 2.3 – Comparison of 2007 Paved Road Dust PM10 Emission Estimates

Nonattainment Area Without Transport Factor With Transport Factor

Version2 Version 3 New Method Version2 Version 3 New Method
Allentown 4,228 1,733 1,859 764 Baltimore 15,175 5,412 6,658 2,400 Hagerstown 1,490 263 596 105 Harrisburg-Lebanon-Carlisle -York 9,133 4,124 4,149 1,855 Johnstown 2,663 1,133 673 289 Lancaster 4,339 1,808 2,683 1,118 New York-Northern NJ-Long Is land-CT 58,512 28,747 29,128 14,260 Philadelphia-Wilmington 29,379 12,644 11,070 4,801 Pittsburgh-Beaver Valley 14,470 6,173 4,491 1,920 Reading 3,346 1,423 1,567 666 Washington, DC-MD-VA 21,067 9,909 6,846 3,194 York 3,684 1,458 1,891 749



### Exhibit 2.4 – Comparison of 2007 Paved Road Dust PM2.5 Emission Estimates

Nonattainment Area Without Transport Factor With Transport Factor

Version2 Version 3 New Method Version2 Version 3 New Method

Allentown 264 433 116 191 Baltimore 1,770 1,328 782 589 Hagerstown 196 64 78 26 Harrisburg-Lebanon-Carlisle-York 605 1,031 277 464
Johnstown 198 283 50 72
Lancaster 295 452 182 280 New York-Northern NJ-Long Is land-CT 2,400 7,173 1,252 3,547 Philadelphia-Wilmington 1,396 3,165 547 1,202 Pittsburgh-Beaver Valley 942 1,543 299 480 Reading 209 356 98 167 Washington, DC-MD-VA 1,713 2,432 594 784
York 257 365 132 187Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 13



### 2.3 2025 INVENTORY DEVELOPMENT

The general procedures and data used for projecting emissions for the area source sector
are summarized in this section. Growth factors were applied to the MANE-VU+VA 2007 inventory to account for changes in fuel use, population, economic activity. Next, control factors were applied to account for future em ission reductions from c ontrol regulations. The 2025 inventory accounts for post-2007 emission reductions from promulgated federal, State, local, and site-specifi c control programs and proposed control programs that are reasonably anticipated to result in post-2007 emission reductions.

2.3.1 Area Source Growth Factors
The area and nonEGU point source gr owth factors were develope d using six sets of data:

 The Annual Energy Outlook (AEO) fu el consumption forecasts;

 County-level popula tion projections;

 State-level employment pr ojections by NAICS code;

 County-level vehicle miles tr avelled (VMT) projections;

 USEPA projections for livestock and residential wood combustion; and

 Other state-specific em ission projection data. The priority for applying these growth factor s was to first use the state-supplied projection data (if available). If st ate-supplied data were not pr ovided, then the AEO projection factors were used for fuel consumption sour ces, and the population/employment/VMT data were used for other source categories.

2.3.1.1 

### AEO Fuel Use Projection
The AEO is published annually by the U.S. Ener gy Information Administration (EIA). It presents long-term projections of energy supply, demand, and prices through 2035, based on results from EIA’s National Energy Modelin g System (NEMS). NEMS projects the production, imports, conversion, consumpti on, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavi oral and technological choice cr iteria, energy technology cost and performance characteristics, and demographics.

AEO provides regional fuel-use forecasts for various fuel types (e.g., coal, residual oil, distillate oil, natural gas) by end use sector (e.g., resident ial, commercial, industrial, transportation, and electric pow er). Energy use projections are reported at the Census
division level. The census divisi ons grouped states as follows:

 South Atlantic - DE, DC, MD, VA

 Middle Atlantic – NJ, NY, PA

 New England – CT, ME, MA, NH, RI, VTDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 14



### Appendices A1, A2, and A3 contain the AEO 2010 fuel use projections for each of these three regions. Appendices A4, A5, and A6 contain the AEO2011 fuel use projections

Version 2 of the MANE-VU+VA future year inventories was developed using AEO2010 (EIA2010). After the rel ease of Version 2, AEO2011 was published (EIA2011a). MARAMA reviewed the updated fuel fo recasts and compared the AEO2010 and AEO2011 projections. Appendix A7 docum ents MARAMA’s analysis. MARAMA
calculated the difference in projected fuel usage between AEO2010 and AEO2011 for the residential, commercial, indus trial, transportation, and elec tric power sector for the distillate fuel oil, residual fu el oil, coal, natural gas, and renewable fuel types. MARAMA
identified thresholds for what cons titutes a major change as follows:

 An increase or decrease of 1% or less is considered to be no change and did not warrant a change in the grow th factors between Versions 2 and 3 of the inventory;

 An increase or decrease of between 1% and 5% is considered to be a minor change, and states agreed that these differenc es between AEO2010 and AEO2011 did not warrant a change in the grow th factors between Versions 2 and 3 of the inventory;

 An increase or decrease above 5% is considered a major change, and warrants a change in the growth fact ors used in Version 3.
MARAMA recommended that the AEO2010 projec tions be retained for all residential, commercial, and industrial sector fuel use, ex cept for industrial natural gas usage, where the AEO2011 projections will be used for Versio n 3 of the future year modeling inventory. New Jersey elected to use the more recent gr owth factors from AEO2011 instead of the AEO2010 growth factors for all area s ource fossil fuel use categories.

Exhibits 2.5 to 2.9 summarize the projected fu el use rates by source sector (residential, commercial, industrial, transportation) a nd AEO geographic area for the years 2007 to 2025. The unusual growth in commercial resi dual oil use in the South Atlantic region could not be explained; Mary land elected to use employme nt instead of the AEO2010 growth factor for commercial residual oil combustion, while Virginia and the District chose to assume flat grow th in this sector.

2.3.1.2 

### Population Projections
States provided county-level hist oric population data and projecti ons for future years. The historical and projection years va ried from state to state, so values were interpolated, when necessary, to create population estimates for each year from 2007 to 2025. The population data were then normalized to create growth f actors from 2007 for each year future year.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 15



### For example, Delaware had a population of 861,087 in 2007, and the projected population in 2017 is 953,204. Thus, the growth f actor for 2017 is 953,204 / 861,087 = 1.107.

Exhibit 2.10 summarizes the population grow th factors by state and AEO2010 region. Population is projected to grow in ev ery state between 2007 and 2025. The population growth in the New England states varies signi ficantly by state. Population growth in the South Atlantic states is projected to be mu ch higher than in th e New England and MidAtlantic states. Appendix B contains the da ta use to develop the population projections.

2.3.1.3 

### Employment Projections
Every two years, the federal Bureau of Labor Statistics produces long-term industry and occupation forecasts for ten future years, a nd states are asked to do the same for their respective economies. The most recent projec tions are from state Departments of Labor for the period 2006 to 2016, most of whic h were published in 2008. These 10-year forecasts are updated every other year. The next set of state-specific projections will be for the period 2008 to 2018. Only the District of Co lumbia and Delaware were able to provide employment projections for 2008 to 2017; the 2008 to 2018 projections were not available for other states in time for use on this projec t. The employment projections are state-wide by 3-digit NAICS code. Exhibit 2.11 summa rizes the manufacturing employment (NAICS sector 310) growth factors by state and AEO 2010 region. States in the Northeast / MidAtlantic region show a marked decrease in manufacturing employment from 2007 forward. Appendix C contains the data that were used to develop the employ ment projections.

2.3.1.4 

### VMT Projections
States developed projections of vehicle miles traveled (VMT) for 2007 and 2025 which were used as the growth fact or for projecting emissions from re-entrained road dust from travel on paved roads (SCC 22-94-000-000). The 2007 and 2025 VMT are identical to those used in the MOVES modeling discussed in Section 8. Exhibit 2.12 shows the county level VMT for 2007 and 2025, and the growth factor for projecting 2007 emissions to 2025. Growth factors for 2013, 2017, and 2020 were based on a linear interpolation of the 2007 and 2025 VMT. Appendix D contains addi tional information on the data used to develop the VMT growth factors.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 16



### Exhibit 2.5 AEO2010 Growth Factors for Coal by AEO Region 2007 – 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 17



### Exhibit 2.6 Growth Factors for Residual Oil by AEO Region 2007 – 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 18



### Exhibit 2.7 AEO2010 Growth Factors for Distillate Oil by AEO Region 2007 – 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 19



### Exhibit 2.8 Growth Factors for Natural Gas by AEO Region 2007 – 2025 AEO2010 for Residential/Commercial, AEO2011 for IndustrialDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 20



### Exhibit 2.9 AEO2010 Growth Factors for Gasoline by AEO Region 2007 – 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 21



### Exhibit 2.10 Population Growth Factors by AEO Region 2007 – 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 22



### Exhibit 2.11 Manufacturing Employment Growth Factors by Region 2007 - 2025Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 23



### Exhibit 2.12 2007 and 2025 VMT and the 2007-2025 Growth Factor

Million VMT Growth
Nonattainment Area County FIPS 2007 2025 2007-2005 Allentown Lehigh 42077 2,947 3,700 1.256 Allentown Northampton 42095 2,020 2,629 1.301
Baltimore Anne Arundel 24003 5,786 7,907 1.367
Baltimore Baltimore 24005 8,261 10,330 1.251
Baltimore Carroll 24013 1,296 1,766 1.363
Baltimore Harford 24025 2,362 3,060 1.296
Baltimore Howard 24027 3,815 6,059 1.588
Baltimore Baltimore City 24510 3,626 4,150 1.145 Hagerstown Washington 24043 2,090 2,940 1.407 Harrisburg-Lebanon-Carlisle-York Cumberland 42041 2,861 3,704 1.295 Harrisburg-Lebanon-Carlisle-York Dauphin 42043 3,072 3,689 1.201 Harrisburg-Lebanon-Carlisle-York Lebanon 42075 1,209 1,507 1.247 Harrisburg-Lebanon-Carlisle-Yor k York 42133 3,304 4,209 1.274
Johnstown Cambria 42021 1,157 1,110 0.959
Johnstown Indiana 42063 844 928 1.100
Lancaster Lancaster 420 71 4,255 5,395 1.268
New York Metro NY/NJ/CT Fairfield 9001 7,560 8,568 1.133
New York Metro NY/NJ/CT New Haven 9009 6,856 8,085 1.179 New York Metro NY/NJ/CT Bergen 34003 7,879 10,464 1.328
New York Metro NY/NJ/CT Essex 34013 4,895 6,131 1.253
New York Metro NY/NJ/CT Hudson 34017 2,313 2,801 1.211
New York Metro NY/NJ/CT Mercer 34021 3,566 3,996 1.121 New York Metro NY/NJ/CT Middlesex 34023 7,810 9,748 1.248 New York Metro NY/NJ/CT Monmouth 34025 6,319 8,595 1.360
New York Metro NY/NJ/CT Morris 34027 5,530 6,523 1.180
New York Metro NY/NJ/CT Passaic 34031 2,918 3,490 1.196 New York Metro NY/NJ/CT Somerset 34035 3,230 3,667 1.135
New York Metro NY/NJ/CT Union 34039 4,623 5,730 1.239 New York Metro NY/NJ/CT Bronx 36005 3,677 4,830 1.314 New York Metro NY/NJ/CT Kings 36047 5,461 6,272 1.148 New York Metro NY/NJ/CT Na ssau 36059 11,780 14,705 1.248 New York Metro NY/NJ/CT New York 36061 3,938 5,203 1.321 New York Metro NY/NJ/CT Orange 36071 4,431 5,906 1.333 New York Metro NY/NJ/CT Queens 36081 8,859 10,949 1.236 New York Metro NY/NJ/CT Richmond 36085 2,152 3,354 1.558 New York Metro NY/NJ/CT Rockland 36087 2,675 4,060 1.517 New York Metro NY/NJ/CT Suffolk 36103 13,767 20,514 1.485 New York Metro NY/NJ/CT Westchester 36119 8,201 11,811 1.490 Philadelphia PA/DE/NJ New Castle 10003 5,544 6,959 1.255 Philadelphia PA/DE/NJ Burlington 34005 4,704 5,062 1.076Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 24

Million VMT Growth
Nonattainment Area County FIPS 2007 2025 2007-2005 Philadelphia PA/DE/NJ Camden 34007 4,090 4,267 1.043 Philadelphia PA/DE/NJ Gloucester 34015 2,723 3,284 1.206 Philadelphia PA/DE/NJ Bucks 42017 5,047 6,516 1.291 Philadelphia PA/DE/NJ Chester 42029 4,423 6,201 1.402 Philadelphia PA/DE/NJ Delaware 42045 3,766 4,371 1.161 Philadelphia PA/DE/NJ Montgomery 42091 7,075 8,220 1.162 Philadelphia PA/DE/NJ Philadelphia 42101 5,973 6,337 1.061 Pittsburgh-Beaver Valley Allegheny 42003 9,345 10,134 1.084 Pittsburgh-Beaver Valley Armstrong 42005 628 672 1.071 Pittsburgh-Beaver Valley Beaver 42007 1,487 1,585 1.066 Pittsburgh-Beaver Valley Butler 42019 1,762 2,173 1.233 Pittsburgh-Beaver Valley Greene 42059 464 504 1.086 Pittsburgh-Beaver Valley Lawrence 42073 812 880 1.084 Pittsburgh-Beaver Valley Washington 42125 2,245 2,531 1.127 Pittsburgh-Beaver Valley Westmoreland 42129 3,512 3,898 1.110 Reading Berks 42011 3,341 4,079 1.221 Washington DC/MD/VA DC 11001 3,666 3,861 1.053 Washington DC/MD/VA Charles 24017 1,284 1,825 1.421 Washington DC/MD/VA Frederick 24021 3,009 4,442 1.476 Washington DC/MD/VA Montgomery 24031 7,471 9,711 1.300 Washington DC/MD/VA Prince George's 24033 8,754 11,616 1.327 Washington DC/MD/VA Arlington 51013 1,663 1,917 1.153 Washington DC/MD/VA Fairfax 51059 10,123 13,880 1.371 Washington DC/MD/VA Loudoun 51107 2,403 3,741 1.557 Washington DC/MD/VA Prince William 51153 3,202 4,643 1.450 Washington DC/MD/VA Alexandria 51510 736 866 1.177 Washington DC/MD/VA Fairfax 51600 193 220 1.143 Washington DC/MD/VA Falls Church 51610 64 76 1.186 Washington DC/MD/VA Manassas 51683 273 360 1.317 Washington DC/MD/VA Manassas Park 51685 26 30 1.166Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 25



### 2.3.1.5 

### No Growth Assignment for C ertain Area Source Categories
For several area source categories, it seems reasonable that emissions would not change from the 2007 values. No growth was applie d to the 2007 emissions for the area source categories shown in Exhibit 2.13.

Exhibit 2.13 Area Source Categories with No Growth Assignment

SCC SCC Description 2296000000 Unpaved Roads /All Unpaved Roads /Total: Fugitives 2401008000 Surface Coating /Traffic Ma rkings /Total: All Solvent Types 2461020000 Misc Non-industrial: Commercial /Aspha lt Application: All Processes /Total: All
2461021000 Misc Non-industrial: Commercial /C utback Asphalt /Total: All Solvent Types
2461022000 Misc Non-industrial: Commercial /Emu lsified Asphalt /Total: All Solvent Types
2461023000 Misc Non-industrial: Commercial /A sphalt Roofing /Total: All Solvent Types 2601000000 On-site Incineration /All Categories /Total
2601010000 On-site Incineration /Industrial /Total
2601010000 On-site Incineration /Industrial /Total
2601020000 On-site Incineration /Commercial/Institutional /Total
2601020000 On-site Incineration /Commercial/Institutional /Total
2601030000 On-site Incineration /Residential /Total 2610000100 Open Burning /All Categories /Yar d Waste - Leaf Species Unspecified 2610000400 Open Burning /All Categories /Yard Waste - Brush Species Unspecified 2610000500 Open Burning /All Categories /Land Clearing Debris (use 28-10-005-000 for Logging 2610030000 Open Burnin g /Residential /Household Waste (use 26-10-000-xxx for Yard Wastes) 2610040400 Open Burning /Municipal (from residences, parks, other for central burn) 2660000000 Leaking Underground Storage Tanks /Leak ing Underground Storage Tanks /Total: All 2680001000 Composting /100% Biosolids (e.g., sewage sludge, manure, mixtures of these matls 2680002000 Composting /Mixed Waste (e.g., a 50: 50 mixture of biosolids and green wastes)
2806010000 Domestic Animals Waste Emissions /Cats /Total 2806015000 Domestic Animals Waste Emissions /Dogs /Total
2807020001 Wild Animals Waste Emissions /Bears /Black Bears 2807020002 Wild Animals Waste Emissions /Bears /Grizzly Bears
2807025000 Wild Animals Waste Emissions /Elk /Total
2807030000 Wild Animals Waste Emissions /Deer /Total
2807040000 Wild Animals Waste Emissions /Birds /Total 2810001000 Forest Wildfires - Wildfires – Unspecified 2810003000 Cigarette Smoke /Total 2810005000 Managed Burning, Slash (Logging Debris) /Unspecified Burn Method 2810010000 Human Perspiration and Respiration /Total 2810014000 Prescribed Burning /Generic - Unspec ified land cover, ownership, class/purposeDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 26

SCC SCC Description 2810015000 Prescribed Forest Burning /Unspecified 2810020000 Prescribed Rangeland Burning /Unspecified 2810030000 Structure Fires /Unspecified 2810035000 Firefighting Training /Total 2810050000 Motor Vehicle Fires /Unspecified
2810060200 Cremation /Animals 2810090000 Open Fire /Not categorized 2820010000 Cooling Towers /Process Cooling Towers /Total 2830000000 Catastrophic/Accidental Releases /A ll Catastrophic/Accidental Releases /Total 2830010000 Catastrophic/Accidental Releas es /Transportation Accidents /Total



### 2.3.1.6 

### USEPA 2020 Projections for Residential Wood
USEPA made available its 2020 emissions proj ections associated with its 2005-based v4 modeling platform. MARAMA decided to us e USEPA emission projection parameters for
residential wood combustion. USEPA’s met hodology and data sources are summarized below (USEPA 2010a).

USEPA projected residential wood combusti on emissions are based on the expected increase in the number of low-emitting wood stoves and the corresponding decrease in other types of wood stoves. As newer, clean er woodstoves replace older, more polluting stoves, there will be an overall reduction of emissions from this category. The approach used by USEPA was developed as part of a modeling exercise to estimate the expected benefits of the woodstove change-out pr ogram. This methodology uses a combination growth and control factors and is based on act ivity not pollutant. The growth and control are accounted for in a single factor for each residential wood SCC (cer tain SCCs represent controlled equipment, while other SCCs re present uncontrolled equipment). Control factors are indirectly incorpor ated based on which stove is used. The specific assumptions
USEPA made were:

 Fireplaces, SCC=2104008001: increase 1%/year;

 Old woodstoves, SCC=2104008002, 2104008010, 2104008051: decrease 2%/year;

 New woodstoves, SCC=2104008003, 2104008004, 2104008030, 2104008050, 2104008052 or 2104008053: increase 2%/year. For the general woodstoves and firepl aces category (SCC 2104008000) USEPA computed a weighted average distribution based on 19.4% fireplaces, 71.6% old woodstoves, 9.1% new woodstoves using 2002 Platform emissions for PM2.5. These fractions are based on the fraction of emissions from these processes in the states that did not have the “generalDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 27



### woodstoves and fireplaces” SCC in the 2002 NEI. This approach results in an overall decrease of 1.056% per year for this source category. Appendi x E contains the residential wood projection data from USEPA.

2.3.1.7 

### SCC, SIC, NAICS and Grow th Parameter Crosswalk
Since the employment projecti ons were based on 3-digit NAICS code, it was necessary to map NAICS codes to SCCs and SIC codes that were used by states. Employment projections at the more specific 4-digit or 6-digit NAICS codes we re not available.

The first step for developing a comprehensive crosswalk between the different source classification codes (SCC, SIC, and NAICS co des) and emission activity growth indicators was to compile a complete list of the NAICS codes in the 2007 point source inventory.
Some states use the SIC code while other use the NAICS code. Still other states use both
the SIC and NAICS codes. When the NAICS code was not available SIC codes were converted to NAICS codes. The 6-digit NAI CS code was truncated to a 3-digit code, which represents major industry subsectors of the economy. A U.S. Census Bureau document was used to perform this conversion (CENSUS 2000).

The next step was to review parameters that could be used as the emission activity growth indicator for each SCC or NAICS. We initially relied on two USEPA crosswalks (USEPA 2004a, USEPA 2004b) to match area and nonEGU point source SCCs to AEO2010 categories, employ ment NAICS codes, and population.

2.3.1.8 

### Final Version 2 Growth Factors for Area Sources
The previous sections described the initial growth factors recommended to develop projected future year emissions inventories for area and non-EGU sources. Draft growth and control factors, and a draft technical s upport document, were circulated for review by MARAMA and state agencies. During the re view, it was noted that several emissions categories show negative growth into the future, particularly categories related to fossil fuel combustion and manufacturing employment.

Many of the growth factors used to projec t emissions for area and non-EGU sources were based on the AEO2010 fuel consumption forecast s and state-level employment projections. The AEO2010 forecasts show declining tre nds for many fuel consumption sectors, especially industrial, residential, and commerc ial distillate fuel oil use. Similarly, the employment projections show declines in the predicted number of employees for many sectors of the economy. This is particularly tr ue for the manufacturi ng sector, which is of
interest because this sector is often associat ed with higher emissions than those for other sectors. By contrast, the employment proj ections show increasing trends in retail andDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 28



### service-related sectors. However, these sector s are not typically associated with significant
emissions.

Predicted declines in fuel use and employmen t resulted in growth factors less than unity (i.e., represent negative growth) for many area and non-EGU point source categories. Consequently, for some categorie s, emissions were initially projected to be lower for the projected future years than for the base y ear, even before the a pplication of control assumptions (i.e., the future "growth only" emissions are lower than the base year emissions). A conference call was held to di scuss the negative growth issue, and states were polled as to whether or not they felt that the current se t of proposed growth factors - including the negative growth factors - were realistic for their state. In reply, some representatives mentioned that th ey have observed historic stat e-specific data that supports the trends displayed by the proposed growth fact ors. Other representatives mentioned that they feel comfortable with th e growth factors and don't have a technical basis to change them or suggest others. Some states will supply their own factors or make their own assumptions.

As a result of these discussions, each stat e provided guidance on how to handle projections when negative growth is indicated. Exhib it 2.14 shows the state recommendations for area

sources.

2.3.1.9 

### Version 3 Update to New Jersey Growth Factors for Area Sources
New Jersey provided updated gr owth factors for area source for use in developing the 2025 inventory for PM nonattainment counties. One of the key revisions was to use the more recent data from AEO2011 for energy consum ption instead of the AEO2010 projections. New Jersey also provided updated employment, paved roa d, pesticide an d agricultural livestock growth factors.

2.3.1.10 

### Version 3 Update to Growth Factors for the District of Columbia

The District of Columbia provided updated employment growth factors based on DC Department of Labor forecasts for the period 2008 to 2018.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 29



### Exhibit 2-14 State Recommendations to Address Negative Growth
and Other Growth Factors fo r the Area Source Sector

State AEO2010 Growth Factors Employment Growth Factors Population Growth Factors
CT Use AEO2010 growth rates Use state DOL employment projections by 3-digit NAICS Use county-level population projections
DE Use AEO2010 growth rates; no growth for suspect AEO2010 projection for commercial / institutional residual oil For 2013, use state DOL employment projections by 3-digit NAICS; For 2017 and 2020, use no growth (growth factor=1) when employment growth is negative; otherwise use employment if positive growth Use county-level population projections

DC Use AEO2010 growth rates; no growth for suspect AEO2010 projection for commercial / institutional residual oil Use DOL employment growth for NAICS 722 for food and kindred product SCC; otherwise use 2008-2018 data For dry cleaning, use employment growth for NAICS 812 instead of population
MD Not using AEO2010; used employment for commercial & institutional fuel; used housing units for residential fuel Provided updated employment projections; changed cross-walk between NAICS code and SCC for selected source categories Provided updated population projections by county

NJ NJ submitted state specific growth factors. For fuel combustion categories only, used AEO2011 growth rates except for residual oil (use no growth) NJ submitted state specific growth factors. NJ submitted state specific growth factors and provided population projections by county

NY Use AEO2010 growth rates Use state DOL employment projections by 3-digit NAICS Use county-level population projections
PA Use AEO2010 growth rates Use state DOL employment projections by 3-digit NAICS Use county-level population projections
VA Use AEO2010 growth rates; no growth for suspect AEO2010 projection for commercial / institutional residual oil Use state DOL employment projections by 3-digit NAICS Use county-level population projectionsDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 30



### 2.3.2 Area Source Control Factors
Control factors were developed to estimate post-2007 emission reductions resulting from on-the-books regulations and other emission re duction measures. Control factors were developed for the following nationa l, regional and state measures:

 Federal Rules Affecting Area Sources

 Federal MACT Rules

 OTC 2001 Model Rules

 OTC 2006 Model Rules

 MANE-VU Sulfur in Fuel Oil Limitations
These control programs, includ ing their impact on PM2.5 and PM precursor emissions, are discussed in the following subsections.

