# APPENDIX A

Air Quality System (AQS) Data

# Regional Air Quality Analyses for Ozone, 

# PM2.5, and Regional Haze: Final Technical Support Document

April 25, 2008 States of Illinois, Indiana, Michigan, Ohio, and Wisconsin

The document can be found at: .b.llP://www.ladco.org@ports/technical sugport document/ tsd/tsd version iv april 25 2008 final.gQfState of Ohio Environmental Protection Agency

STREET ADDRESS:

Lazarus Government Center
50 W. Town St., Suite 700 Columbus, Ohio 43215 

### CERTIFIED MAIL

April 1, 2010 TELE: (614) 644-3020 FAX: (614) 644-3184 www.epa.state.oh.us MAILING ADDRESS:

P.O. Box 1049 Columbus, OH 43216·1049



### Cheryl L. Newton, Director
Air and Radiation Division U.S.EPA, Region V
77 West Jackson Boulevard Chicago, Illinois 60604

RE: 2009 SLAMS PM,s and Ozone Data Certification

Dear Ms. Newton:

Please find enclosed our SLAMS Report (AMP-450, AMP-450NC and AMP255) for calendar year 2009 as required in 40 CPR, Part 58, Section
58.15. The ambient concentration and the quality assurance data
have been completely submitted to the AQS database.

The remaining criteria pollutant data will be certified within the
month of April.

I certify that the Ozone and PM,., data in the report are accurate to the best of our knowledge taking into consideration the quality

assurance findings and only to the extent of the activities performed by Ohio EPA.

There were no incidents of air pollution that reached or exceeded
levels as specified by Section 51.151 which could cause significant
harm to the health of persons.

Sincerely,

# &/&rt/~~~ Robert Hodanbosi Chief, Division of Air pollution Control

Enclosure

@ Printed on Recycled Paper Ted Strickland, Governor Lee Fisher, LIeutenant Governor Chris Korleski, Director

Ohio EPA is an Equal Opportunity EmployerUNITED STATES ENVIRONMENTAL PROTECTION AGENCY

QUICKLOOK CRITERIA PARAMETERS

Sep. 8, 2010 Report Request ID: 787657 Report Code: AMP450

Selection Criteria Page 1 User ID: GYE

State County City

Site Parameter POC AQCR UAR CBSA CSA EPA Region Method Duration Begin Date End Date

39

39

39

39

21

21

21 061

017

025

165

015

037

117 GEOGRAPHIC SELECTIONS

PROTOCOL SELECTIONS

Parameter

Classification Parameter Method Duration

QUICK LOOK 88101

SELECTED OPTIONS

EVENTS PROCESSING

MERGE PDF FILES Option Type Option Value

EXCLUDE REGIONALLY CONCURRED EVENTS

YES SORT ORDER

1

2

3

4

5

6

7 Order Column

PARAMETER_CODE

STATE_CODE

COUNTY_CODE

SITE_ID

POC

DATES

EDT_ID

GLOBAL DATES

2007 Start Date End Date

2009 Tribal

APPLICABLE STANDARDS

Standard Description

PM25 24-hour 2006

PM25 Annual 2006Sep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 1 of 7 EXCEPTIONAL DATA TYPES

EDT DESCRIPTION

0

1

2

5 NO EVENTS

EVENTS EXCLUDED

EVENTS INCLUDED

EVENTS WITH CONCURRENCE EXCLUDEDSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 2 of 7 PM2.5 - Local Conditions (88101) Kentucky Micrograms/cubic meter (LC) (105)

SITE ID P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS 4TH

MAX CERT EDT

21-037-3002

21-037-3002

21-037-3002

21-117-0007

21-117-0007

21-117-0007 1

1

1

1

1

1 0584

0584

0584

0584

0584

0584 Highland Heights
Highland Heights
Highland Heights
Covington

Covington

Covington Campbell

Campbell

Campbell

Kenton

Kenton

Kenton 524A John

Hill Road

524A John

Hill Road

524A John

Hill Road

1401 DIXIE

HWY,

UNIVERSITY

COLLEGE

1401 DIXIE

HWY,

UNIVERSITY

COLLEGE

1401 DIXIE

HWY,

UNIVERSITY

COLLEGE 2007

2008

2009

2007

2008

2009 118

118

145

118

118

118 34.0

30.5

24.5

34.7

30.5

24.5 Y

Y 5

0

0

5

0

0 24-HOUR

98TH

PERCENTILE

VALUE

34.0

26.1

22.5

31.6

25.2

23.1 50

119

114

117

121

113 1ST

MAX 2ND

MAX 3RD

MAX

33.5

27.3

22.7

34.6

27.3

23.3 26.3

26.1

22.5

31.6

25.2

23.1 26.0

24.4

21.4

30.5

25.0

22.1 14.36*

11.83

11.34

14.20

11.99

11.04 WTD

ARITH

MEANSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 3 of 7 PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS 4TH

MAX CERT EDT

39-017-0003

39-017-0003

39-017-0003

39-017-0003

39-017-0003

39-017-0016

39-017-0016

39-017-0016

39-017-1004

39-025-0022

39-025-0022

39-025-0022

39-061-0006

39-061-0006

39-061-0006

39-061-0014 1

1

1

2

2

1

1

1

1

1

1

1

1

1

1

1 1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259 Middletown

Middletown

Middletown

Middletown

Middletown

Fairfield

Fairfield

Fairfield

Middletown

Batavia

Batavia

Batavia

Cincinnati

Cincinnati

Cincinnati

Cincinnati Butler

Butler

Butler

Butler

Butler

Butler

Butler

Butler

Butler

Clermont

Clermont

Clermont

Hamilton

Hamilton

Hamilton

Hamilton BONITA & ST

JOHN

BONITA & ST

JOHN

BONITA & ST

JOHN

BONITA & ST

JOHN

BONITA & ST

JOHN

400 NILLES

RD.

400 NILLES

RD.

400 NILLES

RD.

HOOK FIELD

AIRPORT

2400 CLERMONT

CENTER DR.

2400 CLERMONT

CENTER DR.

2400 CLERMONT

CENTER DR.

11590 GROOMS

RD

11590 GROOMS

RD

11590 GROOMS

RD

SEYMOUR &

VINE ST. 2007

2008

2009

2008

2009

2007

2008

2009

2007

2007

2008

2009

2007

2008

2009

2007 120

120

000

000

000

120

120

000

120

120

120

120

120

120

120

120 37.8

38.4

31.5

38.1

29.9

38.0

39.5

33.0

37.6

40.8

25.3

23.5

40.8

33.9

29.7

41.5 Y

Y

Y

Y

Y 0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0 24-HOUR

98TH

PERCENTILE

VALUE

36.8

27.1

25.3

30.9

22.8

34.5

31.5

27.2

36.4

33.5

23.6

22.0

34.7

27.0

24.2

36.5 118

119

116

58

59

115

118

113

112

114

116

121

296

174

122

109 1ST

MAX 2ND

MAX 3RD

MAX

37.1

31.2

27.4

30.9

22.8

36.8

32.7

29.5

36.9

34.1

24.5

22.4

39.2

28.1

26.3

38.1 36.8

27.1

25.3

27.3

22.2

34.5

31.5

27.2

36.4

33.5

23.6

22.0

38.1

28.1

24.2

36.5 35.3

26.3

24.3

27.2

21.9

34.0

27.6

25.5

35.5

33.1

23.5

21.8

37.2

27.0

23.9

36.2 15.41

13.69

12.68

14.32

12.49

14.94

13.75

13.08

14.63

14.01

11.75

11.01

14.63

12.48

12.11

16.59 WTD

ARITH

MEANSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 4 of 7 PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS 4TH

MAX CERT EDT

39-061-0014

39-061-0014

39-061-0014

39-061-0014

39-061-0040

39-061-0040

39-061-0040

39-061-0042

39-061-0042

39-061-0042

39-061-0043

39-061-0043

39-061-7001

39-061-7001

39-061-7001

39-061-8001 1

1

2

2

1

1

1

1

1

1

1

1

1

1

1

1 1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259 Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Sharonville

Sharonville

Norwood

Norwood

Norwood

St. Bernard Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton SEYMOUR &

VINE ST.

SEYMOUR &

VINE ST.

SEYMOUR &

VINE ST.

SEYMOUR &

VINE ST.

250 WM.

HOWARD TAFT

250 WM.

HOWARD TAFT

250 WM.

HOWARD TAFT

2101 W. 8TH

ST.

2101 W. 8TH

ST.

2101 W. 8TH

ST.

3254 E.

KEMPER RD.

3254 E.

KEMPER RD.

2059 SHERMAN

AVE.

2059 SHERMAN

AVE.

2059 SHERMAN

AVE.

300 MURRAY

RD. 2008

2009

2008

2009

2007

2008

2009

2007

2008

2009

2007

2008

2007

2008

2009

2007 120

120

000

119

120

000

142

120

120

000

120

120

120

000

142

120 37.7

34.3

40.1

35.3

41.9

31.5

28.5

39.2

33.5

36.5

37.2

35.0

40.9

34.2

30.5

37.4 Y

Y

Y

Y

Y

Y 0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0 24-HOUR

98TH

PERCENTILE

VALUE

33.0

27.1

34.7

31.1

34.7

25.5

24.8

35.9

27.5

27.0

34.0

28.2

33.7

30.3

25.7

35.4 119

355

58

62

107

107

116

110

111

109

116

117

111

112

119

110 1ST

MAX 2ND

MAX 3RD

MAX

33.3

33.9

34.7

31.1

35.3

26.6

25.7

36.3

32.2

28.2

34.0

28.5

35.0

31.9

27.8

36.3 33.0

29.5

33.0

30.4

34.7

25.5

24.8

35.9

27.5

27.0

34.0

28.2

33.7

30.3

25.7

35.4 31.7

29.1

32.1

25.1

33.1

25.0

24.8

33.6

27.5

26.3

32.6

28.0

32.0

28.9

25.7

32.8 15.12

13.40

15.25

13.89

15.09

12.62

12.73

15.90

14.40

13.71

14.85

13.32

15.09

13.74

12.97

16.07 WTD

ARITH

MEANSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 5 of 7 PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS 4TH

MAX CERT EDT

39-061-8001

39-061-8001

39-165-0007

39-165-0007

39-165-0007 1

1

1

1

1 1259

1259

1259

1259

1259 St. Bernard

St. Bernard

Lebanon

Lebanon

Lebanon Hamilton

Hamilton

Warren

Warren

Warren 300 MURRAY

RD.

300 MURRAY

RD.

416 SOUTHEAST

ST.

416 SOUTHEAST

ST.

416 SOUTHEAST

ST. 2008

2009

2007

2008

2009 120

120

120

120

120 37.4

30.8

40.8

27.7

26.5 Y

Y 0

0

0

0

0 24-HOUR

98TH

PERCENTILE

VALUE

31.0

28.7

33.6

24.2

23.6 115

117

114

118

119 1ST

MAX 2ND

MAX 3RD

MAX

31.8

30.8

36.6

25.7

25.6 31.0

28.7

33.6

24.2

23.6 30.8

28.5

33.3

23.3

22.4 14.40

13.44

13.98

11.92

11.70 WTD

ARITH

MEANSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 6 of 7 88101

88101

88101

88101

88101

88101 000

118

119

120

142

145 MULTIPLE METHODS

R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC R & P Model 2025 PM-2.5 Sequential Air Sampler MULTIPLE METHODS

GRAVIMETRIC

GRAVIMETRIC

GRAVIMETRIC
Gravimetric

Gravimetric PARAMETER METHOD

CODE COLLECTION METHOD ANALYSIS METHOD METHODS USED IN THIS REPORTSep. 8, 2010

Note: The * indicates that the mean does not satisfy summary criteria. UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM
QUICK LOOK REPORT (AMP450)

Page 7 of 7 PQAOS USED IN THIS REPORT

PQAO AGENCY DESCRIPTION

0584

1259 Kentucky Division For Air Quality Hamilton County Department Of Environmental Services

# APPENDIX B

Ohio 2005 SIP Base Year Inventory Discussion

### 1 

# OHIO 2005 Base Year PM2.5 SIP Inventory

Ohio Environmental Protection Agency Lazarus Government Center 50 West Town Street, Suite 700 Columbus Ohio 43215

Prepared by Ohio EPA

Division of Air Pollution Control Emissions Inventory Unit February 2008

### 2 

# Table of Contents

Section Page

Introduc tion ................................................................................................. 3

1.0 Point Sources ............................................................................................. 4

2.0 Area S ources .............................................................................................. 8

3.0 Non Road Sources........................................................................15

4.0 On Road Sources.......

.................. .................. ................ ................ .............17

5.0 MAR Sources..............................................................................43

Table

2-1 Categories included in the 2005 area source Inventory.............................8 2-2 Emission Factors used for Wood Bu rners included in area sources............11 3-1 NMIM NCD Tables for Specific Years and States ........................................... 

### 16

4-1 Federal Functional Class Categories............................................................ 

### 23 4-2 DVMT Summary by County



### .................................................................. . 24 4-3 Speed by Federal Functional Class ............................................................. 

### 28 4-4 Link Group Codes & Associated BPR Curves

.......................................... 

### 29 4-5 Mobile6 Inputs.................................................................................31 4-6 LADCO Data Output............................................. .............39 4-7 County Summary Table of MPOs by County......................................... .40 5-1 Number of operations and LTOs for 2005.............................................. 45 5-2 EDMS Aircraft Emissions ..................................................................50 5-3 Fleet Emission Fa ctor Categories ........................................................51 5-4 Pollutant by County (Sample) ............................................................. 54

. Figure

1............................... ......... Speed Comparison Graphs.....................................27

### 3 

# 2005 Base Year PM2.5 SIP Inventory for Ohio

Introduction

The State of Ohio has a nu mber of counties with air quality data showing nonattainment for the following PM 2



### . 5 

### standard:

• 

### Annual Standard = 15.0 ug/m3

The Clean Air Act Amendments (CAA A) requires all states to revise and submit State Implementation Plans (SIP) for areas which are classified as non-atta inment of the 1997 Fine Particle (PM 2



### . 5 

### ) National Ambient Air Quality St andards (NAAQS). The Federal Register ( Vol. 72, No. 79/ Wednesday, April 25, 2007) provides the emissions inventory rules and regulations for the PM 2



### . 5 

### Clean Air Fine Particle implementation rule. An electronic version of the document can be found at http://www.epa.gov/fedrgstr/EPAAIR/2007/April/Day-25/a6347.pdf.



### As part of the designation of non-attainment areas for PM 2



### . 5 

### standards, a new attainment demonstration SIP will be necessary. A key el ement in the overall SIP planning process is the need for an updated emissions inventory. This document presents the 2005 Base Year Pa rticulate SIP Emissions Inv entory for Ohio as required by the CAAA. It includes emissions for poi nt, area, on-road mobi le and non-road mobile for the State of Ohio.

This technical report document s the procedures and the me thodologies that were used in the development of daily emissions for all counties in Ohio. This report describes the following:

1. Identification of st ationary and mobile sources included in the inventory; 2. Sources of data, and data collecti on methods used in the development of the inventory; 3. Methods and procedures used to estimate emissions; and 4. Assumptions considered in t he development of the emissions inventories.

The intent of this report is to descri be how the inventory was prepared, and what information was considered in the inventory development.

This document is comprised of 5 sections , one section for each inventory type. The biogenic inventory is not being discussed in this document because Ohio EPA did not participate in the generation of this inventory. Lake Michigan Air Directors Consortium (LADCO) ran EPA’s BEIS model in the Em ission Modeling System (EMS) to generate Summer Weekday emissions for VOC and NOx.

### 4 

## SECTION 1

POINT SOURCES

Emissions and source specific data for point sources are collected for the 2005 baseyear SIP inventory by the Ohio Envir onmental Protection Agency (Ohio EPA.) The primary source of data for point sources is facility reported STARShip files. STARShip is a software package developed by Ohio EPA, Division of Ai r Pollution Control (DAPC), to assist the regulated community in prepar ing and submitting a variety of electronic permit applications and reports to the DAPC . These data are reported by the Title V facilities annually as part of the emission s fee/inventory process conducted by Ohio EPA and include emissions, process rates, oper ating schedules, emissions control data and other relevant information.

The STARShip files are electr onically transferred to the DAPC and stored into the Division’s Oracle database, STARS. The f iles are reviewed by the local air agencies and Ohio EPA district and central office staff. After review, the data are imported into Excel and linked with an Access® database to further process the information into the federally approved National Em ission Inventory (NEI) database format in version 3.0. The files are quality assured ag ain using the United States Environmental Protection Agency’s (U.S.EPA) QA/QC so ftware for format and content. The data is finally submitted to LADCO for emissions processi ng through the Emissions Modeling System. The State provided inv entory for Electric Generating Un its (EGU) is replaced with the Federal EGU inventory. T he EGU inventory is compiled by U.S. EPA’s Acid Rain Program. It is based on facility report ed emissions as meas ured by continuous emissions monitors. In conclusion, the final point source inventory is a hybrid of the federal EGU inventory and the state provided non-EGU units.

A major distinction typically made in emissi ons inventories is t hat between point and area sources. In this invent ory, point sources are sources for which individual records are maintained for that source. Such records are maintained for all Ohio Title V facilities (706 facilities statewide). The area source inventory accounts for facilities from nonTitle V facilities and calculates emissions information using surrogate emissions factors based on energy usage, population, employment records, or other reliable data. A more detailed discussion of t he area source inventory is pr ovided in Section 2. The point source inventory descr ibed herein is considered to be the most current and accurate source of emissions data available for 2005.

1.1 Point Source Process Emissions
Ohio EPA defines point source process emissions as those which occur at an identifiable Title V stationary stack or vent. Point source emissions not emitted from discrete stacks or vents are termed fugitive emissions and are discussed in Section 1.2.

### 5 1.1.1 Source Identificati on and Data Collection
The sources to be included in the 2005 base year inventory are identified using the Title V STARS database. Facility production and emissions data are included in this database. This information is fac ility-reported actual 2005 emissions.

1.1.2 Non-reactive VOC Emissions Adjustments
This section is primarily appl icable for VOC pollutants. S ources are required to identify emissions of photochemically non-reactive Volatile Organic Compounds (VOC.) Based upon this information, those emissions have been specifically excl uded from the 2005 base line inventory in accordance with U.S. EPA’s “Recommended Policy on the Control of Volatile Organic Co mpounds.” A complete list of the compounds that U.S. EPA has identified as being photochemically non -reactive, and therefore not included in the inventory, are listed below:

• Methane

• Ethane

• Methylene chloride

• Methyl chloroform

• Trichlorofluoromethane (CFC-11)

• Dichlorodifluoromethane (CFC-12)

• Chlorodifluoromethane (CFC-22)

• Trifluoromethane (HFC-23)

• Chlorofluoromethance (HCFC-31)

• Difluoromethane (HFC-32)

• Decafluoropentane (HFC-43-10mee)

• Ethylfluoride (HFC-161)

• Trichlorotrifluoroethane (CFC-113)

• Dichlorotetrafluoroethane (CFC-114)

• Chloropentafluoroethane (CFC-115)

• 2,2-Dichloro-1,1,1-trifluoroethane (HCFC-123)

• 1,1,2-Trifluoroethane (HCFC-123a)

• 2-Chloro-1,1,1,2-tetrafluoroethane (HCFC-124)

• Pentafluoroethane (HFC-125)

• 1,1,2,2,-Tetrafluoroethane (HFC-134)

• 1,1,1,2-Tetrafluoroethane (HFC-134a)

• 1,1-Dichloro-1-fluoroethane (HCFC-141b)

• 1-Chloro-1,1,-difluoroethane (HCFC-142b)

• 1,1,1-Trifluoroethane (HFC-143a)

• Fluoroethane (HCFC-151a)

• 1,1-Difluoroethane (HFC-152a)

• Pentafluoropropane (HFC-225ca)

• Pentafluoropropane (HFC-225cb)

• Hexafluoropropane (HFC-236ea)

• Hexafluoropropane (HFC-236fa)

• Pentafluoropropane (HFC-245ca)

• Pentafluoropropane (HFC-245ea)

• Pentafluoropropane (HFC-245eb)

### 6 • Pentafluoropropane (HFC-245fa)

• Pentafluorobutane (HFC-365mfc)

• Parachlorobenzotrifluoride (PCBTF)

• Methoxybutane

• Nonaflourobutane

• Heptafluoropropane ((CF 3 

### ) 2 

### CFCF 2 

### OCH 3 

### )

• Heptafluoropropane ((CF 3 

### )CFCF 2 

### OC 2 

### H 5 

### )

• Perchloroethylene

• Cyclic, branched or linear completely methylated siloxanes

• Methyl acetate

• Volatile methyl siloxanes

• Acetone



### 1.1.3 Emissions Esti mation Methodologies
Since source reported actual annual emi ssions are used in the 2005 base year inventory, no estimation methods are necessary . The reports are provided to LADCO in National Emissions Inventory Input Format (NIF) 3.0 format. LADCO imported and processed the NIF files in EMS and applied temporal and spat ial profiles to the annual emissions to calculate weekday emissions rate s. The final point source inventory is split into two separate reports, the Electric Generating Units (EGU) which is the U.S. EPA inventory for electric generating units a nd the non-EGU which is the state inventory minus the EGU units.

1.2 Point Source Fugitive Emissions
Another type of emissions data which is r equired to be filed from point sources is fugitive emissions. Before 1990, fugitive emissions were categorized as area sources due to the lack of detailed information availa ble for fugitive sources. However, since these emissions are now el ectronically reported in t he State’s ORACLE database, STARS, these emissions can be classified as point sources.

1.3 References Getting Started: Emissions In ventory Methods for PM2.5 U.S. Environmental Protection Agency, Research Triangle Park, NC, September, 1999.

Emissions Inventory Guidance for Implem entation of Ozone and Particulate Matter National Ambient Air Qaulity Standards (N AAQS) and Regional Haze Regulations

, Office of Air Quality Planning & Standards Research, Triangle Park, NC. November 2005.

Compilation of Air Pollution Emission Factors, Fourth Ed ition and Supplements, AP-42

. U.S. Environmental Protecti on Agency, Research Triangle Park, NC, September 1985.

### 7 Preparing 2002 Regional PM2.5 Emissions QAQPS PM Inventory Conference Inventory Conference San Diego, 2003.

Documentation for the 2002 El ectric Generating Unit Nati onal Emissions Inventory (NEI) . Eastern research group, Inc., 1600 Peri meter Park Drive, Morrisville, NC 27560 and E.H. Pechan and Associates, Inc., 5528–B Hempstead Way

### 8 

## SECTION 2

AREA SOURCES

Area sources are sources which are typically small, indivi dual, numerous, and have not been inventoried as specific point, mobile, or biogenic sources. For inventory purposes, they are grouped with other like sources into categories that allow emissions to be calculated collectively usi ng one methodology. Since area sources are traditionally defined at the county level, most methods are designed to estimate area source emissions at the county level.

Ohio EPA has either used published Emission Inventory Improvement Program (EIIP) 6 

### methodologies or selected other methodologies which are shared by other states. The decision of which methodology to use was lar gely based on Ohio’s data availability. Data which was not available on a county-lev el is estimated by assigning a percentage of the state’s total activity to each county based on the state’s popul ation or employment information. If Ohio county specific activity data is available throu gh Ohio EPA or other State Agencies, that data is us ed rather than allocating acti vity by percentage. Table 2-1 lists the sources which emit PM 2.5 

### , NO x 

### and SO 2 

### along with the respective EFs used to calculate each pollutant.

Table 2-1 Categories in the 2005 PM 2 

### . 5 

### SIP Area Source inventory

Area Source NO x 

### PM 2.5 

### SO 2 

### Section Commercial Natural Gas Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.1

Industrial Distillate Oil Combustion 20 lb/E3gal fuel 0.25 lb/E3gal fuel 42.6 lb/E3gal fuel 2.2

Industrial Residual Oil Combustion 55 lb/E3gal fuel 4.67 lb/E3gal fuel 157 lb/E3gal fuel 2.2

Industrial Natural Gas Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.2

Residential Coal Combustion 9.1 Lb/Ton Coal 3.8 Lb/Ton Coal 31 Lb/Ton Coal 2.3

Residential Distillate Oil Combustion 18 lb/E3gal fuel 0.83 lb/E3gal fuel 42.6 lb/E3gal fuel 2.3

Residential Natural Gas Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.3

Residential LPG Combustion 13 lb/E3gal fuel 0.17 lb/E3gal fuel 0.1 lb/E3gal fuel 2.3

Human Cremation 1.01E+01 lb/Ton cremated 0.0637 lb/Ton cremated NA 2.4

Structure Fires 1.4 Lb/Ton burned 10.8 Lb/Ton burned NA 2.5

Outdoor Wood Boilers 2.8 Lb/Ton 2.76E+1 Lb/Ton 4 E-1 Lb/Ton 2.6

### 9 Residential Wood Combustion

Non-Certified

Non-Catalytic

Catalytic 2.80E+00 lb/Ton

2.80E+00 lb/Ton

2.00E+00 lb/Ton 3.06E+01 lb/Ton

1.96E+01 lb/Ton

2.04E+01 lb/Ton 4.00E-01 lb/Ton

4.00E-01 lb/Ton

4.00E-01 lb/Ton 2.3

2.1 

### Commercial Natural Gas Combustion (SCC 2103006000)

The 2005 total state-level commercial sector energy consumption is obtained from the Energy Information Administration (EIA)’s State Energy Data System (SEDS), and apportioned per county based on population 4 

### . Emissions factors are given in table 2-1. The area source emissions are calculated ba sed on an adjusted value by subtracting the emissions due to point sources.

2.2 Industrial Fuel Combustion

Industrial Distillate Oil Combustion (SCC 2102004000)
Ohio’s fuel consumption is apportioned per county based on the county’s population 4



### . The area source NO X 

### emissions are calculated and adjusted by subtracting the emissions due to point source s. A heating value of 140 MMBTU/1000 Gal is used and 84,408 thousand gallons are consumed in 2005. [MMBTU stand for Million British Thermal Units]. Emissions fact ors are given in table 2-1.

SO 2 

### emissions were calculated us ing EF 42.6 Lb/1000 Gal. PM 10 

### and PM 2.5 

### emissions are calculated using 1Lb/1000 Ga l and 0.25 Lb/1000 Gal respecti vely. All Factors are obtained from AP-42 19



### Industrial Residual Oil Combustion (SCC 2102005000)
Ohio’s fuel consumption is apportioned per county based on the county’s population 4



### . The area source NO X 

### emissions are calculated and adjusted by subtracting the emissions due to point sour ces. 54,652 thousand gallons 14 

### are consumed in 2005 and a heating value of 140 MMBTU/1000 Gal is used. The SO 2 

### emissions are calculated using EF 157 Lb/1000 Gal. PM 10 

### and PM 2.5 

### emissions are calculated using 7.17 Lb/1000 Gal and 4.67 Lb/1000 Gal respectively. All factors are obtained from AP-42 19



### Industrial Natural Gas Combustion (S CC 2102006000)
Ohio’s fuel consumption is apportioned per county based on the county’s population 4



### . The area source NO X 

### emissions are calculated and adjusted by subtracting the emissions due to point sources. 293,857 MMCF 14 

### are consumed in 2005. The SO 2

### 10 emissions are calculated usi ng EF 0.6 Lb/MMBTU. The PM 10 

### and PM 2.5 

### emissions are calculated using 7.6 Lb/MMBTU. All factors were obtained from AP-42 19



### 2.3 Residential Fuel Combustion

Residential Coal Combustion (SCC 2104001000)
Ohio’s household consumption of coal is apportioned per county based on county population 4 

### . NO X 

### emissions are calculated using EF of 9.1 of coal. The SO 2 

### emissions are calculated using EF 31Lb/1000 Gal. The PM 10 

### and PM 2.5 

### emissions are calculated using 6.2Lb/Ton and 3.8 Lb/Ton respectively . All factors were obtained from AP-42 19



### Residential Distillate Oil Combustion (SCC 2104004000)
Ohio’s household consumption of distillate oil is apportioned per county based on county population 4 

### . NO X 

### emissions are calculated us ing EF of 18 lb/1000 gallons distillate fuel respectively. A heating value of 140 MMBTU/1000 Gal is used. The SO 2 

### emissions are calculated using EF 42.6 Lb/1000 Gal. The PM 10 

### and PM 2.5 

### emissions are calculated using 1.08Lb/1000 Gal and 0.83 Lb/1000 Gal respec tively. All factors are obtained from AP-42 19



### Residential Liquid Petroleu m Gas Combustion (LPG) (SCC 2104007000)
Ohio’s household consumption of LPG is apportioned per county based on county population 4 

### . NO X 

### emissions are calculated using EF of 13 lb/1000 gallons LPG. The SO 2 

### emissions are calculated usi ng EF 0.1 Lb/1000 Gal. The PM 10 

### and PM 2.5 

### emissions are calculated using 0.17Lb/1000 Gal. All factors are obtained from AP-42 19



### Residential Natural Gas Combustion (SCC 2104006010)
Ohio’s household consumption of LPG is apportioned per county based on county population 4 

### . NO X 

### emissions are calculated using EF of 94 lb/MMSCF. MMSCF stands for Million Standard Cubic Feet. This source also emits SO 2 

### emissions which are calculated using EF 0.6 Lb/MMBTU. The PM 10 

### and PM 2.5 

### emissions are calculated using 7.6Lb/MMBTU. All fact ors are obtained from AP-42 19



### Residential Wood Combustion

NO X 

### emissions from this area source are ca lculated for seven types of residential heating units that utilize wood for fuel. They are listed below with the appropriate SCC:

Fireplaces without inserts 2104008001 Fireplaces with inserts cataly tic (non-U.S. EPA cert) 2104008002 Fireplaces with inserts non -catalytic 2104008003 Fireplaces with inserts catalytic (U.S. EPA cert) 2104008004 Wood stoves – Conventional 2104008010 Woodstoves – Catalytic 2104008030 Wood stoves – Non catalytic 2104008050

### 11 The number of Ohio homes with fireplaces ar e adjusted for those t hat burn wood. The following assumptions are applie d to those adjusted homes:

92 percent of wood combust ed in non-certified units 5.7 percent of wood combusted in non-catalytic units 2.3 percent of wood combusted in catalytic units

A state consumption value is applied which is apportioned to each county based on its population 4 

### . Table 2-2 shows the EF used for each of the seven types of indoor wood burners which make-up this category:

Table 2-2 Emission Factors Used for Wood Burners

SCC 2104008002 210400 8003 2104008004 SCC 2104008010 210400 8050 2104008030 SCC 2104008001 RAPIDS Code Non-Certified N on-Catalytic Catalytic Units
SO 2 

### 4.00E-01 4.00E-01 4.00E-01 Lb/ton
NO X 

### 2.80E+00 2.80E+00 2.00E+00 Lb/ton PM 2.5 

### 3.06E+01 1.96E+01 2.04E+01 Lb/ton

To avoid double counting of wood consumption for fuel, this category is adjusted by subtracting the wood consumption from OWB to allow this category to account only for indoor wood burning emissions.

Residential Wood combustion also emits SO 2 

### which is calculated using EF 0.4 Lb/Ton EF. The PM 2.5 

### emissions are calculated using EF as shown in table 2-2. All factors are obtained from AP-42 19



### 2.4 Human Cremation (SCC 2810060200)

Not all Ohio counties possess a crematory so only those counties with crematories are used to calculate the number of cremations and their resulting NOx emissions. The 2005 cremation data is obtained fr om the Ohio Department of Health, Vital Statistics 17



### . It is estimated that 3% of deaths occur outsi de the State of Ohio with no available data to account for their disposition at the time this area source is being calculated. Therefore, those deaths are not accounted for in this category. The methodology does not offer an EF for NOx for this category nor is NOx required to be calculated for this area source. Ohio f eels that it is a combustion source and NOx needs to be included in the inventory al ong with the other com bustion sources. Through its Permits-to-Install for human crem ation, Ohio has se lected a NOx EF of 10.13lb/ton cremated to calculate emi ssions from this area source.

### 12 This source also emits PM, PM 10 

### , and PM 2.5 

### emissions which are calculated using EF 0.1 Lb/Ton, 0.071Lb/Ton and, 0.0637 Lb/Ton respec tively. All factors are obtained from AP-42 19



### 2.5 Structur e Fires (SCC 2810030000)

The Structure Fires category includes resid ential and commercial fires resulting from unintentional actions. Intentional fires, fo rest and wildfires, agricultural, and vehicle burning are not included in this area source

. The State Fire Marshall Office, Fire Prevention Bureau 15 

### provided data on the number of st ructure fires per county in 2005.

This area source is consider ed a combustion source for NO X 

### emissions which are calculated using EF 1.4 lb/ton burned. The residential and commercial structures fires for each county are tabul ated and a fuel load ing of 1.15 Ton/fire is applied. This source also emits PM, PM 10 

### , and PM 2.5 

### emissions which are calculat ed using EF 10.8 Lb/Ton. This factor was obtained from AP-42 19



### 2.6 Outdoor W ood Boilers (SCC 2104008070)

Outdoor Wood Boilers (OWB), are also known as outdoor water stoves and outdoor wood furnaces, are used as outdoor residenti al heaters. These boilers have wood burning fireboxes surrounded by a water reserv oir vented by a chimney stack. The combustion of the wood in t he firebox heats the water in the surrounding reservoir and the heated water is pumped to the residence. OWB units can also supply residential hot water. The water capacit y ranges from 60 gallons to 764 gallons. The operational design creates long periods where the fire smolders and creosote is formed 13



### .
When the water circulating through the furn ace reaches an upper set point, the air supply to the fire is cut-off, cooling the fire so the water will not overheat. The furnace operates in this "idle" mode until the water te mperature hits a lower set point and the air supply is re-established. The OWB may be in idle mode far longer than in operating mode. This type of operating causes very poor combustion and heavy foul smoke. Most of the smoke emitted is fi ne condensed organic material t hat does not burn under cool, oxygen starved conditions. In addition, many owners burn green wood full of moisture which also causes poor combustion 12



### . The smoke created from these outdoor wood burning units can contain severa l pollutants that are harmful to breathe, including fine particle pollution such as PM 2.5 11 

### in addition to NOx (research assisted by Deborah Lucas, DAPC intern, 2007)

This new area source category has many unknowns and variables associated with it and Ohio does not possess accurate OWB uni t sales data available to calculate emissions on the county level. Therefore, several assu mptions are made in agreement with the Great Lake States in order to formulate a homogeneous inventory for the region.

### 13 The assumptions are as follows:

• 100% of wood combusted in non-certified units.

• OWB units to be 90% in rural counties and 10% in urban counties

• 11.68 cords of wood consumption per unit per year (includes heating efficiency of 30-40%)

• 5 months heating season = 3650 hours (24/7)

• PM 2.5 

### emissions factor (g/kg wood) =13.82 (Average of indoor and outdoor) or 27.64 lb/ton of wood

The agreed upon methodology requi res that total number of OWB sold in Ohio be apportioned to each county based on rural or urban designation while observing the 9:1 ratio in area sales. The guesstimated factor s (see above) are applied to calculate the emissions from this outdoor wood burner. Total emissions obtained from this category are subtracted from the Residential Wood Co mbustion category to allow for accurate emissions from the indoor wood burning units.

2.7 References

1. Documentation For the 2002 Non-Point S ource National Emission Inventory For CAPS and HAPS . U.S. Environmental Protecti on Agency. Emissions Factor and inventory Group. E.H Pe chan and Associates, Inc. January 2004.

2. United States Census Bureau. Population Division. http://eire.census.gov/popest/data/c ounties/tables/CO-EST 2002/CO-EST2002-01- 39.php (Accessed 2003)

3. United States Census Bureau. County Business Patterns. http://censtats.census.gov/cbpnaic/cbpnaic.shtml (Accessed 2003)

4. Ohio Department of Development, Office of Strategic Research. Population Projects by Age and Sex: 2005-2030. http://www.odod.ohio.gov /research/files/p200.htm (Accessed August 2006)

5. Environmental Protection Agency (EPA). 1999 Base Year Non-point Source National Emission Inventory for Hazardous Air Pollutants, Research Triangle Park, NC. September 28, 2001.

6 . Environmental Protection Agency ( EPA). STAPPA-ALAP CO-EPA Emission Inventory Improvement Progr am (EIIP). Volume III - Area Sources Preferred and Alternative Methods. November 1996.

7. Documentation for the Dr aft 1999 National Emissions In ventory (Version 3.0) for Criteria Air Pollutants and Amm onia. Area Sources. E. H. Pechan & Associates, Inc. March 3, 2003

### 14 8. U.S. Environmental Pr otection Agency, STAPPA-ALAPC O-EPA Emission Inventory Improvement Program (EIIP), Volume III - Area Sources Preferred and Alternative Methods, Chapter 8. September 1997.

9. Spreadsheet formulation provided by “Buzz” David Asse lmeier, Air Quality Planning Section, Inventory Group, Springfield, Illinois.

10. Environmental Protection Agen cy (EPA). STAPPA-ALAPCO-EPA Emission Inventory Improvement Progr am (EIIP). Volume III - Area Sources Preferred and Alternative Methods. May 1997.

11. (Environmental Chemistr y.com) viewed on Feb 8th, 2007. [http://environmentalchemistry.com/yogi /environmental/200602out doorwoodfurnaces.ht ml ]

12. (Washington State, Department of Ecology) viewed on Feb 8th, 2007 [http://www.ecy.wa.gov/progr ams/air/AOP_Permits/Boiler /Outdoor_Boilers_home.html]

13. U.S. Environmental Protection Agen cy. Reducing Pollution from Outdoor WoodFired Hydronic Heaters. Fact Sheet http://www.epa.gov/owhh/ pdfs/fact_sheet_1_29_07.pdf (Accessed 1/2007)

14. Industrial Sector E nergy Price and Expenditure Estimates, 1970-2001, Ohio. Energy Information Administration. U. S. Department of Energy. http://www.eia.doe.gov/emeu/st ates/sep_prices/ind/pr_ind_oh.html http://www.eia.doe.gov/em eu/aer/pdf/pages/sec1_27.pdf (Accessed 2003)

15. State Fire Marshal Office. Fire Prevention Bureau, Columbus, Ohio. http://www.com.state.oh. us/odoc/sfm/firecont.htm (Accessed 2003)

16. Documentation for the Draft 1999 National Emissions In ventory (Version 3.0) For Criteria Air Pollutants and Amm onia. Area Sources. E. H. Pechan & Associates, Inc. March 3, 2003

17. Ohio Department of Health, Vital Statistics

18. Environmental Protection Agency. STAPPA-ALAPCO-EPA Em ission Inventory Improvement Program (EIIP). Volume X – Emissions Projections. December 1999. http://www.epa.gov/ttn/chief/eiip/techreport/volume10/x01.pdf (Accessed 2/2007)

19. Environmental Protection Agency. AP-42. http://www.epa.gov/ttn/chief/ap42/

### 15 

## SECTION 3

NON-ROAD SOURCES

The non-road inventory is gener ated regionally by running U. S. EPA’s Nati onal Mobile Inventory Model (NMIM) model. The Wi sconsin Department of Natural Resources undertook the responsibility of customizing the NMIM input files and submitting the output file in NIF format to LADCO and U.S. EPA. LADCO process ed the NMIM files in their emissions model and generat ed daily emissions rates. Grant Heatherington from the Wisconsin Department of Natural Reso urces provided the following descriptions...

