west virginia department of environmental protection

Appendix C

On-Road Mobile

Emissions Inventory

Documentation

Promoting a healthy environment.

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Table of Contents

Mobile Source Emissions Inventory for Huntington-Ironton-Ashland

PM2.5 Nonattainment Area. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Page 5

Analysis of Insignificance of Mobile Emissions. . . . . . . . . . . . . . . . . . . . . . . . . . . Page 79

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Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 4
Mobile Source Emissions Inventory

for Huntington-Ironton-Ashland PM2.5

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

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 5
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 PM2.5 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.

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Mobile Source Emissions Inventory for the Page 1

Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Mobile Source Emissions Inventory for the HuntingtonIronton-Ashland PM2.5 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 PM2.5

standard. The Huntington-Ironton-Ashland PM2.5 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 PM2.5, PM2.5 tirewear, PM2.5 brakewear, NOx and SO2.

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 1c show 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.

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Mobile Source Emissions Inventory for the Page 2

Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 1a. Mobile Source Emissions for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

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

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

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Table 1b. Mobile Source Emissions for the Huntington-Ironton-Ashland PM2.5

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

Primary PM2.5 - Tirewear Particulate 0.0105 3.61

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

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

Oxides of Nitrogen (NOx)

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Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 1c. Mobile Source Emissions for the Huntington-Ironton-Ashland PM2.5

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

Primary PM2.5 - Tirewear Particulate 0.0053 1.80

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Annual Emissions (tons)

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Pollutant Name Daily Emissions (tons)

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Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 2a. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Table 2b. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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

Primary PM2.5 - Tirewear Particulate 0.0044 1.51

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

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

Oxides of Nitrogen (NOx)

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Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 2c. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 2d. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Huntington-Ironton-Ashland PM2.5 Nonattainment Area

Table 2e. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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

Primary PM2.5 - Tirewear Particulate 0.0055 1.89

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

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

Oxides of Nitrogen (NOx)

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Table 2f. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Table 2g. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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

Primary PM2.5 - Tirewear Particulate 0.0002 0.05

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

Primary PM2.5 - Tirewear Particulate

Oxides of Nitrogen (NOx)

Primary PM2.5 - Brakewear Particulate

Sulfur Dioxide (SO2)

Primary Exhaust PM2.5 - Total

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

Oxides of Nitrogen (NOx)

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Table 2h. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Table 2i. Mobile Source Emissions by County for the Huntington-Ironton-Ashland PM2.5

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 PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

Primary PM2.5 - Brakewear Particulate

Primary PM2.5 - Tirewear Particulate

Primary Exhaust PM2.5 - Total

Oxides of Nitrogen (NOx)

Sulfur Dioxide (SO2)

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

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Background

US EPA published a Federal Register notice1 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, NOx, CO, PM10 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=0900006480ab1f98

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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 PM2.5 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 Appendix of 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 4 lists 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 domains – 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 NOx, all PM2.5 categories, SO2, total energy consumption

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 Performance None

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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 data. 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 offnetwork, 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. Socioeconomic

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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 Plan was 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.

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APPENDIX

Technical Documentation for Using

MOVES2010a to Develop Mobile Source

Emissions for the Huntington-IrontonAshland PM2.5 Nonattainment Area

March 2011

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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 PM2.5 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.

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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 PM2.5 standard, the interagency consultation specified the inclusion of total energy

consumption, all PM2.5 categories, NOx, and SO2.

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.

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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 1

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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 1

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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.

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 at

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 4 shows 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 62 732

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 31
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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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.

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 8 shows 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 9 shows the age distributions used for the Kentucky area (shown for the year

2008).

Table 7. West Virginia Non-Attainment Area Age Distributions

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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 0.0294

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0302

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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 0.0449

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 36
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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 0.0121

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 37
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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 Distributions

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 38
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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 0.0000

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 39
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-17

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0055

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 40
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-18

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0356

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 41
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-19

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0121

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 42
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-20

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 Distributions

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 43
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-21

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0000

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 44
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-22

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0318

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 45
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-23

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0216

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 46
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-24

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.0278

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 47
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-25

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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.

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 48
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-26

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.762365

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 unit

short-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 14 shows an excerpt of the hourly distribution data from the West Virginia area

in 2005.

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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.

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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 Data

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 Fractions

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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)

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 22-24 show 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 1

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 and

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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).

