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- R o a d M o b i l e E m i s s i o n s I n v e n t o ry D o c u m e n t a t i o n

Prom oti ng a h eal thy e nvi ro nm ent

.

### T hi s page i n t en t io n all y lef t b lan k.

### T a b l e o f C o n t e n t s

M o b ile S o urce E m

i s s i o n s In v en t o ry f o r Hun t i ngt o n -I ro n

t o n -A s hland

2

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### PM No n at t ai

n men t A rea.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 5

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### T hi s page i n t en t io n all y lef t b lan k.

# Mobile Source Emissions Inventory for Huntington-Ironton-Ashland PM 2.5 

# Nonattainment Area

Includes Cabell County, Wayne County, and a portion of Mason County in West Virginia, Lawrence County, Scioto County, a portion of Adams County, and a portion of Gallia County in Ohio, and

Boyd County and a portion of Lawrence County in Kentucky
Emission estimates for the Year 2005, 2008, 2015, and 2022 developed in support of the PM2.5

### State Implementation Plan

April 2011

Prepared for the West Virginia Department of Environmental Protection, the Ohio Environmental

Protection Agency, and the Kentucky Division for Air Quality by

KYOVA Interstate Planning Commission

### Acknowledgments

Title Mobile Source Emissions Inventory for Huntington-Ironton-Ashland PM2.5



### Nonattainment Area

Abstract This report was prepared for the West Virginia Department of Environmental

Protection, the Ohio Environmental Protection Agency, and the Kentucky Division for Air Quality. The nonattainment area includes Cabell County, Wayne County, and a portion of Mason County in West Virginia, Lawrence County, Scioto County, a portion of Adams County, and a portion of Gallia County in Ohio, and Boyd County and a portion of Lawrence County in Kentucky. This report includes emission estimates for the years 2005, 2008, 2015, and 2022 was generated to support the attainment SIPs for the annual PM 2.5

### standard. EPA’s Motor Vehicle Emission Simulation (MOVES) 2010a was used to generate the emission rates.

Date April 2011
Agency KYOVA Interstate Planning Commission

Michele Craig, Executive Director
Saleem Salameh, Technical Study Director
Project Consultant

Kimley-Horn and Associates, Inc.

Allison Fluitt
Jennifer Hunter

This project is receiving funding support from the following agencies: Cabell County, City of Huntington, City of Ironton, Federal Highway Administration, Federal Transit Administration, Huntington Chamber of Commerce, Lawrence County, Lawrence County Public Transit System, Ohio Department of Transportation, Tri-State Airport Authority, Tri-State Transit Authority, Wayne County, and West Virginia Department of Transportation. The contents of this document reflect the view of KYOVA Interstate Planning Commission which is responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the affiliated agencies listed above. This document does not constitute a standard, specification, or regulation.Mobile Source Emissions Inventory for the Page 1

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area

# Mobile Source Emissions Inventory for the HuntingtonIronton-Ashland PM 2.5 

# Nonattainment Area

This report was prepared for the Ohio Environmental Protection Agency (Ohio EPA), the West Virginia Department of Environmental Protection (WVDEP), and the Kentucky Division for Air Quality (KDAQ) to support the attainment State Implementation Plans (SIPs) for the annual PM 2.5 

### standard. The Huntington-Ironton-Ashland PM 2.5

### nonattainment area for the on-road emission estimation analysis is divided into a modeled area composed of Cabell, Wayne, and Mason (partial) Counties in West Virginia, Lawrence, Scioto, Adams (partial), and Gallia (partial) Counties in Ohio, and Boyd and Lawrence (partial) Counties in Kentucky. This document includes emissions estimates for the years 2005, 2008, 2015, and 2022. The United States Environmental Protection Agency’s (US EPA) Motor Vehicle Emissions Simulator (MOVES) 2010a model was used to generate the emission rates. The MOVES model replaced MOBILE6.2 as the official emissions modeling software of the EPA in December 2009. For the purposes of this analysis, MOVES emission rates were generated for direct PM 2.5 

### , PM 2.5

### tirewear, PM 2.5 

### brakewear, NO

x

### and SO 2 

### . The KYOVA Interstate Planning Commission is the Metropolitan Planning Organization (MPO) responsible for the long range planning and air quality conformity for the Huntington, WV and Ironton, OH region. The Ashland MPO is responsible for these activities for the Ashland, KY area. The transportation conformity process was established to ensure a region’s transportation activities and associated federal funding are consistent with the air quality goals set forth in the SIPs for the three states in this region. The SIPs include an inventory of projected emissions from vehicles. One or more of the analysis years in the projected inventory may be designated as the motor vehicle emissions budget (MVEB). This budget establishes a maximum allowable limit on future emissions from vehicles (mobile sources). The transportation plans and programs for the region (in this case, KYOVA and the Ashland MPO) must be in conformance with all the provisions in the SIP. The conformity process is a quantitative analysis which uses the MOVES software developed by the US EPA. The objective is to demonstrate that forecasted regional vehicle emissions do not exceed the established budget.
Tables 1a through 1cshow the daily and annual mobile source emissions for the West Virginia, Ohio, and Kentucky portions of the Huntington-Ironton-Ashland nonattainment areas. Separate MVEB’s are typically designated for these areas. An extensive interagency consultation process was initiated to gain feedback and consensus from agencies including the KYOVA Interstate Planning Commission (KYOVA), WVDEP, Ohio EPA, KDAQ, Ohio Department of Transportation (ODOT), West Virginia Department of Transportation (WVDOT), Kentucky Transportation Cabinet (KYTC), Federal Highway Administration (FHWA), Federal Transit Administration (FTA), and US EPA. Assumptions and methodology used in this analysis are documented in the Appendix of this report. For the development of the associated SIPs, it is recommended an additional safety margin be added to the motor vehicle emissions budget (MVEB) to account for any uncertainty with assumptions used in the development of this analysis. Daily and annual mobile source emissions for each county in the nonattainment area are shown in Tables 2a through 2i

.Mobile Source Emissions Inventory for the Page 2

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 1a. Mobile Source Emissions for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, West Virginia Portion (tons)

West Virginia Area (Cabell, Wayne, and Mason (Partial) Counties)

2005 Vehicle Population: 100,782 Daily VMT: 3,965,990 Annual VMT: 1,356,293,075 17.55 6,013.60 0.3347 114.54 0.6677 228.60 0.0381 13.04 0.0112 3.84

2008 Vehicle Population: 103,240 Daily VMT: 4,092,426 Annual VMT: 1,403,016,167 14.45 4,964.74
0.0907 31.12
0.5768 197.97
0.0394 13.51
0.0116 3.97

2015 Vehicle Population: 108,975 Daily VMT: 4,361,792 Annual VMT: 1,491,649,487 6.98 2,394.60
0.0386 13.22
0.2749 94.16
0.0420 14.36
0.0124 4.23

2022 Vehicle Population: 114,711 Daily VMT: 4,923,274 Annual VMT: 1,683,665,856 3.62 1,243.28
0.0393 13.46
0.1251 42.87
0.0474 16.19
0.0139 4.77 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total

Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Daily Emissions (tons) Annual Emissions (tons)

Pollutant Name

Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - TotalMobile Source Emissions Inventory for the Page 3

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 1b. Mobile Source Emissions for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Ohio Portion (tons)

Ohio Area (Lawrence, Scioto, Adams (Partial), and Gallia (Partial) Counties)

2005 Vehicle Population: 164,363 Daily VMT: 3,079,755 Annual VMT: 1,053,217,320 11.52 3,955.84
0.1920 65.73
0.3575 122.67
0.0241 8.24
0.0080 2.73

2008 Vehicle Population: 168,407 Daily VMT: 3,166,879 Annual VMT: 1,085,708,635 9.64 3,319.55
0.0633 21.73
0.3037 104.44
0.0248 8.50
0.0082 2.82

2015 Vehicle Population: 177,836 Daily VMT: 3,557,112 Annual VMT: 1,216,464,596 5.30 1,824.63
0.0292 10.01
0.1651 56.65
0.0279 9.53
0.0092 3.16

2022 Vehicle Population: 187,269 Daily VMT: 4,059,935 Annual VMT: 1,388,420,261 2.68 924.08
0.0304 10.42
0.0939 32.25
0.0318 10.86
0.0105 3.61 Primary PM 2.5 - Tirewear Particulate Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)

Oxides of Nitrogen (NO x )Mobile Source Emissions Inventory for the Page 4

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 1c. Mobile Source Emissions for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Kentucky Portion (tons)

Kentucky Area (Boyd and Lawrence (Partial) Counties)

2005 Vehicle Population: 52,269 Daily VMT: 1,520,525 Annual VMT: 519,990,431 8.30 2,843.94
0.0370 12.65
0.3338 114.31
0.0168 5.76
0.0045 1.55

2008 Vehicle Population: 53,576 Daily VMT: 1,469,006 Annual VMT: 503,622,799 6.73 2,311.75
0.0360 12.36
0.2827 97.03
0.0165 5.65
0.0044 1.51

2015 Vehicle Population: 56,625 Daily VMT: 1,585,233 Annual VMT: 542,119,590 3.57 1,225.13
0.0368 12.61
0.1359 46.54
0.0179 6.11
0.0048 1.63

2022 Vehicle Population: 59,674 Daily VMT: 1,735,819 Annual VMT: 593,617,125 1.99 685.60
0.0375 12.83
0.0647 22.18
0.0199 6.81
0.0053 1.80 Primary PM 2.5 - Tirewear Particulate Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Annual Emissions (tons)

Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total

Pollutant Name Daily Emissions (tons)Mobile Source Emissions Inventory for the Page 5

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2a. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Cabell County, WV (tons)

Cabell County, WV

2005 Vehicle Population: 73,091 Daily VMT: 2,808,750 Annual VMT: 960,538,915 12.44 4,262.48
0.2371 81.13
0.4731 161.97
0.0270 9.23
0.0079 2.72

2008 Vehicle Population: 74,874 Daily VMT: 2,885,502 Annual VMT: 989,243,546 10.20 3,504.59
0.0640 21.95
0.4069 139.66
0.0278 9.52
0.0082 2.80

2015 Vehicle Population: 79,033 Daily VMT: 3,096,762 Annual VMT: 1,059,033,672 4.96 1,702.34
0.0274 9.39
0.1953 66.88
0.0298 10.19
0.0088 3.00

2022 Vehicle Population: 83,193 Daily VMT: 3,336,065 Annual VMT: 1,140,870,563 2.46 847.76
0.0267 9.13
0.0850 29.12
0.0321 10.97
0.0094 3.23 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Daily Emissions (tons) Annual Emissions (tons)

Pollutant NameMobile Source Emissions Inventory for the Page 6

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2b. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Wayne County, WV (tons)

Wayne County, WV

2005 Vehicle Population: 25,446 Daily VMT: 1,139,180 Annual VMT: 389,577,827 5.02 1,720.01
0.0961 32.87
0.1914 65.52
0.0109 3.74
0.0032 1.10

2008 Vehicle Population: 26,067 Daily VMT: 1,187,259 Annual VMT: 407,030,689
4.17 1,432.79
0.0263 9.02
0.1670 57.30
0.0114 3.92
0.0034 1.15

2015 Vehicle Population: 27,515 Daily VMT: 1,241,619 Annual VMT: 424,609,965 1.97 676.93
0.0110 3.76
0.0781 26.74
0.0120 4.09
0.0035 1.20

2022 Vehicle Population: 28,963 Daily VMT: 1,560,054 Annual VMT: 533,508,781 1.13 386.80
0.0124 4.26
0.0394 13.49
0.0150 5.13
0.0044 1.51 Primary PM 2.5 - Tirewear Particulate Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)

Oxides of Nitrogen (NO x )Mobile Source Emissions Inventory for the Page 7

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2c. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Nonattainment Portion of Mason County, WV (tons)

Mason County (Partial), WV

2005 Vehicle Population: 2,244 Daily VMT: 18,060 Annual VMT: 6,176,333 0.09 31.12
0.0016 0.54
0.0032 1.11
0.0002 0.06
0.0001 0.02

2008 Vehicle Population: 2,299 Daily VMT: 19,665 Annual VMT: 6,741,932 0.08 27.36
0.0005 0.16
0.0029 1.01
0.0002 0.06
0.0001 0.02

2015 Vehicle Population: 2,427 Daily VMT: 23,410 Annual VMT: 8,005,850 0.04 15.33
0.0002 0.07
0.0016 0.54
0.0002 0.08
0.0001 0.02

2022 Vehicle Population: 2,555 Daily VMT: 27,155 Annual VMT: 9,286,512 0.03 8.72
0.0002 0.08
0.0008 0.26
0.0003 0.09
0.0001 0.03 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)Mobile Source Emissions Inventory for the Page 8

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2d. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Lawrence County, OH (tons)

Lawrence County, OH

2005 Vehicle Population: 72,392 Daily VMT: 1,315,020 Annual VMT: 449,711,752 4.93 1,692.81
0.0820 28.08
0.1529 52.46
0.0103 3.52
0.0034 1.17

2008 Vehicle Population: 74,172 Daily VMT: 1,334,081 Annual VMT: 457,366,121 4.07 1,403.49
0.0267 9.16
0.1282 44.10
0.0104 3.58
0.0035 1.19

2015 Vehicle Population: 78,325 Daily VMT: 1,470,988 Annual VMT: 503,049,909 2.21 759.82
0.0121 4.14
0.0685 23.51
0.0115 3.94
0.0038 1.31

2022 Vehicle Population: 82,480 Daily VMT: 1,742,638 Annual VMT: 595,949,049 1.15 397.98
0.0131 4.48
0.0404 13.87
0.0136 4.66
0.0045 1.55 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)Mobile Source Emissions Inventory for the Page 9

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2e. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Scioto County, OH (tons)

Scioto County, OH

2005 Vehicle Population: 88,852 Daily VMT: 1,616,940 Annual VMT: 552,962,632 6.06 2,081.20
0.1009 34.53
0.1880 64.50
0.0126 4.33
0.0042 1.43

2008 Vehicle Population: 91,039 Daily VMT: 1,678,238 Annual VMT: 575,354,151 5.11 1,761.97
0.0336 11.52
0.1611 55.40
0.0131 4.51
0.0044 1.49

2015 Vehicle Population: 96,136 Daily VMT: 1,915,776 Annual VMT: 655,158,989 2.86 983.09
0.0157 5.39
0.0889 30.52
0.0150 5.13
0.0050 1.70

2022 Vehicle Population: 101,235 Daily VMT: 2,131,162 Annual VMT: 728,816,580
1.41 486.95
0.0160 5.47
0.0494 16.97
0.0167 5.70
0.0055 1.89 Primary PM 2.5 - Tirewear Particulate Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)

Oxides of Nitrogen (NO x )Mobile Source Emissions Inventory for the Page 10

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2f. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Nonattainment Portion of Adams County, OH (tons)

Adams County, OH (Partial)

2005 Vehicle Population: 2,098 Daily VMT: 99,565 Annual VMT: 34,049,176 0.36 122.49
0.0061 2.10
0.0112 3.84
0.0008 0.27
0.0003 0.09

2008 Vehicle Population: 2,150 Daily VMT: 103,978 Annual VMT: 35,647,156 0.30 103.66
0.0021 0.71
0.0097 3.32
0.0008 0.28
0.0003 0.09

2015 Vehicle Population: 2,270 Daily VMT: 114,277 Annual VMT: 39,080,671 0.16 54.82
0.0009 0.32
0.0051 1.76
0.0009 0.31
0.0003 0.10

2022 Vehicle Population: 2,391 Daily VMT: 124,576 Annual VMT: 42,602,717 0.08 26.21
0.0009 0.32
0.0028 0.95
0.0010 0.33
0.0003 0.11 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)Mobile Source Emissions Inventory for the Page 11

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2g. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Nonattainment Portion of Gallia County, OH (tons)

Gallia County, OH (Partial)

2005 Vehicle Population: 1,021 Daily VMT: 48,230 Annual VMT: 16,493,759 0.17 59.34
0.0030 1.02
0.0054 1.86
0.0004 0.13
0.0001 0.04

2008 Vehicle Population: 1,046 Daily VMT: 50,582 Annual VMT: 17,341,207 0.15 50.43
0.0010 0.34
0.0047 1.62
0.0004 0.14
0.0001 0.05

2015 Vehicle Population: 1,105 Daily VMT: 56,070 Annual VMT: 19,175,027 0.08 26.89
0.0005 0.16
0.0025 0.86
0.0004 0.15
0.0001 0.05

2022 Vehicle Population: 1,163 Daily VMT: 61,559 Annual VMT: 21,051,915 0.04 12.94
0.0005 0.16
0.0014 0.47
0.0005 0.16
0.0002 0.05 Primary PM 2.5 - Tirewear Particulate Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total Primary PM 2.5 - Tirewear Particulate

Oxides of Nitrogen (NO x ) Primary PM 2.5 - Brakewear Particulate Sulfur Dioxide (SO 2 ) Primary Exhaust PM 2.5 - Total

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)

Oxides of Nitrogen (NO x )Mobile Source Emissions Inventory for the Page 12

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2h. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Boyd County, KY (tons)

Boyd County, KY

2005 Vehicle Population: 49,199 Daily VMT: 1,429,198 Annual VMT: 488,758,339 7.80 2,673.25
0.0347 11.89
0.3138 107.44
0.0158 5.41
0.0043 1.46

2008 Vehicle Population: 50,429 Daily VMT: 1,380,484 Annual VMT: 473,274,668 6.32 2,172.59
0.0339 11.62
0.2657 91.18
0.0155 5.31
0.0041 1.42

2015 Vehicle Population: 53,299 Daily VMT: 1,494,083 Annual VMT: 510,947,840 3.36 1,154.59
0.0347 11.89
0.1281 43.86
0.0168 5.76
0.0045 1.54

2022 Vehicle Population: 56,169 Daily VMT: 1,640,241 Annual VMT: 560,930,984 1.88 647.64
0.0354 12.12
0.0611 20.95
0.0188 6.43
0.0050 1.70 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)Mobile Source Emissions Inventory for the Page 13

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 2i. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM 2.5 

### Nonattainment Area, Nonattainment Portion of Lawrence County, KY (tons)

Lawrence County, KY (Partial)

2005 Vehicle Population: 3,070 Daily VMT: 91,327 Annual VMT: 31,232,092 0.50 170.69
0.0022 0.76
0.0200 6.86
0.0010 0.35
0.0003 0.09

2008 Vehicle Population: 3,147 Daily VMT: 88,522 Annual VMT: 30,348,132 0.40 139.16
0.0022 0.74
0.0170 5.84
0.0010 0.34
0.0003 0.09

2015 Vehicle Population: 3,326 Daily VMT: 91,151 Annual VMT: 31,171,751 0.21 70.54
0.0021 0.73
0.0078 2.68
0.0010 0.35
0.0003 0.09

2022 Vehicle Population: 3,505 Daily VMT: 95,579 Annual VMT: 32,686,140 0.11 37.96
0.0021 0.71
0.0036 1.22
0.0011 0.37
0.0003 0.10 Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 ) Primary PM 2.5 - Brakewear Particulate Primary PM 2.5 - Tirewear Particulate Primary Exhaust PM 2.5 - Total Oxides of Nitrogen (NO x ) Sulfur Dioxide (SO 2 )

Pollutant Name Daily Emissions (tons) Annual Emissions (tons)Mobile Source Emissions Inventory for the Page 14

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Background US EPA published a Federal Register notice 1 

### of availability on March 2, 2010, to approve MOVES2010 (Motor Vehicle Emissions Simulator), hereafter referred to as MOVES. Upon publication of the Federal Register notice, MOVES became U.S. EPA’s approved motor vehicle emission factor model for estimating VOCs, NO

x 

### , CO, PM 10 

### and PM2.5 

### and other pollutants and precursors from cars, trucks, motorcycles, and buses by state and local agencies. MOVES is a computer program designed by the US EPA to estimate air pollution emissions from mobile sources. MOVES replaces US EPA’s previous emissions model for on-road mobile sources, MOBILE6.2. MOVES can be used to estimate exhaust and evaporative emissions as well as brake and tire wear emissions from all types of on-road vehicles. An updated version of this software, MOVES2010a, was used for the purposes of this analysis. MOVES2010a is a minor update to MOVES2010. MOVES2010a includes general performance improvements from MOVES2010, and also allows users to account for emissions under new car and light truck energy and greenhouse gas standards. The Clean Air Act (CAA) requires US EPA to regularly update its mobile source emission models. US EPA continuously collects data and measures vehicle emissions to make sure the Agency has the best possible understanding of mobile source emissions. This assessment, in turn, informs the development of US EPA’s mobile source emission models. MOVES represents the Agency’s most up-to-date assessment of on-road mobile source emissions. MOVES also incorporates several changes to the US EPA’s approach to mobile source emission modeling based upon recommendations made to the Agency by the National Academy of Sciences. US EPA believes that MOVES should be used in ozone, CO, PM, and nitrogen dioxide State Implementation Plan (SIP) development as expeditiously as possible. The CAA requires that SIP inventories and control measures be based on the most current information and applicable models that are available when a SIP is developed.
On March 2, 2010, US EPA and US DOT established a two-year grace period before MOVES is required for new transportation conformity analyses. As a result, MOVES will be the required analysis platform for all conformity analyses after March 2, 2012.
The more detailed MOVES approach to modeling (when compared with the previous MOBILE model) allows US EPA to easily incorporate large amounts of in-use data from a wide variety of sources, such as data from vehicle inspection and maintenance (I/M) programs, remote sensing device (RSD) testing, certification testing, portable emission measurement systems (PEMS), etc. This approach also allows users to incorporate a variety of activity data to better estimate emission differences such as those resulting from changes to vehicle speed and acceleration patterns. MOVES has a graphical user interface which allows users to more easily set up and run the model. MOVES database-centered design provides users much greater flexibility regarding output choices. Unlike earlier models which provided emission factors in grams-per-mile in fixed output formats, MOVES output can be expressed as total mass (in tons, pounds, kilograms, or grams) or as emission factors (grams-per-mile and in some cases grams-per-vehicle). Output can be easily aggregated or disaggregated to examine emissions in a range of scales, from national emissions impacts down to the emissions impacts of individual transportation projects. The database-centered design also allows

1 http://www.regulations.gov/search/Regs/home.html#documentDetail?R=0900006480ab1f98Mobile Source Emissions Inventory for the Page 15

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### US EPA to update emissions data incorporated in MOVES more easily and will allow users to incorporate a much wider array of activity data to improve estimation of local emissions. For example, the improvements in MOVES will allow project-level PM 2.5

### emissions to be estimated.

Mobile Source Emission Forecast Process
The emissions inventory development and emissions projection discussion below identifies procedures used by the KYOVA Interstate Planning Commission regarding emissions of all the counties in the Huntington-Ironton-Ashland nonattainment area. All of these inventories and emissions projections were prepared using similar methodologies. Mobile emissions inventories and projections for all counties were prepared by Kimley-Horn and Associates on behalf of the KYOVA Interstate Planning Commission, with data provided by KYOVA, ODOT, Ohio EPA, WVDOT, WVDEP, KYTC, and KDAQ.
Cabell County, WV, Wayne County, WV, and Lawrence County, OH are represented within the KYOVA Travel Demand Model. Boyd County, KY is represented by the KYTC’s Ashland Regional Travel Demand Model. For these areas, information from the travel demand models combined with Highway Performance Monitoring Systems (HPMS) county-level data from each respective area were used in the emissions analysis. For the full or partial counties not included within the available travel demand models, HPMS data was relied upon more heavily for the travel characteristics. The Appendixof this report provides a full description of the data sources and analysis procedures used in this analysis effort.