The National Mobile Inventory Model (NMIM) developed by USEPA was used to estimate emissions for all other non-road m obile categories. NMIM consolidates nonroad mobile emissions and on-road emissions modeling into a singl e modeling system. Only the non-road emissions modeling portion of NMIM was used in the development of this emission’s inventory. NMIM uses the USEPA’s NONROAD model to calculate nonroad mobile emissions. The basic NONROAD algorithm for calculating emissions uses base year equipment populati ons, average load factors, available engine powers, activity hours and emission factors. Before NMIM was run, modifications and additions were made to the NM IM input data.

a. Added emission factors for diesel ta mpers/rammers provided by E.H. Pechan & Associates, Inc. Diesel tampers/rammers are a type of construction equipment.

b. Revised PM 2.5 

### ratios in SCC table to correctly calculate PM 2



### . 5 

### diesel emissions. This error was introduc ed with NMIM2005 and didn’t exist in NMIM2004.

c. Revised gasoline parameter s using updates provi ded by the states and E.H. Pechan & Associates, Inc. Ga soline parameters include Reid Vapor Pressure (RVP), oxygenate c ontent and sulfur content.

The NMIM NEI NIF files are on the LADCO ftp site at: ftp://ftp.airtoxics.org/in v2005/nonroad/NMIM /Base_L_ph2/2005/



## Revised NMIM2005 Input Data

Emission Factor Data

All States: Pechan revised the brake specific fuel consumption (BSFC) emission factor data to include diesel tampers/rammers (2270002006). The revised NMIM file is saved as revBSFC.EMF.

### 16 Population Data

For 26000.pop, replaced default file supplied with NMIM2005 with 26000_rev_NMIM05.pop that contains revised construction data missing from 26000.pop external file provided with NMIM2005. This Michigan construction data should have been added with the other LADCO states modified construction data but was overlooked.



### SCC Data

The default SCC table of NCD20060201 is replaced by a version that contains corrections to the PM25fac field that earlier NCDs contained (i.e. changed from 0.92 to 0.97 for diesel non-road equipment) in NONROAD2004.



### Fuel Data

LADCO States: Pechan revised four tables (countyyear, countyyearmonth, datasource and gasoline) in the National County Database (NCD) used by NMIM to incorporate new fuel data. AIR revised gasoline characteristics per instructions from the states. Also, gasoline characteristic revisions for 2005 provided by states were incorporated. Additional revisions were incorporated into 2002 data for non-road Stage 2 controls. Depending on the year being modeled, different versions of the revised tables are used. Also, the countynrfile, countyyear and datasource tables were revised to reference the new activity, allocation, growth, population and seasonality files described above. NCD tables with names ending in “def” are default versions of the table. See table below for the appropriate versions of the tables for the selected
years.

Non-LADCO States: The countynrfile, countyyear and datasource tables were revised to reference the new activity, allocation and seasonality files described above. See table below for the appropriate versions of the tables for the selected years.



### Table 3-1 NMIM National County Database Tables for Specific Years and States

States
Years 1999 (WI only) 2002, 05, 07, 08, 09, 12 and 18 LADCO states countynrfile_NMIM05_rev, countyyear_NMIM05_rev, countyyearmonth_NMIM05_w _05_12_18_rev, datasource_NMIM05_rev, gasoline_NMIM05_def SCC_NCD20060201_rev (used when NCD20060201 is used) countynrfile_NMIM05_rev, countyyear_NMIM05_rev , countyyearmonth_NMIM05_w_05_12_18_rev, datasource_NMIM05_rev, gasoline_NMIM05_w_05_12_18_rev SCC_NCD20060201_rev (used when NCD20060201 is used)

### 17 

## SECTION 4

ON-ROAD SOURCES

A mobile source of air pollution is a self-p ropelled or portable emi tter of air pollutants, and mobile source emissions are those genera ted by the engines or motors that power such sources. Most mobile sources, exce pt jet or turboprop ai rcraft, are powered by internal combustion (IC) piston engines, and nearly all use liquid fuels.

Gaseous fuels, such as compressed natur al gas (CNG) or li quefied petroleum gas (LPG), had only a very small fraction of the motor fuel market in Ohio in 2005. Solid fuels have not been used by mobile sources in significant amounts since railroads retired their coal-powered steam locomotives in the 1950s.

4.1 Categories of Mobile Sources For inventory and planning pur poses, mobile sources ar e divided into two major categories.

1. On-highway mobile sources (usually referred to as on-road ), e.g., motor vehicles such as cars, vans, trucks, buses and motorcycles used for transportation of goods and pa ssengers on roads and streets

2. Off-highway (usually referred to as non-road ) mobile sources including:

• Modes of powered transportation that do not use roads, such as aircraft, trains, ships and boats, and motor vehicles used off-road.

• Self-propelled or portable motoriz ed machines or equipment not used for transportation, ranging from constructi on equipment and farm tractors to lawnmowers and hand-held power weed choppers.

Mobile Sources: All on-road mobile source s are self-propelled.

Non-road Mobile Sources: Some non-road mobile source s (e.g., farm tractors), are self-propelled, but many non-road sources ar e not. A gasoline-powe red chain saw is a familiar example of a non-self-pr opelled non-road mobile source.

Stationary Sources: Not all movable or portable emi ssion sources are mobile sources, however. A small truck-portable cement or hot-mix asphalt plant, for example, may be set up near a construction or road-building site . Such plants are classified as stationary sources, not mobile sources for two reasons: (1) they may operate for weeks or months at a single location, and (2) the trucks that move the plants do not supply power for them.

### 18 NOTE: Not all Internal Combustion engines (IC) or turbine engines are mobile sources. Fixed IC engines, such as those that pow er pipeline compressors or standby generators in electricity plants and elsewhere, are al so classified as stationary sources.

4.1.1 Categories and Componen ts of Mobile Source Emissions

There are three categories of mobile source emissions:

• Exhaust or tailpipe emissions , which result from the combustion of fuel in the source’s engine

• Evaporative emissions , which result from evaporation of fuel from the engine or its fuel system

• Refueling emissions

Exhaust Emissions: Are the result of fuel combustion and occu r only when the engine is running.

Evaporative emissions: Are Volatile Organic Compou nd (VOC) based only and are continuously emitted from an engine’s fuel syst em, whether the engine is running or not. Gasoline is a very volatile fuel, so total VOC emissions from gasoline powered vehicles have a large evaporative component. Diesel and je t fuels are of very low volatility, so evaporative emissions from diesel and turbi ne engines are a much smaller part of their total VOC emissions. Evaporative emission s for CNG or LPG powered vehicles are negligible because their fuel tanks and systems are of necessity, sealed.

Evaporative and exhaust VOC emissions can be calculated separately for most mobile source categories. Evaporative emissions do not include VOC emissions that occur during refueling.

Refueling Emissions: These emissions are the third category of mobile source emissions. Refueling emissi ons are entirely VOC. Alth ough they result from the evaporation of fuel, they ar e distinct from, and not dire ctly related to, evaporative emissions as defined above.

Refueling emissions have two subcomponents:

• Displacement emissions . These occur when new fuel is transferred into a partly filled tank--be it a service station stor age tank, a portable fuel container (gas can), or a vehicle or engine’s fuel tank; displacing the air in the tank and forcing that vapor-rich air out the inlet pipe or other vent. There are two stages of displacement emissions:

o “ Stage I ” emissions occur when the underground storage tanks at a service station are being refilled;

### 19 o “ Stage II ” emissions occur when a motor vehicle (or gas can) is being refueled.

NOTE: These emissions are covered in , “Area Sources,” section 3.6.

• Spill emissions . These occur when drops of fuel drip or splash on the ground during or after refueling and evaporate away.

4.2 Ohio On-Road Mobile Source Inventory

The inventory of on-road mobile source emissions was developed in conjunction with the Ohio Department of Transportation (ODOT), Lake Michigan Air Director’s Consortium (LADCO), Unit ed States Environmental Protection Agency (USEPA), and the Ohio EPA (OEPA). Estimates of the amounts of NOx and VO C are reported by county in tons per day. Emissions are repor ted for a typical ozone season weekday in the summer of 2005.

4.2.1 Emission Inventories Developed with MOBILE6 Model

MOBILE6 Overview:

MOBILE6 is a computer program that es timates hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NO x 

### ), exhaust particulate matter (which consists of several components), tire wear particula te matter, brake wear particu late matter, sulfur dioxide (SO 2 

### ), ammonia (NH 3 

### ), six hazardous air pollutant (HAP), and carbon dioxide (CO 2 

### ) emission factors for gasoline-f ueled and diesel highway moto r vehicles, and for certain specialized vehicles such as natural-gas-fuel ed or electric vehicles that may replace them. The program uses the calculation procedures presented in technical reports posted on EPA's MOBILE6 Web page http ://www.epa.gov/otaq/models.htm.

MOBILE6 emission factor estimates depend on various conditions, such as ambient temperatures, travel speeds, operating modes, fuel volatility, and mileage accrual rates. Many of the variables affe cting vehicle emissions can be specified by the user. MOBILE6 will estimate emission factors fo r any calendar year between 1952 and 2050, inclusive. Vehicles from the 25 most re cent model years are considered to be in operation in each calendar year.

4.2.2 MOBILE6 Defaults:

MOBILE6 includes default values for a wide range of conditions that affect emissions. These defaults are designed to represent “ national average” input data values. Users who desire a more precise estimate of local emissions can substitute information that more specifically reflects local conditions. Use of local input data will be particularly common when the local emission inventor y is to be constructed from separate

### 20 estimates of roadways, geographic areas, or ti mes of day, in which fleet or traffic conditions vary considerably.

A list of MOBILE6 input parameters is provi ded below. Most of these inputs are optional because the model will supply default values unless alternate data are provided.

4.2.3 MOBILE6 Input Parameters

• Calendar year

• Month (January, July)

• Hourly Temperature

• Altitude (high, low)

• Weekend/weekday

• Fuel characteristics (Reid va por pressure, sulfur content, oxygenate content, etc.)

• Humidity and solar load

• Registration (age) distribution by vehicle class

• Annual mileage accumulation by vehicle class

• Diesel sales fractions by vehicle class and model year

• Average speed distribution by hour and roadway

• Distribution of vehicle miles traveled by roadway type

• Engine starts per day by vehi cle class and distribution by hour

• Engine start soak time distribution by hour

• Trip end distribution by hour

• Average trip length distribution

• Hot soak duration

• Distribution of vehicle miles traveled by vehicle class

• Full, partial, and multiple diurnal distribution by hour

• Inspection and maintenance ( I/M) program description

• Anti-tampering inspection program description

• Stage II refueling emissions inspection program description

• Natural gas vehicle fractions

• HC species output

• Particle size cutoff

• Emissions factors for PM and HAP

• 

### Output format specific ations and selections

4.2.4 MOBILE6 References

The following publications prov ide much of the guidance fo r the preparation of the onhighway inventory.

EPA-450/4-81-026d (Revised), now EPA/450-R-92-009, Procedures for Emission Inventory Preparation , Volume IV: Mobile Sources , December 1992. Hereafter, “Procedures Vol. IV”. The 1992 vers ion is still the definitive document on

### 21 inventories. If a previous edition is referr ed to, the fact will be not ed as, for example, “the 1989 Procedures Vol. IV” or “Volume IV, 1989 edition”.

EPA420-R-03-010, User’s Guide to MOBILE6.1 and MOBILE6.2: Mobile Source Emission Factor Model
, August 2003. This is the User’s Guide for the official MOBILE6.2.03 on-highway mobile source em ission factor model and will usually be referred to as the M6.2 (or simply M6) User’s Guide (UG). The M6 model in its various versions was developed and publis hed by Assessment & Modeling Division (AMD) of the National Vehicle & Fuels Em issions Laboratory (NVFEL) in Ann Arbor, Michigan. The NVFEL is part of USE PA Office of Transportation & Air Quality (OTAQ), formerly the Office of Mobile Sources (OMS).

Technical Guidance on the Use of MOBILE6 for Emission Inventory Preparation , August 2004. Hereafter, the M6 “Technical Guidance [Document]” or “TGD”. The TGD is the pr imary source of guidance on M6 inputs and an invaluable adjunct to the M6 User’s Guide.

USEPA document “Frequently Asked Questions on MOBILE6” , 16 January 2002. Hereafter, [M6] “FAQ”. This document was published along with the M6 TGD.

USEPA memo, “Policy Guidance on the Use of MOBILE6 for SIP Development and Transportation Conformity” , dated 18 January 2002, from John Seitz, Director of OAQPS, and Mar go Oge, Director of OTAQ, to Regional Air Division Directors.

4.3 Ohio’s Alternate Data for MOBILE6 Alternative data is state-specif ic data that is used in the M obile6 runs. Using local data is preferred to using the default data in Mobi le6. Efforts are made to collect as much local data as possible.

4.3.1 Vehicle Registra tion Distribution by Age

Overview:

The vehicle age distribution determines the fr action of vehicles operating within each emissions control requirement standard and the deterioration of the emission control technology.

Emission rates vary widely between new and older vehicles. Thus, even small changes in fleet age, particularly for older vehicles , may result in large changes in emission totals.

### 22 The MOBILE6 model requires esti mates of a distribution of r egistered vehicles by age and vehicle category for current and future years. MOBILE6 default values were developed using national level vehicle registration data by age and class for July 1, 1996. EPA developed a methodology to convert t he July 1, 1996 registration profile into a general registration distribut ion by age and by vehicle ca tegory for some 6 composite (gasoline and diesel) vehicle types plus motorcycles. To project future changes, EPA evaluated general sales growth and vehicle scrappage trends for the total light-duty vehicle in-use fleet and the total heavy-dut y vehicle in-use fleet, and made minor adjustments, where possible, to reflect some of the differences between vehicle categories.

Description: The MOBILE6 model requires estima tes of a distribution of registered vehicles by age and vehicle category for curr ent and future years. OEPA chose to use local vehicle registration data provided by the Ohio Bureau of Motor Vehicles (BMV) which was sent to the Lake Michigan Air Dir ectors Consortium (LADCO) to develop these inputs. LADCO then contracted with a subcontractor to breakout the age distribution data from the Vehicle Identification Num bers (VIN).

Note: It was learned during the course of this inventory that there were some discrepancies in the age distribution data. But it was too large of a project to reevaluate the data prior to this invent ory. This will be corrected in the next inventory (2008).

Method Applicability: This approach is most applic able in areas where there are significant differences in the local vehicle fleet age distribution rela tive to the national
average.

Data Sources and Procedures: This approach involves using local vehicle registration data. This is typically available at the county level, but may also be applied using statewide data from the stat e motor vehicle registration office. The fleet age should be representative of the vehicle fleet over the small urban or rural area under question.

Advantages:

• Uses locally specific registration data, which is likely more representative of the local area than t he national default.

• Requires minimal additional resources, par ticularly if data is readily available at the county or local level fr om the State departm ent of motor vehicle registration.

• Recommended by EPA and generally is encouraged as a preferred approach over the national default approach.

### 23 4.3.2 Daily Vehicle Miles Traveled (DVMT)

Overview:

In coordination with Ohio Metropolitan Pl anning Organizations (MPOs), the Ohio Department of Transportation (ODOT) provi ded Daily Vehicle Miles Traveled (DVMT) data and travel demand model (TDM) data. TDM data will be covered in another section. Because TDM results are used by t he state and MPOs to fo recast traffic for a variety of reasons, undergo rigorous calibrati on and validation checks, and are sensitive to roadway capacity/travel time improvement s, the TDMs are considered the best tool for emissions forecasting. Therefore, the DVMT data discussed in this section is not used directly for all areas of Ohio. In countie s where it is not used directly it is used for making rough emissions estimates where model s do not exist or where time prohibits the use of TDMs. DVMT is a simple mechan ism to measure how much traffic is flowing along a roadway during an average 24 hour peri od. This simple formula multiplies Average Annual Daily Traffic (AADT) by the length of the roadway. For example; if a roadway is 2 miles in length and the AADT is 4000 vehicles per day the DVMT would be computed by multiplying 2* 4,000 =8,000 or 8,000 DVMT.

County-By-County DVMT is computed usin g the State of Ohio, Department of Transportation’s Roadway Information F iles and the annual Highway Performance Monitoring System (HPMS) Summary Reports . DVMT’s are computed for all of the Federal Functional Class (FC) categories within each of Ohio’s 88 counties.

The AADT and Roadway length information prov ides a very accurate estimate of statewide total DVMT for The State Highway S ystem (Interstate, US and State Routes). County total DVMT are consistent and cons idered a good source of county level DVMT for countywide emissions estimates. For roadways that are not part of the State Highway System, various representative count s were used, such as: railroad crossing counts, HPMS Sample Section Counts, etc. All traffic count data that was not collected during the current year has had statewide growth factors applied to account for systematic growth.

Given the previously mentioned methodologies, the DVMT data is more accurate on roads functionally classified as collector or above.

Table 4-1 Federal Func tional Class Categories:

01 - Rural Interstate 02 - Rural Principal Arterial 06 - Rural Minor Arterial 07 - Rural Major Collector 08 - Rural Minor Collector 09 - Rural Local 11 - Urban Interstate 12 - Urban Freeway & Expressway 14 - Urban Principal Arterial 16 - Urban Minor Arterial 17 - Urban Collector 19 - Urban Local

### 24 Table 4-2 DVMT County Summary:

For PDF web based tables of 2005 DVMT by county see:

http://www.dot.state.oh.us /techservsite/availpro/Road_%20Infor/KDVMT/vmt2005.pdf

Disclaimer by ODOT:

The above PDF web based tables contain the State of Ohio's adjusted county DVMT's and road mileage for the years 1990 - 2005. Please be aware that the numbers are estimates only. The factoring process used annual, estimated, and statewide ADT (Average Daily Traffic) growth factors, deriv ed from the output of a limited number of traffic counting stations around the state. Although the growth factors are available by functional class, they are more reliable for major roads such as interstates or expressways, which are relatively well-sampl ed, than for local roads or collectors. The numbers also do no allow for periodic, large- scale functional reclassification actions

### 25 which reassign selected roads or road segm ents from one functional class to another.

The Ohio Department of Transportation t herefore does not warr ant the accuracy, completeness, or reliability of these estimates for your research. We also do not assume responsibility for any incorrectness that may occur.

4.3.3 VMT From Travel Demand Models (TDM)

Overview:

Travel demand forecast modeling is perform ed by the Ohio Metropolitan Planning Organizations (MPOs) and ODOT for a multit ude of purposes including the preparation of regional emissions estimate s. The ODOT Office of Te chnical Services’ Modeling & Forecasting Section recommends that Ohio ’s TDMs and ODOT’s conformity analysis methods be used to establish the roadway mob ile source portion of Ohio’s SIP budget to assure consistent methods are used for transportation conformity analysis and budgets. Therefore, ODOT provided both MPO regional TDM runs and statewide TDM runs with associated data to OEPA and LADC O. The ODOT provided model run data for years 2002, 2005, 2009, 2012, and 2018.

Data provided included loaded networks in both CSV format and GIS shape files, trip end summaries, zone boundary GIS shape files, intra-zonal trip VMT estimates, and VMT summaries for each of the loaded networ ks. Additional post processing data was provided including but not lim ited to metadata describing the loaded networks, Hourly distribution by functional cla ss, speed profiles, day of week / weekend / monthly car and truck traffic profiles, 2009 & 2018 VMT RPO data sets, state wide VMT growth rates for local traffic, and a 2005 VMT summary comparison spreadsheet. It should be noted that among other things, the loaded TDM Netw orks contain distance and daily volumes from which VMT is computed.

Network volumes are post processed to esti mate VMT by hour of day. The hourly volumes and capacity, posted speed limi t, and type of roadway for each roadway segment are then used to estimate aver age hourly speeds needed for MOBILE6 based emissions estimates. Modelin g by segment by hour of day in this way makes emissions estimates more sensitive to the effects of roadway improvements. This allows transportation planners to evaluate the relati ve emissions affect of improvements to individual roadways as well as packages of improvements and the entire set of planned roadway improvement projec ts air quality impacts of construction programs.

### 26 4.3.4 Speed Di stribution Profiles

Overview:

ODOT provided speed distribution profiles to LADCO. A couple of different sets of speed distribution profiles were provided to OEPA and LADCO for their use, a table of space mean speeds by functional class for use with DVMTs and link group speed curves for post processing travel demand model traffic forecasts. Both sets of speed profiles are based on the same speed study c onducted by ODOT. The speed study is documented in “Statewide Travel Time Study, May 2001 by Greg Giaimo, Ohio Department of Transportation ”. When OEPA asked for s peeds for use with MOBILE6 for development of CERR, ODOT provided a set of speeds based on that statewide travel time study. Those speeds are doc umented in a technical memorandum titled “Estimation of Average Speed by Functional Class for MOBILE6 Runs ” dated 5/27/2004. Readers should refer to those docum ents for the details. Here the contents of the technical memo, Estimated Average Speed by Functional Class, are summarized.

Space Mean Speeds by Functional Class for U se with County Level DVMT, HPMS:

The memo states that the s peeds which the Ohio Department of Transportation (ODOT) had been using prior to that date, 2004, fo r air quality analysis estimates based on County DVMT summaries, were developed by a former ODOT employee for addressing the one (1) hour standards conformity ru les established due to 1990 emissions exceedances. No documentation was found in ODOT’s files on the origin of these average speed values or how they were esti mated. In addition, EPA has requirements for using latest planning assumptions for ai r quality conformity analyses. Therefore, ODOT believed that it was in the state’s best interest to use the mo st recent available data to provide a new set of estimated av erage speeds consistent with those used for urban area travel demand models which were under development at that time. The memo contains comparisons of 2002 speed dat a obtained from traf fic count equipment, automatic traffic recorders (ATRs) which co llect data continuously throughout the year. It also contains comparisons of the new speeds with those used to address the one hour standard Gebhart’s. The graphs shown in figure 1, taken from the memo, illustrate the comparisons. The first graph compares time mean speeds from the ATRs with space mean speeds from ODOTs travel time study done in 2001and with the speeds used for addressing the one hour standard.

### 27 Figure 1 - Speed Comparison Graphs

Speeds Comparison

0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0

FC01 FC 0

6 F C0 8 F C1 1 FC1 4 FC1 7



### Functional ClassSpeed Average Speed

1990 Analysis Speeds 2001 Speed Study



## Speeds Comparison

0 20 40 60 80 100

FC 0

1 FC 06 F C08 F C11 FC14 FC 1

7

R

AMPS



### Functional ClassSpeed 

### Average Speed

Min. Avg Speed

Max. Avg. Speed

Gebhardt's Speeds

Spd Study Est Speeds Spd Study Greg Est



### The following caution statem ent was taken from the Estimation of Average Speed by Functional Class memo.

CAUTION 

## : It should be noted that speeds on facilities falling in any one of the federal functional classifications vary greatly bet ween roadways, between hour of the day, and day of the week. So these provide only very rough estimates of speed and should be used with caution. In addition, it is expec ted that these average statewide speeds are higher than the average speeds in t he non-attainment areas because the non-

### 28 attainment counties tend to be more popul ated and more congested. The document “Highway Vehicle Speed Es timation Procedures For Use in Emission Inventories”, September 1991 by Earl Ruiter of Cambridge Systematics Inc. is referenced by EPA’s documented procedures for emission inventor y preparation. This document suggests post processing travel demand model traffic assignment results to estimate average speeds.

Final space mean speeds that ODOT provi ded are summarized in the Table 1 below:

Table 4-3 Speed by Federal Functional Class

Functional Class 1990 Analysis 2001 Speed Study Speeds Speeds FC01 57.3 64.0 FC02 45.3 53.0 FC06 39.9 53.0 FC07 35.1 43.1 FC08 30.5 43.1 FC09 28.0 43.1 FC11 46.3 61.6 FC12 43.3 61.6 FC14 18.9 29.3 FC16 19.6 29.3 FC17 19.6 29.2 FC19 19.6 23.8

It was decided by mutual agreement among individuals within the ODOT Office of Technical Services that these new s pace mean speed based average speed estimates were reproducible and defensib le since they are well docu mented and should therefore be the speeds used with HPMS** VMT if any year 2002 emissions budget work is done using only the county level VMT summaries discussed in section 5.3.2 Daily Vehicle Miles Traveled (DVMT).

** Note that HPMS VMT is a statewide VMT estimate and the county level DVMT summaries are consistent with the HPMS VMT so the county level DVMT summaries are loosely referred to as HPMS VMTs even though in fact they are not.

4.3.5 Link Group Speed Curves:

The ODOT Modeling & Forecasting Section recommends that Ohio’s travel demand forecasting models and ODOT’s conformity anal ysis methods be used to establish the roadway mobile source portion of Ohio’s SIP budget for reasons already mentioned in 5.3.2 and to assure consistent methods are used for transportation conformity demonstration analyses and budget s. Therefore, ODOT pr ovided travel demand model runs and the speed curves by link group that ODOT uses for the speed estimates within

### 29 the post processing of travel demand model runs for estimating regional emissions. Table 2 shows these link group curves.

Table 4-4 Link Group Cod es & Associated BPR Curves

Link Group Facility Type Free Flow Speed Areatype a b

1 Freeway 75 Any 0.39 6.3 2 Freeway 70 Any 0.32 7.0 3 Freeway 65 Any 0.25 9.0 4 Freeway 60 Any 0.18 8.5 5 Freeway 55 Any 0.10 10.0 6 Multi-Lane 60 Rural 0.09 6.0 7 Multi-Lane 55 Rural 0.08 6.0 8 Multi-Lane 50 Rural 0.07 6.0 9 Multi-Lane 45 Rural 0.07 6.0 10 2 Lane Any Rural 0.34 4.0 10 Urban Street 50 Suburban 0.34 4.0

11 Urban Street 50 Urban 0.74 5.0

12 Urban Street 50 CBD 1.16 6.0

13 Urban Street 40 Suburban 0.38 5.0

14 Urban Street 40 Urban 0.70 5.0

15 Urban Street 40 CBD 1.00 5.0

16 Urban Street 35 Suburban 0.96 5.0

17 Urban Street 35 Urban 1.00 5.0

18 Urban Street 35 CBD 1.40 5.0

19 Urban Street 30 Suburban 1.11 5.0

20 Urban Street 30 Urban 1.20 5.0

21 Urban Street 30 CBD 1.50 5.0

Note: a and b are the BPR curv e parameters for the equation

T = T 0 

### {1 + a * (V/C)^b]

### 30 More complete details about emissions mode ling process employed by ODOT may be found in ODOT documentations. The docum ent titled “Congestion Management & Air Quality Analysis (CMAQ) Program Docu mentation” dated December 2005 may be obtained from the ODOT web site at www.dot.state.oh.us/urban/data/cmaq.doc (Microsoft Word document)

4.4 Mobile6 Inputs:

The following table contains the inputs s upplied to LADCO to process our mobile inventory.

4.4.1 Ohio’s 2005 MOBILE6 Inputs The following tables are the result of a joint meeting between Ohio EPA, ODOT, and MPOs from around the state. At that meeting Mobile6 inputs were discussed and efforts were made to verify the sources of data inputs for Moble6. Dialogue has continued between the parties.

For historical reference:

>>> Dave Moore <Dave.Moore1@dot.s tate.oh.us> 4/10/2006 2:13 PM >>>

All,

An air quality coordination meeting has been scheduled for April 27, 2006 at 10:00 AM at ODOT Central Office conference room GA. The primary purpose of this meeting is to discuss development of 2002 mobile source inventories for use in developi ng the Ohio 2007 8-Hour Ozone SIP Attainment Demonstrations. See meeting agen da below. OEPA is working to ward a June 15, 2006 schedule for submitting the 2002 invent ories to US EPA.

A key component of the meeting will be to review a nd confirm the MOBILE6.2 i nput parameters, by Ohio a/q area, for use in developing the 2002 mobile inve ntories. See draft templa te below. The Ohio MPO travel demand models will be used to generate t he 2002 VMT inputs to MOBILE. Thanks, DM DM

### 31 IMPORTANT NOTICE: The following tables are not to be used for inventory purposes as the data is subject to change. For the cu rrent input table, contact Ohio EPA, Division of Air Pollution Control.

Table 4-5 Mobile Inputs



## Cleveland-Akron 2005 Ozone M6.2 Inputs

Includes the following counties: Ashtabula, Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, Summit



### State Programs Input

Stage II Refueling 93/3/86/86

Anti-tampering Programs 96/78/50/22222/21111111/1/12/098./12111112

I/M Programs Yes Exclude Ashtabula County - No I/M program Program 1 2004 2050 2 T/O OBD I/M
Model Years 1 1996 2050
Vehicles 1 22222 21111111 1 Stringency 1 30.0 Compliance 1 98.0
Waiver Rates 1 1.0 1.0 Cutpoints Exemption Age 1 25 Grace Period 1 4 NO TTC Credits Effectiveness DESC file

Program 2 2004 2050 2 T/O EVAP OBD & GC
Model Years 2 1996 2050
Vehicles 2 22222 11111111 1 Stringency Compliance 2 98.0
Waiver Rates 2 1.0 1.0 Cutpoints Exemption Age 2 25 Grace Period 2 4 NO TTC Credits Effectiveness DESC file

Program 3 2001 2003 2 T/O ASM 2525 PHASE-IN

### 32 Model Years 3 1996 2003 Vehicles 3 22222 21111111 1 Stringency 3 30.0 Compliance 3 98.0
Waiver Rates 3 3.0 1.0 Cutpoints Exemption Age 3 25 Grace Period 3 2 NO TTC Credits Effectiveness DESC file

Program 4 2001 2050 2 T/O ASM 2525 PHASE-IN
Model Years 4 1975 1995
Vehicles 4 22222 21111111 1 Stringency 4 30.0 Compliance 4 98.0
Waiver Rates 4 3.0 1.0 Cutpoints Exemption Age 4 25 Grace Period 4 4 NO TTC Credits Effectiveness DESC file

Program 5 1998 2000 2 T/O LOADED/IDLE
Model Years 5 1975 2000 Vehicles 5 22222 21111111 1 Stringency 5 30.0 Compliance 5 98.0
Waiver Rates 5 3.0 1.0 Cutpoints Exemption Age 5 25 Grace Period 5 2 NO TTC Credits Effectiveness DESC file

Program 6 1996 1997 2 T/O IM240
Model Years 6 1975 1997
Vehicles 6 22222 21111111 1 Stringency 6 30.0 Compliance 6 98.0
Waiver Rates 6 3.0 1.0 Cutpoints 6 CUTPOINT.D Exemption Age 6 25 Grace Period 6 2 NO TTC Credits Effectiveness DESC file

### 33 Program 7 1996 2050 2 T/O GC
Model Years 7 1975 1995
Vehicles 7 22222 21111111 1 Stringency Compliance 7 98.0
Waiver Rates 7 3.0 1.0 Cutpoints Exemption Age 7 25 Grace Period 7 2 NO TTC Credits Effectiveness DESC file



### Fuel Commands

Fuel Program 1

Oxygenated Fuels 0.00 0.42 0.00 0.036 2

Fuel RVP 9



### Alternative Emission Regulati ons and Control Measures

Rebuild Effects 0.1



### External Conditions Commands

Calendar Year 2005

Evaluation Month 7

Min/Max Temperature National Climatic Data Center



### Vehicle Fleet Characteristic Commands

Registration Distribution Variable

### 34 

## Cincinnati-Dayton-Springfield 2005 Ozone M6.2 Inputs
Includes the following counties: Ohio : Butler, Clark, Clermont, Clinton, Greene, Hamilton, Miami, Montgomery, Warren Indiana : Lawrenceburg Twp., Dearborn County Kentucky : Boone, Campbell and Kenton counties



### State Programs Input Note: Indiana and Kentucky inputs may not coincide with Ohio inputs

Stage II Refueling 93/3/86/86

Anti-tampering Programs 96/78/05/22222/21111111/1/12/098./12111112

I/M Programs Yes Excludes Clinton Co. and Miami Co., OH, Dearborn County, IN - No I/M program Note: I/M inputs for Kentucky counties are not included Program 1 2004 2050 2 T/O OBD I/M
Model Years 1 1996 2050
Vehicles 1 22222 21111111 1 Stringency 1 30.0 Compliance 1 98.0
Waiver Rates 1 1.0 1.0 Cutpoints Exemption Age 1 25 Grace Period 1 2 NO TTC Credits Effectiveness DESC file

Program 2 2004 2050 2 T/O EVAP OBD & GC
Model Years 2 1996 2050
Vehicles 2 22222 11111111 1 Stringency Compliance 2 98.0
Waiver Rates 2 1.0 1.0 Cutpoints Exemption Age 2 25 Grace Period 2 2 NO TTC Credits Effectiveness DESC file

Program 3 2001 2003 2 T/O ASM 2525 PHASE-IN
Model Years 3 1996 2003 Vehicles 3 22222 21111111 1 Stringency 3 30.0 Compliance 3 98.0

### 35 Waiver Rates 3 3.0 1.0 Cutpoints Exemption Age 3 25 Grace Period 3 2 NO TTC Credits Effectiveness DESC file

Program 4 2001 2050 2 T/O ASM 2525 PHASE-IN
Model Years 4 1975 1995
Vehicles 4 22222 21111111 1 Stringency 4 30.0 Compliance 4 98.0
Waiver Rates 4 3.0 1.0 Cutpoints Exemption Age 4 25 Grace Period 4 4 NO TTC Credits Effectiveness DESC file

Program 5 1998 2000 2 T/O LOADED/IDLE
Model Years 5 1975 2000 Vehicles 5 22222 21111111 1 Stringency 5 30.0 Compliance 5 98.0
Waiver Rates 5 3.0 1.0 Cutpoints Exemption Age 5 25 Grace Period 5 2 NO TTC Credits Effectiveness DESC file

Program 6 1996 1997 2 T/O IM240
Model Years 6 1975 1997
Vehicles 6 22222 21111111 1 Stringency 6 30.0 Compliance 6 98.0
Waiver Rates 6 3.0 1.0 Cutpoints 6 CUTPOINT.D Exemption Age 6 25 Grace Period 6 2 NO TTC Credits Effectiveness DESC file

Program 7 1996 2050 2 T/O GC
Model Years 7 1975 1995
Vehicles 7 22222 21111111 1

### 36 Stringency Compliance 7 98.0
Waiver Rates 7 3.0 1.0 Cutpoints Exemption Age 7 25 Grace Period 7 2 NO TTC Credits Effectiveness DESC file



### Fuel Commands

Fuel Program 1

Oxygenated Fuels 0.00 0.42 0.00 0.036 2

Fuel RVP 9



### Alternative Emission Regulati ons and Control Measures

Rebuild Effects 0.1



### External Conditions Commands

Calendar Year 2005

Evaluation Month 7

Min/Max Temperature National Climatic Data Center



### Vehicle Fleet Characteristic Commands

Registration Distribution Variable

### 37 

## Other Areas ( excluding NOACA/AMATS 

## and OKI/MVRPC 

## ) Ozone M6.2 Inputs
Includes the following counties: Ohio : Belmont, Columbiana, Delaware, Fairfield, Franklin, Jefferson, Knox, Licking, Lucas,Madison, Mahoning, Pickaway, Trumball, Wood



### Fuel Commands Input

Fuel Program 1

Oxygenated Fuels 0.00 0.42 0.00 0.036 2

Fuel RVP 9



### Alternative Emission Regulati ons and Control Measures

Rebuild Effects 0.1 (0.30 for 2018)



### External Conditions Commands

Calendar Year All

Evaluation Month 7

Min/Max Temperature National Climatic Data Center



### Vehicle Fleet Characteristic Commands

Registration Distribution Variable



### 4.5 Ohio’s Mobile Emission Data Processed by LADCO (Lake Michigan Air Director’s Consortium):

2005 TDM and Mobile6 input data were provided to LADCO for processing. The data was processed by LADCO with T3 to prepare it as an input into the ConCEPT model. T3 and ConCEPT are described as follows.

### 38 4.5.1 T3--Development of Link-Level Mobile Source Emission Inventories:

Highly resolved emission inventories for on- road mobile sources are needed for air quality modeling to develop the necessary technical support for new State Implementation Plans (SIPs) fo r regional haze, fine particles , and ozone. Emissions for on-road motor vehicles are estimated using vehi cle miles traveled, tr ip starts and ends, speed, and other activity data developed by State Agencies and Metropolitan Planning Organizations (MPOs) using transportati on demand models (TDMs), and emission factors from EPA's MOBILE6 model. To s upport this modeling in the upper Midwest, ENVIRON, working with LADCO, State DOTs, and local MPOs, has developed a software tool (the TDM Transformation Tool, or "T3") that takes TDM output from approximately twenty transportation networ ks using a variety of models, applies appropriate data transformations , and outputs link- and county-le vel activity data in a uniform format for input to the CONCEPT emissions processing model (a new emissions processing model also developed wit h funding from LADCO). In a parallel effort, analyses of extensive automatic tra ffic recorder (ATR) dat a collected by State DOTs were conducted to develop temporal profiles (hour of day , day of week, and month of year) of vehicle counts and vehicl e mix by roadway type for developing the detailed on-road emissi on inventories.

T3 provides a conduit from the projections of traffic demand model ers regarding vehicle types, road networks, and vehicle activity to the activity data required by emissions modelers. The primary goals of T3 are to provide an easy mechanism for incorporating TDM model outputs in as "raw" a format as possible, while simult aneously providing a great degree of flexibility in representing t he TDM projections in terms acceptable to most air quality models. These goal s have been achieved through the use of a dimensional transformation approach, w here the dimensions of the various transformations are user-defined - hence the name of the tool.

By Stella Shepard, Alison K. Pollack, John Haasbeek, ENVIRON International
Corporation, 101 Rowland Way, Su ite 220, Novato, CA. 94945 & Mark Janssen, Lake Michigan Air Directors Consortium (LADCO ), 2250 E. Devon Avenue # 250, Des Plaines, IL 60018, janssen@ladco.org

4.5.2 ConCEPT--Consolidated Community Emissions Processing Tool an OpenSource Tool for the Emi ssions Modeling Community:

The new CONCEPT (CONsolidated Communi ty Emissions Processing Tool) Emissions Processor is now available for use by the emissions modeling community. Developed as joint project between Alpine Geophysics, LLC and ENVIRON Corporation, with Midwest RPO and joint RPO funding, the CONCEPT model combines the best attributes of current emissions modeling syste ms into an open source model highlighting the following features:

• Open Source. Writt en primarily in PostgreSQL, th e software required for running

### 39 CONCEPT is in the public dom ain. The model itself is GNU Public License (GPL) compliant and users are encouraged to make additions and enhancements to the modeling system.