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 3,505

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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

2005

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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

2008

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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

2015

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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

2022

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 0.01325

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 Fractions

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 Fractions

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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 1 below. 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",

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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]",

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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,}

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Source Emissions for the Huntington-Ironton-Ashland PM2.5 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)

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 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 values

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 72
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-50

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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,)

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 73
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-51

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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",)

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 74
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-52

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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)

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 75
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-53

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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], "_")

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 76
APPENDIX – Technical Documentation for Using MOVES2010a to Develop Mobile Page A-54

Source Emissions for the Huntington-Ironton-Ashland PM2.5 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

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 77
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Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 78
Analysis of Insignificance of Mobile Emissions

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Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 80
Analysis of Insignificance of Mobile Emissions

2.5

In the West Virginia 1997 Fine Particle (PM ) State Implementation Plan for the West Virginia

Portion of the Huntington-Ashland, WV-KY-OH Nonattainment Area, Comprising Cabell and

Wayne Counties and the Graham Tax District in Mason County submitted May 27, 2009, West

Vi x 2.5 2rginia found that the regional highway emissions of NO , PM and SO were insignificant

contributors to the nonattainment problems and, therefore, none of the three pollutants required

the establishment of motor vehicle emission budgets (MVEB). As documented in West Virginia’s

attainment demonstration SIP, West Virginia DAQ, in consultation with U.S. EPA determined

that the Huntington-Ashland nonattainment area is not significantly impacted by on-road mobile

emissions as compared to other source sector emissions; in addition, mobile source emissions in

the area were expected to decrease significantly over the next decade. Based on the results of

mobile source emission projections prepared as part of this redesignation and maintenance plan,

Wes x 2.5t Virginia DAQ is again making a finding that the regional highway emissions of NO , PM

and SO2 continue to be insignificant contributors to the nonattainment problems in this area, as

discussed below.

U.S 2.5. EPA’s redesignation guidance requires the submittal of a comprehensive inventory of PM

precurso 2 xr emissions (SO , NO and primary particles – organic carbon, crustal matter and

elemen 2.5tal carbon) representative of the year when the area achieves attainment of the PM air

quality standard. West Virginia must also demonstrate the improvement in air quality between the

year that violations occurred and the year attainment was achieved is based on permanent and

enforceable emission reductions. Other emission inventory related requirements include a

projection of the emission inventory to a year at least 10 years following redesignation; a

demon 2.5stration that the projected level of emissions is sufficient to maintain the PM standard;

and a commitment to provide future updates of the inventory to enable tracking of emission levels

during the 10-year maintenance period.

The emissions inventory development process addresses emissions from several types of sources

or sectors: point (EGU and non-EGU); non-point or area, including fires (wildfires and prescribed

fires); marine, aircraft and rail (MAR); non-road and on-road mobile. The inventories, with the

exception of the on-road mobile sector, for the West Virginia portion of the nonattainment area

were developed as described in Chapter 4 of the narrative, and documented in greater detail in

Appendix B, while the inventories for the Kentucky and Ohio portions of the non-attainment area

were developed by LADCO as discussed in greater detail in Appendix D.

On-road (highway) mobile emissions inventories and projections for all counties were prepared by

Kimley-Horn and Associates Inc, with data provided by the Kentucky-Ohio-West Virginia

Interstate Planning Commission (KYOVA), Ohio Department of Transportation (ODOT), Ohio

EPA, West Virginia Department of Transportation (WVDOT) West Virginia Department of

Environmental Protection (WVDEP), Kentucky Transportation Cabinet (KYTC) and the

Kentucky Division of Air Quality (KDAQ). The mobile emission inventories were only generated

2.5

for the 1997 PM nonattainment areas, meaning that if a partial county was designated as

nonattainment, only that portion was modeled for inventory development (as opposed to the

entire county in which the nonattainment area is located).

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 81
Since the mobile emissions inventories only address nonattainment areas (county level or only

partial areas designated as nonattainment) and the remainder of the source sector inventories

[non-electric generating units (non-EGU), electric generating units (EGU), area, non-road and

MAR)] were developed for complete counties (which are not necessarily entirely classified as

nonattainment), West Virginia DAQ that an apportioning analysis approach would most

accurately provide for a determination of mobile emissions insignificance. The analysis

incorporates apportioning non-road, MAR and area emission sources from the entire county level

inventory to the partial nonattainment portion of the county based on the percentages of the

population in the county versus the partial area (based on the 2000 U.S. Census). This type of

apportioning was determined to be inappropriate for the EGU and non-EGU sectors. However,

for all partial nonattainment counties (Mason, WV, Lawrence, KY, Adams and Gallia, OH) within

the nonattainment area all EGU emissions within the county level inventory reside solely within

the partial area. Therefore, West Virginia DAQ apportioned all EGU emissions to the

nonattainment area. West Virginia DAQ then determined which significant non-EGU point

sources were located in the Graham Tax District of Mason County, and apportioned those

emissions to the partial area (see Figure 1. Map of Mason County, WV showing Graham Tax