Table 3 summarizes the settings used in the MOVES run specification file. Table 4lists the assumptions used in the MOVES County Data Manager. Further details on the use of MOVES are found in the Appendix

. Table 3. MOVES Runspec Parameters MOVES Runspec Parameter Settings MOVES2010a, Version 2010/08/26 Scale County, Emission Rates Time Span Time aggregation = Hour 1 month representing average annual temperatures (April) All hours of the day selected Weekdays only Geographic Bounds 3 custom domai ns

– 3 West Virginia counties, 4 Ohio counties, 2 Kentucky counties Vehicles/Equipment All valid source types, gasoline and diesel Road Type All road types including off

- network Pollutants and Processes NO x , all PM2.5 categories, SO 2 , total energy consu mption Strategies Modified AVFT strategy reflecting 0% CNG buses in the transit fleet General Output Units = grams, joules, miles Output Emissions Time = hour, location = link, on

- road emission rates by road type and source use type Advanced Performanc e NoneMobile Source Emissions Inventory for the Page 16

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 4. MOVES County Data Manager Parameters County Data Manager Input Data Source Meteorology Data Local. OH and WV data from ODOT. KY data from KDAQ Source Type Population Local and default. Local data from motor vehicle registration dat a. WV data from WVDEP. Default data used for source types 51, 52, 53, 61, and 62. OH data from ODOT. Default data used for source types 41, 51, 54, 61, and 62. KY data from KYTC. No default data used. 0.8% annual growth factor applied for all areas. Age Distribution Local and default. Local data from motor vehicle registration data. WV data from WVDEP. Ohio data used for source types 41, 42, 43, 51, 52, 53, 61, and 62. OH data from ODOT (Lawrence and Scioto Counties). KY data from KYTC (Boyd County). Vehicle Type VMT

– HPMS Vehicle Type VMT Local. OH and WV data from ODOT. Lawrence County, OH, Cabell County, WV, and Wayne County, WV data from KYOVA Travel Demand Model. Scioto County, OH data from interim statewide model. Adams County, OH, Gallia County, OH, and Mason County, WV data from ODOT and WVDOT roadway inventory data. KY data from KYTC. Ashland Travel Demand Model and HPMS data used to forecast information. Vehicle Type VMT

– Monthly VMT Fraction Determined using EPA conversion tool for Annual Average Weekly VMT
Vehicle Type VMT

– Daily VMT Fraction Determined using EPA conversion tool for Annual Average Weekly VMT
Vehicle Type VMT

– Hourly VMT Fraction Local and default. OH and WV data from ODOT. Default used for off

network, OH data used for on- road classes. KY data from KYTC. Default used for off-network, road type 4. KY data used for road types 2, 3, and 5. Average Speed Distribution Default Road Type Distribution Local. ODOT applied HPMS data for Lawrence County, OH, Scioto County, OH, Cabell County, WV, and Wayne County, WV. Assumed to apply to all geographic areas. Ramp Fraction Local. OH and WV data from KYOVA Travel Demand Model. KY data from Ashland Travel Demand Model. Fuel Supply Local and default. Default for WV and OH. KY data from KDAQ. Fuel Formulation Default I/M Programs No data entered Zone Road Activity Default


### Travel Demand Modeling The latest planning assumptions available for the Huntington-Ironton-Ashland non-attainment area were used. Both the KYOVA Travel Demand Model and the KYTC Ashland Regional Travel Demand Model are the most recent and approved regional travel demand models for their respective areas. For each travel demand model, model validation is a joint process between the MPO and the appropriate state review agencies. The KYOVA Travel Demand Model is a three step model. Trip generation, trip distribution, and trip assignment components are included in the model. Mode choice is not an element of the current model. The Travel Demand Model covers Cabell County, WV, Wayne County, WV, and Lawrence County, OH. The current base year for the travel demand model is 2000. SocioeconomicMobile Source Emissions Inventory for the Page 17

Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### data was forecasted to the year 2035 as a part of the most recent regional metropolitan transportation plan. The QRS II modeling platform was used to develop this model. The KYOVA Interstate Planning Commission’s currently adopted transportation plan, titled Huntington-Ironton Area Transportation Study (HIATS), The Year 2035 Long-Range Transportation Planwas prepared in May 2009. Appendix A of that document contains the assumptions and methodology used to develop the Travel Demand Model. Similar to the KYOVA Travel Demand Model, the Ashland Regional Travel Demand Model is a traditional three-step model. The model includes trip generation, trip distribution, and trip assignment components. Transit operations are not included in the model; as a result, there is no mode choice component. The Travel Demand Model covers Boyd and Greenup Counties in Kentucky. Updated in 2007, this model has a base year of 2007 and a final horizon year of 2040. 2010, 2020, and 2030 forecast years were also incorporated into the model. The TransCAD modeling platform was used to develop this model. The document titled Ashland Regional Travel Demand Model, Model Update Report was developed in January 2008 for the Kentucky Transportation Cabinet. This document contains the assumptions and methodology used to develop the current Travel Demand Model. For areas of the modeling region in a county with a travel demand model, information from this model was applied for the analysis. Specifically, VMT data in the HPMS vehicle class format and ramp fractions for rural and urban restricted roadways were obtained from the travel demand models. For areas outside of the travel demand model extents, ramp fractions were assumed to mirror those seen in their respective states. HPMS vehicle class VMTs for areas outside the travel demand model limits were derived and forecasted from current HPMS traffic data in those areas.
In addition to the information above, numerous additional data sources were consulted to obtain the needed information for the MOVES software. Source type population and vehicle age distribution data were obtained from ODOT, WVDEP, and KYTC for their respective states. ODOT and KYTC provided data about hourly vehicle distributions. Guidance and data for meteorological, fuel supply, and fuel formulation inputs were obtained from ODOT and KDAQ. The KYOVA Interstate Planning Commission supplied information on the transit vehicle population for the region. Information regarding these parameters is discussed in Tables 3 and 4

. Post-Processing The analysis was performed using the emission rates method. This method was chosen over the inventory method in an attempt to generate a set of MOVES runs that could later be used for other project applications without re-running the entire MOVES program. As a result, post-processing of the data was required to arrive at the overall emissions output. To do this, the rate per distance and rate per vehicle output data were matched with the appropriate geographic area, analysis year, source types, pollutant types, road types, modeling hours, and speed classes and then aggregated with the corresponding source type population and vehicle miles traveled information. The resulting information was summarized by pollutant type for each full or partial county being analyzed to generate the overall emissions in tons per year. The Appendix provides additional detail on the data sources gathered, modeling assumptions, and post-processing steps.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-1

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area



# APPENDIX

Technical Documentation for Using MOVES2010a to Develop Mobile SourceEmissions for the Huntington-IrontonAshland PM 2.5 

# Nonattainment Area

March 2011APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-2

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### 1.0 MOVES2010a The MOVES2010a software was released by the Environmental Protection Agency in August 2010. This software uses a graphical user interface with a set of input categories. A Runspec can be developed that stores the input values for these categories. The values and information included in the Runspecs developed for this analysis are explained in more detail in the following sections.

1.1 Description This input window is used to distinguish the individual Runspecs. For this analysis, the description is used to introduce the purpose for the analysis, the area being studied (i.e. West Virginia, Ohio, or Kentucky), and the year of analysis (i.e. 2005, 2008, 2015, and 2022).

1.2 Scale This input window is used to detail the information needed for the domain/scale of the analysis as well as the calculation type. The county level was selected as the domain for this effort, since it is the appropriate level for use in SIP and regional conformity analysis. The emission rate method was chosen for the calculation type. This calculation type was chosen following a discussion with the involved review agencies to determine the most appropriate calculation method for this analysis.

1.3 Time Spans The Time Spans input window has a variety of different timescale inputs that are used for understanding the level of temporal aggregation being used in the analysis. The time aggregation level was specified as hours, based on guidance from EPA/FHWA for the preferred aggregation level for SIP runs. Based on the interagency consultation process, the years 2005, 2008, 2015, and 2022 were chosen for the analysis years. 2022 was chosen as the final horizon year because that year must be more than 10 years beyond the current year. Each year was done within a different Runspec. Since the pollutant analysis being conducted is for the annual PM 2.5

### standard, a representative month was chosen to portray average annual temperatures. April was established as the representative month through the consultation process. Weekdays were selected as the representative day type since they are considered to be the worst-case type when compared with weekends. All hours of the day were included in the analysis to represent conditions over a full 24-hour period.

1.4 Geographic Bounds Rather than looking at each full and partial county within the non-attainment area, a custom domain method was employed. Custom domains were used to represent the areas to be modeled in each of the three states. The custom domains are as follows:

x West Virginia: Cabell, Wayne, and Mason (partial) Counties. CountyID 1.

x Ohio: Lawrence, Scioto, Adams (partial), and Gallia (partial) Counties. CountyID 2.

x Kentucky: Boyd and Lawrence (partial) Counties. CountyID 3. The component counties within each state’s analysis area were listed within this input window. Default information was used for the barometric pressure in each custom domain. This region is not a geographic phase-in area, so that value was kept as zero. Since the region does not have an I/M program, the refueling vapor program adjustment fraction and the refueling spill program adjustment factors were also left as zero.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-3

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### This input window also asks for the name of the domain input database. A total of twelve input databases were created during this process, reflecting the appropriate Runspec and input data for the following conditions:

x West Virginia, Year 2005

x West Virginia, Year 2008

x West Virginia, Year 2015

x West Virginia, Year 2022 x Ohio, Year 2005

x Ohio, Year 2008

x Ohio, Year 2015

x Ohio, Year 2022 x Kentucky, Year 2005

x Kentucky, Year 2008

x Kentucky, Year 2015

x Kentucky, Year 2022

1.5 Vehicles/Equipment This input window allows the user to specify which fuel and vehicle types are present within the transportation network. There are thirteen vehicle classes (referred to as source use types) and five fuel types. This analysis considers diesel and gas fuel types only. This was partly to reflect the lack of compressed natural gas and liquefied petroleum gas vehicles in the population, and also to allow for default fuel formulation and fuel supply information to be used in portions of the study area. Within these constraints, all possible vehicle and fuel types were considered. Diesel motorcycles, gas combination long-haul trucks, and gas intercity buses were removed since they are not represented in the vehicle population.

1.6 Road Type The MOVES software incorporates five different roadway types: off-network, rural restricted access, rural unrestricted access, urban restricted access, and urban unrestricted access. Expressways and freeways in the region are considered as restricted access facilities. For this analysis, all five vehicle types were considered. Off-network emissions are intended to account for vehicle starts and evaporative emissions for parked vehicles. While these emissions are not captured through the information provided by the regional travel demand models, default values can be used to assess their impacts.

1.7 Pollutants and Processes This input window allows the user to specify different pollutants and processes that are desired for modeling. Since the purpose of this analysis is to assess emissions relating to the annual PM 2.5 

### standard, the interagency consultation specified the inclusion of total energy consumption, all PM 2.5 

### categories, NO
x 

### , and SO 2 

### .
1.8 Miscellaneous Strategies The MOVES software includes input windows where provisions can be specified for alternative vehicle fuels and technologies (AVFT), on-road retrofit strategies, and rate of progress information. If no information is entered for AVFT, MOVES assumes a default mix of alternative fuels. KYOVA provided information detailing the makeup of the bus fleet for the Tri-State Transit Authority (TTA). The TTA fleet is composed of standard gas and diesel vehicles as well as a small number of hybrid vehicles. At this time, the MOVES software is not equipped to consider hybrid vehicles in its AVFT element. This element can only be used to reflect compressed natural gas, electric, and advanced internal combustion engines. Therefore, the MOVES default file was modified to reflect only standard fuel types. Table 1 shows the modified portion of the AVFT file used in this MOVES analysis for the entire region.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-4

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 1. AVFT Input for All Runspecs (Source Type 42) sourceTypeID modelYearID fuelTypeID engTechID fuelEngFraction

42 1960 2 1 1 42 1961 2 1 1 42 1962 2 1 1 42 1963 2 1 1 42 1964 2 1 1 42 1965 2 1 1 42 1966 2 1 1 42 1967 2 1 1 42 1968 2 1 1 42 1969 2 1 1 42 1970 2 1 1 42 1971 2 1 1 42 1972 2 1 1 42 1973 2 1 1 42 1974 2 1 1 42 1975 2 1 1 42 1976 2 1 1 42 1977 2 1 1 42 1978 2 1 1 42 1979 2 1 1 42 1980 2 1 1 42 1981 2 1 1 42 1982 2 1 1 42 1983 2 1 1 42 1984 2 1 1 42 1985 2 1 1 42 1986 2 1 1 42 1987 2 1 1 42 1988 2 1 1 42 1989 2 1 1 42 1990 2 1 1 42 1991 2 1 1 42 1992 2 1 1 42 1993 2 1 1 42 1994 2 1 1 42 1995 2 1 1 42 1996 2 1 1 42 1997 2 1 1 42 1998 2 1 1 42 1999 2 1 1 42 2000 2 1 1 42 2001 2 1 1 42 2002 2 1 1 42 2003 2 1 1 42 2004 2 1 1 42 2005 2 1 1APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-5

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area sourceTypeID modelYearID fuelTypeID engTechID fuelEngFraction

42 2006 2 1 1 42 2007 2 1 1 42 2008 2 1 1 42 2009 2 1 1 42 2010 2 1 1 42 2011 2 1 1 42 2012 2 1 1 42 2013 2 1 1 42 2014 2 1 1 42 2015 2 1 1 42 2016 2 1 1 42 2017 2 1 1 42 2018 2 1 1 42 2019 2 1 1 42 2020 2 1 1 42 2021 2 1 1 42 2022 2 1 1 42 2023 2 1 1 42 2024 2 1 1 42 2025 2 1 1 42 2026 2 1 1 42 2027 2 1 1 42 2028 2 1 1 42 2029 2 1 1 42 2030 2 1 1 42 2031 2 1 1 42 2032 2 1 1 42 2033 2 1 1 42 2034 2 1 1 42 2035 2 1 1 42 2036 2 1 1 42 2037 2 1 1 42 2038 2 1 1 42 2039 2 1 1 42 2040 2 1 1 42 2041 2 1 1 42 2042 2 1 1 42 2043 2 1 1 42 2044 2 1 1 42 2045 2 1 1 42 2046 2 1 1 42 2047 2 1 1 42 2048 2 1 1 42 2049 2 1 1 42 2050 2 1 1APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-6

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### 1.9 Output Output for the MOVES program is stored in a user-created database. Output databases were created for each of the 12 different Runspec conditions. As specified in the interagency consultation process, grams, joules, and miles were used as the units of measure in the output database. Based on the parameters already established in these Runspecs, the time measurement for this analysis was set as hourly, and the location was automatically set for the link level. To assist with post-processing aggregation, it was further requested that the source use type information be included with the output.

2.0 County Data Manager Once all of the base parameters have been established for a given MOVES Runspec, the County Data Manager can be used to enter locally-specific data. Input provided in Excel spreadsheet format can be referenced using this tool, which converts the data to MySQL format and incorporates it into the MOVES analysis. For the Huntington-Ironton-Ashland non-attainment area, locally-specific data could consist of data used for the entire region, for one or more state portions, or for a particular county. The following sections detail these input criteria, and the methodology and assumptions used to arrive at the information entered for each.

2.1 Meteorology Data Importer This importer requires the average temperature and relative humidity information for each hour of the day. As detailed in the MOVES Runspec information, the month of April was assumed to represent average annual conditions. The Protocol Report developed for this analysis indicated all meteorological information would be derived from NOAA information obtained at the Tri-State Airport. However, the presence of specific data in the Kentucky area led to the airport data being used only for the Ohio and West Virginia portions of this analysis. Due to the detail of this data as well as the location of the airport, this data is assumed to appropriately represent the Ohio and West Virginia areas of the analysis.
ODOT supplied the information for Ohio and West Virginia, obtained originally from NOAA. The Ohio and West Virginia data represents the meteorological conditions at the Tri-State Airport. 2002 was chosen for the meteorological base year due to the guidance provided in Federal Register 40 CFR 93.122, which states temperatures should be consistent with those used to establish the budget in the current State Implementation Plan. Table 2 shows the April portion of the meteorology data used in Ohio and West Virginia.
Meteorological data for the Kentucky portion of the analysis area was obtained from KDAQ. This data provided temperature and humidity information for Boyd County, KY. Data for this county is also anticipated to be applicable for the modeled portion of Lawrence County, KY. The temperature and relative humidity data was obtained from historical data obtained through NOAA. Table 3 shows the April portion of the meteorology data used in Kentucky.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-7

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area monthID zoneID HourID temperature relHumidity 4 990010 1 46.8 75.0 4 990010 2 45.5 77.0 4 990010 3 44.6 78.0 4 990010 4 43.9 80.0 4 990010 5 43.3 82.0 4 990010 6 42.7 83.0 4 990010 7 42.2 80.0 4 990010 8 42.6 78.0 4 990010 9 45.3 74.0 4 990010 10 49.5 68.0 4 990010 11 53.8 66.0 4 990010 12 57.4 63.0 4 990010 13 60.7 61.0 4 990010 14 62.4 58.0 4 990010 15 63.0 56.0 4 990010 16 63.2 54.0 4 990010 17 62.8 53.0 4 990010 18 61.5 55.0 4 990010 19 59.4 59.0 4 990010 20 56.7 62.0 4 990010 21 54.0 66.0 4 990010 22 51.7 68.0 4 990010 23 50.0 73.0 4 990010 24 48.3 73.0 monthID zoneID hourID temperature relHumidity 4 990030 1 48.8 61.5 4 990030 2 47.4 63.8 4 990030 3 46.4 66.4 4 990030 4 45.6 68.4 4 990030 5 45.0 70.5 4 990030 6 44.4 72.2 4 990030 7 43.8 73.5 4 990030 8 44.3 73.6 4 990030 9 47.2 68.7 4 990030 10 51.8 62.3 4 990030 11 56.5 56.4 4 990030 12 60.5 51.5 4 990030 13 64.0 48.0 4 990030 14 65.9 45.3 4 990030 15 66.6 43.2 4 990030 16 66.8 42.2 4 990030 17 66.3 41.6 4 990030 18 65.0 41.7 4 990030 19 62.7 42.7 4 990030 20 59.7 45.3 4 990030 21 56.7 48.2 4 990030 22 54.2 51.7 4 990030 23 52.3 55.3 4 990030 24 50.5 58.6 

### Table 2. West Virginia and Ohio Meteorology Data Table 3. Kentucky Meteorology Data

2.2 Source Type Population Importer This importer provides the user with the opportunity to enter vehicle population data for the local area, sorted by the 13 MOVES vehicle source types. Data for this importer was obtained from West Virginia, Ohio, and Kentucky for their respective areas. The Protocol Report prepared for this analysis indicated that each state’s area would use a combination of default data and local information. While this was the case, the source types using default and local data varied by each state. The 0.8% annual growth factor established in the Protocol Report was used to determine future year source type population numbers for all three states. A definition of all source type IDs can be found in the excerpt of the MOVES2010 User Guide found at the back of the Protocol Report.
WVDEP supplied the data for Cabell, Wayne, and Mason Counties. This data was originally obtained from the WVDMV and then cleaned to fit within the MOVES source types. An inventory of the bus population in the three-county area was obtained and used to modify the supplied DMV data. Due to questions about the validity or completeness of some of the data, default values were used for the following source types: 51 (Refuse Truck), 52 (Single Unit Short-Haul Truck), 53 (Single Unit Long-Haul Truck), 61 (Combination Short-Haul Truck), and 62 (Combination Long Haul Truck). Actual data has been used for Motorcycles, Passenger Cars, Passenger Trucks, Light Commercial Trucks, Transit Buses, School Buses, and Motor Homes. For source type 41 (Intercity Bus), the data was obtained by looking atAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-8

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### the actual transit bus number, and then applying the ratio found in the MOVES default data between intercity and transit buses. Mason County data was obtained for the entire county, and then reduced by WVDEP to reflect the township in the partial county nonattainment area. Data obtained was from the year 2007. Table 4shows the West Virginia source type population data for the year 2008.