• Transparent. The database structur e of the model makes the system easy to understand, and the modeling codes themselv es are extremely well documented to encourage user participation in the customizing the system for specific modeling requirements.

• Quality Control. The CONCEPT model structure an d implementation allows for multiple levels of QA analysis during every step of the emissions calculation process. Using the database structures, an emissions modeler can easily trace a process or facility and review the calculat ion procedures and assumptions for any emissions value.

The CONCEPT model includes modules for the major emissions source categories: area source, point source, on-ro ad motor vehicles, non-road motor vehicles and biogenic emissions, as well as a num ber of supporting modules, including spatial allocation factor development, speciation pr ofile development, growth and control for point and area sources, and CEM point sour ce emissions handling. The emissions modeling community has alr eady begun development of addi tional CONCEPT support modules including CEM preproce ssing software, graphical QA tools, and an interface to the traffic demand models for on-road mo tor vehicle emissions estimation.

By Cyndi Loomis, James G. Wilkinson, Alpine Geophysics, LLC, & John Haasbeek, Alison Pollack, ENVIRON Corporation. & Mark Janssen, Lake Michigan Air Directors Consortium (LADCO), 2250 E. Devon Av enue # 250, Des Plaines, IL 60018, janssen@ladco.org

4.5.3 LADCO Ohio Data Outputs for 2005:

The following LADCO outputs and documents can be found at: www.ladco.org/tech/e mis/net05/index.html

Table 4-6 LADCO Data Output

Sta
te Network T3 Descripti on DOC M6 Inpu
ts VM T vs
HP MS Exc el Average Day VMT (this should match conformi ty inventory ) Co
unt
y Em issi

on

s Re
por t All Pollut
ants After Speci ation Dropped VMT M6 Run Summ
ary Pollut
ant T otals (Short ) Raw Summ
ary (pol,ve h, etype) Hourly Tempo ral Summ
ary Hourly Veh Mix Summ
ary Hourly Speed Summ
ary (with volum e/ capaci ty)

OH AKRON AKRON OH OH AKRON 1 1 1 1 1 1 1 1 1

### 40 OH CANTON CANTON OH OH CANTON 1 1 1 1 1 1 1 1 1

OH CINCI CINCI OH OH CINCI 1 1 1 1 1 1 1 1 1

OH CLEVE CLEVE OH OH CLEVE 1 1 1 1 1 1 1 1 1

OH COLUMB US COLUMB US OH OH COLUMB US 1 1 1 1 1 1 1 1 1

OH SPRING FLD SPRING FLD OH OH SPRING FLD 1 1 1 1 1 1 1 1 1

OH TOLEDO TOLEDO OH OH TOLEDO 1 1 1 1 1 1 1 1 1

OH YNGSTO WN YNGSTO WN OH OH YNGSTO WN 1 1 1 1 1 1 1 1 1

OH STATEW D STATEW D OH OH STATEW D 1 1 1 1 1 1 1 1 1



### Additional Documents on LADCO Web Page:

“Comparison to EPA's Default Model NMIM”

“How we Build the 2005 Vmt/Networks”

“Spreadsheet/Graphics on Vehicle Mix”

“Background on the T3 Tool “

4.6 MPO Contact Table

Table 4-7 County Summary Ta ble of MPOs by County

FIPS County Model Network MPO Contact Person
39001 Adams Statewide

39003 Allen Statewide Lima Allen County Regional Planning Commission Tom Mazur

39005 Ashland Statewide
39007 Ashtabula Statewide
39009 Athens Statewide 39011 Auglaize Statewide

39013 Belmont Statewide Bel-O-Mar Regional Council and Interstate Planning Commission Rakesh Sharma

39015 Brown Statewide

39017 Butler Cincinnat/Dayton Ohio-Kentucky-Indiana Regional Council of Governments Andy Reser

39019 Carroll Statewide 39021 Champaign Statewide

39023 Clark Springfield Coordinating Committee of the Clark County-Springfield Eric Ottoson

### 41 Transportation Study

39025 Clermont Cincinnat/Dayton Ohio-Kentucky-Indiana Regional Council of Governments Andy Reser

39027 Clinton Statewide
39029 Columbiana Statewide
39031 Coshocton Statewide
39033 Crawford Statewide

39035 Cuyahoga Cleveland Northeast Ohio Areawide Coordinating Agency Bill Davis

39037 Darke Statewide
39039 Defiance Statewide

39041 Delaware Columbus Mid-Ohio Regional Planning Commission Nick Gill

39043 Erie Statewide
39045 Fairfield Statewide 39047 Fayette Statewide

39049 Franklin Columbus Mid-Ohio Regional Planning Commission Nick Gill

39051 Fulton Statewide
39053 Gallia Statewide

39055 Geauga Cleveland Northeast Ohio Areawide Coordinating Agency Bill Davis

39057 Greene Cincinnat/Dayton Miami Valley Regional Planning Commission Ana Ramirez

39059 Guernsey Statewide

39061 Hamilton Cincinnat/Dayton Ohio-Kentucky-Indiana Regional Council of Governments Andy Reser

39063 Hancock Statewide
39065 Hardin Statewide
39067 Harrison Statewide 39069 Henry Statewide 39071 Highland Statewide 39073 Hocking Statewide
39075 Holmes Statewide
39077 Huron Statewide
39079 Jackson Statewide

39081 Jefferson Statewide Brooke-Hancock-Jefferson Transportation Study Policy Committee Mike Proprocki

39083 Knox Statewide

39085 Lake Cleveland Northeast Ohio Areawide Coordinating Agency Bill Davis

39087 Lawrence Statewide KYOVA Interstate Planning Commission

39089 Licking Columbus Licking County Area Transportation Study Matthew Hill

39091 Logan Statewide
39093 Lorain Cleveland Northeast Ohio Areawide Bill Davis

### 42 Coordinating Agency

39095 Lucas Toledo Toledo Metropolitan Area Council of Governments Sujatha Mohanakrishnan

39097 Madison Statewide

39099 Mahoning Youngstown Eastgate Regional Council of Governments R.P. Samulka

39101 Marion Statewide

39103 Medina Cleveland Northeast Ohio Areawide Coordinating Agency Bill Davis

39105 Meigs Statewide
39107 Mercer Statewide

39109 Miami Cincinnat/Dayton Miami Valley Regional Planning Commission Ana Ramirez

39111 Monroe Statewide

39113 Montgomery Cincinnat/Dayton Miami Valley Regional Planning Commission Ana Ramirez

39115 Morgan Statewide
39117 Morrow Statewide 39119 Muskingum Statewide
39121 Noble Statewide
39123 Ottawa Statewide 39125 Paulding Statewide 39127 Perry Statewide 39129 Pickaway Statewide
39131 Pike Statewide

39133 Portage Akron Akron Metropolitan Area Transportation Study Jason Segedy

39135 Preble Statewide
39137 Putnam Statewide

39139 Richland Statewide Richland County Regional Planning Commission John Adams

39141 Ross Statewide 39143 Sandusky Statewide
39145 Scioto Statewide
39147 Seneca Statewide 39149 Shelby Statewide

39151 Stark Canton Stark County Regional Planning Commission Dan Slicker

39153 Summit Akron Akron Metropolitan Area Transportation Study Jason Segedy

39155 Trumbull Youngstown (partial county model

coverage) Eastgate Regional Council of Governments R.P. Samulka

39157 Tuscarawas Statewide
39159 Union Statewide
39161 Van Wert Statewide
39163 Vinton Statewide

39165 Warren Cincinnat/Dayton Ohio-Kentucky-Indiana Regional Council of Governments Andy Reser, OKI

+

### 43 + Miami Valley Regional Planning Commission Ana Ramirez, MVRPC

39167 Washington Statewide Wood-Washington-Wirt Interstate Planning Commission 39169 Wayne Statewide
39171 Williams Statewide

39173 Wood Toledo Toledo Metropolitan Area Council of Governments Sujatha Mohanakrishnan

39175 Wyandot Statewide 

### NOTE: Complete MPO information can be found at, www.dot.state.oh.us/urban/mpomap.htm and at www.dot.state.oh.us/urban/mpolist.htm#Cleveland

.



## SECTION 5

MARINE, AIRCRAFT and RAIL (MAR) SOURCES

MAR sources are non-road sour ces which are significant enoug h in terms of emissions to be considered separately from the rest of the non-road sources. The MAR inventory consists of commercial marines, aircraft and locomotive sources. The marine and locomotive inventory is generated by Environ 1 

### under contract with LADCO and the aircraft inventory is generated by Ohio EPA.

5.1 Marine Vessel Sources
The approach to commercial marine emi ssion estimates needed to be flexible because the activity data was available in many fo rmats. Emission esti mates were determined either by multiplying engine power, load factor, hours per ye ar of operation, or on the basis of the number of gall ons of fuel consumed.

Emissions were determined for ten subclasses of vessel types: Deep draft vessels (DDV) at port, DDV mid-late, push boats (rivers /lakes), tugs, ferries, other special (excursion) vessels, support vessels, dredges, commercial fishing, and military vessels (Coast Guard). These were linked to various Ohio lakes and rivers.

Because of the large variety of methodologie s employed, inventory tables for the ten subcategories are detailed in the comp lete inventory prepared and published by ENVIRON Internati onal Corporation: LADCO 2005 COMMERCIAL MARINE EMISSIONS , by Christian E. Li ndhjem, March, 2007.

Emission totals produced by ENVIRON were provided to LADCO to submit to EPA for Ohio’s State Implementation Plan (SIP).

### 44 5.2 Rail Sources

The primary activity unit used to determine em issions is gallons of fuel consumed. Emission rates were derived from EPA doc uments provided as support documentation for the 1997 locomotive emission standards (EPA, 1997). Gallons of fuel consumed were based on rail activity.

Rail activity was broken down into four Source Category Codes (SCC). Class I, linehaul rail: Large interstate railroad companies like Union Pacific and Norfolk Southern. Class I,II, III, switching rail: Yard operations. Class II, III line haul: Regional and local railroads. And Passenger rail: AMTRAK.

Class I, line-haul represents 84.3% of fuel used and the larges t emission’s category. The complete emission’s inventory was prepared and published by ENVIRON International Corporation: LADCO 2005 LOCOMOTIVE EMISSIONS , by Christian E. Lindhjem, February, 2007.

Emission totals produced by ENVIRON were provided to LADCO to submit to EPA for Ohio’s State Implementation Plan (SIP).

EPA. 1997: "Locomotive Emission Standards." Regulatory Support Document, United States Environmental Protection Agency, O ffice of Mobile Sources, April. And EPA 1997, Emission Factors for Locomotives," Environmental Protecti on Agency, EPA420-F-97-051, December.



### 5.3 Aircraft Sources

INTRODUCTION:

The aircraft emission’s inventory is derived by taking the number of Landings and Take Offs (LTOs) per year and multiplying by an emission fact or. In the Ohio inventory when specific aircraft models and engine type emission factors are known they were used. For the rest of the inventory the emission factors came from USEPA’s fleet average emissions data. Those results are t hen compiled as tons per year per pollutant by county. The following de scribes the components, met hodology, and concludes with a description of an Access based aircraft emission calculator.

COMPONENTS:

I. Ohio Airports: A list of both towered and non-towered airpor ts in Ohio is obtained from the Ohio Department of Transportation. See: www.dot.state.oh.us/aviation/ In conversation with ODOT two individuals stated that the 16 4 airports listed covered over 90% of the airports in Ohio. See Table 1.

### 45 II. Number of Operations/LTOs by Airport/County: The ODOT list contained the number of operations a year per airport. An operation is either a landing or a take-off. A Landing and Take Off (LTO) is required for FAA EDMS calculations. LTOs were deriv ed simply by dividing the number of operations by two. These were totaled by county.

Table 5-1 Number of operations and LTOs for 2005

County Airport Name ID Total Operations LTOs/Year

Adams Alexander Salamon AMT 5210 2605

Allen Allen County AOH 32500 16250

Ashland Ashland County 3G4 49240 24620

Ashtabula Ashtabula County HZY 16886 8443

Ashtabula Germack 7D9 840 420

Athens Ohio University UNI 51600 25800

Auglaize Neil Armstrong AXV 29456 14728

Belmont Barnesville-Bradfield 6G5 10150 5075

Belmont Alderman 2P7 6150 3075

Brown Brown County GEO 5157 2578.5

Butler Butler County Regional HAO 61687 30843.5

Butler Hook Field Municipal MWO 40050 20025

Butler Miami University OXD 16708 8354

Carroll Carroll County -Tolson TSO 34950 17475

Carroll Parsons 5D6 2674 1337

Champaign Grimes Field I74 23480 11740

Champaign Weller 38I 300 150

Clark Springfield-Beckley Municipal SGH 64033 32016.5

Clark Mad River I54 15350 7675

Clermont Clermont County I69 35741 17870.5

Clinton Airborne Airpark ILN 52000 26000

Clinton Clinton Field I66 29360 14680

Clinton Hollister Field 2B6 161 80.5
Columbiana Columbiana County Ø2G 31146 15573

Columbiana Koons 8G8 2546 1273
Coshocton Richard Downing I4Ø 19550 9775
Coshocton Tri-City 8ØG 8085 4042.5

Crawford Port Bucyrus 17G 24871 12435.5

Crawford Galion Municipal GQQ 5216 2608

Cuyahoga Burke Lakefront BKL 97100 48550

Cuyahoga Cleveland-Hopkins International CLE 234356 117178

Cuyahoga Cuyahoga County CGF 79774 39887

Darke Darke County VES 9238 4619

Defiance Defiance Memorial DFI 9130 4565

Delaware Delaware Municipal DLZ 39300 19650

Delaware Packer 5E9 3181 1590.5

Erie Hinde 88D 1350 675

Erie Kelleys Island 89D 25495 12747.5

Erie Griffing-Sandusky SKY 112100 56050

### 46 Erie Wakeman I64 17324 8662

Fairfield Miller's Farm 7B4 360 180

Fairfield Fairfield County LHQ 43066 21533

Fayette Fayette County I23 29405 14702.5

Franklin Ohio Stat e University OSU 134459 67229.5

Franklin Port Columbus International CMH 218438 109219

Franklin Rickenbacker International LCK 96200 48100

Franklin Bolton Field TZR 69149 34574.5

Franklin Columbus Southwest Ø4I 11833 5916.5

Franklin Darby Dan 6I6 11260 5630

Fulton Fulton County USE 21123 10561.5

Gallia Gallia-Meigs Regional GAS 12200 6100

Geauga Gates 7D8 4200 2100

Geauga Geauga County 7G8 5350 2675

Greene Greene County - Lewis A. Jackson I19 37400 18700

Greene Bloom 14I 100 50

Guernsey Cambridge Municipal CDI 6040 3020

Hamilton Lunken LUK 129430 64715

Hamilton Blue Ash ISZ 35000 17500

Hamilton Cincinnati West I67 30197 15098.5

Hancock Bluffton 5G7 71980 35990

Hancock Findlay FDY 19800 9900

Hancock Priebe 7D5 3850 1925

Hardin Ada ØD7 331 165.5

Hardin Hardin County I95 6562 3281

Hardin Elliott's Landing O74 1560 780

Harrison Harrison County 8G6 11900 5950

Henry Henry County 7W5 15637 7818.5

Highland Highland County HOC 18325 9162.5
Holmes Holmes County 1ØG 21400 10700

Huron Huron County 5A1 10100 5050

Huron Willard 8G1 2715 1357.5

Jackson James A. Rhodes I43 6053 3026.5

Jefferson Jefferson County Airpark 2G2 15969 7984.5

Jefferson Eddie Dew Memorial 1G8 3540 1770

Knox Knox County 4I3 20150 10075

Knox Wynkoop 6G4 4691 2345.5

Lake Concord Airpark 2G1 4510 2255

Lake Willoughby Lost Nation Municipal LNN 45085 22542.5

Lawrence Lawrence County Airpark HTW 41910 20955

Licking Newark-Heath VTA 12457 6228.5

Logan Bellefontaine Regional EDJ 8325 4162.5

Lorain Columbia 4G8 5150 2575

Lorain Elyria 1G1 14300 7150

Lorain Lagrange 92D 1155 577.5

Lorain Lorain County Regional LPR 62000 31000

Lorain Reader-Botsford Airfield 67D 18700 9350

Lucas Toledo Express TOL 94600 47300

### 47 Madison Madison County UYF 41410 20705

Mahoning Salem Airpark 38D 16920 8460

Mahoning Tri-City 3G6 10555 5277.5

Mahoning Elser Metro 4G4 49232 24616
Mahoning Lansdowne Ø4G 750 375

Marion Marion Municipal MNN 42650 21325

Medina Medina Municipal 1G5 79685 39842.5

Medina Wadsworth Municipal 3G3 41025 20512.5

Medina Weltzien Skypark 15G 79130 39565

Mercer Lakefield CQA 16212 8106

Miami Hartzell Field I17 10200 5100

Miami Troy Skypark 37I 4264 2132

Miami Waco Field 1WF 0 0

Monroe Monroe County 4G5 3324 1662

Montgomery Brookville Air-Park I62 29359 14679.5

Montgomery James M. Cox Dayton Intl DAY 134524 67262

Montgomery Dayton Wright Brothers MGY 89045 44522.5

Montgomery Moraine Airpark I73 12938 6469

Montgomery Dahio Trotwood I44 1853 926.5

Montgomery Phillipsburg 3I7 68000 34000

Morgan Morgan County I71 5725 2862.5

Morrow Morrow County 4I9 19108 9554

Muskingum Zanesville Municipal ZZV 33312 16656

Muskingum Parr 42I 16150 8075
Noble Noble County - Mike Brienza Field I1Ø 5950 2975

Ottawa Middle Bass-East Point 3W9 1300 650

Ottawa Middle Bass Island 3T7 6500 3250

Ottawa North Bass Island 3X5 1000 500

Ottawa Carl R. Keller Field PCW 20890 10445

Ottawa Put-In-Bay 3W2 15140 7570

Paulding Paulding 2H8 2100 1050

Perry Crooksville I84 400 200

Perry Perry County I86 4550 2275

Pickaway Pickaway County CYO 35450 17725
Pickaway Clarks Dream Strip Ø3I 2770 1385

Pike Pike County EOP 2012 1006

Portage Freedom Air Field 7D6 1623 811.5

Portage Farview 86D 3353 1676.5

Portage Mills 7E3 1050 525

Portage Portage County 29G 9621 4810.5

Putnam Ruhe's R47 13250 6625

Putnam Putnam County OWX 11910 5955

Putnam Ohio Dusting Co. 6C2 2995 1497.5

Richland Mansfield Lahm Regional MFD 57518 28759

Richland Shelby Community 12G 2012 1006

Ross Ross County RZT 50150 25075

Sandusky Fremont 14G 37450 18725

Sandusky Sandusky County Regional S24 6148 3074

### 48 Scioto Greater Portsmouth Regional PMH 45830 22915

Seneca Bandit Field 5D9 140 70

Seneca Fostoria Metropolitan FZI 7900 3950

Seneca Weiker 82D 320 160

Seneca Seneca County 16G 60165 30082.5

Shelby Sidney Municipal I12 20500 10250

Stark Barber 2D1 13750 6875

Stark Miller Airport 4G3 8000 4000

Stark Beach City 2D7 6112 3056

Summit Akron Fulton International AKR 26000 13000

Summit Akron-Canton Regional CAK 120441 60220.5

Summit Mayfield 1D4 450 225

Summit Kent State University 1G3 72500 36250

Trumbull Braceville 41N 425 212.5

Trumbull Warren 62D 14738 7369

Trumbull Youngstown-W arren Regional YNG 98298 49149

Tuscarawas Harry Clever Field PHD 54880 27440

Union Union County MRT 31886 15943

Van Wert Van Wert County VNW 20516 10258

Vinton Vinton County 22I 5225 2612.5

Warren Warren County I68 24951 12475.5

Warren Red Stewart Airfield 4ØI 16800 8400

Wayne Wayne County BJJ 96520 48260
Williams Williams County ØG6 10010 5005
Wood Wood County 1GØ 27405 13702.5

Wood Bordner 3D8 2200 1100

Wood Deshler Municipal 6D7 2000 1000

Wood Metcalf TDZ 90700 45350

Wyandot Wyandot County 56D 7410 3705



### III. Aircraft Models and Number of LTO/yr:

Specific aircraft models by airport (generally t he larger airports) is obtained from “Table 7” provided by the United States Departm ent of Transportation, Office of Airline Information. This provided the number of LTO’s for each aircraft model per year per airport.

Table 2. Sample from “Table 7.” This is the all community total of aircraft models for the Akron/Canton area. “All Service” departure s were used as the number of LTOs per year for that model. Listed in the original table are airc raft model by airport and number of services/LTOs.

### 49 **TOTAL DEPARTURES PERFORMD**

**Aircraft Scheduled Non-Sched All Model Service Service Service** 

A-318 1 1
A319 384 384
BOEING 717-200 3850 3850
BOEING 727-100 1 1
BOEING 727-200 5 5 BOEING 737-100/200 74 74
BOEING 737-200C 3 3 6
BOEING 737-300 2 2 BOEING 737-700/LR 212 212
BOEING 737-800 5 5
BOEING 757-200 4 4 BOEING 767-300/ER 4 4 CANADAIR RJ-100/ER 542 3 545
CANADAIR RJ-700 2881 2881
CONVAIR CV-580 3 3
DASSAULT FALCON 7 7
DHC8-100 DASH 8 2 2
DOUGLAS DC-9-15F 13 13
DOUGLAS DC-9-30 6 6
EMBRAER-145 144 144 RJ-200ER/RJ-440 5519 5519 SAAB-FAIRCHD 340/B 1804 1804
ALL TYPES 15342 130 15472

IV. Emission Factors: Where there was specific aircraft model data the emission factors were derived using the FAA’s Emission Dispersion Modeling System (EDMS). EDMS is a combined emissions and dispersion model for assessing ai r quality at civilian airports and military air bases. The model was developed by the Federal Aviation Administration (FAA) in cooperation with the Unit ed States Air Force (USAF). The model is used to produce an inventory of emissions generated by source s on and around the airport or air base, and to calculate pollutant concentrations in these environments.

### 50 Table 5-2 EDMS Aircraft Emissions Emissions provided by Michigan Department of Environmental Quality. (The few aircraft in Ohio not included in the table had emissions derived by EDMS 5.0 in-house.)

EDMS Aircraft Emissions/LTO by Aircraft Type EDMS 4.5 Emissions Inventory Report of 2005 Aircraft Inventory Emissions Factors

Year 2005 Lbs Emitted Per LTO
Aircraft Type CO NOx HC VOC SO2 PM2.5 PM10

A- 318 19.8 18.7 4.0 4.4 1.5 0.0 0.0

A-300-600/R/CF/RCF 27.1 56.4 2.0 2.2 4.0 0.2 0.2

A-300B/C/F-100/200 30.2 52.5 3.5 3.7 3.3 0.2 0.2

A-310-200C/F 32.6 52.5 7.3 7.9 3.3 0.2 0.2

A-319 19.8 18.7 4.0 4.4 1.5 0.0 0.0

A320-100/200 13.7 19.8 1.3 1.3 1.8 0.2 0.2

A-321 16.8 36.8 3.1 3.3 2.2 0.0 0.0

A-330-200 29.8 61.5 0.4 0.4 4.4 0.2 0.2

AVROLINER RJ85 24.7 9.5 2.9 3.3 1.3 0.2 0.2

BAE-146-300 24.7 9.0 3.1 3.3 1.3 0.2 0.2

BEECH 1900 A/B/C 11.0 1.1 3.3 3.5 0.2 0.0 0.0
BEECH KINGAIR C90 1.8 0.9 0.2 0.2 0.2 0.0 0.0

717-200 11.7 23.4 0.0 0.0 1.5 0.0 0.0

727-100 21.4 23.1 4.6 5.1 2.9 0.4 0.4
727-100C/QC 44.5 19.8 4.6 5.1 2.4 1.1 1.1

727-200 19.6 27.3 2.9 3.1 3.3 1.1 1.1

737-100/200 14.1 16.1 2.2 2.4 2.0 0.7 0.7

737-200C 13.9 17.4 6.8 7.5 2.0 0.9 0.9

737-300 28.7 15.9 1.8 2.0 1.8 0.0 0.0

737-400 26.5 18.5 1.5 1.5 1.8 0.0 0.0

737-500 24.7 21.2 1.3 1.3 2.0 0.0 0.0

737-700/LR 17.6 20.1 2.0 2.0 1.8 0.4 0.4

737-800 15.7 27.1 1.5 1.8 2.0 0.7 0.7

737-900 15.7 27.1 1.5 1.8 2.0 0.7 0.7

747-100 252.6 108.5 106.7 116.8 7.1 0.4 0.4

747-200/300 60.6 104.7 7.1 7.7 6.8 0.7 0.7

747-400 67.0 105.6 5.7 6.4 7.3 0.7 0.7

757-200 24.7 35.7 2.0 2.2 2.6 0.4 0.4

757-300 27.1 33.1 0.4 0.4 3.1 0.2 0.2

767-200/ER 32.6 52.5 7.3 7.9 3.3 0.2 0.2

767-300/ER 32.0 62.2 2.6 2.9 4.0 0.4 0.4

777 32.8 85.1 5.1 5.7 4.4 0.4 0.4
CANADAIR RJ100/ER 16.3 4.9 1.5 1.8 0.7 0.0 0.0

CANADAIR RJ-700 12.6 9.3 0.0 0.0 1.1 0.0 0.0

CESSNA 208 1.1 0.4 0.0 0.0 0.0 0.0 0.0

CONVAIR CV-580 36.2 0.9 8.8 9.5 0.7 0.0 0.0

DASSAULT FALCON 13.7 2.6 2.4 2.6 0.2 0.0 0.0

DHC8-100 DASH 8 5.1 3.1 0.0 0.0 0.4 0.0 0.0

DORNIER 328 JET 1.3 6.6 11.9 12.6 0.7 0.0 0.0

DOUGLAS DC-10-10 102.5 76.7 38.6 42.1 4.2 0.0 0.0

DOUGLAS DC-10-30 45.4 78.7 5.3 5.7 5.1 0.4 0.4

### 51 DOUGLAS DC-10-40 131.8 81.8 30.2 33.1 6.0 0.7 0.7

DOUGLAS DC-8-63 263.5 25.6 219.1 239.9 4.2 5.1 5.1

DOUGLAS DC-8-71 53.6 34.6 3.1 3.3 3.7 0.0 0.0

DOUGLAS DC-8-73 53.6 34.6 3.1 3.3 3.7 0.0 0.0

DOUGLAS DC-9-10 14.1 14.6 3.7 4.0 1.8 0.2 0.2

DOUGLAS DC-9-15F 14.1 14.6 3.7 4.0 1.8 0.2 0.2

DOUGLAS DC-9-30 14.1 14.6 3.7 4.0 1.8 0.2 0.2

DOUGLAS DC-9-40 39.7 16.5 10.8 11.9 2.0 1.3 1.3

DOUGLAS DC-9-50 12.6 20.1 1.8 1.8 2.2 0.9 0.9

EMBRAER-135 12.8 5.5 1.1 1.3 0.7 0.0 0.0

EMBRAER-140 13.7 6.0 1.3 1.3 0.7 0.0 0.0

EMBRAER-145 6.4 6.8 1.1 1.1 0.7 0.0 0.0

EMBRAER-170 9.0 9.7 0.0 0.0 1.1 0.0 0.0

F28-4000/6000 76.7 10.4 77.2 84.4 1.5 0.0 0.0

JETSTREAM 41 4.6 2.0 0.4 0.7 0.2 0.0 0.0

L-101101/100/200 33.3 112.0 6.2 6.8 5.7 1.3 1.3

LEAR-25 75.2 0.7 7.9 8.4 0.2 0.0 0.0

LOCKHEED L100-30 48.7 9.9 19.6 21.4 1.8 0.0 0.0

MD-11 47.8 93.3 4.0 4.4 6.0 0.7 0.7
MD-80, 1, 2, 3, 7, 8 16.3 20.3 0.0 0.0 2.2 0.2 0.2

MD-90 12.1 23.8 0.2 0.2 2.0 0.2 0.2

RJ-200ER/RJ-440 16.3 4.9 1.5 1.8 0.7 0.0 0.0

SAAB-FAIRCHD 340/B 4.2 1.5 1.5 1.5 0.2 0.0 0.0



### NOTE: Where specific aircraft model data was not available fleet emissions were used. EPA default fleet average emissi on factors were taken from “Documentation for Aircraft, Commercial Marine Vessel, ,Locomotive, and Other Non-road Components of the National Emissions Inventory. 2005, s ee Appendix A, Aircraft Emission Estimation Methodology.” Specific model LTOs were subtracted from county LTO totals to eliminate double counting those LTOs.

Table 5-3 Fleet Emissi on Factor Categories

Fleet emission factors were br oken down into three categories. Itinerant General, Local General, and Military.

Table 5-3a Fleet Average Emission Factor s for Itinerant General Aircraft.

(Taken from : Table A-5) Pollutant Emission Factors (lbs/LTO)
HC 1.234 NOx 0.158
CO 28.13 SOx 0.015 PM10 0.60333

Note: Air taxi HC emissions * VOC/HC ( 0.9914) conversion factor = air taxi VOC estimate

### 52 Table 5-3b Fleet Average Emission Factor s for Local General Aircraft.

(Taken From: Table A-11) Pollutant Emission Factors (lbs/LTO) HC 0.394 NOx 0.065 CO 12.014
SOx 0.01 PM10 0.2367

Note: GA HC emissions * VOC/HC( 0.9708) conversion factor = GA VOC estimate

Table 5-3c Fleet Average Emission Fa ctors for Military Aircraft.

(Taken from: Table A-17) Pollutant Emission Factors (lbs/LTO
HC 1.234 NOx 0.158 CO 28.13 SOx 0.015 PM10 0.60333

Note: Military HC emissions * VOC/HC( 1.1046) conversion factor = Military VOC estimate

METHODOLOGY

Introduction

The following information was considered in the development of emission estimates:

1. Commercial scheduled and non-scheduled ai rcraft air carrier activity and commercial air freight activity by aircraft model types,

2. General aviation and air taxi annual loca l and itinerant operations for year 2005,

3. Military annual local and iti nerant operations for year 2005.

Due to the need to have aircraft operations in formation expressed as landing/take off (LTO) cycles, the following assumptions were made:

1. For commercial aircraft and commercial ai r freight activity, t he number of annual aircraft annual LTO cycles was assu med to be equal to the number of

### 53 departures. The daily LTO cycle frequency was then obtained by dividing the yearly LTO cycles by 365.

2. For general aircraft annual local and iti nerant airport operations, each respective operations total was divided by 2 to obt ain the corresponding year local and itinerant LTO cycles. The expected daily local and itinerant LTO cycles then were obtained by dividing these annual totals by 365.

3. For military annual local and itinerant operat ions, each respective operations total was divided by 2 to obtain the correspondi ng year local and itinerant LTO cycles. The expected military daily local and iti nerant LTO cycles then were obtained by dividing these annual totals by 365.

Airport LTO cycles were further categoriz ed into commercial aircraft by plane and engine type, general aviation itinerant aircraft of unknown aircraft type, general aviation local aircraft of unknown aircraft type, and military aircraft. This was necessary in order to utilize the U.S. Department of Transportation, Federal Av iation Administration EDMS Emissions and Dispersion Modeling System . Commercial and air freight aircraft emission factors per LTO cycle were det ermined using EDMS for each commercial aircraft type models where possible were used at each towered airport. Default commercial aircraft engine type, and Enviro nmental Protection Agency (EPA) default time in mode values for takeoff, approach, and landing roll times were used in the EDMS model simulations.

For those aircraft types that could not be determined using the EDMS emissions model, aircraft emission factors based upon EPA alter native fleet average procedures were then used to estimate their emissions. These included general aviation and air taxi itinerant aircraft of unknown aircraft type, general aviation local aircraft of unknown aircraft type, and military aircraft. Conversion from total hydrocarbons to volatile organic compounds was performed and based upon the EPA guidance

.



### APPROACH

1. A list of more than 90% of the airports was obtained fr om the Ohio Department of Transportation. These were classed by airport, county, aircraft flight classification, and the total number of op erations per year.

2. The number of oper ations (a landing or a take off) were then divided by two giving the number of LTOs per year per airport. These airports were combined by county for the total number of LTOs per year, per county.

3. In dialog with ODOT it was determined that the following Ohio flight groups of aircraft be combined to match the three categorie s used by the USEPA in calculating emissions.

### 54 Itinerant (General, air carrier, commuter, ai r taxi, general aviation itinerant)

Local (General aviation local)

Military (Military)

4. LTOs for specific models of aircraft per airport were ta ken from the FAA Table 7. See Table 2 above. These were then combined to gi ve the number of LTOs per aircraft model per county. Specific model LTOs were subtracted from county totals to avoid double counting those LTOs.

5. Emission factors were det ermined from the FAA’s EDMS pr ogram for specific aircraft model and engine type. See IV. Emission factors above. The aircraft emission table provided by Michigan has the emission factors for most of the aircraft fl own in Ohio. . Where specific aircraft model data was not available USEPA average fleet emissions were used.

6. Emission factors times LTOs by count y yielded tons per y ear per county.

Table 5-4 Pollutant by County (Sample)

County POLLUTANT ACTIVITY(LTOS/YEAR) ACTIVITY(LTOS/DAY) EMISSIONS(TON/YEAR)
ADAMS CO 2605 7.136986 24.552325
ADAMS HC 2605 7.136986 0.977285
ADAMS NOX 2605 7.136986 0.136045
ADAMS PM10-PRI 2605 7.136986 0.513114825
ADAMS PM25-PRI 2605 7.136986 0
ADAMS SOX 2605 7.136986 0.0157875
ADAMS VOC 2605 7.136986 0.96314234
ALLEN CO 16250 44.52055 147.945065
ALLEN HC 16250 44.52055 5.841097
ALLEN NOX 16250 44.52055 0.827189
ALLEN PM10-PRI 16250 44.52055 3.081191265
ALLEN PM25-PRI 16250 44.52055 0
ALLEN SOX 16250 44.52055 0.0984575
ALLEN VOC 16250 44.52055 5.769568254
ASHLAND CO 24620 67.45205 173.67794
ASHLAND HC 24620 67.45205 6.19414
ASHLAND NOX 24620 67.45205 0.94895
ASHLAND PM10-PRI 24620 67.45205 3.532515
ASHLAND PM25-PRI 24620 67.45205 0
ASHLAND SOX 24620 67.45205 0.1311
ASHLAND VOC 24620 67.45205 6.07175247
ASHTABULA CO 8863 24.28219 78.115087
ASHTABULA HC 8863 24.28219 3.042551
ASHTABULA NOX 8863 24.28219 0.431593

### 55 ASHTABULA PM10-PRI 8863 24.28219 1.623493455
ASHTABULA PM25-PRI 8863 24.28219 0
ASHTABULA SOX 8863 24.28219 0.0520325
ASHTABULA VOC 8863 24.28219 2.99420213
ATHENS CO 25800 70.68493 196.874985
ATHENS HC 25800 70.68493 7.267183
ATHENS NOX 25800 70.68493 1.081521
ATHENS PM10-PRI 25800 70.68493 4.037266335
ATHENS PM25-PRI 25800 70.68493 0
ATHENS SOX 25800 70.68493 0.1420925
ATHENS VOC 25800 70.68493 7.128180006



### 7. Emissions were then summed by pollut ants in each county by SCC aircraft category type so data could be provided to LADCO in the EPA prescribed NEI – NIF format.

DATA ERROR

The first aircraft emission inventory submitt ed to LADCO in April, 2007 contained an error. The inventory submitted in May, 2007 has the error corrected. The error was the result of a carry-over func tion in Access that picked up the number of operations as instead of LTOs....which made the in ventory exactly twice as lar ge as what it really was.

ACCESS CALCULATOR

Introduction:

Our database programmer set up Access applic ation to calculate Ohio’s aircraft emission inventory, and export those results to Excel. His utility allows for easy modification of the aircraft data to match futu re data scenarios. Ou tput to Excel also allows for additional data manipulation and importation.

### 56 Interface:

Through this interface the following sets of data can be edited/updated: Airport activity, emission factors, specific airport emissi ons, state/county FIPS, detailed aircraft information, airport informati on, and aircraft SCCs. Once the final emissions have been calculated and summed, then the data can be expo rt via the export function on the Main Menu

.

# APPENDIX C

Mobile Source Emission Inventory

# Mobile Source Emissions Inventory for Cincinnati PM2.5 Nonattainment

Area

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

August 2010 (text revised Dec 2010)

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

for Air Quality and the Ohio Environmental Protecti on Agency by

OKI Regional Council of Governments

## Acknowledgments

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

Area

Abstract This report was prepared for the Indiana Department of Environmental Management, the Kentucky Division for Air Quality a nd the Ohio Environmental Protection Agency. The Cincinnati PM 2.5 nonattainment area includes a portion of Dearborn County Indiana, the counties of Boone, Campbell, Kenton in Kentucky, and the counties of B utler, Clermont, Hamilton, and Warren in Ohio. This report includes emission estimates for the years 2005, 2008, 2011, 2015, 2018 and 2021 was generated to support

the attainment SIPs for the annual PM2.5 standard. EPA’s Motor Vehicle Emission Simulation (MOVES) 2010 was used to genera te the emission

rates.

Date August 2010

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

Project Manager

Andrew J. Reser, AICP

Project Staff

Harikishan Perugu, PTP Larry Buckler

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

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

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

### and SO 2 

### .

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

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

the nonattainment area are shown in Table 2.