2.3.2.1 

### Federal Rules Affecting Area Sources
USEPA made available its 2020 emissions proj ections associated with its 2005-based v4 modeling platform (USEPA 2010a). USEPA account ed for control strategies for four area source categories, only one of which reduced emissions of PM2.5 or PM2.5 precursors. USEPA developed projection factors to account for the replacement of retired woodstoves that were installed before promulgation of the new source performance standard (NSPS).
We used USEPA’s latest met hodology which uses a combinati on growth and control factor and is based on activity and not pollutant. Th e growth and control are accounted for in a single factor for specific SCCs that account for the turnover from pre-NSPS to post-NSPS
woodstove.

2.3.2.2 

### Federal MACT Rules
USEPA developed guidance for estimating VOC and NO x 

### emission changes from MACT Rules (USEPA 2007b). We reviewed the gui dance to identify area source controls
associated with the federal maximum achieva ble control technology (MACT) standards for controlling hazardous air pollutants (HAPs). Although designed to reduce HAPs, many of the MACT standards also provide a reduction in criteria air pollutants. USEPA’s guidance document provides an estimate of th e percent reduction in VOC and NO x 

### from each standard, and the compliance date for the st andard. The information concerning MACT compliance periods provided was used to dete rmine whether the MACT standard provided post-2007 emission reductions. For example, if a compliance period of a MACT standard was 2007 or earlier, then we assumed that the emission reductions from the MACT standard should be reflected in the baseline y ear and not as an additi onal post-2007 credit.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 31



### Only one area source category was listed in USEPA’s guidance document - municipal solid waste landfills. As the compliance date for this standard was January 2004, no post2007 reductions were applied because the emi ssion reductions from the MACT standard should be reflected in the 2007 inventory and not as an additional post-2007 credit.

USEPA has or will soon develop MACT standard s for about 70 area source categories. We reviewed USEPA’s 2020 emissions projections described in the previous section and
found that USEPA did not include emission re ductions from recent area source MACT
standards. We conducted a review of USEP A’s air toxic website and found that USEPA determined that many area source MACT sta ndards would result in nationwide reductions in criteria air pollutants in addition to the reductions in HAP emissions. However, many States in the MANE-VU+VA region already ha ve emission standards for many categories that are as stringent as the Federal area source MACT standards. For example, many states in the MANE-VU+VA region already have requirements as stringent as the Gasoline Distribution MACT and GACT (g enerally achievable control technology) standards, and
little additional VOC reductions would be realized in the region. Given the resources allocated to this project, it was beyond the scope to conduct an analysis of the area source MACT requirements and state-by-state emission regulations to determine whether there would be emission reductions resulting from the area source MACT standards.

The only exception to the above discussion of area source MACT standards pertains to the recently promulgated rules for reciprocating internal combustion engines (RICE). USEPA made available an estimate of the percent reduc tion in emissions attributable to the RICE MACT rule in 2012 and 2014 (USEPA 2010b). These reductions by SCC are shown in Exhibit 2-15. The USEPA 2014 estimates were used for the MANE-VU+VA 2017, 2020
and 2025 inventories.

2.3.2.3 

### OTC Model Rules for VOC Sources
The Ozone Transport Commission (OTC) develope d model rules for its member states in 2002 for several area source VOC categories: consumer products, architectural and industrial maintenance (AIM) coatings, portable fuel containers (PFCs), mobile equipment repair and refinishing, and solvent cleani ng (OTC 2001). In 2006 the OTC introduced
model rules for two additional area source categories (adhe sives/sealants and asphalt paving) and more stringent requirements for consumer products and portable fuel containers (OTC 2007). These rules resulted in reductions of VOC emissions. Because VOC emissions are generally not considered to be significant PM precursors, and these
rules did not result in reductions in PM2.5 or precursor emissions, no further discussion of
the OTC model rules for VOC sources is warranted.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 32



### Exhibit 2-15 USEPA Estimated Percent Reductions for RICE MACT Standard

SCC NOx PM2.5 SCC Description
2101004000 7.57 Electric Utility;Distillate Oil;Total: Boilers and IC Engines
2101004002 11.81 Electric Utility;Di stillate Oil;All IC Engine Types 2101006000 7.97 Electric Utility;Natural Gas;Total: Boilers and IC Engines 2101006002 9.87 Electric Utility;Na tural Gas;All IC Engine Types
2102004000 7.57 Industrial;Distillate Oil;Total: Boilers and IC Engines 2102006000 7.97 Industrial;Natural Gas;Total: Boilers and IC Engines 2102006002 9.87 Industrial;Natural Gas;All IC Engine Types

2103004000 7.57 Commercial/Institutional;Distillate Oil;Total: Boilers and IC Engines

2103006000 7.97 Commercial/Institutional;Natural Gas;Total: Boilers and IC Engines

2199004000 7.57 Area Source Fuel Comb ustion;Distillate Oil;Total: Boilers and IC Engines
2199004002 11.81 Area Source Fuel Combus tion;Distillate Oil;All IC Engine Types

2199006000 7.97 Area Source Fuel Combustion;Natural Gas;Total: Boilers and IC Engines 2310000000 12.53 Oil and Gas Production: All Processes;Total: All Processes 2310000220 12.53 Oil and Gas Explor ation/Production; Drill Rigs 2310000440 12.53 Oil and Gas Exploration/Pr oduction; Saltwater Disposal Engines
2310001000 12.53 Oil and Gas Production: SI C 13; On-shore;Total: All Processes
2310002000 12.53 Oil and Gas Production: SI C 13; Off-shore;Total: All Processes
2310020000 12.53 Oil and Gas Production: SI C 13;Natural Gas;Total: All Processes

2310020600 12.53 Oil and Gas Exploration and Production;Natural Gas;Compressor Engines

2310023000 12.53 Oil and Gas Exploration and Production;Natural Gas;Cbm Gas Well - Dewatering Pump Engines



### 2.3.2.4 

### OTC Model Rule for ICI Boilers
The OTC recommended that member states pur sue state-specific rulemakings or other implementation methods to achieve NO x 

### emission reduction for industrial, commercial, and institutional (ICI) boilers ba sed on guidelines that varied by boiler size and fuel type. States were polled to determine whether they have adopted a rule that would achieve reductions equivalent to the 2006 OTC reco mmendations and whether the estimated
reduction in NO x 

### emissions should be applied in 2013, 2017, and 2020.

All but one state, New Jersey, indicated that they have not adopted rules for area sources equivalent to the 2006 OTC reco mmendations. New Jersey sp ecified that the state has post-2007 ICI boiler rules that reduce NO x 

### emissions and provided the estimates of theDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 33



### reductions in NO x 

### emissions by SCC resulting from boiler tune-up requirements, as shown
in Exhibit 2.16:

Exhibit 2.16 Area Source Emission Reductions from New Jersey ICI Boiler NO x 

### Rules

SCC SOURCE CATEGORY Percent Reductionfrom Tuneups 2007- 2013 Rule Effectivenes

s Rule Penetratio

n Overall Percent Reduction 2007-2013

2102004000 Industrial: Distillate 25% 80% 30% 6%
2102005000 Industrial: Residual 25% 80% 30% 6%
2102006000 Industrial: Nat Gas 25% 80% 30% 6%
2102007000 Industrial: LPG 25% 80% 30% 6%
2103004000 Comm/Inst: Distillate 25% 80% 30% 6%
2103005000 Comm/Inst: Residual 25% 80% 30% 6%
2103006000 Comm/Inst: Nat Gas 25% 80% 30% 6%
2103007000 Comm/Inst - LPG 25% 80% 30% 6%



### 2.3.2.5 

### MANE-VU Fuel Oil Sulfur Strategy
MANE-VU developed a low sulfur fuel oil st rategy to help states develop Regional Haze SIPs (MANE_VU 2007). The sulfur in fuel oil recommendations are shown in Exhibit 2.17 and vary by state, type of fuel oil, and year of implementation.

Exhibit 2.17 MANE-VU Low Su lfur Fuel Oil Strategy

Inner Zone States (DE, NJ, NY, PA)
Fuel Oil Type Sulfur Content 2012 Sulfur Content 2016

Distillate 500 ppm 15 ppm

#4 Residual 0.25 % 0.25 %

#6 Residual 0.3 to 0.5 % 0.3 to 0.5 %
Outer Zone States (CT, DC, MD)
Fuel Oil Type Sulfur Content 2014 Sulfur Content 2018

Distillate 500 ppm 15 ppm

#4 Residual n/a 0.25 to 0.5 %

#6 Residual n/a 0.5 %Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 34



### Each state was polled and asked to provide gu idance as to when, if at all, the MANE-VU strategy would be incorporated in to their state rules. States were also asked to provide the 2007 sulfur contents for each fuel type by count y in order to calculate the percent reduction in emissions for the future years. Three states (MD, NJ, NY) have adopted or are committed to adopting the strategy into their ru les. Four jurisdictions (CT, DC, DE, PA) indicated that not enough regul atory development progress has been made to include the reductions in future years with absolute certai nty. One state (VA) has no plans to adopt the low sulfur fuel oil strategy. The response from each jurisdiction is summarized below:

 Connecticut will not include the reductions from MANE-VU low sulfur fuel oil strategy at this time for official SIP inventories used for the PM2.5 redesignation
effort. Section 16a-21a of the Connectic ut General Statutes (as amended by PA 10- 74) conditions implementation of number two heating oil sulfur limitation (50 ppm beginning 7/1/2011 and 15 ppm beginning 7/1/2014) on similar implementation in NY, MA and RI. NY has taken action, but th e other states have not done so yet. CTDEP expects that 15ppm residential he ating oil will be in place in CT by the "MANE-VU Ask" 2018 target date. Howe ver, until the other states act, SIP emission inventories will not be approvable with the 15 ppm value. Therefore, at
this time CT elects to retain the 2007 su lfur value through 2025. For residual oil, Section 22a-174-19a of the Regulations of CT State Agencies (RCSA) limits
sources >=15MW and boilers >=250 mmBtu /hr to 0.5% and further limits any of
those sources that are also Title IV acid rain sources to 0.3%. For affected sources,
these limits are consistent with the "M ANE-VU Ask", and shoul d be reflected in the actual emissions incorporated into the 2007 point source inventory. Other sources (including most area sources) not otherwise restricted by permit/order are limited to 1.0% by RCSA 22a-174-19. As both of these regulations have not changed after 2007, there are no new contro ls (i.e., post 2007 control factors are 1.0) for residual oil.

 The District of Columbia does not have a low sulfur rule in place yet. They do have a draft, and anticipate adopting a rule by 2014, but are inclined not to take
credit for reductions at this point in time.

 Delaware’s low-sulfur fuel regulation devel opment is running behind schedule and will not be promulgated done in time to include in the re-designation requests/maintenance plans. Emission re ductions from MANE-VU low sulfur fuel oil strategy are not included in the 2025 inventory at this time.

 Maryland expects to revise COMAR 26.11.09.07 ( Sulfur Content Limitations for
Fuel 

### ) by 2014 to adopt the limits in the MANE-VU low sulfur fuel oil strategy.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 35



###  New Jersey has revised N.J.A.C. 7:27-9.2 (Sulfu r content standard s) to adopt the
2016 sulfur content limits and schedule s hown in Exhibit 2.19. All of the PM nonattainment counties in New Jersey already meet the MANE-VU limits for
residual oil.

 New York adopted a law that limits the sulfur content of No. 2 heating oil to no more than 15 parts per million starting in July 2012, down from the current range of 2,000 to 15,000 parts per million. New York expects to revise 6 NYCRR Subpart 225-1 (Fuel Composition and Use - Su lfur Limitations) to lower the sulfur
content of distillate fuel o il for all stationary sources (including home heating) and stationary internal combustion engines. Nearly all of the PM nonattainment counties in New York already meet the M ANE-VU limits for residual oil. For the two counties (Orange and Suffolk), comp liance with the MANE-VU limits is expected by 2017.

 Pennsylvania low-sulfur fuel regulation deve lopment is running behind schedule and will not be promulgated done in ti me to include in the re-designation requests/maintenance plans. Emission re ductions from MANE-VU low sulfur fuel oil strategy are not included in the 2025 inventory at this time.

 Virginia will not include the emission reductions from low sulfur fuel oil, as it is not part of MANE-VU and has no plans to adopt the low sulfur fuel oil strategy.

The state responses regarding th e currently adopted sulfur c ontents for home heating oil, distillate oil, and residual oil are summari zed in Exhibits 2.18, 2.19 and 2.20, respectively. For the purposes of developing the 2025 inventor y that will be used for re-designations and maintenance plans, the sulfur contents and cont rol factors shown in the Exhibits were used on a county-by-county basis to account for th e emission reductions from the MANE-VU low sulfur fuel oil strategy. There are se parate columns in the detailed area source inventory spreadsheet that specify SO 2 

### control factors and emissions for each projection year for a “currently adopted” scenario that includes reductions for states (MD, NJ, NY) that have or are committed to having rules in place. No emission reductions are applied for the other states (CT, DC, DE, PA, VA) in the “currently adopted” scenario.

For other air quality planning purposes, we accounted separately for emission reductions that would occur assuming all states fully adopt the MANE-VU low sulfur fuel limits by 2025. There are separate columns for SO 2 

### control factors and emissions for a “fully adopted” scenario where all states (except Vi rginia) have the MANE-VU low sulfur fuel oil limits in place.Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 36Exhibit 2.18 Currently Adopted Sulfur Content and Control Factors for Residential Fuel Oil CombustionSulfur Content (ppm)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25CT 09001 Fairfield3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000CT 09009 New Haven 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000DE 10003 New Castle 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000DC 11001 Washington 1000 1000 1000 1000 1000 1.000 1.000 1.000 1.000MD 24003 Anne Arundel 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24005 Baltimore3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24013 Carroll3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24017 Charles3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24021 Frederick3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24025 Harford3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24027 Howard3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24031 Montgomery 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24033 Prince Georges 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24043 Washington 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24510 Baltimore City 3000 3000 15 15 15 1.000 0.005 0.005 0.005NJ 34003 Bergen2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34005 Burlington2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34007 Camden2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34013 Essex2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34015 Gloucester 2000 200015 15 15 1.000 0.0075 0.0075 0.0075NJ 34017 Hudson2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34021 Mercer2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34023 Middlesex2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34025 Monmouth2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34027 Morris2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34031 Passaic2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 37Sulfur Content (ppm)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25NJ 34035 Somerset2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34039 Union2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NY 36005 Bronx2000 15 15 15 15 0.007 0.007 0.007 0.007NY 36047 Kings2000 15 15 15 15 0.007 0.007 0.007 0.007NY 36059 Nassau3700 15 15 15 15 0.004 0.004 0.004 0.004NY 36061 New York2000 15 15 15 15 0.007 0.007 0.007 0.007NY 36071 Orange3700 15 15 15 15 0.004 0.004 0.004 0.004NY 36081 Queens2000 15 15 15 15 0.007 0.007 0.007 0.007NY 36085 Richmond2000 15 15 15 15 0.007 0.007 0.007 0.007NY 36087 Rockland3700 15 15 15 15 0.004 0.004 0.004 0.004NY 36103 Suffolk3700 15 15 15 15 0.004 0.004 0.004 0.004NY 36119 Westchester 3700 15 15 15 15 0.004 0.004 0.004 0.004PA 42003 Allegheny3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42005 Armstrong3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42007 Beaver3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42011 Berks3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42017 Bucks3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42019 Butler3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42021 Cambria3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42029 Chester3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42041 Cumberland 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42043 Dauphin3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42045 Delaware3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42059 Greene3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42063 Indiana3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42071 Lancaster3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42073 Lawrence3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42075 Lebanon3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 38Sulfur Content (ppm)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25PA 42077 Lehigh3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42091 Montgomery 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42095 Northampton 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42101 Philadelphia 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42125 Washington 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42129 Westmoreland 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42133 York3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51013 Arlington3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51059 Fairfax3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51107 Loudoun3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51153 Prince William3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51510 Alexandria3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51600 Fairfax City3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51610 Falls Church3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51683 Manassas City3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51685 Manassas Park City 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 39Exhibit 2.19 Currently Adopted Sulfur Content and Control Factors for DistillateFuel Oil CombustionSulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25CT 09001 Fairfield3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000CT 09009 New Haven 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000DE 10003 New Castle 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000DC 11001 Washington 1000 1000 1000 1000 1000 1.000 1.000 1.000 1.000MD 24003 Anne Arundel 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24005 Baltimore3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24013 Carroll3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24017 Charles3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24021 Frederick3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24025 Harford3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24027 Howard3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24031 Montgomery 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24033 Prince Georges 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24043 Washington 3000 3000 15 15 15 1.000 0.005 0.005 0.005MD 24510 Baltimore City 3000 3000 15 15 15 1.000 0.005 0.005 0.005NJ 34003 Bergen2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34005 Burlington2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34007 Camden2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34013 Essex2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34015 Gloucester 2000 200015 15 15 1.000 0.0075 0.0075 0.0075NJ 34017 Hudson2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34021 Mercer2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34023 Middlesex2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34025 Monmouth2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34027 Morris2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34031 Passaic2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 40Sulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25NJ 34035 Somerset2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NJ 34039 Union2000 2000 15 15 15 1.000 0.0075 0.0075 0.0075NY 36005 Bronx2000 2000 15 15 15 1.000 0.007 0.007 0.007NY 36047 Kings2000 2000 15 15 15 1.000 0.007 0.007 0.007NY 36059 Nassau3700 3700 15 15 15 1.000 0.004 0.004 0.004NY 36061 New York2000 2000 15 15 15 1.000 0.007 0.007 0.007NY 36071 Orange3700 3700 15 15 15 1.000 0.004 0.004 0.004NY 36081 Queens2000 2000 15 15 15 1.000 0.007 0.007 0.007NY 36085 Richmond2000 2000 15 15 15 1.000 0.007 0.007 0.007NY 36087 Rockland3700 3700 15 15 15 1.000 0.004 0.004 0.004NY 36103 Suffolk3700 3700 15 15 15 1.000 0.004 0.004 0.004NY 36119 Westchester 3700 3700 15 15 15 1.000 0.004 0.004 0.004PA 42003 Allegheny3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42005 Armstrong3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42007 Beaver3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42011 Berks3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42017 Bucks3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42019 Butler3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42021 Cambria3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42029 Chester3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42041 Cumberland 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42043 Dauphin3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42045 Delaware3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42059 Greene3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42063 Indiana3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42071 Lancaster3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42073 Lawrence3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42075 Lebanon3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 41Sulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25PA 42077 Lehigh3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42091 Montgomery 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42095 Northampton 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42101 Philadelphia 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42125 Washington 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42129 Westmoreland 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000PA 42133 York3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51013 Arlington3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51059 Fairfax3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51107 Loudoun3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51153 Prince William3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51510 Alexandria3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51600 Fairfax City3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51610 Falls Church3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51683 Manassas City3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000VA 51685 Manassas Park City 3000 3000 3000 3000 3000 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 42Exhibit 2.20 Currently Adopted Sulfur Content and Control Factors for Residual Fuel Oil CombustionSulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25CT 09001 Fairfield1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000CT 09009 New Haven1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000DE 10003 New Castle1.0 1.01.0 1.0 1.0 1.000 1.000 1.000 1.000DC 11001 Washington1.0 1.01.0 1.0 1.0 1.000 1.000 1.000 1.000MD 24003 Anne Arundel 1.0 1.00.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24005 Baltimore1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24013 Carroll1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24017 Charles2.0 2.0 0.5 0.5 0.5 1.000 0.250 0.250 0.250MD 24021 Frederick2.0 2.0 0.5 0.5 0.5 1.000 0.250 0.250 0.250MD 24025 Harford1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24027 Howard1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24031 Montgomery1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24033 Prince Georges 1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500MD 24043 Washington2.0 2.00.5 0.5 0.5 1.000 0.250 0.250 0.250MD 24510 Baltimore City 1.0 1.0 0.5 0.5 0.5 1.000 0.500 0.500 0.500NJ 34003 Bergen0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34005 Burlington0.5 0.5 0.5 0.5 0.5 1.000 1.000 1.000 1.000NJ 34007 Camden0.5 0.5 0.5 0.5 0.5 1.000 1.000 1.000 1.000NJ 34013 Essex0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34015 Gloucester0.5 0.50.5 0.5 0.5 1.000 1.000 1.000 1.000NJ 34017 Hudson0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34021 Mercer0.5 0.5 0.5 0.5 0.5 1.000 1.000 1.000 1.000NJ 34023 Middlesex0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34025 Monmouth0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34027 Morris0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34031 Passaic0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 43Sulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25NJ 34035 Somerset0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NJ 34039 Union0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36005 Bronx0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36047 Kings0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36059 Nassau0.37 0.37 0.370.37 0.37 1.000 1.000 1.000 1.000NY 36061 New York0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36071 Orange1.5 1.5 0.5 0.5 0.5 1.000 0.333 0.333 0.333NY 36081 Queens0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36085 Richmond0.3 0.3 0.3 0.3 0.3 1.000 1.000 1.000 1.000NY 36087 Rockland0.37 0.37 0.370.37 0.37 1.000 1.000 1.000 1.000NY 36103 Suffolk1 1 0.5 0.5 0.5 1.000 0.500 0.500 0.500NY 36119 Westchester 0.37 0.37 0.37 0.37 0.37 1.000 1.000 1.000 1.000PA 42003 Allegheny2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42005 Armstrong2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42007 Beaver2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42011 Berks2.0 2.0 2.0 2.0 2.0 1.000 1.000 1.000 1.000PA 42017 Bucks1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000PA 42019 Butler2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42021 Cambria2.0 2.0 2.0 2.0 2.0 1.000 1.000 1.000 1.000PA 42029 Chester1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000PA 42041 Cumberland2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42043 Dauphin2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42045 Delaware1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000PA 42059 Greene2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42063 Indiana2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42071 Lancaster2.0 2.0 2.0 2.0 2.0 1.000 1.000 1.000 1.000PA 42073 Lawrence2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42075 Lebanon2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonattainment Counties in the MANE-VU Region January 23, 2012Page 44Sulfur Content (% S)Control FactorSTATE FIPS CNTY_NAME2007 2013 2017 2020 2025 CF_07_13 CF_07_17 CF_07_20 CF_07_25PA 42077 Lehigh2.0 2.0 2.0 2.0 2.0 1.000 1.000 1.000 1.000PA 42091 Montgomery1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000PA 42095 Northampton 2.0 2.0 2.0 2.0 2.0 1.000 1.000 1.000 1.000PA 42101 Philadelphia1.0 1.0 1.0 1.0 1.0 1.000 1.000 1.000 1.000PA 42125 Washington2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42129 Westmoreland 2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000PA 42133 York2.8 2.8 2.8 2.8 2.8 1.000 1.000 1.000 1.000VA 51013 Arlington2.25 2.25 2.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51059 Fairfax2.25 2.25 2.252.25 2.25 1.000 1.000 1.000 1.000VA 51107 Loudoun2.25 2.25 2.252.25 2.25 1.000 1.000 1.000 1.000VA 51153 Prince William2.25 2.252.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51510 Alexandria2.25 2.25 2.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51600 Fairfax City2.25 2.252.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51610 Falls Church2.25 2.25 2.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51683 Manassas City2.25 2.252.25 2.25 2.25 1.000 1.000 1.000 1.000VA 51685 Manassas Park City 2.252.25 2.25 2.25 2.25 1.000 1.000 1.000 1.000Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 45



## 3.0 POINT SOURCES

3.1 POINT SOURCE CATEGORIES

States were asked to clas sify units in the 2007 MANE- VU+VA point source emissions inventory as either EGU or nonE GU. Most, but not all, units that report hourly emissions
to USEPA’s Clean Air Markets Division (CAMD) are classified as EGUs.

CAMD implements USEPA’s rule found in Volu me 40 Part 75 of the Code of Federal Regulations (CFR), which requires an hourly accounting of emissions from each affected unit - i.e., sources participating in an em issions cap and trade program under the Acid Rain Control Program, the NO x 

### Budget Trading Program, or the Clean Air Interstate Rule.
Most of the CAMD sources are tr aditional power plants that sell electricity to the electrical grid. However, there are other types of s ources that report to CAMD that are not considered to be EGUs, such as petrol eum refineries and cement kilns.

The following criteria was provided to stat es to classify a unit as an EGU:

 An EGU sells most of the power ge nerated to the electrical grid;

 An EGU burns mostly commercial fuel. Commercial fuel in this case means natural gas, oil, and coal. Wood is not c onsidered a commercial fuel because some states identify wood as rene wable. Therefore, to avoi d double counting, units that burn wood and other renewable sources (depending on each state's own definition) should not be considered as an EGU (unle ss it is already in th e CAMD database).
The following units were not considered EGUs for emissi on projections: (1 ) a unit that generates power for a facility but occasionally sells to the gr id; (2) emergency generators; or (3) distributed generation units.

The emission projection methodology for units classified as nonEGUs is discussed in Section 3.3. The emission proj ection methodology for EGUs is discussed in Section 3.4.

3.2 2007 INVENTORY DEVELOPMENT

The emission projections for the 2025 point source were based on Version 3_3 of the 2007 MANE-VU+VA inventory and are fully docum ented in the TSD for that effort (MARAMA 2012a). The only adjustment to the 2007 Version 3_3 point source source inventory was to apply “transpo rt factors” to fugitive dust sources, as described in the following subsection.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 46



### 3.2.1 Adjustments to the 2007 Inventory Used for the 2025 Projections
As described previously in Section 2 .2.1.1, PM2.5 emissions for point sources were adjusted using the USEPA PM transport fractio ns for fugitive dust sources. Exhibit 3.1
shows the list of nonEGU SCCs for which th e transport factor was applied. The major source categories included various operati ons in the mineral pr oducts and construction
industries. Exhibit 2.2 in the previous Section 2 shows the tr ansport fractions for each PM nonattainment county.