District). Conversely, KY and OH determined that apportioning county level non-EGU emissions

into the partial area for all the years of interest would be more challenging, therefore they elected

to remove non-EGUs from the insignificance analysis ONLY in the partial nonattainment

counties. This is justified, as omitting the non-EGUs will provide for more conservative results

(i.e., the percentage of mobile emissions will be larger). Therefore, if the insignificance analysis

with the omission of non-EGUs results in a determination that on-road mobile emissions are

insignificant, performing the analysis with non-EGU apportioned will show even greater

insignificance. 

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 82
Figure 1. Map of Mason County, WV showing Graham Tax District

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 83
Table 1 shows the total population in each county that contains one or more partial nonattainment

areas, the total population in each partial nonattainment area, and the population percentage in

each partial nonattainment area relative to the county population. This data is based on the 2000

U.S. Census. The population percentages were used to apportion the county level emissions

(except mobile, EGU and non-EGU emissions) to the partial nonattainment areas.

Table 1. Total County Population, Partial Nonattainment Area Population, and

Percentage of County Population within the Partial Nonattainment Area

Population

Total % of County

Mason County, WV 25,957

Graham Tax District 2,774 10.69%

Lawrence County, KY 15,569

The area described by US Census 2000 block group 

identifier 21-127-9901-6

1,050 6.74%

Adams County, OH 27,330

Sprigg Township 1,639 6.00%

Monroe Township 735 2.69%

Gallia County, OH 31,069

Cheshire OH 1,259 4.05%

Sources: 2000 Census: http://censtata.census.gov/pub/Profiles.shtml

West Virginia Partial information:

http://www.epa.gov/oaqps001/greenbk/qhay.html

Kentucky 200 partial information:

http://www.census.gov/geo/www/cenpop/blkgrp/bg_21_ky_txt

Table 2 shows the emissions inventory data for the whole counties. Table 3 shows the

apportionment results. As noted above, the EGU sources are all located in the partial county areas

designated nonattainment, the mobile on-road emissions were only calculated for the partial areas,

and the non-EGU sources in KY and OH were omitted. Table 4 shows the percentage of the

em x 2.5 2issions of NO , PM and SO attributed to on-road mobile source emissions in each county,

partial county, state portion, and entire nonattainment area.

As shown in Table 4:

2

• On-road mobile source SO constitutes less than one tenth of one percent (<0.1%) of the

area’ 2s total SO emissions in the 2015 and 2022 horizon years.

x x

• On-road mobile source NO constitutes six percent (<6%) or less of the area’s total NO

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 84
emissions in the 2015 and 2022 horizon years.

2.5 2.5

• On-road source PM constitutes less than three percent (<3%) of the area’s total PM

emissions in the 2015 and 1022 horizon years.

Therefore, the West Virginia DAQ is herein making a finding that the area’s highway emissions

2 2.5 x

for SO , PM , and NO continue to be insignificant contributors to the nonattainment problem in

the Huntington-Ashland area, as agreed upon as part of the interagency consultation process.

Because of this finding, it is not necessary to establish mobile emission budgets for this area in the

2015 and 2022 horizon years.

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 85
Table 2. Emissions Inventory Data for Whole Counties

PM2.5 NOx SO2

County Sector 2005 2008 2015 2022 2005 2008 2015 2022 2005 2008 2015 2022

Cabell, WV EGU 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-EGU 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

Area 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

MAR 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

On-Road 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

Mason, WV EGU 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-EGU 15.50 92.20 28.60 81.87 41.42 50.64 302.63 802.95 0.88 156.76 65.63 214.03

Non-Road 17.37 14.78 9.97 5.59 163.69 156.28 127.03 94.66 11.15 4.91 0.37 0.28

Area 387.04 383.22 384.41 398.81 361.05 372.98 395.90 418.00 120.24 121.43 123.85 126.21