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

Year Pollutant Name DailyEmissions AnnualEmissions 

### Kentucky Portion of NA Area

**2005** Annual VMT: 3,289,109,202 Daily VMT: 9,621,110 Vehicle Population: 364,081

**Oxides of Nitrogen** 39.10 13,496.54
**Primary Exhaust PM2.5 - Total** 1.36 466.23
**Primary PM2.5 - Brakewear Particulate** 0.16 54.04
**Primary PM2.5 - Tirewear Particulate** 0.05 17.52
**Sulfur Dioxide (SO2)** 0.12 41.46

**2008** Annual VMT: 3,425,339,505 Daily VMT: 9,991,179 Vehicle Population: 375,873

**Oxides of Nitrogen** 37.91 13,114.20
**Primary Exhaust PM2.5 - Total** 1.64 562.84
**Primary PM2.5 - Brakewear Particulate** 0.18 62.10
**Primary PM2.5 - Tirewear Particulate** 0.06 20.70
**Sulfur Dioxide (SO2)** 0.12 42.74

**2011** Annual VMT: 3,587,796,186 Daily VMT: 10,490,143 Vehicle Population: 381,911

**Oxides of Nitrogen** 29.33 10,141.52
**Primary Exhaust PM2.5 - Total** 1.19 407.74
**Primary PM2.5 - Brakewear Particulate** 0.20 68.38
**Primary PM2.5 - Tirewear Particulate** 0.07 22.68
**Sulfur Dioxide (SO2)** 0.13 45.36

**2015** Annual VMT: 3,931,385,741 Daily VMT: 11,495,496 Vehicle Population: 394,278

**Oxides of Nitrogen** 20.18 6,996.21
**Primary Exhaust PM2.5 - Total** 0.78 267.30
**Primary PM2.5 - Brakewear Particulate** 0.23 77.94
**Primary PM2.5 - Tirewear Particulate** 0.08 25.88
**Sulfur Dioxide (SO2)** 0.15 50.50

**2018** Annual VMT: 4,163,203,435 Daily VMT: 12,173,549 Vehicle Population: 403,817

**Oxides of Nitrogen** 15.78 5,480.81
**Primary Exhaust PM2.5 - Total** 0.59 202.15
**Primary PM2.5 - Brakewear Particulate** 0.27 91.15
**Primary PM2.5 - Tirewear Particulate** 0.09 30.09
**Sulfur Dioxide (SO2)** 0.16 56.28

**2021** Annual VMT: 4,286,834,360 Daily VMT: 12,534,236 Vehicle Population: 413,587

**Oxides of Nitrogen** 12.75 4,435.96
**Primary Exhaust PM2.5 - Total** 0.43 146.79
**Primary PM2.5 - Brakewear Particulate** 0.28 96.84
**Primary PM2.5 - Tirewear Particulate** 0.09 31.74
**Sulfur Dioxide (SO2)** 0.17 58.63

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

### Ohio/Indiana Portion of NA Area

**2005** Annual VMT: 13,541,324,003 Daily VMT: 39,564,030 Vehicle Population: 1,754,582

**Oxides of Nitrogen** 168.89 58,423.36
**Primary Exhaust PM2.5 - Total** 5.74 1,979.63
**Primary PM2.5 - Brakewear Particulate** 0.65 223.20
**Primary PM2.5 - Tirewear Particulate** 0.20 69.67
**Sulfur Dioxide (SO2)** 0.48 165.35

**2008** Annual VMT: 14,015,754,874 Daily VMT: 40,858,751 Vehicle Population: 1,811,406

**Oxides of Nitrogen** 148.02 51,357.02
**Primary Exhaust PM2.5 - Total** 4.85 1,675.04
**Primary PM2.5 - Brakewear Particulate** 0.80 273.84
**Primary PM2.5 - Tirewear Particulate** 0.25 85.37
**Sulfur Dioxide (SO2)** 0.54 185.13

**2011** Annual VMT: 14,383,526,419 Daily VMT: 42,044,841 Vehicle Population: 1,840,505

**Oxides of Nitrogen** 135.95 47,061.53
**Primary Exhaust PM2.5 - Total** 5.54 1,904.61
**Primary PM2.5 - Brakewear Particulate** 0.85 290.00
**Primary PM2.5 - Tirewear Particulate** 0.27 91.52
**Sulfur Dioxide (SO2)** 0.53 182.01

**2015** Annual VMT: 14,830,453,053 Daily VMT: 43,316,281 Vehicle Population: 1,900,111

**Oxides of Nitrogen** 89.45 31,064.21
**Primary Exhaust PM2.5 - Total** 3.57 1,227.86
**Primary PM2.5 - Brakewear Particulate** 0.82 280.25
**Primary PM2.5 - Tirewear Particulate** 0.26 90.54
**Sulfur Dioxide (SO2)** 0.53 182.69

**2018** Annual VMT: 15,513,701,656 Daily VMT: 45,314,292 Vehicle Population: 1,946,080

**Oxides of Nitrogen** 70.34 24,451.43
**Primary Exhaust PM2.5 - Total** 2.78 958.57
**Primary PM2.5 - Brakewear Particulate** 0.90 307.39
**Primary PM2.5 - Tirewear Particulate** 0.29 99.03
**Sulfur Dioxide (SO2)** 0.57 195.09

**2021** Annual VMT: 15,521,916,278 Daily VMT: 46,689,707 Vehicle Population: 1,993,161

**Oxides of Nitrogen** 55.50 18,911.05
**Primary Exhaust PM2.5 - Total** 2.10 705.30
**Primary PM2.5 - Brakewear Particulate** 0.96 320.17
**Primary PM2.5 - Tirewear Particulate** 0.31 102.89
**Sulfur Dioxide (SO2)** 0.60 199.14

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

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

County Year Pollutant Name DailyEmissions AnnualEmissions 

## Indiana

Dearborn NA

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

Oxides of Nitrogen 2.40 865.46

Primary Exhaust PM2.5 - Total 0.08 29.68

Primary PM2.5 - Brakewear Particulate 0.01 3.28

Primary PM2.5 - Tirewear Particulate 0.00 1.02

Sulfur Dioxide (SO2) 0.01 2.45

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

Oxides of Nitrogen 2.09 748.81

Primary Exhaust PM2.5 - Total 0.07 24.72

Primary PM2.5 - Brakewear Particulate 0.01 3.94

Primary PM2.5 - Tirewear Particulate 0.00 1.23

Sulfur Dioxide (SO2) 0.01 2.69

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

Oxides of Nitrogen 1.92 685.40

Primary Exhaust PM2.5 - Total 0.08 27.88

Primary PM2.5 - Brakewear Particulate 0.01 4.19

Primary PM2.5 - Tirewear Particulate 0.00 1.32

Sulfur Dioxide (SO2) 0.01 2.65

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

Oxides of Nitrogen 1.31 482.33

Primary Exhaust PM2.5 - Total 0.05 19.43

Primary PM2.5 - Brakewear Particulate 0.01 4.32

Primary PM2.5 - Tirewear Particulate 0.00 1.39

Sulfur Dioxide (SO2) 0.01 2.87

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

Oxides of Nitrogen 1.03 376.85

Primary Exhaust PM2.5 - Total 0.04 15.09

Primary PM2.5 - Brakewear Particulate 0.01 4.70

Primary PM2.5 - Tirewear Particulate 0.00 1.51

Sulfur Dioxide (SO2) 0.01 3.04

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

Oxides of Nitrogen 0.81 297.95

Primary Exhaust PM2.5 - Total 0.03 11.44

Primary PM2.5 - Brakewear Particulate 0.01 5.05

Primary PM2.5 - Tirewear Particulate 0.00 1.62

Sulfur Dioxide (SO2) 0.01 3.19

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

## Kentucky

Boone

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

Oxides of Nitrogen 14.94 5,126.88

Primary Exhaust PM2.5 - Total 0.52 177.58

Primary PM2.5 - Brakewear Particulate 0.06 20.86

Primary PM2.5 - Tirewear Particulate 0.02 6.77

Sulfur Dioxide (SO2) 0.05 15.91

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

Oxides of Nitrogen 14.73 5,067.94

Primary Exhaust PM2.5 - Total 0.64 219.29

Primary PM2.5 - Brakewear Particulate 0.07 24.42

Primary PM2.5 - Tirewear Particulate 0.02 8.14

Sulfur Dioxide (SO2) 0.05 16.71

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

Oxides of Nitrogen 11.61 3,990.01

Primary Exhaust PM2.5 - Total 0.48 162.47

Primary PM2.5 - Brakewear Particulate 0.08 27.55

Primary PM2.5 - Tirewear Particulate 0.03 9.14

Sulfur Dioxide (SO2) 0.05 18.16

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

Oxides of Nitrogen 8.11 2,788.45

Primary Exhaust PM2.5 - Total 0.32 108.49

Primary PM2.5 - Brakewear Particulate 0.09 32.17

Primary PM2.5 - Tirewear Particulate 0.03 10.69

Sulfur Dioxide (SO2) 0.06 20.67

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

Oxides of Nitrogen 6.34 2,182.28

Primary Exhaust PM2.5 - Total 0.24 82.19

Primary PM2.5 - Brakewear Particulate 0.11 37.76

Primary PM2.5 - Tirewear Particulate 0.04 12.47

Sulfur Dioxide (SO2) 0.07 23.14

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

Oxides of Nitrogen 5.14 1,772.72

Primary Exhaust PM2.5 - Total 0.18 60.19

Primary PM2.5 - Brakewear Particulate 0.12 40.56

Primary PM2.5 - Tirewear Particulate 0.04 13.30

Sulfur Dioxide (SO2) 0.07 24.37

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

2005 Annual VMT: 741,790,595 Daily VMT: 2,286,217 Vehicle Population: 86,065

Oxides of Nitrogen 8.87 3,041.21

Primary Exhaust PM2.5 - Total 0.31 104.22

Primary PM2.5 - Brakewear Particulate 0.04 12.14

Primary PM2.5 - Tirewear Particulate 0.01 3.94

Sulfur Dioxide (SO2) 0.03 9.30

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

Oxides of Nitrogen 8.63 2,988.33

Primary Exhaust PM2.5 - Total 0.37 127.73

Primary PM2.5 - Brakewear Particulate 0.04 14.05

Primary PM2.5 - Tirewear Particulate 0.01 4.68

Sulfur Dioxide (SO2) 0.03 9.69

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

Oxides of Nitrogen 6.61 2,287.81

Primary Exhaust PM2.5 - Total 0.27 91.36

Primary PM2.5 - Brakewear Particulate 0.04 15.26

Primary PM2.5 - Tirewear Particulate 0.01 5.06

Sulfur Dioxide (SO2) 0.03 10.15

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

Oxides of Nitrogen 4.55 1,570.14

Primary Exhaust PM2.5 - Total 0.17 59.30

Primary PM2.5 - Brakewear Particulate 0.05 17.31

Primary PM2.5 - Tirewear Particulate 0.02 5.75

Sulfur Dioxide (SO2) 0.03 11.21

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

Oxides of Nitrogen 3.52 1,216.21

Primary Exhaust PM2.5 - Total 0.13 44.14

Primary PM2.5 - Brakewear Particulate 0.06 19.90

Primary PM2.5 - Tirewear Particulate 0.02 6.57

Sulfur Dioxide (SO2) 0.04 12.28

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

Oxides of Nitrogen 2.84 985.28

Primary Exhaust PM2.5 - Total 0.09 32.07

Primary PM2.5 - Brakewear Particulate 0.06 21.10

Primary PM2.5 - Tirewear Particulate 0.02 6.92

Sulfur Dioxide (SO2) 0.04 12.77

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

Kenton

2005 Annual VMT: 1,274,091,641 Daily VMT: 3,927,743 Vehicle Population: 148,193

Oxides of Nitrogen 15.29 5,328.44

Primary Exhaust PM2.5 - Total 0.53 184.43

Primary PM2.5 - Brakewear Particulate 0.06 21.04

Primary PM2.5 - Tirewear Particulate 0.02 6.82

Sulfur Dioxide (SO2) 0.05 16.24

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

Oxides of Nitrogen 14.55 5,057.93

Primary Exhaust PM2.5 - Total 0.62 215.81

Primary PM2.5 - Brakewear Particulate 0.07 23.63

Primary PM2.5 - Tirewear Particulate 0.02 7.87

Sulfur Dioxide (SO2) 0.05 16.34

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

Oxides of Nitrogen 11.11 3,863.70

Primary Exhaust PM2.5 - Total 0.45 153.90

Primary PM2.5 - Brakewear Particulate 0.07 25.57

Primary PM2.5 - Tirewear Particulate 0.02 8.48

Sulfur Dioxide (SO2) 0.05 17.05

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

Oxides of Nitrogen 7.51 2,637.63

Primary Exhaust PM2.5 - Total 0.29 99.51

Primary PM2.5 - Brakewear Particulate 0.08 28.45

Primary PM2.5 - Tirewear Particulate 0.03 9.44

Sulfur Dioxide (SO2) 0.05 18.62

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

Oxides of Nitrogen 5.93 2,082.32

Primary Exhaust PM2.5 - Total 0.22 75.82

Primary PM2.5 - Brakewear Particulate 0.10 33.49

Primary PM2.5 - Tirewear Particulate 0.03 11.04

Sulfur Dioxide (SO2) 0.06 20.86

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

Oxides of Nitrogen 4.76 1,677.96

Primary Exhaust PM2.5 - Total 0.16 54.53

Primary PM2.5 - Brakewear Particulate 0.10 35.19

Primary PM2.5 - Tirewear Particulate 0.03 11.52

Sulfur Dioxide (SO2) 0.06 21.48

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

## Ohio

Butler

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

Oxides of Nitrogen 32.00 10,910.37

Primary Exhaust PM2.5 - Total 1.06 361.06

Primary PM2.5 - Brakewear Particulate 0.12 40.31

Primary PM2.5 - Tirewear Particulate 0.04 12.60

Sulfur Dioxide (SO2) 0.09 30.01

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

Oxides of Nitrogen 28.56 9,803.70

Primary Exhaust PM2.5 - Total 0.91 311.45

Primary PM2.5 - Brakewear Particulate 0.15 50.45

Primary PM2.5 - Tirewear Particulate 0.05 15.74

Sulfur Dioxide (SO2) 0.10 34.25

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

Oxides of Nitrogen 26.50 9,074.89

Primary Exhaust PM2.5 - Total 1.05 356.91

Primary PM2.5 - Brakewear Particulate 0.16 53.99

Primary PM2.5 - Tirewear Particulate 0.05 17.06

Sulfur Dioxide (SO2) 0.10 34.00

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

Oxides of Nitrogen 17.64 6,064.61

Primary Exhaust PM2.5 - Total 0.68 231.78

Primary PM2.5 - Brakewear Particulate 0.16 52.42

Primary PM2.5 - Tirewear Particulate 0.05 16.96

Sulfur Dioxide (SO2) 0.10 34.28

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

Oxides of Nitrogen 13.98 4,813.27

Primary Exhaust PM2.5 - Total 0.54 182.29

Primary PM2.5 - Brakewear Particulate 0.17 57.91

Primary PM2.5 - Tirewear Particulate 0.06 18.68

Sulfur Dioxide (SO2) 0.11 36.85

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

Oxides of Nitrogen 11.13 3,757.91

Primary Exhaust PM2.5 - Total 0.41 135.39

Primary PM2.5 - Brakewear Particulate 0.19 60.81

Primary PM2.5 - Tirewear Particulate 0.06 19.56

Sulfur Dioxide (SO2) 0.12 37.90

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

Clermont

2005 Annual VMT: 1,684,261,582 Daily VMT: 5,083,336 Vehicle Population: 232,380

Oxides of Nitrogen 21.21 7,295.87

Primary Exhaust PM2.5 - Total 0.72 245.48

Primary PM2.5 - Brakewear Particulate 0.08 27.67

Primary PM2.5 - Tirewear Particulate 0.03 8.64

Sulfur Dioxide (SO2) 0.06 20.51

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

Oxides of Nitrogen 18.81 6,516.40

Primary Exhaust PM2.5 - Total 0.61 211.40

Primary PM2.5 - Brakewear Particulate 0.10 34.46

Primary PM2.5 - Tirewear Particulate 0.03 10.74

Sulfur Dioxide (SO2) 0.07 23.32

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

Oxides of Nitrogen 17.48 6,039.51

Primary Exhaust PM2.5 - Total 0.71 243.25

Primary PM2.5 - Brakewear Particulate 0.11 37.00

Primary PM2.5 - Tirewear Particulate 0.03 11.68

Sulfur Dioxide (SO2) 0.07 23.23

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

Oxides of Nitrogen 11.54 3,993.63

Primary Exhaust PM2.5 - Total 0.46 156.92

Primary PM2.5 - Brakewear Particulate 0.11 35.82

Primary PM2.5 - Tirewear Particulate 0.03 11.58

Sulfur Dioxide (SO2) 0.07 23.34

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

Oxides of Nitrogen 9.09 3,146.47

Primary Exhaust PM2.5 - Total 0.36 122.57

Primary PM2.5 - Brakewear Particulate 0.12 39.31

Primary PM2.5 - Tirewear Particulate 0.04 12.67

Sulfur Dioxide (SO2) 0.07 24.94

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

Oxides of Nitrogen 7.22 2,449.31

Primary Exhaust PM2.5 - Total 0.27 90.84

Primary PM2.5 - Brakewear Particulate 0.12 41.28

Primary PM2.5 - Tirewear Particulate 0.04 13.27

Sulfur Dioxide (SO2) 0.08 25.66

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

Hamilton

2005 Annual VMT: 7,241,536,812 Daily VMT: 21,859,473 Vehicle Population: 862,422

Oxides of Nitrogen 89.30 31,127.09

Primary Exhaust PM2.5 - Total 3.06 1,064.67

Primary PM2.5 - Brakewear Particulate 0.35 119.94

Primary PM2.5 - Tirewear Particulate 0.11 37.41

Sulfur Dioxide (SO2) 0.26 88.85

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

Oxides of Nitrogen 77.45 27,020.93

Primary Exhaust PM2.5 - Total 2.56 889.81

Primary PM2.5 - Brakewear Particulate 0.42 145.42

Primary PM2.5 - Tirewear Particulate 0.13 45.31

Sulfur Dioxide (SO2) 0.28 98.30

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

Oxides of Nitrogen 70.18 24,435.59

Primary Exhaust PM2.5 - Total 2.88 997.06

Primary PM2.5 - Brakewear Particulate 0.44 151.73

Primary PM2.5 - Tirewear Particulate 0.14 47.86

Sulfur Dioxide (SO2) 0.28 95.30

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

Oxides of Nitrogen 45.58 15,925.19

Primary Exhaust PM2.5 - Total 1.83 634.62

Primary PM2.5 - Brakewear Particulate 0.42 144.67

Primary PM2.5 - Tirewear Particulate 0.14 46.71

Sulfur Dioxide (SO2) 0.27 94.43

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

Oxides of Nitrogen 35.51 12,422.37

Primary Exhaust PM2.5 - Total 1.41 490.62

Primary PM2.5 - Brakewear Particulate 0.45 156.90

Primary PM2.5 - Tirewear Particulate 0.15 50.52

Sulfur Dioxide (SO2) 0.29 99.78

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

Oxides of Nitrogen 27.80 9,530.16

Primary Exhaust PM2.5 - Total 1.06 357.87

Primary PM2.5 - Brakewear Particulate 0.48 161.69

Primary PM2.5 - Tirewear Particulate 0.15 51.92

Sulfur Dioxide (SO2) 0.30 100.82

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

Warren

2005 Annual VMT: 1,949,619,088 Daily VMT: 5,884,222 Vehicle Population: 233,106

Oxides of Nitrogen 23.98 8,224.57

Primary Exhaust PM2.5 - Total 0.82 278.74

Primary PM2.5 - Brakewear Particulate 0.09 32.00

Primary PM2.5 - Tirewear Particulate 0.03 10.00

Sulfur Dioxide (SO2) 0.07 23.54

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

Oxides of Nitrogen 21.11 7,267.18

Primary Exhaust PM2.5 - Total 0.69 237.65

Primary PM2.5 - Brakewear Particulate 0.12 39.57

Primary PM2.5 - Tirewear Particulate 0.04 12.34

Sulfur Dioxide (SO2) 0.08 26.57

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

Oxides of Nitrogen 19.88 6,826.15

Primary Exhaust PM2.5 - Total 0.82 279.53

Primary PM2.5 - Brakewear Particulate 0.13 43.09

Primary PM2.5 - Tirewear Particulate 0.04 13.60

Sulfur Dioxide (SO2) 0.08 26.83

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

Oxides of Nitrogen 13.37 4,598.44

Primary Exhaust PM2.5 - Total 0.54 185.12

Primary PM2.5 - Brakewear Particulate 0.13 43.02

Primary PM2.5 - Tirewear Particulate 0.04 13.91

Sulfur Dioxide (SO2) 0.08 27.77

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

Oxides of Nitrogen 10.73 3,692.47

Primary Exhaust PM2.5 - Total 0.43 148.00

Primary PM2.5 - Brakewear Particulate 0.14 48.57

Primary PM2.5 - Tirewear Particulate 0.05 15.66

Sulfur Dioxide (SO2) 0.09 30.49

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

Oxides of Nitrogen 8.54 2,875.72

Primary Exhaust PM2.5 - Total 0.33 109.76

Primary PM2.5 - Brakewear Particulate 0.16 51.34

Primary PM2.5 - Tirewear Particulate 0.05 16.51

Sulfur Dioxide (SO2) 0.10 31.58

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

## Mobile Source Emission Forecast Process

Emission Factor Model
OKI’s conformity assessment utilized U.S.EPA’s emis sions model MOVES 2010 to develop emission

factors for SO 2 

### , NO X 

### and PM2.5. Table 3 summarizes the settings used i n the MOVES run specification

file. Table 4 lists the data used in the MOVES Cou nty-Data Manager. Further details on the use of MOVES are found in the Appendix.

Table 3

MOVES RunSpec Parameter Settings MOVES Version 2009/05 / 1 5 , MOVES default
database 20100515
Scale County, Emission Rates Time Span Time aggregation = Hour 1 month representing average annual temperatures All hours of day selected Weekdays only Geographic Bounds 2 Custom Domains

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

- network
Pollutants and Processes NO x 

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

### , Total Energy Consumption Strategies Modified AVFT strategy file to reflect 0% CNG
buses in the transit fleet General Output Units= grams, joules and miles Output Emissions Time = hour, Location =county, on

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

Table 4

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

### Fuel Formulation Default

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



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

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

• Population (household and group quarter)

• Households

• Household vehicles

• Employment (by employment category and zone of work )

• Labor force participation (by zone of residence)

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

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

## Population

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

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



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

households for each TAZ.

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



## Household Vehicles
Base and Future Year Data: Base and future year ho usehold vehicle data were obtained from the 2000 Census of Population and Housing. The 2000 Census i s the only source of household vehicle data available at the block group level. Average vehicle s per household were calculated for block groups th en applied to the TAZs associated with each block group . The 2005, 2010, 2020 and 2030 vehicles per

household level was held at the 2000 level based on the fact that, since 2002, the number of vehicles per household has exceeded the number of drivers pe r household.



## Labor Force

Base and Future Year Data: The OKI labor force is a function of the population as determined by a lab or force participation ratio (the number of employed p ersons in the labor force per persons 16 and over). Household data for base year 2005 originates with t he 2000 Census of Population and Housing. Utilizing the geographic information system ArcMap, household data at the zonal level for 2000 was derived

### from the area proportion allocation of block group level employed labor force. The labor force

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



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

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

factors.



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

Model Calibration
OKI’s Travel Demand Model has been validated to obs erved traffic volumes for the model base year 2005. The modeling network encompasses the entire ozone nonattainment area with the exception of Clinton County, Ohio. The modeling network also in cludes Greene, Miami and Montgomery counties in Ohio and the remainder of Dearborn County Indiana. The difference between estimated vehicle miles traveled (VMT) and 2005 observed VMT is less than 1 %. A highway screenline analysis compares the

screenline observed and simulated traffic volume di screpancies with the ODOT standard of maximum desirable deviation. The comparison shows that the model performs at a satisfactory level and all the

errors were under the ODOT curve. Further informat ion can be found in OKI’s 2007 report, “ OKI/MVRPC Travel Demand Model Methodology/ Validation Report ”. For the calibration, OKI used over 3000 traffic counts collected through 2006 by the Ohio Departmen t of Transportation (ODOT), the Kentucky Transportation Cabinet, many county and local gover nments, transportation engineering consultants, and OKI. These traffic counts cover nearly 50% per cent of the links in the OKI portion of the modelin g

### network. The methodology provides consistency with past emission inventory and conformity analysis

work performed by OKI.

Local Inputs and Post-Model Processing OKI incorporates a variety of sources of local data to both improve and confirm the accuracy of VMT, a s well as other travel-related parameters. Free flow speeds used on the highway and transit networks ar e based on travel time studies performed locally. Th e OKI post-processing program, IMPACT, uses the loaded highway network to generate VMT by hour, VMT by speed distribution and VMT by facility type. These tables are then included as input into MOVES. Two separate sets of VMT tables are generated: one for the four Ohio counties plus Dearborn County Indiana, and a second for the three Kentucky counties. The VMT by hour tables utilize hourly tr affic distribution and directional split factors fo r different roadway types as developed by OKI. The ma in source of the data was the permanent traffic counting stations located throughout the OKI region for the years of 2004-2006. This data was supplemented with data collected at coverage count stations (locations with counts taken on only onetwo days). The stations were classified by area ty pe: urban and rural, and functional classification: freeway, arterial and collector. Speeds representin g various “loaded” conditions (with traffic volumes ) are estimated using techniques from the 1997 Highwa y Capacity Manual. This permits the estimation of speeds as conditions vary from hour to hour on the different facility types throughout the region. Th e IMPACT program performs the appropriate summation b y area and roadway type as well as regional totals. OKI has also developed seasonal conversion factors to adjust traffic volumes to summer

conditions. The factors were derived from local da ta collected at permanent traffic counting stations during 1994-1997 utilizing the average daily traffi c monthly conversion factors for June, July and Aug ust. Further information on OKI’s IMPACT program is docu mented in the report, “Travel Demand Model Summary Reporting and Impact Summary Reporting: OKI /MVRPC Travel Demand Model User’s Guide”,

OKI 2003.

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



# APPENDIX

OKI Technical Documentation for Using EPA Motor Vehicle Emission Simulator (MOVES) 2010 to develop mobile Source

Emissions
August 2010

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



## 1. Using MOVES

To determine specific emission profiles and invento ry, user has to define the input data like area, time span, type of vehicles, road types, fuel types, emission producing processes etc. These data are stored in a run specification (RunSp ec) XML file. Using graphical user interface, the user can modify all these attributes of the Run Spec. In the following sections, how input data is entered and modified is explained. All thes e input options are found in the navigation panel of Graphical User Interface of MOVES software

. 

## 1.1 Description

The description text box is useful to list the spec ifications of the RunSpec and to distinguish between the RunSpecs. We can provide a brief overvi ew of the particular RunSpec. In all of our current RunSpecs, we have details such as analysis years, area and pollutants analyzed.



## 1.2 Scale/Calculation Type

In this option, we need to specify about the Domain /Scale and Calculation type. The Domain specifies the level of default data we need to use for analysis and also the scale of the analysis. We have used the County scale. The county scale re quires user supplied local data for most inputs. We have selected “Emission Rates” as the c alculation type.



## 1.3 Time Spans

This input panel has different time-related input d ata like time aggregation level, year of analysis, month of analysis, whether analysis day i s weekday or weekend, and hours of analysis. In all of our runs, time aggregation level is consi dered as hour, which is the most disaggregated level possible in MOVES and it is also specified in EPA’s technical guidance for all SIP runs. In In consultation with the states, the analysis years of 2005, 2008, 2011, 2015, 2018, and 2021 were selected. Each analysis year requires a separate MO VES run. We have used the month of April for analysis. Annual analysis uses one 24-hour set of average annual temperatures. The annual average minimum temperature, maximum temperature an d humidity values for each hour were calculated and assigned the April month ID. T he annual average temperature profile was used for the PM2.5 SIP inventory. Weekdays only, a nd all hours were selected.



## 1.4 Geographic Bounds

In this input screen, we need to specify the region of analysis (eg. Nation, State, Custom Domain). We have created a two separate input datab ase through combining the four OKI Ohio counties (Hamilton, Butler, Clermont, and Warren) a nd the three OKI Kentucky counties (Boone, Campbell, and Kenton). Upon selecting the c ustom domain, MOVES will consider this region as separate generic County. The state ID is fixed as 99 and we have assigned an arbitrary CountyID of 390 for Ohio, and 210 for Kentucky to d istinguish between the two states (39 and

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



### 21 are used in post-processing as state id’s). The user also needs to provide a fraction geographic phase in area. In this case we do not ha ve any phase in area fraction and we also provided average barometric pressure (MOVES default value for Hamilton County Ohio) to identify whether it is low altitude area or high al titude area. Since we do not have I/M program in the region the refueling program adjustment frac tion and refueling spill program adjustment fractions are assigned as 0.00. In this input panel we also need to specify the Domain Input
Databases. For all of our runs we have defined diff erent input databases for each year.



## 1.5 Vehicles/Equipment

In MOVES, the user also needs to provide the differ ent type of vehicles considered for analysis in the region. MOVES provide us with 13 different t ypes of vehicles or equipment and four different fuel types and we need to select appropri ate fuel and vehicle combinations. In MOVES, vehicle types are called SourceUseTypes . W e have considered all possible types of fuel/vehicle type combinations.



## 1.6 Road Type

There are five road types available in MOVES. All five road types are selected in the RunSpecs, however OKI travel demand model does not predict th e off-network vehicle miles traveled. The off-network road type in MOVES is used to assign ac tivity for vehicle starts and for evaporative emissions while vehicles are parked. The other fou r road types are relatively simple and are based on area type, whether it is urban or rural. A ll expressways and freeways are considered as restricted roadways and all other road types are considered as unrestricted roadways.



## 1.7 Pollutants and Processes

There are different pollutants and corresponding pr ocesses are available in MOVES. A separate panel is available for selecting different pollutan ts and processes. In consultation with the states, PM2.5, NO x, 

### SO 2 

### were selected. To perform calculation of PM2.5 it is also required to select total energy consumption, elemental carbon, organic carbon, and sulfate particulate. In addition, brake wear and tire wear are also selecte d.



## 1.8 Miscellaneous

Information about present and future alternative ve hicle fuels & technologies, on-road retrofit and rate of progress information can be input with the MOVES Strategies section of the RunSpec. If we do not specify future Alternative V ehicle Fuel & Technologies, MOVES is going
to assume default alternative fuels. The default AVFT strategy file was modified to reflect 0% CNG buses in the transit fleet (default is 6%). MO VES also provides options whether we would like to save the MOVESactivityoutput and MOVESOutp ut databases or not. We did not select these options, although these were selected in subs equent runs as an error checking method, and to obtain values utilized in the post-processin g.

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



### Table 1.8 : Alternative Vehicle and Fueling Technol ogy used in all RunSpecs

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

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

42 2004 2 1 1
42 2005 2 1 1

42 2006 2 1 1

42 2007 2 1 1

42 2008 2 1 1
42 2009 2 1 1

42 2010 2 1 1

42 2011 2 1 1

42 2012 2 1 1
42 2013 2 1 1

42 2014 2 1 1

42 2015 2 1 1

42 2016 2 1 1
42 2017 2 1 1

42 2018 2 1 1

42 2019 2 1 1

42 2020 2 1 1
42 2021 2 1 1

42 2022 2 1 1

42 2023 2 1 1

42 2024 2 1 1
42 2025 2 1 1

42 2026 2 1 1

42 2027 2 1 1

42 2028 2 1 1
42 2029 2 1 1

42 2030 2 1 1

42 2031 2 1 1

42 2032 2 1 1
42 2033 2 1 1

42 2034 2 1 1

42 2035 2 1 1

42 2036 2 1 1
42 2037 2 1 1

42 2038 2 1 1

42 2039 2 1 1

42 2040 2 1 1
42 2041 2 1 1

42 2042 2 1 1

42 2043 2 1 1

42 2044 2 1 1
42 2045 2 1 1

42 2046 2 1 1

42 2047 2 1 1

42 2048 2 1 1
42 2049 2 1 1

42 2050 2 1 1

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



## 1.9 Output

The MOVES output section requires the designation o f an output database. A new database was created for each new RunSpec. Output units sele cted for mass, energy and distance were grams, joules and miles. Activity output was not s elected. The second output screen requires further selection for data aggregation and data opt ions. Hour was selected for Time, and County was selected for Location. Road Type and So urce Type were also selected.



## 2. Data Importers

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



## 2.1 Meteorology Data Importer

In this type of Importer, meteorology data is conve rted to a MOVES input format. This dataset has different data items like month ID, Zone ID, ho ur ID, Temperature and Relative Humidity. The Ohio and Kentucky custom domains use the identi cal temperature data obtained from the Kentucky Division for Air Quality (KDAQ). Even tho ugh ODOT has provided the temperature data (collected from local airports), KDAQ data app eared to be more applicable. A portion of the KDAQ temperature file is shown in Table 2.1. A s previously discussed, annual average minimum and maximum temperatures and humidity value s were calculated and used in the PM2.5 analysis.

Table 2.1 : Meteorology Data

monthID zoneID hourID temperature relHumidity

1 993900 1 23.2 100

1 993900 2 22.2 100

1 993900 3 21.4 100

1 993900 4 20.9 100

1 993900 5 20.4 100

1 993900 6 19.9 100

1 993900 7 19.5 100

1 993900 8 19.9 100

1 993900 9 22 100

1 993900 10 25.4 100

1 993900 11 28.9 87.6

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

1 993900 12 31.9 77.5

1 993900 13 34.5 69.7

1 993900 14 36 65.9

1 993900 15 36.5 64.6

1 993900 16 36.6 64.2

1 993900 17 36.2 65.1

1 993900 18 35.2 67.8

1 993900 19 33.5 72.6

1 993900 20 31.3 79.3

1 993900 21 29.1 86.8

1 993900 22 27.2 93.9

1 993900 23 25.8 99.4

1 993900 24 24.5 100



## 2.2 Source Type Population Importer

The source type population importer converts vehicl e type, and registered vehicle population in into MOVES database format. ODOT has provided us wi th the registered vehicle population in each county in the Ohio portion of the region for 1 3 MOVES vehicle types. KYTC has provided registered vehicle population by county for 6 HPMS vehicle types. The KYTC data was converted to the 13 MOVES vehicle types based on th e Ohio distribution. Same vehicle population was used for all analysis years. As per suggestions made by FHWA, the source type population has been forecasted for future years wit h +0.8 % per year. Similarly, the source type populations has been estimated for past years. The MOVES default source type population for intercity bus, refuse trucks, motor homes and combi nation trucks was used. In addition, MOVES default source type population for passenger trucks and light commercial trucks was used for Kentucky. The MOVES default source type p opulation was acquired from the MOVES activity output tables from county-level inventory runs.

Table 2.21: Ohio Source Type Population (acquired f rom ODOT and default)

yearID sourceTypeID sourceTypePopulation

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

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

2008 62 5548



### Table 2.22: Kentucky Source Type population (acquir ed from KYTC and default)

yearID sourceTypeID sourceTypePopulation

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



## 2.3 Age Distribution Importer

For emission calculation, MOVES requires vehicle Ag e Distribution by Source Type. Vehicle Age Distribution is divided into 30 years based on vehi cle model years. For each vehicle type, the distribution sum adds up to one. ODOT has obtained vehicle registration data from the Ohio
Bureau of Motor Vehicles for all the counties in Oh io and processed them to convert into MOVES Age Distribution for 13 vehicle types. KYTC a lso provided vehicle registration data. We have used the same Age Distribution for all year ru ns. All the vehicles older than 30 years are considered as 30-years old. Identical age distribut ion is used for all analysis years. KYTC also provided similar information, but for the 6 HPMS ty pes only. For Kentucky, identical age distributions are used within each HPMS vehicle typ e.