Ohio data was obtained from ODOT. This data was cleaned to fit within the MOVES source type classifications. Due to questions about the accuracy or validity of certain source types, default values were employed in some instances. Default values were used for source type 41 (Intercity Bus), 51 (Refuse Truck), 54 (Motor Home), 61 (Combination Short-Haul Truck), and 62 (Combination Long-Haul Truck). This data was provided for the year 2008. Table 5 shows the Ohio source type population data for the year 2008.
Kentucky data was obtained from the Kentucky Transportation Cabinet. KYTC used the converter tool available from EPA/FHWA to adjust the data currently available in Mobile6 format into MOVES source types. There were no default values used for any of the source types in the Kentucky data set. Kentucky provided data for Boyd County during the year 2010. A factor of 0.0624 was used to estimate Lawrence County data based on Boyd County data. This factor was based on 2009 VMT of 85,757 for the Lawrence nonattainment area and 1,375,095 for Boyd. Table 6 shows the Kentucky source type population data for the year 2008.
Table 4. 2008 West Virginia Source Type Population yearID sourceTypeID sourceTypePopulation 2008 11 2847 2008 21 44548 2008 31 43905 2008 32 7146 2008 41 63 2008 42 34 2008 43 240 2008 51 43 2008 52 2597 2008 53 296 2008 54 128 2008 61 660 2008 62 732APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-9

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 5. 2008 Ohio Source Type Population yearID sourceTypeID sourceTypePopulation 2008 11 10899 2008 21 105584 2008 31 47800 2008 32 1168 2008 41 33 2008 42 3 2008 43 486 2008 51 20 2008 52 371 2008 53 123 2008 54 5005 2008 61 254 2008 62 291


### Table 6. 2008 Kentucky Source Type Population yearID sourceTypeID sourceTypePopulation 2008 11 2278 2008 21 25773 2008 31 19154 2008 32 5781 2008 41 9 2008 42 27 2008 43 46 2008 51 7 2008 52 234 2008 53 16 2008 54 25 2008 61 124 2008 62 100



### 2.3 Age Distribution Importer The Age Distribution Importer allows the user to provide vehicle age distribution data sorted by the MOVES vehicle source types. Vehicle age distribution is divided into 30 years based on vehicle model years. For each vehicle type, the sum of all age distributions will equal one. Age distribution information was obtained from each state for their respective area. The Protocol Report indicates a combination of local and default data would be used to determine the overall distribution. Since the type and quality of data available by state varies, these local and default data combinations were established unique to each state. As stated in the Protocol Report, the age distribution determined for each state was used for all analysis years.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-10

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 11 2008 0 0.0267 11 2008 1 0.0620 11 2008 2 0.0904 11 2008 3 0.1036 11 2008 4 0.0895 11 2008 5 0.0806 11 2008 6 0.0581 11 2008 7 0.0797 11 2008 8 0.0620 11 2008 9 0.0482 11 2008 10 0.0383 11 2008 11 0.0326 11 2008 12 0.0210 11 2008 13 0.0201 11 2008 14 0.0186 11 2008 15 0.0156 11 2008 16 0.0132 11 2008 17 0.0099 11 2008 18 0.0063 11 2008 19 0.0048 11 2008 20 0.0048 source TypeID yearID ageID ageFraction 11 2008 21 0.0051 11 2008 22 0.0078 11 2008 23 0.0096 11 2008 24 0.0099 11 2008 25 0.0117 11 2008 26 0.0087 11 2008 27 0.0096 11 2008 28 0.0084 11 2008 29 0.0057 11 2008 30 0.0377 21 2008 0 0.0313 21 2008 1 0.0391 21 2008 2 0.0532 21 2008 3 0.0643 21 2008 4 0.0578 21 2008 5 0.0609 21 2008 6 0.0586 21 2008 7 0.0608 21 2008 8 0.0628 21 2008 9 0.0608 21 2008 10 0.0664 

### West Virginia data was provided by WVDEP, based on information from motor vehicle registration data. 2010 data was used to assess the age distribution of certain vehicle types. Based on the availability and confidence level about some of the vehicle class data, only certain types were distributed using local data. Cabell, Mason, and Wayne age distribution data was used for the following source types: source type 11 (Motorcycle), source type 21 (Passenger Car), source type 31 (Passenger Truck), source type 32 (Light Commercial Truck), and source type 54 (Motor Home). The age distribution data provided from Ohio was used for the remaining source types. Table 7 shows the age distributions used for the West Virginia area (shown for the year 2008).
Ohio data was obtained from ODOT, based on information from motor vehicle registration data. The data was cleaned and prepared by ODOT to fit within the MOVES format. Data provided was for Scioto and Lawrence Counties, but is expected to be representative of the entire area. This data was provided for 2008. Table 8shows the age distributions used for the Ohio area (shown for the year 2008).
Kentucky data was provided by the Kentucky Transportation Cabinet, based on information from motor vehicle registration data. While this data is for Boyd County, it is assumed to also be representative of the Lawrence County area. This data was provided for the year 2010. Table 9shows the age distributions used for the Kentucky area (shown for the year 2008).
Table 7. West Virginia Non-Attainment Area Age DistributionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-11

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 21 2008 11 0.0600 21 2008 12 0.0510 21 2008 13 0.0446 21 2008 14 0.0360 21 2008 15 0.0351 21 2008 16 0.0260 21 2008 17 0.0214 21 2008 18 0.0171 21 2008 19 0.0142 21 2008 20 0.0110 21 2008 21 0.0084 21 2008 22 0.0065 21 2008 23 0.0052 21 2008 24 0.0040 21 2008 25 0.0028 21 2008 26 0.0027 21 2008 27 0.0012 21 2008 28 0.0007 21 2008 29 0.0011 21 2008 30 0.0348 31 2008 0 0.0309 31 2008 1 0.0326 31 2008 2 0.0514 31 2008 3 0.0555 31 2008 4 0.0599 31 2008 5 0.0670 31 2008 6 0.0698 31 2008 7 0.0644 31 2008 8 0.0646 31 2008 9 0.0565 31 2008 10 0.0617 31 2008 11 0.0541 31 2008 12 0.0498 31 2008 13 0.0457 31 2008 14 0.0363 31 2008 15 0.0345 31 2008 16 0.0301 31 2008 17 0.0209 31 2008 18 0.0170 31 2008 19 0.0144 31 2008 20 0.0113 31 2008 21 0.0125 31 2008 22 0.0110 31 2008 23 0.0077 31 2008 24 0.0069 31 2008 25 0.0064 source TypeID yearID ageID ageFraction 31 2008 26 0.0043 31 2008 27 0.0026 31 2008 28 0.0017 31 2008 29 0.0013 31 2008 30 0.0173 32 2008 0 0.0414 32 2008 1 0.0419 32 2008 2 0.0740 32 2008 3 0.0810 32 2008 4 0.0903 32 2008 5 0.0810 32 2008 6 0.0671 32 2008 7 0.0708 32 2008 8 0.0557 32 2008 9 0.0550 32 2008 10 0.0441 32 2008 11 0.0418 32 2008 12 0.0253 32 2008 13 0.0318 32 2008 14 0.0255 32 2008 15 0.0307 32 2008 16 0.0301 32 2008 17 0.0193 32 2008 18 0.0155 32 2008 19 0.0108 32 2008 20 0.0118 32 2008 21 0.0095 32 2008 22 0.0087 32 2008 23 0.0073 32 2008 24 0.0101 32 2008 25 0.0064 32 2008 26 0.0046 32 2008 27 0.0038 32 2008 28 0.0014 32 2008 29 0.0013 32 2008 30 0.0020 41 2008 0 0.0000 41 2008 1 0.0147 41 2008 2 0.0000 41 2008 3 0.0000 41 2008 4 0.0882 41 2008 5 0.0441 41 2008 6 0.0294 41 2008 7 0.0588 41 2008 8 0.0000 41 2008 9 0.0294APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-12

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 41 2008 10 0.0441 41 2008 11 0.1471 41 2008 12 0.1324 41 2008 13 0.0588 41 2008 14 0.0000 41 2008 15 0.0441 41 2008 16 0.0588 41 2008 17 0.0147 41 2008 18 0.0000 41 2008 19 0.0000 41 2008 20 0.0294 41 2008 21 0.0000 41 2008 22 0.1471 41 2008 23 0.0147 41 2008 24 0.0000 41 2008 25 0.0000 41 2008 26 0.0147 41 2008 27 0.0000 41 2008 28 0.0000 41 2008 29 0.0000 41 2008 30 0.0295 42 2008 0 0.0000 42 2008 1 0.0000 42 2008 2 0.0000 42 2008 3 0.0000 42 2008 4 0.0000 42 2008 5 0.0000 42 2008 6 0.0000 42 2008 7 0.0000 42 2008 8 0.0000 42 2008 9 0.3333 42 2008 10 0.0000 42 2008 11 0.0000 42 2008 12 0.3333 42 2008 13 0.0000 42 2008 14 0.0000 42 2008 15 0.0000 42 2008 16 0.0000 42 2008 17 0.0000 42 2008 18 0.0000 42 2008 19 0.0000 42 2008 20 0.0000 42 2008 21 0.0000 42 2008 22 0.0000 42 2008 23 0.0000 42 2008 24 0.0000 source TypeID yearID ageID ageFraction 42 2008 25 0.0000 42 2008 26 0.3333 42 2008 27 0.0000 42 2008 28 0.0000 42 2008 29 0.0001 42 2008 30 0.0000 43 2008 0 0.0168 43 2008 1 0.0189 43 2008 2 0.0671 43 2008 3 0.0461 43 2008 4 0.0335 43 2008 5 0.0335 43 2008 6 0.0461 43 2008 7 0.0629 43 2008 8 0.0629 43 2008 9 0.0839 43 2008 10 0.0650 43 2008 11 0.0650 43 2008 12 0.0629 43 2008 13 0.0440 43 2008 14 0.0294 43 2008 15 0.0252 43 2008 16 0.0314 43 2008 17 0.0231 43 2008 18 0.0231 43 2008 19 0.0105 43 2008 20 0.0273 43 2008 21 0.0126 43 2008 22 0.0105 43 2008 23 0.0168 43 2008 24 0.0105 43 2008 25 0.0126 43 2008 26 0.0231 43 2008 27 0.0042 43 2008 28 0.0105 43 2008 29 0.0063 43 2008 30 0.0143 51 2008 0 0.0000 51 2008 1 0.0714 51 2008 2 0.2005 51 2008 3 0.1071 51 2008 4 0.0934 51 2008 5 0.0055 51 2008 6 0.0192 51 2008 7 0.0357 51 2008 8 0.0302APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-13

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 51 2008 9 0.0302 51 2008 10 0.0440 51 2008 11 0.0659 51 2008 12 0.0330 51 2008 13 0.0385 51 2008 14 0.0385 51 2008 15 0.0467 51 2008 16 0.0330 51 2008 17 0.0357 51 2008 18 0.0330 51 2008 19 0.0082 51 2008 20 0.0110 51 2008 21 0.0000 51 2008 22 0.0027 51 2008 23 0.0055 51 2008 24 0.0000 51 2008 25 0.0082 51 2008 26 0.0000 51 2008 27 0.0000 51 2008 28 0.0000 51 2008 29 0.0000 51 2008 30 0.0029 52 2008 0 0.0000 52 2008 1 0.0714 52 2008 2 0.2005 52 2008 3 0.1071 52 2008 4 0.0934 52 2008 5 0.0055 52 2008 6 0.0192 52 2008 7 0.0357 52 2008 8 0.0302 52 2008 9 0.0302 52 2008 10 0.0440 52 2008 11 0.0659 52 2008 12 0.0330 52 2008 13 0.0385 52 2008 14 0.0385 52 2008 15 0.0467 52 2008 16 0.0330 52 2008 17 0.0357 52 2008 18 0.0330 52 2008 19 0.0082 52 2008 20 0.0110 52 2008 21 0.0000 52 2008 22 0.0027 52 2008 23 0.0055 source TypeID yearID ageID ageFraction 52 2008 24 0.0000 52 2008 25 0.0082 52 2008 26 0.0000 52 2008 27 0.0000 52 2008 28 0.0000 52 2008 29 0.0000 52 2008 30 0.0029 53 2008 0 0.0000 53 2008 1 0.0714 53 2008 2 0.2005 53 2008 3 0.1071 53 2008 4 0.0934 53 2008 5 0.0055 53 2008 6 0.0192 53 2008 7 0.0357 53 2008 8 0.0302 53 2008 9 0.0302 53 2008 10 0.0440 53 2008 11 0.0659 53 2008 12 0.0330 53 2008 13 0.0385 53 2008 14 0.0385 53 2008 15 0.0467 53 2008 16 0.0330 53 2008 17 0.0357 53 2008 18 0.0330 53 2008 19 0.0082 53 2008 20 0.0110 53 2008 21 0.0000 53 2008 22 0.0027 53 2008 23 0.0055 53 2008 24 0.0000 53 2008 25 0.0082 53 2008 26 0.0000 53 2008 27 0.0000 53 2008 28 0.0000 53 2008 29 0.0000 53 2008 30 0.0029 54 2008 0 0.0128 54 2008 1 0.0128 54 2008 2 0.0256 54 2008 3 0.0321 54 2008 4 0.0577 54 2008 5 0.0449 54 2008 6 0.0256 54 2008 7 0.0449APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-14

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 54 2008 8 0.0256 54 2008 9 0.0321 54 2008 10 0.0256 54 2008 11 0.0321 54 2008 12 0.0192 54 2008 13 0.0064 54 2008 14 0.0064 54 2008 15 0.0192 54 2008 16 0.0449 54 2008 17 0.0385 54 2008 18 0.0064 54 2008 19 0.0192 54 2008 20 0.0641 54 2008 21 0.0577 54 2008 22 0.0321 54 2008 23 0.0385 54 2008 24 0.0321 54 2008 25 0.0641 54 2008 26 0.0256 54 2008 27 0.0064 54 2008 28 0.0192 54 2008 29 0.0064 54 2008 30 0.1218 61 2008 0 0.0017 61 2008 1 0.0096 61 2008 2 0.0198 61 2008 3 0.0224 61 2008 4 0.0285 61 2008 5 0.0350 61 2008 6 0.0401 61 2008 7 0.0410 61 2008 8 0.0429 61 2008 9 0.0462 61 2008 10 0.0551 61 2008 11 0.0549 61 2008 12 0.0492 61 2008 13 0.0534 61 2008 14 0.0425 61 2008 15 0.0490 61 2008 16 0.0521 61 2008 17 0.0367 61 2008 18 0.0358 61 2008 19 0.0343 61 2008 20 0.0302 61 2008 21 0.0367 61 2008 22 0.0356 source TypeID yearID ageID ageFraction 61 2008 23 0.0234 61 2008 24 0.0232 61 2008 25 0.0192 61 2008 26 0.0143 61 2008 27 0.0079 61 2008 28 0.0075 61 2008 29 0.0058 61 2008 30 0.0460 62 2008 0 0.0010 62 2008 1 0.0370 62 2008 2 0.0120 62 2008 3 0.0761 62 2008 4 0.0601 62 2008 5 0.0571 62 2008 6 0.0410 62 2008 7 0.0931 62 2008 8 0.0370 62 2008 9 0.0581 62 2008 10 0.0671 62 2008 11 0.0871 62 2008 12 0.0801 62 2008 13 0.0400 62 2008 14 0.0501 62 2008 15 0.0430 62 2008 16 0.0370 62 2008 17 0.0210 62 2008 18 0.0120 62 2008 19 0.0080 62 2008 20 0.0170 62 2008 21 0.0150 62 2008 22 0.0110 62 2008 23 0.0080 62 2008 24 0.0030 62 2008 25 0.0100 62 2008 26 0.0020 62 2008 27 0.0040 62 2008 28 0.0000 62 2008 29 0.0000 62 2008 30 0.0121APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-15

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 11 2022 0 0.0017 11 2022 1 0.0240 11 2022 2 0.0578 11 2022 3 0.0786 11 2022 4 0.0896 11 2022 5 0.0908 11 2022 6 0.0739 11 2022 7 0.0782 11 2022 8 0.0631 11 2022 9 0.0530 11 2022 10 0.0472 11 2022 11 0.0341 11 2022 12 0.0257 11 2022 13 0.0210 11 2022 14 0.0224 11 2022 15 0.0193 11 2022 16 0.0156 11 2022 17 0.0105 11 2022 18 0.0083 11 2022 19 0.0043 11 2022 20 0.0072 11 2022 21 0.0072 11 2022 22 0.0076 11 2022 23 0.0104 11 2022 24 0.0182 11 2022 25 0.0129 11 2022 26 0.0149 11 2022 27 0.0140 11 2022 28 0.0227 11 2022 29 0.0122 11 2022 30 0.0536 21 2022 0 0.0062 21 2022 1 0.0199 21 2022 2 0.0331 21 2022 3 0.0389 21 2022 4 0.0404 21 2022 5 0.0420 21 2022 6 0.0411 21 2022 7 0.0434 21 2022 8 0.0475 21 2022 9 0.0525 21 2022 10 0.0646 21 2022 11 0.0630 21 2022 12 0.0599 source TypeID yearID ageID ageFraction 21 2022 13 0.0613 21 2022 14 0.0542 21 2022 15 0.0581 21 2022 16 0.0470 21 2022 17 0.0411 21 2022 18 0.0345 21 2022 19 0.0264 21 2022 20 0.0213 21 2022 21 0.0195 21 2022 22 0.0144 21 2022 23 0.0097 21 2022 24 0.0092 21 2022 25 0.0058 21 2022 26 0.0044 21 2022 27 0.0025 21 2022 28 0.0017 21 2022 29 0.0019 21 2022 30 0.0345 31 2022 0 0.0067 31 2022 1 0.0208 31 2022 2 0.0445 31 2022 3 0.0494 31 2022 4 0.0543 31 2022 5 0.0632 31 2022 6 0.0627 31 2022 7 0.0608 31 2022 8 0.0631 31 2022 9 0.0553 31 2022 10 0.0629 31 2022 11 0.0589 31 2022 12 0.0584 31 2022 13 0.0487 31 2022 14 0.0473 31 2022 15 0.0481 31 2022 16 0.0407 31 2022 17 0.0335 31 2022 18 0.0245 31 2022 19 0.0190 31 2022 20 0.0137 31 2022 21 0.0150 31 2022 22 0.0119 31 2022 23 0.0093 31 2022 24 0.0066 31 2022 25 0.0059 

### Table 8. Ohio Non-Attainment Area Age DistributionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-16

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 31 2022 26 0.0038 31 2022 27 0.0021 31 2022 28 0.0011 31 2022 29 0.0010 31 2022 30 0.0068 32 2022 0 0.0070 32 2022 1 0.0209 32 2022 2 0.0689 32 2022 3 0.0489 32 2022 4 0.0445 32 2022 5 0.0262 32 2022 6 0.0218 32 2022 7 0.0271 32 2022 8 0.0349 32 2022 9 0.0297 32 2022 10 0.0558 32 2022 11 0.0620 32 2022 12 0.0541 32 2022 13 0.0550 32 2022 14 0.0384 32 2022 15 0.0742 32 2022 16 0.0567 32 2022 17 0.0349 32 2022 18 0.0462 32 2022 19 0.0305 32 2022 20 0.0323 32 2022 21 0.0366 32 2022 22 0.0166 32 2022 23 0.0122 32 2022 24 0.0218 32 2022 25 0.0131 32 2022 26 0.0087 32 2022 27 0.0052 32 2022 28 0.0026 32 2022 29 0.0009 32 2022 30 0.0123 41 2022 0 0.0000 41 2022 1 0.0147 41 2022 2 0.0000 41 2022 3 0.0000 41 2022 4 0.0882 41 2022 5 0.0441 41 2022 6 0.0294 41 2022 7 0.0588 41 2022 8 0.0000 41 2022 9 0.0294 source TypeID yearID ageID ageFraction 41 2022 10 0.0441 41 2022 11 0.1471 41 2022 12 0.1324 41 2022 13 0.0588 41 2022 14 0.0000 41 2022 15 0.0441 41 2022 16 0.0588 41 2022 17 0.0147 41 2022 18 0.0000 41 2022 19 0.0000 41 2022 20 0.0294 41 2022 21 0.0000 41 2022 22 0.1471 41 2022 23 0.0147 41 2022 24 0.0000 41 2022 25 0.0000 41 2022 26 0.0147 41 2022 27 0.0000 41 2022 28 0.0000 41 2022 29 0.0000 41 2022 30 0.0295 42 2022 0 0.0000 42 2022 1 0.0000 42 2022 2 0.0000 42 2022 3 0.0000 42 2022 4 0.0000 42 2022 5 0.0000 42 2022 6 0.0000 42 2022 7 0.0000 42 2022 8 0.0000 42 2022 9 0.3333 42 2022 10 0.0000 42 2022 11 0.0000 42 2022 12 0.3333 42 2022 13 0.0000 42 2022 14 0.0000 42 2022 15 0.0000 42 2022 16 0.0000 42 2022 17 0.0000 42 2022 18 0.0000 42 2022 19 0.0000 42 2022 20 0.0000 42 2022 21 0.0000 42 2022 22 0.0000 42 2022 23 0.0000 42 2022 24 0.0000APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-17

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 42 2022 25 0.0000 42 2022 26 0.3333 42 2022 27 0.0000 42 2022 28 0.0000 42 2022 29 0.0001 42 2022 30 0.0000 43 2022 0 0.0168 43 2022 1 0.0189 43 2022 2 0.0671 43 2022 3 0.0461 43 2022 4 0.0335 43 2022 5 0.0335 43 2022 6 0.0461 43 2022 7 0.0629 43 2022 8 0.0629 43 2022 9 0.0839 43 2022 10 0.0650 43 2022 11 0.0650 43 2022 12 0.0629 43 2022 13 0.0440 43 2022 14 0.0294 43 2022 15 0.0252 43 2022 16 0.0314 43 2022 17 0.0231 43 2022 18 0.0231 43 2022 19 0.0105 43 2022 20 0.0273 43 2022 21 0.0126 43 2022 22 0.0105 43 2022 23 0.0168 43 2022 24 0.0105 43 2022 25 0.0126 43 2022 26 0.0231 43 2022 27 0.0042 43 2022 28 0.0105 43 2022 29 0.0063 43 2022 30 0.0143 51 2022 0 0.0000 51 2022 1 0.0714 51 2022 2 0.2005 51 2022 3 0.1071 51 2022 4 0.0934 51 2022 5 0.0055 51 2022 6 0.0192 51 2022 7 0.0357 51 2022 8 0.0302 source TypeID yearID ageID ageFraction 51 2022 9 0.0302 51 2022 10 0.0440 51 2022 11 0.0659 51 2022 12 0.0330 51 2022 13 0.0385 51 2022 14 0.0385 51 2022 15 0.0467 51 2022 16 0.0330 51 2022 17 0.0357 51 2022 18 0.0330 51 2022 19 0.0082 51 2022 20 0.0110 51 2022 21 0.0000 51 2022 22 0.0027 51 2022 23 0.0055 51 2022 24 0.0000 51 2022 25 0.0082 51 2022 26 0.0000 51 2022 27 0.0000 51 2022 28 0.0000 51 2022 29 0.0000 51 2022 30 0.0029 52 2022 0 0.0000 52 2022 1 0.0714 52 2022 2 0.2005 52 2022 3 0.1071 52 2022 4 0.0934 52 2022 5 0.0055 52 2022 6 0.0192 52 2022 7 0.0357 52 2022 8 0.0302 52 2022 9 0.0302 52 2022 10 0.0440 52 2022 11 0.0659 52 2022 12 0.0330 52 2022 13 0.0385 52 2022 14 0.0385 52 2022 15 0.0467 52 2022 16 0.0330 52 2022 17 0.0357 52 2022 18 0.0330 52 2022 19 0.0082 52 2022 20 0.0110 52 2022 21 0.0000 52 2022 22 0.0027 52 2022 23 0.0055APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-18

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 52 2022 24 0.0000 52 2022 25 0.0082 52 2022 26 0.0000 52 2022 27 0.0000 52 2022 28 0.0000 52 2022 29 0.0000 52 2022 30 0.0029 53 2022 0 0.0000 53 2022 1 0.0714 53 2022 2 0.2005 53 2022 3 0.1071 53 2022 4 0.0934 53 2022 5 0.0055 53 2022 6 0.0192 53 2022 7 0.0357 53 2022 8 0.0302 53 2022 9 0.0302 53 2022 10 0.0440 53 2022 11 0.0659 53 2022 12 0.0330 53 2022 13 0.0385 53 2022 14 0.0385 53 2022 15 0.0467 53 2022 16 0.0330 53 2022 17 0.0357 53 2022 18 0.0330 53 2022 19 0.0082 53 2022 20 0.0110 53 2022 21 0.0000 53 2022 22 0.0027 53 2022 23 0.0055 53 2022 24 0.0000 53 2022 25 0.0082 53 2022 26 0.0000 53 2022 27 0.0000 53 2022 28 0.0000 53 2022 29 0.0000 53 2022 30 0.0029 54 2022 0 0.0073 54 2022 1 0.0151 54 2022 2 0.0320 54 2022 3 0.0368 54 2022 4 0.0450 54 2022 5 0.0413 54 2022 6 0.0450 54 2022 7 0.0472 source TypeID yearID ageID ageFraction 54 2022 8 0.0415 54 2022 9 0.0377 54 2022 10 0.0495 54 2022 11 0.0405 54 2022 12 0.0336 54 2022 13 0.0340 54 2022 14 0.0293 54 2022 15 0.0320 54 2022 16 0.0254 54 2022 17 0.0275 54 2022 18 0.0175 54 2022 19 0.0130 54 2022 20 0.0197 54 2022 21 0.0202 54 2022 22 0.0191 54 2022 23 0.0218 54 2022 24 0.0173 54 2022 25 0.0200 54 2022 26 0.0228 54 2022 27 0.0175 54 2022 28 0.0128 54 2022 29 0.0079 54 2022 30 0.1697 61 2022 0 0.0017 61 2022 1 0.0096 61 2022 2 0.0198 61 2022 3 0.0224 61 2022 4 0.0285 61 2022 5 0.0350 61 2022 6 0.0401 61 2022 7 0.0410 61 2022 8 0.0429 61 2022 9 0.0462 61 2022 10 0.0551 61 2022 11 0.0549 61 2022 12 0.0492 61 2022 13 0.0534 61 2022 14 0.0425 61 2022 15 0.0490 61 2022 16 0.0521 61 2022 17 0.0367 61 2022 18 0.0358 61 2022 19 0.0343 61 2022 20 0.0302 61 2022 21 0.0367 61 2022 22 0.0356APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-19