MAR 48.00 46.25 45.33 45.66 1,341.99 1,310.32 1,236.43 1,162.54 42.39 18.93 2.49 1.60

On-Road 1.19 1.10 0.64 0.38 31.12 27.36 15.33 8.72 0.54 0.16 0.07 0.08

Wayne, WV EGU 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-EGU 129.73 118.26 53.47 60.40 2,601.01 3,038.67 2,813.04 2,962.67 219.70 236.65 288.26 281.08

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

Area 504.49 498.09 498.55 521.10 173.50 175.95 192.12 210.04 494.32 510.44 544.15 577.18

MAR 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

On-Road 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, KY EGU 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-EGU 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

Area 345.58 355.57 377.29 386.49 41.22 43.92 50.02 56.14 544.34 569.78 594.03 619.38

MAR 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

On-Road 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

Lawrence,

KY

EGU 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-EGU 22.49 22.70 24.86 25.79 2.72 1.95 1.85 1.43 1.55 1.49 1.45 1.40

Non-Road 9.68 9.77 7.21 4.91 57.97 54.40 41.05 28.16 4.06 1.76 0.41 0.12

Area 88.84 90.74 91.70 92.09 85.89 88.43 92.45 96.64 96.47 99.37 98.36 98.02

MAR 18.79 17.82 13.33 9.05 635.31 613.37 444.15 286.03 66.03 54.52 38.28 21.04

On-Road 7.30 6.27 3.12 1.69 170.69 139.16 70.54 37.96 0.76 0.74 0.73 0.71

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 86
Table 2. Emissions Inventory Data for Whole Counties

Adams, OH EGU 3,344.63 3,585.29 3,569.95 3,544.65 30,205.82 31,258.94 25,671.39 23,276.73 125,070.34 35,946.20 27,077.57 23,276.73

Non-EGU 6.90 7.28 13.13 15.64 665.42 703.45 1,266.52 1,770.27 4.37 3.73 8.04 11.62

Non-Road 15.62 13.28 8.70 4.04 142.28 128.52 92.82 57.47 15.33 5.67 0.91 0.14

Area 247.97 278.00 285.55 282.69 127.85 132.58 134.84 137.93 33.56 33.54 31.73 30.08

MAR 7.39 6.79 4.21 1.74 325.30 307.93 199.67 97.77 28.54 19.33 6.61 1.79

On-Road 4.20 3.69 2.17 1.39 122.49 103.66 54.82 26.21 2.10 0.71 0.32 0.39

Gallia, OH EGU 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-EGU 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 11.87 10.33 7.22 4.07 110.23 96.65 67.88 38.85 10.76 3.98 0.67 0.15

Area 132.22 168.24 181.29 182.52 122.81 128.27 131.45 135.53 16.36 16.60 15.91 15.35

MAR 7.50 6.91 4.32 1.84 316.92 299.78 194.41 95.18 27.78 19.07 6.90 2.26

On-Road 2.03 1.81 1.06 0.68 59.34 50.43 26.89 12.94 1.02 0.34 0.16 0.16

Lawrence,

OH

EGU 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-EGU 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

Area 134.89 134.73 131.79 129.08 232.73 235.97 238.92 242.31 30.33 29.94 28.93 27.94

MAR 20.16 17.97 10.67 3.57 785.48 736.28 477.77 323.77 68.18 53.99 29.93 5.03

On-Road 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

Scioto, OH EGU 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-EGU 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

Area 199.12 290.87 327.40 330.38 240.86 254.58 262.42 272.52 36.63 37.53 35.89 34.61

MAR 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

On-Road 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

Note: For Partial Counties - Mason, WV, Lawrence, KY, Adams, OH, Gallia, OH - All sectors, except On-Road, include data for entire county.

On-road data was calculated for the non-attainment portion of the county only.

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 87
Table 3. Emissions Inventory Apportioned to Account for Partial Counties 

PM2.5 NOx SO2

County Sector 2005 2008 2015 2022 2005 2008 2015 2022 2005 2008 2015 2022

Cabell, WV EGU 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-EGU 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 

Area 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 

MAR 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 

On-Road 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 

Mason, WV

(Partial 10.69%)

EGU 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-EGU 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 

Area 41.37 40.97 41.09 42.63 38.60 39.87 42.32 44.68 12.85 12.98 13.24 13.49 

MAR 5.13 4.94 4.85 4.88 143.46 140.07 132.17 124.28 4.53 2.02 0.27 0.17 

On-Road 1.19 1.10 0.64 0.38 31.12 27.39 15.33 8.72 0.54 0.16 0.07 0.08 

Wayne, WV EGU 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-EGU 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 