Table 2.3: Ohio Custom Domain Age
distribution

Source TypeID yearID ageID ageFraction

11 2008 0 0.0019

11 2008 1 0.0191

11 2008 2 0.0531

11 2008 3 0.0688

11 2008 4 0.0773

11 2008 5 0.0737

11 2008 6 0.0611

11 2008 7 0.0780 11 2008 8 0.0636

11 2008 9 0.0537

11 2008 10 0.0435

11 2008 11 0.0359

11 2008 12 0.0282

11 2008 13 0.0230

11 2008 14 0.0220

11 2008 15 0.0183

11 2008 16 0.0160

11 2008 17 0.0146

11 2008 18 0.0097

11 2008 19 0.0080

11 2008 20 0.0072

11 2008 21 0.0086

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

11 2008 22 0.0084

11 2008 23 0.0121

11 2008 24 0.0171

11 2008 25 0.0179

11 2008 26 0.0137

11 2008 27 0.0171

11 2008 28 0.0249

11 2008 29 0.0172

11 2008 30 0.0862

21 2008 0 0.0121

21 2008 1 0.0331

21 2008 2 0.0440

21 2008 3 0.0528

21 2008 4 0.0534

21 2008 5 0.0566

21 2008 6 0.0570

21 2008 7 0.0592

21 2008 8 0.0591

21 2008 9 0.0542

21 2008 10 0.0590

21 2008 11 0.0568

21 2008 12 0.0507

21 2008 13 0.0499

21 2008 14 0.0438

21 2008 15 0.0453

21 2008 16 0.0368

21 2008 17 0.0308

21 2008 18 0.0261

21 2008 19 0.0207

21 2008 20 0.0165

21 2008 21 0.0132

21 2008 22 0.0095

21 2008 23 0.0073

21 2008 24 0.0059

21 2008 25 0.0043

21 2008 26 0.0033

21 2008 27 0.0017

21 2008 28 0.0011

21 2008 29 0.0010

21 2008 30 0.0346
31 2008 0 0.0103
31 2008 1 0.0279
31 2008 2 0.0502
31 2008 3 0.0570
31 2008 4 0.0659
31 2008 5 0.0806
31 2008 6 0.0796
31 2008 7 0.0733
31 2008 8 0.0727 31 2008 9 0.0599
31 2008 10 0.0625
31 2008 11 0.0603
31 2008 12 0.0516
31 2008 13 0.0432
31 2008 14 0.0380
31 2008 15 0.0386
31 2008 16 0.0302
31 2008 17 0.0260
31 2008 18 0.0165
31 2008 19 0.0125
31 2008 20 0.0093
31 2008 21 0.0084
31 2008 22 0.0067
31 2008 23 0.0051
31 2008 24 0.0037
31 2008 25 0.0025
31 2008 26 0.0017
31 2008 27 0.0009
31 2008 28 0.0004
31 2008 29 0.0002
31 2008 30 0.0041
32 2008 0 0.0178
32 2008 1 0.0459
32 2008 2 0.0871
32 2008 3 0.0699
32 2008 4 0.0707
32 2008 5 0.0357
32 2008 6 0.0355
32 2008 7 0.0369
32 2008 8 0.0366
32 2008 9 0.0407
32 2008 10 0.0491
32 2008 11 0.0547
32 2008 12 0.0427
32 2008 13 0.0413
32 2008 14 0.0383
32 2008 15 0.0602
32 2008 16 0.0476
32 2008 17 0.0381
32 2008 18 0.0304
32 2008 19 0.0181
32 2008 20 0.0212
32 2008 21 0.0184
32 2008 22 0.0135
32 2008 23 0.0134
32 2008 24 0.0095
32 2008 25 0.0070
32 2008 26 0.0054

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

32 2008 27 0.0021
32 2008 28 0.0014
32 2008 29 0.0008
32 2008 30 0.0100

41 2008 0 0.0000

41 2008 1 0.0309

41 2008 2 0.0884

41 2008 3 0.0890

41 2008 4 0.0768

41 2008 5 0.0746

41 2008 6 0.0967

41 2008 7 0.0635

41 2008 8 0.0486

41 2008 9 0.0801

41 2008 10 0.0751

41 2008 11 0.0624

41 2008 12 0.0254

41 2008 13 0.0271

41 2008 14 0.0188

41 2008 15 0.0193

41 2008 16 0.0133

41 2008 17 0.0177

41 2008 18 0.0094

41 2008 19 0.0177

41 2008 20 0.0171

41 2008 21 0.0099

41 2008 22 0.0039

41 2008 23 0.0055

41 2008 24 0.0061

41 2008 25 0.0011

41 2008 26 0.0033

41 2008 27 0.0033

41 2008 28 0.0028

41 2008 29 0.0017

41 2008 30 0.0105

42 2008 0 0.0000

42 2008 1 0.0366

42 2008 2 0.1098

42 2008 3 0.0366

42 2008 4 0.1585

42 2008 5 0.0366

42 2008 6 0.0610

42 2008 7 0.0610

42 2008 8 0.0244

42 2008 9 0.1098

42 2008 10 0.0366

42 2008 11 0.0976

42 2008 12 0.0366

42 2008 13 0.0244 42 2008 14 0.0244

42 2008 15 0.0122

42 2008 16 0.0244

42 2008 17 0.0244

42 2008 18 0.0366

42 2008 19 0.0000

42 2008 20 0.0000

42 2008 21 0.0122

42 2008 22 0.0000

42 2008 23 0.0000

42 2008 24 0.0000

42 2008 25 0.0000

42 2008 26 0.0122

42 2008 27 0.0000

42 2008 28 0.0000

42 2008 29 0.0122

42 2008 30 0.0122
43 2008 0 0.0905
43 2008 1 0.0302
43 2008 2 0.0549
43 2008 3 0.0467
43 2008 4 0.0592
43 2008 5 0.0723
43 2008 6 0.0481
43 2008 7 0.0334
43 2008 8 0.0668
43 2008 9 0.0647
43 2008 10 0.0842
43 2008 11 0.0864
43 2008 12 0.0473
43 2008 13 0.0500
43 2008 14 0.0242
43 2008 15 0.0185
43 2008 16 0.0106
43 2008 17 0.0228
43 2008 18 0.0109
43 2008 19 0.0130
43 2008 20 0.0125
43 2008 21 0.0092
43 2008 22 0.0062
43 2008 23 0.0079
43 2008 24 0.0090
43 2008 25 0.0035
43 2008 26 0.0030
43 2008 27 0.0011
43 2008 28 0.0027
43 2008 29 0.0016
43 2008 30 0.0087

51 2008 0 0.0054

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

51 2008 1 0.0488

51 2008 2 0.0623

51 2008 3 0.0705

51 2008 4 0.0867

51 2008 5 0.0434

51 2008 6 0.0434

51 2008 7 0.0542

51 2008 8 0.0542

51 2008 9 0.0759

51 2008 10 0.0217

51 2008 11 0.0407

51 2008 12 0.0786

51 2008 13 0.0542

51 2008 14 0.0515

51 2008 15 0.0678

51 2008 16 0.0325

51 2008 17 0.0081

51 2008 18 0.0163

51 2008 19 0.0027

51 2008 20 0.0081

51 2008 21 0.0000

51 2008 22 0.0027

51 2008 23 0.0027

51 2008 24 0.0136

51 2008 25 0.0000

51 2008 26 0.0000

51 2008 27 0.0000

51 2008 28 0.0027

51 2008 29 0.0000

51 2008 30 0.0515
52 2008 0 0.0054
52 2008 1 0.0488
52 2008 2 0.0623
52 2008 3 0.0705
52 2008 4 0.0867
52 2008 5 0.0434
52 2008 6 0.0434
52 2008 7 0.0542
52 2008 8 0.0542
52 2008 9 0.0759
52 2008 10 0.0217
52 2008 11 0.0407
52 2008 12 0.0786
52 2008 13 0.0542
52 2008 14 0.0515
52 2008 15 0.0678
52 2008 16 0.0325
52 2008 17 0.0081
52 2008 18 0.0163 52 2008 19 0.0027
52 2008 20 0.0081
52 2008 21 0.0000
52 2008 22 0.0027
52 2008 23 0.0027
52 2008 24 0.0136
52 2008 25 0.0000
52 2008 26 0.0000
52 2008 27 0.0000
52 2008 28 0.0027
52 2008 29 0.0000
52 2008 30 0.0515
53 2008 0 0.0000
53 2008 1 0.0062
53 2008 2 0.0373
53 2008 3 0.0093
53 2008 4 0.0280
53 2008 5 0.0342
53 2008 6 0.0186
53 2008 7 0.0186
53 2008 8 0.0124
53 2008 9 0.0155
53 2008 10 0.0217
53 2008 11 0.0373
53 2008 12 0.0093
53 2008 13 0.0311
53 2008 14 0.0217
53 2008 15 0.0373
53 2008 16 0.0217
53 2008 17 0.0342
53 2008 18 0.0124
53 2008 19 0.0186
53 2008 20 0.0248
53 2008 21 0.0373
53 2008 22 0.0186
53 2008 23 0.0248
53 2008 24 0.0062
53 2008 25 0.0373
53 2008 26 0.0155
53 2008 27 0.0186
53 2008 28 0.0217
53 2008 29 0.0186
53 2008 30 0.3509

54 2008 0 0.0077

54 2008 1 0.0170

54 2008 2 0.0377

54 2008 3 0.0424

54 2008 4 0.0471

54 2008 5 0.0579

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

54 2008 6 0.0552

54 2008 7 0.0485

54 2008 8 0.0406

54 2008 9 0.0439

54 2008 10 0.0505

54 2008 11 0.0539

54 2008 12 0.0435

54 2008 13 0.0360

54 2008 14 0.0348

54 2008 15 0.0375

54 2008 16 0.0303

54 2008 17 0.0231

54 2008 18 0.0196

54 2008 19 0.0150

54 2008 20 0.0183

54 2008 21 0.0208

54 2008 22 0.0218

54 2008 23 0.0217

54 2008 24 0.0186

54 2008 25 0.0173

54 2008 26 0.0163

54 2008 27 0.0118

54 2008 28 0.0084

54 2008 29 0.0059

54 2008 30 0.0968
61 2008 0 0.0030
61 2008 1 0.0167
61 2008 2 0.0334
61 2008 3 0.0393
61 2008 4 0.0506
61 2008 5 0.0530
61 2008 6 0.0620
61 2008 7 0.0625
61 2008 8 0.0562
61 2008 9 0.0551
61 2008 10 0.0595
61 2008 11 0.0569
61 2008 12 0.0458
61 2008 13 0.0493
61 2008 14 0.0380
61 2008 15 0.0435
61 2008 16 0.0425
61 2008 17 0.0312
61 2008 18 0.0262
61 2008 19 0.0235
61 2008 20 0.0201
61 2008 21 0.0225
61 2008 22 0.0212
61 2008 23 0.0141 61 2008 24 0.0137
61 2008 25 0.0096
61 2008 26 0.0069
61 2008 27 0.0039
61 2008 28 0.0030
61 2008 29 0.0027
61 2008 30 0.0343
62 2008 0 0.0078
62 2008 1 0.0232
62 2008 2 0.0307
62 2008 3 0.0907
62 2008 4 0.0721
62 2008 5 0.0808
62 2008 6 0.0564
62 2008 7 0.0520
62 2008 8 0.0360
62 2008 9 0.0552
62 2008 10 0.1019
62 2008 11 0.0813
62 2008 12 0.0603
62 2008 13 0.0425
62 2008 14 0.0439
62 2008 15 0.0442
62 2008 16 0.0273
62 2008 17 0.0202
62 2008 18 0.0122
62 2008 19 0.0101
62 2008 20 0.0103
62 2008 21 0.0080
62 2008 22 0.0079
62 2008 23 0.0058
62 2008 24 0.0050
62 2008 25 0.0036
62 2008 26 0.0038
62 2008 27 0.0001
62 2008 28 0.0012
62 2008 29 0.0010
62 2008 30 0.0046

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



### Table 2 : Kentucky Custom Domain Age
distribution

Source TypeID yearID ageID ageFraction

11 2008 0 0.0020

11 2008 1 0.0323

11 2008 2 0.0606

11 2008 3 0.0826

11 2008 4 0.0831

11 2008 5 0.0774

11 2008 6 0.0667

11 2008 7 0.0830

11 2008 8 0.0650

11 2008 9 0.0495

11 2008 10 0.0424

11 2008 11 0.0345

11 2008 12 0.0287

11 2008 13 0.0214

11 2008 14 0.0240

11 2008 15 0.0208

11 2008 16 0.0138

11 2008 17 0.0129

11 2008 18 0.0092

11 2008 19 0.0051

11 2008 20 0.0052

11 2008 21 0.0058

11 2008 22 0.0078

11 2008 23 0.0108

11 2008 24 0.0153

11 2008 25 0.0168

11 2008 26 0.0124

11 2008 27 0.0160

11 2008 28 0.0228

11 2008 29 0.0152

11 2008 30 0.0568

21 2008 0 0.0118

21 2008 1 0.0665

21 2008 2 0.0596

21 2008 3 0.0642

21 2008 4 0.0611

21 2008 5 0.0705

21 2008 6 0.0694

21 2008 7 0.0699

21 2008 8 0.0719

21 2008 9 0.0619 21 2008 10 0.0633

21 2008 11 0.0591

21 2008 12 0.0490

21 2008 13 0.0442

21 2008 14 0.0348

21 2008 15 0.0318

21 2008 16 0.0241

21 2008 17 0.0191

21 2008 18 0.0142

21 2008 19 0.0111

21 2008 20 0.0088

21 2008 21 0.0066

21 2008 22 0.0049

21 2008 23 0.0039

21 2008 24 0.0028

21 2008 25 0.0024

21 2008 26 0.0018

21 2008 27 0.0009

21 2008 28 0.0005

21 2008 29 0.0005

21 2008 30 0.0094
31 2008 0 0.0000
31 2008 1 0.0000
31 2008 2 0.0000
31 2008 3 0.0000
31 2008 4 0.0238
31 2008 5 0.0119
31 2008 6 0.0119
31 2008 7 0.0119
31 2008 8 0.0119
31 2008 9 0.0000
31 2008 10 0.0238
31 2008 11 0.0357
31 2008 12 0.0119
31 2008 13 0.0952
31 2008 14 0.0833
31 2008 15 0.0595
31 2008 16 0.1071
31 2008 17 0.0357
31 2008 18 0.0357
31 2008 19 0.0357
31 2008 20 0.0119
31 2008 21 0.0476
31 2008 22 0.0238
31 2008 23 0.0119
31 2008 24 0.0119
31 2008 25 0.0595

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

31 2008 26 0.0357
31 2008 27 0.0000
31 2008 28 0.0238
31 2008 29 0.0238
31 2008 30 0.1548
32 2008 0 0.0000
32 2008 1 0.0000
32 2008 2 0.0000
32 2008 3 0.0000
32 2008 4 0.0238
32 2008 5 0.0119
32 2008 6 0.0119
32 2008 7 0.0119
32 2008 8 0.0119
32 2008 9 0.0000
32 2008 10 0.0238
32 2008 11 0.0357
32 2008 12 0.0119
32 2008 13 0.0952
32 2008 14 0.0833
32 2008 15 0.0595
32 2008 16 0.1071
32 2008 17 0.0357
32 2008 18 0.0357
32 2008 19 0.0357
32 2008 20 0.0119
32 2008 21 0.0476
32 2008 22 0.0238
32 2008 23 0.0119
32 2008 24 0.0119
32 2008 25 0.0595
32 2008 26 0.0357
32 2008 27 0.0000
32 2008 28 0.0238
32 2008 29 0.0238
32 2008 30 0.1548

41 2008 0 0.0455

41 2008 1 0.1136

41 2008 2 0.0000

41 2008 3 0.0114

41 2008 4 0.0227

41 2008 5 0.0000

41 2008 6 0.0000

41 2008 7 0.0114

41 2008 8 0.0114

41 2008 9 0.0227

41 2008 10 0.0114

41 2008 11 0.0568

41 2008 12 0.1250 41 2008 13 0.0227

41 2008 14 0.0000

41 2008 15 0.0341

41 2008 16 0.0341

41 2008 17 0.0682

41 2008 18 0.0455

41 2008 19 0.0909

41 2008 20 0.0568

41 2008 21 0.0455

41 2008 22 0.0341

41 2008 23 0.0455

41 2008 24 0.0227

41 2008 25 0.0227

41 2008 26 0.0114

41 2008 27 0.0000

41 2008 28 0.0227

41 2008 29 0.0000

41 2008 30 0.0114

42 2008 0 0.0455

42 2008 1 0.1136

42 2008 2 0.0000

42 2008 3 0.0114

42 2008 4 0.0227

42 2008 5 0.0000

42 2008 6 0.0000

42 2008 7 0.0114

42 2008 8 0.0114

42 2008 9 0.0227

42 2008 10 0.0114

42 2008 11 0.0568

42 2008 12 0.1250

42 2008 13 0.0227

42 2008 14 0.0000

42 2008 15 0.0341

42 2008 16 0.0341

42 2008 17 0.0682

42 2008 18 0.0455

42 2008 19 0.0909

42 2008 20 0.0568

42 2008 21 0.0455

42 2008 22 0.0341

42 2008 23 0.0455

42 2008 24 0.0227

42 2008 25 0.0227

42 2008 26 0.0114

42 2008 27 0.0000

42 2008 28 0.0227

42 2008 29 0.0000

42 2008 30 0.0114

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

43 2008 0 0.0455
43 2008 1 0.1136
43 2008 2 0.0000
43 2008 3 0.0114
43 2008 4 0.0227
43 2008 5 0.0000
43 2008 6 0.0000
43 2008 7 0.0114
43 2008 8 0.0114
43 2008 9 0.0227
43 2008 10 0.0114
43 2008 11 0.0568
43 2008 12 0.1250
43 2008 13 0.0227
43 2008 14 0.0000
43 2008 15 0.0341
43 2008 16 0.0341
43 2008 17 0.0682
43 2008 18 0.0455
43 2008 19 0.0909
43 2008 20 0.0568
43 2008 21 0.0455
43 2008 22 0.0341
43 2008 23 0.0455
43 2008 24 0.0227
43 2008 25 0.0227
43 2008 26 0.0114
43 2008 27 0.0000
43 2008 28 0.0227
43 2008 29 0.0000
43 2008 30 0.0114

51 2008 0 0.0025

51 2008 1 0.0200

51 2008 2 0.0386

51 2008 3 0.0436

51 2008 4 0.0495

51 2008 5 0.0579

51 2008 6 0.0667

51 2008 7 0.0698

51 2008 8 0.0620

51 2008 9 0.0611

51 2008 10 0.0675

51 2008 11 0.0619

51 2008 12 0.0508

51 2008 13 0.0529

51 2008 14 0.0397

51 2008 15 0.0397

51 2008 16 0.0375

51 2008 17 0.0276 51 2008 18 0.0204

51 2008 19 0.0184

51 2008 20 0.0158

51 2008 21 0.0174

51 2008 22 0.0152

51 2008 23 0.0108

51 2008 24 0.0108

51 2008 25 0.0071

51 2008 26 0.0052

51 2008 27 0.0031

51 2008 28 0.0021

51 2008 29 0.0021

51 2008 30 0.0220
52 2008 0 0.0025
52 2008 1 0.0200
52 2008 2 0.0386
52 2008 3 0.0436
52 2008 4 0.0495
52 2008 5 0.0579
52 2008 6 0.0667
52 2008 7 0.0698
52 2008 8 0.0620
52 2008 9 0.0611
52 2008 10 0.0675
52 2008 11 0.0619
52 2008 12 0.0508
52 2008 13 0.0529
52 2008 14 0.0397
52 2008 15 0.0397
52 2008 16 0.0375
52 2008 17 0.0276
52 2008 18 0.0204
52 2008 19 0.0184
52 2008 20 0.0158
52 2008 21 0.0174
52 2008 22 0.0152
52 2008 23 0.0108
52 2008 24 0.0108
52 2008 25 0.0071
52 2008 26 0.0052
52 2008 27 0.0031
52 2008 28 0.0021
52 2008 29 0.0021
52 2008 30 0.0220
53 2008 0 0.0025
53 2008 1 0.0200
53 2008 2 0.0386
53 2008 3 0.0436
53 2008 4 0.0495

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

53 2008 5 0.0579
53 2008 6 0.0667
53 2008 7 0.0698
53 2008 8 0.0620
53 2008 9 0.0611
53 2008 10 0.0675
53 2008 11 0.0619
53 2008 12 0.0508
53 2008 13 0.0529
53 2008 14 0.0397
53 2008 15 0.0397
53 2008 16 0.0375
53 2008 17 0.0276
53 2008 18 0.0204
53 2008 19 0.0184
53 2008 20 0.0158
53 2008 21 0.0174
53 2008 22 0.0152
53 2008 23 0.0108
53 2008 24 0.0108
53 2008 25 0.0071
53 2008 26 0.0052
53 2008 27 0.0031
53 2008 28 0.0021
53 2008 29 0.0021
53 2008 30 0.0220

54 2008 0 0.0025

54 2008 1 0.0200

54 2008 2 0.0386

54 2008 3 0.0436

54 2008 4 0.0495

54 2008 5 0.0579

54 2008 6 0.0667

54 2008 7 0.0698

54 2008 8 0.0620

54 2008 9 0.0611

54 2008 10 0.0675

54 2008 11 0.0619

54 2008 12 0.0508

54 2008 13 0.0529

54 2008 14 0.0397

54 2008 15 0.0397

54 2008 16 0.0375

54 2008 17 0.0276

54 2008 18 0.0204

54 2008 19 0.0184

54 2008 20 0.0158

54 2008 21 0.0174

54 2008 22 0.0152 54 2008 23 0.0108

54 2008 24 0.0108

54 2008 25 0.0071

54 2008 26 0.0052

54 2008 27 0.0031

54 2008 28 0.0021

54 2008 29 0.0021

54 2008 30 0.0220
61 2008 0 0.0000
61 2008 1 0.0064
61 2008 2 0.0295
61 2008 3 0.0205
61 2008 4 0.0321
61 2008 5 0.0346
61 2008 6 0.0423
61 2008 7 0.0308
61 2008 8 0.0269
61 2008 9 0.0179
61 2008 10 0.0462
61 2008 11 0.0410
61 2008 12 0.0359
61 2008 13 0.0513
61 2008 14 0.0333
61 2008 15 0.0359
61 2008 16 0.0423
61 2008 17 0.0269
61 2008 18 0.0295
61 2008 19 0.0231
61 2008 20 0.0385
61 2008 21 0.0397
61 2008 22 0.0333
61 2008 23 0.0346
61 2008 24 0.0295
61 2008 25 0.0192
61 2008 26 0.0346
61 2008 27 0.0128
61 2008 28 0.0141
61 2008 29 0.0128
61 2008 30 0.1244
62 2008 0 0.0000
62 2008 1 0.0064
62 2008 2 0.0295
62 2008 3 0.0205
62 2008 4 0.0321
62 2008 5 0.0346
62 2008 6 0.0423
62 2008 7 0.0308
62 2008 8 0.0269
62 2008 9 0.0179

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

62 2008 10 0.0462
62 2008 11 0.0410
62 2008 12 0.0359
62 2008 13 0.0513
62 2008 14 0.0333
62 2008 15 0.0359
62 2008 16 0.0423
62 2008 17 0.0269
62 2008 18 0.0295
62 2008 19 0.0231
62 2008 20 0.0385
62 2008 21 0.0397
62 2008 22 0.0333
62 2008 23 0.0346
62 2008 24 0.0295
62 2008 25 0.0192
62 2008 26 0.0346
62 2008 27 0.0128
62 2008 28 0.0141
62 2008 29 0.0128
62 2008 30 0.1244

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



## 2.4 Vehicle Type VMT and VMT Fractions

This option is useful to import the annual VMT by s ource type into MOVES format. It has input option as HPMS Base Year VMT, for which we can eith er use HPMS data or the Travel Demand Model output. We have used daily VMT from the OKI R egional Travel Demand Model and converted to annual VMT using the VMT converter. Op tions include Month VMT fraction, Day VMT fraction and Hour VMT fraction, which are usefu l for calculating emissions for different time periods. We have used default Monthly VMT dist ribution factors provided in the VMT Converter provided by EPA. Hourly distribution fact ors are developed from traffic count data collected in the region from 2004-2006 and the same set of hourly distribution factors are used for all vehicle types and road types. OKI model cou ld only predict VMT of two different vehicle types’ autos and trucks. So, we have distributed to tal Annual VMT based on vehicle population in the region.

Table 2.41 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2005

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.41a :Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2005

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.42: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2008

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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

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



### Table 2.42a : Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2008

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.43: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2011

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 69438850.44 0
20 2008 7668102136 0
30 2008 5118911580 0
40 2008 25379858.39 0
50 2008 346185689.5 0
60 2008 587909153 0



### Table2.43a: Annual VMT for Kentucky Custom Domain f rom OKI travel demand model for 2011

Table 2.44 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2015

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.44a: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2015

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2015 19903870 0 

### HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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

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

20 2015 2169006811 0
30 2015 1445127874 0
40 2015 7131270 0
50 2015 98052996 0
60 2015 192017502 0



### Table 2.45: Annual VMT for Kentucky Custom Domain f rom OKI travel demand model for 2018

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.45a: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2018

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.46 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2021

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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



### Table 2.46a : Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2021

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

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

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



### Table 2.47 : Day VMT Fractions used in all RunSpecs

sourceTypeID monthID roadTypeID dayID dayVMTFraction

11 1 1 2 0.237635

11 1 1 5 0.762365

11 1 2 2 0.237635

11 1 2 5 0.762365

11 1 3 2 0.237635

11 1 3 5 0.762365

11 1 4 2 0.237635

11 1 4 5 0.762365

11 1 5 2 0.237635

11 1 5 5 0.762365



### Table 2.48: Hour VMT Fractions used in all RunSpecs

sourceTypeID roadTypeID dayID hourID hourVMTFraction

11 1 2 1 0.021474

11 1 2 2 0.014443

11 1 2 3 0.010968

11 1 2 4 0.007495

11 1 2 5 0.006839

11 1 2 6 0.010359

11 1 2 7 0.01843

11 1 2 8 0.026812

11 1 2 9 0.036385

11 1 2 10 0.047541

11 1 2 11 0.057466

11 1 2 12 0.065079

11 1 2 13 0.071323

11 1 2 14 0.071492

11 1 2 15 0.071723

11 1 2 16 0.072006

11 1 2 17 0.071149

11 1 2 18 0.067887

11 1 2 19 0.061772

11 1 2 20 0.051688

11 1 2 21 0.042866

11 1 2 22 0.03803

11 1 2 23 0.032207

11 1 2 24 0.024568

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



## 2.5 Average Speed Distribution Importer

This importer allows the user to input average spee d data specific to vehicle type, road type, and time of day/ type of day. The MOVES model defin es 16 “speed bins” which describe the average driving speed on each road type. Unlike MOB ILE 6.2 model, which uses VMT-based speed distribution, MOVES uses fraction of driving time in each speed bin for each vehicle type, for each road type, and for each hour. Thus, for ea ch combination of vehicle type, road type, and hour/day type, the fractions will add to one. This importer was not used for the PM2.5 analysis. OKI utilized a FORTRAN program to post-p rocess OKI Travel Demand Model results into VHT distribution by the MOVES 16 average speed bins.



## 2.6 Road Type Distribution Importer

VHT distribution by the fives MOVES roadway types i s provided from the OKI Travel Demand Model thru the use of post-processing FORTRAN progr am. OKI travel demand model can calculate the VMT or VHT distribution by functional class, which is further processed to obtain road type VMT/VHT distribution. But, our model coul d not predict off network VMT, which is
assumed as zero.



## 2.7 Ramp Fraction Importer

This option allows the user to modify the fraction of ramp driving time on selected road types. But, in the current version of MOVES model (MOVES20 10), the emission rates for ramps are erroneously calculated. To circumvent this problem , FHWA has suggested a temporary
solution. This solution discussed in the Section 3.



## 2.8 Fuel Formulation Importer and Fuel Supply Import er

The Fuel formulation importer allows the user to select an existing fuel in the MOVES database and change its properties, or create a new fuel for mulation with different fuel properties. But we have used only default fuels available in MOVES default database. The default values were verified by ODOT and KDAQ. Fuel supply importer al lows the user to assign existing fuels to counties, months, and years, and the associated mar ket share for each fuel. We have used default fuel supply from MOVES default database. T he same type of fuel is used for the entire
custom domain.

Table 2.81 : Fuel supply data for Ohio Custom Domai n ( same for all years)



### countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

99390 2008 1 3982 1
99390 2008 1 20011 1

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

99390 2008 2 3982 1
99390 2008 2 20011 1
99390 2008 3 3982 1
99390 2008 3 20011 1
99390 2008 4 3982 1
99390 2008 4 20011 1
99390 2008 5 3982 1
99390 2008 5 20011 1
99390 2008 6 3982 1
99390 2008 6 20011 1
99390 2008 7 3982 1
99390 2008 7 20011 1
99390 2008 8 3982 1
99390 2008 8 20011 1
99390 2008 9 3982 1
99390 2008 9 20011 1
99390 2008 10 3982 1
99390 2008 10 20011 1
99390 2008 11 3982 1
99390 2008 11 20011 1
99390 2008 12 3982 1
99390 2008 12 20011 1



### Table2.82: Fuel supply data for Kentucky Custom Dom ain (same for all years)

countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

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

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

99210 2012 11 20011 1
99210 2012 12 3982 1
99210 2012 12 20011 1



## 2.9 Inspection and Maintenance (I/M) Importer

The I/M Importer allows the user to import informat ion describing the inspection and maintenance programs. The MOVES default database in cludes an I/M program for this regional although it was suspended in 2005. The default I/M program was turned “off” for all analysis years 2008 and later, by inserting “N” in the “useI Myn” field.



## 2.10 Zone Road Activity Importer

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

Table 2.11 : Kentucky Custom Domain Zone road activ ity data (same for all years)

zoneID roadTypeID SHOAllocFactor

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



### Table 2.12 : Ohio Custom Domain Zone road activity data (same for all years)

zoneID roadTypeID SHOAllocFactor

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



## 3. Ramp Inventory Runs

As discussed earlier, current version of the MOVES (MOVES2010) model cannot calculate Emission Rates for Ramps. To deal with this problem , FHWA has suggested an approach. The steps involved in this method are: (a) Calculating Emission Inventory for Urban Restricted and Rural Restricted road types keeping Ramp fraction a s 1 (b) Finding out total VMT of Urban Restricted and Rural Restricted road types using MO VESactivityoutput option (c) Calculation

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



### Emission Rates for Ramps through dividing Emission Inventory with VMT (d) Finally, using the Emission Rates in post processing for calculating r egional Emission Inventory.

Table 3.1 :Ramp fraction Input

roadTypeID rampFraction

2 1
4 1

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



## 4. Post-Processing of MOVES Output

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



## 4.2 Creating Emission Rate Lookup Tables The ratepervehicle and rateperdistance SQL tables, one set for each state (Kentucky and Ohio) and analysis year, were imported into Access. Ohio emission rates are used for the nonattainment portion of Dearborn County Indiana. Rateperprofile output was not generated by MOVES because evaporative output was not selecte d (i.e. VOC). Tables were renamed with state and analysis year in the format OH_20xxratepe rdistance. All rateperdistance tables were merged with a Union query. The SQL commands are sh own in Figure 4.21. ratepervehicle tables were merged in the same manner.

Table 4.21 :Rateperdistance Union Query

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



### “Rateperdistance_state” and “Ratepervehicle_state” tables were created from the union query output using a Make Table query. Emission rates fo r each process were summed by pollutant and a stateID field is created. The SQL commands f or creating the “Rateperdistance_state” table are shown in Table 4.22. Unique index fields were identified for each of the two tables. Indexes facilitate more efficient data processing.

Table 4.22: Rateperdistance_State Query

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

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

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



## 4.3 Creating a VMT Table by County

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

Table 4.3 : VMT and Source Type Population by Count y and Year



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

Boone 3924117 4186006 1273226984 2005 129823 21

Boone 4076584 4355527 1350001557 2008 134028 21

Boone 4383716 4681593 1448879510 2011 136181 21

Boone 4950741 5276742 1628041303 2015 140590 21

Boone 5260102 5597287 1729595179 2018 143991 21

Boone 5478224 5826768 1800571708 2021 147476 21 Campbell 2286217 2437698 741790605 2005 86065 21 Campbell 2339542 2495174 774762729 2008 88853 21 Campbell 2421600 2582758 800372702 2011 90279 21 Campbell 2663159 2844504 875774499 2015 93204 21 Campbell 2771476 2958827 911300109 2018 95458 21 Campbell 2849127 3041704 936445364 2021 97768 21

Kenton 3927743 4182042 1274091658 2005 148193 21

Kenton 3927332 4185652 1300575265 2008 152992 21

Kenton 4049886 4327836 1338544021 2011 155451 21

Kenton 4341124 4614242 1427569992 2015 160484 21

Kenton 4629694 4880614 1522308203 2018 164368 21

Kenton 4715306 5006383 1549817345 2021 168343 21
Butler 578641 7804476 196737836 2005 24915 39

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



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

Warren 5884216 6263010 1949617151 2005 233106 39

Warren 6057338 6464217 2031753523 2008 240655 39

Warren 6406284 6835660 2143504189 2011 244521 39

Warren 6842828 7279441 2285055662 2015 252440 39

Warren 7368035 7836746 2460615706 2018 258547 39

Warren 7707500 8194596 2498432370 2021 264802 39



## 4.4 Source type population and source type VMT distr ibution

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

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



### Table 4.4: Base Year Source Type Population and VMT Fraction

stateID sourceTypeID sourceType Population sourceTypeFract ion sourceTypeVMTFraction

39 11 69121 0.038559 0.005026

39 21 1200827 0.669872 0.555019

39 31 486373 0.271319 0.277725

39 32 15947 0.008896 0.092783

39 41 458 0.000255 0.000754

39 42 82 0.000046 0.000225

39 43 3681 0.002053 0.000858

39 51 0 0.000000 0.000644

39 52 369 0.000206 0.020527

39 53 364 0.000203 0.002663

39 54 4928 0.002749 0.001224

39 61 4879 0.002722 0.017977

39 62 5593 0.003120 0.024576

21 11 8040 0.021370 0.005063

21 21 198623 0.527931 0.551736

21 31 121506 0.322958 0.275546

21 32 40593 0.107894 0.092055

21 41 128 0.000340 0.000745

21 42 21 0.000056 0.000222

21 43 985 0.002618 0.000847

21 51 0 0.000000 0.000641

21 52 767 0.002039 0.020433

21 53 757 0.002012 0.002650

21 54 1390 0.003695 0.001218

21 61 1593 0.004234 0.020634

21 62 1826 0.004853 0.028210



## 4.5 Hourly distribution Hourly distribution factors were derived from OKI’s traffic count database using 2004-2006

counts.



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

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



### Table 4.6: Base Year Source Type Population and VMT Fraction

sourceTypeID roadTypeID roadTypeVMTFraction stateID

21 1 0 21

21 2 0.0952 21

21 3 0.0818 21

21 4 0.4741 21

21 5 0.3489 21

31 1 0 21

31 2 0.0952 21

31 3 0.0818 21

31 4 0.4741 21

31 5 0.3489 21

21 1 0 39

21 2 0.0436 39

21 3 0.1256 39

21 4 0.4143 39

21 5 0.4165 39

31 1 0 39

31 2 0.0436 39

31 3 0.1256 39

31 4 0.4143 39

31 5 0.4165 39



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

Table 4.7: Average Speed Distribution (Example: onl y road type 2, year 2011, Ohio values shown)