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 61 2022 23 0.0234 61 2022 24 0.0232 61 2022 25 0.0192 61 2022 26 0.0143 61 2022 27 0.0079 61 2022 28 0.0075 61 2022 29 0.0058 61 2022 30 0.0460 62 2022 0 0.0010 62 2022 1 0.0370 62 2022 2 0.0120 62 2022 3 0.0761 62 2022 4 0.0601 62 2022 5 0.0571 62 2022 6 0.0410 62 2022 7 0.0931 62 2022 8 0.0370 62 2022 9 0.0581 62 2022 10 0.0671 62 2022 11 0.0871 62 2022 12 0.0801 62 2022 13 0.0400 62 2022 14 0.0501 62 2022 15 0.0430 62 2022 16 0.0370 62 2022 17 0.0210 62 2022 18 0.0120 62 2022 19 0.0080 62 2022 20 0.0170 62 2022 21 0.0150 62 2022 22 0.0110 62 2022 23 0.0080 62 2022 24 0.0030 62 2022 25 0.0100 62 2022 26 0.0020 62 2022 27 0.0040 62 2022 28 0.0000 62 2022 29 0.0000 62 2022 30 0.0121APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-20

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 11 2022 0 0.0092 11 2022 1 0.0303 11 2022 2 0.0537 11 2022 3 0.0968 11 2022 4 0.0982 11 2022 5 0.0932 11 2022 6 0.0877 11 2022 7 0.0569 11 2022 8 0.0629 11 2022 9 0.0464 11 2022 10 0.0408 11 2022 11 0.0395 11 2022 12 0.0390 11 2022 13 0.0207 11 2022 14 0.0147 11 2022 15 0.0289 11 2022 16 0.0142 11 2022 17 0.0179 11 2022 18 0.0069 11 2022 19 0.0055 11 2022 20 0.0069 11 2022 21 0.0050 11 2022 22 0.0046 11 2022 23 0.0028 11 2022 24 0.0017 11 2022 25 0.0010 11 2022 26 0.0006 11 2022 27 0.0004 11 2022 28 0.0002 11 2022 29 0.0001 11 2022 30 0.1135 21 2022 0 0.0045 21 2022 1 0.0385 21 2022 2 0.0339 21 2022 3 0.0523 21 2022 4 0.0593 21 2022 5 0.0580 21 2022 6 0.0604 21 2022 7 0.0543 21 2022 8 0.0532 21 2022 9 0.0634 21 2022 10 0.0657 21 2022 11 0.0672 21 2022 12 0.0590 source TypeID yearID ageID ageFraction 21 2022 13 0.0522 21 2022 14 0.0446 21 2022 15 0.0393 21 2022 16 0.0383 21 2022 17 0.0279 21 2022 18 0.0240 21 2022 19 0.0174 21 2022 20 0.0124 21 2022 21 0.0090 21 2022 22 0.0112 21 2022 23 0.0077 21 2022 24 0.0053 21 2022 25 0.0037 21 2022 26 0.0025 21 2022 27 0.0018 21 2022 28 0.0012 21 2022 29 0.0008 21 2022 30 0.0308 31 2022 0 0.0039 31 2022 1 0.0315 31 2022 2 0.0280 31 2022 3 0.0520 31 2022 4 0.0592 31 2022 5 0.0592 31 2022 6 0.0657 31 2022 7 0.0644 31 2022 8 0.0626 31 2022 9 0.0582 31 2022 10 0.0576 31 2022 11 0.0575 31 2022 12 0.0483 31 2022 13 0.0457 31 2022 14 0.0417 31 2022 15 0.0313 31 2022 16 0.0332 31 2022 17 0.0319 31 2022 18 0.0206 31 2022 19 0.0172 31 2022 20 0.0162 31 2022 21 0.0137 31 2022 22 0.0143 31 2022 23 0.0119 31 2022 24 0.0108 31 2022 25 0.0126 

### Table 9. Kentucky Non-Attainment Area Age DistributionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-21

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 31 2022 26 0.0066 31 2022 27 0.0049 31 2022 28 0.0039 31 2022 29 0.0032 31 2022 30 0.0319 32 2022 0 0.0041 32 2022 1 0.0305 32 2022 2 0.0277 32 2022 3 0.0520 32 2022 4 0.0594 32 2022 5 0.0592 32 2022 6 0.0639 32 2022 7 0.0635 32 2022 8 0.0611 32 2022 9 0.0573 32 2022 10 0.0566 32 2022 11 0.0574 32 2022 12 0.0481 32 2022 13 0.0441 32 2022 14 0.0417 32 2022 15 0.0314 32 2022 16 0.0331 32 2022 17 0.0319 32 2022 18 0.0217 32 2022 19 0.0176 32 2022 20 0.0157 32 2022 21 0.0137 32 2022 22 0.0149 32 2022 23 0.0124 32 2022 24 0.0118 32 2022 25 0.0136 32 2022 26 0.0070 32 2022 27 0.0054 32 2022 28 0.0047 32 2022 29 0.0038 32 2022 30 0.0345 41 2022 0 0.0000 41 2022 1 0.0000 41 2022 2 0.0000 41 2022 3 0.0000 41 2022 4 0.0286 41 2022 5 0.0000 41 2022 6 0.0000 41 2022 7 0.0000 41 2022 8 0.0000 41 2022 9 0.0000 source TypeID yearID ageID ageFraction 41 2022 10 0.0000 41 2022 11 0.0000 41 2022 12 0.0000 41 2022 13 0.0000 41 2022 14 0.0000 41 2022 15 0.0000 41 2022 16 0.0000 41 2022 17 0.0000 41 2022 18 0.0000 41 2022 19 0.0000 41 2022 20 0.0000 41 2022 21 0.0000 41 2022 22 0.0000 41 2022 23 0.0000 41 2022 24 0.0000 41 2022 25 0.0000 41 2022 26 0.0000 41 2022 27 0.0000 41 2022 28 0.0000 41 2022 29 0.0000 41 2022 30 0.9714 42 2022 0 0.0000 42 2022 1 0.0000 42 2022 2 0.0000 42 2022 3 0.0000 42 2022 4 0.0286 42 2022 5 0.0000 42 2022 6 0.0000 42 2022 7 0.0000 42 2022 8 0.0000 42 2022 9 0.0000 42 2022 10 0.0000 42 2022 11 0.0000 42 2022 12 0.0000 42 2022 13 0.0000 42 2022 14 0.0000 42 2022 15 0.0000 42 2022 16 0.0000 42 2022 17 0.0000 42 2022 18 0.0000 42 2022 19 0.0000 42 2022 20 0.0000 42 2022 21 0.0000 42 2022 22 0.0000 42 2022 23 0.0000 42 2022 24 0.0000APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-22

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 42 2022 25 0.0000 42 2022 26 0.0000 42 2022 27 0.0000 42 2022 28 0.0000 42 2022 29 0.0000 42 2022 30 0.9714 43 2022 0 0.0242 43 2022 1 0.0239 43 2022 2 0.0009 43 2022 3 0.0934 43 2022 4 0.0010 43 2022 5 0.0941 43 2022 6 0.0704 43 2022 7 0.0024 43 2022 8 0.0701 43 2022 9 0.0248 43 2022 10 0.1183 43 2022 11 0.0250 43 2022 12 0.0944 43 2022 13 0.0034 43 2022 14 0.0265 43 2022 15 0.0010 43 2022 16 0.0479 43 2022 17 0.0934 43 2022 18 0.0017 43 2022 19 0.0009 43 2022 20 0.0021 43 2022 21 0.0246 43 2022 22 0.0029 43 2022 23 0.0021 43 2022 24 0.0020 43 2022 25 0.0020 43 2022 26 0.0021 43 2022 27 0.0024 43 2022 28 0.0012 43 2022 29 0.0000 43 2022 30 0.1409 51 2022 0 0.0119 51 2022 1 0.0138 51 2022 2 0.0237 51 2022 3 0.0278 51 2022 4 0.0667 51 2022 5 0.0615 51 2022 6 0.0892 51 2022 7 0.0367 51 2022 8 0.0549 source TypeID yearID ageID ageFraction 51 2022 9 0.0291 51 2022 10 0.0693 51 2022 11 0.0343 51 2022 12 0.0555 51 2022 13 0.0492 51 2022 14 0.0446 51 2022 15 0.0263 51 2022 16 0.0330 51 2022 17 0.0179 51 2022 18 0.0378 51 2022 19 0.0083 51 2022 20 0.0149 51 2022 21 0.0085 51 2022 22 0.0220 51 2022 23 0.0371 51 2022 24 0.0308 51 2022 25 0.0138 51 2022 26 0.0136 51 2022 27 0.0131 51 2022 28 0.0122 51 2022 29 0.0111 51 2022 30 0.0312 52 2022 0 0.0167 52 2022 1 0.0148 52 2022 2 0.0221 52 2022 3 0.0348 52 2022 4 0.0403 52 2022 5 0.0539 52 2022 6 0.0591 52 2022 7 0.0419 52 2022 8 0.0399 52 2022 9 0.0329 52 2022 10 0.0711 52 2022 11 0.0355 52 2022 12 0.0563 52 2022 13 0.0586 52 2022 14 0.0541 52 2022 15 0.0234 52 2022 16 0.0324 52 2022 17 0.0225 52 2022 18 0.0319 52 2022 19 0.0122 52 2022 20 0.0262 52 2022 21 0.0153 52 2022 22 0.0301 52 2022 23 0.0318APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-23

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 52 2022 24 0.0270 52 2022 25 0.0183 52 2022 26 0.0180 52 2022 27 0.0179 52 2022 28 0.0116 52 2022 29 0.0054 52 2022 30 0.0439 53 2022 0 0.0167 53 2022 1 0.0148 53 2022 2 0.0228 53 2022 3 0.0364 53 2022 4 0.0396 53 2022 5 0.0544 53 2022 6 0.0588 53 2022 7 0.0431 53 2022 8 0.0399 53 2022 9 0.0337 53 2022 10 0.0726 53 2022 11 0.0358 53 2022 12 0.0578 53 2022 13 0.0607 53 2022 14 0.0549 53 2022 15 0.0240 53 2022 16 0.0321 53 2022 17 0.0220 53 2022 18 0.0317 53 2022 19 0.0124 53 2022 20 0.0268 53 2022 21 0.0146 53 2022 22 0.0291 53 2022 23 0.0307 53 2022 24 0.0257 53 2022 25 0.0170 53 2022 26 0.0166 53 2022 27 0.0159 53 2022 28 0.0106 53 2022 29 0.0053 53 2022 30 0.0436 54 2022 0 0.0213 54 2022 1 0.0160 54 2022 2 0.0184 54 2022 3 0.0367 54 2022 4 0.0160 54 2022 5 0.0450 54 2022 6 0.0305 54 2022 7 0.0435 source TypeID yearID ageID ageFraction 54 2022 8 0.0252 54 2022 9 0.0344 54 2022 10 0.0687 54 2022 11 0.0359 54 2022 12 0.0527 54 2022 13 0.0619 54 2022 14 0.0610 54 2022 15 0.0188 54 2022 16 0.0326 54 2022 17 0.0284 54 2022 18 0.0265 54 2022 19 0.0154 54 2022 20 0.0354 54 2022 21 0.0241 54 2022 22 0.0411 54 2022 23 0.0300 54 2022 24 0.0271 54 2022 25 0.0265 54 2022 26 0.0268 54 2022 27 0.0286 54 2022 28 0.0141 54 2022 29 0.0000 54 2022 30 0.0574 61 2022 0 0.0113 61 2022 1 0.0137 61 2022 2 0.0236 61 2022 3 0.0264 61 2022 4 0.0699 61 2022 5 0.0621 61 2022 6 0.0926 61 2022 7 0.0357 61 2022 8 0.0565 61 2022 9 0.0284 61 2022 10 0.0686 61 2022 11 0.0341 61 2022 12 0.0549 61 2022 13 0.0474 61 2022 14 0.0433 61 2022 15 0.0264 61 2022 16 0.0332 61 2022 17 0.0176 61 2022 18 0.0386 61 2022 19 0.0078 61 2022 20 0.0134 61 2022 21 0.0080 61 2022 22 0.0216APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-24

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID yearID ageID ageFraction 61 2022 23 0.0381 61 2022 24 0.0317 61 2022 25 0.0138 61 2022 26 0.0136 61 2022 27 0.0134 61 2022 28 0.0126 61 2022 29 0.0118 61 2022 30 0.0299 62 2022 0 0.0105 62 2022 1 0.0135 62 2022 2 0.0235 62 2022 3 0.0245 62 2022 4 0.0749 62 2022 5 0.0633 62 2022 6 0.0981 62 2022 7 0.0343 62 2022 8 0.0592 62 2022 9 0.0274 62 2022 10 0.0676 62 2022 11 0.0337 62 2022 12 0.0541 62 2022 13 0.0449 62 2022 14 0.0413 62 2022 15 0.0267 62 2022 16 0.0334 62 2022 17 0.0170 62 2022 18 0.0397 62 2022 19 0.0071 62 2022 20 0.0111 62 2022 21 0.0071 62 2022 22 0.0205 62 2022 23 0.0396 62 2022 24 0.0329 62 2022 25 0.0135 62 2022 26 0.0134 62 2022 27 0.0133 62 2022 28 0.0131 62 2022 29 0.0129 62 2022 30 0.0278APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-25

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### 2.4 Vehicle Type VMT and VMT Fractions This data importer asks the user for the VMT in the study area by HPMS vehicle class type, hourly VMT distributions, daily VMT distributions, and monthly VMT distributions. The HPMS vehicle class VMT is asked for an annual basis. To determine this information, data can be pulled from available travel demand models or from regional HPMS data.

HPMS Vehicle Class VMT To determine the HPMS vehicle type VMTs, additional analysis was necessary. Overall VMTs for West Virginia and Ohio were obtained from ODOT. VMTs for Lawrence County, OH, Cabell County, WV, and Wayne County, WV were obtained from the currently approved KYOVA Regional Travel Demand Model (currently operating on the QRSII platform). Scioto County, OH VMT information was obtained using the interim statewide model. The Portsmouth Bypass was assumed to be in place as of the 2015 analysis year, which increased the total VMT in the county. For the partial counties in Ohio, current mileage figures were obtained from ODOT OTS Roadway Inventory staff. VMTs for these areas were estimated using road lengths and other data fields in the statewide model network. The VMT for the portion of Mason County, WV included in this analysis was based on VMT and growth rates supplied by WVDOT.
The projected VMTs for the four analysis years were totaled over all the complete and partial counties within the Ohio and West Virginia areas. Once these tallies were obtained, the next step was to separate out the total VMT into the six HPMS vehicle classes. ODOT provided a percentage for each analysis year for these vehicle classes. These percentages were obtained by looking at Ohio statewide data obtained through the Automatic Traffic Recorders program, and were then applied to the total Ohio VMT to obtain the needed input data. For West Virginia, VMT splits into the HPMS vehicle classes were obtained from 2003 HPMS data for the portion of the region being analyzed. These percentages were then applied to the total West Virginia VMT to arrive at the needed input data. The EPA conversion tool was used to convert these daily VMT numbers to annual values. Table 10 shows the annual VMT for the West Virginia area over all analysis years. Table 11 provides this information for the Ohio area.
For Kentucky, data was supplied by the Kentucky Transportation Cabinet. HPMS VMT data was obtained for the years 2005 and 2008. Travel demand model data was used to forecast the VMT data for 2015 and 2022. Once VMTs were determined for each model year (divided by roadway functional class), a set of HPMS VMT fractions were applied to determine the VMT for each HPMS vehicle class type. The VMTs were summed over each HPMS vehicle class to determine the daily HPMS VMTs. The EPA conversion tool was then used to convert these daily VMT numbers to annual values. Table 12 shows the annual VMT for the Kentucky area over all analysis years.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-26

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 10. West Virginia Area Annual VMT by HPMS Vehicle Class HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 7528013 0 20 2005 966958093 0 30 2005 230138467 0 40 2005 9176503 0 50 2005 49781926 0 60 2005 92710073 0 10 2008 7787346 0 20 2008 1000268940 0 30 2008 238066533 0 40 2008 9492625 0 50 2008 51496869 0 60 2008 95903853 0 10 2015 8279299 0 20 2015 1063459344 0 30 2015 253106008 0 40 2015 10092307 0 50 2015 54750102 0 60 2015 101962427 0 10 2022 9345073 0 20 2022 1200355849 0 30 2022 285687722 0 40 2022 11391464 0 50 2022 61797948 0 60 2022 115087799 0APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-27

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 11. Ohio Area Annual VMT by HPMS Vehicle Class HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 4230446 0 20 2005 754466644 0 30 2005 232789023 0 40 2005 2379414 0 50 2005 17589971 0 60 2005 41761823 0 10 2008 4360953 0 20 2008 777741625 0 30 2008 239970467 0 40 2008 2452818 0 50 2008 18132614 0 60 2008 43050158 0 10 2015 4886159 0 20 2015 871407965 0 30 2015 268871010 0 40 2015 2748220 0 50 2015 20316393 0 60 2015 48234849 0 10 2022 5576852 0 20 2022 994587493 0 30 2022 306877783 0 40 2022 3136699 0 50 2022 23188256 0 60 2022 55053178 0APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-28

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 12. Kentucky Area Annual VMT by HPMS Vehicle Class HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 4089356 0 20 2005 341756317 0 30 2005 99443539 0 40 2005 4446556 0 50 2005 23236805 0 60 2005 47017859 0 10 2008 3883519 0 20 2008 330674222 0 30 2008 94738580 0 40 2008 4340952 0 50 2008 22324145 0 60 2008 47661382 0 10 2015 4175112 0 20 2015 355212826 0 30 2015 102229743 0 40 2015 4717645 0 50 2015 24149076 0 60 2015 51635189 0 10 2022 4477945 0 20 2022 387223488 0 30 2022 111097489 0 40 2022 5265797 0 50 2022 26351915 0 60 2022 59200492 0


### Daily VMT Fraction The EPA conversion tool for Annual Average Weekday Vehicles Miles Traveled was used to determine the daily VMT fraction for each analysis year. The daily VMT fractions were the same over all analysis years and areas, months of the year, and vehicle source types. DayIDs are included, indicating either weekday (dayID = 5) or weekend (dayID = 2) analysis. An excerpt of the table developed for the daily VMT fraction is shown as Table 13

. Table 13. Daily VMT Fractions, All Scenarios sourcetypeID monthID roadtypeID dayID dayVMTFraction

11 4 1 2.0 0.237635 11 4 1 5.0 0.762365 11 4 2 2.0 0.237635 11 4 2 5.0 0.762365 11 4 3 2.0 0.237635 11 4 3 5.0 0.762365 11 4 4 2.0 0.237635 11 4 4 5.0 0.762365 11 4 5 2.0 0.237635 11 4 5 5.0 0.762365APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-29

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Monthly VMT Fraction The EPA conversion tool for Annual Average Weekday Vehicles Miles Traveled was used to determine the monthly VMT fraction for each analysis year. The monthly VMT fractions are the same over each geographic area and vehicle source type. Monthly VMT fractions for 2005, 2015, and 2022 are all the same. Since 2008 is a leap year, the monthly VMT fractions are slightly different. For the month of April, the monthly VMT fraction is approximately 0.082098 for 2008, and 0.082302 for 2005, 2015, and 2022.
Hourly VMT Fraction For Ohio and West Virginia, ODOT provided information for the hourly VMT fraction. This information consisted of hour of the day fractions for four roadway types (rural restricted, rural unrestricted, urban restricted, and urban unrestricted). This information was divided further for cars and trucks. To translate this information into the format needed for MOVES, a few assumptions were made. First, the default mix of off-network hourly distribution percentages was used for all vehicle classes. Second, the hourly distribution percentages for cars and trucks were separated into appropriate MOVES vehicle classes. The data for cars was used for vehicle types 11 (motorcycle), 21 (passenger car), 31 (passenger truck), and 32 (light commercial truck). The data for trucks was used for vehicle types 41 (intercity bus), 42 (transit bus), 43 (school bus), 51 (refuse truck), 52 (single unitshort-haul truck), 53 (single unit long-haul truck), 54 (motor home), 61 (combination shorthaul truck), and 62 (combination long-haul truck).
Data was obtained for hourly VMT fractions in the Kentucky portion of the study area from the Kentucky Transportation Cabinet. Classification count data for District 9 was obtained that included 24-hour count data over a wide spectrum of roadway functional classes. This data was available by the FHWA Vehicle Class categorizations. To translate this information into the format needed for MOVES, a few assumptions were made. First, the default mix of off-network hourly distribution percentages was used for all vehicle classes. Second, the hourly distribution percentages for the FHWA Vehicle Classes were separated into their appropriate MOVES vehicle classes. Since the Boyd and Lawrence County areas being modeled do not contain any roadway facilities that would be designated as Urban Restricted, default data was also used for this class.
Due to the large file size for these hourly distributions, the full input data sets are not shown here. Table 14shows an excerpt of the hourly distribution data from the West Virginia area in 2005.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-30

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 14. Excerpt of Hourly VMT Fractions, West Virginia Area, 2005 sourceTypeID roadTypeID dayID hourID hourVMTFraction

11 1 5 1 0.009862 11 1 5 2 0.006272 11 1 5 3 0.005058 11 1 5 4 0.004667 11 1 5 5 0.006995 11 1 5 6 0.018494 11 1 5 7 0.045957 11 1 5 8 0.069644 11 1 5 9 0.060828 11 1 5 10 0.050286 11 1 5 11 0.049935 11 1 5 12 0.054365 11 1 5 13 0.057646 11 1 5 14 0.058032 11 1 5 15 0.062255 11 1 5 16 0.071005 11 1 5 17 0.076973 11 1 5 18 0.077432 11 1 5 19 0.059783 11 1 5 20 0.044392 11 1 5 21 0.035446 11 1 5 22 0.031824 11 1 5 23 0.024942 11 1 5 24 0.017907



### 2.5 Average Speed Distribution Importer This importer gives the user the opportunity to enter locally specific average speed data, disaggregated by vehicle source type, road type, weekday/weekend, and hour of the day. The MOVES model uses 16 speed bins, dividing speed distributions into a fraction of driving within each speed bin for each of the criteria listed previously. The Protocol Report indicated local data would be used for this analysis. Based on consultation with ODOT, default data was used instead.