Exhibit 3.1 NonEGU Point Source SCCs Affected by PM Transport Fraction

SCC SCC Description 30300519 Prim Metal Prod: Primary Copper Smelting: Unpaved Road Traffic: Fug Emiss 30300831 Prim Metal Prod: Iron Production: Unpaved Roads: Light Duty Vehicles
30300832 Prim Metal Prod: Iron Production: Unpaved Roads: Med Duty Vehicles 30300833 Prim Metal Prod: Iron Production: Unpaved Roads: Heavy Duty Vehicles 30300834 Prim Metal Prod: Iron Production: Paved Roads: All Vehicle Types
30302321 Prim Metal Prod: Taconite Ir on Ore Processing: Haul Road: Rock 30302322 Prim Metal Prod: Taconite Iron Ore Processing: Haul Road: Taconite 30500290 Industrial Processes;Mineral Products;Asphalt Concrete;Haul Roads: General 30501024 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Hauling
30501030 Industrial Processes;Mineral Products;Coal Mining, Cleaning, and Material Handling (See 305310);Tops 30501031 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Scrapers: Travel Mode
30501039 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Hauling: Haul Trucks 30501045 Mineral Products: Coal Mining, Cleaning , & Mat'l Handling: Bulldozing: Overburden 30501046 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Bulldozing: Coal 30501047 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Grading
30501048 Industrial Processes;Mineral Products;Coal Mining, Cleaning, and Material Handling (See 305310);Over
30501049 Industrial Processes;Mineral Products;Coal Mining, Cleaning, and Material Handling (See 305310);Wind
30501050 Mineral Products: Coal Mining, Cleaning, & Mat'l Handling: Vehicle Traffic: Light/Medium Vehicles 30501090 Mineral Products: Coal Mining, Cleani ng, & Mat'l Handling: Haul Roads: General
30501640 Mineral Products: Lime Manufacture: Vehicle Traffic 30502011 Mineral Products: Stone Quarrying - Processing: Hauling 30502504 Mineral Products: Construction Sand and Gravel: Hauling 30531090 Mineral Products: Coal Mining, Cleani ng, & Mat'l Handling: Haul Roads: General
31100101 Building Const: Construction: Building C ontractors: Site Preparation: Topsoil Removal
31100102 Building Const: Construction: Building Cont ractors: Site Prep: Earth Moving (Cut and Fill)Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 47

SCC SCC Description

31100103 Building Const: Construction: Building Contractors: Site Prep: Aggregate Hauling (On Dirt) 31100205 Building Const: Demolitions/Special Trade Contracts: On-site Truck Traffic 31100206 Building Const: Demolitions/Special Trade Contracts: On-site Truck Traffic
50100401 Waste Disposal;Solid Waste Disposal - Government;Landfill Dump;Unpaved Road Traffic



### 3.3 2025 NONEGU INVENT ORY DEVELOPMENT

3.3.1 NonEGU Growth Factors
NonEGU point source growth factors were developed using three sets of data:

 Annual Energy Outlook fuel consumption forecasts;

 State-level employment proj ections by NAICS code; and

 Other state-specific em ission projection data. The priority for applying these growth factor s was to first use the state-supplied projection data (if available). If no st ate-supplied data are available, then we used AEO projection factors for fuel consumption sources and empl oyment data for other source categories. The AEO fuel consumption forecasts and em ployment projections by NAICS code used for area sources were also used for nonEGU point sources. See Section 2.3.1 of this report for a description of these data sets.

Section 2 described the growth factors used to develop projected future year emissions
inventories for both area and non-EGU sources. Draft growth and cont rol factors, and a draft technical support document, were circ ulated for review by MARAMA and state agencies. During the review, it was noted that several emissions categories show negative growth into the future, particularly categor ies related to fossil fuel combustion and manufacturing employment. The AEO forecas ts show declining trends for many fuel consumption sectors, especially industrial, residential, and commercial distillate fuel oil use. Similarly, the employment projections show declines in the predicted number of employees for many sectors of the economy. This is particularly true for the manufacturing sector, which is of interest b ecause this sector is often associated with higher emissions than those for other sectors. By contrast, the employment projections show increasing trends in retail and service-related sectors.

Predicted declines in fuel use and employmen t resulted in growth factors less than unity (i.e., represent negative growth) for many area and non-EGU point source categories. Consequently, for some categorie s, emissions are lower for the projected future years thanDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 48



### for the base year, even before the applicati on of control assumptions (i.e., the future "growth only" emissions are lower than th e base year emissions). The MARAMA emissions inventory workgroup met on several occasions via conference calls and email exchanges to discuss whether the negative gr owth projections were realistic, and what additional assumptions should be made. A topi c of particular concer n is negative growth for non-EGU point sources versus the treatmen t of Emissions Reduction Credits (ERCs) in the future year inventories.

A few states cited the importance of the ne gative growth issue for non-EGUs and how it relates to their ERC programs which are critical to new businesses being able to locate in those states. Because businesses could apply fo r and sell ERCs at the level of the base year inventory, it would not be realistic to show negative growth for non-EGU point sources. During an economic downturn, a f acility could shut down and sell its ERCs, making the effective level of future year emi ssions equal to (i.e., no lower than) the base year. Therefore, a recommended conservative approach for addressing negative growth for non-EGU point sources is to set a mini mum growth rate of 1 (no growth).

During the conference call held on July 23, 2010 to discuss the ne gative growth issue, state agency representatives were polled as to whet her or not they felt th at the current set of proposed growth factors - including the negative growth factors - were realistic for their state or district. In reply, some representativ es mentioned that they have observed historic state-specific data that supports the trends displayed by the pr oposed growth factors. Other representatives mentioned that they feel comfortable with the growth factors and don't have a technical basis to change them or sugge st others. Some states will supply their own factors or make their own assumptions.

As a result of these discussions, each stat e provided guidance on how to handle projections when negative growth is indicated. Exhi bit 3.2 shows the state recommendations for nonEGU point sources.

Exhibit 3.2 State Recommendations to Address Negative Growth
for the NonEGU Point Source Sector

State AEO2010 Growth Factors Employment Growth Factors

CT Use no growth (growth factor=1) when AEO growth is negative; otherwise use AEO2010 if positive growth Use state DOL employment projections by 3- digit NAICS

DE Use AEO2010 growth rates For 2013, use state DOL employment projections by 3-digit NAICS; For 2017 and 2020, use no growth (growth factor=1) when employment growth isDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 49

State AEO2010 Growth Factors Employment Growth Factors negative; otherwise use employment if positive growth
DC Use AEO2010 growth rates Use state 2008-2018 DOL employment projections by 3-digit NAICS; no growth when employment is projected to decrease
MD Not using AEO2010 growth factors (except for the electric power generation SCCs); Use MD DOL employment projections for industrial and commercial fuel use SCCs, unless employment growth rate is negative, in which case use no growth (growth factor=1) Use updated state DOL employment projections by 3-digit NAICS; For DoD facilities, account for impacts of Base Realignment and Closure; For source that have closed, account for emission reduction credits
NJ New Jersey submitted state specific growth factors. Used either state specific growth factors, no growth (g rowth factor=1) when state AEO growth is negative or AEO if positive growth NJ submitted state specific growth factors. Used either state specific factors, no growth (growth factor=1) when state DOL employment growth is negative or employment if positive growth
NY Use no growth (growth factor=1) when AEO growth is negative; otherwise use AEO2010 if positive growth Use no growth (growth factor=1) when employment growth is negative; otherwise use employment if positive growth
PA Use no growth (growth factor=1) when AEO growth is negative; otherwise use AEO2010 if positive growth Use no growth (growth factor=1) when employment growth is negative; otherwise use employment if positive growth
VA Use no growth (growth factor=1) when AEO growth is negative; otherwise use AEO2010 if positive growth Use no growth (growth factor=1) when employment growth is negative; otherwise use employment if positive growth



### 3.3.2 Emission Reduction Credits
Mulitple states (Connecticut, Maryland, and New Jersey) added county level records
account for account emission reduction credit s (ERCs) issued to stationary sources pursuant to state regulations. States pr ovided ERCs on a county-by-county basis.
Fictitious facilities with an identifier of “OFFSET99999” were created for each county using SCC 23-99-000-000 (miscellaneous industrial processes: not elsewh ere classified). Stack data were developed that assumed th at emissions were re leased at the county centroid with an assumed release height of 10 feet. For the 2017 and 2020 inventories,
ERC emissions were set to the amount of banked emissions available in 2007.

Delaware included the banked credits at the spec ific locations that they were generated. New York and Pennsylvania did not explic itly provide any information on ERCs.

The District of Columbia and Virginia do not have a formal banking and trading program. They used growth rates of 1 for those SCCs in the point source emissions inventory that showed a negative growth. In addition, for units that have or are pr ojected to have shutDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 50



### down, they preserved the 2007 emissions in the inventory to account fo r potential use as
offsets or credits.

3.3.3 NonEGU Control Factors
Control factors were developed for both on-th e-books regulations and proposed regulations
and other actions to estimate em ission reductions in future years. Control factors were considered for the following nationa l or regional control measures:

 Federal Rules Affecting NonEGU Point Sources

 OTC 2001 Model Rules

 OTC 2006 Model Rules

 MANE-VU Sulfur in Fuel Oil Strategy

These control programs are discussed in the following subsections.

3.3.3.1 

### Federal Actions Affecting NonEGU Point Sources
USEPA made available its 2020 emissions proj ections associated with its 2005-based v4 modeling platform (USEPA 2010a). These cate gories, and how they were accounted for in the MANE-VU+VA emission projection inve ntories, are described below:

 MACT Standards - USEPA developed guidance for estimating VOC and NO x 

### emission changes from MACT Rules (USE PA 2007b). We reviewed the guidance to identify nonEGU source controls asso ciated with MACT standards for controlling HAPs. The information c oncerning MACT compliance periods was
used to determine whether the MACT st andard resulted in post-2007 emission reductions. Because major source categor ies had a compliance period of 2007 or earlier, we assumed that the emission re ductions from the MACT standard should be reflected in the baseline year and not as an additional post- 2007 credit. The only exception to the above discussion of ar ea source MACT standards pertains to the recently promulgated rules for recipr ocating internal combustion engines.
USEPA made available an estimate of the percent reduction in emissions
attributable to the RICE MACT ru le in 2012 and 2014 (USEPA 2010b). These reductions by SCC are shown in Exhibit 3.3. The USEPA 2014 estimates were used for the MANE-VU+VA 2017, 2020 and 2025 inventories.

 Industrial, Commercial, a nd Institutional Boilers a nd Process Heaters MACT
Standard - USEPA’ s 2020 control factor file identified a number of solid fuelburning SCCs for which they estimated an 87% reduction in both PM10 and
PM2.5. These were used for 2025 also for the affected SCCs.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 51



###  Petroleum refinery enforcement settlements - For the facilities identified by USEPA located in New Jersey and Penns ylvania we applied post-2007 estimated
reductions for NO x 

### , PM10, PM2.5, and SO 2 

### to affected units.

Exhibit 3.3 USEPA Estimated Percent Reductions for RICE MACT Standard

SCC NOx PM2.5 SCC Description
20100102 15.14 Electric Generation;Distillate Oil (Diesel);Reciprocating

20100105 15.14 Electric Generation;Distillat e Oil (Diesel);R eciprocating: Crankcase Blowby

20100107 15.14 Electric Generation;Distillat e Oil (Diesel);R eciprocating: Exhaust 20100202 12.53 Electric Generation;Natural Gas;Reciprocating
20100207 12.53 Electric Generation;Natural Gas;Reciprocating: Exhaust
20200102 15.14 Industrial;Distillate Oil (Diesel);Reciprocating
20200104 15.14 Industrial;Distillate Oil (Diesel);Reciprocating: Cogeneration
20200107 15.14 Industrial;Distillate Oil (Diesel);Reciprocating: Exhaust
20200202 12.53 Industrial;Natural Gas;Reciprocating 20200204 12.53 Industrial;Natural Gas;Reciprocating: Cogeneration
20200207 12.53 Industrial;Natural Gas;Reciprocating: Exhaust
20200253 37.96 Industrial;Natural Gas;4-cycle Rich Burn 20200301 37.96 Industrial;Gasoline;Reciprocating
20200307 37.96 Industrial;Gasoline;Reciprocating: Exhaust
20201001 12.53 Industrial;Liquified Petroleum Gas (LPG);Propane
20201002 12.53 Industrial;Liquified Petroleum Gas (LPG);Butane
20201702 37.96 Industrial;Gasoline;Reciprocating Engine
20201707 37.96 Industrial;Gasoline;Reciprocating: Exhaust
20300101 15.14 Commercial/Institutional;Distillate Oil (Diesel);Reciprocating

20300105 15.14 Commercial/Institutional;Distillate Oil (Diesel);Reciprocating: Crankcase Blowby

20300106 15.14 Commercial/Institutional;Distillate Oil (Diesel);Reciprocating: Evaporative Losses

20300107 15.14 Commercial/Institutional;Distillate Oil (Diesel);Reciprocating: Exhaust 20300201 12.53 Commercial/Institut ional;Natural Gas;Reciprocating
20300204 12.53 Commercial/Institut ional;Natural Gas;Cogeneration

20300207 12.53 Commercial/Institutional;Natural Gas;Reciprocating: Exhaust 20300301 37.96 Commercial/Institutional;Gasoline;Reciprocating
20300307 37.96 Commercial/Instituti onal;Gasoline;Reciprocating: Exhaust

20301001 12.53 Commercial/Institutional;Liquified Petroleum Gas (LPG);Propane

20301002 12.53 Commercial/Institutional;Liquified Petroleum Gas (LPG);Butane
20400401 37.96 Engine Testing;Reciprocating Engine;GasolineDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 52

SCC NOx PM2.5 SCC Description
20400402 15.14 Engine Testing;Reci procating Engine;Diesel/Kerosene

20400403 15.14 Engine Testing;Reciprocating Engine;Distillate Oil: CI: CI: VOC 2005cr = 0

31000203 12.53 Oil and Gas Production;Natural Gas Production;Compressors

50100421 12.53 Solid Waste Disposal;Landfill Dump;Waste Gas Recovery: Internal Combustion Device



### 3.3.3.2 

### OTC 2001 Model Rules for NonEGUs
The OTC developed NO x 

### control measures for industrial, commercial, and institutional (ICI) boilers and distri buted generation units in 2001 (O TC 2001). We reviewed the OTC’s status reports to identify states stat us in adopting the OT C 2001 model rules (OTC 2009a). Most states have a dopted the OTC model rules with compliance dates in 2007 or earlier. As a result, we assumed that th e emission reductions from the 2001 OTC model rules for nonEGUs are already reflected in the 2007 inventory and no post- 2007 reductions were applied.

3.3.3.3 

### OTC 2006 Model Rules for NonEGUs

In 2006, the OTC introduced model rules (OTC 2007) for one nonEGU VOC source category (adhesives/sealants) and new/more stringent requirements for several NO x 

### source categories (asphalt production plants, cemen t kilns, glass/fiberglass furnaces, and industrial, commercial, and in stitutional {ICI} boilers). We reviewed the OTC’s status reports to identify where stat e status in adopting the OTC 2006 model rules (OTC 2009b).
To obtain further clarificati on of each state’s status, stat es were polled to determine whether they have adopted a rule that woul d achieve reductions equivalent to the OTC model rule, whether credit for each rule wa s already accounted for in the 2007 inventory,
and whether the estimated reduction in em issions should be applied in 2013, 2017, 2020 and 2025. The following paragraphs describe th e control factors applied for each rule by state and future year.

3.3.3.3.1 OTC 2006 Model Rule for Asphalt Production Plants



### The OTC recommended that member states pur sue state-specific rulemakings or other implementation methods that would ach ieve a 35 percent reduction in NO x 

### emissions. States were polled to determine whether they have adopted a rule that would achieve reductions equivalent to the 2006 OTC model ru le and whether the estimated reduction in
NO x 

### emissions should be applied in 2013, 2017, 2020 and 2025. Only New Jersey
indicated that the reductions s hould be applied. New York di d not provide guidance, and itDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 53



### was assumed that the NO x 

### reductions should be applied in New York for three future years. All other states indicated that the NO x 

### reductions should not be applied in the future years. For those states that indicated they wanted to include the reductions, a 35 percent
reduction in NO x 

### emissions was applie d for SCC 3-05-002-xx.

3.3.3.3.2 OTC 2006 Model Rule for Cement Manufacturing Plants



### Cement kilns are located in Maryland, New York, and Pennsylvania. Virginia has one cement kiln, which is not located in a PM nonattainment county. The OTC recommended state-specific rulemakings or other implement ation methods that would result in about a 60 percent reduction in uncontrolled levels NO x 

### emissions. This emission reduction for cement kilns was calculated using the methodology previously developed and documented in the OTC report (OTC 2007). Cement kilns are already subject to NO x 

### controls as part
of Phase I of the NO x 

### SIP call. Emission reductions resulting from the NO x 

### SIP call are already accounted for in the 2007 inventory.

The following methods were used to calcula te the additional re ductions from the OTC
2006 Control Measure in each state:

 Maryland indicated controls will become effective in 2011 for the two facilities in the state. Maryland specified a 25 percen t reduction for the Holcim facility and a 40 percent reduction for the Lehigh facility. No reductions were specified for the two kilns at the Essroc facility.

 New York did not provide guidance regardi ng cement kilns. We used the percent reductions previously developed and docum ented in the previous round of emission projections developed for MARAMA (M ARAMA 2007). An incremental control efficiency of 40 percent was used for Ne w York cement kilns in that inventory.

 Pennsylvania provided kiln-speci fic projected future year NO x 

### emissions for 2013,2017, and 2020. The 2020 controlled emissions were also used for 2025. A kilnspecific control factor was calculated based on the ratio of the future year emissions to the 2007 emissions.

3.3.3.3.3 OTC 2006 Model Rule for Gla ss and Fiberglass Furnaces



### The OTC recommended state-specific rulemaki ngs or other implementation methods to achieve an approximately 85 percent reduction in NO x 

### emissions from uncontrolled levels. Emission reductions for glass and fibergla ss furnaces were calculated using the methodology previously developed and documen ted in the OTC report (OTC 2007). Glass and fiberglass furnaces are located in Maryla nd, New Jersey, New York, and Pennsylvania.
There are no other States with facilities in a PM nonattainment county.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 54



### The following methods were used to calcula te the additional re ductions from the OTC
2006 Control Measure in each state:

 Maryland indicated that a 48 percent reducti on should be applied to the single glass manufacturing facili ty in Maryland.

 New Jersey indicated that a 50 percent reduction in NO x 

### emissions should be applied to glass and fiberglass furnaces in 2013, 2017, 2020 and 2025.

 New York did not provide guidance regard ing glass or fiberglass furnaces. We used the percent reductions developed a nd documented in the previous round of emission projections developed for MARAMA (MARAMA 2007). An incremental control efficiency of 70 pe rcent was used for New York glass and fiberglass furnaces in that inventory.

 Pennsylvania provided furnace-speci fic projected future year NO x 

### emissions for 2017 and 2020 for all facilities, including those in Allegheny County. The 2020 controlled emissions were also used fo r 2025. A furnace-specific control factor was calculated based on the ratio of th e future year emissions to the 2007 emissions.

 For the three glass manufacturing facilit ies in Allegheny County, we used the percent reductions previous ly developed and documented in the previous round of emission projections developed for MARAMA (MARAMA 2007). An incremental control efficiency of 86 pe rcent was used for Allegheny County glass and fiberglass furnaces in that inventory.

3.3.3.3.4 OTC 2006 Model Rule for ICI Boilers



### The OTC recommended that member states pur sue state-specific rulemakings or other implementation methods to achieve NO x 

### emission reduction for industrial, commercial, and institutional (ICI) boilers ba sed on guidelines that varied by boiler size and fuel type. States were polled to determine whether they have adopted a rule that would achieve reductions equivalent to the 2006 OTC reco mmendations and whether the estimated
reduction in NO x 

### emissions should be applied in 2013, 2017, 2020, and 2025.

Most states have not adopted rules equiva lent to the 2006 OTC recommendations. These states indicated that they will likely depend on a USEPA national rule for possible inclusion in the BOTW inventory. Specific ally, the OTC Resoluti on 10-01 (June, 2010)
called on USEPA for national re gulations for ICI boilers.

New Jersey provided NO x 

### percent reductions that varied by heat input rate and fuel/boiler type and included an 80 percen t rule effectiveness adjustme nt, as shown in Exhibit 3.4.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 55



### Exhibit 3.4 NonEGU Point Sou rce Emission Reductions from New Jersey ICI Boiler NO x 

### Rules

Heat Input Rate (mmBtu/hr) Fuel/Boiler Type Overall % Reduction 2007-2025
at least 5 but < 10 All 20%

at least 10 but < 20 All 20%

at least 25 but < 50 Natural gas only 40% No. 2 Fuel oil only 40% Refinery fuel gas and other gaseous fuels 40%

Other liquid fuels 40% Duel Fuel using fuel oil and/or natural gas 40%

at least 50 but < 100 Natural gas only 40%
No. 2 Fuel oil only 27%
Other liquid fuels 27% Duel Fuel using fuel oil and/or natural gas 40%

at least 100 or greater No. 2 Fuel oil only 40%



### The NIF file submitted by New Jersey for this project did not include the boiler design capacity. This data gap was filled using the boiler design capacities previously developed for the OTC study in 2006, if available; otherw ise the SCC description was used to assign a default boiler design capacity.

New York specified that a 50 percent reduction should be applied in the existing controls inventory for all boilers with greater than 25 mmBtu/hour design capacity. The NIF file submitted by New York for this project did not include the boiler design capacity. This data gap was filled using the boiler design capacities previously developed for the OTC study in 2006, if available; ot herwise the SCC description wa s used to assign a default boiler design capacity.

3.3.3.4 

### MANE-VU Fuel Oil Sulfur Strategy
MANE-VU developed a low sulfur fuel oil st rategy to help states develop Regional Haze SIPs (MANE-VU 2007). The sulfur in fuel o il recommendations were previously shown in Section 2.3.2.5 and vary by state, fu el oil type, and implementation year.

3.3.3.5 

### State-specific NonEGU Control Factors
The following state-specific nonEGU control factors were provided:Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 56



###  Bellefield Boiler Plant, Allegheny County. Allegheny County indicated that this facility changed their fuel source from co al to natural gas in July 2009 and future year emissions were changed to reflect the fuel switch.

 USS Clairton Works

, Allegheny County. The facility will remove Batteries 7-9 and have Battery C operational by 2013, resul ting in a change in PM emissions in 2013. Also, USS Clairton Works will rem ove Batteries 1-3 and have Battery D operational in 2015, resulting in a change in PM emissions in 2017, 2020 and 2025.

 Chrysler, Delaware. The Chrysler facility (ID 1000300128) shut down in 2009. Delaware specified that only a 25 percent reduction should be taken for all pollutants as some emissions will be banked for future use by other sources.

 OSG Ship Management (ID 1000500093), Delaware. Delaware provided sourcespecific growth factors and percent re ductions in VOC emissions for 2013, 2017, and 2020 from the lightering operations at OSG Ship Management (ID 1000500093). The 2025 emissions were expected to be the same as the 2020
emissions.

 Control Technology Guidance (CTG) Documents, Delaware. Delaware
determined that VOC emission reductions from new CTG recommendations would be very small. Although the new CTGs set up new recommendations for higher control efficiencies, the actual VOC reductions would be minimum, if not none, because most DE’s existing facilities are not affected by the new requirements and
emissions from those facilities are rela tively small (based on 2002 inventory).

 Unit Shutdowns, Delaware. Delaware identified several emission units that have shut down at the following facilitie s: Dow Reichhold Specialty latex (ID 1000100016), SPI Poly-Ols (ID 1000300426), and Invistas (ID 1000500002). Emissions for all pollutants were set to zero for these units.

 Premcor Refinery NO x 

### Plantwide Cap, Delaware. The refinery was sold to the Delaware City Refining Company and an agreement was reached with DNREC's Secretary that allows plant-wide applicability limit (cap) for NO x 

### . Delaware
decided to devide the NO x 

### -cap to each stack equally. Delaware estimated a plantwide reduction of 1 0.05 percent in 2013 and 41.22 percent in 2017, 2020 and
2025.

 PEPCO Benning Road, Di strict of Columbia. This facility is scheduled for
deactivation in 2012. All emissions were set to zero in the projection inventories.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 57



###  2009 New Jersey Rule for NO x 

### for Municipal Solid Waste Incinerators. This rule will achieve a 27 percen t reduction from one facili ty - Camden County Energy Recovery Associates, L.P. (ID 3400751614).

 New Jersey Rule for VOC Storage Tanks. New Jersey provided expected VOC emission reductions resulting from post -2007 rules for VOC storage tanks. For refinery floating roof storage tanks (SCC 4-03-011-xx), the reductions are 75 percent for 2013, 82 percent for 2017, and 85 percent for 2020. For bulk terminal tanks (SCC 4-04-001-xx), the reductions are 20 percent for 2013, 40 percent for 2017, and 50 percent for 2020. For pipeline breakout stations (SCCs 4-04-002-xx and 4-06-005-xx), the reductions are 26 percent for 2013, 52 percent for 2017, and 65 percent for 2020 and 2025.