road TypeID hourID avgSpeedBinID avgSpeedFraction YearID stateID

2 1 1 0.00000000 2011 39

2 1 2 0.00000000 2011 39

2 1 3 0.00000000 2011 39

2 1 4 0.00000000 2011 39

2 1 5 0.00000000 2011 39

2 1 6 0.00000000 2011 39

2 1 7 0.00000000 2011 39

2 1 8 0.00000000 2011 39

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



### 2 1 9 0.00000000 2011 39

2 1 10 0.11922233 2011 39

2 1 11 0.12547629 2011 39

2 1 12 0.19752816 2011 39

2 1 13 0.00589550 2011 39

2 1 14 0.00000000 2011 39

2 1 15 0.55187773 2011 39

2 1 16 0.00000000 2011 39

2 2 1 0.00000000 2011 39

2 2 2 0.00000000 2011 39

2 2 3 0.00000000 2011 39

2 2 4 0.00000000 2011 39

2 2 5 0.00000000 2011 39

2 2 6 0.00000000 2011 39

2 2 7 0.00000000 2011 39

2 2 8 0.00000000 2011 39

2 2 9 0.00000000 2011 39

2 2 10 0.11922233 2011 39

2 2 11 0.12547629 2011 39

2 2 12 0.19752816 2011 39

2 2 13 0.00589550 2011 39

2 2 14 0.00000000 2011 39

2 2 15 0.55187773 2011 39

2 2 16 0.00000000 2011 39

2 3 1 0.00000000 2011 39

2 3 2 0.00000000 2011 39

2 3 3 0.00000000 2011 39

2 3 4 0.00000000 2011 39

2 3 5 0.00000000 2011 39

2 3 6 0.00000000 2011 39

2 3 7 0.00000000 2011 39

2 3 8 0.00000000 2011 39

2 3 9 0.00000000 2011 39

2 3 10 0.11922233 2011 39

2 3 11 0.12547629 2011 39

2 3 12 0.19752816 2011 39

2 3 13 0.00589550 2011 39

2 3 14 0.06436270 2011 39

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



### 2 3 15 0.48751503 2011 39

2 3 16 0.00000000 2011 39

2 4 1 0.00000000 2011 39

2 4 2 0.00000000 2011 39

2 4 3 0.00000000 2011 39

2 4 4 0.00000000 2011 39

2 4 5 0.00000000 2011 39

2 4 6 0.00000000 2011 39

2 4 7 0.00000000 2011 39

2 4 8 0.00000000 2011 39

2 4 9 0.00000000 2011 39

2 4 10 0.11922233 2011 39

2 4 11 0.12547629 2011 39

2 4 12 0.19752816 2011 39

2 4 13 0.00589550 2011 39

2 4 14 0.12369152 2011 39

2 4 15 0.42818621 2011 39

2 4 16 0.00000000 2011 39

2 5 1 0.00000000 2011 39

2 5 2 0.00000000 2011 39

2 5 3 0.00000000 2011 39

2 5 4 0.00000000 2011 39

2 5 5 0.00000000 2011 39

2 5 6 0.00000000 2011 39

2 5 7 0.00000000 2011 39

2 5 8 0.00000000 2011 39

2 5 9 0.00000000 2011 39

2 5 10 0.11922233 2011 39

2 5 11 0.12547629 2011 39

2 5 12 0.26189086 2011 39

2 5 13 0.09782827 2011 39

2 5 14 0.06250896 2011 39

2 5 15 0.33307330 2011 39

2 5 16 0.00000000 2011 39

2 6 1 0.00000000 2011 39

2 6 2 0.12369152 2011 39

2 6 3 0.03260396 2011 39

2 6 4 0.03085494 2011 39

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



### 2 6 5 0.01601927 2011 39

2 6 6 0.01563475 2011 39

2 6 7 0.00000000 2011 39

2 6 8 0.00000000 2011 39

2 6 9 0.00000000 2011 39

2 6 10 0.11922233 2011 39

2 6 11 0.12547629 2011 39

2 6 12 0.19752816 2011 39

2 6 13 0.00589550 2011 39

2 6 14 0.00278921 2011 39

2 6 15 0.33028409 2011 39

2 6 16 0.00000000 2011 39

2 7 1 0.21880443 2011 39

2 7 2 0.00000000 2011 39

2 7 3 0.00278921 2011 39

2 7 4 0.00000000 2011 39

2 7 5 0.01131028 2011 39

2 7 6 0.03548550 2011 39

2 7 7 0.03519436 2011 39

2 7 8 0.03514937 2011 39

2 7 9 0.00617093 2011 39

2 7 10 0.08564905 2011 39

2 7 11 0.14691446 2011 39

2 7 12 0.13064235 2011 39

2 7 13 0.00589550 2011 39

2 7 14 0.14352342 2011 39

2 7 15 0.14247115 2011 39

2 7 16 0.00000000 2011 39

2 8 1 0.21880443 2011 39

2 8 2 0.00278921 2011 39

2 8 3 0.01131028 2011 39

2 8 4 0.01356074 2011 39

2 8 5 0.05711912 2011 39

2 8 6 0.03514937 2011 39

2 8 7 0.02902228 2011 39

2 8 8 0.01193860 2011 39

2 8 9 0.07229727 2011 39

2 8 10 0.05473480 2011 39

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



### 2 8 11 0.08493157 2011 39

2 8 12 0.11645227 2011 39

2 8 13 0.04360641 2011 39

2 8 14 0.20648097 2011 39

2 8 15 0.04180267 2011 39

2 8 16 0.00000000 2011 39

2 9 1 0.21880443 2011 39

2 9 2 0.00000000 2011 39

2 9 3 0.00000000 2011 39

2 9 4 0.00000000 2011 39

2 9 5 0.00000000 2011 39

2 9 6 0.00278921 2011 39

2 9 7 0.00000000 2011 39

2 9 8 0.04679577 2011 39

2 9 9 0.03519436 2011 39

2 9 10 0.08369185 2011 39

2 9 11 0.14590244 2011 39

2 9 12 0.15349370 2011 39

2 9 13 0.02733367 2011 39

2 9 14 0.03771092 2011 39

2 9 15 0.24828365 2011 39

2 9 16 0.00000000 2011 39

2 10 1 0.15629548 2011 39

2 10 2 0.04687421 2011 39

2 10 3 0.01563475 2011 39

2 10 4 0.00000000 2011 39

2 10 5 0.00000000 2011 39

2 10 6 0.00000000 2011 39

2 10 7 0.00000000 2011 39

2 10 8 0.00000000 2011 39

2 10 9 0.00000000 2011 39

2 10 10 0.11922233 2011 39

2 10 11 0.13957578 2011 39

2 10 12 0.18621788 2011 39

2 10 13 0.00589550 2011 39

2 10 14 0.04428952 2011 39

2 10 15 0.28599457 2011 39

2 10 16 0.00000000 2011 39

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



### 2 11 1 0.06436270 2011 39

2 11 2 0.12278771 2011 39

2 11 3 0.01601927 2011 39

2 11 4 0.01563475 2011 39

2 11 5 0.00000000 2011 39

2 11 6 0.00000000 2011 39

2 11 7 0.00000000 2011 39

2 11 8 0.00000000 2011 39

2 11 9 0.00000000 2011 39

2 11 10 0.11922233 2011 39

2 11 11 0.13678656 2011 39

2 11 12 0.18900709 2011 39

2 11 13 0.00589550 2011 39

2 11 14 0.02285135 2011 39

2 11 15 0.30743274 2011 39

2 11 16 0.00000000 2011 39

2 12 1 0.06436270 2011 39

2 12 2 0.09193278 2011 39

2 12 3 0.04687421 2011 39

2 12 4 0.01563475 2011 39

2 12 5 0.00000000 2011 39

2 12 6 0.00000000 2011 39

2 12 7 0.00000000 2011 39

2 12 8 0.00000000 2011 39

2 12 9 0.00000000 2011 39

2 12 10 0.11922233 2011 39

2 12 11 0.12547629 2011 39

2 12 12 0.20031737 2011 39

2 12 13 0.00589550 2011 39

2 12 14 0.02285135 2011 39

2 12 15 0.30743274 2011 39

2 12 16 0.00000000 2011 39

2 13 1 0.06436270 2011 39

2 13 2 0.09193278 2011 39

2 13 3 0.04687421 2011 39

2 13 4 0.01563475 2011 39

2 13 5 0.00000000 2011 39

2 13 6 0.00000000 2011 39

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



### 2 13 7 0.00000000 2011 39

2 13 8 0.00000000 2011 39

2 13 9 0.00000000 2011 39

2 13 10 0.11922233 2011 39

2 13 11 0.12547629 2011 39

2 13 12 0.19752816 2011 39

2 13 13 0.00868471 2011 39

2 13 14 0.00000000 2011 39

2 13 15 0.33028409 2011 39

2 13 16 0.00000000 2011 39

2 14 1 0.06436270 2011 39

2 14 2 0.09193278 2011 39

2 14 3 0.03085494 2011 39

2 14 4 0.03165402 2011 39

2 14 5 0.00000000 2011 39

2 14 6 0.00000000 2011 39

2 14 7 0.00000000 2011 39

2 14 8 0.00000000 2011 39

2 14 9 0.00000000 2011 39

2 14 10 0.11922233 2011 39

2 14 11 0.12547629 2011 39

2 14 12 0.19752816 2011 39

2 14 13 0.00868471 2011 39

2 14 14 0.00000000 2011 39

2 14 15 0.33028409 2011 39

2 14 16 0.00000000 2011 39

2 15 1 0.06436270 2011 39

2 15 2 0.09193278 2011 39

2 15 3 0.04687421 2011 39

2 15 4 0.01563475 2011 39

2 15 5 0.00000000 2011 39

2 15 6 0.00000000 2011 39

2 15 7 0.00000000 2011 39

2 15 8 0.00000000 2011 39

2 15 9 0.00000000 2011 39

2 15 10 0.11922233 2011 39

2 15 11 0.12547629 2011 39

2 15 12 0.19752816 2011 39

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



### 2 15 13 0.00868471 2011 39

2 15 14 0.02285135 2011 39

2 15 15 0.30743274 2011 39

2 15 16 0.00000000 2011 39

2 16 1 0.12369152 2011 39

2 16 2 0.07947816 2011 39

2 16 3 0.01563475 2011 39

2 16 4 0.00000000 2011 39

2 16 5 0.00000000 2011 39

2 16 6 0.00000000 2011 39

2 16 7 0.00000000 2011 39

2 16 8 0.00000000 2011 39

2 16 9 0.00000000 2011 39

2 16 10 0.11922233 2011 39

2 16 11 0.13957578 2011 39

2 16 12 0.18621788 2011 39

2 16 13 0.00589550 2011 39

2 16 14 0.04428952 2011 39

2 16 15 0.28599457 2011 39

2 16 16 0.00000000 2011 39

2 17 1 0.20316968 2011 39

2 17 2 0.01563475 2011 39

2 17 3 0.00000000 2011 39

2 17 4 0.00000000 2011 39

2 17 5 0.00000000 2011 39

2 17 6 0.00000000 2011 39

2 17 7 0.00278921 2011 39

2 17 8 0.02487101 2011 39

2 17 9 0.05711912 2011 39

2 17 10 0.05722137 2011 39

2 17 11 0.15811770 2011 39

2 17 12 0.14489757 2011 39

2 17 13 0.05018502 2011 39

2 17 14 0.00000000 2011 39

2 17 15 0.28599457 2011 39

2 17 16 0.00000000 2011 39

2 18 1 0.15629548 2011 39

2 18 2 0.04687421 2011 39

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



### 2 18 3 0.01563475 2011 39

2 18 4 0.00000000 2011 39

2 18 5 0.00000000 2011 39

2 18 6 0.00000000 2011 39

2 18 7 0.00000000 2011 39

2 18 8 0.00000000 2011 39

2 18 9 0.00000000 2011 39

2 18 10 0.11922233 2011 39

2 18 11 0.13957578 2011 39

2 18 12 0.18621788 2011 39

2 18 13 0.00589550 2011 39

2 18 14 0.04428952 2011 39

2 18 15 0.28599457 2011 39

2 18 16 0.00000000 2011 39

2 19 1 0.00000000 2011 39

2 19 2 0.00000000 2011 39

2 19 3 0.00000000 2011 39

2 19 4 0.00000000 2011 39

2 19 5 0.06436270 2011 39

2 19 6 0.00000000 2011 39

2 19 7 0.05932882 2011 39

2 19 8 0.03260396 2011 39

2 19 9 0.00000000 2011 39

2 19 10 0.15007727 2011 39

2 19 11 0.14149556 2011 39

2 19 12 0.21316291 2011 39

2 19 13 0.00589550 2011 39

2 19 14 0.00000000 2011 39

2 19 15 0.33307330 2011 39

2 19 16 0.00000000 2011 39

2 20 1 0.00000000 2011 39

2 20 2 0.00000000 2011 39

2 20 3 0.00000000 2011 39

2 20 4 0.00000000 2011 39

2 20 5 0.00000000 2011 39

2 20 6 0.00000000 2011 39

2 20 7 0.00000000 2011 39

2 20 8 0.00000000 2011 39

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



### 2 20 9 0.00000000 2011 39

2 20 10 0.11922233 2011 39

2 20 11 0.12547629 2011 39

2 20 12 0.19752816 2011 39

2 20 13 0.00589550 2011 39

2 20 14 0.15629548 2011 39

2 20 15 0.39558226 2011 39

2 20 16 0.00000000 2011 39

2 21 1 0.00000000 2011 39

2 21 2 0.00000000 2011 39

2 21 3 0.00000000 2011 39

2 21 4 0.00000000 2011 39

2 21 5 0.00000000 2011 39

2 21 6 0.00000000 2011 39

2 21 7 0.00000000 2011 39

2 21 8 0.00000000 2011 39

2 21 9 0.00000000 2011 39

2 21 10 0.11922233 2011 39

2 21 11 0.12547629 2011 39

2 21 12 0.19752816 2011 39

2 21 13 0.00589550 2011 39

2 21 14 0.00000000 2011 39

2 21 15 0.55187773 2011 39

2 21 16 0.00000000 2011 39

2 22 1 0.00000000 2011 39

2 22 2 0.00000000 2011 39

2 22 3 0.00000000 2011 39

2 22 4 0.00000000 2011 39

2 22 5 0.00000000 2011 39

2 22 6 0.00000000 2011 39

2 22 7 0.00000000 2011 39

2 22 8 0.00000000 2011 39

2 22 9 0.00000000 2011 39

2 22 10 0.11922233 2011 39

2 22 11 0.12547629 2011 39

2 22 12 0.19752816 2011 39

2 22 13 0.00589550 2011 39

2 22 14 0.00000000 2011 39

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



### 2 22 15 0.55187773 2011 39

2 22 16 0.00000000 2011 39

2 23 1 0.00000000 2011 39

2 23 2 0.00000000 2011 39

2 23 3 0.00000000 2011 39

2 23 4 0.00000000 2011 39

2 23 5 0.00000000 2011 39

2 23 6 0.00000000 2011 39

2 23 7 0.00000000 2011 39

2 23 8 0.00000000 2011 39

2 23 9 0.00000000 2011 39

2 23 10 0.11922233 2011 39

2 23 11 0.12547629 2011 39

2 23 12 0.19752816 2011 39

2 23 13 0.00589550 2011 39

2 23 14 0.00000000 2011 39

2 23 15 0.55187773 2011 39

2 23 16 0.00000000 2011 39

2 24 1 0.00000000 2011 39

2 24 2 0.00000000 2011 39

2 24 3 0.00000000 2011 39

2 24 4 0.00000000 2011 39

2 24 5 0.00000000 2011 39

2 24 6 0.00000000 2011 39

2 24 7 0.00000000 2011 39

2 24 8 0.00000000 2011 39

2 24 9 0.00000000 2011 39

2 24 10 0.11922233 2011 39

2 24 11 0.12547629 2011 39

2 24 12 0.19752816 2011 39

2 24 13 0.00589550 2011 39

2 24 14 0.00000000 2011 39

2 24 15 0.55187773 2011 39

2 24 16 0.00000000 2011 39

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



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

The ‘StateVMT_MakeTableQuery’ query creates a VMT T able by state, source type, hour, road type and average speed utilizing the VMT distributi on factors described in 4.4, 4.5, 4.6 and 4.7. The SQL commands for this query are shown in Table 4.8.

Table 4.8 :State VMT Table Query

SELECT VMT_byBudgetArea.yearID, VMT_byBudgetArea.st ateID, VMT_byBudgetArea.budgetID, roadtypedistribution1.so urceTypeID, hourvmtfraction.hourID, roadtypedistribution1.roadT ypeID, avgSpeedDistribution.avgSpeedBinID, sourecetypepopulation.sourceTypeVMTFraction, hourvm tfraction.hourVMTFraction, roadtypedistribution1.roadTypeVMTFraction, avgSpeedDistribution.avgSpeedFraction, First(VMT_by BudgetArea.[Annual VMT]) AS [FirstOfAnnual VMT], First(VMT_byBudgetArea.[Dai ly VMT]) AS [FirstOfDaily VMT], [FirstOfDaily VMT]*[hourVMTFraction]*[sourceTypeVMTFraction]*[roa dTypeVMTFraction]*[avgSpee dFraction] AS DailyVMT, [FirstOfAnnual VMT]*[sourceTypeVMTFraction]*[hourVMTFraction]*[roa dTypeVMTFraction]*[avgSpee dFraction] AS AnnualizedVMT INTO StateVMT_Table FROM VMT_byBudgetArea INNER JOIN (((avgSpeedDistrib ution INNER JOIN hourvmtfraction ON (avgSpeedDistribution.hourDayID = hourvmtfraction.hourID) AND (avgSpeedDistribution.roadTypeID = hourvmtfract ion.roadTypeID) AND (avgSpeedDistribution.sourceTypeID = hourvmtfractio n.sourceTypeID)) INNER JOIN roadtypedistribution1 ON (avgSpeedDistribution .stateID = roadtypedistribution1.stateID) AND (avgSpeedDistrib ution.roadTypeID = roadtypedistribution1.roadTypeID) AND (avgSpeedDist ribution.sourceTypeID = roadtypedistribution1.sourceTypeID)) INNER JOIN sou recetypepopulation ON (avgSpeedDistribution.sourceTypeID = sourecetypepop ulation.sourceTypeID) AND (avgSpeedDistribution.stateID = sourecetypepopulati on.stateID)) ON (VMT_byBudgetArea.yearID = avgSpeedDistribution.Yea rID) AND (VMT_byBudgetArea.stateID = avgSpeedDistribution.st ateID) GROUP BY VMT_byBudgetArea.yearID, VMT_byBudgetArea. stateID, VMT_byBudgetArea.budgetID, roadtypedistribution1.so urceTypeID, hourvmtfraction.hourID, roadtypedistribution1.roadT ypeID, avgSpeedDistribution.avgSpeedBinID, sourecetypepopulation.sourceTypeVMTFraction, hourvm tfraction.hourVMTFraction, roadtypedistribution1.roadTypeVMTFraction, avgSpeedDistribution.avgSpeedFraction HAVING (((avgSpeedDistribution.avgSpeedFraction)>0) ) ORDER BY VMT_byBudgetArea.yearID, VMT_byBudgetArea. stateID, hourvmtfraction.hourID;



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

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

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



### Table 5.1 :Emissions distance Query

SELECT StateVMT_Table.stateID, StateVMT_Table.budge tID, StateVMT_Table.yearID, rateperdistance_state.monthI D, StateVMT_Table.hourID, StateVMT_Table.sourceTypeID, StateVMT_Table.roadTyp eID, StateVMT_Table.avgSpeedBinID, rateperdistance_state .pollutantID, StateVMT_Table.DailyVMT, StateVMT_Table.AnnualizedV MT, rateperdistance_state.SumOfratePerDistance, [DailyV MT]*[SumOfratePerDistance] AS EmissionsDist, [AnnualizedVMT]*[SumOfratePerDist ance] AS AnnualEmissionsDist FROM StateVMT_Table INNER JOIN rateperdistance_stat e ON (StateVMT_Table.stateID = rateperdistance_state.Sta teID) AND (StateVMT_Table.yearID = rateperdistance_state.year ID) AND (StateVMT_Table.sourceTypeID = rateperdistance_stat e.sourceTypeID) AND (StateVMT_Table.hourID = rateperdistance_state.hour ID) AND (StateVMT_Table.roadTypeID = rateperdistance_state. roadTypeID) AND (StateVMT_Table.avgSpeedBinID = rateperdistance_sta te.avgSpeedBinID) GROUP BY StateVMT_Table.stateID, StateVMT_Table.bud getID, StateVMT_Table.yearID, rateperdistance_state.monthI D, StateVMT_Table.hourID, StateVMT_Table.sourceTypeID, StateVMT_Table.roadTyp eID, StateVMT_Table.avgSpeedBinID, rateperdistance_state .pollutantID, StateVMT_Table.DailyVMT, StateVMT_Table.AnnualizedV MT, rateperdistance_state.SumOfratePerDistance;



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



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

Table 5.2: Emissions Vehicle Query

SELECT VMT_byBudgetArea.budgetID, VMT_byBudgetArea. stateID, ratepervehicle_state.yearID, ratepervehicle_state.m onthID, ratepervehicle_state.hourID, ratepervehicle_state.s ourceTypeID, sourecetypepopulation.sourceTypeFraction, VMT_byBudgetArea.SourceTypePopulation, ratepervehic le_state.pollutantID, ratepervehicle_state.SumOfratePerVehicle, ((Nz([VMT_byBudgetArea]!sourceTypePopulation*[sourc eTypeFraction],0)/24)) AS STPop, Nz([VMT_byBudgetArea]!sourceTypePopulation*[ sourceTypeFraction],0) AS STPop2, Nz([VMT_byBudgetArea]!sourceTypePopulation*[sourceT ypeFraction]*[SumOfratePer Vehicle],0) AS emissionsVehicle, Nz(([VMT_byBudgetArea]!sourceTypePopulation*[source TypeFraction]*[SumOfratePe rVehicle])*365,0) AS AnnualemissionsVehicle FROM (sourecetypepopulation INNER JOIN ratepervehic le_state ON (sourecetypepopulation.sourceTypeID = ratepervehicl e_state.sourceTypeID) AND (sourecetypepopulation.stateID = ratepervehicle_sta te.StateID)) INNER JOIN VMT_byBudgetArea ON (ratepervehicle_state.StateID = VMT_byBudgetArea.stateID) AND (ratepervehicle_state.yearID = VMT_byBudgetArea .yearID) GROUP BY VMT_byBudgetArea.budgetID, VMT_byBudgetAre a.stateID, ratepervehicle_state.yearID, ratepervehicle_state.m onthID, ratepervehicle_state.hourID, ratepervehicle_state.s ourceTypeID, sourecetypepopulation.sourceTypeFraction, VMT_byBudgetArea.SourceTypePopulation, ratepervehic le_state.pollutantID, ratepervehicle_state.SumOfratePerVehicle;

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



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

Table 5.3: Ramp Emissions Query

SELECT VMT_byBudgetArea.stateID, VMT_byBudgetArea.y earID, hourvmtfraction.hourID, hourvmtfraction.sourceTypeI D, hourvmtfraction.hourVMTFraction, ramp_rate.pollutan tID, VMT_byBudgetArea.[Ramp VMT], ([Ramp VMT]*[hourVMTFr action])/13 AS HourlyRampVMT, ramp_rate.ramprate, [HourlyRampVMT]* [ramprate] AS RampEmissions, ([HourlyRampVMT]*[ramprate])*340 AS RampEmissionsAnnual FROM (hourvmtfraction INNER JOIN ramp_rate ON hourv mtfraction.hourID = ramp_rate.hourID) INNER JOIN VMT_byBudgetArea ON (r amp_rate.yearID = VMT_byBudgetArea.yearID) AND (ramp_rate.StateID = V MT_byBudgetArea.stateID) WHERE (((hourvmtfraction.roadTypeID)=4)) ORDER BY VMT_byBudgetArea.stateID, VMT_byBudgetArea .yearID, hourvmtfraction.hourID, hourvmtfraction.sourceTypeI D, ramp_rate.pollutantID;



## 5.4 Summarizing Results
Distance-based emissions by source type, vehicle-ba sed emissions by source type, and ramp emissions by source type are summed by state, year and pollut ant. This query is shown below. This is also wher e criteria may be set for limiting the results. A su m of VMT and source type population is also useful as a verification that all steps were run properly. The appropriate monthID criteria should be set here. The annual average temperature profile is contained in April (monthID=4).

Table 5.41:Results by State Query

SELECT EmissionsDistance_bySourceType_State.stateID

, EmissionsDistance_bySourceType_State.budgetID, Emis sionsDistance_bySourceType_State.yearID, EmissionsDistance_bySourceType_State.pollutantName, Sum(EmissionsDistance_bySourceType_State.SumOfDaily VMT) AS SumOfSumOfDailyVMT, Sum(RampEmissions_Query_State.HourlyRampVMT) AS Sum OfHourlyRampVMT1, Sum(EmissionsDistance_bySourceType_State.SumOfAnnua lizedVMT) AS SumOfSumOfAnnualizedVMT, First(EmissionsVehicle_Query_State.SourceTypePopula tion) AS FirstOfSourceTypePopulation, Sum(EmissionsVehicle_Query_State.SourceTypePopulati on) AS SumOfSourceTypePopulation, Sum(EmissionsDistance_bySourceType_State.SumOfEmiss ionsDist) AS SumOfSumOfEmissionsDist, Sum(EmissionsDistance_bySourceType_State.SumOfAnnua lEmissionsDist) AS SumOfSumOfAnnualEmissionsDist, Sum(Nz([emissionsVeh icle],0)) AS EmissionsVeh, Sum(Nz([AnnualemissionsVehicle],0)) AS AnnualEmissi onsVeh, Sum(RampEmissions_Query_State.RampEmissions) AS Sum OfRampEmissions, Sum(RampEmissions_Query_State.RampEmissionsAnnual) AS SumOfRampEmissionsAnnual, (([SumOfSumOfEmissionsDist]+[EmissionsVeh]+[SumOfRa mpEmissions])/1000)*0.001102 AS DailyEmissionsTONS, (([SumOfSumOfAnnualEmissionsDist]+[AnnualEmissionsV eh]+[SumOfRampEmissionsAnnual])/1000)*0.0
01102 AS AnnualEmissionsTONS FROM (EmissionsDistance_bySourceType_State LEFT JOI N EmissionsVehicle_Query_State ON

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



### (EmissionsDistance_bySourceType_State.yearID = Emis sionsVehicle_Query_State.yearID) AND (EmissionsDistance_bySourceType_State.stateID = Emi ssionsVehicle_Query_State.stateID) AND (EmissionsDistance_bySourceType_State.monthID = Emi ssionsVehicle_Query_State.monthID) AND (EmissionsDistance_bySourceType_State.hourID = Emis sionsVehicle_Query_State.hourID) AND (EmissionsDistance_bySourceType_State.sourceTypeID = EmissionsVehicle_Query_State.sourceTypeID) AND (EmissionsDistance_bySourceType_State.pollutant ID = EmissionsVehicle_Query_State.pollutantID)) INNER JOIN RampEmissions_Query_State ON (EmissionsD istance_bySourceType_State.stateID = RampEmissions_Query_State.stateID) AND (EmissionsDi stance_bySourceType_State.yearID = RampEmissions_Query_State.yearID) AND (EmissionsDis tance_bySourceType_State.sourceTypeID = RampEmissions_Query_State.sourceTypeID) AND (Emissi onsDistance_bySourceType_State.pollutantID = RampEmissions_Query_State.pollutantID) AND (Emissio nsDistance_bySourceType_State.hourID = RampEmissions_Query_State.hourID) GROUP BY EmissionsDistance_bySourceType_State.state ID, EmissionsDistance_bySourceType_State.budgetID, Emis sionsDistance_bySourceType_State.yearID, EmissionsDistance_bySourceType_State.pollutantName, EmissionsDistance_bySourceType_State.monthID, Emiss ionsDistance_bySourceType_State.pollutantID HAVING (((EmissionsDistance_bySourceType_State.mont hID)=4));

County-level emissions are also calculated based on county VMT, as reported by the OKI Travel Demand Model. Table 5.42 shows the query for calculating the county level results.

Table 5.42:Results by County Query

SELECT VMT.State, VMT.County, EmissionsDistance_byS ourceType_State.stateID, EmissionsDistance_bySourceType_State.budgetID, Emis sionsDistance_bySourceType_State.yearID, EmissionsDistance_bySourceType_State.pollutantName, VMT.SourceTypePopulation, VMT.[Daily VMT], VMT.[Annual VMT], VMT.[All Daily VMT], [Daily VMT]/ [SumOfSumOfDailyVMT] AS CountyFraction, Sum(EmissionsDistance_bySourceType_State.SumOfDaily VMT) AS SumOfSumOfDailyVMT, Sum(RampEmissions_Query_State.HourlyRampVMT) AS Sum OfHourlyRampVMT1, Sum(EmissionsDistance_bySourceType_State.SumOfAnnua lizedVMT) AS SumOfSumOfAnnualizedVMT, First(EmissionsVehicle_Query_State.SourceTypePopula tion) AS FirstOfSourceTypePopulation, Sum(EmissionsVehicle_Query_State.SourceTypePopulati on) AS SumOfSourceTypePopulation, Sum(EmissionsDistance_bySourceType_State.SumOfEmiss ionsDist) AS SumOfSumOfEmissionsDist, Sum(EmissionsDistance_bySourceType_State.SumOfAnnua lEmissionsDist) AS SumOfSumOfAnnualEmissionsDist, Sum(Nz([emissionsVeh icle],0)) AS EmissionsVeh, Sum(Nz([AnnualemissionsVehicle],0)) AS AnnualEmissi onsVeh, Sum(RampEmissions_Query_State.RampEmissions) AS Sum OfRampEmissions, Sum(RampEmissions_Query_State.RampEmissionsAnnual) AS SumOfRampEmissionsAnnual, (([SumOfSumOfEmissionsDist]+[EmissionsVeh]+[SumOfRa mpEmissions])/1000)*0.001102 AS DailyEmissionsTONS, (([SumOfSumOfAnnualEmissionsDist]+[AnnualEmissionsV eh]+[SumOfRampEmissionsAnnual])/1000)*0.0 01102 AS AnnualEmissionsTONS, [DailyEmissionsTONS]* [CountyFraction] AS CountyDailyEmissions, [AnnualEmissionsTONS]*[CountyFraction] AS CountyAnn ualEmissions FROM VMT INNER JOIN ((EmissionsDistance_bySourceTyp e_State LEFT JOIN EmissionsVehicle_Query_State ON (EmissionsDistance_ bySourceType_State.pollutantID = EmissionsVehicle_Query_State.pollutantID) AND (Emis sionsDistance_bySourceType_State.sourceTypeID = EmissionsVehicle_Query_State.sourceTypeID) AND (E missionsDistance_bySourceType_State.hourID =

# 55 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions



### EmissionsVehicle_Query_State.hourID) AND (Emissions Distance_bySourceType_State.monthID = EmissionsVehicle_Query_State.monthID) AND (Emission sDistance_bySourceType_State.stateID = EmissionsVehicle_Query_State.stateID) AND (Emission sDistance_bySourceType_State.yearID = EmissionsVehicle_Query_State.yearID)) INNER JOIN Ra mpEmissions_Query_State ON (EmissionsDistance_bySourceType_State.hourID = Ramp Emissions_Query_State.hourID) AND (EmissionsDistance_bySourceType_State.pollutantID = RampEmissions_Query_State.pollutantID) AND (EmissionsDistance_bySourceType_State.sourceTypeID = RampEmissions_Query_State.sourceTypeID) AND (EmissionsDistance_bySourceType_State.yearID = RampEmissions_Query_State.yearID) AND (EmissionsDistance_bySourceType_State.stateID = Ram pEmissions_Query_State.stateID)) ON (VMT.yearID = EmissionsDistance_bySourceType_State. yearID) AND (VMT.stateID = EmissionsDistance_bySourceType_State.stateID) GROUP BY VMT.State, VMT.County, EmissionsDistance_b ySourceType_State.stateID, EmissionsDistance_bySourceType_State.budgetID, Emis sionsDistance_bySourceType_State.yearID, EmissionsDistance_bySourceType_State.pollutantName, VMT.SourceTypePopulation, VMT.[Daily VMT], VMT.[Annual VMT], VMT.[All Daily VMT], EmissionsDis tance_bySourceType_State.monthID, EmissionsDistance_bySourceType_State.pollutantID HAVING (((EmissionsDistance_bySourceType_State.mont hID)=4));

# APPENDIX D

LADCO Technical Support Document

# Regional Air Quality Analyses for Ozone, 

# PM2.5, and Regional Haze: Final Technical Support Document

April 25, 2008 States of Illinois, Indiana, Michigan, Ohio, and Wisconsin

The document can be found at: .b.llP://www.ladco.org@ports/technical sugport document/ tsd/tsd version iv april 25 2008 final.gQf1



### Regional Air Quality Analyses for Ozone, PM2.5, and Regional Haze: Final Technical Support Document ( Supplement ), September 12, 2008

The purpose of this paper is to summarize a new modeling analysis performed by the Lake Michigan Air Dir ectors Consorti um (LADCO) to address the effect of the recent court decision
vacat ing EPA’s Clean Air Interstate Rule (CAIR). This new modeling is intended to supplem ent the LADCO Technical Support Document (“ Regional Air Quality Analyses for Ozone, PM2.5, and Regional Haze: Final Technical Support Document”, April 25, 2008) , which summarizes the air quality analyses conducted by LADCO and its contractors to support the development of State Implementation Plans for ozone, PM2.5, and regional haze in the States of Illinoi s, Indiana, Michigan, Ohio, and Wisconsin

.
Compared to the previous LADCO modeling (Round 5.1), the new modeling shows similar results for ozone, but much more nonattainment for PM2.5 and higher visibility levels for regional haze. Specifically, the new modeling shows:

Ozone : Attainment of the 0.08 ppm standard by 2009 everywhere in the region, except Holland, MI , and n onattainment of the 0.075 ppm standard through at least 2018.

PM2.5 : Widespread nonattainment of annual (15 ug/m 3 

### ) and daily (35 ug/m 3 

### ) standards.

Haze : Higher visibility levels on the 20% worst visibility days in 2018 in Class I areas in the eastern U.S., resulting in most areas being above the glide path.

Background : On July 11, 2008, the U.S. Court of Appeals for D.C. Circuit v acated EPA’s CAIR rule (cite). The reductions in NOx and SO2 emissions associated with this rule were a key part of the LADCO States’ attainment demonstrations for ozone and PM2.5 and the reasonable progress determinations for regional haze . LADCO’s prev ious modeling (Round 5.1) relied on EGU emission projections from EPA’s IPM3.0 analysis, which assumed implementation of Phases I and II of CAIR. For this new modeling, alternative EGU emission projections were developed , which did not rely on CAIR (or IP M).

Model Set

- Up : The new modeling was performed consistent with LADCO’s previous modeling (Round 5.1):

Model Version: CAMx v4.50beta_deposition Future Years: 2009, 2012, 2018 Runs: (a) Ozone : Summer 2005 meteorology with 12 km grids (b) PM2.5 an d haze : F ull year 2005 meteorology with 36 km grids



### Emission Scenarios: The new modeling assumed the same set of “on the books” controls as in LADCO’s previous modeling (Round 5.1) for all sectors, except EGUs. In light of the CAIR decision, three new E GU scenarios were prepared:2

Scenario A: 2007 CEM

- based emissions w ere projected for all states in the modeling domain based on EIA growth rates by state (NERC region) and fuel type. The assumed growth rates for the Midwest States were: MAIN (IL, IA, MO, WI): 8.8% (2007

- 2018); ECAR (IN, KY, MI, OH): 13.5% (2007

- 2018); and MAPP (MN): 15.1% (2007

- 2018). No control w as applied. The annual emissions w ere temporalized based on profiles derived from 2004

- 2006 CEM data. (Note, these are the same temporal prof iles used in R ound 5.1 .)

Scenario B. Scenario A emissions for the LADCO States and select neighboring states (e.g., MN, IA, MO, KY, TN, and WV) w ere adjusted by applying legally enforceable controls (i.e., emission reductions required by a Consent Decree , state rule, or permit). Only those legally enforceable controls identified (and justified) by the States w ere applied. The States also supplied the appropriate control factors. A table summarizing the Scenario B con trols is provided in Appendix I.

Sc enario C. For the years 2009 and 2012, Scenario A emissions for all states w ere adjusted by applying all planned SO2 and NOx controls based on the July 10 CAMD list (i.e., 9 0 % reduction for scrubbers, 9 5 % reduction for SCRs). Because the July 10 CAMD list only includes controls generally out to 2011, additional SO2 and NOx controls for the year 2018 w ere assumed for all BART

- eligible EGUs in the five LADCO State plus MN, IA, MO, KY, TN, and MO list (i.e., 9 0 % reduction for scrubbers, 9 5 % reduction for SCRs )

. 1 A ll Scenario B controls we re included in Scenario C. A table summarizing the Scenario C controls is provided in Appendix II.



### Table 1 and Figure 1 provide a summary of the 5

- state regional NOx and SO2 emissions for each scenario and future year. (No te, the CAIR emissions included here are based on EPA’s IPM3.0 modeling.) Several comments on the emissions should be noted:

Summer NOx

• There is ll ittle difference between the three alternative scenarios and CAIR . T his suggests that summer ozone concen trations for the alternative scenarios are likely to be similar to those predicted with CAIR (i.e., Round 5.1). Annual NOx:

• There is a s ignificant change in emissions between scenarios , mostly during the

non

- summer months.

• Scenario B reflects application of NOx controls in several states (e.g., IL,OH, WI).

• Because there are relatively few SCRs (in the LADCO States) on the CAMD list, Scenario C results in only a small emissions decrease compared to Scenario B

.

• Assumed BART controls result in a significant em issions decrease. Annual SO2

• There is a s ignificant change in emissions between scenarios

.

• Scenario B reflects application of SO2 controls in several states (e.g., I L,OH, WI).

• Because there are several FGD s (in the LADCO States) on the CAMD list, Scenario C results in a large emissions decrease compared to Scenario B

.

• Assumed BART controls result in a significant emissions decrease (i.e., even lower emissions than t he IPM

- estimated CAIR emissions).

1 A subsequent analysis was conducted with the following inventory changes: (a) 95% reduction for scrubbers, 90% redcuction for SCRs (consistent with EPA’s default assumptions for IPM), and (b) revisions provided for a few plants in Indiana and Minnesota. The changes resulted in a relatively small difference in the regioinal NOx and SO2 emissions (e.g., about a 2% NOx increase and about a 1

- 2% decrease in SO2). To assess the impact of the chan ges, PM2.5 modleing was conducted with the new Scenario B and Scenario C emissions for 2012. The modeling showed little change in the predicted PM2.5 concentrations.3 

### Figure 1. Regional NOx and SO2 Emissions

Summe r NO x Emi ss ions

0 500 1,000 1,500 2,000 2,500 3,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C 201 2 C AIR 201 8A 201 8B 201 8C 201 8BART 201 8 C AIR

Annu al NO x Emi ss ions

0 200,000 400,000 600,000 800,000 1,000,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C 201 2 C AIR 201 8A 201 8B 201 8C 201 8BART 201 8 C AIR

Annu al SO2 Emi ss ions

0 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C 201 2 C AIR 201 8A 201 8B 201 8C
201 8BART 201 8 C AIR4 

### Table 1. Regional NOx and SO2 Emissions



## Summer NOx Emissions (TPD)

2005 2007 2009 A 2009 B 2009 C 2010 CAIR 2012 A 2012 B 2012 C 2012 CAIR 2018 A 2018 B 2018 C 2018 C

BART 2018

CAIR

IL 305 305 311 311 311 275 340 236 236 266 333 227 227 219 224

I N 393 393 376 376 374 384 393 393 390 368 410 386 383 292 264

MI 393 393 350 350 350 242 366 366 366 229 377 377 377 260 243

OH 408 408 395 355 335 285 423 351 351 290 431 366 366 230 290

WI 413 413 167 160 160 238 184 170 170 177 183 168 168 168 17 7

1,912 1,912 1,599 1,552 1,530 1,424 1,706 1,516 1,513 1,330 1,734 1,524 1,521 1,169 1,198



## Annual NOx Emissions (TPY)

2005 2007 2009 A 2009 B 2009 C 2010 CAIR 2012 A 2012 B 2012 C 2012 CAIR 2018 A 2018 B 2018 C 2018 C

BART 2018

CAIR

IL 126,786 121,006 124,917 124,917 124,917 83,224 137,438 81,989 81,989 82,248 135,983 79,771 79,771 63,590 69,958

IN 214,727 203,493 203,776 203,776 201,947 133,188 212,790 212,790 210,877 125,541 221,950 212,805 210,81 0 177,027 90,415

MI 120,332 112,484 112,478 112,478 112,478 83,117 117,621 117,621 117,621 77,897 122,447 122,447 122,447 89,444 79,543

OH 255,554 240,351 240,016 173,071 164,911 94,346 251,065 172,514 172,514 97,679 261,644 179,737 179,737 125,762 95, 678

WI 71,414 54,582 56,540 54,065 54,065 53,032 62,266 57,759 57,759 56,480 61,812 56,952 56,952 56,952 56,158
788,812 731,917 737,727 668,307 658,317 446,908 781,179 642,673 640,760 439,845 803,837 651,712 649,717 512,774 391,752



## Annual SO2 Emissions (TPY)

2005 2007 2009 A 2009 B 2009 C 2010 CAIR 2012 A 2012 B 2012 C 2012 CAIR 2018 A 2018 B 2018 C 2018 C

BART 2018

CAIR

IL 326,598 273,467 281,028 281,028 281,028 295,516 309,209 196,238 194,746 267,1 10 305,364 106,638 105,152 82,351 275,716

IN 866,964 722,301 721,252 721,252 619,486 374,335 754,323 754,323 558,567 379,144 786,551 764,065 559,945 426,695 359,915

MI 350,694 343,487 343,140 343,140 315,326 227,296 358,879 358,879 301,062 233,204 373, 964 373,964 313,677 178,680 242,853

OH 1,100,510 960,820 959,466 959,466 693,438 427,145 1,003,633 897,099 572,807 370,532 1,045,945 819,770 481,623 333,740 315,560

WI 181,426 137,562 142,007 142,007 133,738 139,181 156,659 144,818 133,592 139,203 155, 818 144,027 132,849 77,214 127,073
2,826,192 2,437,638 2,446,892 2,446,892 2,043,017 1,463,473 2,582,703 2,351,356 1,760,775 1,389,192 2,667,641 2,208,463 1,593,245 1,098,679 1,321,1165



### Modeling Results: Several tables summarizing the modeling result s are provided:

Table 2

- future year ozone and PM2.5 concentrations for key monitors in the LADCO region

Table 3

- number of monitoring sites greater than the National Ambient Air Quality Standards (NNAQS)

Table 4

–

visibility levels fo r Class I areas in the eastern U.S.

Note, given that Scenario B and BART controls were only applied in an 11

- state Midwest region, the validity of the results for other Class I areas in the eastern U.S. may be questionable. The Scenario C controls, on the other hand, cover all states and are, thus, likely valid in other Class I areas.

Spatial plots of the future year ozone and PM2.5 concentrations are provided in Figures 2

– 4.

Based on these results, the following key findings should be noted:

Ozone

• There is little change from the previous LADCO modeling (Round 5.1 with CAIR)

• The modeling shows a ttainment of the 0.08 ppm (85 ppb) standard by 2009, except Holland. (Note, Holland does meet this standard by 2012.)

• The modeling shows nonattainm ent of the 0.075 ppm (75 ppb) standard through 2018.

PM2.5

- Annual

• There is a significant change from the previous LADCO modeling (Round 5.1 with CAIR)

• The modeling shows extensive non atta inment of the annual standard.

PM2.5

- Daily

• There is a signif icant change from the previous LADCO modeling (Round 5.1 with CAIR)

• Th e modeling shows extensive nonattainment of the daily standard.