2.6 Road Type Distribution Importer The road type distribution importer can be used to incorporate locally-specific roadway distribution information. Road type distribution information for this analysis was obtained from ODOT. This information was collected using 2009 HPMS data for Lawrence and Scioto Counties in Ohio and Cabell and Wayne Counties in West Virginia. This information was then cleaned and organized for conversion into the five MOVES roadway types. It is assumed that the data gathered for the four counties is representative not only of the partial county areas within West Virginia and Ohio, but also of Boyd and Lawrence Counties in Kentucky. Road type distributions were assumed to be the same for all analysis areas, analysis years, and vehicle source types. An excerpt of the road type distribution information is provided in Table 15

.APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-31

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area source TypeID road

TypeID roadType

VMTFraction 11 1 0 11 2 0.18 11 3 0.42 11 4 0.12 11 5 0.28 21 1 0 21 2 0.18 21 3 0.42 21 4 0.12 21 5 0.28 31 1 0 31 2 0.18 31 3 0.42 31 4 0.12 31 5 0.28 32 1 0 32 2 0.18 32 3 0.42 32 4 0.12 32 5 0.28 41 1 0 41 2 0.18 41 3 0.42 41 4 0.12 41 5 0.28 42 1 0 42 2 0.18 42 3 0.42 42 4 0.12 42 5 0.28 43 1 0 43 2 0.18 43 3 0.42 43 4 0.12 43 5 0.28 source TypeID road

TypeID roadType

VMTFraction 51 1 0 51 2 0.18 51 3 0.42 51 4 0.12 51 5 0.28 52 1 0 52 2 0.18 52 3 0.42 52 4 0.12 52 5 0.28 53 1 0 53 2 0.18 53 3 0.42 53 4 0.12 53 5 0.28 54 1 0 54 2 0.18 54 3 0.42 54 4 0.12 54 5 0.28 61 1 0 61 2 0.18 61 3 0.42 61 4 0.12 61 5 0.28 62 1 0 62 2 0.18 62 3 0.42 62 4 0.12 62 5 0.28 

### Table 15. Excerpt of Road Type Distribution DataAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-32

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area Year roadTypeID rampFraction 2005 2 0.085 2005 4 0.085 2008 2 0.087 2008 4 0.087 2015 2 0.092 2015 4 0.092 2022 2 0.097 2022 4 0.097 Year roadTypeID rampFraction 2005 2 0.085 2005 4 0.085 2008 2 0.081 2008 4 0.081 2015 2 0.085 2015 4 0.085 2022 2 0.093 2022 4 0.093

Year roadTypeID rampFraction 2005 2 0.056 2005 4 0.056 2008 2 0.056 2008 4 0.056 2015 2 0.056 2015 4 0.056 2022 2 0.056 2022 4 0.056 

### 2.7 Ramp Fraction Importer This importer allows the user to input the percentage of traffic on urban restricted and rural restricted roadways that is traveling on ramp facilities. The Protocol Report indicated that ramp fractions would need to be considered outside of MOVES due to model limitations. However, the MOVES2010a platform addresses these limitations, thereby allowing ramps to be considered within the model. To determine this factor, data was obtained from both the KYOVA Regional Travel Demand Model as well as the Ashland Regional Travel Demand Model for their respective parts of the study area. Lawrence County, OH data from the travel demand model was used to represent all of the Ohio area. Information from Cabell and Wayne Counties, WV was summed to determine the overall percentage for the West Virginia area. These numbers were determined using VHT information forecasted in each of the analysis years. Tables 16 and 17 show the ramp fractions for West Virginia and Ohio, respectively.
Information obtained from Boyd County was used to represent all of the Kentucky area. Since the portion of Lawrence County, KY being modeled does not contain any restricted access facilities, the information from Boyd accurately represents the entire area. A ramp fraction of 5.6% was applied for this area, pulled from the data gathered for previous Mobile6 runs in the area. This fraction was applied to all study years. Table 18 shows the ramp fractions for Kentucky.
Table 16. West Virginia Ramp Fractions Table 17. Ohio Ramp Fractions

Table 18. Kentucky Ramp FractionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-33

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV 99001 2005 4 5661 0.03 0.5 99001 2005 4 6099 0.1658 0.5 99001 2005 4 4950 0.8042 0.5 99001 2005 4 20311 1 0.5 99001 2008 4 2451 0.428571 0.5 99001 2008 4 7852 0.571429 0.5 99001 2008 4 20043 1 0.5 99001 2012 4 3930 1 0.5 99001 2012 4 20011 1 0.5 

### 2.8 Fuel Formulation and Fuel Supply Importer The fuel formulation and fuel supply importers are used to input locally-specific fuel properties into the model. The Protocol Report stated that default information would be used for this category. Default files were used for fuel supply for WV and OH, while default files were used for fuel formulation in all three states. The availability of locally-specific fuel supply data for Kentucky resulted in a customized file for that area. Since default files are created specific to county, separate default files were used to obtain the needed information for Kentucky, Ohio, and West Virginia. The West Virginia default file was from Cabell County, assumed for this analysis as representative of the entire WV analysis area. The Ohio default file was from Lawrence County, assumed for this analysis as representative of the entire OH analysis area. One modification was made to the 2005 fuel supply, changing the fuel formulation ID from 20317 to 20311. This provided the proper sulfur content reference for 2005. The other years had accurate sulfur content information in their default file. Direction for this modification came from ODOT. The Kentucky default file for fuel formulation was from Boyd County. The Kentucky Division for Air Quality supplied fuel supply information for the Kentucky portion of the analysis area. Data provided was for 2008, but is also expected to appropriately represent the fuel supply conditions in 2005, 2015, and 2022. As referenced above, the Kentucky default file developed using Boyd County information was used to develop fuel supply data for all model years. Tables 19-21 provide the fuel supply information used for West Virginia, Ohio, and Kentucky, respectively. Since default fuel formulation data was used for all areas, that information is not displayed within this report.
Table 19. West Virginia Fuel Supply Data (same beginning in 2012)APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-34

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV 99002 2005 4 6146 0.102668 0.5 99002 2005 4 1060 0.247235 0.5 99002 2005 4 5010 0.650096 0.5 99002 2005 4 20311 1 0.5 99002 2008 4 7775 0.432171 0.5 99002 2008 4 2380 0.567829 0.5 99002 2008 4 20043 1 0.5 99002 2012 4 3883 1 0.5 99002 2012 4 20011 1 0.5 

### Table 20. Ohio Fuel Supply Data (same beginning in 2012)

Table 21. Kentucky Fuel Supply Data (same for all years) countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV 99003 2005 4 20043 1 0.5 99003 2005 4 2337 0.428571 0.5 99003 2005 4 7736 0.571429 0.5



### 2.9 Inspection and Maintenance (I/M) Importer This importer would allow local inspection and maintenance data to be entered for the study area. The Huntington-Ironton-Ashland non-attainment area has no I/M program in place. When default data is exported for this, the file indicates there are no I/M programs in place for the area. Since this is an accurate representation of the I/M program in the area, no further data was entered.

2.10 Zone Road Activity Importer This importer is required for use if the geographic area has been generated using the Custom Domain option. The default file for zone road activity was exported for use in this category, and was then modified to reflect the custom domain numbers established earlier in the MOVES run. Tables 22-24show the zone road activity data entered for West Virginia, Ohio, and Kentucky, respectively. Values for zone road activity data are the same for all analysis years.
Table 22. West Virginia Zone Road Activity Data zoneID roadTypeID SHOAllocFactor 990010 1 1 990010 2 1 990010 3 1 990010 4 1 990010 5 1APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-35

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 23. Ohio Zone Road Activity Data zoneID roadTypeID SHOAllocFactor 990020 1 1 990020 2 1 990020 3 1 990020 4 1 990020 5 1


### Table 24. Kentucky Zone Road Activity Data zoneID roadTypeID SHOAllocFactor 990030 1 1 990030 2 1 990030 3 1 990030 4 1 990030 5 1



### 3.0 Post-Processing of MOVES Output Once the appropriate data was input into the MOVES Runspecs and the County Data Manager, the 12 scenarios were run using the MOVES program. The following MOVES output databases were produced:

x westvirginia_2005_out2

x westvirginia_2008_out2

x westvirginia_2015_out2

x westvirginia_2022_out2 x ohio_2005_out2

x ohio_2008_out2

x ohio_2015_out2

x ohio_2022_out2 x kentucky_2005_out2

x kentucky_2008_out2

x kentucky_2015_out2

x kentucky_2022_out2
Since the emission rates method was used for this analysis, only two tables within each output database are used. The tables are called rateperdistance and ratepervehicle. Ultimately, information from both tables will be used to determine overall emissions, aggregating the information for the running emissions (rateperdistance) and idling emissions (ratepervehicle). The rateperdistance table for each output database contains 299,520 records, while the ratepervehicle table for each output database contains 4,056 records.
The rateperdistance and ratepervehicle tables all represent scenarios for one geographic area (West Virginia, Ohio, or Kentucky), one analysis year (2005, 2008, 2015, or 2022), one month (April), and one day type (weekdays). Results within the rateperdistance tables are disaggregated by hour of the day, pollutant type, process type, vehicle source type, roadway type, and speed category. Temperature and relative humidity data vary by the hour of the day. Results within the ratepervehicle tables are disaggregated by hour of the day, pollutant type, process type, and vehicle source type. Temperature data within these tables varies by the hour of the day.
The final output desired for this analysis summarizes the total emissions by pollutant type for each analysis year and geographic area. As a result, the information contained in each scenario’s rateperdistance and ratepervehicle has to be matched with corresponding vehicle miles traveled (VMT) and source population data. To do this, a set of supporting tables were created that match these criteria with information contained in the rateperdistance andAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-36

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### ratepervehicle tables such as vehicle source types, road types, speed categories, and hour of the day. The creation of those tables and the process used to calculate total emissions are detailed in the subsequent sections.

3.1 VMT and Source Type by County This table displays the daily and annual VMTs and the source type population for all of the counties and analysis years in this effort. The daily VMTs were pulled for each area from the spreadsheets used to develop the HPMS vehicle type VMTs. Annual VMTs for each county were determined using the EPA converter spreadsheet. Source types for each state’s area were broken out by county, and then forecasted for each analysis year using the 0.8% growth rate established in the Protocol Report. Table 25 shows the VMT and source type population information for each county and analysis year.

3.2 Source Type Population Fraction and VMT Fraction This table separates the vehicle population into the different source types, and then determines the fraction of the population represented in each type as well as the fraction of total VMT represented in each type. The source type populations were pulled from the local data used for the MOVES runs. Within the MOVES format, VMTs were gathered by the six HPMS vehicle classes rather than the 13 MOVES source types. As a result, a translation was needed to match up the appropriate HPMS vehicle classes with the MOVES source types. One the two classification types were matched to one another, the source type fractions established based on the vehicle populations were used to factor VMTs of different source type classifications that fell within the same HPMS vehicle class. Table 26 shows the source type population fractions and VMT fractions for each state’s area and the four analysis years.

3.3 Hourly Distribution Fractions This table provides the hourly VMT fractions, separated out by source type, road type, hour of the day, and state. Hourly distribution fractions were pulled from the table created for use in the MOVES program. Distribution fractions remain consistent for all analysis years. Due to the size of the input table, only an excerpt of this information is shown in the body of this report. Table 27 shows the hourly distribution fractions for each of the three states for vehicle source type 21 (passenger cars) and roadway type 2 (rural restricted access).

3.4 Road Type Distribution Fractions This table provides the road type VMT fractions separated by vehicle source types. Road type fractions were pulled directly from the MOVES input file developed earlier. It should be noted that road type distribution fractions have been assumed to be equal for all geographic areas of this study. Table 28 shows the road type distribution fractions.

3.5 Average Speed Distribution Fractions This table provides the average speed fraction sorted by source type, road type, hour of the day, and speed class. This file is the same as the MOVES input file used earlier in this analysis. As stated previously, the same average speed distribution is used for each geographic area. Due to the size of the input table, only an excerpt of this information is shown in the body of the report. Table 29 shows the average speed distribution fractions for vehicle source type 21 (passenger cars), road type 3 (rural unrestricted access), and hour 1 (hour beginning at midnight).APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-37

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 25. VMT and Source Type Population by County and Year County State Full/Partial Year Daily VMT Annual VMT Source Type Pop Cabell WV Full 2005 2,808,750 960,538,915 73,091 Cabell WV Full 2008 2,885,502 989,243,546 74,874 Cabell WV Full 2015 3,096,762 1,059,033,672 79,033 Cabell WV Full 2022 3,336,065 1,140,870,563 83,193 Wayne WV Full 2005 1,139,180 389,577,827 25,446 Wayne WV Full 2008 1,187,259 407,030,689 26,067 Wayne WV Full 2015 1,241,619 424,609,965 27,515 Wayne WV Full 2022 1,560,054 533,508,781 28,963 Mason WV Partial 2005 18,060 6,176,333 2,244 Mason WV Partial 2008 19,665 6,741,932 2,299 Mason WV Partial 2015 23,410 8,005,850 2,427 Mason WV Partial 2022 27,155 9,286,512 2,555 Lawrence OH Full 2005 1,315,020 449,711,752 72,392 Lawrence OH Full 2008 1,334,081 457,366,121 74,172 Lawrence OH Full 2015 1,470,988 503,049,909 78,325 Lawrence OH Full 2022 1,742,638 595,949,049 82,480 Scioto OH Full 2005 1,616,940 552,962,632 88,852 Scioto OH Full 2008 1,678,238 575,354,151 91,039 Scioto OH Full 2015 1,915,776 655,158,989 96,136 Scioto OH Full 2022 2,131,162 728,816,580 101,235 Adams OH Partial 2005 99,565 34,049,176 2,098 Adams OH Partial 2008 103,978 35,647,156 2,150 Adams OH Partial 2015 114,277 39,080,671 2,270 Adams OH Partial 2022 124,576 42,602,717 2,391 Gallia OH Partial 2005 48,230 16,493,759 1,021 Gallia OH Partial 2008 50,582 17,341,207 1,046 Gallia OH Partial 2015 56,070 19,175,027 1,105 Gallia OH Partial 2022 61,559 21,051,915 1,163 Boyd KY Full 2005 1,429,198 488,758,339 49,199 Boyd KY Full 2008 1,380,484 473,274,668 50,429 Boyd KY Full 2015 1,494,083 510,947,840 53,299 Boyd KY Full 2022 1,640,241 560,930,984 56,169 Lawrence KY Partial 2005 91,327 31,232,092 3,070 Lawrence KY Partial 2008 88,522 30,348,132 3,147 Lawrence KY Partial 2015 91,151 31,171,751 3,326 Lawrence KY Partial 2022 95,579 32,686,140 3,505APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-38

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 26. Source Type Population Fractions and VMT Fractions by State and Year

State Source Type Source Type ID Source Type

Population Source Type

Fraction Source Type

VMT Fraction WV Motorcycle 11 2779 0.02757 0.00555 WV Passenger Car 21 43487 0.43150 0.71294 WV Passenger Truck 31 42860 0.42528 0.14593 WV Light Commercial Truck 32 6975 0.06921 0.02375 WV Intercity Bus 41 61 0.00061 0.00126 WV Transit Bus 42 33 0.00033 0.00069 WV School Bus 43 234 0.00232 0.00481 WV Refuse Truck 51 42 0.00042 0.00052 WV Single Unit Short-haul Truck 52 2535 0.02515 0.03110 WV Single Unit Long-haul Truck 53 289 0.00287 0.00355 WV Motor Home 54 125 0.00124 0.00154 WV Combination Short-haul Truck 61 644 0.00639 0.03240 WV Combination Long-haul Truck 62 715 0.00709 0.03596 OH Motorcycle 11 10638 0.06336 0.00402 OH Passenger Car 21 103050 0.61373 0.71634 OH Passenger Truck 31 46653 0.27785 0.21575 OH Light Commercial Truck 32 1140 0.00679 0.00527 OH Intercity Bus 41 32 0.00019 0.00014 OH Transit Bus 42 3 0.00002 0.00001 OH School Bus 43 474 0.00282 0.00210 OH Refuse Truck 51 20 0.00012 0.00006 OH Single Unit Short-haul Truck 52 362 0.00216 0.00112 OH Single Unit Long-haul Truck 53 120 0.00071 0.00037 OH Motor Home 54 4885 0.02909 0.01514 OH Combination Short-haul Truck 61 248 0.00148 0.01848 OH Combination Long-haul Truck 62 284 0.00169 0.02117 KY Motorcycle 11 2222 0.04252 0.00786 KY Passenger Car 21 25145 0.48106 0.65724 KY Passenger Truck 31 18687 0.35751 0.14690 KY Light Commercial Truck 32 5640 0.10790 0.04434 KY Intercity Bus 41 9 0.00017 0.00095 KY Transit Bus 42 27 0.00051 0.00285 KY School Bus 43 45 0.00085 0.00475 KY Refuse Truck 51 7 0.00014 0.00118 KY Single Unit Short-haul Truck 52 229 0.00438 0.03698 KY Single Unit Long-haul Truck 53 16 0.00030 0.00253 KY Motor Home 54 25 0.00047 0.00399 KY Combination Short-haul Truck 61 121 0.00231 0.04992 KY Combination Long-haul Truck 62 98 0.00187 0.04050 2005APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-39

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area State Source Type Source Type ID Source Type

Population Source Type

Fraction Source Type

VMT Fraction WV Motorcycle 11 2847 0.02757 0.00555 WV Passenger Car 21 44548 0.43150 0.71294 WV Passenger Truck 31 43905 0.42528 0.14593 WV Light Commercial Truck 32 7146 0.06921 0.02375 WV Intercity Bus 41 63 0.00061 0.00126 WV Transit Bus 42 34 0.00033 0.00069 WV School Bus 43 240 0.00232 0.00481 WV Refuse Truck 51 43 0.00042 0.00052 WV Single Unit Short-haul Truck 52 2597 0.02515 0.03110 WV Single Unit Long-haul Truck 53 296 0.00287 0.00355 WV Motor Home 54 128 0.00124 0.00154 WV Combination Short-haul Truck 61 660 0.00639 0.03240 WV Combination Long-haul Truck 62 732 0.00709 0.03596 OH Motorcycle 11 10899 0.06335 0.00402 OH Passenger Car 21 105584 0.61373 0.71634 OH Passenger Truck 31 47800 0.27785 0.21575 OH Light Commercial Truck 32 1168 0.00679 0.00527 OH Intercity Bus 41 33 0.00019 0.00014 OH Transit Bus 42 3 0.00002 0.00001 OH School Bus 43 486 0.00282 0.00210 OH Refuse Truck 51 20 0.00012 0.00006 OH Single Unit Short-haul Truck 52 371 0.00216 0.00112 OH Single Unit Long-haul Truck 53 123 0.00071 0.00037 OH Motor Home 54 5005 0.02909 0.01515 OH Combination Short-haul Truck 61 254 0.00148 0.01848 OH Combination Long-haul Truck 62 291 0.00169 0.02117 KY Motorcycle 11 2278 0.04252 0.00771 KY Passenger Car 21 25773 0.48106 0.65659 KY Passenger Truck 31 19154 0.35751 0.14450 KY Light Commercial Truck 32 5781 0.10790 0.04361 KY Intercity Bus 41 9 0.00017 0.00096 KY Transit Bus 42 27 0.00051 0.00287 KY School Bus 43 46 0.00085 0.00479 KY Refuse Truck 51 7 0.00014 0.00117 KY Single Unit Short-haul Truck 52 234 0.00438 0.03669 KY Single Unit Long-haul Truck 53 16 0.00030 0.00251 KY Motor Home 54 25 0.00047 0.00396 KY Combination Short-haul Truck 61 124 0.00231 0.05225 KY Combination Long-haul Truck 62 100 0.00187 0.04239 2008APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-40

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area State Source Type Source Type ID Source Type

Population Source Type

Fraction Source Type

VMT Fraction WV Motorcycle 11 3005 0.02757 0.00555 WV Passenger Car 21 47023 0.43150 0.71294 WV Passenger Truck 31 46345 0.42528 0.14593 WV Light Commercial Truck 32 7543 0.06921 0.02375 WV Intercity Bus 41 66 0.00061 0.00126 WV Transit Bus 42 36 0.00033 0.00069 WV School Bus 43 253 0.00232 0.00481 WV Refuse Truck 51 46 0.00042 0.00052 WV Single Unit Short-haul Truck 52 2741 0.02515 0.03110 WV Single Unit Long-haul Truck 53 313 0.00287 0.00355 WV Motor Home 54 136 0.00124 0.00154 WV Combination Short-haul Truck 61 697 0.00639 0.03240 WV Combination Long-haul Truck 62 773 0.00709 0.03596 OH Motorcycle 11 11510 0.06336 0.00402 OH Passenger Car 21 111497 0.61373 0.71634 OH Passenger Truck 31 50477 0.27785 0.21576 OH Light Commercial Truck 32 1233 0.00679 0.00527 OH Intercity Bus 41 34 0.00019 0.00014 OH Transit Bus 42 3 0.00002 0.00001 OH School Bus 43 513 0.00282 0.00211 OH Refuse Truck 51 22 0.00012 0.00006 OH Single Unit Short-haul Truck 52 392 0.00216 0.00112 OH Single Unit Long-haul Truck 53 130 0.00072 0.00037 OH Motor Home 54 5285 0.02909 0.01514 OH Combination Short-haul Truck 61 268 0.00148 0.01845 OH Combination Long-haul Truck 62 308 0.00170 0.02120 KY Motorcycle 11 2408 0.04252 0.00770 KY Passenger Car 21 27240 0.48106 0.65523 KY Passenger Truck 31 20244 0.35751 0.14485 KY Light Commercial Truck 32 6110 0.10790 0.04372 KY Intercity Bus 41 10 0.00017 0.00097 KY Transit Bus 42 29 0.00051 0.00290 KY School Bus 43 48 0.00085 0.00483 KY Refuse Truck 51 8 0.00014 0.00118 KY Single Unit Short-haul Truck 52 248 0.00438 0.03687 KY Single Unit Long-haul Truck 53 17 0.00030 0.00252 KY Motor Home 54 27 0.00047 0.00398 KY Combination Short-haul Truck 61 131 0.00231 0.05259 KY Combination Long-haul Truck 62 106 0.00187 0.04266 2015APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-41

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area State Source Type Source Type ID Source Type