3.4 2025 EGU INVENTORY DEVELOPMENT

An emission projection methodology for EGUs is being developed as part of an inter-RPO
coordination effort under the direction of ERTA C. The computer code to implement the ERTAC methodology will not be available in time for use in state’s re-designation requests or maintenance plans. An interim approach for projecting EGU emissions is discussed in the following paragraph.

Annual 2007 EGU point emissions were grown to 2025 based on electricity generation projections that are delineat ed by region and fuel. Growth factors are based on AEO2011 Table 96 - Electricity Generati on by Electricity Market Modu le Region and Fuel Source (see Appendix F). The 2007 emissions were ex tracted for those units flagged as EGUs in the MANE-VU+VA 2007 inventory. The a ppropriate AEO2011 growth factor was applied to the 2007 emissions to calculate a “growth only” emission value for 2025. The following key assumptions were made:

 Growth beyond unit capacity or permit limits was not considered (e.g., fuel consumption was allowed to grow beyond a unit’s physical capacity or permit limit);

 Generation from specific new units that ar e anticipated to operate in 2025 but did not in 2007 is not explicitly accounted for, but instead is assumed to be accounted for in the AEO2011 growth forecasts;

 Similarly, generation from specific units that have or are antici pated to shut down after 2007 is not explicitly accounted for, but instead are assumed to be accounted for in the AEO2011 growth forecasts.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 58



###  States indicated where post -2007 controls or shut downs were to be applied on a unit by unit basis. The control factors we re applied to the grown emissions to calculate a “growth and contro l” emission value for 2025.

Details on the growth and c ontrol factors are provided in the following sections.

3.4.1 EGU Growth Factors
Table 96 of the AEO2011 provides electricity ge neration projections by electricity market module region and fuel source for the years 2007 to 2035 (EIA 2011b). AEO2011 disaggregates generation to 22 s ub-regions for electricity plan ning and dispatch This is a new approach started in AE O2011. Disaggregation of the El ectricity Market Module (EMM) is intended to reduce erro rs that result from aggregat ion and averaging, to better represent environmental and re gional issues, and thus to improve the projections of capacity additions and fuels consumed for ge neration. Exhibit 4.1 identifies the 22 subregions.

Exhibit 3.5 Electricity Market Module RegionsDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 59



### The EIA provided a file that assigns each EGU to an EMM region. Units in the PM nonattainment counties included in this analysis reside in one of the following seven EMM regions:

 Northeast Power Coordinating Council / Northeast (NEWE)

 Northeast Power Coordinating Coun cil / NYC Westchester (NYCW)

 Northeast Power Coordinating Council / Long Island (NYLI)

 Northeast Power Coordinating Coun cil / Upstate New York (NYUP)

 Reliability First Corporation / East (RFCE)

 Reliability First Corporation / West (RFCW)

 SERC Reliability Corporation / Virginia Carolina (SRVC)

Exhibit 3.6 shows the growth factors for elect ricity generation for coal. The AEO2011 shows zero generation from coal in the NYC Westchester and Long Island regions. Generation from coal is projected to declin e significantly in the Northeast and Upstate New York regions. Generation from coal is e xpected to decline slightly in the RFC East, RFC West, and SERC Virginia -Carolina regions.

Exhibit 3.7 shows the growth factors for electricity generation for petroleum. The AEO2011 shows that the growth factors vary widely by EMM region. A positive growth rate (e.g., growth factor > 1) from 2007 to 2025 is projected for the RFC East and SERC Virginia-Carolina regions. In all other EMM regions in the study area, generation from petroleum is projected to declin e (e.g., growth factor < 1).

Exhibit 3.8 shows the growth factors for elect ricity generation for natural gas. The AEO2011 shows that the growth factors vary widely by EMM region. A negative growth rate (e.g., growth factor < 1) from 2007 to 2025 is projected for the NYC Westchester and SERC Virginia-Carolina regions. In all other EMM regions in the study area, generation from natural gas is projected to increase (e.g., growth factor > 1).

Exhibit 3.9 shows the growth factors for el ectricity generation for renewables. The AEO2011 shows that the growth factors vary widely by EMM region. A large increase in generation from renewables from 2007 to 2025 is projected for the RFC East, RFC West and SERC Virginia-Carolina regions. A more modest increase in renewable is projected for the Northeast and Upstate New York regions. A slight decline is projected for the
NYC Westchester and L ong Island regions.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 60



### Exhibit 3.6 Electricity Generati on Growth Factors for Coal

Exhibit 3.7 Electricity Generation Growth Factors for PetroleumDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 61



### Exhibit 3.8 Electricity Generation Growth Factors for Natural Gas

Exhibit 3.9 Electricity Generation Growth Factors for RenewablesDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 62



### After reviewing the AEO growth factor s, New York had doubts about the AEO projections. To be conservati ve, New York specified that a growth factor of 1.0 should be used for any unit where AEO growth was projected to be negative.

3.4.2 EGU Control Factors
States provided information on post-2007 controls or shut downs to be applied on a unit by unit basis for the 2025 inventory. This control information was pr ovided in a format that is being used by the ERTAC EGU Proj ection Methodology (Appendix G UAF NEEDS Control FileMASTER92211.xls).

In addition to the ERTAC control file, the following comments were received:

 Delaware – The Edge Moor facility (O RIS=593) plans to switch from coal to natural gas/# 6 oil. However, the Title V permit is not yet approved. Delaware made the decision to assume the facility still is burning coal in 2025 for the purposes of this PM re-designation inve ntory. Delaware may change the EGU
estimates at a future date when the SIP submittal is written.

 District of Columbia – The PEPCO Benning Road facility (ORIS=603) is scheduled to shut down permanently in 2012 and all future year emissions have
been set to zero.

 Maryland – The Healthy Air Act sets unit-specific emission caps (tons/year) for
SO 2 

### and NO x 

### . Maryland provided unit specific co ntrol factors to ensure that the future year emissions were equal to the Healthy Air Act emission caps. Affected facilities include CP Crane, Herbert A Wagner, R. Paul Smith, Chalk Point, Dickerson, Morgantown, and Brandon Shores.

 New Jersey – Control factors for SO 2 

### and NO x 

### for each unit were calculated based
on the ratio of the future controlled em ission rate (lbs/mmBtu) to the 2007 actual emission rate (lbs/mmBtu). Large reductions in SO 2 

### emissions are expected from the installation of control equipment at th e Hudson and Mercer generating stations.
NO x 

### controls were also installed at the Hudson generating station in 2010.

 Pennsylvania – RRI’s Portland Generati ng Station is under a USEPA Order to
reduce SO 2 

### emissions. SO 2 

### emissions beyond 013 were reduced by 95 percent to
address the ordered emission reductions. SO 2 

### controls were installed at RRI Keystone, PPL Brunner Island, and Alle gheny Energy Hatfields Ferry in 2010.
SO 2 

### controls at the Cheswick Station were installed in 2011. Units 1 and 2 at PPL Martins Creek, Units 1 and 2 at Exelon Cromby, and Units 1 and 2 at ExelonDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 63



### Eddystone are or will be permanently shut down by 2013 and the emissions for all pollutants were set to zero for 2017/2020/2025. The future operation of Unit 1 at Exelon Schuylkill are projected to be about 250 hours, compared to 1,037 hours in
2007. Future emissions for this unit were reduced by 75 percent to reflect this lowered operating capacity.

 Virginia – Dry scrubbers at the Potomac Ri ver Generating Station were installed in 2008. In 2008, the facility received a fede rally enforceable facility-wide permit that placed limits on the facility’s annual potential to emit of both NO X 

### and SO 2


### .

3.4.3 Consideration of CSAPR Emission Allowances
On July 6, 2011, the USEPS finalized the Cro ss-State Air Pollution Rule (CSAPR) that requires 27 states to reduce power plant emissi ons that contribute to ozone and/or fine particle pollution in other states. This fi nal rule replaces the 2005 Clean Air Interstate Rule (CAIR). Under the final rule, USEPA distributes a annual SO2 and NOx emission allowances to covered units in each state, the sum of which equals the annual SO2 and NOx budgets for those states (allowing for a two percent set-aside for new units).

USEPA provided allocations for each affected unit. States initially considered whether
these unit-level allocations fo r SO2 and NOx provided a more realistic estimate of future year emissions than the growth and cont rol methodology described in Sections 4.3.1 and 4.3.2 of this report. However, the United States Court of Appeals for the District of Columbia issued an order staying CSAPR on December 31, 2011, pending the resolution of an appeal of the rule. Because of the uncertainty rega rding implementation of CSAPR, states decided to use the gr owth and control methodology de scribed in Sections 4.3.1 and 4.3.2 rather than the proposed CSAPR caps for SO2 and NOx.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 64



## 4.0 NONROAD MOBILE SOURCES INCLUDED IN NMIM

4.1 NONROAD MODEL CATEGORIES

USEPA’s NONROAD model estimates emission s from equipment such as recreational marine vessels, recreational la nd-based vehicles, farm and construction machinery, lawn and garden equipment, aircraft ground s upport equipment (GSE) and rail maintenance equipment. This equipment is powered by di esel, gasoline, compressed natural gas (CNG) or liquefied petroleum gas (LPG) engines.

NMIM was developed by USEPA to develop co unty-level emission estimates for certain types of nonroad equipment. NMIM uses the current version the NONROAD model to develop emission estimates and was used to develop the projection inventories discussed here. The NMIM national county database cont ains monthly input data to reflect county specific fuel parameters and temperatures. Mo st of the work associated with executing NMIM involved updating the NMIM county data base with state-specific information.

4.2 2007 INVENTORY DEVELOPMENT

MARAMA used the NMIM model to develop county level emission estimates by SCC for 2007 (see {MARAMA 2011a} for complete documentation). For this analysis, the NMIM2008 software (version NMIM20090504), th e NMIM County Database (version NCD20090531), and NONROAD2008a (July 2009 ve rsion) were used as starting points (USEPA 2009a). Changes were made to the NCD20090531 based on state review and

comment.

A summary of the major adjustments to the default NMIM County Database for the 2007
NMIM model runs includes:

 State review and adjustments to fuel char acteristics (Reid Vapor Pressure, sulfur and oxygenate fractions) to be tter represent county-specifi c fuel characteristics in 2007; and

 States identified discrepanc ies in the housing and populati on data contained in the
NONROAD model and these data were updated using 2007 housing information and updated 2007 population estimates.

 The recreational marine vessel populations were revised using population data provided by the National Marine Manufactur ers Association (NMMA ). Total state populations for each of the three majo r categories contained in the NONROAD model (outboard, inboard/sterndrive and personal watercraft) were provided.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 65



### Because the population files used by the NONROAD model (and thus NMIM) were configured with population values for various horsepower categories, AMEC
determined the fraction of the total for each marine vessel type in each horsepower category from the NONROAD default populatio n files. These fractions were then used to allocate the total state populat ion obtained from NMMA to the various horsepower categories.

4.3 2025 INVENTORY DEVELOPMENT

MARAMA ran the NMIM model for 2025 for si x jurisdictions (VA, CT, DE, DC, MD, PA). One state, New York, did their ow n NONROAD modeling and provided 2025 NMIM
results for the affected counties.

4.4 REMOVAL OF AIRPORT GR OUND SUPPORT EQUIPMENT

The NMIM/NONROAD model includes emissions from airport ground support equipment. Emissions from airport ground support equipment is also included in USEPA’s aircraft inventory th at was prepared using the Fe deral Aviation Administration’s Emissions and Dispersion Modeling Syst em (EDMS). Correspondence with USEPA
indicated that USEPA considers the emissions calculated by EDMS to be better than those calculated by NONROAD. For this r eason, all emissions calculated by NMIM/ NONROAD for airport ground support equipm ent were removed from both the 2007 and
2025 inventories to avoid double counting emissions.

4.5 NMIM/NONROAD GROWTH AND CONTROL INFORMATION

In estimating future year emissions, the NMIM/NONROAD model includes growth and scrappage rates for equipment in addition to a variety of control programs. It is not possible to separate out the future year emissi ons due to “growth only” or “control only” in a single run. That is, the mode l run provides a single future ye ar estimate that is a “growth
and control” scenario.

The growth data used in the NMIM/NONROAD model is documented in a USEPA report (USEPA 2004c). The GROWTH packet of the NONROAD model cross-references each SCC to a growth indicator code. The indicator is an arbitrary code th at identifies an actual predicted value such as human population or employment that is used to estimate the future year equipment population. The GROW TH packet also defines the scrappage curves used to estimate the future year model year distribution.

The NMIM/NONROAD model also accounts for all USEPA emission standards for nonroad equipment. There are multiple sta ndards that vary by equipment type, ratedDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 66



### power, model year, and pollutant. Exhibit 4.1 is a summary of the emission control programs accounted for in the NMIM/NONROAD model. A complete summary of the nonroad equipment emission standards can be found on USEPA’s nonroad emission standards reference guide website (USEPA 2011).Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 67



### Exhibit 4.1 Control Programs Included in the NMIM/NONROAD Model

Regulation Description
Control of Air Pollution; Determination of Significance for Nonroad Sources and Emission Standards for New Nonroad Compression Ignition Engines At or Above 37 Kilowatts 59 FR 31036 June 17, 1994 This rule establishes Tier 1 exhaust emission standards for HC, NO x , CO, and PM for nonroad compression-ignition (CI) engines ≥ 37kW ( ≥ 50hp). Marine engines are not included in this rule. The start dates and pollutants affected vary by hp category as follows: 50-100 hp: Tier 1,1998; NO x only 100-175 hp: Tier 1, 1997; NO x only 175-750 hp: Tier 1, 1996; HC, CO, NO x , PM >750 hp: Tier 1, 2000; HC, CO, NO x , PM
Emissions for New Nonroad SparkIgnition Engines At or Below 19 Kilowatts; Final Rule 60 FR 34581 July 3, 1995 This rule establishes Phase 1 exhaust emission standards for HC, N NO x Ox, and CO for nonroad spark-ignition engines ≤ 19kW ( ≤ 25hp). This rule includes both handheld (HH) and non-hand-held (NHH ) engines. The Phase 1 standards become effective in 1997 for : Class I NHH engines (<225cc), Class II NHH engines ( ≥ 225cc), Class III HH engines (<20cc), and Class IV HH engines ( ≥ 20cc and <50cc).
The Phase 1 standards become effective in 1998 for: Class V HH engines ( ≥ 50cc)
Final Rule for New Gasoline SparkIgnition Marine Engines; Exemptionsfor New Nonroad CompressionIgnition Engines at or Above 37Kilowatts and New Nonroad SparkIgnition Engines at or Below 19 Kilowatts 61 FR 52088 October 4, 1996 This rule establishes exhaust emission standards for HC+ NO x for personal watercraft and outboard (PWC/OB) marine SI engines. The standards are phased in from 1998-2006.

Control of Emissions of Air Pollution From Nonroad Diesel Engines 63 FR 56967 October 23, 1998 This final rule sets Tier 1 standards for engines under 50 hp, phasing in from 1999 to 2000. It also phases in more stringent Tier 2 standards for all engine sizes from 2001 to 2006, and yet more stringent Tier 3 standards for engines rated over 50 hp from 2006 to 2008. The Tier 2 standards apply to NMHC+ NO x , CO, and PM, whereas the Tier 3 standards apply to NMHC+ NO x and CO. The start dates by hp category and tier are as follows:

hp<25: Tier 1,2000; Tier 2, 2005; no Tier 3 25-50 hp: Tier 1, 1999; Tier 2, 2004; no Tier 3 50-100 hp: Tier 2, 2004; Tier 3, 2008 100-175 hp: Tier 2, 2003; Tier 3, 2007 175-300 hp: Tier 2, 2003; Tier 3, 2006 300-600 hp: Tier 2, 2001, Tier 3, 2006 600-750 hp: Tier 2, 2002; Tier 3, 2006 >750 hp: Tier 2, 2006, no Tier 3 This rule does not apply to marine diesel engines above 50 hp.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 68

Regulation Description

Phase 2: Emission Standards for New Nonroad Nonhandheld Spark Ignition Engines At or Below 19 Kilowatts 64 FR 15207 March 30, 1999 This rule establishes Phase 2 exhaust emission standards for HC+ NO xfor nonroad nonhandheld (NHH) sparkignition engines ≤ 19kW ( ≤ 25hp). The Phase 2 standards for Class I NHH engines (<225cc) become effective on August 1, 2007 (or August 1, 2003 for any engine initially produced on or after that date). The Phase 2 standards for Class II NHH engines ( ≥ 225cc) are phased in from 2001- 2005.

Phase 2: Emission Standards for New Nonroad Spark-Ignition Handheld Engines At or Below 19 Kilowatts and Minor Amendments to Emission Requirements Applicable to Small Spark-Ignition Engines and Marine Spark-Ignition Engines; Final Rule 65 FR 24268 April 25, 2000 This rule establishes Phase 2 exhaust emission standards for HC+ NO x for nonroad handheld (HH) spark-ignition engines ≤ 19kW ( ≤ 25hp). The Phase 2 standards are phased in from 2002-2005 for Class III and Class IV engines and are phased in from 2004-2007 for Class V engines.

Control of Emissions From Nonroad Large Spark-Ignition Engines and Recreational Engines (Marine and Land-Based); Final Rule 67 FR 68241 November 8, 2002 This rule establishes exhaust and evaporative standards for several nonroad categories: 1) Two tiers of emission sta ndards are established for large spark-ignition engines over 19 kW. Tier 1 includes exhaust standards for HC+ NO x and CO and is phased in from 2004-2006. Tier 2 becomes effective in 2007 and includes exhaust standards for HC+ NO x and CO, as along with evaporative controls affecting fuel line permeation, diurnal emissions and running loss emissions. 2) Exhaust and evaporative emission standards are established for recreational vehicles, which include snowmobiles, off-highway motorcycles, and all-terrain vehicles (ATVs). For snowmobiles, HC and CO exhaust standards are phased-in from 2006-2012. For off-highway motorcycles, HC+ NO x and CO exhaust emission standards are phased in from 2006-2007. For ATVs, HC+NO x and CO exhaust emission standards are phased in from 2006-2007. Evaporative emission standards for fuel tank and hose permeation apply to all recreational vehicles beginning in 2008. 3) Exhaust emission standards for HC+ NO x , CO, and PM for recreational marine diesel engines over 50 hp begin in 2006-2009, depending on the engine displacement. These are “Tier 2” equivalent standards.

Control of Emissions of Air Pollution From Nonroad Diesel Engines and Fuel; Final Rule (Clean Air Nonroad Diesel Rule – Tier 4) 69 FR 38958 June 29, 2004 This final rule sets Tier 4 exhaust standards for CI engines covering all hp categories (except marine and locomotives), and also regulates nonroad diesel fuel sulfur content. 1) The Tier 4 start dates and pollutants affected vary by hp and tier as follows: hp<25: 2008, PM only 25-50 hp: Tier 4 transitional, 2008, PM only; Tier 4 final, 2013, NMHC+ NO x and PMDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 69

Regulation Description

50-75 hp: Tier 4 transitional, 2008; PM only; Tier 4 final, 2013, NMHC+ NO x and PM 75-175 hp: Tier 4 transitional, 2012, HC, NO x , and PM; Tier 4 final, 2014, HC, NO x ,PM 175-750 hp:Tier 4 transitional, 2011, HC, NO x , and PM; Tier 4 final, 2014, HC, NO x ,PM >750 hp: Tier 4 transitional, 2011, HC, NO x , and PM; Tier 4 final, 2015, HC, NO x ,PM

2) This rule will reduce nonroad diesel fuel sulfur levels in two steps. First, starting in 2007, fuel sulfur levels in nonroad diesel fuel will be limited to a maximum of 500 ppm, the same as for current highway diesel fuel. Second, starting in 2010, fuel sulfur levels in most nonroad diesel fuel will be reduced to 15 ppm.

Control of Emissions From Nonroad Spark-Ignition Engines and Equipment; Final Rule (Bond Rule) 73 FR 59034 October 8, 2008 This rule establishes exhaust and evaporative standards for small SI engines and marine SI engines:

1) Phase 3 HC+ NO x exhaust emission standards are established for Class I NHH engines starting in 2012 and for Class II NHH engines starting in 2011. There are no new exhaust emission standards for handheld engines. New evaporative standards are adopted for both handheld and nonhandheld equipment. The new evaporative standards control fuel tank permeation, fuel hose permeation, and diffusion losses. The evaporative standards begin in 2012 for Class I NHH engines and 2011 for Class II NHH engines. For handheld engines, the evaporative standards are phased-in from 2012-2016.

2) More stringent HC+ NO x and CO standards are established for marine SI PWC/OB engines beginning in 2010. In addition, new exhaust HC+ NO x and CO standards are established for sterndrive and inboard (SD/I) marine SI engines also beginning in 2010. High performance SD/I engines are subject to separate HC+ NO x and CO exhaust standards that are phased-in from 2010-2011. New evaporative standards were also adopted for all marine SI engines that control fuel hose permeation, diurnal emissions, and fuel tank permeation emissions. The hose permeation, diurnal, and tank permeation standards take effect in 2009, 2010, and 2011, respectively.

Source: USEPA 2010cDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 70



## 5.0 MARINE VESSELS, AIRPORTS, AND RAILROADS

5.1 MAR INVENTORY CATEGORIES

This category of sources is coll ectively referred to as the MAR (marine, airports, railroads)
sector. It includes nonroa d engines associated with the following activities:

 Marine Vessels - The Commercial Marine Vehicle (CMV) sector includes all boats and ships used either directly or indir ectly in the conduct of commerce or military activity. The majority of these vessels are powered by diesel engi nes that are either
fueled with distillate or residual fuel oil blends. For the purpose of this inventory it is assumed that Category 3 vessels prim arily use residual blends, while Category 1 and 2 vessels typically used distillate fuels.

 Airports - The aircraft sector includes all ai rcraft types used for public, private, and military purposes. This includes four t ypes of aircraft 1) Commercial; 2) Air Taxis; 3) General Aviation; and 4) M ilitary. Ground support equipment (GSE) and auxiliary power units (APU ) are also included.

 Railroads - The railroad sector includes ra ilroad locomotives powered by dieselelectric engines. Locomotives are divide d into Class I line ha ul, Class II/III line haul, commuter/passenger and Class I yard.

5.2 2007 INVENTORY DEVELOPMENT

The emission projections for the 2025 point source were based on Version 3_3 of the 2007 MANE-VU+VA inventory and are fully docum ented in the TSD for that effort (MARAMA 2012a). There were no adjustment to the 2007 Version 3_3 MAR inventory for this analysis.

5.3 2025 INVENTORY DEVELOPMENT

Appendix H contains the data that were used to develop growth and control factors for the commercial marine vessel, air port, and railroad sectors.

5.3.1 Commercial Marine Vessels
For the purpose of emission calculations, marine vessel engines are divided into three categories based on displacement (swept volume) per cylinder. Category 1 and Category 2 marine diesel engines typically range in size from about 500 to 8,000 kW (700 to 11,000 hp). These engines are used to provide propulsion power on many kinds of vessels including tugboats, pushboats, supply vessels , fishing vessels, a nd other commercialDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 71



### vessels in and around ports. They are also us ed as stand-alone generators for auxiliary electrical power on vessels. Ca tegory 3 marine diesel engine s typically range in size from 2,500 to 70,000 kW (3,000 to 100,000 hp). These are very large marine diesel engines used for propulsion power on ocean-going vessels such as container ships, oil tankers, bulk carriers, and cruise ships.

The majority of marine vessels are powered by diesel engines that are either fueled with
distillate or residual fuel oil blends. For th e purpose of emission i nventories, USEPA has assumed that Category 3 vessels primarily use residual blends, while Category 1 and 2 vessels typically use di stillate fuels.

USEPA developed national emission invent ories for Category 1 and 2 vessels and Category 3 vessels for calendar years 2002 throu gh 2040 as part of its effort to develop
emission standards for these vessels. The me thodologies used to develop the emission projections (for both a baseline a nd controlled scenario) are do cumented in three regulatory impact assessments (USEPA 2008b, USEPA 2009c, USEPA 2009d). The USEPA data and methodologies from these RIAs were used to develop separate growth and control factors for Category 1 and 2 vessels (diese l) and Category 3 vessels (residual).

5.3.1.1 

### CMV Diesel Growth Factors
For Category 1 and 2 diesel vessels, USEPA used projection data for domestic shipping from the AEO2006 (EIA 2006). The annual grow th rate reported in the RIA is 0.9%. More recent growth data for domestic shipping is availabl e in the AEO2010 (EIA 2010). Because Category 1 and 2 vessels primarily acco unt for activity data for ships that carry domestic cargo, we decided to use the recent growth data for domestic shipping available
in the AEO2010. We used Table A-7 of th e AEO2010 for domestic sh ipping to calculate the growth factor for 2007-2025 to be 1.064. This growth factor was used for CMV diesel port emissions (SCC 22-80-002-100) and CMV diesel underway emissions (SCC 22-80- 002-200).