Haze

• There is a significant change from the previous LADCO modeling (Round 5.1 with CAIR)

• T he modeling shows higher vis ibility levels in 2018 for the 20% worst visibility days (average about 0.5 deciviews for the northern Class I areas ). The resulting visibility levels in the northern Class I areas (except Voyageurs) a re above t he glide path.2005 Round 5 with CAIR Round 5 with CAIR Round 5 with CAIR
Site Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen.C-BART Lake Michigan Area
Chiwaukee 550590019 84.7 82.2 82.2 82.0 82.3 81.1 80.8 80.6 80.9 77.2 77.2 77.0 76.0 76.2
Racine 551010017 80.3 77.8 77.8 77.5 77.5 76.6 76.2 76.1 76.1 72.9 72.3 72.1 71.1 71.2 Milwaukee-Bayside 550890085 82.7 79.9 79.9 79.7 79.8 78.5 78.0 78.0 78.0 74.3 73.6 73.4 72.4 72.7 Harrington Beach 550890009 83.3 80.1 80.1 79.9 80.1 78.6 78.1 78.0 78.3 73.9 73.2 73.1 72.2 72.5
Manitowoc 550710007 85.0 80.8 80.8 80.7 80.8 79.0 78.5 78.4 78.6 73.9 73.2 73.1 72.0 72.5 Sheboygan 551170006 88.0 84.1 84.0 83.9 84.0 82.2 81.7 81.5 81.8 76.9 76.0 75.9 74.8 75.4
Kewaunee 550610002 82.7 78.2 78.2 78.0 78.1 76.4 75.9 75.7 75.9 71.3 70.7 70.5 69.4 69.9 Door County 550290004 88.7 84.1 84.1 83.9 83.9 82.0 81.4 81.3 81.5 76.5 75.6 75.5 74.2 74.7
Hammond 180892008 77.7 76.2 76.2 76.0 75.4 75.6 75.3 75.2 74.6 73.2 72.7 72.6 71.7 71.6 Whiting 180890030 79.3 77.8 77.8 77.7 77.0 77.2 76.9 76.8 76.2 74.8 74.3 74.2 73.2 73.1 Michigan City 180910005 77.0 74.5 74.5 74.3 73.9 73.3 72.9 72.8 72.5 69.7 69.2 69.1 68.1 68.1 Ogden Dunes 181270020 78.3 76.3 76.3 76.2 75.6 75.5 75.1 75.0 74.5 72.9 72.3 72.1 71.2 70.8
Holland 260050003 90.0 85.7 85.7 85.5 85.3 83.5 83.1 82.9 82.8 78.2 77.5 77.3 76.0 76.1
Jenison 261390005 82.0 76.8 76.8 76.7 76.0 75.1 74.6 74.5 74.5 70.2 69.6 69.5 67.9 68.7 Muskegon 261210039 85.0 80.6 80.6 80.5 80.5 78.6 78.2 78.1 78.0 73.5 72.8 72.8 71.5 71.9

Indianapolis Area
Noblesville 189571001 82.7 78.3 78.3 78.1 78.1 76.1 75.9 75.7 75.6 70.2 69.9 69.8 68.9 68.7
Fortville 180590003 78.0 74.1 74.1 73.9 73.9 71.9 71.8 71.7 71.4 66.7 66.5 66.3 65.4 65.1
Fort B. Harrison 180970050 78.7 75.4 75.3 75.2 75.1 73.8 73.6 73.6 73.2 70.6 70.3 70.2 69.3 69.1

Detroit Area
New Haven 260990009 86.0 82.4 82.3 82.1 81.4 81.4 81.2 81.1 80.2 78.1 77.8 77.7 76.5 76.1
Warren 260991003 84.0 82.4 82.3 82.2 81.3 82.1 81.8 81.7 80.7 79.7 79.4 79.3 78.0 77.6
Port Huron 261470005 82.7 78.2 78.2 78.1 77.5 76.5 76.3 76.2 75.5 72.6 72.5 72.3 70.9 70.9

Cleveland Area
Ashtabula 390071001 89.0 84.2 84.1 83.9 83.4 82.0 81.8 81.6 81.0 76.8 76.5 76.4 74.8 75.1 Geauga 390550004 79.3 75.8 75.8 75.6 74.7 74.0 73.8 73.7 72.7 69.5 69.2 69.1 67.6 67.3
Eastlake 390850003 86.3 83.1 83.1 82.9 81.9 81.8 81.6 81.5 80.5 78.2 78.0 77.8 76.5 76.2
Akron 391530020 83.7 79.1 79.1 79.0 78.1 76.9 76.7 76.6 75.6 70.9 70.6 70.4 68.7 68.7

Cincinnati Area Wilmington 390271002 82.3 77.3 77.4 77.1 77.5 75.3 75.2 74.8 74.9 70.1 69.9 69.5 67.1 68.3 Sycamore 390610006 84.7 81.5 81.4 81.1 81.9 80.4 80.2 79.8 80.3 76.4 76.0 75.7 73.5 74.6
Lebanon 391650007 87.7 82.8 82.8 82.4 83.0 80.8 80.7 80.3 80.7 75.4 75.1 74.8 72.6 74.2

Columbus Area
London 390970007 79.7 75.0 75.0 74.8 75.0 73.0 72.8 72.7 72.6 68.1 67.8 67.6 65.9 66.3 New Albany 390490029 86.3 82.1 82.1 81.9 81.8 80.2 80.0 79.9 79.6 74.7 74.3 74.2 73.3 73.0
Franklin 290490028 80.3 76.7 76.6 76.5 75.9 75.1 74.9 74.8 74.1 70.5 70.2 70.1 70.2 69.0

St. Louis Area W. Alton (MO) 291831002 86.3 81.1 81.2 81.1 81.0 80.0 79.9 79.9 78.6 76.9 76.8 76.7 74.2 74.9 Orchard (MO) 291831004 87.0 82.1 82.1 82.0 82.0 80.9 80.8 80.7 80.0 77.7 77.6 77.4 75.2 76.2 Sunset Hills (MO) 291890004 82.3 79.2 79.2 79.1 78.7 78.3 78.1 78.1 77.1 75.3 75.2 75.1 73.0 73.9 Arnold (MO) 290990012 82.3 77.8 77.8 77.7 77.2 76.7 76.6 76.5 75.6 73.6 73.4 73.4 71.3 72.0 Margaretta (MO) 295100086 83.0 79.8 79.8 79.7 79.3 78.8 78.7 78.6 77.9 75.7 75.6 75.5 73.7 74.4 Maryland Heights (MO) 291890014 87.3 85.4 85.4 85.3 84.0 84.3 84.1 84.0 81.7 81.1 80.9 80.8 78.4 78.1 Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR 

# Table 2a. Ozone Modeling Results

2009 2012 20182005 Round 5 with CAIR Round 5 with CAIR Round 5 with CAIR
Site Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen.C-BART
Illinois Chicago - Washington HS 170310022 15.2 14.9 14.8 14.5 14.1 14.8 14.7 14.2 14.0 15.0 14.6 14.2 13.7 13.9 Chicago - Mayfair 170310052 15.8 15.1 15.1 14.8 14.4 15.1 14.9 14.5 14.2 15.1 14.7 14.3 13.7 13.9 Chicago - Springfield 170310057 15.0 14.6 14.6 14.3 13.9 14.6 14.4 14.0 13.8 14.8 14.4 14.0 13.4 13.7 Chicago - Lawndale 170310076 14.9 14.5 14.5 14.2 13.8 14.5 14.3 13.9 13.7 14.7 14.3 13.9 13.3 13.6
Blue Island 170312001 14.8 14.4 14.4 14.0 13.7 14.4 14.2 13.8 13.6 14.5 14.1 13.7 13.2 13.4
Summit 170313301 15.2 14.9 14.9 14.6 14.2 14.9 14.7 14.3 14.0 15.0 14.6 14.3 13.7 13.9
Cicero 170316005 15.5 15.1 15.1 14.8 14.4 15.1 14.9 14.5 14.3 15.2 14.9 14.4 13.9 14.2 Granite City 171191007 16.7 16.3 16.2 15.9 15.1 16.1 16.0 15.3 14.9 15.9 15.6 14.9 14.2 14.3
E. St. Louis 171630010 15.6 15.2 15.2 14.8 14.1 15.0 14.9 14.3 13.9 14.9 14.6 14.0 13.3 13.4

Indiana
Jeffersonville 180190005 16.4 15.8 15.7 14.8 13.8 15.8 15.6 14.5 13.7 16.0 15.5 14.3 13.7 13.4 Jasper 180372001 15.2 14.3 14.2 13.4 12.4 14.2 14.0 13.0 12.2 14.3 13.9 12.8 12.1 11.8 Gary 180890031 15.6 13.9 13.9 13.5 13.0 13.8 13.6 13.1 12.8 13.7 13.4 12.9 12.3 12.4 Indy-Washington Park 180970078 15.3 14.4 14.4 13.6 12.8 14.3 14.2 13.2 12.6 14.3 13.9 12.9 12.2 12.0 Indy-W 18th Street 180970081 16.0 15.1 15.1 14.3 15.0 14.9 13.9 15.0 14.6 13.5 12.8 Indy- Michigan Street 180970083 15.9 15.0 15.0 14.2 13.4 14.9 14.8 13.8 13.1 14.9 14.5 13.5 12.8 12.6

Michigan
Allen Park 261630001 14.5 11.0 14.0 13.5 13.0 14.0 13.8 13.2 12.8 13.9 13.6 13.0 12.4 12.4
Southwest HS 261630015 15.9 15.3 15.3 14.8 14.2 15.2 15.0 14.4 13.9 15.1 14.8 14.1 13.5 13.5
Linwood 261630016 14.6 14.1 14.1 13.6 13.1 14.0 13.9 13.3 12.8 13.9 13.6 13.0 12.5 12.5
Dearborn 261630033 17.5 17.0 17.0 16.4 15.8 16.9 16.7 16.0 15.5 16.8 16.4 15.7 15.1 15.1 Wyandotte 261630036 14.7 14.2 14.1 13.6 13.1 14.1 13.9 13.3 12.8 14.0 13.7 13.0 12.4 12.5

Ohio
Middletown - Bonita 390170003 16.2 15.3 15.2 14.3 13.5 15.2 15.0 13.9 13.2 15.2 14.8 13.7 13.0 12.8
Fairfield 390170016 15.8 15.1 15.0 14.1 13.1 15.1 14.9 13.7 12.9 15.2 14.7 13.5 12.8 12.5
Cleveland-28th Street 390350027 15.4 14.9 14.9 14.3 13.5 14.7 14.5 13.9 13.2 14.6 14.2 13.5 12.8 12.7
Cleveland-St. Tikhon 390350038 17.4 16.7 16.7 16.0 15.2 16.5 16.3 15.6 14.8 16.3 16.0 15.2 14.4 14.3 Cleveland-Broadway 390350045 16.5 15.9 15.8 15.2 14.4 15.6 15.5 14.8 14.0 15.5 15.1 14.4 13.6 13.5 Cleveland-GT Craig 390350060 17.1 16.5 16.4 15.8 15.0 16.3 16.1 15.4 14.6 16.1 15.7 15.0 14.2 14.1 Newburg Hts - Harvard Ave 390350065 16.0 15.4 15.3 14.7 14.0 15.2 15.0 14.3 13.6 15.1 14.7 14.0 13.2 13.1 Columbus - Fairgrounds 390490024 15.3 14.6 14.5 13.7 12.9 14.4 14.1 13.2 12.6 14.2 13.8 12.8 12.2 12.0
Columbus - Ann Street 390490025 15.1 14.4 14.3 13.5 12.7 14.2 13.9 13.1 12.4 14.1 13.6 12.6 12.0 11.9 Cincinnati - Seymour 390610014 17.3 16.6 16.5 15.5 14.5 16.5 16.3 15.1 14.3 16.6 16.2 14.9 14.2 13.8
Cincinnati - Taft Ave 390610040 15.5 14.8 14.7 13.8 12.8 14.8 14.6 13.4 12.6 14.9 14.5 13.2 12.5 12.2
Cincinnati - 8th Ave 390610042 16.9 12.0 16.1 15.0 14.0 16.1 15.9 14.7 13.8 16.2 15.7 14.4 13.7 13.4
Sharonville 390610043 15.6 14.9 14.8 13.9 12.9 14.9 14.7 13.5 12.7 14.9 14.5 13.3 12.6 12.3
Norwood 390617001 16.2 15.5 15.4 14.4 13.4 15.4 15.2 14.0 13.2 15.5 15.1 13.8 13.1 12.8
St. Bernard 390618001 17.6 16.8 16.7 15.7 14.7 16.7 16.5 15.3 14.4 16.8 16.4 15.1 14.3 14.0
Steubenville 390810016 15.8 14.5 14.4 13.5 12.8 14.3 14.2 13.1 12.5 14.8 14.5 13.3 12.9 12.7 Mingo Junction 390811001 16.5 15.2 15.2 14.3 13.5 15.0 14.9 13.8 13.2 15.6 15.2 14.0 13.6 13.4
Ironton 390870010 15.2 14.8 14.6 13.6 12.8 14.6 14.4 13.2 12.5 14.8 14.1 12.8 12.4 12.3 Dayton 391130032 15.5 14.9 14.8 14.0 13.2 14.8 14.6 13.6 12.9 14.8 14.3 13.3 12.6 12.4
New Boston 391450013 14.7 12.0 14.0 13.0 12.1 14.1 13.8 12.5 11.9 14.2 13.6 12.2 11.7 11.6
Canton - Dueber 391510017 16.3 15.7 15.6 14.8 14.0 15.5 15.3 14.4 13.6 15.4 14.9 14.0 13.3 13.3
Canton - Market 391510020 14.6 11.0 14.1 13.3 12.6 13.9 13.7 12.9 12.3 13.9 13.5 12.6 12.0 11.9
Akron - Brittain 391530017 15.1 14.6 14.5 13.8 13.0 14.4 14.2 13.4 12.7 14.3 13.8 13.0 12.3 12.3 Akron - W. Exchange 391530023 14.3 13.7 13.7 13.0 12.3 13.6 13.3 12.6 12.0 13.4 13.0 12.2 11.6 11.5 Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2018 2012 

# Table 2b. PM 2.5 

# Modeling Results (Annual)2005
Round 5 with CAIR Round 5 with CAIR Round 5 with CAIR Key Site County Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. C - BART
Illinois Chicago - Washington HS Cook 170310022 36.6 36 36 36 36 36 36 37 36 37 36 37 37 35 Chicago - Mayfair Cook 170310052 40.3 37 37 37 36 37 36 37 36 38 37 37 37 36 Chicago - Springfield Cook 170310057 37.4 34 34 33 32 35 34 33 32 36 34 33 33 31 Chicago - Lawndale Cook 170310076 38.1 35 35 35 35 36 35 36 35 36 35 36 36 34
McCook Cook 170311016 43.0 39 39 39 39 40 39 40 39 40 40 41 40 38
Blue Island Cook 170312001 37.7 35 35 35 34 36 35 36 34 36 35 36 36 33
Schiller Park Cook 170313103 41.6 40 40 40 39 40 40 40 39 41 40 40 39 39
Summit Cook 170313301 40.2 38 38 39 38 39 38 39 38 39 38 39 39 37 Maywood Cook 170316005 39.2 38 38 38 38 38 38 39 38 39 38 39 39 37 Granite City Madison 171191007 39.2 36 36 35 33 36 35 34 33 36 35 35 33 32
E. St. Louis St. Clair 171630010 33.7 31 31 30 28 31 30 29 28 31 30 30 29 28

Indiana
Jeffersonville Clark 180190005 38.4 35 33 31 29 35 34 32 31 37 35 34 33 31 Jasper Dubois 180372001 36.2 32 32 30 28 32 32 30 29 33 31 31 30 28 Gary - IITRI Lake 180890022 39.0 35 35 35 34 35 34 35 34 36 36 36 35 35 Gary - Burr School Lake 180890026 39.0 34 34 34 33 34 34 35 34 34 34 34 34 32 Gary Lake 180890031 35.2 29 28 26 24 28 28 24 24 29 28 27 27 27 Indy-West Street Marion 180970043 38.0 34 34 33 33 35 35 34 33 36 35 34 34 33 Indy-English Avenue Marion 180970066 38.0 34 34 32 32 35 34 33 32 35 34 33 33 32 Indy-Washington Park Marion 180970078 36.6 33 33 32 31 33 33 32 31 34 33 32 32 32 Indy-W 18th Street Marion 180970081 38.3 33 33 31 31 33 33 32 31 34 33 32 32 31 Indy- Michigan Street Marion 180970083 36.0 32 32 29 28 32 31 29 28 32 31 29 29 29

Michigan
Luna Pier Monroe 261150005 38.9 34 34 32 32 34 34 32 32 34 33 32 31 31
Oak Park Oakland 261250001 39.9 38 38 37 36 38 37 37 36 38 37 37 36 35
Port Huron St. Clair 261470005 39.6 36 35 35 34 35 35 35 34 35 35 34 33 33 Ypsilanti Washtenaw 261610008 39.5 37 37 36 35 37 36 36 35 37 36 36 35 34
Allen Park Wayne 261630001 38.6 36 36 36 35 36 35 35 34 36 35 35 34 33
Southwest HS Wayne 261630015 40.1 36 36 36 35 36 35 35 35 36 35 35 34 33
Linwood Wayne 261630016 43.0 40 40 40 39 40 40 40 39 40 39 39 39 38
E 7 Mile Wayne 261630019 41.0 39 39 39 38 39 39 39 38 39 38 38 38 37
Dearborn Wayne 261630033 43.9 41 41 41 40 41 41 41 40 41 40 40 40 39 Wyandotte Wayne 261630036 37.2 36 36 36 35 35 35 35 35 35 35 35 35 34 Newberry Wayne 261630038 42.7 39 39 39 38 39 38 38 37 39 38 38 37 36
FIA Wayne 261630039 39.7 35 34 34 33 35 34 34 33 35 34 33 33 31

Ohio
Middleton Butler 390170003 39.3 33 32 29 28 33 33 29 28 34 32 29 28 27
Fairfield Butler 390170016 37.1 32 31 29 27 31 30 28 28 32 30 29 28 27
Butler 390170017 40.8 33 32 30 29 33 33 30 29 33 32 30 29 28
Cleveland-28th Street Cuyahoga 390350027 36.9 34 34 33 32 34 33 33 32 34 33 33 31 31
Cleveland-St. Tikhon Cuyahoga 390350038 44.2 40 40 37 36 40 39 36 35 40 38 36 35 34 Cleveland-Broadway Cuyahoga 390350045 38.8 35 35 33 31 35 34 32 30 35 34 31 29 29 Cleveland-GT Craig Cuyahoga 390350060 42.1 39 39 38 37 39 38 38 37 39 38 37 36 35 Newburg Hts - Harvard Ave Cuyahoga 390350065 38.9 35 35 33 31 35 34 32 30 36 35 32 31 30 Columbus - Fairgrounds Franklin 390490024 38.5 34 34 33 33 34 33 32 32 34 34 33 32 31
Columbus - Ann Street Franklin 390490025 38.5 34 33 31 31 33 33 31 31 34 33 31 31 30
Cincinnait Hamilton 390610006 40.6 33 33 30 27 33 32 29 28 34 32 29 28 27 Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2012 2018 

# Table 2c. PM 2.5 

# Modeling Results (Daily)2005
Round 5 with CAIR Round 5 with CAIR Round 5 with CAIR Key Site County Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. C - BART Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2012 2018 

# Table 2c. PM 2.5 

# Modeling Results (Daily)

Cincinnati - Seymour Hamilton 390610014 38.4 33 33 28 26 33 32 27 25 33 31 29 25 24
Cincinnati - Taft Ave Hamilton 390610040 36.7 31 30 26 24 31 30 26 24 32 29 26 24 23
Cincinnati - 8th Ave Hamilton 390610042 37.3 32 32 30 28 32 31 29 28 33 31 29 28 27
Sharonville Hamilton 390610043 36.0 32 31 30 28 32 31 29 28 32 31 29 28 27
Norwood Hamilton 390617001 38.8 34 33 32 30 33 33 31 30 34 33 31 30 29
St. Bernard Hamilton 390618001 40.6 35 35 32 30 35 34 31 30 35 33 32 31 29
Steubenville Jefferson 390810016 40.7 36 35 32 29 35 34 30 28 37 35 31 29 28 Mingo Junction Jefferson 390811001 42.0 37 37 33 30 37 36 32 30 38 36 32 30 30 Dayton Montgomery 391130032 37.8 34 33 31 30 33 33 31 30 34 33 31 31 30
Canton - Dueber Stark 391510017 38.6 33 32 30 28 33 31 30 28 33 30 29 28 27
Akron - Brittain Summit 391530017 38.1 33 33 31 30 33 32 31 30 33 32 30 29 29

Wisconsin Green Bay - Est High Brown 550090005 37.1 35 34 35 35 34 35 35 34 33 33 33 32 32
Madison Dane 550250047 36.4 33 33 32 32 33 32 32 31 32 31 30 29 29
Milwaukee-Health Center Milwaukee 550790010 38.7 35 35 35 35 35 35 35 34 35 34 34 34 33 Milwaukee-SER Hdqs Milwaukee 550790026 37.4 34 34 34 34 34 34 34 34 34 34 34 34 33 Milwaukee-Virginia FS Milwaukee 550790043 39.9 37 37 37 36 37 36 37 36 36 36 37 36 36 Milwaukee- Fire Dept Hdqs Milwaukee 550790099 37.8 34 34 33 33 34 33 33 32 34 33 33 33 32
Waukesha Waukesha 551330027 35.5 32 32 32 31 32 32 32 31 32 31 31 30 2910 

### Table 3. Mo deling Res ults: Number of Sites > NAAQS

Ozone (85 ppb) Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C

- BART

IL 0 0 0 0

---- 0

IN 0 0 0 0

---- 0

MI 3 1 1 1

---- 1
OH 4 0 0 0

---- 0

WI 2 0 0 0

---- 0
Total 9 1 1 1 1

2012

IL 0 0 0 0

---- 0

IN 0 0 0 0

---- 0

MI 3 0 0 0

---- 0
OH 4 0 0 0

---- 0

WI 2 0 0 0

---- 0
Total 9 0 0 0 0

2018

IL 0 0 0 0 0 0

IN 0 0 0 0 0 0

MI 3 0 0 0 0 0
OH 4 0 0 0 0 0

WI 2 0 0 0 0 0
Total 9 0 0 0 0 0

O zone (75 ppb) Round 5 without CAIR Round5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C

- BART

IL 12 6 6 6

---- 4

IN 26 10 9 8

---- 5

MI 21 12 12 12

---- 12
OH 45 27 25 24

---- 21

WI 12 10 10 10

---- 10
Total 116 65 62 60

---- 52

20 12

IL 12 3 3 3

---- 1

IN 26 5 4 4

---- 3

MI 21 9 8 8

---- 6
OH 45 18 14 12

---- 11

WI 12 10 9 9

---- 9
Total 116 45 38 36 30

2018

IL 12 0 0 0 0 0

IN 26 0 0 0 0 0

MI 21 3 3 3 3 3
OH 45 3 3 2 1 1

WI 12 3 2 1 1 1
Total 116 9 8 6 5 511

PM2.5

- Annual Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C

- BART

IL 7 4 4 1

---- 1

IN 6 2 2 0

---- 0

MI 2 2 2 1

---- 1
OH 26 1 3 12 5

---- 1

WI 0 0 0 0

---- 0
Total 41 21 20 7 3

2012

IL 7 3 1 1

---- 0

IN 6 1 1 0

---- 0

MI 2 2 1 1

---- 1
OH 26 12 9 4

---- 0

WI 0 0 0 0

---- 0
Total 41 18 12 6 1

2018

IL 7 3 1 0 0 0

IN 6 1 1 0 0 0

MI 2 2 1 1 1 1
OH 26 13 8 2 0 0

WI 0 0 0 0 0 0
Total 41 19 11 3 1 1

PM2.5

- Daily
Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C

- BART

IL 16 7 7 6

---- 6

IN 13 0 0 0

---- 0

MI 14 10 9 9

---- 5
OH 31 4 3 2

---- 2

WI 8 1 1 1

---- 1
Total 82 2 2 20 18

---- 14

2012

IL 16 9 6 8

---- 6

IN 13 0 0 0

---- 0

MI 14 8 6 6

---- 5
OH 31 3 3 2

---- 1

WI 8 1 1 1

---- 1
Total 82 21 16 1 7 13

2018

IL 16 10 6 8 8 5

IN 13 4 1 1 0 0

MI 14 8 6 6 5 4
OH 31 5 3 2 1 0

WI 8 1 1 1 1 1
Total 82 2 8 17 18 1 5 1012 

### Ta ble 4 . Mo deling Results: Future Year Visibility Levels

Worst 20% 2018

Round 5 without CAIR Round 5 w/ CAIR

Site Baseline

(2000

- 2004) 2018 URP Scen. A Scen. B Scen. C Scen. C

BART

BOWA1 19.86 17.94 19.09 18.87 18.54 18.02 17.94

VOYA2 19.48 17.75 18.60 18.44 18.17 17.77 17.63

SENE1 24.38 21.64 24.02 23.58 23.03 22.38 22.59

ISLE1 21.59 19.43 21.05 20.86 20.62 20.22 20.09

ISLE9 21.59 19.43 20.83 20.58 20.38 19.84 19.84

HEGL1 26.75 23.13 26.24 25.83 24.87 24.23 24.22

MI NG1 28.15 24.27 27.51 26.98 25.81 24.93 24.74

CACR1 26.36 22.91 25.32 24.80 23.57 22.97 22.44

UPBU1 26.27 22.82 25.31 24.79 23.50 22.79 22.59

MACA1 31.37 26.64 30.11 29.08 27.06 26.24 26.10

DOSO1 29.05 24.69 27.88 26.96 24.36 23.74 23.00

SHEN1 29 .31 25.12 28.38 27.65 25.24 24.69 23.92

JARI1 29.12 24.91 28.06 27.21 25.00 24.48 24.06

BRIG1 29.01 25.05 28.10 28.07 26.57 26.25 25.21

LYBR1 24.45 21.48 24.06 23.86 22.58 22.30 21.14

ACAD1 22.89 20.45 22.88 22.76 22.31 22.16 21.49

Best 20% 2018

Round 5 without CAIR Round 5 w/ CAIR

Site Baseline

(2000

- 2004) 2018 Max Scen. A Scen. B Scen. C Scen. C

BART

BOWA1 6.42 6.42 6.20 6.17 6.16 6.12 6.14

VOYA2 7.09 7.09 6.87 6.83 6.81 6.78 6.75

SENE1 7.14 7.14 7.80 7.78 7. 81 7.77 7.71

ISLE1 6.75 6.75 6.77 6.76 6.72 6.67 6.60

ISLE9 6.75 6.75 6.63 6.61 6.58 6.53 6.52

HEGL1 12.84 12.84 12.17 12.20 12.07 11.63 11.66

MING1 14.46 14.46 13.78 13.77 13.70 13.37 13.28

CACR1 11.24 11.24 10.94 10.99 10.97 10.78 10. 52

UPBU1 11.71 11.71 11.18 11.23 11.18 10.96 10.73

MACA1 16.51 16.51 16.32 16.21 15.76 15.34 15.25

DOSO1 12.28 12.28 12.02 11.84 11.27 11.03 11.00

SHEN1 10.93 10.93 10.98 10.91 10.25 10.16 9.91

JARI1 14.21 14.21 14.19 13.98 13.42 13.21 13.14

BRI G1 14.33 14.33 14.32 14.46 14.22 14.17 13.92

LYBR1 6.37 6.37 6.39 6.38 6.31 6.28 6.14

ACAD1 8.78 8.78 8.97 8.96 8.90 8.89 8.8213 

### Figure 2. Ozone Modeling Results
2009 Round 5

–

S cen

. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

2012 Round 5

–

Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

2018 Round 5

–

Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR14 

### Figure 3. PM2.5 Annual Modeling Results
2009 Round 5

– Scen. A Round 5

– S cen. B Round 5

– Scen. C Round 5

- CAIR

2012 Round 5

– Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

2018 Round 5

– Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR15 

### Figure 4 . PM2.5 Daily Modeling Results
2009 Round 5

– Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

2012 Round 5

– Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

2018 Round 5

– Scen. A Round 5

– Scen. B Round 5

– Scen. C Round 5

- CAIR

# Appendix I

Scenario B (Legally Enforceable) ControlsNOx

– 2009

Point Source Grown and Controlled Emissions by facility for NOX r6s1b_2009 Base Year = 2002 Future Year = 2009

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 57 057801AAA 0001 0001 01 10100202 NOX 0.8147 0.8416 0.8416 0.00 0.00 SCR SCR added by LADCO

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 143 143805AAG 0001 0001 01 10100202 NOX 3.0515 3.1522 3.1522 0.00 0.00 lnb LNB added by LADCO 17 143 143805AAG 0001 0003 01 10100202 NOX 6.9419 7.1708 7.1708 0.00 0.00 lnb LNB added by LADCO 17 143 143805AAG 0002 0004 01 10100202 NOX 2.1310 2.2013 2.2013 0.00 0.00 lnb LNB added by LADCO

---- -------- -------- ---------- fcid 12.1244 12.5243 12.5243 cyid 12.1244 12.5243 12.5243 stid 12.9392 13.3659 13.3659

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION" Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrlde s

39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.9860 6.9756 2.3252 0.85 0.95 SCR SCR added by LADCO 39 1 0701000007 R2 B002 B002P1 10100202 NO X 3.6327 3.6273 1.2091 0.85 0.95 SCR SCR added by LADCO 39 1 0701000007 R3 B003 B003P1 10100202 NOX 5.0133 5.0058 1.6686 0.85 0.95 SCR SCR added by LADCO 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.8493 7.8376 2.6125 0.85 0.95 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 23.4814 23.4464 7.8155 cyi d 23.4814 23.4464 7.8155

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control E F Control EF ctrltype ctrldes

39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.0017 0.0017 0.0001 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.8167 5.8080 0.2904 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R3 B003 B003P1 10100201 NOX 7.9017 7.8899 0.3945 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.8775 7.8657 0.3933 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P1 10100202 NOX 3.8586 3.8528 0.1926 0.00 0.95 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO

---- -------- -------- ---------- f cid 25.4561 25.4182 1.2709 cyid 25.4561 25.4182 1.2709 stid 48.9375 48.8646 9.0864

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATION Base Yr Grown Controlled Base Year Future YearSTID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007800 S11 B21 01 10100202 NOX 2.7972 2.8 895 1.6470 0.00 0.43 SCR SCR added by LADCO 55 79 241007800 S11 B22 01 10100202 NOX 2.9073 3.0032 1.7118 0.00 0.43 SCR SCR added by LADCO 55 79 241007800 S12 B23 01 10100202 NOX 2.3270 2.4038 1.2740 0.00 0.47 SCR SCR added by LADCO 55 79 241007800 S12 B24 01 1010020 2 NOX 2.3427 2.4199 1.2826 0.00 0.47 SCR Scrubber added by LADCO

---- -------- -------- ---------- fcid 10.3742 10.7164 5.9154 cyid 10.3742 10.7164 5.9154

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy

- Edgewater Gen Station Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 117 460033090 S1 1 B23 01 10100203 NOX 1.6197 1.6731 1.0038 0.00 0.40 SCR SCR added by LADCO 55 117 460033090 S11 B24 01 10100203 NOX 4.1072 4.2426 3. 4789 0.00 0.18 SCR SCR added by LADCO 55 117 460033090 S12 B25 01 10100221 NOX 5.6804 5.8677 4.9876 0.00 0.15 SCR SCR added by LADCO

- --- -------- -------- ---------- fcid 11.4072 11.7834 9.4703 cyid 11.4072 11.7834 9.4703 stid 21.7814 22.4997 15.3857

======== ======== ========== 83.6581 84.7302 37.8380NOx

- 2012

Point Source Grown and Controlled Emissions by facility for N OX r6s1b_2012 Base Year = 2002 Future Year = 2012

STID=17 CYID=33 fcid=0338 01AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc poli d Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 33 033801AAA 0005 0005 01 10100202 NOX 1.642 1.871 0.9357 0.00 0.500 SCR SCR added by LADCO 17 33 033801AAA 0006 0006 01 10100202 NOX 2.116 2.413 1.2063 0.00 0.500 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 3.758 4.284 2.1420 cyid 3.758 4.284 2.1420

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 57 057801AAA 0001 0001 01 10100202 NOX 0.815 0.929 0.9288 0.00 0.000 SCR SCR added by LADCO

STID=17 CYID=79 fcid=079808AAA name=AMER EN ENERGY GENERATING CO Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 79 079808AAA 0003 0003 01 10100202 NOX 6.735 7.678 7.6780 0.00 0.000 SCR SCR added by LADCO 17 79 079808AAA 0012 0013 01 10100501 NOX 5.936 5.378 5.3781 0.00 0.000 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 12.671 13.056 13.0561 cyid 12.671 13.056 13.0561

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctr ltype ctrldes

17 97 097190AAC 0016 0031 02 10100401 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO

STID=17 CYID=137 fcid=137805AAA name=AMEREN ENE RGY GENERATING CO Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons /Day Tons/Day Control EF Control EF ctrltype ctrldes

17 137 137805AAA 0003 0003 01 10100202 NOX 5.356 6.106 6.1058 0.00 0.000 LNB LNB added by LADCO

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 143 143805AAG 0001 0001 01 10100202 NOX 3.052 3.479 3.4789 0.00 0.000 lnb LNB added by LADCO 17 143 143805AAG 0001 0003 01 10100202 NOX 6.942 7.914 7.9141 0.00 0.000 lnb LNB added by LADCO 17 143 14

3805AAG 0002 0004 01 10100202 NOX 2.131 2.429 2.4294 0.00 0.000 lnb LNB added by LADCO

---- -------- - ------- ---------- fcid 12.124 13.822 13.8224 cyid 12.124 13.822 13.8224STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 167 167120AAO 0010 0012 01 10100203 NOX 6.527 7.441 0.0074 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO 17 167 167120AAO 0010 0013 01 10100203 NOX 2.646 3.017 0.0030 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

---- -------- -------- ---------- fcid 9.173 10.458 0.0105 cyid 9.173 10.458 0.0 105

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 179 179801AAA 0018 0029 01 10 100203 NOX 22.429 25.570 1.2785 0.00 0.950 SCR SCR added by LADCO 17 179 179801AAA 0018 0031 01 10100203 NOX 38.993 44.454 2.2227 0.00 0.950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 61.422 7 0.024 3.5012 cyid 61.422 70.024 3.5012

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197809AAO 0032 0033 02 10100604 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year F uture Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197810AAK 0011 0016 02 10100222 NOX 5.731 6.534 3.9203 0.00 0.400 SCR SCR added by LADCO 17 197 197810AAK 0011 0016 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 17 197 197810AAK 0013 0010 02 10100223 NOX 8.598 9.802 0.0098 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0013 0010 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0007 0012 02 10100223 NOX 10.974 12.511 0.01 25 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0007 0012 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO

-- -- -------- -------- ---------- fcid 25.303 28.847 3.9426 cyid 25.303 28.847 3.9426 stid 130.622 147.527 43.5096

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc

- Boswell Energy Ctr

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 61 2706100004 SV003 EU003 001 10100226 NOX 13.661 14.142 2.8284 0.00 0.800 SCR SCR added by LADCO 27 61 2706100004 SV003 EU00 3 002 10100501 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO

---- -------- -------- ---------- fci d 13.661 14.142 2.8284 cyid 13.661 14.142 2.8284

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities

- Silver Lake Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes27 1 09 2710900011 SV003 EU004 001 10100202 NOX 2.079 2.152 1.2911 0.00 0.400 SNCR SCR added by LADCO

---- ---- ---- -------- ---------- stid 15.739 16.294 4.1195

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION" Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid T ons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.986 7.296 2.4319 0.85 0.950 SCR SCR added by LADCO 39 1 0701000007 R2 B002 B002P1 10100202 NOX 3.633 3.794 1.2646 0.85 0.950 SCR SCR added by LADCO 39 1 0701000007 R3 B003 B003P 1 10100202 NOX 5.013 5.235 1.7452 0.85 0.950 SCR SCR added by LADCO 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.849 8.197 2.7324 0.85 0.950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 23.481 24.522 8.1740 cyid 23.481 24.522 8.1740

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid s tkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 31 0616000000 R4 B004 B004P1 10100212 NOX 20.852 21.776 1.0888 0.00 0.950 SCR SCR added by LADCO

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.002 0.002 0.0001 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.817 6.074 0.3037 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 39 167 068400

0000 R3 B003 B003P1 10100201 NOX 7.902 8.252 0.4126 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.000 0. 000 0.0000 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.877 8.227 0.4113 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P1 1010 0202 NOX 3.859 4.030 0.2015 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.000 0.000 0.0000 0.00 0. 950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 25.456 26. 584 1.3292 cyid 25.456 26.584 1.3292 stid 69.789 72.882 10.5920

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CR EEK STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007690 S13 B25 01 10100202 NOX 4.755 5.421 3.0898 0.00 0.430 SCR SCR added by LADCO 55 79 241007690 S13 B26 01 10100202 NOX 3.277 3.736 2.2045 0.00 0.410 SCR SCR added by LADCO 55 79 241007690 S14 B27 01 10100212 NOX 3.333 3.800 2.8499 0.00 0.250 SCR SCR added by LADCO 55 79 241007690 S14 B28 01 10100212 NOX 3.384 3.857 2.9316 0.00 0.240 SC R SCR added by LADCO

---- -------- -------- ---------- fcid 14.749 16.814 11. 0757

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATIONBase Yr Grown Controll ed Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007800 S11 B21 0 1 10100202 NOX 2.797 3.189 1.8177 0.00 0.430 SCR SCR added by LADCO 55 79 241007800 S11 B22 01 10100202 NOX 2.907 3.314 1.8893 0.0 0 0.430 SCR SCR added by LADCO 55 79 241007800 S12 B23 01 10100202 NOX 2.327 2.653 1.4061 0.00 0.470 SCR SCR added by LADCO 55 79 241007800 S12 B24 01 10100202 NOX 2.343 2.671 1.4155 0.00 0.470 SCR Scrubber added by LADCO

---- -------- -------- ---------- fcid 10.374 11.827 6.5285 cyid 25.123 28.641 17.6042

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy

- Edgewater Gen Station

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrl type ctrldes

55 117 460033090 S11 B23 01 10100203 NOX 1.620 1.846 1.1079 0.00 0.400 SCR SCR added by LADCO 55 117 460033090 S11 B24 0 1 10100203 NOX 4.107 4.682 3.8395 0.00 0.180 SCR SCR added by LADCO 55 117 460033090 S12 B25 01 10100221 NOX 5.680 6.476 5.5045 0.0 0 0.150 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 11 .407 13.005 10.4519 cyid 11.407 13.005 10.4519 stid 36.530 41.646 28.0562

======== ======== ========== 252.681 278.349 86.2773NOx 20 18

Point Source Grown and Controlled Emissions by facility for NOX r6s1b_2018 Base Year = 2002 Future Year = 2018

STID=17 CYID=31 fcid=031600AIN name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 31 031600AIN 0010 0013 01 10100226 NOX 2.283 2. 592 1.5550 0.00 0.400 SCR SCR added by LADCO 17 31 031600AIN 0010 0013 02 10100601 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 17 31 031600AIN 0012 0016 01 10100226 NOX 3.991 4.531 2.7184 0.00 0.400 SCR SCR added by LADCO 17 31 031600AIN 0012 0016 02 1010 0601 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 6.274 7.122 4.2734 cyid 6.274 7. 122 4.2734

STID=17 CYID=33 fcid=033801AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Co ntrolled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 33 033801AAA 0005 0005 01 10100202 NOX 1.642 1.863 0.9317 0.00 0.500 SCR SCR added by LADCO 17 33 033801AAA 0006 0006 01 10100202 NOX 2.116 2.402 1.2012 0.00 0.500 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 3.758 4.266 2.1329 cyid 3.758 4.266 2.1329

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 57 057801AAA 0001 0001 01 10100202 NOX 0.815 0.925 0.924 9 0.00 0.000 SCR SCR added by LADCO

STID=17 CYID=79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Controlled Ba se Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 79 079808AAA 0003 0003 01 10100202 NOX 6.735 7.645 7.6453 0.00 0.000 SCR SCR added by LADCO 17 79 079808AAA 0012 0013 01 10100501 NOX 5.936 3.984 3.9838 0.00 0.000 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 12.671 11.629 11.6291 cyid 12.671 11.629 11.6291

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 97 097190AAC 0016 0031 02 10100401 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO

STID=17 CYID=137 fcid=137805AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Controlled Base Ye ar Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 137 137805AAA 0003 0003 01 10100 202 NOX 5.356 6.080 6.0798 0.00 0.000 LNB LNB added by LADCOSTID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 143 143805AAG 0001 0001 01 10100202 NOX 3.052 3.464 3.4641 0.00 0.000 lnb LNB added by LADCO 17 143 143805AAG 0001 0003 01 10100202 NOX 6.942 7.880 7.8804 0.00 0.000 lnb LNB added by LADCO 17 143 143805AAG 0002 0004 01 10100202 NOX 2.131 2.419 2.4191 0.00 0.000 lnb LNB added by LADCO

---- -------- -------- ---------- fcid 12.124 13.764 13.7636 cyid 12.124 13.764 13.7636