Population Source Type

Fraction Source Type

VMT Fraction WV Motorcycle 11 3163 0.02757 0.00555 WV Passenger Car 21 49497 0.43150 0.71294 WV Passenger Truck 31 48784 0.42528 0.14593 WV Light Commercial Truck 32 7940 0.06921 0.02375 WV Intercity Bus 41 70 0.00061 0.00126 WV Transit Bus 42 38 0.00033 0.00069 WV School Bus 43 266 0.00232 0.00481 WV Refuse Truck 51 48 0.00042 0.00052 WV Single Unit Short-haul Truck 52 2885 0.02515 0.03110 WV Single Unit Long-haul Truck 53 329 0.00287 0.00355 WV Motor Home 54 143 0.00124 0.00154 WV Combination Short-haul Truck 61 733 0.00639 0.03240 WV Combination Long-haul Truck 62 814 0.00709 0.03596 OH Motorcycle 11 12120 0.06335 0.00402 OH Passenger Car 21 117410 0.61373 0.71634 OH Passenger Truck 31 53154 0.27785 0.21576 OH Light Commercial Truck 32 1298 0.00678 0.00527 OH Intercity Bus 41 36 0.00019 0.00014 OH Transit Bus 42 3 0.00002 0.00001 OH School Bus 43 540 0.00282 0.00211 OH Refuse Truck 51 23 0.00012 0.00006 OH Single Unit Short-haul Truck 52 412 0.00215 0.00112 OH Single Unit Long-haul Truck 53 137 0.00072 0.00037 OH Motor Home 54 5566 0.02909 0.01514 OH Combination Short-haul Truck 61 282 0.00147 0.01845 OH Combination Long-haul Truck 62 324 0.00169 0.02120 KY Motorcycle 11 2537 0.04252 0.00754 KY Passenger Car 21 28707 0.48106 0.65231 KY Passenger Truck 31 21334 0.35751 0.14376 KY Light Commercial Truck 32 6439 0.10790 0.04339 KY Intercity Bus 41 10 0.00017 0.00099 KY Transit Bus 42 31 0.00051 0.00296 KY School Bus 43 51 0.00085 0.00493 KY Refuse Truck 51 8 0.00014 0.00118 KY Single Unit Short-haul Truck 52 261 0.00438 0.03674 KY Single Unit Long-haul Truck 53 18 0.00030 0.00251 KY Motor Home 54 28 0.00047 0.00397 KY Combination Short-haul Truck 61 138 0.00231 0.05506 KY Combination Long-haul Truck 62 112 0.00187 0.04467 2022APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-42

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 27. Excerpt of Hourly Distribution Fractions by State WV OH KY Source Type ID Road

Type ID Hour ID Hour VMT

Fraction Hour VMT

Fraction Hour VMT

Fraction 21 2 1 0.00890 0.00890 0.00942 21 2 2 0.00564 0.00564 0.00760 21 2 3 0.00424 0.00424 0.00600 21 2 4 0.00427 0.00427 0.00691 21 2 5 0.00695 0.00695 0.01320 21 2 6 0.01798 0.01798 0.02545 21 2 7 0.03806 0.03806 0.04436 21 2 8 0.05700 0.05700 0.05558 21 2 9 0.05773 0.05773 0.05484 21 2 10 0.05538 0.05538 0.05294 21 2 11 0.05554 0.05554 0.05365 21 2 12 0.05558 0.05558 0.05484 21 2 13 0.05584 0.05584 0.05766 21 2 14 0.06051 0.06051 0.06160 21 2 15 0.06765 0.06765 0.07013 21 2 16 0.07755 0.07755 0.07870 21 2 17 0.08428 0.08428 0.08010 21 2 18 0.07970 0.07970 0.07385 21 2 19 0.06012 0.06012 0.05386 21 2 20 0.04522 0.04522 0.04211 21 2 21 0.03646 0.03646 0.03548 21 2 22 0.02912 0.02912 0.02902 21 2 23 0.02142 0.02142 0.01944 21 2 24 0.01486 0.01486 0.01325APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-43

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area Source Type ID Road

Type ID Road Type

VMT Fraction 11 1 0 11 2 0.18 11 3 0.42 11 4 0.12 11 5 0.28 21 1 0 21 2 0.18 21 3 0.42 21 4 0.12 21 5 0.28 31 1 0 31 2 0.18 31 3 0.42 31 4 0.12 31 5 0.28 32 1 0 32 2 0.18 32 3 0.42 32 4 0.12 32 5 0.28 41 1 0 41 2 0.18 41 3 0.42 41 4 0.12 41 5 0.28 42 1 0 42 2 0.18 42 3 0.42 42 4 0.12 42 5 0.28 43 1 0 43 2 0.18 43 3 0.42 43 4 0.12 43 5 0.28 Source Type ID Road

Type ID Road Type

VMT Fraction 51 1 0 51 2 0.18 51 3 0.42 51 4 0.12 51 5 0.28 52 1 0 52 2 0.18 52 3 0.42 52 4 0.12 52 5 0.28 53 1 0 53 2 0.18 53 3 0.42 53 4 0.12 53 5 0.28 54 1 0 54 2 0.18 54 3 0.42 54 4 0.12 54 5 0.28 61 1 0 61 2 0.18 61 3 0.42 61 4 0.12 61 5 0.28 62 1 0 62 2 0.18 62 3 0.42 62 4 0.12 62 5 0.28 

### Table 28. Road Type Distribution FractionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-44

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### Table 29. Excerpt of Average Speed Distribution Fractions Source Type ID Road

Type ID Hour ID Average

Speed Bin ID Average Speed

Fraction 21 3 1 1 0.00226828 21 3 1 2 0.0105519 21 3 1 3 0.0170857 21 3 1 4 0.0381731 21 3 1 5 0.0460688 21 3 1 6 0.0245757 21 3 1 7 0.0420755 21 3 1 8 0.0564427 21 3 1 9 0.164311 21 3 1 10 0.157075 21 3 1 11 0.171162 21 3 1 12 0.10283 21 3 1 13 0.0851272 21 3 1 14 0.0441349 21 3 1 15 0.0286281 21 3 1 16 0.00948987



### 3.6 Aggregation Tables Once the supporting tables were created, the information within them needed to be combined in a way that matched the independent variables shown in the rateperdistance and ratepervehicle tables. Due to the large number of records and computations required to perform this exercise, some sort of advanced database and/or scripting tool was necessary. Since the KYOVA Regional Travel Demand Model is in the process of being converted to the TransCAD platform, it was determined that a programming script developed and run in TransCAD would be an effective way to summarize this information.
In an effort to create a step within this scripting process that could later be referenced and checked, two intermediate tables were developed. The tables developed were designated as the VMT Summary Table and the Source Type Population Summary Table. Each table’s intent and composition is described below, along with an example of the information produced within the tables.
VMT Summary Table The VMT Summary Table contains many of the same independent variables found in the rateperdistance output tables; namely, state, analysis year, source type, road type, hour of the day, and average speed bin. This table further divides the information by the individual counties in the analysis. The intent of this table is to determine the proportion of daily and annual VMT for a given county and analysis year that is represented within each combination of vehicle source type, road type, hour of the day, and speed category. This table references the source type VMT fraction generated in the Source Type Population Fraction and VMT Fraction table, the road type VMT fraction generated in the Road Type Distribution table, the hour VMT fraction generated in the Hourly Distribution FractionsAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-45

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area 

### table, and the average speed fraction from the Average Speed Distribution Fraction table. These four values are multiplied together to determine an overall fraction, which is then multiplied by the corresponding daily and annual VMT established in the VMT and Source Type table. When the daily VMT proportions and annual VMT proportions are summed for a particular county and analysis year combination, they will equal the corresponding VMT values shown in the VMT and Source Type table.
Source Type Population Summary Table The Source Type Population Summary Table contains many of the same independent variables found in the ratepervehicle output tables; namely, state, analysis year, source type, road type, and hour of the day. This table further divides the information by the individual counties in the analysis. The intent of this table is to determine the proportion of the source type population for a given county and analysis year that is represented within each combination of vehicle source type, road type, and hour of the day. This table references the source type population fraction generated in the Source Type Population and VMT Fraction table and the hour VMT fraction generated in the Hourly Distribution Fractions table. These two values are multiplied together to get an overall fraction, which is then multiplied by the corresponding source type population information found in the VMT and Source Type table. The population proportion, when summed for a particular county and analysis year combination, should be equal to the corresponding source type population value shown in the VMT and Source Type table.

3.7 Summarizing Results As mentioned in the previous section, a TransCAD script was developed to quickly match the information in the rateperdistance and ratepervehicle tables with corresponding VMT and source type population information. This script also summed the matched information by county, analysis year, and pollutant type to create the final output format needed for this process. The script created for this process is included as Figure 1below. Results from this script are produced in a form that is easily formatted to show the overall emissions information contained in the main body of this report.
Figure 1. TransCAD Script for Post-Processing MOVES Output

macro "KYOVA MOVES PP" runmacro("G30 File Close All")

//constants States = {"WV", "OH", "KY"} Counties = {"Cabell_WV", "Wayne_WV", "Mason_WV", "Lawrence_OH", "Scioto_OH", "Adams_OH", "Gallia_OH","Boyd_KY", "Lawrence_KY"}
Years = {2005, 2008, 2015, 2022} SourceTypes = {11,21,31,32,41,42,43,51,52,53,54,61,62} RoadTypes = {1,2,3,4,5} Hours = {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24} Speeds = {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16} Pollutants = {3,31,110,111,112,115,116,117} Pollutant_Names = {"Oxides of Nitrogen (NOx)",

"Sulfur Dioxide (SO2)", "Primary Exhaust PM2.5 - Total",APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-46

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area "Primary PM2.5 - Organic Carbon", "Primary PM2.5 - Elemental Carbon", "Primary PM2.5 - Sulfate Particulate", "Primary PM2.5 - Brakewear Particulate", "Primary PM2.5 - Tirewear Particulate"}
path = SplitPath(GetInterface())
in_vmt_bin = path[1]+path[2]+"VMT Source Type By County.bin" in_source_type_bin = path[1]+path[2]+"Source Type Pop VMT Fraction.bin" in_hourly_bin = path[1]+path[2]+"Hourly Distribution Fractions.bin" in_road_type_bin = path[1]+path[2]+"Road Type Distribution.bin" in_speed_bin = path[1]+path[2]+"Average Speed Distribution.bin"
out_vmt_summary = path[1]+path[2]+"Summary_VMT.bin" out_veh_summary = path[1]+path[2]+"Summary_VEHICLE.bin" out_em_vmt_summary = path[1]+path[2]+"Summary_VMT_County.bin" out_em_veh_summary = path[1]+path[2]+"Summary_VEH_County.bin" out_em_total_summary = path[1]+path[2]+"Summary_Total_Emissions.bin"
CreateProgressBar("MOVES Post Processor.......", "TRUE") UpdateProgressBar("Computing fractions.......", 10)
///--------------------------------Summarize VMT, write results to summary table--------------------------------- vw_vmt =OpenTable("VMT", "FFB", {in_vmt_bin,}) vw_st =OpenTable("ST", "FFB", {in_source_type_bin,}) vw_hr =OpenTable("HR", "FFB", {in_hourly_bin,}) vw_rt =OpenTable("RT", "FFB", {in_road_type_bin,}) vw_spd =OpenTable("SPD", "FFB", {in_speed_bin,})
// ----------------primary keys //vw_vmt Year County State //vw_st Year State Source Type ID //vw_hr State Source Type ID Road Type ID Hour ID //vw_rt Source Type ID Road Type ID //vw_spd Source Type ID Road Type ID Hour ID Speed Bin ID //---------------- jv1 = JoinViewsMulti("JV1", {vw_vmt+".Year", vw_vmt+".State"}, {vw_st+".Year", vw_st+".State"}, {{"O", }}) jv2 = JoinViewsMulti("JV2", {jv1+"."+vw_vmt+".State", jv1+".[Source Type ID]"}, {vw_hr+".State", vw_hr+".[Source Type ID]"}, {{"O", }}) jv3 = JoinViewsMulti("JV3", {jv2+"."+vw_hr+".[Source Type ID]", jv2+".[Road Type ID]"}, {vw_rt+".[Source Type ID]", vw_rt+".[Road Type ID]"}, {{"O", }}) jv4 = JoinViewsMulti("JV4", {jv3+"."+vw_hr+".[Source Type ID]", jv3+"."+vw_hr+".[Road Type ID]", jv3+".[Hour ID]"}, {vw_spd+".[Source Type ID]", vw_spd+".[Road Type ID]", vw_spd+".[Hour ID]"}, {{"O", }})

//-------------------VMT Table kept_fields = {jv4+"."+vw_vmt+".Year", jv4+".County", jv4+"."+vw_vmt+".State", jv4+".[Daily VMT]", jv4+".[Annual VMT]", jv4+"."+vw_st+".[Source Type ID]", jv4+".[Source Type VMT Fraction]",APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-47

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area jv4+"."+vw_hr+".[Road Type ID]", jv4+"."+vw_hr+".[Hour ID]", jv4+".[Hour VMT Fraction]", jv4+".[Road Type VMT Fraction]", jv4+".[Average Speed Bin ID]", jv4+".[Average Speed Fraction]" } idx_fields = {jv4+"."+vw_vmt+".Year", jv4+".County", jv4+"."+vw_vmt+".State", jv4+"."+vw_st+".[Source Type ID]", jv4+"."+vw_hr+".[Road Type ID]", jv4+"."+vw_hr+".[Hour ID]", jv4+".[Average Speed Bin ID]" } add_fields = {{"Combined Factor", "Real", 24,4,}, {"Daily VMT Proportion", "Real", 24,4,}, {"Annual VMT Proportion", "Real", 24,4,}, {"Aggregation_Key", "String", 32,0,}, {"Aggregation_Key_CTY", "String", 32,0,} } for p = 1 to Pollutants.length do add_fields = add_fields + {{"RatePerDist_"+i2s(Pollutants[p]), "Real", 24,4,},
{"Daily_Emission_RatePerDist_"+i2s(Pollutants[p]), "Real", 24,4,},
{"Annual_Emission_RatePerDist_"+i2s(Pollutants[p]), "Real", 24,4,}} end // SetView(jv4) // SelectByQuery("No_RT_1", "Several", "Select * where [Road Type ID] <> 1",)
ExportView(jv4+"|", "FFB", out_vmt_summary, kept_fields,{{"Additional Fields", add_fields},{"Indexed Fields",idx_fields}})
//-------------------Vehicle Pop Table kept_fields = {jv3+"."+vw_vmt+".Year", jv3+".County", jv3+"."+vw_vmt+".State", jv3+".[Source Type Pop]", jv3+"."+vw_st+".[Source Type ID]", jv3+".[Source Type Fraction]", jv3+"."+vw_hr+".[Road Type ID]", jv3+"."+vw_hr+".[Hour ID]", jv3+".[Hour VMT Fraction]" } idx_fields = {jv3+"."+vw_vmt+".Year", jv3+".County", jv3+"."+vw_vmt+".State", jv3+"."+vw_st+".[Source Type ID]", jv3+"."+vw_hr+".[Road Type ID]", jv3+"."+vw_hr+".[Hour ID]" } add_fields = {{"Combined Factor", "Real", 24,4,}, {"Population Proportion", "Real", 24,4,}, {"Aggregation_Key", "String", 32,0,}, {"Aggregation_Key_CTY", "String", 32,0,}APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-48

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area } for p = 1 to Pollutants.length do add_fields = add_fields + {{"RatePerVeh_"+i2s(Pollutants[p]), "Real", 24,4,},
{"Daily_Emission_RatePerVeh_"+i2s(Pollutants[p]), "Real", 24,4,},
{"Annual_Emission_RatePerVeh_"+i2s(Pollutants[p]), "Real", 24,4,}} end ExportView(jv3+"|", "FFB", out_veh_summary, kept_fields,{{"Additional Fields", add_fields}, {"Indexed Fields",idx_fields}})
CloseView(jv4) CloseView(jv3) CloseView(jv2) CloseView(jv1) CloseView(vw_vmt) CloseView(vw_st) CloseView(vw_hr) CloseView(vw_rt) CloseView(vw_spd)

//---------------------------VMT calculation UpdateProgressBar("Computing VMT.......", 20) order = {"Sort Order", {{"Year", "Ascending"},{"County", "Ascending"},{"State", "Ascending"},{"[Source Type ID]", "Ascending"},{"[Road Type ID]", "Ascending"},{"[Hour ID]", "Ascending"},{"[Average Speed Bin ID]", "Ascending"}}} vw_vmt =OpenTable("VMT", "FFB", {out_vmt_summary,})
st_frac = GetDataVector(vw_vmt+"|", "[Source Type VMT Fraction]",{order}) hr_frac = GetDataVector(vw_vmt+"|", "[Hour VMT Fraction]",{order}) rt_frac = GetDataVector(vw_vmt+"|", "[Road Type VMT Fraction]",{order}) spd_frac = GetDataVector(vw_vmt+"|", "[Average Speed Fraction]",{order})
combo_frac = st_frac * rt_frac * hr_frac * spd_frac SetDataVector(vw_vmt+"|", "[Combined Factor]", combo_frac,{order})
daily_vmt = GetDataVector(vw_vmt+"|", "[Daily VMT]",{order}) annual_vmt = GetDataVector(vw_vmt+"|", "[Annual VMT]",{order}) daily_vmt_prop = daily_vmt * combo_frac annual_vmt_prop = annual_vmt * combo_frac SetDataVector(vw_vmt+"|", "[Daily VMT Proportion]", daily_vmt_prop,{order}) SetDataVector(vw_vmt+"|", "[Annual VMT Proportion]", annual_vmt_prop,{order})
vy = GetDataVector(vw_vmt+"|", "Year",) vs = GetDataVector(vw_vmt+"|", "State",) id1 = GetDataVector(vw_vmt+"|", "[Source type ID]",) id2 = GetDataVector(vw_vmt+"|", "[Road Type ID]",) id3 = GetDataVector(vw_vmt+"|", "Hour ID",) id4 = GetDataVector(vw_vmt+"|", "Average Speed Bin ID",) id_string = i2s(vy) +"_" + vs + "_" + i2s(id1) + "_" + i2s(id2)+ "_" + i2s(id3)+ "_" + i2s(id4) SetDataVector(vw_vmt+"|", "Aggregation_Key", id_string,) vc = GetDataVector(vw_vmt+"|", "County",) id_string = i2s(vy) +"_" + vs +"_" + vc SetDataVector(vw_vmt+"|", "Aggregation_Key_CTY", id_string,)
//-----------------------Veh pop calculation UpdateProgressBar("Computing Veh Population .......", 25)APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-49

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area order1 = {"Sort Order", {{"Year", "Ascending"},{"County", "Ascending"},{"State", "Ascending"},{"[Source Type ID]", "Ascending"},{"[Road Type ID]", "Ascending"},{"[Hour ID]", "Ascending"}}} vw_veh =OpenTable("VMT", "FFB", {out_veh_summary,})
st_frac = GetDataVector(vw_veh+"|", "[Source Type Fraction]",{order1}) hr_frac = GetDataVector(vw_veh+"|", "[Hour VMT Fraction]",{order1})
combo_frac = st_frac * hr_frac SetDataVector(vw_veh+"|", "[Combined Factor]", combo_frac,{order1})
st_pop = GetDataVector(vw_veh+"|", "[Source Type Pop]",{order1}) pop_prop = st_pop * combo_frac SetDataVector(vw_veh+"|", "[Population Proportion]", pop_prop,{order1})
vy = GetDataVector(vw_veh+"|", "Year",) vs = GetDataVector(vw_veh+"|", "State",) id1 = GetDataVector(vw_veh+"|", "[Source type ID]",) id2 = GetDataVector(vw_veh+"|", "Hour ID",) id_string = i2s(vy) +"_" + vs + "_" + i2s(id1) + "_" + i2s(id2) SetDataVector(vw_veh+"|", "Aggregation_Key", id_string,) vc = GetDataVector(vw_veh+"|", "County",) id_string = i2s(vy) +"_" + vs +"_" + vc SetDataVector(vw_veh+"|", "Aggregation_Key_CTY", id_string,)
CloseView(vw_vmt) CloseView(vw_veh)

//-------------------------Read MOVES Rates Tables UpdateProgressBar("Reading Rates from MOVES.......", 30) add_fields = {{"Aggregation_Key", "String", 32,0,}} for s = 1 to States.length do for y = 1 to Years.length do ds = States[s]+"_"+i2s(Years[y])
vw = OpenTable("RD", "ODBC", {ds, "rateperdistance"},{{"Read Only", True}}) bin_name = path[1]+path[2]+"MOVES_RatePerDist_"+ds+".bin" ExportView(vw+"|", "FFB", bin_name, ,{{"Additional Fields", add_fields}}) CloseView(vw) //add aggregation field values //aggregate by - {sourceTypeID, roadTypeID, hourID,avgSpeedBinID,pollutantID} vw = OpenTable("RD", "FFB", {bin_name,}) id1 = GetDataVector(vw+"|", "sourceTypeID",) id2 = GetDataVector(vw+"|", "roadTypeID",) id3 = GetDataVector(vw+"|", "hourID",) id4 = GetDataVector(vw+"|", "avgSpeedBinID",) id5 = GetDataVector(vw+"|", "pollutantID",) id_string = i2s(id1) + "_" + i2s(id2)+ "_" + i2s(id3)+ "_" + i2s(id4)+ "_" + i2s(id5) SetDataVector(vw+"|", "Aggregation_Key", id_string,)
CloseView(vw)
vw = OpenTable("RD", "ODBC", {ds, "ratepervehicle"},{{"Read Only", True}}) bin_name = path[1]+path[2]+"MOVES_RatePerVeh_"+ds+".bin" ExportView(vw+"|", "FFB", bin_name, ,{{"Additional Fields", add_fields}}) CloseView(vw) //add aggregation field valuesAPPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-50

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area //aggregate by - {sourceTypeID, hourID,pollutantID} vw = OpenTable("RD", "FFB", {bin_name,}) id1 = GetDataVector(vw+"|", "sourceTypeID",) id2 = GetDataVector(vw+"|", "hourID",) id3 = GetDataVector(vw+"|", "pollutantID",) id_string = i2s(id1) + "_" + i2s(id2)+ "_" + i2s(id3) SetDataVector(vw+"|", "Aggregation_Key", id_string,) CloseView(vw) end end
//-------------------------Aggregate MOVES Rates Per Distance Tables //aggregate by - {sourceTypeID, roadTypeID, hourID,avgSpeedBinID,pollutantID} UpdateProgressBar("Aggregate Distance Rates .......", 40) vw_vmt =OpenTable("VMT", "FFB", {out_vmt_summary,}) field_names = { {"sourceTypeID","MIN",}, {"roadTypeID","MIN",}, {"hourID","MIN",}, {"avgSpeedBinID","MIN",}, {"pollutantID","MIN",}, {"ratePerDistance","SUM",} } add_fields = {{"Aggregation_Key_VMT", "String", 32,0,}}
for s = 1 to States.length do for y = 1 to Years.length do ds = States[s]+"_"+i2s(Years[y]) bin_name = path[1]+path[2]+"MOVES_RatePerDist_"+ds+".bin" vw = OpenTable("RD", "FFB", {bin_name,}) temp_name = path[1]+path[2]+"Agg_RateVmt_"+ds+".bin" avw = AggregateTable("AGG", vw+"|", "FFB", temp_name, "Aggregation_Key", field_names,{"Missing as zero", "Yes"}) CloseView(vw)
temp_name = path[1]+path[2]+"temp1.bin" for p = 1 to Pollutants.length do SetView(avw) query = "Select * where [Low pollutantID] = " + i2s(Pollutants[p]) svw = "Pneeded" n1 = SelectByQuery(svw, "Several", query,) if n1> 0 then do temp_name = path[1]+path[2]+"temp1.bin" ExportView(avw+"|"+svw, "FFB", temp_name, ,{{"Additional Fields", add_fields}}) tvw = OpenTable("RD", "FFB", {temp_name,})
id1 = GetDataVector(tvw+"|", "Low sourceTypeID",) id2 = GetDataVector(tvw+"|", "Low roadTypeID",) id3 = GetDataVector(tvw+"|", "Low hourID",) id4 = GetDataVector(tvw+"|", "Low avgSpeedBinID",)
vsy = Vector(id1.length, "String",{{"Constant", i2s(Years[y]) + "_" + States[s]}}) id_string = vsy+ "_" + i2s(id1) + "_" + i2s(id2)+ "_" + i2s(id3)+ "_" + i2s(id4) SetDataVector(vw+"|", "Aggregation_Key_VMT", id_string,)APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-51