5.3.1.2 

### CMV Diesel Control Factors
In developing their emission projections, US EPA developed two scenarios that accounted
for both the 2004 nonroad diesel rule and th e 2008 diesel marine vessel rule:

 USEPA’s baseline (pre-control) inventory accounted for:
1. the 0.9 percent annual growth in fuel use based on AEO2006,
2. the impact of existing engine regu lations that took effect in 2008,
3. the 2004 Clean Air Nonroad Diesel Rule that will decrease the allowable
levels of sulfur in fu el beginning in 2012, and
4. fleet turnover.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 72



###  USEPA’s controlled inventory accounted for:

1. the 0.9 percent annual growth in fuel use based on AEO2006;
2. the reductions included in the baselin e inventory, and the reductions from
USEPA’s 2008 rule Final Locomotive-Marine rule for Tier 3 and 4 engines;
3. The 2008 final rule that includes the fi rst-ever national emission standards for existing marine diesel engines, applying to engines larger than 600kW when they are remanufactured. The rule also sets Tier 3 emissions standards for newly-built engines that are phasing in from 2009. Finally, the rule establishes Tier 4 standards for newly-built commercial marine diesel engines above 600kW, phasing in beginning in 2014.

To calculate a control factor that accounts for reductions included in the USEPA controlled inventory, it was necessary to first calculat e a “growth only” scenario applying USEPA’s 0.9 percent annual growth rate to the 2007 ba se emissions. Once the growth rate was applied, then a control factor for each polluta nt was calculated by dividing the future year controlled emissions by the future year “gro wth only” emissions. Exhibit 5.1 shows the control factors for 2013, 2017, 2020, and 2025 for di esel commercial marine vessels.

Exhibit 5.1 CMV Diesel Control Factors by Year and Pollutant

Year NOx PM2.5 SO2

2013 0.787 0.747 0.464

2017 0.642 0.550 0.076

2020 0.537 0.460 0.032

2025 0.401 0.353 0.031



### 5.3.1.3 

### CMV Residual Oil Growth Factors
For Category 3 residual oil vessels, data fr om a USEPA-sponsored study was used to develop an annualized growth f actor of 4.5 percent for the region. A few states considered the growth rate to be extremely high and not reflective of recent economic conditions. Because USEPA’s Category 3 vessel inventory is primarily based on activity data for ships that carry foreign cargo, we decided to use the recent growth data for international shipping available in the AE O2010. We used data from Table A-7 of the AEO2010 for international shipping to calculate the gr owth factor for 2007-2025 to be 0.956. These growth factors were used for CMV residua l oil port emissions (SCC 22-80-003-100) and CMV residual oil underway emissions (SCC 22-80-003-200).Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 73



### 5.3.1.4 

### CMV Residual Oil Control Factors

On December 22, 2009, USEPA announced final emission standards under the Clean Air Act for new marine diesel engines with per-cylinder displacement at or above 30 liters (called Category 3 marine dies el engines) installed on U.S. -flagged vessels. The final engine standards are equivalent to those adopt ed in the amendments to Annex VI to the
International Convention for the Prevention of Pollution from Ships (a treaty called "MARPOL"). The emission standards apply in two stages: near-term standards for newlybuilt engines will apply beginning in 2011, a nd long-term standards requiring an 80 percent reduction in NO x 

### will begin in 2016. USEPA also adopted changes to the diesel fuel program to allow for the production and sa le of diesel fuel with no more than 1,000 ppm sulfur for use in Category 3 marine ve ssels. The regulations generally forbid production and sale of fuels with more than 1,000 ppm sulfur for use in most U.S. waters, unless operators achieve equivalent emission reductions in other ways.

On March 26, 2010, the Internat ional Maritime Organization (I MO) officially designated
waters off North American coasts as an emi ssions control area (ECA) in which stringent international emission standards will apply to ships. In practice, implementation of the ECA means that ships entering the designated area would need to use compliant fuel for the duration of their voyage th at is within that area, in cluding time in port and voyages whose routes pass through the area without calling on a port. The North American ECA includes waters adjacent the Atlantic extending up to 200 nautical miles from east coast of the US. The quality of fuel that complies wi th the ECA standard will change over time. From the effective date in 2012 until 2015, fuel used by vessels operating in designated areas cannot exceed 1.0 percent sulfur (10,000 ppm). Beginning in 2015, fuel used by vessels operating in these ar eas cannot exceed 0.1 percent sulfur (1000 ppm). Beginning in 2016, NO x 

### after treatment requirements become applicable.

To calculate a control factor that acc ounted for reductions included in the USEPA controlled inventory, it was necessary to first calculate a “growth only” scenario applying USEPA’s 4.5 percent annual growth rate to the 2007 base emi ssions. Once the growth rate was applied, then a control factor for each pollutant was calculated by dividing the future year controlled emissions by the future year “growth only” emissions.

Exhibit 5.2 shows the control factors for 2013, 2017, and 2020 for residual oil commercial
marine vessels.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 74



### Exhibit 5.2 CMV Residual Oil Control Factors by Year and Pollutant

Year NOx PM2.5 SO2

2013 0.736 0.353 0.270

2017 0.654 0.216 0.120

2020 0.597 0.137 0.036

2025 0.480 0.137 0.036



### 5.3.1.5 

### Military Vessels Growth and Control Factors
Virginia reported emissions for military vessels , but did not distinguish between diesel or residual fuels. An assumption of “no growth” for military vessel activity and emissions in Virginia was made so that emissions remain at 2007 levels in 2025. Virginia was the only state to report emission from military vessels.

5.3.1.6 

### State-specific CMV Updates for 2025
New Jersey provided updated CMV em ission estimates for 2007, 2013, 2017, 2020, and 2025, and growth and control factors for 2013, 2017, 2020, and 2025. These data were used to replace the emission estimates pr eviously used for the 2007 MANE-VU+VA base year inventory and the MANE-VU+ VA future year inventories.

5.3.2 Airports

Aircraft emissions in the 2007 MANE-VU+VA inve ntory are available on either a countyby-county or airport-by-air port basis for six types of aircraft operations:

 Air carrier operations represent landi ngs and take-offs (LTOs) of commercial aircraft with seating capacity of more than 60 seats;

 Commuter/air taxi operations are one category. Comm uter operations include LTOs by aircraft with 60 or fewer seat s that transport re gional passengers on scheduled commercial flights. Air taxi operations include LTOs by aircraft with 60
or fewer seats conducted on non-sche duled or for-hire flights;

 General aviation represents all civil avia tion LTOs not classified as commercial;

 Military operations represent LTOs by military aircraft;

 Ground Support Equipment (GSE) typically incl udes aircraft refu eling and baggage handling vehicles and equipment, aircraft towing vehicles, and passenger buses;

 Auxiliary power units (APUs) provide power to start the main engines and run the heating, cooling, and ventilation systems prior to starting the main engines.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 75



### 5.3.2.1 

### Airport Growth Factors
Aircraft operations were projected to future years by applying activity growth using data on itinerant (ITN) operations at airports as reported in the Federal Aviation Administration’s (FAA) Terminal Area Forecast (TAF) System for 2009-2030 (FAA 2010). The ITN operations are defined as aircraft take-offs or landings. This information is available for approximately 3300 individual ai rports. Actual LTOs are reported for 2007 and projected LTOs are provided for all years up to 2030.

The data was aggregated and applied at th e county level for the four operation types: commercial, general, air taxi, military. A growth factor was computed for each operation type by dividing future-year ITN by 2007-yearITN. Inventory SCCs were assigned factors based on the operation t ype, as shown in Exhibit 5.3.

Exhibit 5.3 Crosswalk between SCC and FAA Operations Type

SCC SCC Description FAA Operation Type Used for Growth Factor 2265008005 Airport Ground Support Equipment, 4-Stroke Gas Total Itinerant Operations 2267008005 Airport Ground Support Equipment, LPG Total Itinerant Operations 2268008005 Airport Ground Support Equipment, CNG Total Itinerant Operations 2270008000 Airport Ground Support Equipment, Diesel Total Itinerant Operations 2270008005 Airport Ground Support Equipment, Diesel Total Itinerant Operations 2275001000 Aircraft /Military Aircraft /T otal Itinerant Military Operations
2275020000 Aircraft /Commercial Aircraft /Total: All Types Itinerant Air Carrier Operations
2275050000 Aircraft /General Aviation /Total Itinerant General Aviation Operations
2275050011 Aircraft /General Aviation /Piston Itinerant General Aviation Operations
2275050012 Aircraft /General Aviation /Turbine Itinerant General Aviation Operations
2275060000 Aircraft /Air Taxi /Total Itinerant Air Taxi Operations
2275060011 Aircraft /Air Taxi /Piston Itinerant Air Taxi Operations
2275060012 Aircraft /Air Taxi /Turbine Itinerant Air Taxi Operations 2275070000 Aircraft /Aircraft Auxiliary Power Units /Total Total Itinerant Operations



### Exhibit 5.4 summarizes the region-wide gr owth factors by FAA operation type. The growth factor for individual airports/countie s may deviate substantially from these regionwide growth factors.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 76



### Exhibit 5.4 Region-wide Growth Fact ors from 2007 by FAA Operations Type

5.3.2.2 

### Aircraft Control Factors

The NO x 

### aircraft engine emissions standa rds adopted by USEPA in November 2005 (USEPA 2005) were reviewed. The standards are equivalent to the NO x 

### emission standards (adopted in 1999 for implementati on beginning in 2004) of the United Nations International Civil Aviation Organization (ICAO), and will bring the US aircraft standards into alignment with the international standa rds. The standards a pply to new aircraft engines used on commercial aircraft including small regional jets, single-aisle and twinaisle aircraft, and 747s and larger aircraft. Th e standards also apply to general aviation and military aircraft, which sometimes use commercial engines. For example, small regional jet engines are used in executive general aviation aircraft, and larger commercial aircraft engines may be used in military transport aircraft.

Nearly all previously certified or in-production engine models currently meet or perform better than the standards USEPA adopted in the November 2005 rule. In addition, manufacturers have already been developing improved technology in response to the ICAO standards. According to USEPA’s recen t analysis for the proposed transport rule (USEPA 2010b), this rule is expected to reduce NO x 

### emissions by approximately 2 percent in 2015 and 3 percent in 2020. Because of the relatively small amount of NO x 

### reductions, our aircraft emission proj ections do not account for this control program.

USEPA has also issued an Advance Noti ce of Proposed Rulemaking (ANPR) on lead emissions from piston-engine aircraft usi ng leaded aviation gasoline (USEPA 2010c). However, this rule has not yet been adopted and co-benefits for criteria air pollutants are likely to be small. Therefore, the effects of this rule were not included in the future-year emissions projections.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 77



### 5.3.2.3 

### State-specific Airport Updates for 2025
After reviewing the growth factors described in the previous section, Connecticut provided state-specific growth factors for 2025 by S CC and county. These state-specific factors
were used instead of the factors described in the previous section.

New Jersey provided updated aircraft growth factors and emission estimates for 2007, 2013, 2017, 2020, and 2025. These data were used to replace the emission estimates previously used for the 2007 MANE-VU+VA base year inventory and the MANEVU+VA future year inventories.

5.3.3 Railroad Locomotives
Railroad locomotive engine emissions in the 2007 MARAMA inventory are classified into the following categories:

 Class I line haul locomotives are operate d by large freight railroad companies and are used to power freight train opera tions over long distances (SCC 22-85-002- 006);

 Class II/III line haul locomotives are operated by smaller freight railroad companies and are used to power freight train operations over long distances (SCC 22-85-002-007);

 Inter-city passenger train locomotives are operated primarily by Amtrak to provide inter-city passenger tran sport (SCC 22-85-002-008);

 Independent commuter rail systems operate locomotives that provide passenger transport within a metropolitan area (SCC 22-85-002-009); and

 Yard/switch locomotives are used in freight yards to assemble and disassemble trains, or for short hauls of trains that are made up of only a few cars (SCC 22-85- 002-010).

5.3.3.1 

### Railroad Growth Factors
In March 2008, USEPA finalized a three part program that will dramatically reduce
emissions from diesel locomotives of all t ypes -- line-haul, switch, and passenger rail. As part of this work USEPA developed a natio nal emission inventory for calendar years 2002 through 2040. Emission projecti ons methodologies for a baselin e and controlled scenario were developed and documented (USEPA 2008b) . USEPA used projection data from the AEO2006 (EIA 2006). Table A-7 of AEO2006 s howed that freight rail energy use will grow 1.6 percent annually.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 78



### More recent growth data is available in the AEO2010 which was published in May 2010. There are separate projections for passenger rail and freight rail energy use. For the MANE VU+VA inventory the more recent AE O2010 growth projections were used.

Passenger rail data from AEO2010 Table A-7 was used to calcul ate the growth factor for 2007-2025 to be 1.241. These growth factors we re applied to inte r-city passenger train locomotives (SCC 22-85-002-008) and independ ent commuter rail systems (SCC 22-85- 002-009).

For freight rail, the data from AEO2010 Table A-7 was used to calculate the growth factor for 2007-2025 to be 1.098. The freight rail annual growth factors for Class I line haul (SCC 22-85-002-006), Class II/III line haul (SCC 22-85-002-007), and yard switch (SCC 22-85-002-010) locomotives were used.

5.3.3.2 

### Railroad Control Factors
USEPA developed two scenarios that accounted for both the 2004 nonroad diesel rule and
the 2008 diesel locomotive rule:

 USEPA’s baseline (pre-control) inventory accounted for

1. AEO2006 annual growth in fuel use,
2. The impact of existing regulations fo r Tier 0, 1, and 2 locomotive engines that take effect in 2008,
3. The 2004 Clean Air Nonroad Diesel Ru le that will decrease allowable
levels of sulfur in locomotiv es fuel beginning in 2012, and
4. Fleet turnover.

 USEPA’s controlled inventory accounted for

1. AEO2006 annual growth in fuel use,
2. Reductions included in the baseline inventory, and
3. Reductions from USEPA’s 2008 rule Final Locomotive-Marine rule for Tier 3 and 4 engines. This rule lowere d diesel sulfur content and tightened emission standards for existing and new locomotives.
4. Voluntary retrofits under the Natio nal Clean Diesel Campaign are not included in our projections.

To calculate a factor that accounted for re ductions included in the USEPA controlled inventory, it was necessary to first calculat e a “growth only” scenario applying USEPA’s 1.6% annual growth rate to the 2006 base emi ssions. Once the growth rate was applied, then a control factor for each pollutant was calculated by dividing the future year controlled emissions by the future year “growth only” emissions.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 79



### Exhibit 5.5 shows the control factors for 2013, 2017, 2020, and 2025 for the five locomotive classifications and pollutants.

5.3.3.3 

### State-specific Railroad Updates for 2025
New Jersey provided updated railroad growth factors, control factors, and emission estimates for 2007, 2013, 2017, 2020, and 2025. These data were used to replace the emission estimates previously used for th e 2007 MANE-VU+VA base year inventory and the MANE-VU+VA future year inventories.

Exhibit 5.5 Rail Control Factors by Year, Pollutant, and SCC

Year NOx PM2.5 SO2

SCC 22-85-002-006 Line Haul Class I Operations

2013 0.771 0.595 0.003

2017 0.633 0.449 0.003

2020 0.547 0.364 0.003

2025 0.412 0.252 0.003 SCC 22-85-002-007 Line Haul Class II / III Operations

2013 1.000 0.829 0.003

2017 0.960 0.791 0.003

2020 0.920 0.752 0.003

2025 0.852 0.688 0.003
SCC 22-85-002-008 Inter-City Passenger

2013 0.571 0.566 0.003

2017 0.421 0.402 0.003

2020 0.340 0.294 0.003

2025 0.241 0.180 0.003

SCC 22-85-002-009 Commuter Rail

2013 0.571 0.566 0.003

2017 0.421 0.402 0.003

2020 0.340 0.294 0.003

2025 0.241 0.180 0.003

SCC 22-85-002-010 Yard / Switch

2013 0.912 0.777 0.003

2017 0.843 0.712 0.003

2020 0.771 0.650 0.003

2025 0.634 0.534 0.003Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 80



## 6.0 ONROAD MOBILE SOURCES INCLUDED IN MOVES

6.1 MOVES MODEL CATEGORIES

USEPA’s MOVES model estimates emissions from vehicles travel such as cars, trucks, buses and motorcycles. These vehicles are powered by diesel, gasoline, and alternative
fuel formulations. MOVES2010 includes the ca pability to estimate both vehicle exhaust and evaporative emissions (including vehicle refueling emissions) and brake wear and tire wear emissions for criteria pollutants a nd precursors. However, MOVES2010 does not include the capability to estimate emissions of re-entrained road dust. Estimates of
emissions from re-entrained road dust are in cluded in the area source inventory.

6.2 2007 MOVES MODEL INVENTORY

MARAMA provided county-level MOVES results for 2007 for CT, DE, DC, and MD. Other states (NJ, NY, PA, VA) provided resu lts for affected counties in their states.

6.3 2025 MOVES MODEL INVENTORY

MARAMA provided county-level MOVES results for 2025 for CT, DE, DC, and MD. Other states (NJ, NY, PA, VA) provided resu lts for affected counties in their states.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 81



## 7.0 EMISSION SUMMARIES

Exhibits 7.1 to 7.12 summarize PM2.5 and PM precursor emissions by PM nonattainment
area and source sector for 2007 and 2025. Some general observations by pollutant include:

 PM2.5 emissions are projection to de crease between 2007and 2025 in all PM
nonattainment areas. The reductions are due to the turnover to cleaner onroad vehicles, nonroad engines, and reside ntial wood combustion equipment. The PM2.5 emissions shown account for the applic ation of the PM transport factor (see discussion in Section 2.2.1.1 of this TSD).

 NO x 

### emissions decline in all PM nona ttainment areas between 2007 and 2025 and by more than 50 percent in a few areas. Most of the decline results from the
turnover of the onroad vehicle fleet to ve hicles with improved emission controls and fuel efficiency. Reduc tions in nonroad sources are also substantial. Three areas (Baltimore, NY/NJ/CT, and Washingt on DC/MD/VA) also show substantial
reductions due to controls on EGUs.

 SO 2 

### emissions decrease in all PM nonattainment areas. All areas are showing reductions due to the lower sulfur contents of fuels used by onroad vehicles and nonroad equipment. Additional reducti ons in areas located in Maryland, New Jersey, and New York are due to the lower sulfur content regulations in those state for home heating, distillate oil, and re sidual oil. Connecticut, Delaware, the District of Columbia, Pennsylvania, and Virginia did not take credit for any
reductions for low sulfur fuel oils si nce they have not adopted the MANE-VU recommendations into their regulations (see discussion in Section 2.3.2.5 of the TSD). Especially large reductions are f ound in areas where controls are projected to be in place on EGUs (Allentown, Baltimore, Harrisburg, Metro New York, Philadelphia, Pittsburgh, Washingt on DC/MD/VA, and York, PA).

County-by-county emissions for 2007 and 2025 are available on the MARAMA ftp site.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 82



### Exhibit 7.1 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Allentown, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from from
SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 1,987 1,936 -51 -2.6% Nonroad MAR 516 277 -239 -46.3% Nonroad NMIM 2,661 1,007 -1,654 -62.1% Onroad MOVES 15,652 4,190 -11,462 -73.2% Point EGU 7,763 5,837 -1,927 -24.8% Point nonEGU 5,900 2,114 -3,786 -64.2% 34,480 15,362 -19,117 -55.4% Direct PM2.5 Area 2,150 1,958 -192 -8.9% Nonroad MAR 26 15 -11 -42.3% Nonroad NMIM 229 113 -117 -51.0% Onroad MOVES 528 190 -338 -64.0% Point EGU 2,264 2,138 -125 -5.5% Point nonEGU 1,301 1,227 -75 -5.7% 6,498 5,640 -858 -13.2% Sulfur Dioxide (SO2) Area 2,552 1,118 -1,434 -56.2% Nonroad MAR 12 4 -8 -70.4% Nonroad NMIM 147 4 -143 -97.3% Onroad MOVES 118 43 -75 -63.2% Point EGU 48,203 3,962 -44,241 -91.8% Point nonEGU 5,868 5,875 7 0.1% 56,900 11,005 -45,895 -80.7%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 83



### Exhibit 7.2 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Baltimore, MD

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From
SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)

Area 4,732 5,167 435 9.2%

Nonroad MAR 16,703 8,521 -8,182 -49.0%

Nonroad NMIM 10,466 4,265 -6,201 -59.2%

Onroad MOVES 43,939 15,900 -28,038 -63.8%

Point EGU 23,572 8,939 -14,634 -62.1%

Point nonEGU 11,981 13,362 1,380 11.5%
111,394 56,154 -55,240 -49.6%

Direct PM2.5

Area 5,004 5,197 193 3.9%

Nonroad MAR 572 201 -371 -64.8%

Nonroad NMIM 969 519 -450 -46.4%

Onroad MOVES 1,503 749 -755 -50.2%

Point EGU 6,677 7,134 456 6.8%

Point nonEGU 2,296 2,366 71 3.1%
17,022 16,166 -855 -5.0% Sulfur Dioxide (SO2)

Area 2,316 315 -2,001 -86.4%

Nonroad MAR 1,803 268 -1,535 -85.1%

Nonroad NMIM 581 15 -566 -97.4%

Onroad MOVES 375 380 5 1.3%

Point EGU 93,665 18,922 -74,744 -79.8%

Point nonEGU 4,759 4,867 108 2.3%
103,499 24,766 -78,733 -76.1%

Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 84



### Exhibit 7.3 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Hagerstown Martinsburg, MD-WV

Annual Annual Change (tpy) Change (%)

(tons) (tons) from from
SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 296 339 43 14.5%
Nonroad MAR 289 144 -145 -50.2%
Nonroad NMIM 793 301 -492 -62.0%
Onroad MOVES 5,124 1,966 -3,158 -61.6%
Point EGU 1,398 1,390 -8 -0.6%
Point nonEGU 1,982 1,518 -465 -23.4% 9,883 5,657 -4,225 -42.8%
Direct PM2.5
Area 501 538 37 7.3% Nonroad MAR 10 3 -7 -68.6% Nonroad NMIM 74 33 -41 -55.6% Onroad MOVES 185 69 -117 -62.8% Point EGU 310 299 -11 -3.5% Point nonEGU 188 188 0 0.1% 1,269 1,131 -138 -10.9% Sulfur Dioxide (SO2)
Area 274 83 -191 -69.7%
Nonroad MAR 5 2 -4 -69.4%
Nonroad NMIM 45 1 -44 -97.6%
Onroad MOVES 44 47 3 6.4%
Point EGU 5,536 4,590 -946 -17.1%
Point nonEGU 1,277 1,271 -6 -0.5% 7,182 5,993 -1,189 -16.5%

Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES model

Note: only includes emissions for Washington County, MD; emissions for West Virginia portion of the nonattainment area will be provided by Maryland in their SIP submittal.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 85



### Exhibit 7.4 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Harrisburg-Lebanon-Carlisle-York, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 3,874 3,705 -169 -4.4% Nonroad MAR 1,775 981 -793 -44.7% Nonroad NMIM 5,329 2,055 -3,274 -61.4% Onroad MOVES 36,440 9,338 -27,102 -74.4% Point EGU 15,985 15,531 -454 -2.8% Point nonEGU 10,965 9,646 -1,319 -12.0% 74,368 41,255 -33,113 -44.5% Direct PM2.5 Area 5,452 5,201 -251 -4.6% Nonroad MAR 74 35 -39 -52.3% Nonroad NMIM 474 211 -263 -55.4% Onroad MOVES 1,225 346 -879 -71.8% Point EGU 2,123 2,060 -63 -3.0% Point nonEGU 923 915 -8 -0.9% 10,272 8,769 -1,503 -14.6% Sulfur Dioxide (SO2) Area 4,900 2,763 -2,136 -43.6% Nonroad MAR 30 15 -15 -50.2% Nonroad NMIM 293 8 -285 -97.3% Onroad MOVES 255 89 -165 -64.9% Point EGU 106,189 5,179 -101,010 -95.1% Point nonEGU 11,520 11,539 19 0.2% 123,186 19,593 -103,593 -84.1%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 86



### Exhibit 7.5 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Johnstown, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)

Area 861 822 -39 -4.5%

Nonroad MAR 1,132 568 -564 -49.8%

Nonroad NMIM 909 366 -543 -59.7%

Onroad MOVES 6,017 1,217 -4,800 -79.8%

Point EGU 41,440 40,004 -1,435 -3.5%

Point nonEGU 932 1,097 165 17.7%
51,291 44,074 -7,216 -14.1%

Direct PM2.5

Area 1,198 1,114 -84 -7.0%

Nonroad MAR 45 18 -27 -60.6%

Nonroad NMIM 84 36 -48 -56.9%

Onroad MOVES 195 43 -152 -78.2%

Point EGU 2,867 2,768 -99 -3.4%

Point nonEGU 231 234 3 1.4%
4,619 4,212 -407 -8.8% Sulfur Dioxide (SO2)

Area 1,179 593 -586 -49.7%

Nonroad MAR 13 1 -12 -95.9%

Nonroad NMIM 51 1 -50 -97.4%

Onroad MOVES 45 12 -32 -72.3%

Point EGU 143,303 141,481 -1,821 -1.3%

Point nonEGU 30 35 4 14.7%
144,621 142,123 -2,498 -1.7%

Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES model

Note: summary includes emissions for all of Indi ana County; however, only part of the county is in
the nonattainment area.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 87



### Exhibit 7.6 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Lancaster, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 1,827 1,704 -122 -6.7% Nonroad MAR 293 140 -153 -52.1% Nonroad NMIM 2,880 1,170 -1,710 -59.4% Onroad MOVES 14,163 3,779 -10,384 -73.3% Point EGU 0 0 0 0.0% Point nonEGU 1,147 1,383 236 20.5% 20,310 8,177 -12,133 -59.7% Direct PM2.5 Area 1,827 1,704 -122 -6.7% Nonroad MAR 293 140 -153 -52.1% Nonroad NMIM 2,880 1,170 -1,710 -59.4% Onroad MOVES 14,163 3,779 -10,384 -73.3% Point EGU 0 0 0 0.0% Point nonEGU 1,147 1,383 236 20.5% 20,310 8,177 -12,133 -59.7% Sulfur Dioxide (SO2) Area 3,030 1,766 -1,264 -41.7% Nonroad MAR 4 0 -3 -87.6% Nonroad NMIM 144 5 -139 -96.8% Onroad MOVES 104 38 -66 -63.4% Point EGU 0 0 0 0.0% Point nonEGU 102 120 18 17.5% 3,384 1,929 -1,454 -43.0%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 88



### Exhibit 7.7 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions
Nonattainment Area: Metro New York/Nor thern New Jersey/Long Island NY/NJ/CT

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx) Area 64,044 56,873 -7,170 -11.2% Nonroad MAR 46,842 31,820 -15,023 -32.1% Nonroad NMIM 70,841 13,603 -57,238 -80.8% Onroad MOVES 252,723 74,474 -178,249 -70.5% Point EGU 36,928 33.841 -3,087 -8.4% Point nonEGU 20,117 20,881 765 3.8% 491,675 231,660 -260,014 -52.9% Direct PM2.5 Area 18,512 19,318 805 4.4% Nonroad MAR 1,705 755 -950 -55.7% Nonroad NMIM 5,873 1,534 -4,339 -73.9% Onroad MOVES 10,189 4,878 -5,311 -52.1% Point EGU 6,267 4,274 -1,994 -31.8% Point nonEGU 1,530 1,704 174 11.4% 44,131 32,457 -11,674 -26.5% Sulfur Dioxide (SO2) Area 42,122 10,353 -31,768 -75.4% Nonroad MAR 11,823 1,957 -9,865 -83.4% Nonroad NMIM 3,720 56 -3664 -98.5% Onroad MOVES 1,750 1,564 -186 -10.6% Point EGU 63,236 44,139 -19,097 -30.2% Point nonEGU 5,293 5,351 59 1.1% 126,427 63,420 -63,005 -43.7%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES model

Note: 2025 NMIM emissions for New York counties are missing from the above summaries.