Area 504.49 498.09 498.55 521.10 173.50 175.95 192.12 210.04 494.32 510.44 544.15 577.18 

MAR 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 

On-Road 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, KY EGU 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-EGU 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 

Area 345.58 355.57 377.29 386.49 41.22 43.92 50.02 56.14 544.34 569.78 594.03 619.38 

MAR 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 

On-Road 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 

Lawrence, KY

(Partial 6.74%)

EGU 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-EGU 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 

Area 5.99 6.12 6.18 6.21 5.79 5.96 6.23 6.51 6.52 6.70 6.63 6.61 

MAR 1.27 1.20 0.90 0.61 42.82 41.34 29.94 19.28 4.45 3.67 2.58 1.42 

On-Road 7.30 6.27 3.12 1.69 170.69 139.16 70.54 37.96 0.76 0.74 0.73 0.71 

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 88
Table 3. Emissions Inventory Apportioned to Account for Partial Counties 

Adams, OH

(Partial 8.69%)

EGU 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-EGU 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 

Area 21.55 24.16 24.81 24.57 11.11 11.52 11.72 11.99 2.92 2.91 2.76 2.61 

MAR 0.64 0.59 0.37 0.15 28.27 26.76 17.35 8.50 2.48 1.68 0.57 0.16 

On-Road 4.20 3.69 2.17 1.39 122.49 103.66 54.82 26.21 2.10 0.71 0.32 0.32 

Gallia, OH

(Partial 4.05%)

EGU 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-EGU 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 

Area 5.35 6.81 7.34 7.39 4.97 5.19 5.32 5.49 0.66 0.67 0.64 0.62 

MAR 0.30 0.28 0.17 0.07 12.84 12.14 7.87 3.85 1.13 0.77 0.28 0.09 

On-Road 2.03 1.81 1.06 0.68 59.34 50.43 26.89 12.94 1.02 0.34 0.16 0.16 

Lawrence, OH EGU 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-EGU 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 

Area 134.89 134.73 131.79 129.08 232.73 235.97 238.92 242.31 30.33 29.94 28.93 27.94 

MAR 20.16 17.97 10.67 3.57 785.48 736.28 477.77 232.77 68.18 53.99 29.93 5.03 

On-Road 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 

Scioto, OH EGU 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-EGU 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 

Area 199.12 290.87 327.40 330.38 240.86 254.58 262.42 272.52 36.63 37.53 35.89 34.61 

MAR 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 

On-Road 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 

Note: For Partial Counties - Mason, WV, Lawrence, KY, Adams, OH, Gallia, OH - EGUs are all located in partial county. OH and KY omitted

non-EGUs as most conservative. WV only included non-EGUs located in partial county. Non-Road, Area and MAR were apportioned

based on population data. On-road was only calculated for paortion of county designated nonattainment.

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 89
Table 4. Emissions Inventory Percentages Attributable to On-Road Mobile Emissions

PM2.5 NOx SO2

State Sector 2005 2008 2015 2022 2005 2008 2015 2022 2005 2008 2015 2022

WV

Cabell

Mason (10.69%)

Wayne

EGU 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-EGU 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 

Area 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 

MAR 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 

On-Road 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 On-Road Percentage 7.21% 6.44% 4.56% 2.43% 16.05% 19.70% 10.98% 7.73% 0.13% 0.08% 0.04% 0.07%

KY

Boyd

Lawrence (6.74%)

EGU 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-EGU 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 

Area 351.57 361.69 383.47 392.70 47.01 49.88 56.25 62.65 550.86 576.48 600.66 625.99 

MAR 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 

On-Road 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 

KY On-Road Percentage 5.53% 4.26% 2.25% 1.29% 11.11% 13.30% 8.70% 5.53% 0.02% 0.02% 0.04% 0.05%

OH

Adams (8.69%)

Gallia (4.05%)

Lawrence (6.74%)

Scioto

EGU 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-EGU 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 

Area 360.92 456.57 491.35 491.42 489.67 507.27 518.38 532.31 70.54 71.06 68.22 65.79 

MAR 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 

On-Road 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 

OH On-Road Percentage 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

Ashland

WV-KY-OH

NAA

EGU 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-EGU 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 

Area 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 

MAR 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 

On-Road 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 

NAA On-Road Percentage 4.70% 3.88% 2.30% 1.37% 8.08% 7.53% 6.00% 4.46% 0.05% 0.03% 0.03% 0.04%

Huntington, WV PM2.5 Redesignation & Maintenance Plan Appendix: Page C - 90