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area jv1 = JoinViews("JV1", vw_vmt + ".Aggregation_Key", tvw + ".Aggregation_Key_VMT", {{"O", }}) //set rates in vmt table SetView(jv1) svw2 = "Subset" query = "Select * where ratePerDistance <> null" n1 = SelectByQuery(svw2, "Several", query,) if (n1 > 0) then do vr = GetDataVector(jv1+"|"+svw2, "ratePerDistance",) SetDataVector(jv1+"|"+svw2, "RatePerDist_"+i2s(Pollutants[p]), vr,) end CloseView(jv1) CloseView(tvw) end end
CloseView(avw) end end CloseView(vw_vmt)
//-------------------------Aggregate MOVES Rates Per Vehicle Tables //aggregate by - {sourceTypeID, hourID,pollutantID} UpdateProgressBar("Aggregate Vehicle Rates .......", 60) vw_veh = OpenTable("VMT", "FFB", {out_veh_summary,}) field_names = { {"sourceTypeID","MIN",}, {"hourID","MIN",}, {"pollutantID","MIN",}, {"ratePerVehicle","SUM",} } add_fields = {{"Aggregation_Key_VEH", "String", 32,0,}}
for s = 1 to States.length do for y = 1 to Years.length do ds = States[s]+"_"+i2s(Years[y]) bin_name = path[1]+path[2]+"MOVES_RatePerVeh_"+ds+".bin" vw = OpenTable("RD", "FFB", {bin_name,}) temp_name = path[1]+path[2]+"Agg_RateVeh_"+ds+".bin" avw = AggregateTable("AGG", vw+"|", "FFB", temp_name, "Aggregation_Key", field_names,{"Missing as zero", "Yes"}) CloseView(vw)
temp_name = path[1]+path[2]+"temp1.bin" for p = 1 to Pollutants.length do SetView(avw) query = "Select * where [Low pollutantID] = " + i2s(Pollutants[p]) svw = "Pneeded" n1 = SelectByQuery(svw, "Several", query,) if n1> 0 then do temp_name = path[1]+path[2]+"temp1.bin" ExportView(avw+"|"+svw, "FFB", temp_name, ,{{"Additional Fields", add_fields}}) tvw = OpenTable("RD", "FFB", {temp_name,})
id1 = GetDataVector(tvw+"|", "Low sourceTypeID",)APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-52

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area id2 = GetDataVector(tvw+"|", "Low hourID",) vsy = Vector(id1.length, "String",{{"Constant", i2s(Years[y]) + "_" + States[s]}}) id_string = vsy+ "_" + i2s(id1) + "_" + i2s(id2) SetDataVector(vw+"|", "Aggregation_Key_VEH", id_string,)
jv1 = JoinViews("JV1", vw_veh + ".Aggregation_Key", tvw + ".Aggregation_Key_VEH", {{"O", }}) //set rates in vmt table SetView(jv1) svw2 = "Subset" query = "Select * where ratePerVehicle <> null" n1 = SelectByQuery(svw2, "Several", query,) if (n1 > 0) then do vr = GetDataVector(jv1+"|"+svw2, "ratePerVehicle",) SetDataVector(jv1+"|"+svw2, "RatePerVeh_"+i2s(Pollutants[p]), vr,) end CloseView(jv1) CloseView(tvw) end end CloseView(avw) end end CloseView(vw_veh) temp_name = path[1]+path[2]+"temp1.bin" if GetFileInfo(temp_name) <> null then DeleteFile(temp_name) temp_name = path[1]+path[2]+"temp1.dcb" if GetFileInfo(temp_name) <> null then DeleteFile(temp_name)

///--------------------------------Calculate Emissions--------------------------------- UpdateProgressBar("Calculate Emissions .......", 70) vw_vmt =OpenTable("VMT", "FFB", {out_vmt_summary,}) daily_vmt = nz(GetDataVector(vw_vmt+"|", "[Daily VMT Proportion]",)) annual_vmt = nz(GetDataVector(vw_vmt+"|", "[Annual VMT Proportion]",)) for p = 1 to Pollutants.length do rate = nz(GetDataVector(vw_vmt+"|", "RatePerDist_"+i2s(Pollutants[p]),)) daily_em = rate * daily_vmt annual_em = rate * annual_vmt SetDataVector(vw_vmt+"|", "Daily_Emission_RatePerDist_"+i2s(Pollutants[p]), daily_em,) SetDataVector(vw_vmt+"|", "Annual_Emission_RatePerDist_"+i2s(Pollutants[p]), annual_em,) end CloseView(vw_vmt)
vw_veh =OpenTable("VEH", "FFB", {out_veh_summary,}) pop = nz(GetDataVector(vw_veh+"|", "[Population Proportion]",)) for p = 1 to Pollutants.length do rate = nz(GetDataVector(vw_veh+"|", "RatePerVeh_"+i2s(Pollutants[p]),)) daily_em = rate * pop annual_em = rate * pop * 365 SetDataVector(vw_veh+"|", "Daily_Emission_RatePerVeh_"+i2s(Pollutants[p]), daily_em,) SetDataVector(vw_veh+"|", "Annual_Emission_RatePerVeh_"+i2s(Pollutants[p]), annual_em,) end CloseView(vw_veh)APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-53

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area ///--------------------------------Aggregate results to county--------------------------------- UpdateProgressBar("Calculate Emissions .......", 90) vw_vmt =OpenTable("VMT", "FFB", {out_vmt_summary,}) field_names = { {"Year","MIN",}} for p = 1 to Pollutants.length do field_names = field_names + {{"Daily_Emission_RatePerDist_"+i2s(Pollutants[p]), "SUM"},
{"Annual_Emission_RatePerDist_"+i2s(Pollutants[p]), "SUM"}} end vw_vmt_cty = AggregateTable("VMT_CTY", vw_vmt+"|", "FFB", out_em_vmt_summary, "Aggregation_Key_CTY", field_names,{"Missing as zero", "Yes"}) CloseView(vw_vmt) xls_name = path[1]+path[2]+"Summary_VMT_County.xls" ExportView(vw_vmt_cty+"|", "EXCEL", xls_name,,)
vw_veh =OpenTable("VEH", "FFB", {out_veh_summary,}) field_names = { {"Year","MIN",}} for p = 1 to Pollutants.length do field_names = field_names + {{"Daily_Emission_RatePerVeh_"+i2s(Pollutants[p]), "SUM"},
{"Annual_Emission_RatePerVeh_"+i2s(Pollutants[p]), "SUM"}} end vw_veh_cty = AggregateTable("VEH_CTY", vw_veh+"|", "FFB", out_em_veh_summary, "Aggregation_Key_CTY", field_names,{"Missing as zero", "Yes"}) CloseView(vw_veh) xls_name = path[1]+path[2]+"Summary_VEH_County.xls" ExportView(vw_veh_cty+"|", "EXCEL", xls_name,,)
//----------------------add together bin_fields = {{"Year", "Integer", 12,0,}, {"State", "String", 2,0,}, {"County", "String", 12,0,}, {"Pollutant", "String", 32,0,}, {"Daily Emission (grams/day)","Real", 24,4,}, {"Annual Emission (grams/year)","Real", 24,4,} } vw_sum = CreateTable("Emission Summary", out_em_total_summary, "FFB", bin_fields)
order = {"Sort Order", {{"Aggregation_Key_CTY", "Ascending"}}} dim daily[Years.length, Counties.length, Pollutans.length] dim annual[Years.length, Counties.length, Pollutans.length]
key = GetDataVector(vw_vmt_cty+"|", "Aggregation_Key_CTY",{order}) dim em_daily[Pollutants.length] dim em_annual[Pollutants.length] for p = 1 to Pollutants.length do vd1 = GetDataVector(vw_vmt_cty+"|", "Daily_Emission_RatePerDist_"+i2s(Pollutants[p]),{order}) vd2 = GetDataVector(vw_veh_cty+"|", "Daily_Emission_RatePerVeh_"+i2s(Pollutants[p]),{order}) em_daily[p] = vd1 + vd2 vd1 = GetDataVector(vw_vmt_cty+"|", "Annual_Emission_RatePerDist_"+i2s(Pollutants[p]),{order}) vd2 = GetDataVector(vw_veh_cty+"|", "Annual_Emission_RatePerVeh_"+i2s(Pollutants[p]),{order}) em_annual[p] = vd1 + vd2 end for i = 1 to key.length do subs = ParseString(key[i], "_")APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-54

Source Emissions for the Huntington-Ironton-Ashland PM 2.5 Nonattainment Area my_year = s2i(subs[1]) my_state = subs[2] my_county = subs[3] for p = 1 to Pollutants.length do my_pollutant = Pollutant_Names[p] my_day_em = em_daily[p][i] my_anu_em = em_annual[p][i]

r= null r.Year = my_year r.County= my_county r.State = my_state r.Pollutant = my_pollutant r.[Daily Emission (grams/day)]= my_day_em r.[Annual Emission (grams/year)] = my_anu_em AddRecord(vw_sum, r) end end
xls_name = path[1]+path[2]+"Summary_Total_Emissions.xls" ExportView(vw_sum+"|", "EXCEL", xls_name,,)
CloseView(vw_sum) CloseView(vw_veh_cty) CloseView(vw_vmt_cty) DestroyProgressBar()

endMacro

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# An a ly sis o f In sig n ifica n ceof M o b ile Emissio n s

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i s s i o n reduct io n s

. Ot h er em i s s io n i n v en t o ry rel at ed r equi

remen t s i ncl ude a pro j ect io n o f t h e em

i s s i o n i n v en t o ry t o a year at leas t 10 y ears f o llo wi ng redes ign at io n ; a

2

. 5 

### dem o n s t rat i o n t h at t he pr o

j ect ed l ev el o f em

i s s io n s i s s uf

f icien t t o mai n t ai n t h e P M s t andard;

and a co m

m i t men t t o pro vide f

ut ure updat es o f t he i

n v en t o ry t o enab le t racki

ng o f em i s s io n lev el s duri ng t h e 10- year m

ai n t enance peri o d.

T h e em i s s io n s i n v en t o ry dev elo pmen

t pro ces s addres s es em

i s s io n s f ro m s ev eral t y

pes o f s o urces
o r s ect o rs: po i

n t (E GU and no n -E GU); no n -po i n t o r area, i

ncl udi ng f i res ( wildf i res and presc ri

b ed f i res); mari n e, ai rcr af t and rail (MAR); no n -r o ad and o n -r o ad mo b ile. T h e i n v en t o ri es , wi t h t h e
ex cept io n o f t h e o n -r o ad mo b il e sec t o r, f o r t h e W es t Vi

rgi nia po rt io n o f t h e n o n at t ai n men t area were dev elo ped as des cri

b ed i n Chapt er 4 o f t he n arr at i v e, and do cum

en t ed i n great er det ail i

n A ppendi x B, whil e t h e i

n v en t o ri es f o r t h e Ken

t ucky and Ohio po rt io n s o f t he no n -at t ai n men t area were dev elo ped b y LADC O as di s cus s ed i n great er det ail i

n A ppendi x D.

On -r o ad ( high

way ) mo b il e em

i s s i o n s i n v en t o ri es and pro

j ect io n s f o r all co un

t i es were pr epared b y K i m ley-Ho rn and A s s o ciat es In c, wi t h dat a pr o vided b y t h e Ken t ucky-Ohio -W es t Vi

rgi ni a Int erst at e P lan

ni ng Co m m i s s i o n (K YOVA), Ohio Depa

rt men t o f T ran s po rt at io n (ODOT ), Ohi o E PA , W es t Vi

rgi ni a Depart m

en t o f T ran s po rt at io n (WVDOT) W es t Vi rgi ni a Depart men

t o f E n vi ro n men t al Pr o t ect io n (W

VDEP ), Ken

t ucky T ran spo rt at io n Ca

b i n et (K YTC) and t h e Ken t ucky Di vi s i o n o f Ai

r Quali t y (K DA Q). T h e mo b ile em

i s s io n i n v en t o ri es were o nl

y generat ed

2

. 5 

### f o r t h e 1997 PM no n at t ai n men t areas , meani

ng t h at i f a part i al co un

t y was des ign at ed as

no nat t ai n men t , o nl y t h at po rt i o n was m

o deled f o r i n v en t o ry develo pm

en t (as o ppo s ed t o t h e
en t i re co un t y i n whi ch t h e n o n at t ai

n men t area i s lo cat ed).

### Si

nce t h e mo b il e em

i s s i o n s i n v en t o ri es o nl y addres s no n at t ai

n men t areas (co un

t y lev el o r o nl

y part i al areas des ign at ed as n o n at t ai n men t ) and t h e r em

ai nder o f t h e so urce s ect o r i n v en t o ri es [n o n -electri c gen erat i

ng uni t s (n o n -E GU), electri c gen erat i ng uni t s (E GU), area, no n -r o ad and MAR)] were dev elo ped f o r co m pl et e co un

t i es (which are no t n ece s s aril y en t i rel y clas s if i ed as

no nat t ai n men t ), W es t Vi

rgi ni a DA Q t h at an appo rt io ni ng anal ys i s appro ach wo uld m

o s t
acc urat el y pro vide f

o r a det erm

i n at i o n o f mo b ile em

i s s io n s i n s ignif icance. T h e an al

ys i s i nco rpo rat es appo rt i o ni

ng no n -r o ad, M AR and area em i s s io n s o urces f

ro m t he en

t i re co un t y lev el i n v en t o ry t o t h e part ial no nat t ai n men t po rt io n o f t h e co un

t y b as ed o n t h e per cen

t ages o f t h e po pulat io n i

n t he co un

t y v ersus t h e part i al area ( b as ed o n t h e 2000 U.S

. Ce n s us ). T hi s t y pe o f appo rt io ni

ng was det erm

i n ed t o b e i

n appro pri at e f

o r t h e E GU and no n -E GU sec t o rs. Ho wever, f o r all part i al no n at t ai

n men t co un t i es (Mas o n , W

V, L awrence, K

Y, A dams and Galli a, OH) wi t hi n t h e n o nat t ai

n men t area all E GU em

i s s i o n s wi t hi n t h e co un

t y lev el i n v en t o ry reside so lel

y wi t hi n t h e part i al area. T h eref

o re, W es t Vi

rgi nia DA Q appo rt io ned all E GU em i s s io n s t o t h e
no nat t ai n men t area. W es t Vi

rgi nia DA Q t h en det erm

i n ed which s igni f

ican t no n -E GU po i

n t
s o urces were lo cat ed i

n t h e Gr aham T ax Di s t ri ct o f M as o n Co un t y, and appo rt io n ed t ho s e
em i s s io n s t o t h e part i al area ( s ee F igure 1. M ap o f M as o n Co un t y, W V sho wi ng Grah am T ax Di s t ri ct ). Co n

v erse l y , K Y an d OH det erm

i n ed t h at appo rt io ni

ng co un t y lev el no n -E GU em

i s s i o n s i n t o t h e part i al area f

o r all t h e years o f i

n t eres t wo uld b e mo re challengi ng, t h eref o re t h ey elect ed t o remo v e n o n -E GUs f

ro m t he i n s igni f icance anal

ys i s ONLY in t h e part i al no n at t ai n m en t
co un t i es

. T hi s i s j us t i f

i ed, as o m

i t t i ng t h e n o n -E GUs will pro vide f o r mo re co n s erv at i

v e r es ul t s (i

. e., t h e per cen

t age o f mo b il e em

i s s i o n s will b e l arger)

. T h eref o re, i f t h e i

n s igni f icance anal

ys i s wi t h t h e o m i s s i o n o f no n -E GUs resul

t s i n a det erm

i n at io n t h at o n -r o ad mo b ile em i s s io n s are i n s igni f ican t , perf o rmi ng t h e an al

ys i s wi t h no n -E GU appo rt io n ed will s ho w ev en great er i n s igni f icance.

### F igure 1. M ap o f M as o n Co un t y, W V sho wi ng Grah am T ax Di s t ri ct

### T ab le 1 s ho ws t h e t o t al po pulat io n i n eac h co un

t y t h at co n

t ai n s o n e o r mo re part i al no n at t ai n men t
areas , t h e t o t al po pulat i o n i n eac h part i al no n at t ai

n men t area, and t h e po pulat io n percen t age i n
eac h part i al no n at t ai

n men t area r elat i

v e t o t h e co un

t y po pulat io n

. T hi s dat a i s b as ed o n t h e 2000 U.S

. Ce n s us

. T h e po pulat i o n percen t ages were used t o appo rt io n t h e co un t y lev el em

i s s io n s (ex cept m o b il e, E GU and no n -E GU em i s s io n s ) t o t he part i al no n at t ai n men t areas

.

Tabl e 1. Total Count y P opul ati on, P arti al Nonat tai nm ent Ar ea Popul ati on, and P er centage of Count y P opul ati on with in th e Parti al Nonat tai nm ent Ar ea
P opul ati on
Total % of Count y
M as on Count y, WV 25, 957
Grah am T ax Di s t ri ct 2, 774 10. 69%

Law r ence Count y, K Y 15, 569

T h e ar ea des cri

b ed b y US Ce n s us 2000 b lo ck gr o up iden t i f i er 21-127- 9901-6 1, 050 6. 74%

Adam s Count y, OH 27, 330 Spr igg T o wn s hi

p 1, 639 6. 00%

M o n ro e T o wn s hi

p 735 2. 69%

Gallia Count y, OH 31, 069
Ches hi re OH 1, 259 4. 05%
Sour c e s: 20 00 Cen sus: h t tp: // c e n sta t a

. c e n sus. go v /pub/ Pr o f i l e s. sh tm l We st Vi r gi n i a Pa r t i a l i n f or m a t i o n : h t tp: //w w w

. epa

. go v

/ o a qp s001 / gr e e n b k/ qh a y

. h tm l Ken tucky 20 0 pa r t i a l i n f

or m a t i o n : h t tp: //w w w

. c e n sus. go v

/ geo/w w w / c en pop/b l kg rp/b g_21 _ky _t xt



### T ab le 2 s ho ws t h e em

i s s io n s i n v en t o ry dat a f

o r t he who le co un

t i es

. T ab le 3 s ho ws t h e appo rt io n men t resul t s

. A s no t ed ab o v e, t he E GU so urces are all lo cat ed i n t he part ial co un

t y areas des ignat ed n o n at t ai

n men t , t h e mo b il e o n -r o ad em

i s s io n s were o nl

y calculat ed f

o r t h e part i al areas , and t h e n o n -E GU so urces i n K Y an d OH were o m

i t t ed. T ab le 4 s ho ws t h e per cen t age o f t h e

x 2

. 5 2 

### em i s s io n s o f NO , PM and SO at t ri but ed t o o n -r o ad mo b ile so urce em i s s io n s i n eac h co un

t y , part i al co un

t y , s t at e po rt io n , and en

t i re no n at t ai

n m en t area.

A s s ho wn i

n T ab l e 4:

2 

### • On -r o ad mo b il e so urce SO co n s t i t ut es les s t han o n e t en

t h o f o n e per cen

t (<0. 1%) o f t he

2 

### area’ s t o t al SO em

i s s i o n s i n t h e 2015 and 2022 ho rizo n y ears

.

x x 

### • On -r o ad mo b il e so urce NO co n s t i t ut es s i x percen t (<6% ) o r les s o f t h e ar ea’ s t o t al NO

### em i s s i o n s i n t h e 2015 and 2022 ho rizo n years

.

2

. 5 2

. 5 

### • On -r o ad so urce PM co n s t i t ut es les s t h an t h

ree percen

t (<3% ) o f t h e ar ea’ s t o t al PM

em i s s i o n s i n t h e 2015 and 1022 ho rizo n years

.
T h eref o re, t h e W es t Vi

rgi ni a DA Q i s h erei

n maki ng a f i ndi ng t hat t h e ar ea’ s high

way em i s s io n s

2 2

. 5 x 

### f o r SO , PM , and NO co n t i n ue t o b e i n s igni f ican t co n t ri but o rs t o t h e no n at t ai

n men t pro b lem i

n t h e Hun t i ngt o n -A s hland area, as agreed upo n as part o f t he i n t eragency co n s ul

t at io n pro ces s

. Be caus e o f t hi s f

i ndi ng, i t i s no t n ece s s ary t o es t ab li s h mo b ile em i s s io n budget s f

o r t hi s area i

n t h e 2015 and 2022 h o rizo n years

.