Note 2: New Jersey made changes to Point EGU values in this table after AMEC finalized the project. The changes were made by MARAMA.

Note 3: GSE Emissions were removed from 2025 total for consistency.

Note 4: 2007 and 2025 Connecticut NMIM was updated with runs that use Version 3 inputs, including revisions to the Pleasurecraft population file.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 89



### Exhibit 7.8 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Philadelphia-Wilmington, PA/DE/NJ

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 18,043 17,741 -302 -1.7%

Nonroad MAR 12,271 9,357 -2,913 -23.7%

Nonroad NMIM 19,579 8,305 -11,274 -57.6%

Onroad MOVES 106,315 26,648 -79,668 -74.9%

Point EGU 12,616 4,873 -7,743 -61.4%

Point nonEGU 19,143 14,944 -4,199 -21.9%
187,967 81,869 -106,099 -56.4%

Direct PM2.5
Area 13,811 12,983 -829 -6.0%

Nonroad MAR 658 299 -360 -54.7%

Nonroad NMIM 1,808 1,059 -749 -41.4%

Onroad MOVES 3,795 1,443 -2,352 -62.0%

Point EGU 1,048 813 -236 -22.5%

Point nonEGU 3,524 3,062 -462 -13.1%
24,644 19,657 -4,987 -20.2% Sulfur Dioxide (SO2)
Area 16,763 9,756 -7,007 -41.8%

Nonroad MAR 5,136 677 -4,459 -86.8%

Nonroad NMIM 998 32 -966 -96.7%

Onroad MOVES 773 422 -351 -45.4%

Point EGU 20,665 4,563 -16,102 -77.9%

Point nonEGU 14,370 8,990 -5,380 -37.4%
58,705 24,440 -34,265 -58.4%

Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 90



### Exhibit 7.9 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Pittsburgh-Beaver Valley, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 8,608 8,613 5 0.1%

Nonroad MAR 14,258 7,116 -7,142 -50.1%

Nonroad NMIM 9,827 4,223 -5,605 -57.0%

Onroad MOVES 56,652 12,725 -43,927 -77.5%

Point EGU 82,657 84,453 1,795 2.2%

Point nonEGU 20,217 18,760 -1,456 -7.2%
192,219 135,890 -56,330 -29.3%

Direct PM2.5
Area 7,562 6,835 -728 -9.6%

Nonroad MAR 467 196 -271 -58.1%

Nonroad NMIM 880 432 -448 -50.9%

Onroad MOVES 1,905 531 -1,374 -72.1%

Point EGU 6,293 6,348 55 0.9%

Point nonEGU 5,108 5,109 1 0.0%
22,216 19,450 -2,766 -12.4% Sulfur Dioxide (SO2)
Area 13,589 10,791 -2,798 -20.6%

Nonroad MAR 260 95 -165 -63.4%

Nonroad NMIM 529 15 -514 -97.2%

Onroad MOVES 419 141 -278 -66.4%

Point EGU 429,186 93,130 -336,056 -78.3%

Point nonEGU 13,247 13,699 451 3.4%
457,230 117,871 -339,359 -74.2%

Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES model

Note: summary includes emissions for all of A llegheny, Armstrong, Greene and Lawrence counties; however, only parts of those counties are in the nonattainment area.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 91



### Exhibit 7.10 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Reading, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx)
Area 1,289 1,114 -175 -13.6% Nonroad MAR 621 307 -314 -50.5% Nonroad NMIM 1,911 696 -1,215 -63.6% Onroad MOVES 11,370 2,831 -8,538 -75.1% Point EGU 2,506 2,432 -74 -2.9% Point nonEGU 3,288 1,919 -1,369 -41.6% 20,983 9,298 -11,685 -55.7% Direct PM2.5 Area 1,859 1,727 -132 -7.1% Nonroad MAR 30 15 -15 -51.5% Nonroad NMIM 161 72 -88 -54.9% Onroad MOVES 379 96 -284 -74.7% Point EGU 947 921 -26 -2.7% Point nonEGU 325 331 6 1.8% 3,701 3,161 -540 -14.6% Sulfur Dioxide (SO2) Area 2,389 1,223 -1,166 -48.8% Nonroad MAR 7 1 -7 -92.6% Nonroad NMIM 99 3 -96 -97.1% Onroad MOVES 81 27 -53 -66.3% Point EGU 14,491 13,990 -501 -3.5% Point nonEGU 649 660 11 1.7% 17,716 15,903 -1,812 -10.2%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 92



### Exhibit 7.11 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: Washington DC/MD/VA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx) Area 8,936 9,342 406 4.5% Nonroad MAR 6,700 6,711 11 0.2% Nonroad NMIM 20,097 8,000 -12,097 -60.2% Onroad MOVES 42,971 14,067 -28,904 -67.3% Point EGU 29,029 13,919 -15,109 -52.0% Point nonEGU 8,826 11,253 2,427 27.5% 116,643 63,295 -53,348 -45.7% Direct PM2.5 Area 9,528 9,725 198 2.1% Nonroad MAR 201 160 -40 -20.2% Nonroad NMIM 2,005 1,110 -895 -44.7% Onroad MOVES 1,467 728 -739 -50.4% Point EGU 4,984 4,996 12 0.2% Point nonEGU 563 594 32 5.6% 18,746 17,316 -1,430 -7.6% Sulfur Dioxide (SO2) Area 5,733 3,862 -1,871 -32.6% Nonroad MAR 416 488 72 17.3% Nonroad NMIM 1,233 28 -1,205 -97.8% Onroad MOVES 387 347 -40 -10.4% Point EGU 179,243 24,694 -154,549 -86.2% Point nonEGU 4,206 3,570 -636 -15.1% 191,215 32,990 -158,225 -82.7%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES model

Note: 2007 and 2025 MOVES onroad emissions for Virginia counties are missing from the above
summaries.

Note2: GSE Emissions were removed from 2025 total for consistency.Documentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 93



### Exhibit 7.12 Comparison of 2007 and 2025 PM2.5 and PM Precursor Emissions Nonattainment Area: York, PA

Annual Annual Change (tpy) Change (%)

(tons) (tons) from From SECTOR 2007 2025 2007 to 2025 2007 to 2025 Oxides of Nitrogen (NOx) Area 1,680 1,678 -2 -0.1% Nonroad MAR 198 104 -93 -47.2% Nonroad NMIM 2,463 836 -1,627 -66.1% Onroad MOVES 10,519 2,740 -7,779 -74.0% Point EGU 15,760 15,226 -534 -3.4% Point nonEGU 6,404 6,431 28 0.4% 37,024 27,015 -10,008 -27.0% Direct PM2.5 Area 2,394 2,325 -69 -2.9% Nonroad MAR 13 7 -6 -48.7% Nonroad NMIM 189 77 -112 -59.4% Onroad MOVES 348 121 -227 -65.2% Point EGU 2,098 2,026 -72 -3.4% Point nonEGU 364 365 1 0.3% 5,407 4,921 -486 -9.0% Sulfur Dioxide (SO2) Area 1,684 1,059 -625 -37.1% Nonroad MAR 2 0 -2 -88.4% Nonroad NMIM 132 3 -129 -97.5% Onroad MOVES 79 28 -50 -63.8% Point EGU 106,158 5,136 -101,021 -95.2% Point nonEGU 9,743 9,749 6 0.1% 117,798 15,977 -101,821 -86.4%
Nonroad MAR – includes commercial marine vessels, airports, and railroad locomotives Nonroad NMIM – includes equipment included in USEPA’s NMIM/NONROAD model
Onroad MOVES – includes emissions calculated by USEPA’s MOVES modelDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 94



## 8.0 DELIVERABLES

Files are stored on MARAMA ftp site:

Address: ftp.marama.org Login ID: regionalei

Password: marama2007

Folder: /2025/Final 2025 (Version 3_3)

Exhibit 8.1 lists the file names for all final deliverables.

Exhibit 8.1 Final Deliverables

File Name Description

TSD V3_3 MANE-VU 2025 Inventory PM
Nonattainment Counties.docx Technical Support Document for 2025 emission inventory for PM nonattainment counties

Appendix A1 AEO2010 New England.xls AEO2010 Energy Consumption by Sector and Source for New England Region (CT, MA, ME, NH, RI, VT) and calculated growth factors

Appendix A2 AEO2010 Mid Atlantic.xls AEO2010 Energy Consumption by Sector and Source for Mid-Atlantic Region (NJ, NY, PA) and calculated growth factors

Appendix A3 AEO2010 South Atlantic.xls AEO 2010 Energy Consumption by Sector and Source for South Atlantic Region (DC, DE, MD, VA) and calculated growth factors

Appendix A4 AEO2011 New England.xls AEO2011 Energy Consumption by Sector and Source for New England Region (CT, MA, ME, NH, RI, VT) and calculated growth factors

Appendix A5 AEO2011 Mid Atlantic.xls AEO2011 Energy Consumption by Sector and Source for Mid-Atlantic Region (NJ, NY, PA) and calculated growth factors

Appendix A6 AEO2011 South Atlantic.xls AEO 2011 Energy Consumption by Sector and Source for South Atlantic Region (DC, DE, MD, VA) and calculated growth factors

Appendix A7 AEO2010 vs AEO2011 Comparison.docx Technical Memorandum comparing AEO2010 and AEO2011 energy consumption projections

Appendix B Population_Factors.xls County -level population growth factors as provided by statesDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 95

File Name Description

Appendix C Employment_Factors.xls State-leve l employment growth factors provided by states

Appendix D VMT GF Nonattainment
Counties.xls County-level VMT for 2007 and 2025

Appendix E EPA2020 Res Wood.xls USEPA grow th factor formulas by SCC for
residential wood combustion

Appendix F AEO2011-Electricity Generation by
EMM.xlsx AEO 2011 Electricity Generation by Electricity Market Module Region and Source, Reference case, and associated growth factors

Appendix G UAF NEEDS Control
FileMASTER92211.xls State information on future EGU controls and
emission rates

Appendix H MAR Growth and Control.xls U SEPA and FAA data used to develop growth
and control factors for commercial marine vessels, airports, and railroads

V3_3 Area_07_25 PM Nonattainment.xlsx County and SCC-level emissions and growth/control factors for area sources

V3_3 EGU_07_25 PM Nonattainment.xlsx Unit level emissions and growth/control factors
for EGUs

V3_3 MAR_07_25 PM Nonattainment.xlsx County and SCC-level emissions and growth/control factor s for commercial marine vessels, airports, and railroad locomotives

V3_3 MOVES_07_25 PM Nonattainment.xlsx County level emissions for onroad vehicles
included in USEPA’s MOVES model

V3_3 NMIM_07_25 PM Nonattainment.xlsx County and SCC-level emissions for nonroad equipment included in USEPA’s
NMIM/NONROAD model

V3_3 NonEGU_07_25 PM Nonattainment.xlsx Unit level emissions and growth/control factors
for nonEGUs

V3_3 Summaries_ 07_25 PM
Nonattainment.xlsx Emission summaries by county and
nonattainment areaDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 96



## 9.0 REFERENCES

EIA 2006 . U.S. Department of Energy, En ergy Information Administration. Annual Energy Outlook with Proj ections to 2030 (AEO2006). DOE/EIA-0383(2006). February
2006. http://www.eia.doe.gov/oiaf/a rchive/aeo06/pdf/0383(2006).pdf

EIA 2010 . U.S. Department of Energy, En ergy Information Administration. Annual Energy Outlook with Proj ections to 2035 (AEO2010) ; DOE/EIA-0383(2010). April 2010. http://www.eia.doe.gov/oiaf/aeo/assumption/pdf/0554(2010).pdf

EIA 2011a . U.S. Department of Energy, En ergy Information Administration. Annual Energy Outlook with Proj ections to 2035 (AEO2011) ; DOE/EIA-0383(2011). April 2011. http://www.eia.gov/forecasts/aeo/pdf/0383(2011).pdf

EIA 2011b . U.S. Department of Energy, En ergy Information Administration. Annual Energy Outlook with Projections to 2035 (AEO 2011) – Table 96 Electri city Generation by Electricity Market Module Re gion and Source, Reference case ; DOE/EIA-0383(2011). April 2011. http://www.eia.gov/forecasts/aeo/pdf/0383(2011).pdf

FAA 2010. Federal Aviation Administration. Terminal Area Forecast 2009-2030

. Database file (APO100_TAF_Final_2010.zip) downloaded July 2010. http://aspm.faa.gov/main/taf.asp

MANE-VU 2007. Mid-Atlantic / Northeast Visibility. Statement of the MidAtlantic/Northeast Visibility Union Concer ning a Course of Action within MANE-VU Toward Assuring Reasonable Progress . June 20, 2007. http://www.otcair.org/manevu/docum ent.asp?fview=Formal%20Actions

MARAMA 2007. Prepared by MACTEC Federal Progr ams, Inc. for the Mid-Atlantic Regional Air Management Association. Development of Emissions Projections for 2009, 2012, and 2018 for NonEGU Point, Area, and Nonroad Sources in the MANE-VU Region. February 2007. http://www.marama.org/technical- center/emissions-inventory/2002- inventory-and-projecti ons/mane-vu-future-y ear-emissions-inventory

MARAMA 2011a. Prepared by MACTEC Engineeri ng and Consulting, Inc. for the MidAtlantic Regional Air Management Association. Technical Support Document for the Development of the 2007 Emission Inventory for Regional Air Quality Modeling in the Northeast / Mid-Atlantic Region . February 27, 2011.

MARAMA 2011b. Prepared by MACTEC Engineering and Consulting, Inc. for the MidAtlantic Regional Air Management Association. Technical Support Document for theDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 97



### Development of the 2013/2017/2020 Emission In ventories for Regional Air Quality Modeling in the Northeast / Mid-Atlantic Region . February 27, 2011.

MARAMA 2012a. Prepared by AMEC Environment and Infrastructure and SRA
International for the Mid-Atlantic Regional Air Manage ment Association. Technical Support Document for the Development of the 2007 Emission Inventory for Regional Air Quality Modeling in the Northeast / Mid-Atlantic Region Version 3_3 . January 23, 2012.

MARAMA 2012b. Prepared by AMEC Environment and Infrastructure and SRA
International for the Mid-Atlantic Regional Air Manage ment Association. Technical Support Document for the Development of the 2013/2017/2020 Emission Inventories for Regional Air Quality Modeling in the No rtheast / Mid-Atlantic Region Version 3_3

. January 23, 2012

OTC 2001. Prepared by E.H. Pechan & Associates, Inc. for the Ozone Transport
Commission. Control Measure Development Support Analysis of Ozone Transport
Commission Model Rules . March 31, 2001. http://www.otcair.org/Document.asp?fview=Report#

OTC 2007. Prepared by MACTEC Federal Prog rams, Inc. for the Ozone Transport
Commission. Identification and Evaluation of Ca ndidate Control Measures – Final Technical Support Document. February 28, 2007. http://www.otcair.org/Document.asp?fview=Report#

OTC 2009a. Ozone Transport Commission. Status Report on OTC States’ Efforts to Promulgate Regulations Ba sed on OTC 2001 Model Rules . October 19, 2009. http://www.otcair.org/interest.asp?Fview=stationary

OTC 2009b. Ozone Transport Commission. Status Report on OTC States’ Efforts to Promulgate Regulations Ba sed on OTC 2006 Model Rules . October 19, 2009. http://www.otcair.org/interest.asp?Fview=stationary

USEPA 2004a. E.H. Pechan & Associates, Inc. fo r the U.S. Environmental Protection Agency Crosswalk Between Source Classificati on Code (SCC)and Emission Activity
Growth Factors – Final Technical Memorandum. September 9, 2004. http://www.epa.gov/ttn/ecas/SCCcrosswalk.pdf

USEPA 2004b. E.H. Pechan & Associates, Inc. fo r the U.S. Environmental Protection Agency Crosswalk Between Standard Industrial Cl assification (SIC) Codes and Emission Activity Growth Factors – Fi nal Technical Memorandum. September 9, 2004. http://www.epa.gov/ttn/ecas/SICcrosswalk.pdfDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 98



### USEPA 2004c. U.S. Environmental Protection Agency. Nonroad Engine Growth

Estimates . EPA-420/P-04-08. April 2004. http://www.epa.gov/otaq/models/nonrdmdl/nonrdmdl2004/420p04008.pdf

USEPA 2005a. U.S. Environmental Protection Agency. Control of Air Pollution From Aircraft and Aircraft Engines; Emission Standards and Test Procedures: Final Rule. November 17, 2005. http://www.epa.gov/fedrgstr/E PA-AIR/2005/November/Day17/a22704.pdf

USEPA 2007a. U.S. Environmental Protections Agency. Emissions Modeling Clearinghouse - Fugitive Dust Fractions . February 2007. http://www.epa.gov/ttn/chief/emch/dustfractions )

USEPA 2007b. U.S. Environmental Protection Agency. Guidance for Estimating VOC and NOx Emission Changes from MACT Rules . EPA-457/B-07-001. May 2007. http://www.epa.gov/ttn/naaqs/ozone/o3i mp8hr/documents/guidance/200705_epa457_b-07- 001_emission_changes_mact_rules.pdf

USEPA 2008a. U.S. Environmental Protection Agency. Control Techniques Guidelines

. http://www.epa.gov/ttncaaa1/t1ctg.html

USEPA 2008b. U.S. Environmental Protection Agency. Regulatory Impact Analysis: Control or Emissions of Air Pollution from Locomotive Engines and Marine Compression Engines Less than 30 Liters Per Cylinder. EPA420-R-08-001a. May 2008. http://www.epa.gov/otaq/regs/nonroad/420r08001a.pdf

USEPA 2009a. U.S. Environmental Protection Agency. National Mobile Inventory
Model. http://www.epa.gov/otaq/nmim.htm

USEPA 2009c. U.S. Environmental Protection Agency. Regulatory Impact Analysis: Control of Emissions of Air Pollution fr om Category 3 Marine Diesel Engines. EPA420-R09-019. December 2009. http://www.epa.gov/otaq/regs/ nonroad/marine/ci/420r09019.pdf

USEPA 2009d. U.S. Environmental Protection Agency. Proposal to Designate an Emissions Control Area for Nitrogen Oxides, Sulfur Oxides, and Particulate Matter. EPA420-R-09-007. April 2009. http://www.epa.gov/otaq/regs/ nonroad/marine/ci/420r09007- chap2.pdf

USEPA 2010a. U.S. Environmental Protection Agency. 2020 Emissions Data from EPA’s 2005-based V4 Modeling Platform; Projection and Control Factors . Provided by Rich Mason on April 15, 2010. ftp://ftp.epa.gov/EmisInventory/2005v4/projection_control_packetsDocumentation for the 2025 Emission Inventory for PM Nonat tainment Counties in the MANE-VU Region January 23, 2012 Page 99



### USEPA 2010b. U.S. Environmental Protection Agency. Transport Rule Emission Inventories Notice of Data Availability (NODA). Docket ID No. EPA-HQ-OAR-2009- 0491. October 27, 2010. TR_EI_NODA_releva nt_CoSTpackets_and_inventories.xls ftp://ftp.epa.gov/EmisInventory/2005v4/tr_ei_noda

USEPA 2010c. U.S. Environmental Protection Agency. Advance Notice of Proposed Rulemaking on Lead Emissions from Piston- Engine Aircraft Using Leaded Aviation
Gasoline . April 2010. http://www.epa.gov/oms/regs/ nonroad/aviation/420f10013.pdf

USEPA 2011. U.S. Environmental Protection Agency. Emission Standards Reference
Guide. http://www.epa.gov/otaq/standards/index.htm

# Appendix E Emission Inventory Detail Spreadsheet

### Appendix E: Emission Inve ntory Detail Spreadsheet

The file size of the data document in Appendix E is 1.5 MB with many individual spreadsheets that are interlinked and very large. Due to the difficulty of transferring this document into a readable format for the Web, it is not available for immediate download via the MDE Web site. Copies of this appendix may be quickly obtained from the following

MDE personnel:

Brian Hug Deputy Program Manager Air Quality Planning Program bhug@mde.state.md.us (410) 537-4125

Roger Thunell Chief, Planning and Policy Division rthunell@mde.state.md.us (410) 537-3273

# Appendix F

Onroad Mobile MOVES Documentation, Conformity

Data and Budgets` 

# On-Road (Highway) Mobile Emissions Inventory Documentation for the Washington County, Maryland PM 2.5 

# Nonattainment Area

Prepared for:

Mobile Sources Control Program Maryland Department of the Environment 1800 Washington Boulevard Baltimore, MD 21230

Prepared by: Michael Baker Jr., Inc. 1304 Concourse Drive, Suite 200 Linthicum, MD 21090

Modified by: Mobile Sources Control Program Maryland Department of the Environment



# April 2013

### The Washington County, Maryland PM 2.5 

### Non-Attainment Area On-Road (Highway) Mobile Emi ssions Inventory Documentation



# TABLE OF CONTENTS

OVERVIEW ....................................................................................................................... .........................................1

B ACKGROUND : ..........................................................................................................................................................1 H IGHWAY E MISSIONS :...............................................................................................................................................1 A NALYSIS M ETHODOLOGY :.......................................................................................................................................2

DESCRIPTION OF INPUT DATA ...................................................................................................... .....................5

R OADWAY D ATA :......................................................................................................................................................6 T RAFFIC V OLUMES G ROWTH R ATES : ........................................................................................................................7 O THER S UPPORTING T RAFFIC D ATA :.........................................................................................................................7 V EHICLE C LASS D ATA :..............................................................................................................................................8 V EHICLE A GES : .........................................................................................................................................................8 V EHICLE P OPULATION D ATA :....................................................................................................................................9 E NVIRONMENTAL AND F UEL D ATA : ..........................................................................................................................9 O THER V EHICLE T ECHNOLOGY AND C ONTROL S TRATEGY D ATA : ..........................................................................10

ANALYSIS METHODOLOGY ........................................................................................................... ....................11

VMT P REPARATION : .............................................................................................................................. .................11 S PEED E STIMATION : .............................................................................................................................. ..................13 D EVELOPING THE MOVES T RAFFIC I NPUT F ILES : ..................................................................................................14 MOVES R UNS : .......................................................................................................................................................15

RESOURCES.............................................................................................................................................................16

HIGHWAY VEHICLE INVENTORY GLOSSARY ............................................................................................. 17



# List of Exhibits

E XHIBIT 1: S UMMARY OF A PPENDICES ...........................................................................................................................1 E XHIBIT 2: S UMMARY OF H IGHWAY E MISSIONS I NVENTORY FOR W ASHINGTON C OUNTY ............................................1 E XHIBIT 3: T RANSPORTATION C ONFORMITY E MISSION B UDGETS FOR W ASHINGTON C OUNTY .....................................2 E XHIBIT 4: L OCAL D ATA I NPUTS U SED FOR E MISSIONS I NVENTORY .............................................................................3 E XHIBIT 5: E MISSION C ALCULATION P ROCESS ...............................................................................................................4 E XHIBIT 6: E XAMPLES OF K EY MOVES I NPUT D ATA ....................................................................................................5 E XHIBIT 7: MDOT U RBAN /R URAL AND F UNCTIONAL C LASS C ODES ............................................................................6 E XHIBIT 8: MOVES S OURCE T YPES AND HPMS V EHICLE G ROUPS ..............................................................................8 E XHIBIT 9: PPSUITE S PEED /E MISSION E STIMATION P ROCEDURE ...............................................................................12 E XHIBIT 10: E MISSION F ACTOR VS

. S PEED V ARIANCES (PM2.5) .................................................................................13 

# Appendices

APPENDIX A: VMT AND EMISSIONS SUMMARIES ........................................................................................ ...A

APPENDIX B: SAMPLE MOVES RUN SPECIFICATION FILE............................................................................. B

APPENDIX C: MOVES INPU T PARAMETER SUMMARY .................................................................................... C

# OVERVIEW

This document provides the on-road (highway) mobile source emissions inventory for the Washington County, Maryland (MD) PM2.5non-attainment area using Environmental Protection Agency (EPA)’s Motor Vehicle Emission Simulator (MOVES) model. The document includes a summary of the methodology and data assumptions used for the analysis. As shown in Exhibit 1, appendices have been provided with additional detail regarding the MOVES input parameters, vehicle miles traveled (VMT) and emission results for the nonattainment area.



### Exhibit 1: Summary of Appendices
Appendix Title Description (PM2.5, VOC, NOx, SO2, and NH3) Emission Results Provides annual emission exhibits by county, road type, and source type categories in 2002, 2007, 2017 and 2025. 

### A

MOVES Sample Input File Provides example of the MOVES input files. 

### B

MOVES Input Parameter Summary Provides a summary of input parameters related to traffic data sources, fuel, weather, I/M, and other MOVES related input data. 

### C



## Background:
The emissions inventory was developed using EPA’s emissions model, MOVES2010. MOVES is now EPA’s stateof-the-art tool for estimating emissions from highway vehicles. Compared to previous tools, MOVES incorporates the latest emissions data, more sophisticated calculation algorithms, increased user flexibility, new software design, and significant new capabilities. EPA announced the rel ease of MOVES2010 in March 2010 (75 Federal Register 9411), and released a minor revision as MOVES2010a in September 2010. In April 2012, EPA released MOVES2010b to allow MOVES users to benefit from seve ral improvements to general model performance. MOVES2010b does not affect the criteria pollutant emissions results of MOVES2010a and therefore is not a new model. Based on the timing of the analysis, this hi ghway emissions inventory utilizes the MOVES2010a model.


## Highway Emissions:
Exhibit 2 summarizes the highway emissions inventory for the Washington nonattainment area. The emission estimates for all pollutants have been developed usin g the MOVES2010a emission model and latest planning assumptions. Emissions have been estimated for the 2002, 2007, 2017 and 2025 analysis years. The 2002 and 2007 emission estimates were developed and provided by Maryland Department of the Environment (MDE).



### Exhibit 2: Summary of Highway Emissions Inventory for Washington County Annual Emissions (Short tons/year)

County VMT VOC NOx PM 2.5 SO2 NH3 1,886,01 0,533 2,556.74 9,163.19 285.62 262.57 110.63 2002
2,090,06 1,547 1,656.90 6,021.95 217.77 45.33 91.77 2007
2,315,33 1,295 947.56 3,380.83 124.70 19.09 67.68 2017
2025 2,786,455,965 725.46 2, 312.19 77.79 20.82 74.45



### A safety margin was applied to the emissions totals for the 2017 and 2025 analysis years to establish Motor Vehicle Emission Budgets (MVEBs) for trans portation conformity. The safety margin was determined through consultation with MDE, Maryland Department of Transportation (MDOT) and



### 1

### Hagerstown/ Eastern Panhandle Me tropolitan Planning Organization ( HEPMPO)

. Exhibit 3 summarizes the MVEBs for Washington County.

Exhibit 3: Transportation Conformity Emission Budgets for Washington County

Emissions (Short Tons/Year) NOx PM 2.5

2017 4,057.00 149.63

2025 2,774.63 93.35



## Analysis Methodology:
Guidance documents from EPA were used to develop the highway emissions inventory. They include:

 Policy Guidance on the Use of MOVES2010 and Subsequent Minor Revisions for SIP Development, Transportation Conformity, and Other Purposes , US EPA Office of Air and Radiation, EPA-420-B-12-010, April 2012.

 Using MOVES to prepare Emission Inventories in State Implementation Plans and Transportation Conformity: Technical Guidance for MOVES2010, 2010a and 2010b. US EPA Office of Air and Radiation, and Office of Transportation and Air Quality, EPA-420-B-12-028, April 2012.

 Motor Vehicle Emission Simulator, User Guide for MOVES2010a, EPA-420-B-10-036, August 2010.

The methodologies used to produce the emission data conform to the recommendations provided in EPA’s Technical Guidance. A mix of local data and national default (internal to MOVES2010a) data has been used for this submission. As illustrated in Exhibit 4, local data has been used for the primary data items that have a significant impact on emissions. Local data inputs to the analysis process reflect the latest av ailable planning assumptions using data obtained from MDE, Motor Vehicle Administration (MVA), Maryland State Highway Administration (SHA), HEPMPO and other local/national sources.



### 2

### Exhibit 4: Local Data Inputs Used for Emissions Inventory

The analysis methodology is consistent with past statewide inventory efforts including the 2008 National Emissions Inventory (NEI) submission. This includ es the use of statewide traffic roadway data and custom post-processing software (PPSUITE) to calculate hourly speeds and prepare key traffic input files to the MOVES2010a emission model. PPSUITE consists of a set of programs that perform the following functions:

 Analyzes highway operating conditions.

 Calculates highway speeds.

 Compiles VMT and vehicle type mix data.

 Prepares MOVES runs and processes MOVES outputs.

PPSUITE is a widely used and accepted tool for estima ting speeds and processing emissions rates. It has been used for past State Implementation Plan (SIP ) highway inventories in MD, Pennsylvania, and New Jersey. The software is based upon accepted transpor tation engineering methodologies. For example, PPSUITE utilizes speed and delay estimation procedur es based on planning methods provided in the Highway Capacity Manual, a report prepared by th e Transportation Research Board (TRB) summarizing current knowledge and analysis techniques for capacity and level-of-service analyses of the transportation system.

The PPSUITE process is integral to producing key input files to the MOVES emission model. Exhibit 5 summarizes the key functions of PPSUITE and the traffic-related input files prepared for MOVES.



### 3

### Exhibit 5: Emission Calculation Process



### 4

# DESCRIPTION OF INPUT DATA

A large number of inputs to MOVES are needed to fully account for the numerous vehicle and environmental parameters that affect emissions. These include traffic flow characteristics, vehicle descriptions, fuel parameters, Inspection/Maintenanc e Program parameters, and environmental variables as shown in Exhibit 6.

Exhibit 6: Examples of Key MOVES Input Data

Traffic Vehicle Fuel Inspection Environmental Data Descriptions Parameters Maintenance Variables

VMT Vehicle Type Mix RVP Start Year Frequency Hourly Temperatures

Vehicle Population Vehicle Age Distribution Sulfur Levels Test Standards Source Types Humidity

VMT Fractions Average Speeds Ethanol Volume Stringency Waiver Rate Compliance

Road Type Distribution Hourly Distributions Refueling Controls

Ramp Fractions

Emission Rates



### MOVES includes a default national database of meteorology, vehicle fleet, vehicle activity, fuel, and emission control program data for every county; but EPA cannot certify that the default data is the most current or best available information for any specific area. As a result, local data is recommended for use in SIP’s analyses.

A mix of local and default data is used for this invent ory. Local data sources are used for all inputs that have a significant impact on calculated emission rate s. These data items are discussed in the following sections.



### 5

## Roadway Data: The roadway data input to emissions calculations fo r this inventory is based on information from the 

### “universal” highway database maintained by the Maryland SHA. SHA obtains this information from periodic visual and electronic traffic counts. The SHA’ s data is dynamic, since it is continually reviewed and updated from new traffic counts. Information on roadways included in the National Highway System is reviewed at least annually, while information on ot her roadways is reviewed at least biennially.

On a triennial basis, a current “snapshot” of the SH A’s database is taken and downloaded to provide an up-to-date record of the state’s highway system for estimating emissions. This emissions inventory is based on 2011 data which is the most current “snapshot ” of the SHA’s data. The following information is extracted from the database for emission calculations:

 lanes

 distances

 volumes representing Average Annual Daily Traffic (AADT)

 truck percentages

 urban/rural classifications

 functional class codes

The volumes and distances are used in calculating hi ghway VMT totals for each county. As discussed in the next section, adjustments are needed to convert the volumes to reflect annual conditions. In addition, the traffic volumes must be forecast to support future year emission inventories. The lane values, area type, and functional class are important inputs for determining the congestion and speeds for individual highway segments. Truck percentages are used in th e speed determination process and are used to split volumes to individual vehicle types used by the MOVES software.

MD classifies its road segments by function, as well as wh ether it is located in an urban or rural area, as indicated below in Exhibit 7. The urban/rural (UR) and functional classes (FC) are important indicators of the type and function of each roadway segment. These values are also used to determine the MOVES Road Type classification that has an important imp act on the emission factors for each roadway segment. Equivalencies between the SHA and MOVES indices are discussed in later sections.



### Exhibit 7: MDOT Urban/Rural and Functional Class Codes

Urban/Rural Code 1=Rural 2=Small Urban 3=Urban

Functional Class Rural Functional Classes Used Urban Functional Classes Used For Rural Areas For Urban Areas

------------------------------------- ------------------------------------------ 1=Rural Freeway 11=Urban Freeway 2=Rural Other Principal Arterial 12=Urban Expressway 6=Rural Minor Arterial 14=Urban Principal Arterial 7=Rural Major Collector 16=Urban Minor Arterial 8=Rural Minor Collector 17=Urban Collector 9=Rural Local 19=Urban Local



### 6

### The PPSUITE processing software allows for many additional variables other than those available in the SHA’s database. Using these variables improves the calculation of congested sp eeds. Such variables include information regarding free-flow speeds and capacities and other physical roadway features (e.g. traffic signals) that can affect a roadway’s calculated congested speed. This data can be determined from lookup tables based on a roadway segment’s urban/rural code and functional class. Much of the lookup table data was developed from information contained in the Highway Capacity Manual.


## Traffic Volumes Growth Rates: Traffic volume projections are needed to support the forecast emission inventories. Growth factors are applied to the base year traffic volumes in the SH A’s database. These growth factors are determined through and assessment of:

 Historic VMT growth from the Highway Performance Monitoring System (HPMS)

 Travel model forecasts obtained from the HEPMPO regional travel demand model

 Assessment of other factors affecting regiona l growth not represented in the above sources

The development and selection of growth rates has included consultation between MDOT, HEPMPO and MDE. Forecasted traffic volumes are used within the post-processing methodologies to estimate future year congested speeds.



## Other Supporting Traffic Data: Other traffic data is used to adjust and disaggregat e traffic volumes. Key sources used in these processes include the following:

HPMS VMT : According to EPA’s guidance, baseline inve ntory VMT computed from the SHA’s highway segment volumes must be adjusted to be consistent with HPMS VMT totals. Although it has some limitations, the HPMS system is currently in use in all 50 states and is being improved under Federal Highway Administration (FHWA)’s direction. Adjust ment factors are calculated which adjust the base year 2011 SHA’s downloaded VMT to be consistent w ith the reported 2011 HPMS totals for that year. These factors are applied to all counties, urban/rura l code, and facility group combinations within the region. These adjustments are important for acc ounting for missing local roadway VMT that is not contained within or represented by the state-owned roadway system.

Seasonal Factors : The SHA contains AADT volumes that are an average of all days in the year, including weekends and holidays. PM and CO analyses re quire volumes representing monthly average conditions (needed for producing annual totals). Therefore, the SHA’s volumes must be seasonally adjusted. The seasonal factors were developed based on the 2011 report, ATR Station Reports in the Traffic Trends System Report Module from the SHA’s website. These factors are applied to the existing SHA’s AADT volumes to produce the monthly volumes. The same f actors are also used to develop the MOVES daily and monthly VMT fraction files.

Hourly Patterns : Speeds and emissions vary considerably depending on the time of day. Therefore, it is important to estimate the pattern by which roadway volume varies by hour of the day. Pattern data is in the form of a percentage of the daily volumes fo r each hour. Distributions are provided for all the counties within the region and by each facility type grouping. This data w as developed from 2011 24- hour count data obtained from the SHA’s website. The same factors are also used to develop the MOVES hourly fraction file.



### 7

## Vehicle Class Data: Emission rates within MOVES vary significantly by the type of vehicle. The MOVES model produces emissions and rates by thirteen MOVES vehicle source types. However, VMT is input to MOVES by six HPMS vehicle groups. Exhibit 8 summarizes the distinction between each classification scheme.
Exhibit 8: MOVES Source Types and HPMS Vehicle Groups

SOURCE TYPES HPMS Class Groups 11 Motorcycle 10 Motorcycle 21 Passenger Car 20 Passenger Car 31 Passenger Truck 30 Passenger/Light Truck 32 Light Commercial Truck 40 Buses 41 Intercity Bus 50 Single Unit Trucks 42 Transit Bus 60 Combination Trucks 43 School bus 51 Refuse Truck 52 Single Unit Short-haul Truck 53 Single Unit Long-haul Truck 54 Motor Home 61 Combination Short-haul Truck 62 Combination Long-haul Truck



### For this regional inventory, vehicle type pattern data was developed for each county and functional class combination based on SHA’s classification counts a nd internal MOBILE6.2 and MOVES defaults. As the first step, SHA’s count data w as used to develop percentage splits to the following four vehicle
groups:

 Autos

 Heavy trucks

 Motorcycles

 Buses

Following procedures used for previous SIP’s effort s, the vehicle groups were expanded to the 28 MOBILE6.2 weight-based vehicle types. Using procedures provided in EPA’s Technical Guidance, the MOBILE6.2 vehicle classes were mapped to the MOVES source types and HPMS class groups.

The vehicle type percentages are also provided to th e capacity analysis section of PPSUITE to adjust the speeds in response to trucks. That is, a given number of larger trucks take up more roadway space than a given number of cars, and this is accounted for in the speed estimation process by adjusting capacity using information from the Highway Capacity Manual.



## Vehicle Ages: Vehicle age distributions are input to MOVES for each county by the thirteen source types. The distributions reflect the percentage of vehicles in the fleet up to 31 years old. The vehicle age distributions were prepared by MDE based on in formation obtained from MVA registration data.

The age distributions are based on 2011 MVA registra tion data that included cleaning of duplicate, expired, and non-eligible vehicles (from the emission sta ndpoint such as trailers, farm tractors). The data



### 8

### was transformed into two sets of MOBILE6 vehicle types; one conforming to MOBILE6-28 vehicle type and the other to MOBILE6-16 composite vehicle type system using a SAS-based computer program.

The MOVES model input age distributions were pro duced utilizing the available EPA’s MS-Excel-based vehicle registration converter tool. This tool assist ed in converting the MOBILE6.2-based data into the MOVES source type categories.



## Vehicle Population Data: The information on the vehicle fleet including the number and age of vehicles impacts forecasted start and evaporative emissions within MOVES. MOVES model requires the population of vehicles by the thirteen source type categories. This data was prepared and provided by MDE for the analysis year 2011 utilizing another SAS-based computer program similar to the one discussed in the previous vehicle age section.MD’s county vehicle registration data was used to estimate vehicle population for light-duty and heavyduty vehicles for all counties in the region.

For the analysis years 2017 and 2025, the vehicle population was forecasted based on projected household and population growth obtained from state and Me tropolitan Planning Organization (MPO)’s sources. The growth rate methodology included:

 Choosing the highest growth rate betwee n population, households and VMT growth.

 Default VMT/Population ratio for Trucks i.e. Truck population growth based on Truck VMT.



## E

nvironmental and Fuel Data:
Information on environmental, fuel, vehicle technol ogy and other control strategy assumptions were determined based on a review of MOVES2010a default information by MDE.



### Fuel Data: MDE obtains monthly fuel data reports regul arly from the MD Fuel Laboratory which is under the jurisdiction of MD Fuel Tax Division of the Office of the Comptroller of MD. These fuel reports are generated by testing samples collected in the field (gas stations) for the purpose of fuel regulation enforcement. It covers a ll counties in MD. Since the data en try of these samples is a huge task, compilation of fuel data to yield input parameters for MOBILE or MOVES modeling is confined only to the years for which emission inventories are due for submission to EPA on a triennial basis beginning with the baseline year of 1990. 2011 happens to be a year of such periodic emission inventories. As such 2011 fuel data was compiled and fuel data paramete rs were developed separat ely for the 14 MD counties with EPA’s mandates to dispense only reformulated gasoline requirements and the 10 remaining counties dispensing conventional gasoline.

Two sets of fuel data inputs (Fue l Formulation and Fuel Supply tabl es) required by MOVES model were developed in-house for every county in MD. The fuel parameters changed from the MOVES defaults are as follows:

fuelFormulationID Unique ID used for easy recognition fuelSubtypeID Selected per guidan ce based on ethanol content of gasoline sulfurLevel Computed from the local fuel data ETOHVolume Computed from the local fuel data aromaticContent Computed from the local fuel data olefinContent Computed from the local fuel data benzineContent Computed from the local fuel data E200 Computed from the local fuel data



### 9

### E300 Computed from the local fuel data RVP Computed from the local fuel data



### Meteorological Data: Evaporative emissions are influenced si gnificantly by the temperatures of the surrounding air. PM analysis temperature and humi dity values were determined by MDE using the procedures documented in EPA’s Technical Guidance. On a triennial basis, meteorology data including hourly temperature and relative humidity is compiled to be used for periodic emission inventories and hence this data was obtained for the year 2011. The month by month raw hourly-data sets were obtained from the National Climate Data Center of Nationa l Oceanic and Atmospheric Administration (NOAA) based on weather data collected at the Hagerstown Regional Airport situated in the Washington County. Hourly average temperature and humidity computa tions were developed from the 24 hourly values for every hour in a given month for Washington County.



## Other Vehicle Technology and Control Strategy Data: The MOVES2010a default I/M data was reviewed and up dated by MDE for all the counties in the region. The current I/M Program known as Vehicle Emission Inspection Program (VEIP)’s assumption for these analysis runs is described below.



### MD Vehicle Emission Inspection Program : This Program tests model year 1977 and newer gasoline powered vehicles weighing up to 26,000 lb. The test is done biennially, and on change of ownership. There is a two year grace period for new vehicles. Light duty vehicles model year 1996 and newer, and model year 2008 and newer vehicles wei ghing up to 14,000 lb get the OBD test. All other vehicles get an idle test with a gas cap pressure test and a visual check for the presence of a catalytic converter. The compliance factors reflect the observed fail and waiver rates observed in this Program, combined with an assumed 96% compliance rate for vehicles showing up for testing. Heavy duty vehicles have an additional factor, reflecting the fraction of vehicles in the weight range covered by the Program. This was derived from documentation comparing the MOVES and MOBILE vehicle classes. The significantly higher compliance rate for the gas cap check reflects th e much higher retest pass rate for this check.



### Federal Programs : Current federal vehicle emissions control and fuel programs are incorporated into the MOVES2010a software. These include the National Program standards covering model year vehicles through 2016. Modifications of default emission rat es are required to reflect the early implementation of the National Low Emission Vehicle (NLEV) Program in MD. To reflect these impacts, EPA has released instructions and input files that can be used to model these impacts. This inventory utilized the August 2010 version of the files ( http://www.epa.gov/oms/models/moves/tools.htm ).

State Vehicle Technology Programs: 

### MD Clean Car Program: Under the MD Clean Cars Act of 2007, MD adopted the California Low Emission Vehicle (CAL LEV II) Program. This Progr am began implementation in 2011 and requires all 2011 model year and newer vehicles (GVWR up to 14,0 00 lbs.) registered in MD to meet California emission standards for both criteria and greenhouse gas po llutants. This Program also contains a zero emission vehicles component that requires the manufact urers to produce a certain percentage of zero emission vehicles (electric, fuel cell, etc.) for purch ase in the state. California has just adopted new amendments to the Low-Emission Vehicle (LEV) regulation entitled LEV III (third generation low emission vehicle standards). These amendments create more stringent emission standards for new motor vehicles. These new standards will be phased-in over the 2015-2025 model years.

The impacts of this Program were modeled for a ll analysis years using EPA’s guidance document, Instructions for Using LEV and NLEV I nputs for MOVES, EPA-420-B-10-003 January, 2010 . EPA provided input files to reflect the CAL LEVII Progr am with the standard phase-in schedules for new



### 10

### emission standards. Modifications to those schedules were done as per EPA’s instructions, to reflect a later start for the State of MD beginning with vehicle model year 2011.



# ANALYSIS METHOD OLOGY

The previous sections have summarized the input data used for computing speeds and emission rates for this highway emissions inventory. This section e xplains how PPSUITE and MOV ES uses that input data to produce emission estimates. Exhibit 9 provides a more detailed overview of the PPSUITE analysis procedure using the available traffic data inform ation described in the previous section.



## VMT Preparation: Producing an emissions inventory w ith PPSUITE requires a process of di saggregation and aggregation. Data is available and used on a very small scale -- in dividual 1⁄2 mile roadway segments for each of the 24 hours of the day. This data needs to be processed individually to determine the distribution of vehicle hours traveled (VHT) by speed and then aggregated by vehicle class to determine the input VMT to the MOVES emission model. Key steps in the preparation of VMT include:

 Apply Growth Factors - The SHA’s database contains the base year volumes. However, to conduct a future year analysis, these volumes must be factored to the year being analyzed. Growth factors have been prepared for each c ounty and functional class grouping. These growth factors are applied to the base year SHA’s volumes to obtain future year estimates that can be utilized by PPSUITE.

 Apply Seasonal Adjustments - PPSUITE takes the input daily volumes from SHA (which represents AADT traffic) and adjusts the volumes to an average day in a month. This adjustment utilizes factors developed for each functional clas s and urban/rural code. VMT can then be calculated for each link using the adjusted average day volumes.

 Disaggregate to Hours - After adjusting the link volume, the volume is split to each hour of the day. This allows for more accurate speed calculations (effects of congested hours) and allows PPSUITE to prepare the hourly VMT and speeds for input to the MOVES model.

 Peak Spreading - After dividing the daily volumes to each hour of the day, PPSUITE identifies hours that are unreasonably congested. For those hours, PPSUITE then spreads a portion of the volume to other hours within the same peak period, thereby approximating the “peak spreading” that normally occurs in such over-capacity conditions.

 Disaggregation to Vehicle Types - EPA requires VMT estimates to be prepared by source type, reflecting specific local characteristics. As a result, for MD’s emission inventory runs, the hourly volumes are disaggregated to the six HPMS MOVES vehicle grouping based on count data assembled by SHA in combination with MOVES defa ults as described in the previous section.

 Apply HPMS VMT Adjustments - Volumes must also be adjusted to account for differences with the HPMS VMT totals, as described previously. VMT adjustment factors are provided as input to PPSUITE, and are applied to each of the ro adway segment volumes. These factors were developed from the latest HPMS download (c onducted triennially); however, they are also applied to any future year runs. The VMT adde d or subtracted to the SHA’s database assumes he speeds calculated using the original volumes for each roadway segment for each hour of the day.



### 11

### E xhibit 9: PPSUITE Speed/Emission Estimation Procedure

Data From PPSUITE Input Files PPSUITE Analysis Proc ess Data from Roadway Source (SHA)

The Fo llowing is Performed For Each SHA Roadway Segment

Percent Pattern Distributions Expand to 24 hourly volum es SHA Volumes Adjusted to Average Day in a Month

Apply VMT Adjustments Adjust Volumes for Peak Spreading (V/C thresholds for spreading)

Vehicle Type Patterns Disaggregate to Vehicle Type

Calculate Link & Signal Capacities Roadway Attributes (Lanes, FC code, UR code) Speed/Capacity Lookup Table Calculate Link Calculate Midblock Speed Approach Delay

Apply HPMS VMT Adjustments HPMS VMT Totals Including Local Roadways

Prepa re MOVES CDM Files

V HT by Annual RoadTypeSourceTypeHourly Ramp Speed Bin VMT Fractio ns Population Fractions Fractions Per VMT
<Not Used>

Off-line File Preparation

Vehicle Age Distribution Run MOVES Importer to convert county input data Hourly into MYSQL data format Temps/Humidity

I/M / Fuel Parameters

Source Type Run MOVES Population



### 12

## Speed Estimation: Emissions for many pollutants (including PM and precursors) vary significantly with travel speed. For PM, higher emission rates are associated with lower speeds and lower rates are associated with higher speeds, as illustrated in Exhibit 10.

Exhibit 10: Emission Factor vs. Speed Variances (PM2.5)

Source: Figure 3 from Implications of the MOVES2010 Model on Mobile Source Emission Estimates, Air & Waste Management Association, July 2010.


### EPA recognizes that the estimation of vehicle speeds is a difficult and complex process. Because emissions are so sensitive to speeds, EPA recommends that special attention be given to developing reasonable and consistent speed estimates; it also r ecommends that VMT be disaggregated into subsets that have roughly equal speed, with separate emissi on factors for each subset. At a minimum, speeds should be estimated separately by road type.

The computational framework used for this analysis meets and exceeds that recommendation. Speeds are individually calculated for each roadway segment per hour and include the estimated delays encountered at signals. Rather than accumulating the roadway segme nts into a particular road type and calculating an average speed, each individual link hourly speed is represented in the MOVES VHT by speed bin file. This MOVES input file allows the specification of a di stribution of hourly speeds. For example, if 5% of a county’s arterial VHT operates at 5 mph during th e AM peak hour and the remaining 95% operates at 65mph, this can be represented in the MOVES speed i nput file. For the highway emissions inventory, distributions of speeds are input to MOVES by road type and source type by each hour of the day.