### Tabl e 2. Em iss ions Invent or y Data f or Whol e Coun ti es P M 2. 5 NO x SO 2 Co unt y Se ct o r 20 05 20 08 20 15 20 22 20 05 20 08 20 15 20 22 20 05 20 08 20 15 20 22 Cabe l l , W V EG U 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00

No n- EG U 52 4. 96 22 0. 25 40 9. 29 49 0. 61 24 4. 30 25 9. 41 27 9. 66 31 4. 73 52

. 80 28

. 33 14 6. 84 17 4. 24 No n- Ro ad 33

. 38 32

. 32 24

. 91 14

. 48 32 3. 62 29 1. 30 20 3. 36 12 9. 15 17

. 99 8. 02 0. 75 0. 63 Are a 86 1. 36 85 8. 22 86 1. 87 93 2. 52 72 5. 00 73 3. 77 81 2. 63 90 1. 20 1, 46 5. 98 1, 51 2. 26 1, 60 7. 26 1, 70 0. 04
M AR 45

. 27 42

. 50 39

. 95 38

. 86 1, 58 7. 60 1, 57 3. 50 1, 54 0. 59 1, 50 7. 68 53

. 85 24

. 00 3. 14 2. 01 O n- Ro ad 17 3. 92 15 1. 98 80

. 07 43

. 33 4, 26 2. 48 3, 50 4. 59 1, 70 2. 34 84 7. 76 81

. 13 21

. 95 9. 39 9. 13
M as o n, W V EG U 88 0. 86 1, 10 3. 72 30 9. 28 33 7. 60 22 , 46 0. 89 10 , 95 2. 73 10 , 48 8. 54 5, 82 3. 72 84 , 87 7. 44 38 , 17 2. 36 33 , 63 3. 13 15 , 96 7. 64

No n- EG U 15

. 50 92

. 20 28

. 60 81

. 87 41

. 42 50

. 64 30 2. 63 80 2. 95 0. 88 15 6. 76 65

. 63 21 4. 03 No n- Ro ad 17

. 37 14

. 78 9. 97 5. 59 16 3. 69 15 6. 28 12 7. 03 94

. 66 11

. 15 4. 91 0. 37 0. 28 Are a 38 7. 04 38 3. 22 38 4. 41 39 8. 81 36 1. 05 37 2. 98 39 5. 90 41 8. 00 12 0. 24 12 1. 43 12 3. 85 12 6. 21
M AR 48

. 00 46

. 25 45

. 33 45

. 66 1, 34 1. 99 1, 31 0. 32 1, 23 6. 43 1, 16 2. 54 42

. 39 18

. 93 2. 49 1. 60 O n- Ro ad 1. 19 1. 10 0. 64 0. 38 31

. 12 27

. 36 15

. 33 8. 72 0. 54 0. 16 0. 07 0. 08
W ay ne , W V EG U 10

. 13 7. 25 3. 98 4. 95 11 5. 72 46

. 30 11

. 57 14

. 39 0. 94 0. 50 0. 00 0. 00

No n- EG U 12 9. 73 11 8. 26 53

. 47 60

. 40 2, 60 1. 01 3, 03 8. 67 2, 81 3. 04 2, 96 2. 67 21 9. 70 23 6. 65 28 8. 26 28 1. 08 No n- Ro ad 12

. 31 10

. 77 7. 87 5. 13 12 2. 87 11 4. 28 90

. 82 69

. 07 7. 78 3. 43 0. 27 0. 21 Are a 50 4. 49 49 8. 09 49 8. 55 52 1. 10 17 3. 50 17 5. 95 19 2. 12 21 0. 04 49 4. 32 51 0. 44 54 4. 15 57 7. 18
M AR 10 8. 00 10 4. 86 10 4. 35 10 6. 42 2, 88 9. 10 2, 86 0. 00 2, 79 2. 09 2, 72 4. 18 98

. 94 48

. 50 13

. 94 12

. 46 O n- Ro ad 70

. 37 62

. 37 32

. 03 20

. 13 1, 72 0. 01 1, 43 2. 79 67 6. 93 38 6. 80 32

. 87 9. 02 3. 76 4. 26
B o y d, KY EG U 0. 05 0. 01 0. 00 0. 00 39

. 41 9. 85 2. 96 0. 00 1. 14 0. 29 0. 09 0. 00

No n- EG U 1, 20 0. 70 1, 44 9. 68 1, 45 5. 23 1, 45 8. 01 6, 74 3. 93 7, 11 6. 32 7, 45 3. 89 7, 80 3. 35 9, 65 0. 25 10 , 18 8. 42 11 , 06 5. 41 12 , 01 2. 04 No n- Ro ad 11

. 15 9. 92 7. 18 4. 42 17 1. 09 15 0. 58 10 0. 47 50

. 57 8. 46 3. 67 0. 85 0. 24 Are a 34 5. 58 35 5. 57 37 7. 29 38 6. 49 41

. 22 43

. 92 50

. 02 56

. 14 54 4. 34 56 9. 78 59 4. 03 61 9. 38
M AR 11 3. 42 11 0. 64 86

. 34 63

. 71 3, 03 5. 45 2, 96 6. 48 2, 21 3. 06 1, 51 5. 33 42 6. 27 38 7. 85 29 2. 02 19 6. 77 O n- Ro ad 11 4. 31 97

. 91 51

. 16 29

. 08 2, 67 3. 25 2, 17 2. 59 1, 15 4. 59 64 7. 64 11

. 89 11

. 62 11

. 89 12

. 12
Lawr en ce , K Y EG U 40 0. 00 40 7. 67 42 2. 88 43 3. 23 12 , 46 8. 19 4, 73 5. 62 2, 99 7. 63 2, 25 2. 78 49 , 85 8. 09 40 , 71 7. 49 20 , 47 5. 34 11 , 80 0. 13
No n- EG U 22

. 49 22

. 70 24

. 86 25

. 79 2. 72 1. 95 1. 85 1. 43 1. 55 1. 49 1. 45 1. 40 No n- Ro ad 9. 68 9. 77 7. 21 4. 91 57

. 97 54

. 40 41

. 05 28

. 16 4. 06 1. 76 0. 41 0. 12 Are a 88

. 84 90

. 74 91

. 70 92

. 09 85

. 89 88

. 43 92

. 45 96

. 64 96

. 47 99

. 37 98

. 36 98

. 02
M AR 18

. 79 17

. 82 13

. 33 9. 05 63 5. 31 61 3. 37 44 4. 15 28 6. 03 66

. 03 54

. 52 38

. 28 21

. 04 O n- Ro ad 7. 30 6. 27 3. 12 1. 69 17 0. 69 13 9. 16 70

. 54 37

. 96 0. 76 0. 74 0. 73 0. 71

### Tabl e 2. Em iss ions Invent or y Data f or Whol e Coun ti es Adams , O H EG U 3, 34 4. 63 3, 58 5. 29 3, 56 9. 95 3, 54 4. 65 30 , 20 5. 82 31 , 25 8. 94 25 , 67 1. 39 23 , 27 6. 73 12 5, 07 0. 34 35 , 94 6. 20 27 , 07 7. 57 23 , 27 6. 73

No n- EG U 6. 90 7. 28 13

. 13 15

. 64 66 5. 42 70 3. 45 1, 26 6. 52 1, 77 0. 27 4. 37 3. 73 8. 04 11

. 62 No n- Ro ad 15

. 62 13

. 28 8. 70 4. 04 14 2. 28 12 8. 52 92

. 82 57

. 47 15

. 33 5. 67 0. 91 0. 14 Are a 24 7. 97 27 8. 00 28 5. 55 28 2. 69 12 7. 85 13 2. 58 13 4. 84 13 7. 93 33

. 56 33

. 54 31

. 73 30

. 08
M AR 7. 39 6. 79 4. 21 1. 74 32 5. 30 30 7. 93 19 9. 67 97

. 77 28

. 54 19

. 33 6. 61 1. 79 O n- Ro ad 4. 20 3. 69 2. 17 1. 39 12 2. 49 10 3. 66 54

. 82 26

. 21 2. 10 0. 71 0. 32 0. 39 G al l i a, O H EG U 1, 01 1. 49 1, 03 1. 94 1, 07 3. 20 1, 10 0. 12 57 , 52 3. 60 59 , 68 8. 25 24 , 47 6. 65 9, 38 5. 96 10 0, 10 2. 91 91 , 88 9. 46 41 , 92 4. 16 20 , 51 0. 45

No n- EG U 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 No n- Ro ad 11

. 87 10

. 33 7. 22 4. 07 11 0. 23 96

. 65 67

. 88 38

. 85 10

. 76 3. 98 0. 67 0. 15 Are a 13 2. 22 16 8. 24 18 1. 29 18 2. 52 12 2. 81 12 8. 27 13 1. 45 13 5. 53 16

. 36 16

. 60 15

. 91 15

. 35
M AR 7. 50 6. 91 4. 32 1. 84 31 6. 92 29 9. 78 19 4. 41 95

. 18 27

. 78 19

. 07 6. 90 2. 26 O n- Ro ad 2. 03 1. 81 1. 06 0. 68 59

. 34 50

. 43 26

. 89 12

. 94 1. 02 0. 34 0. 16 0. 16
Lawr en ce , O H EG U 0. 00 0. 94 0. 69 0. 14 0. 00 96

. 19 10 5. 90 11 0. 06 0. 00 0. 69 0. 21 0. 00
No n- EG U 1. 21 1. 39 1. 75 1. 90 68

. 51 77

. 46 97

. 06 15 4. 65 0. 24 0. 05 0. 35 0. 55 No n- Ro ad 13

. 78 11

. 67 7. 90 4. 02 16 5. 50 14 2. 30 92

. 01 41

. 36 18

. 98 6. 95 1. 11 0. 19
Are a 13 4. 89 13 4. 73 13 1. 79 12 9. 08 23 2. 73 23 5. 97 23 8. 92 24 2. 31 30

. 33 29

. 94 28

. 93 27

. 94
M AR 20

. 16 17

. 97 10

. 67 3. 57 78 5. 48 73 6. 28 47 7. 77 32 3. 77 68

. 18 53

. 99 29

. 93 5. 03 O n- Ro ad 57

. 15 48

. 87 28

. 76 20

. 08 1, 69 2. 81 1, 40 3. 49 75 9. 82 39 7. 98 28

. 08 9. 16 4. 14 4. 48 Sc i o t o , O H EG U 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00

No n- EG U 84

. 20 13 8. 92 11 1. 08 10 2. 50 57 0. 12 65 9. 89 51 2. 83 40 7. 21 97 7. 12 1, 47 7. 24 99 3. 09 72 3. 09 No n- Ro ad 37

. 43 33

. 07 22

. 69 12

. 33 32 4. 89 28 1. 37 18 5. 85 89

. 77 36

. 15 13

. 28 2. 17 0. 42 Are a 19 9. 12 29 0. 87 32 7. 40 33 0. 38 24 0. 86 25 4. 58 26 2. 42 27 2. 52 36

. 63 37

. 53 35

. 89 34

. 61
M AR 37

. 29 32

. 74 18

. 94 5. 44 1, 33 7. 52 1, 24 5. 14 80 5. 82 38 7. 53 11 6. 50 10 0. 91 66

. 76 32

. 41 O n- Ro ad 70

. 26 61

. 40 37

. 35 24

. 56 2, 08 1. 20 1, 76 1. 97 98 3. 09 48 6. 95 34

. 53 11

. 52 5. 39 5. 47 No te : Fo r Par ti al Co u nti e s - M aso n, W V, La wr e nc e , KY , Adams , O H , G al l i a, O H - Al l se c to r s, e x c e pt O n-Ro ad, i nc l u de data fo r e nti r e c o u nty. O n-r o ad data was c al c u l at e d fo r the no n-at ta i nm e nt po r ti o n o f the c o u nty o nly

.Ta ble 3. Emission s Inv e nto r y Appo r ti o ne d to Ac c o u nt fo r Par ti al Co u nti e s PM2.5 NO x SO 2 County Sec tor 2005 2008 2015 2022 2005 2008 2015 2022 2005 2008 2015 2022 Ca bell , WV E GU 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Non- E GU 524.96 220.25 409.29 490.61 244.30 259.41 279.66 314.73 52.80 28.33 146.84 174.24 Non- Road 33.38 32.32 24.91 14.48 323.62 291.30 203.36 129.15 17.99 8.02 0.75 0.63 Ar ea 861.36 858.22 861.87 932.52 725.00 733.77 812.63 901.20 1,465.98 1,512.26 1,607.26 1,700.04 MA R 45.27 42.50 39.95 38.86 1,587.60 1,573.50 1,540.59 1,507.68 53.85 24.00 3.14 2.01 O n-Roa d 173.92 151.98 80.07 43.33 4,262.48 3,504.59 1,702.34 847.76 81.13 21.95 9.39 9.13 Ma son, WV (Pa r tial 10.69% ) E GU 880.86 1,103.72 309.28 337.60 22,460.89 10,952.73 10,488.54 5,823.72 84,877.44 38,172.36 33,633.13 15,967.64

Non- E GU 0.00 83.78 0.00 0.00 0.00 0.00 0.00 0.00 0.00 155.97 0.00 0.00 Non- Road 1.86 1.58 1.07 0.60 17.50 16.71 13.58 10.12 1.19 0.52 0.04 0.03 Ar ea 41.37 40.97 41.09 42.63 38.60 39.87 42.32 44.68 12.85 12.98 13.24 13.49 MA R 5.13 4.94 4.85 4.88 143.46 140.07 132.17 124.28 4.53 2.02 0.27 0.17 O n-Roa d 1.19 1.10 0.64 0.38 31.12 27.39 15.33 8.72 0.54 0.16 0.07 0.08 Wa yne, WV E GU 10.13 7.25 3.98 4.95 115.72 46.30 11.57 14.39 0.94 0.50 0.00 0.00

Non- E GU 129.73 118.26 53.47 60.40 2,601.01 3,038.67 2,813.04 2,962.67 219.70 236.65 288.29 281.08 Non- Road 12.31 10.77 7.87 5.13 122.87 114.28 90.82 69.07 7.78 3.43 0.27 0.21 Ar ea 504.49 498.09 498.55 521.10 173.50 175.95 192.12 210.04 494.32 510.44 544.15 577.18 MA R 108.00 104.86 104.35 106.42 2,889.10 2,860.00 2,792.09 2,724.18 98.94 48.50 13.94 12.46 O n-Roa d 70.37 62.37 32.03 20.13 1,720.01 1,432.79 676.93 386.80 32.87 9.02 3.76 4.26 Boyd, K Y E GU 0.05 0.01 0.00 0.00 39.41 9.85 2.96 0.00 1.14 0.29 0.09 0.00

Non- E GU 1,200.70 1,449.68 1,455.23 1,458.01 6,743.93 7,116.32 7,453.89 7,803.35 9,650.25 10,188.42 11,065.41 12,012.04 Non- Road 11.15 9.92 7.18 4.42 171.09 150.58 100.47 50.57 8.46 3.67 0.85 0.24 Ar ea 345.58 355.57 377.29 386.49 41.22 43.92 50.02 56.14 544.34 569.78 594.03 619.38 MA R 113.42 110.64 86.34 63.71 3,035.45 2,966.48 2,213.06 1,515.33 426.27 387.85 292.02 196.77 O n-Roa d 114.31 97.91 51.16 29.08 2,673.25 2,172.59 1,154.59 647.64 11.89 11.62 11.89 12.12 La wr ence, K Y (Pa r tial 6.74% ) E GU 400.00 407.67 422.88 433.23 12,468.19 4,735.62 2,997.63 2,252.78 49,858.09 40,717.49 20,475.34 11,800.13

Non- E GU 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Non- Road 0.65 0.66 0.49 0.33 3.91 3.67 2.77 1.90 0.27 0.12 0.03 0.01 Ar ea 5.99 6.12 6.18 6.21 5.79 5.96 6.23 6.51 6.52 6.70 6.63 6.61 MA R 1.27 1.20 0.90 0.61 42.82 41.34 29.94 19.28 4.45 3.67 2.58 1.42 O n-Roa d 7.30 6.27 3.12 1.69 170.69 139.16 70.54 37.96 0.76 0.74 0.73 0.71Ta ble 3. Emission s Inv e nto r y Appo r ti o ne d to Ac c o u nt fo r Par ti al Co u nti e s

Ada m s, O H (Pa r tial 8.69% ) E GU 3,344.63 3,585.29 3,569.95 3,544.65 30,205.82 31,258.94 26,671.39 23,276.73 125,070.34 35,946.20 27,077.57 23,276.73

Non- E GU 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Non- Road 1.36 1.15 0.76 0.35 12.36 11.17 8.07 4.99 1.33 0.49 0.08 0.01 Ar ea 21.55 24.16 24.81 24.57 11.11 11.52 11.72 11.99 2.92 2.91 2.76 2.61 MA R 0.64 0.59 0.37 0.15 28.27 26.76 17.35 8.50 2.48 1.68 0.57 0.16 O n-Roa d 4.20 3.69 2.17 1.39 122.49 103.66 54.82 26.21 2.10 0.71 0.32 0.32 Ga ll ia, O H (Pa r tial 4.05% ) E GU 1,011.49 1,031.94 1,073.20 1,100.12 57,523.60 59,688.25 24,476.65 9,385.96 100,102.91 91,889.46 41,924.16 20,510.45

Non- E GU 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Non- Road 0.48 0.42 0.29 0.16 4.46 3.91 2.75 1.57 0.44 0.16 0.03 0.01 Ar ea 5.35 6.81 7.34 7.39 4.97 5.19 5.32 5.49 0.66 0.67 0.64 0.62 MA R 0.30 0.28 0.17 0.07 12.84 12.14 7.87 3.85 1.13 0.77 0.28 0.09 O n-Roa d 2.03 1.81 1.06 0.68 59.34 50.43 26.89 12.94 1.02 0.34 0.16 0.16 La wr ence, O H E GU 0.00 0.94 0.69 0.14 0.00 96.19 105.90 110.06 0.00 0.69 0.21 0.00

Non- E GU 1.21 1.39 1.75 1.90 68.51 77.46 97.06 154.65 0.24 0.05 0.35 0.55 Non- Road 13.78 11.67 7.90 4.02 165.50 142.30 92.01 41.36 18.98 6.95 1.11 0.19 Ar ea 134.89 134.73 131.79 129.08 232.73 235.97 238.92 242.31 30.33 29.94 28.93 27.94 MA R 20.16 17.97 10.67 3.57 785.48 736.28 477.77 232.77 68.18 53.99 29.93 5.03 O n-Roa d 57.15 48.87 28.76 20.08 1,692.81 1,403.49 759.82 397.98 28.08 9.16 4.14 4.48 Sc ioto , O H E GU 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Non- E GU 84.20 138.92 111.08 102.50 570.12 659.89 512.83 407.21 977.12 1,477.24 993.09 723.09 Non- Road 37.43 33.07 22.69 12.33 324.89 281.37 185.85 89.77 36.15 13.28 2.17 0.42 Ar ea 199.12 290.87 327.40 330.38 240.86 254.58 262.42 272.52 36.63 37.53 35.89 34.61 MA R 37.29 32.74 18.94 5.44 1,337.52 1,245.14 805.82 387.53 116.50 100.91 66.76 32.41 O n-Roa d 70.26 61.40 37.35 24.56 2,081.20 1,761.97 983.09 486.95 34.53 11.52 5.39 5.47 No te : Fo r Par ti al Co u nti e s - M aso n, W V, La wr e nc e , KY , Adams , O H , G al l i a, O H - EG Us ar e al l l o c at e d i n par ti al c o u nty. O H and KY o m i tte d

no n-E G Us as m o st c o nser v at i v e . W V o nly i nc l u de d no n-E G Us l o c at e d i n par ti al c o u nty. No n-Ro ad, Ar e a and M AR we r e appo r ti o ne d base d o n po pu l at i o n data

. O n-r o ad was o nly c al c u l at e d fo r pao r ti o n o f c o u nty de sig nate d no natt ai nm e nt.Ta ble 4. Emission s Inv e nto r y Per c e ntag e s Attr i bu ta ble to O n-Ro ad M o bil e Emission s PM2.5 NO x SO 2 Sta te Sec tor 2005 2008 2015 2022 2005 2008 2015 2022 2005 2008 2015 2022 WV Ca bell Ma son ( 10.69% ) Wa yne E GU 890.99 1,110.97 313.26 342.55 22,576.61 10,999.03 10,500.11 5,838.11 84,878.38 38,172.86 33,633.13 15,967.64

Non- E GU 654.69 422.29 462.76 551.01 2,845.31 3,298.08 3,092.70 3,277.40 272.50 420.95 435.13 455.32 Non- Road 47.55 44.67 33.85 20.21 463.99 422.29 307.76 208.34 26.96 11.97 1.06 0.87 Ar ea 1,407.22 1,397.28 1,401.51 1,496.25 937.10 949.59 1,047.07 1,155.92 1,973.13 2,035.68 2,164.65 2,290.71 MA R 158.40 152.30 149.15 150.16 4,620.16 4,573.57 4,464.85 4,356.14 157.32 74.52 17.35 14.64 O n-Roa d 245.48 215.45 112.74 63.84 6,013.61 4,964.77 2,394.60 1,243.28 114.54 31.13 13.22 13.47 WV O n-Roa d P er centa ge 7.21% 6.44% 4.56% 2.43% 16.05% 19.70% 10.98% 7.73% 0.13% 0.08% 0.04% 0.07% K Y Boyd La wr ence (6.74% ) E GU 400.05 407.68 422.88 433.23 12,507.60 4,745.47 3,000.59 2,252.78 49,859.23 40,717.78 20,475.43 11,800.13

Non- E GU 1,200.70 1,449.68 1,455.23 1,458.01 6,943.93 7,116.32 7,453.89 7,803.35 9,650.25 10,188.42 11,065.41 12,012.04 Non- Road 11.80 10.58 7.67 4.75 175.00 154.25 103.24 52.47 8.73 3.79 0.88 0.25 Ar ea 351.57 361.69 383.47 392.70 47.01 49.88 56.25 62.65 550.86 576.48 600.66 625.99 MA R 114.69 111.84 87.24 64.32 3,078.27 3,007.82 2,243.00 1,534.61 430.72 391.52 294.60 198.19 O n-Roa d 121.61 104.18 54.28 30.77 2,843.94 2,311.75 1,225.13 685.60 12.65 12.36 12.62 12.83 K Y O n-Roa d P er centa ge 5.53% 4.26% 2.25% 1.29% 11.11% 13.30% 8.70% 5.53% 0.02% 0.02% 0.04% 0.05% O H Ada m s (8.69% ) Ga ll ia (4.05% ) La wr ence (6.74% ) Sc ioto E GU 4,356.12 4,618.17 4,643.84 4,644.91 87,729.42 91,043.38 50,253.94 32,772.75 225,173.25 127,836.35 69,001.94 43,787.18

Non- E GU 85.41 140.31 112.83 104.40 638.63 737.35 609.89 561.86 977.36 1,477.29 993.44 723.64 Non- Road 53.05 46.31 31.64 16.87 507.22 438.75 288.68 137.70 56.90 20.88 3.39 0.60 Ar ea 360.92 456.57 491.35 491.42 489.67 507.27 518.38 532.31 70.54 71.06 68.22 65.79 MA R 58.40 51.58 30.15 9.24 2,164.10 2,020.01 1,308.81 632.65 188.29 157.35 97.54 37.69 O n-Roa d 133.64 115.77 69.34 46.71 3,955.84 3,319.55 1,824.62 924.08 65.73 21.73 10.01 10.43 O H O n-Roa d P er centa ge 2.65% 2.13% 1.29% 0.88% 4.14% 3.38% 3.33% 2.60% 0.03% 0.02% 0.01% 0.02% Huntington Ashla nd WV-K Y

- O H NA A E GU 5,647.16 6,136.82 5,379.98 5,420.69 122,813.63 106,787.88 64,754.64 38,863.64 359,910.86 206,726.99 123,110.50 71,555.25

Non- E GU 1,940.80 2,012.28 2,030.82 2,113.42 10,427.87 11,151.75 11,156.48 11,642.61 10,900.11 12,086.66 12,493.98 13,191.00 Non- Road 112.40 101.56 73.15 41.82 1,146.20 1,015.29 699.67 398.50 92.59 36.65 5.32 1.75 Ar ea 2,119.71 2,215.53 2,276.33 2,380.37 1,473.78 1,506.74 1,621.70 1,750.88 2,594.55 2,683.22 2,833.53 2,982.48 MA R 331.48 315.73 266.54 223.72 9,862.53 9,601.71 8,016.67 6,532.39 776.33 623.40 409.49 250.52 O n-Roa d 500.73 435.40 236.36 141.32 12,813.39 10,596.07 5,444.35 2,852.96 192.92 65.22 35.85 36.73 NA A O n-Roa d P er centa ge 4.70% 3.88% 2.30% 1.37% 8.08% 7.53% 6.00% 4.46% 0.05% 0.03% 0.03% 0.04%