To calculate speeds, PPSUITE first obtains initial capacities (how much volume the roadway can serve before heavy congestion) and free-flow speeds (speeds assuming no congestion) from the speed/capacity lookup data. As described in prev ious sections, this data contains default roadway information indexed by the urban/rural code and functional class. For areas with known characteristics, values can be directly coded to the SHA’s database and the speed/capacity da ta can be overridden. However, for most areas where known information is not available, the sp eed/capacity lookups provide valuable default information regarding speeds, capacities, signal characte ristics, and other capacity adjustment information



### 13

### used for calculating congested delays and speeds. The result of this process is an estimated average travel time for each hour of the day for each highway segment. The average time multiplied by the volume produces VHT.


## Developing the MOVES Traffic Input Files:
The PPSUITE software is responsible for produc ing the following MOVES input files during any analysis run:

 VMT by HPMS vehicle class

 VHT by speed bin

 Road type distributions

 Ramp fractions

These files are text formatted files with a *.csv exte nsion. The files are provided as inputs within the MOVES county data importer.

VMT Input File: VMT is the primary traffic input that aff ects emission results. The roadway segment distances and traffic volumes are used to prep are estimates of VMT. PPSUITE performs these calculations and outputs the MOVES annual VMT in put file to the County Data Manager (CDM).

VHT by Speed Bin File : As described in the previous secti on, the PPSUITE software prepares the MOVES VHT by speed bin file which summarizes the di stribution of speeds across all links into each of the 16 MOVES speed bins for each hour of the day by road type. This robust process ensures that MOVES emission rates are used to the fullest ex tent and is consistent with the methods and recommendations provided in EPA’s Technical Guidance.

Road Type Distributions : In MOVES, typical drive cycles and associated operating conditions vary by the type of roadway. MOVES defines five different road types as follows:

1 Off-Network 2 Rural Restricted Access 3 Rural Unrestricted Access 4 Urban Restricted Access 5 Urban Unrestricted Access

For this inventory, the MOVES road type distributi on file is automatically generated by PPSUITE using defined equivalencies. The off-network road type includes emissions from vehicle starts, extended idle activity, and evaporative emissions. Off-network ac tivity in MOVES is primarily determined by the Source Type Population input. The remaining distribution among road types is determined by equating the functional class with each MOVES road type as follows:

 MOVES Road Type (2) = SHA Functional Class (1)

 MOVES Road Type (3) = SHA Functional Class (2,6,7,8,9)

 MOVES Road Type (4) = SHA Functional Class (11,12)

 MOVES Road Type (5) = SHA Functional Class (14,16,17,19)

Ramp Fractions : Since ramps are not directly represented w ithin the SHA’s database information, it is assumed that 8% of the Freeway VHT is ramp VHT. This is consistent w ith national default values within MOVES and recommendations provi ded in EPA’s Technical Guidance.



### 14

## MOVES Runs: After computing speeds and aggregating VMT and VHT , PPSUITE prepares traffic-related inputs needed to run EPA’s MOVES2010a software. Additional required MOVES inputs are prepared external to the processing software and include temperatures, I/M Program parameters, fuel characteristics, vehicle fleet age distributions and source type population.

The MOVES county importer is run in batch mode. Th is program converts all data files into the MYSQL formats used by the MOVES model. At that point a MOVES run specification file (*.mrs) is created which specifies options and key data locations for the run. MOVES is then executed in batch mode.

MOVES can be executed using either the inventory or rate-based approaches. For this highway emissions inventory, MOVES is applied using the inventory-based approach. Under this method, actual VMT and population are provided as inputs to the model; MOVES is responsible for producing the total emissions for the region. Under the rate-based appr oach, MOVES would produce emission factors, after which PPSUITE would apply the emission factors to th e link data and calculate total regional emissions.

Appendices B and C provide a summary of the 13 MOVES CDM input files as well as the MOVES run specification file.



### 15

# RESOURCES

MOVES Model

Modeling Page within EPA’s Office of Mobile Sources Website (http://www.epa.gov/omswww/models.htm) contains a downloadable model, MOVES users guide and other information.

Policy Guidance on the Use of MOVES2010 and Subs equent Minor Revisions for SIP Development, Transportation Conformity, and Other Purposes , US EPA Office of Air and Radiation, EPA-420-B-12- 010, April 2012.

Using MOVES to prepare Emission Inventories in State Implementation Plans and Transportation Conformity: Technical Guidance for MOVES2010, 2010a and 2010b. US EPA Office of Air and Radiation, and Office of Transportation and Air Quality, EPA-420-B-12-028, April 2012.

Motor Vehicle Emission Simulator, User Guide for MOVES2010a, EPA-420-B-10-036, August 2010.



### Traffic Engineering

Highway Capacity Manual, Transportation Research Board presents current knowledge and techniques for analyzing the transportation system.

Traffic Trends System Report Module, 2011 Data, State Highway Administration



### 16

### 17 

# Highway Vehicle Inventory Glossary

AADT: Average Annual Daily Traffic, average of ALL days.

County Data Manager (CDM): User interface developed to simplify importing specific local data for a single county or a user-defined custom domain wit hout requiring direct interaction with the underlying MySQL database.

Emission rate or factor: Expresses the amount of pollution emitted per unit of activity. For highway vehicles, pollutant is usually emitted in grams per mile driven.

FC: Functional code, applied in data management to road segments to identify their type (freeway, local, etc.).

Growth factor: Factor used to convert volumes to future years.

HPMS: Highway Performance Monitoring System, MDOT’s official source of highway information and a subset of SHA.

I/M: Vehicle Emission Inspection/Maintenance Program ensures that vehicle emission controls are in good working order throughout the life of the vehicle. This Program requires vehicles to be tested for emissions. Most vehicles that do not pass must be repaired.

MOVES: The latest model EPA has developed with which MD uses to estimate emissions from highway vehicles.

Pattern data: Extrapolations of traffic patterns (such as how traffic volume on road segment types varies by time of day, or what kinds of vehicles tend to use a road segment type) from segments with observed data to similar segments.

PPSUITE: Post-Processor for Air Quality, a set of progr ams that estimate speeds and processes MOBILE emission rates.

Road Type: Functional code, applied in data management to road segments to identify their type (rural/urban highways, rura l/urban arterials, etc.)

Source Type : One of thirteen vehicle types used in MOVES modeling.

UR: Urban/rural code, applied in data management to identify whether a road segment is urban, small urban or rural.

VHT: Vehicle hours traveled

.

VMT: Vehicle miles traveled. In modeling terms, it is the simulated traffic volumes multiply by link length.

# APPENDIX A Washington County, MD Area Emission Summary Tables

Appendix A1 2002 Annual Emissions

Emission Summary Emission Summary by Road Type Emission Summary by Source Type Emission Summary by Process


### Appendix A2 2007 Annual Emissions

Emission Summary Emission Summary by Road Type Emission Summary by Source Type Emission Summary by Process


### Appendix A3 2017 Annual Emissions

Emission Summary Emission Summary by Road Type Emission Summary by Source Type Emission Summary by Process


### Appendix A4 2025 Annual Emissions

Emission Summary Emission Summary by Road Type Emission Summary by Source Type Emission Summary by Process

### Appendix A1 2002 Washington County Emission Summary Annual (Tons/Year)

County VMT VOC NOX PM2.5 SO2 NH3

Washington 1,886,010,533 2, 556.74 9,163.19 285.62 262.57 110.63

### Appendix A1 2002 Washington County Emission Summary by Road Type Annual (Tons/Year)

Area Road Type VMT VOC NOX PM2.5 SO2 NH3 Washington Off

‐ Network 0 1,239.09 806.57 22.03 8.10 0.01 Rural Restricted Access 688,603,444 386.48 3,849.25 120.17 109.53 41.62 Rural Unrestricted Access 510,340,319 360.19 1,568.07 46.57 51.61 29.19 Urban Restricted Access 249,760,757 142.03 1,525.80 48.76 43.09 14.78 Urban Unrestricted Access 437,306,012 428.95 1,413.49 48.09 50.23 25.04 Total 1,886,010,533 2,556.74 9,163.19 285.62 262.57 110.63Appendix A12002 Washington County Emission Summary by Source TypeAnnual (Tons/Year)VMTVOCNOXPM2.5SO2NH3CountySourcetypeMilesPct.EmissionsPctEmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonMotorcycle9,034,8930.5%35.311.4%18.140.2%0.490.2%0.590.2%0.220.2%PassengerCar814,506,06543.2%1,120.6843.8%1,559.5117.0%37.3213.1%52.5520.0%50.6145.7%PassengerTruck648,996,33834.4%872.6834.1%1,929.0221.1%34.7212.2%58.0522.1%41.4937.5%LightCommercialTruck215,293,37211.4%291.3911.4%712.837.8%19.766.9%21.928.3%12.6711.5%IntercityBus4,119,6870.2%3.020.1%118.221.3%5.622.0%2.751.0%0.100.1%TransitBus1,537,7500.1%1.090.0%34.580.4%1.420.5%0.770.3%0.030.0%SchoolBus4,774,8640.3%8.760.3%66.620.7%3.161.1%1.610.6%0.110.1%RefuseTruck1,541,5410.1%1.130.0%36.710.4%1.370.5%0.980.4%0.040.0%SingleUnitShort‐haulTruck42,654,5612.3%63.932.5%410.714.5%16.775.9%12.404.7%1.261.1%SingleUnitLong‐haulTruck3,161,4210.2%4.570.2%28.550.3%1.240.4%0.860.3%0.090.1%MotorHome2,171,9530.1%6.280.2%21.550.2%0.660.2%0.490.2%0.080.1%CombinationShort‐haulTruck73,636,7353.9%52.752.1%2,077.2522.7%78.9327.6%55.8521.3%2.051.9%CombinationLong‐haulTruck64,581,3543.4%95.153.7%2,149.4923.5%84.1829.5%53.7520.5%1.851.7%Total1,886,010,533100.0%2,556.74100.0%9,163.19100.0%285.62100.0%262.57100.0%110.63100.0%Appendix A12002 Washington County Emission Summary by ProcessAnnual (Tons/Year)VOCNOXPM2.5SO2NH3CountyProcessEmissionsPctEmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonRunningExhaust1,037.8940.6%8,354.1791.2%219.9777.0%231.6188.2%110.62100.0%StartExhaust955.8137.4%626.876.8%17.816.2%5.432.1%0.000.0%Brakewear0.000.0%0.000.0%6.902.4%0.000.0%0.000.0%Tirewear0.000.0%0.000.0%3.101.1%0.000.0%0.000.0%EvapPermeation53.072.1%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelVaporVenting380.5414.9%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelLeaks53.332.1%0.000.0%0.000.0%0.000.0%0.000.0%CrankcaseRunningExhaust14.380.6%2.450.0%33.6311.8%22.858.7%0.000.0%CrankcaseStartExhaust12.660.5%0.020.0%0.330.1%0.110.0%0.000.0%CrankcaseExtendedIdleExhaust0.960.0%0.090.0%0.650.2%0.430.2%0.000.0%RefuelingDisplacementVaporLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%RefuelingSpillageLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%ExtendedIdleExhaust48.101.9%179.592.0%3.241.1%2.130.8%0.010.0%Total2,556.74100.0%9,163.19100.0%285.62100.0%262.57100.0%110.63100.0%

### Appendix A2 2007 Washington County Emission Summary Annual (Tons/Year)

County VMT VOC NOX PM2.5 SO2 NH3

Washington 2,090,061,547 1, 656.90 6,021.95 217.77 45.33 91.77

### Appendix A2 2007 Washington County Emission Summary by Road Type Annual (Tons/Year)

Area Road Type VMT VOC NOX PM2.5 SO2 NH3 Washington Off

‐ Network 0 1,019.54 754.33 18.02 1.92 0.00 Rural Restricted Access 569,679,236 151.92 1,784.38 64.75 11.36 25.92 Rural Unrestricted Access 520,393,980 150.15 865.95 32.27 10.49 22.09 Urban Restricted Access 502,585,658 138.39 1,729.68 63.77 9.98 22.49 Urban Unrestricted Access 497,402,672 196.91 887.61 38.96 11.58 21.28 Total 2,090,061,547 1,656.90 6,021.95 217.77 45.33 91.77Appendix A22007 Washington County Emission Summary by Source TypeAnnual (Tons/Year)VMTVOCNOXPM2.5SO2NH3CountySourcetypeMilesPct.EmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonMotorcycle9,824,7260.5%35.942.2%11.460.2%0.530.2%0.200.4%0.410.4%PassengerCar894,850,78942.8%723.6643.7%907.4815.1%31.4514.4%16.8937.3%41.6345.4%PassengerTruck717,909,01334.3%504.9430.5%1,143.3819.0%25.8711.9%18.4240.6%32.9035.9%LightCommercialTruck238,794,66411.4%179.6710.8%491.788.2%15.197.0%5.5212.2%10.4011.3%IntercityBus1,474,3940.1%1.050.1%30.810.5%1.450.7%0.020.0%0.040.0%TransitBus498,0970.0%0.340.0%8.010.1%0.340.2%0.010.0%0.010.0%SchoolBus10,104,6440.5%9.150.6%103.241.7%5.092.3%0.130.3%0.220.2%RefuseTruck1,511,0860.1%0.860.1%20.760.3%0.900.4%0.030.1%0.040.0%SingleUnitShort‐haulTruck48,230,8632.3%47.092.8%316.095.2%12.986.0%1.022.3%1.391.5%SingleUnitLong‐haulTruck4,989,0420.2%4.750.3%31.500.5%1.360.6%0.100.2%0.140.2%MotorHome2,411,4070.1%4.470.3%17.620.3%0.510.2%0.090.2%0.080.1%CombinationShort‐haulTruck76,722,3303.7%43.592.6%1,233.2020.5%52.3724.1%1.332.9%2.142.3%CombinationLong‐haulTruck82,740,4914.0%101.416.1%1,706.6428.3%69.7232.0%1.573.5%2.372.6%Total2,090,061,547100.0%1,656.90100.0%6,021.95100.0%217.77100.0%45.33100.0%91.77100.0%Appendix A22007 Washington County Emission Summary by ProcessAnnual (Tons/Year)VOCNOXPM2.5SO2NH3CountyProcessEmissionsPctEmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonRunningExhaust487.3129.4%5,265.9387.4%163.6275.1%42.5193.8%91.77100.0%StartExhaust748.0545.1%516.388.6%13.976.4%1.834.0%0.000.0%Brakewear0.000.0%0.000.0%7.633.5%0.000.0%0.000.0%Tirewear0.000.0%0.000.0%3.441.6%0.000.0%0.000.0%EvapPermeation75.144.5%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelVaporVenting218.1513.2%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelLeaks58.133.5%0.000.0%0.000.0%0.000.0%0.000.0%CrankcaseRunningExhaust7.200.4%1.680.0%25.0611.5%0.902.0%0.000.0%CrankcaseStartExhaust9.920.6%0.020.0%0.270.1%0.020.0%0.000.0%CrankcaseExtendedIdleExhaust1.040.1%0.120.0%0.630.3%0.010.0%0.000.0%RefuelingDisplacementVaporLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%RefuelingSpillageLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%ExtendedIdleExhaust51.963.1%237.813.9%3.151.4%0.060.1%0.000.0%Total1,656.90100.0%6,021.95100.0%217.77100.0%45.33100.0%91.77100.0%

### Appendix A3 2017 Washington County Emission Summary Annual (Tons/Year)

County VMT VOC NOX PM2.5 SO2 NH3

Washington 2,315,331,295 947.56 3,380.83 124.70 19.09 67.68

### 2017 Washington County Emission Summary by Road Type Annual (Tons/Year)

County Road Type VMT VOC NOX PM2.5 SO2 NH3 Washington Off

‐ Network 0 621.08 680.87 10.67 0.69 0.00 Rural Restricted Access 604,230,975 74.48 903.21 33.49 4.73 18.54
Rural Unrestricted Access 581,689,679 73.78 471.10 21.40 4.28 15.93
Urban Restricted Access 539,324,619 67.25 805.12 30.38 4.17 16.32
Urban Unrestricted Access 590,086,022 110.96 520.53 28.75 5.21 16.90
Total 2,315,331,295 947.56 3,380.83 124.70 19.09 67.68Appendix A32017 Washington County Emission Summary by Source TypeAnnual (Tons/Year)VMTVOCNOXPM2.5SO2NH3CountySourcetypeMilesPct.EMPctEMPct.EMPct.EMPct.EMPct.WashingtonMotorcycle9,929,5390.4%40.414.3%8.160.2%0.510.4%0.080.4%0.560.8%PassengerCar1,137,842,70049.1%415.4643.8%542.7016.1%24.2019.4%7.8441.1%33.3549.3%PassengerTruck591,735,18025.6%227.8924.1%427.8812.7%15.3412.3%5.4628.6%17.3125.6%LightCommercialTruck201,363,9708.7%82.808.7%202.116.0%6.575.3%1.759.2%5.958.8%IntercityBus1,513,1520.1%0.680.1%18.020.5%0.800.6%0.020.1%0.040.1%TransitBus3,438,7940.1%1.600.2%28.350.8%1.261.0%0.030.1%0.070.1%SchoolBus8,468,4660.4%1.530.2%23.680.7%0.940.8%0.050.3%0.180.3%RefuseTruck890,4340.0%0.200.0%4.320.1%0.180.1%0.010.0%0.020.0%SingleUnitShort‐haulTruck124,392,3305.4%71.387.5%428.5912.7%13.8711.1%1.186.2%3.525.2%SingleUnitLong‐haulTruck17,415,8420.8%10.201.1%61.461.8%2.181.7%0.160.8%0.500.7%MotorHome1,018,7730.0%1.380.1%5.310.2%0.120.1%0.020.1%0.030.0%CombinationShort‐haulTruck91,070,1853.9%18.311.9%494.6614.6%20.7116.6%0.995.2%2.543.8%CombinationLong‐haulTruck126,251,9305.5%75.718.0%1,135.5833.6%38.0230.5%1.517.9%3.615.3%Total2,315,331,295100.0%947.56100.0%3,380.83100.0%124.70100.0%19.09100.0%67.68100.0%Appendix A32017 Washington County Emission Summary by ProcessAnnual (Tons/Year)VOCNOXPM2.5SO2NH3CountyProcessEmissionsPctEmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonRunningExhaust241.1825.5%2,699.3079.8%88.6271.1%18.0994.7%67.68100.0%StartExhaust388.5841.0%326.739.7%8.476.8%0.623.2%0.000.0%Brakewear0.000.0%0.000.0%9.988.0%0.000.0%0.000.0%Tirewear0.000.0%0.000.0%4.073.3%0.000.0%0.000.0%EvapPermeation49.935.3%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelVaporVenting121.0912.8%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelLeaks89.769.5%0.000.0%0.000.0%0.000.0%0.000.0%CrankcaseRunningExhaust3.450.4%0.660.0%11.359.1%0.311.6%0.000.0%CrankcaseStartExhaust5.110.5%0.010.0%0.120.1%0.010.0%0.000.0%CrankcaseExtendedIdleExhaust0.490.1%0.060.0%0.290.2%0.000.0%0.000.0%RefuelingDisplacementVaporLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%RefuelingSpillageLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%ExtendedIdleExhaust47.945.1%354.0710.5%1.801.4%0.070.3%0.000.0%Total947.56100.0%3,380.83100.0%124.70100.0%19.09100.0%67.68100.0%

### Appendix A4 2025 Washington County Emission Summary Annual (Tons/Year)

County VMT VOC NOX PM2.5 SO2 NH3

Washington 2,786,455,965 725 2,312.19 77.79 20.82 74.45

### Appendix A4 2025 Washington County Emission Summary by Road Type Annual (Tons/Year)

Area Road Type VMT VOC NOX PM2.5 SO2 NH3 Washington Off

‐ Network 0 485.20 689.22 8.64 0.74 0.40 Rural Restricted Access 727,192,808 50.02 531.69 16.77 5.11 20.14 Rural Unrestricted Access 700,097,140 53.27 289.32 14.45 4.57 17.02 Urban Restricted Access 649,040,157 45.17 470.89 15.44 4.49 17.64 Urban Unrestricted Access 710,125,860 91.79 331.07 22.49 5.91 19.26 Total 2,786,455,965 725.46 2,312.19 77.79 20.82 74.45Appendix A42025 Washington County Emission Summary by Source TypeAnnual (Tons/Year)VMTVOCNOXPM2.5SO2NH3CountySourcetypeMilesPct.EMPctEMPct.EMPct.EMPct.EMPct.WashingtonMotorcycle12,147,3500.4%48.646.7%9.660.4%0.640.8%0.100.5%0.721.0%PassengerCar1,369,351,90049.1%334.9646.2%371.1416.1%23.4030.1%8.5941.3%35.6747.9%PassengerTruck712,136,40025.6%157.1521.7%291.3312.6%16.9621.8%5.6627.2%18.3524.6%LightCommercialTruck242,329,4908.7%57.988.0%148.606.4%5.827.5%1.848.9%6.498.7%IntercityBus1,858,8860.1%0.290.0%7.970.3%0.340.4%0.020.1%0.050.1%TransitBus3,942,8780.1%0.540.1%12.480.5%0.440.6%0.030.1%0.080.1%SchoolBus9,737,2580.3%0.970.1%14.410.6%0.530.7%0.060.3%0.210.3%RefuseTruck1,034,4420.0%0.100.0%2.200.1%0.070.1%0.010.0%0.030.0%SingleUnitShort‐haulTruck149,173,6005.4%51.347.1%325.6014.1%6.898.9%1.406.7%4.305.8%SingleUnitLong‐haulTruck21,746,8130.8%7.401.0%47.712.1%1.131.5%0.190.9%0.630.8%MotorHome1,184,4800.0%0.880.1%4.210.2%0.090.1%0.020.1%0.040.1%CombinationShort‐haulTruck105,285,7383.8%6.600.9%235.9010.2%7.319.4%1.105.3%2.964.0%CombinationLong‐haulTruck156,526,7305.6%58.618.1%840.9836.4%14.1818.2%1.808.6%4.926.6%Total2,786,455,965100.0%725.46100.0%2,312.19100.0%77.79100.0%20.82100.0%74.45100.0%Appendix A42025 Washington County Emission Summary by ProcessAnnual (Tons/Year)VOCNOXPM2.5SO2NH3CountyProcessEmissionsPctEmissionsPct.EmissionsPct.EmissionsPct.EmissionsPct.WashingtonRunningExhaust159.8122.0%1,622.8170.2%48.1261.9%19.8895.5%74.0599.5%StartExhaust267.0436.8%235.9510.2%7.539.7%0.653.1%0.000.0%Brakewear0.000.0%0.000.0%13.4917.3%0.000.0%0.000.0%Tirewear0.000.0%0.000.0%5.016.4%0.000.0%0.000.0%EvapPermeation38.065.2%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelVaporVenting96.6013.3%0.000.0%0.000.0%0.000.0%0.000.0%EvapFuelLeaks110.3615.2%0.000.0%0.000.0%0.000.0%0.000.0%CrankcaseRunningExhaust1.930.3%0.150.0%2.543.3%0.190.9%0.000.0%CrankcaseStartExhaust3.450.5%0.010.0%0.080.1%0.010.0%0.000.0%CrankcaseExtendedIdleExhaust0.130.0%0.020.0%0.060.1%0.000.0%0.000.0%RefuelingDisplacementVaporLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%RefuelingSpillageLoss0.000.0%0.000.0%0.000.0%0.000.0%0.000.0%ExtendedIdleExhaust48.086.6%453.2519.6%0.971.2%0.090.4%0.400.5%Total725.46100.0%2,312.19100.0%77.79100.0%20.82100.0%74.45100.0%

# Appendix G Information Addressing NRDC v. EPA , Case No. 08-1250

### APPENDIX G: Information Addressing NRDC v. EPA , Case No. 08-1250

On January 4, 2013, in Natural Resources Defense Council v. EPA , the U.S. Court of Appeals for the District of Columbia Circui t remanded to EPA the Final Clean Air Fine Particle Implementation Rule (72 FR 20586, April 25, 2007) and the Implementation of the New Source Review (NSR) Program for Particulate Matter Less than 2.5 Micrometers (PM 2.5 

### ) (73 FR 28321, May 16, 2008); No. 08-1250 (D.C. Cir. January 3, 2013). The C ourt found that EPA erre d in implementing the 1997 PM 2.5 

### NAAQS pursuant to the general implementati on provisions of subpart 1 of part D of Title I of the Act, rather than the particulate-ma tter specific provisions of subpart 4 of part D of Title I. EPA is interpreting this court decisi on and its potential implications for redesignation requests and maintenance plans, as well as for motor vehicle emissions budgets.

Maryland is providing additional information to address all PM 2.5 

### precursor polluta nts pursuant to the court decision. The table and graph below shows a downward tre nd in emission levels when all PM 2.5 

### precursor pollutants are incl uded in the analysis.

Pollutant 2007 2017 2025
NOX 10,780.70 7,909.14 6,466.01
SO2 7,183.28 5,962.06 5,967.45
PM2.5

‐ PRI 1,431.84 1,190.65 1,155.01
VOC 4,662.26 3,471.65 3,265.60
NH3 1,205.70 1,183.54 1,191.89
All Precursors 25,263.77 19,717.05 18,045.97

0.00 5,000.00 10,000.00 15,000.00 20,000.00 25,000.00

2007 2017 2025 NOX
SO2

PM2.5-PRI
VOC

NH3

All Precursors