STID=17 CYID= 167 fcid=167120AAO name=CITY WATER LIGHT & POWER Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 167 167120AAO 0010 0012 01 10100203 NOX 6.527 7.410 0.0074 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO 17 167 167120AAO 0010 0013 01 10100203 NOX 2.646 3.004 0.0030 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

---- -------- -------- ---------- fcid 9.173 10.414 0.0104 cyid 9.173 10.414 0.0104

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Contro l EF Control EF ctrltype ctrldes

17 179 179801AAA 0018 0029 01 10100203 NOX 22.429 25.462 1.2731 0.00 0.950 SCR SCR added by LADCO 17 179 179801 AAA 0018 0031 01 10100203 NOX 38.993 44.265 2.2132 0.00 0.950 SCR SCR added by LADCO

---- -------- ----- --- ---------- fcid 61.422 69.726 3.4863 cyid 61.422 69.726 3.4863

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197809AAO 0032 0033 02 10100604 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197810AAK 0011 0016 02 10100222 NOX 5.731 6.506 3.9036 0.00 0.400 SCR SCR added by LADCO 17 197 197810AAK 0 011 0016 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 17 197 197810AAK 0013 0010 02 10100223 NOX 8.598 9.760 0.0098 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0013 0010 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0007 0012 02 10100223 NOX 10.974 12.458 0.0125 0.00 0.999 SHUTDOWN SCR added by LADCO 17 197 197810AAK 0007 0012 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO

---- -------- -------- ---------- fcid 25.303 28.724 3.9258 cyid 25.303 28.724 3.9258 stid 136.896 152.649 46.2263STID=18 CYID=147 fcid=00020 name=INDIANA MICHIGAN POWER

- ROCKPORT

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

18 147 00020 1 001 01 10100222 NOX 23.226 25.291 1.2646 0.00 0.950 SCR SCR added by LADCO 18 147 00020 1 001 02 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 23.226 25.291 1.2646 cyid 23.226 25.291 1.2646 stid 23.226 25.291 1.2646

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc

- Boswell Energy Ctr Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 61 2706100004 SV003 EU003 001 10100226 NOX 13.661 15.733 3.1466 0.00 0.800 SCR SCR added by LADCO 27 61 2706100004 SV003 EU003 002 10100501 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 13.661 15.733 3.1466 cyid 13.661 15.733 3.1466

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities

- Silver Lake Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 109 271090

0011 SV003 EU004 001 10100202 NOX 2.079 2.394 1.4363 0.00 0.400 SNCR SCR added by LADCO

---- -------- ----- --- ---------- stid 15.739 18.127 4.5830

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION" Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day To ns/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.986 7.607 2.5358 0.85 0.950 SCR SCR added by LAD CO 39 1 0701000007 R2 B002 B002P1 10100202 NOX 3.633 3.956 1.3186 0.85 0.950 SCR SCR added by LADCO 39 1 0701000007 R3 B003 B003P1 10100202 NOX 5.013 5.459 1.8197 0.85 0.950 SCR SCR added by LADCO 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.849 8.547 2.8491 0.85 0.950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 23.481 25.570 8.5232 cyid 23.481 25.570 8.5232

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 31 0616000000 R4 B004 B004P1 10100212 NOX 20.852 22.706 1.1353 0.00 0.950 SCR SCR added by LADCO

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT Base Yr Grown Controlled Base Year F uture Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.002 0.002 0.0001 0.00 0.950 SCR SCR added by LADCO39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.817 6.334 0.3167 0.00 0.950 SCR SCR added by LADCO

39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R3 B003 B003P1 10100201 NOX 7.902 8.604 0.4302 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.000 0.000 0.00 00 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.877 8.578 0.4289 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P1 10100202 NOX 3.859 4.202 0.2101 0.00 0.950 SCR SCR added by LADCO 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 25.456 27.720 1.38 60 cyid 25.456 27.720 1.3860

st id 69.789 75.996 11.0445

STID=54 CYID=39 fcid=0006 name=APPALACHIAN POWER

- KANAWHA RIVER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 39 0006 012 001 99 10100202 NOX 4.829 5.258 2.6291 0.00 0.500 SCR Scrubber added by LADCO 54 39 0006 012 002 99 10100202 NOX 4.921 5.359 2.6794 0.00 0.500 SCR Scrubber added by LADCO

---- -------- -------- ---------- fcid 9.750 10.617 5.3085 cyid 9.750 10.617 5.3085 stid 9.750 10.617 5.3085

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007690 S13 B25 01 10 100202 NOX 4.755 5.398 3.0766 0.00 0.430 SCR SCR added by LADCO 55 79 241007690 S13 B26 01 10100202 NOX 3.277 3.720 2.1951 0.00 0.410 SCR SCR added by LADCO 55 79 241007690 S14 B27 01 10100212 NOX 3.333 3.784 2.8378 0.00 0.250 SCR SCR added by LADCO 55 79 241007690 S14 B28 01 10100212 NOX 3.384 3.841 2.9191 0.00 0.240 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 14.749 16.743 11.0285

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALL EY STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007800 S11 B21 01 10100202 NOX 2.797 3.175 1.4289 0.00 0.550 SCR SCR added by LADCO 55 79 241007800 S11 B22 01 10100202 NOX 2.907 3.300 1.4852 0.00 0.550 SCR SCR added by LADCO 55 79 241007800 S12 B23 01 10100202 NOX 2.327 2.642 1.1887 0.00 0.550 SCR SCR added by LADCO 55 79 241007800 S12 B24 01 10100202 NOX 2.343 2.659 1.1967 0.00 0.550 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 10.374 11.777 5.2 995 cyid 25.123 28.519 16.3281

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy

- Edgewater Gen Station Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 117 460033090 S11 B23 01 10100203 NOX 1.620 1.839 1.103 2 0.00 0.400 SCR SCR added by LADCO55 117 460033090 S11 B24 01 10100203 NOX 4.107 4.662 3.8232 0.00 0.180 SCR SCR added by LADCO

5 5 117 460033090 S12 B25 01 10100221 NOX 5.680 6.448 5.4811 0.00 0.150 SCR SCR added by LADCO

---- -------- -------- ---------- fcid 11.407 12.949 10.4074 cyid 11.407 12.949 10.4074 stid 36.530 41.469 26.735 5

======== ======== ========== 291.931 324.149 95.1624SO2

– 2009

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2009 1 Base Year = 2002 Future Year = 2009

STID=19 CYID=115 fcid=58

- 07

- 001 name=MIDAMERICAN ENERGY CO.

- LOUISA STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Cont rol EF Control EF ctrltype ctrldes

19 115 58

- 07

- 001 117487 147281 99 10100222 SO2 33.664 34.774 3.4774 0.0 0.90 SCRUBBER Scrubber added by LADCO

STID=21 CYID=161 fc

id=2116100009 name=EAST KY POWER COOP Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

21 161 2116100009 1 001 99 10100202 SO2 42.166 42.103 4.2103 0.0 0.90 SCRUBBER Scrubber added by LADCO 21 161 2116100009 2 002 99 10100212 SO2 55.385 55.303 5.5303 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 97.551 97.406 9.7406 cyid 97.551 97.406 9.7406 stid 9 7.551 97.406 9.7406

STID=27 CYID=141 fcid=2714100004 name=NSP

- Sherburne Generating Plant Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 141 271410

0004 SV001 EU001 001 10100222 SO2 16.765 16.987 3.6401 0.3 0.85 SCRUBBER Scrubber added by LADCO 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.549 22. 848 4.8959 0.3 0.85 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 39.314 39.834 8.5360 cyid 39.314 39.834 8.5360 stid 39.314 39.834 8.5360

STID=54 CYID=51 fcid= 0005 name=OHIO POWER

- MITCHELL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 51 0005 012 001 99 10100202 SO2 17.775 17.748 1.7748 0.0 0.90 SCRUBBER Scrubber added by LADCO 54 51 0005 012 002 99 10100202 SO2 5.689 5.680 0.5680 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 23.463 23.428 2.3428 cyid 23.463 23.428 2.3428

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER

- MOUNTAINEER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 53 0009 001 001 99 10100202 SO2 11.196 11.179 1.1179 0.0 0.90 SCRUBBER Scrubber added by LADCO

STID=54 CYID=79 fcid= 0006 name=APPALACHIAN POWER

- JOHN E AMOS PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes54 79 0006 012 001 99 10100202 SO2 79.635 79.516 7.9516 0.0 0.90 SCRUBBER Scrubber added by LADCO

54 79 0006 003 003 99 10100202 SO2 139.377 139.169 13.9169 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 219.012 218.685 21.8685 cyid 219.012 218.685 21.8685 stid 253.671 253.293 25.3293

======== ======== ==========

424.200 425.307 47.0832SO2

– 2012

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2012 1 Base Year = 2002 Future Year = 2012

STID=17 CYID=31 fcid=031600AMI name=MIDWEST GENERATION L LC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day To ns/Day Control EF Control EF ctrltype ctrldes

17 31 031600AMI 0007 0010 01 10100226 SO2 16.13 18.39 1.839 0.0 0.900 SCRUBBER Scrubber added by LADCO

ST ID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 97 097190AAC 0018 0033 01 10100226 SO2 24.14 27.52 2.752 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 97 097190AAC 0021 0036 01 10100226 SO2 19.23 21.92 2.192 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 97 09719

0AAC 0016 0031 01 10100203 SO2 4.59 5.24 0.005 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 47.96 54.68 4.950 cyid 47.96 54.68 4.950

STID=17 CYID=125 fcid=125804AAB name=DYNEGY MIDWEST GENERATION INC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 125 125804AAB 0019 0023 01 10100202 SO2 22.34 25.47 3.821 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=17 CYID=127 fcid=127855AAC name=ELECTRIC ENERGY INC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/D ay Control EF Control EF ctrltype ctrldes

17 127 127855AAC 0001 0001 01 10100222 SO2 11.83 13.48 13.482 0.0 0.000 LNB LNB added by LADCO 17 127 127855AAC 0001 0002 01 10100222 SO2 11.48 13.09 13.085 0.0 0.000 LNB LNB added by LADCO 17 127 127855AAC 0002 0003 01 10100222 SO2 10.25 11.68 11.680 0.0 0.000 LNB LNB added by LADCO 17 127 127855AAC 0002 0004 01 10100222 SO2 12.04 13.73 13.731 0.0 0.000 LNB LNB added by LADCO 17 127 127855AAC 0003 0006 01 10100222 SO2 12.68 14.46 14.456 0.0 0.000 LNB LNB added by LADCO

---- -------- -------- ---------- fcid 58.27 66.43 66.435 cyid 58.27 66.43 66.435

STID=17 CYID=135 fcid=135803AAA name=AMEREN ENERGY GENERATING C O Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Ton s/Day Control EF Control EF ctrltype ctrldes

17 135 135803AAA 0001 0001 01 10100203 SO2 32.99 37.61 3.761 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 135 135803AAA 0001 0003 01 10100203 SO2 72.92 83.13 8.313 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 105.91 120.74 12.074 cyid 105.91 120.74 12.074STID=17 CYID=157 fcid=157851AAA name=DYNEGY MIDWEST GENERATION INC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 157 157851AAA 0001 0001 01 10100203 SO2 25.14 28.66 4.299 0.0 0.850 SCRUBBER Scrubber added by LADCO 17 157 157851AAA 0002 00 02 01 10100203 SO2 25.79 29.41 4.411 0.0 0.850 SCRUBBER Scrubber added by LADCO 17 157 157851AAA 0013 0013 01 10100202 SO2 27.79 31.68 4.752 0.0 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 78.72 89.75 13.462 cyid 78.72 89.75 13.462

STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 167 167120AAO 0010 0012 01 10100203 SO2 4 4.20 50.39 0.050 0.0 0.999 SHUTDOWN Scrubber added by LADCO 17 167 167120AAO 0010 0013 01 10100203 SO2 16.40 18.70 0.019 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 60.61 69.10 0.06 9 cyid 60.61 69.10 0.069

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid p rid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 179 179801AAA 0018 0029 01 10100203 SO2 25.35 28.90 2.890 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 179 179801AAA 0018 0031 01 10100203 SO2 41.57 47.39 4.739 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 66.91 76.29 7.629 cyid 66.91 76.29 7.629

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Ton s/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197810AAK 0013 0010 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO 17 197 197810AAK 0007 0012 02 10100223 SO2 15.33 17.48 0.017 0.0 0.999 SHUTDOWN Scrubber added by LADCO 17 197 197810AAK 0007 0012 03 101 00501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 15.33 17.48 0.017 cyid 15.33 17.48 0.017 stid 472.19 538.32 110.295

STID=19 CYID=115 fcid=58

- 07

- 001 name=MIDAMERICAN ENERGY CO.

- LOUISA STATION Base Yr Grown Controlled Base Year Future Year STID CYI D fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

19 115 58

- 07

- 001 117487 147281 99 10100222 SO2 33.66 38.38 3.838 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=21 CYID=161 fcid=2116100009 name=EAST KY POWER COOP Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes21 161 2116100009 1 001 99 10100202 SO2 42.17 44.03 4.403 0.0 0.900 SCRUBBER Scrubber added by LADCO

21 161 2116100009 2 002 99 10100212 SO2 55.39 57.84 5.784 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 97.55 101.87 10.187 cyid 97.55 101.87 10.187 stid 97.55 101.87 10.187

STID=27 CYID=61 fcid=27 06100004 name=Minnesota Power Inc

- Boswell Energy Ctr Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 61 2706100004 SV003 EU003 001 10100226 SO2 33.99 35.19 15.081 0.3 0.700 SCRUBBER Scrubber added by LADCO 27 61 2706100004 SV003 EU003 002 10100501 SO2 0.00 0.00 0.000 0.3 0.700 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 33.99 35.19 15.081 cyid 33.99 35.19 15.081

STID=27 CYID=109 fcid=2710900011 name=Rochester Pu blic Utilities

- Silver Lake Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid T ons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 109 2710900011 SV003 EU004 001 10100202 SO2 7.86 8.13 1.220 0.0 0.850 SCRUBBER S crubber added by LADCO STID=27 CYID=141 fcid=2714100004 name=NSP

- Sherburne Generating Plant Base Yr Grown Controlled Base Year Future Year STID CYID f

cid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 141 2714100004 SV001 EU001 001 10100222 SO2 16.76 17.36 3.719 0.3 0.850 SCRUBBER Scrubber added by LADCO 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.55 23.34 5.002 0.3 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 39.31 40.70 8.721 cyid 39.31 40.70 8.721 stid 81.16 84.02 25.023

STID=39 CYID=13 fcid=0607130015 name=R. E. BURGER PLANT

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Cont rol EF ctrltype ctrldes

39 13 0607130015 R6 B011 B011P1 10100202 SO2 29.83 31.15 3.115 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 13 0607130015 R7 B012 B012P1 10100202 SO2 34.77 36.31 3.631 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 64.60 67.46 6.746 cyid 64.60 67.46 6.746

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 31 0616000000 R4 B004 B004P1 10100212 SO2 316.00 330.00 33.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- stid 380.60 397.46 39.746

STID=47 CYID=1 fcid=0009 name=TVA BULL RUN FOSSIL PLANTBase Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Da y Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 1 0009 S

- 1 001 99 10100212 SO2 130.81 133.01 13.301 0.0 0.900 SCRUBBER Scrubbe r added by LADCO

STID=47 CYID=73 fcid=0007 name=TVA JOHN SEVIER FOSSIL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stk id dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 73 0007 S

- 1A 001 99 10100212 SO2 20.15 20.49 2.0 49 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 1B 002 99 10100212 SO2 20.25 20.59 2.059 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 2A 003 99 10100212 SO2 19.62 19.95 1.995 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 2B 004 99 10100212 SO2 18.93 19.25 1.925 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 78.95 80.28 8.028 cyid 78.95 80.2 8 8.028

STID=47 CYID=85 fcid=0011 name=TVA JOHNSONVILLE FOSSIL PLANT Base Yr Grown Contr olled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 85 0011 S1

- 01 001 99 10100212 SO2 17.06 17.35 1.735 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 85 0011 S1

- 04 004 99 10100212 SO2 19.85 20.18 2.018 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 85 0011 S1

- 05 005 99 10100212 SO2 24.11 24.52 2.452 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 61.02 62.04 6.204 cyid 61.02 62.04 6.204

STID=47 CYID=145 fcid=0013 name =TVA KINGSTON FOSSIL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Ton s/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 145 0013 S

- 1 001 99 10100202 SO2 12.68 12.89 1.289 0.0 0.900 SCRUBBER Scr ubber added by LADCO 47 145 0013 S

- 1 002 99 10100202 SO2 14.00 14.24 1.424 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 003 9 9 10100202 SO2 13.80 14.04 1.404 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 004 99 10100202 SO2 12.24 12.44 1.244 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 005 99 10100202 SO2 19.57 19.90 1.990 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 006 99 10100202 SO2 18.92 19.24 1.924 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 007 99 10100202 SO2 21.30 21.66 2.166 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 008 99 10100202 SO2 18.54 18.85 1.885 0.0 0.900 SCRUBBE R Scrubber added by LADCO 47 145 0013 S

- 2 009 99 10100202 SO2 20.72 21.07 2.107 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 151.77 154.33 15.433 cyid 151.77 154.33 15.433

STID=47 CYID=165 fcid=0025 name=TVA GALLATIN FOSSIL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Cont rol EF Control EF ctrltype ctrldes

47 165 0025 S

- 01 001 99 10100212 SO2 13.91 14.14 1.414 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 00

25 S

- 01 002 99 10100212 SO2 14.87 15.12 1.512 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 0025 S

- 02 003 99 10100212 SO2 16.33 16.60 1.660 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 0025 S

- 02 004 99 10100212 SO2 20.39 20.73 2.073 0.0 0.900 SCRUBBER Sc rubber added by LADCO

---- -------- -------- ----------fcid 65.49 66.59 6.659

cyid 65.49 66.59 6.659 stid 488.04 496.25 49.625

STID=54 CYID=51 fcid=0005 name=OHIO POWER

- MITCHELL PLANT

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 51 0005 012 001 99 10100202 SO2 17.77 18.56 1.856 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 51 0005 012 002 99 10100202 SO2 5.69 5.94 0.594 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- --- ----- ---------- fcid 23.46 24.50 2.450 cyid 23.46 24.50 2.450

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER

- MOUNTAINEER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 53 0009 001 001 99 10100202 SO2 11.20 11.69 1.169 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=54 CYID=79 fcid=0006 name=APPALACHIAN POWER

- JOHN E A MOS PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 79 0006 012 001 99 10100202 SO2 79.63 83.16 8.316 0.0 0.900 SCRUBBER Scrubber added by LA DCO 54 79 0006 012 002 99 10100202 SO2 100.33 104.78 10.478 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 79 0006 003 003 99 10100202 SO2 139.38 145.55 14.555 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 319.35 333.50 33.350 cyid 319.35 3 33.50 33.350 stid 354.00 369.69 36.969

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007690 S13 B25 01 10100202 SO2 12.75 14.5 4 3.490 0.0 0.760 SCRUBBER Scrubber added by LADCO 55 79 241007690 S13 B26 01 10100202 SO2 8.68 9.89 2.473 0.0 0.750 SCRUBBER Scrubber add ed by LADCO 55 79 241007690 S14 B27 01 10100212 SO2 10.97 12.51 2.876 0.0 0.770 SCRUBBER Scrubber added by LADCO 55 79 241007690 S14 B28 01 10100212 SO2 11.28 12.86 2.958 0.0 0.770 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 43.68 49.80 11.797 cyid 43.6 8 49.80 11.797 stid 43.68 49.80 11.797

======== ======== ========== 1950.90 2075.80 287.480SO2

– 2018

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2018 1 Base Year = 2002 Future Year = 2018

STID=17 CYID=31 fcid=031600AIN name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 31 031600AIN 0010 0013 01 10100226 SO2 10.92 12.39 1.239 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 31 031600AIN 0012 0016 01 10100226 SO2 17.69 20.08 2.008 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 28.61 32.48 3.248

STID=17 CYID=31 fcid=031600AMI name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 31 031600AMI 0007 0010 01 10100226 SO2 16.13 18.31 1.831 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- cyid 44.74 50.79 5.079

STID=17 CYID =79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 79 079808AAA 0003 0003 01 10100202 SO2 36.35 41.27 4.127 0.0 0. 900 SCRUBBER Scrubber added by LADCO 17 79 079808AAA 0012 0013 01 10100501 SO2 28.99 19.46 1.946 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 65.34 60.72 6.072 cyid 65.34 60.72 6.072

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATIO N LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 97 097190AAC 0018 0033 01 10100226 SO2 24.14 27.40 2.740 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 97 097190AAC 0021 0036 01 10100226 SO2 19.23 21.83 2.183 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 97 097190AAC 0016 0031 01 10100203 SO2 4.59 5.22 0.005 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 47.96 54.45 4.928 cyid 47.96 54.4 5 4.928

STID=17 CYID=125 fcid=125804AAB name=DYNEGY MIDWEST GENERATION INC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 125 125804AAB 0019 0023 01 10100202 SO2 22.34 25.36 3.805 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=17 CYID=127 fcid=127855AAC name=ELECTRIC ENERGY INC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes17 127 127855AAC 0002 0003 01 10100222 SO2 10.25 11.63 11.630 0.0 0.000 LNB LNB added by LADCO

17 127 127855AAC 0002 0004 01 10100222 SO2 12.04 13.67 13.673 0.0 0.000 LNB LNB added by LADCO 17 127 127855AAC 0001 0001 01 10100222 SO2 11.83 13.42 1.342 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 127 127855AAC 0001 0002 01 10100222 SO2 11.48 13.03 1.303 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 127 1 27855AAC 0003 0005 01 10100222 SO2 11.72 13.31 1.331 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 127 127855AAC 0003 0006 01 10100222 SO2 12.68 14.39 1.439 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 70.00 79.46 30.719 cyid 70.00 79.46 30.719

STID=17 CYID=135 fcid=135803AAA name=AMEREN ENERGY GENERATING CO Base Yr Grown Controlled Bas e Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 135 135803AAA 0001 0001 01 10100203 SO2 32.99 37.45 3.745 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 135 135803AAA 0001 0003 01 10100203 SO2 72.92 82.77 8.277 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 10 5.91 120.22 12.022 cyid 105.91 120.22 12.022

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 143 143805AAG 0002 0004 01 10100202 SO2 15.28 17.34 1.734 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=17 CYID=157 fcid=157851AAA name=DYNEGY MIDWEST GENERATION INC Base Yr Grown C ontrolled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 157 157851AAA 0001 0001 01 10100203 SO2 25.14 28.54 4.281 0.0 0.850 SCRUBBER Scrubber added by LADCO 17 157 157851AAA 0002 0002 01 10100203 SO2 25.79 29.28 4.3 92 0.0 0.850 SCRUBBER Scrubber added by LADCO 17 157 157851AAA 0013 0013 01 10100202 SO2 27.79 31.54 4.732 0.0 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 78.72 89.36 13.404 cyid 78.72 89.36 13.404

STID=17 CYID=167 fcid=16712 0AAO name=CITY WATER LIGHT & POWER Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc poli d Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 167 167120AAO 0010 0012 01 10100203 SO2 44.20 50.18 0.050 0.0 0.999 SHUTDOW N Scrubber added by LADCO 17 167 167120AAO 0010 0013 01 10100203 SO2 16.40 18.62 0.019 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 60.61 68.80 0.069 cyid 60.61 68.80 0.069

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Co ntrol EF Control EF ctrltype ctrldes

17 179 179801AAA 0018 0029 01 10100203 SO2 25.35 28.77 2.877 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 179 179801AAA 0018 0031 01 10100203 SO2 41.57 47.19 4.719 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- ------- - -------- ----------fcid 66.91 75.96 7.596

cyid 66.91 75.96 7.596

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197809AAO 0006 0009 01 10100203 SO2 15.89 18.04 1.804 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 197 197809AAO 0016 0031 01 1 0100202 SO2 27.43 31.13 3.113 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 197 197809AAO 0017 0033 01 10100202 SO2 23.13 26.26 2.626 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 66.45 75.44 7.544

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

17 197 197810AAK 0009 0014 02 10100222 SO2 11.64 13.21 1.321 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 197 197810AAK 0011 0016 02 10100222 SO2 25.67 29.14 2.914 0.0 0.900 SCRUBBER Scrubber added by LADCO 17 197 197810AAK 0013 0010 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO 17 197 197810AAK 0007 0012 02 10100223 SO2 15.33 17.40 0.017 0.0 0.999 SHUTDOWN Scrubber added by LADCO 17 197 197810AAK 0007 0012 03 101005 01 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ---------- fcid 52.64 59.75 4.252 cyid 119.09 135.19 11.796 stid 696.90 777.66 97.225

STID=18 CYID=147 fcid=00020 name=INDIANA MICHIGAN POWER

- ROCKPORT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

18 147 00020 1 001 01 10100222 SO2 66.42 72.32 7.232 0.0 0.900 SCRUBBER Scrubber added by LADCO 18 147 00020 1 001 02 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 66.42 72.32 7.232 cyid 66.42 72.32 7.232 stid 66.42 72.32 7.232

STID=19 CYID=115 fcid=58

- 07

- 001 name=MIDAMERICAN ENERGY CO.

- LOUISA STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

19 115 58

- 07

- 001 117487 147281 99 10100222 SO2 33.66 38.22 3.822 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=21 CYID=127 fcid =2112700003 name=KENTUCKY POWER CO Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc poli d Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

21 127 2112700003 2 002 99 10100202 SO2 104.52 113.82 11.382 0.0 0.900 SCRUBBE R Scrubber added by LADCO

STID=21 CYID=161 fcid=2116100009 name=EAST KY POWER COOP Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes21 161 2116100009 1 001 99 10100202 SO2 42.17 45.92 4.592 0.0 0.900 SCRUBBER Scrubber added by LADCO

21 161 2116100009 2 002 99 10100212 SO2 55.39 60.31 6.031 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 97.55 106.23 10.623 cyid 97.55 106.23 10.623 stid 202.07 220.04 22.004

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc

- Boswell Energy Ctr Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Cont rol EF Control EF ctrltype ctrldes

27 61 2706100004 SV003 EU003 001 10100226 SO2 33.99 39.15 16.778 0.3 0.700 SCRUBBER Scrubber added by LADCO 27 61 27

06100004 SV003 EU003 002 10100501 SO2 0.00 0.00 0.000 0.3 0.700 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 33.99 39.15 16.778 cyid 33.99 39.15 16.778

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities

- Silver Lake

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF c trltype ctrldes

27 109 2710900011 SV003 EU004 001 10100202 SO2 7.86 9.05 1.357 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=27 CYID=141 fcid=2714100004 name=NSP

- Sherburne Generating Plant Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid To ns/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

27 141 2714100004 SV001 EU001 001 10100222 SO2 16.76 19.31 4.138 0.3 0.850 SCRUBBER Sc rubber added by LADCO 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.55 25.97 5.565 0.3 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 39.31 45.28 9.703 cyid 39.31 45.28 9.703 stid 81.16 93.48 27.838

STID=39 CYID=13 fcid=0607130015 name=R. E. BURGER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 13 0607130015 R6 B011 B011P1 10100202 SO2 29.83 32.48 3.248 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 13 0607130015 R7 B012 B012P1 10100202 SO2 34.77 37. 86 3.786 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 64.60 70.34 7.034 cyid 64.60 70.34 7.034

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT Base Yr Grown Controlled Base Year Futur e Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

39 31 0616000000 R4 B004 B004P1 10100212 SO2 316.00 344.11 34.411 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes39 167 0684000000 R2 B002 B002P1 10100201 SO2 65.07 70.85 7.085 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R2 B002 B002P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R3 B003 B003P1 10100201 SO2 94.58 103.00 10.300 0.0 0.900 SCRUBBE R Scrubber added by LADCO 39 167 0684000000 R3 B003 B003P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R4 B00 4 B004P1 10100203 SO2 81.64 88.90 8.890 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R4 B004 B004P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R5 B005 B005P1 10100203 SO2 97.22 105.87 10.587 0.0 0.900 SCRUBBER Scrubber added by LADCO 3 9 167 0684000000 R5 B005 B005P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R6 B006 B006P1 10100202 SO 2 113.96 124.10 12.410 0.0 0.900 SCRUBBER Scrubber added by LADCO 39 167 0684000000 R6 B006 B006P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 452.48 492.72 49.272 cyid 452.48 492.72 49.272 stid 833.08 907.16 90.716

STID=47 CYID=1 fcid=0009 name=TVA BULL RUN FOSSIL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 1 0009 S

- 1 001 99 10100212 SO2 130.81 136.82 13.682 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=47 CY ID=73 fcid=0007 name=TVA JOHN SEVIER FOSSIL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 73 0007 S

- 1A 001 99 10100212 SO2 20.15 21.07 2.107 0.0 0.90 0 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 1B 002 99 10100212 SO2 20.25 21.18 2.118 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 2A 003 99 10100212 SO2 19.62 20.52 2.052 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 73 0007 S

- 2B 004 99 10100212 SO2 18.93 19.8 0 1.980 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 78.95 82.57 8.257 cyid 78.95 82.57 8.257

STID=47 CYID=85 fcid=0011 name=TVA JOHNSONVILLE FOSSIL PLANT Base Yr Grown Controlled Base Year Futur e Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 85 0011 S1

- 01 001 99 10100212 SO2 17.06 17.84 1.784 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 85 0011 S1

- 04 004 99 10100212 SO2 19.85 20.76 2.076 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 85 0011 S1

- 05 005 99 10100212 SO2 24.11 25.22 2.522 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 61.02 63.82 6.382 cyid 61.02 63.82 6.382

STID=47 CYID=145 fcid=0013 name=TVA KINGSTON FOSSIL PLAN T Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Ton s/Day Control EF Control EF ctrltype ctrldes

47 145 0013 S

- 1 001 99 10100202 SO2 12.68 13.26 1.326 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 002 99 10100202 SO2 14.00 14.65 1.465 0.0 0.900 SCRUBBER Scrubber added by LADCO47 145 0013 S

- 1 003 99 10100202 SO2 13.80 14.44 1.444 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 004 99 10100202 SO2 12.24 12.80 1.280 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 1 005 99 10100202 SO2 19.57 20.47 2.047 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 006 99 10100202 SO2 18.92 19.79 1.979 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 007 99 10100202 SO2 21.30 22.28 2.228 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 145 0013 S

- 2 008 99 10100202 SO2 18.54 19.39 1.939 0.0 0.900 SCRUBBER Scrubber added by LA DCO 47 145 0013 S

- 2 009 99 10100202 SO2 20.72 21.68 2.168 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 151.77 158.75 15.875 cyid 151.77 158.75 15.875

STID=47 CYID=165 fcid=0025 name=TVA GALLATIN FOSSIL PLANT

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

47 165 0025 S

- 01 001 99 10100212 SO2 13.91 14.54 1.454 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 0025 S

- 01 002 99 10100212 SO2 14.87 15.56 1.556 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 0025 S

- 02 003 99 10100212 SO2 16.33 17.08 1.708 0.0 0.900 SCRUBBER Scrubber added by LADCO 47 165 0025 S

- 02 004 99 10100212 SO2 20.39 21.32 2.132 0.0 0.900 SCRUBBER Scrubber added by LADCO

--- - -------- -------- ---------- fcid 65.49 68.50 6.850 cyid 65.49 68.50 6.850 stid 488.04 510.46 51.046

STID=54 CYID=39 fcid=0006 name=APPALACHIAN POWER

- KANAWHA RIVER PLANT

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 39 0006 012 001 99 10100202 SO2 19.45 21.18 10.591 0.0 0.500 SCRUBBER Scrubber added by LADCO 54 39 0006 012 002 99 10100202 SO2 20.94 22.80 11.399 0.0 0.500 SCRUBBER Scrubber added by LADCO

---- -------- -------- --- ------- fcid 40.39 43.98 21.990 cyid 40.39 43.98 21.990

STID=54 CYID=51 fcid=0005 name=OHIO POWER

- MITCHELL PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 51 0005 012 001 99 10100202 SO2 17.77 19.36 1.936 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 51 0005 012 002 99 10100202 SO2 5.69 6.19 0.619 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 23.46 25.55 2.555

STID=54 CYID=51 fcid=0006 name=OHIO POWER

- KAMMER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 51 0006 013 001 99 10100203 SO2 47.06 51.25 5.125 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 51 0006 013 002 99 10100203 SO2 47.66 51.90 5.190 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 51 0006 013 003 99 10100203 SO2 41.94 45.67 4.567 0.0 0.900 SCRUBBER Scrubber added by LADCO---- -------- -------- ----------

fcid 136.67 148.82 14.882 cyid 160.13 174.37 17.437

STID=54 CYID=53 fcid=0001 name=APPALACHIAN POWER CO.

- PHILIP SPORN PLANT Base Yr Grown Controlled Base Year Future Year STID C YID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 53 0001 014 001 99 10100202 SO2 18.6 5 20.31 2.031 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 53 0001 014 002 99 10100202 SO2 15.87 17.28 1.728 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 53 0001 014 003 99 10100202 SO2 21.46 23.36 2.336 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 53 0001 014 004 99 10100202 SO2 20.53 22.36 2.236 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 53 0001 005 005 99 10100202 SO2 46.82 50.98 5.098 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 123.33 134.30 13.430

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER

- MOUNTAINEER PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 53 0009 001 001 99 10100202 SO2 11.20 12.19 1.219 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- --- ----- -------- ---------- cyid 134.53 146.49 14.649

STID=54 CYID=79 fcid=0006 name=APPALACH IAN POWER

- JOHN E AMOS PLANT Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

54 79 0006 012 001 99 10100202 SO2 79.63 86.72 8.672 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 79 0006 012 002 99 10100202 SO2 100.33 109.26 10.926 0.0 0.900 SCRUBBER Scrubber added by LADCO 54 79 0006 003 003 99 10100202 SO2 139.38 151.77 15.177 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ---------- fcid 319.35 347.75 34.775 cyid 319.35 347.75 34.775 stid 654.39 712.59 88.851

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

55 79 241007690 S13 B25 01 10100202 SO2 12.75 14.48 3.475 0.0 0.760 SCRUBBER Scrubber added by LADCO 55 79 241007690 S13 B26 01 10100202 SO2 8.68 9.85 2.462 0.0 0.750 SCR UBBER Scrubber added by LADCO 55 79 241007690 S14 B27 01 10100212 SO2 10.97 12.45 2.864 0.0 0.770 SCRUBBER Scrubber added by LADCO 55 79 241007690 S14 B28 01 10100212 SO2 11.28 12.81 2.945 0.0 0.770 SCRUBBER Scrubber added by LADCO

---- -------- -------- ------ ---- fcid 43.68 49.59 11.746 cyid 43.68 49.59 11.746 stid 43.68 49.59 11.746

======== ======== ========== 3099.41 3 381.52 400.481

# Appendix II

Scenario C Controls (CAMD List)1 

### NOx Controls (SCRs , 2007

– 2013) )

Plant Name UniqueID_Final State Name County Capacity MW On Line

Year SCR

Online Year
Chesterfield 3797_B_4 Virginia Chesterfield 166 1960 2013
Chesterfield 3797_B_5 Virginia Chesterfield 310 1964 2012
Scherer 6257_B_3 Georgia Monroe 875 1987 2011
Chesterfield 3797_B_6 Virginia Chesterfield 658 1969 2011
Sandow No 4 6648_B_4 Texas Milam 545 1981 2011 Beech Hollow Power Project 82704_B_1 Pennsylvania Washington 272 2011 2011 Longview Power 82702_B_1 West Virginia Monongalia 695 201 1 2011
Cliffside 2721_B_6 North Carolina Cleveland 800 2011 2011
AES Westover 2526_B_11 New York Broome 22 1943 2010
AES Westover 2526_B_12 New York Broome 22 1943 2010
AES Westover 2526_B_13 New York Broome 84 1951 2010

Iatan 2 6065_B_2 Missouri Plat te 850 2010 2010
Southwest 6195_B_2 Missouri Greene 300 2010 2010 Trimble Station (LGE) 6071_B_2 Kentucky Trimble 732 2010 2010 Elm Road Generating Station 56068_B_2 Wisconsin Milwaukee 615 2010 2010 Clay Boswell 1893_B_3 Minnesota Itasca 350 1973 2009

Asheville 2706_B_2 North Carolina Buncombe 184 1971 2009
Conesville 2840_B_4 Ohio Coshocton 780 1973 2009

Marshall 2727_B_3 North Carolina Catawba 657 1969 2009
St Johns River Power Park 207_B_1 Florida Duval 626 1987 2009
Ghent 1356_B_2 Kentucky Car roll 469 1977 2009
Chalk Point LLC 1571_B_1 Maryland Prince George's 341 1964 2009
Chalk Point LLC 1571_B_2 Maryland Prince George's 342 1965 2009
San Juan 2451_B_2 New Mexico San Juan 320 1973 2009 Big Bend 645_B_BB01 Florida Hillsborough 411 1970 200 9 Big Bend 645_B_BB02 Florida Hillsborough 391 1973 2009 Big Bend 645_B_BB03 Florida Hillsborough 414 1976 2009 Nebraska City Unit 2 6096_B_2 Nebraska Otoe 663 2009 2009
Cross 130_B_4 South Carolina Berkeley 652 2009 2009 Springerville 8223_B_4 Arizon a Apache 400 2009 2009
Sandow 5 82010_B_5 Texas Milam 600 2009 2009
Oak Grove 82011_B_1 Texas Robertson 800 2009 2009
Oak Grove 82011_B_2 Texas Robertson 800 2009 2009
TS Power Plant 82013_B_1 Nevada Eureka 200 2009 2009 Plum Point Energy 82014_B_1 Ar kansas Mississippi 665 2009 2009
Comanche 470_B_3 Colorado Pueblo 750 2009 2009 Elm Road Generating Station 56068_B_1 Wisconsin Milwaukee 615 2009 2009 Two Elk Generating Station 55360_B_1 Wyoming Campbell 300 2009 2009 J K Spruce 7097_B_BLR2 Texas Bex ar 750 2009 2009

Dallman 963_B_34 Illinois Sangamon 200 2009 2009 AES Greenidge LLC 2527_B_4 New York Yates 27 1950 2008 AES Greenidge LLC 2527_B_5 New York Yates 27 1950 2008 AES Greenidge LLC 2527_B_6 New York Yates 106 1953 2008
Charles R Lowman 56 _B_2 Alabama Washington 238 1979 2008
Charles R Lowman 56_B_3 Alabama Washington 238 1980 2008 Barry 3_B_5 Alabama Mobile 750 1971 2008
St Johns River Power Park 207_B_2 Florida Duval 626 1988 2008 Morgantown Generating Plant 1573_B_2 Maryland Charles 620 1971 20082

Bailly 995_B_7 Indiana Porter 160 1962 2008
San Juan 2451_B_1 New Mexico San Juan 322 1976 2008
San Juan 2451_B_3 New Mexico San Juan 495 1979 2008

Weston 4078_B_4 Wisconsin Marathon 519 2008 2008 AES Deepwater 10670_B_AAB001 Texas Harri s 140 1986 2007 La Cygne 1241_B_1 Kansas Linn 724 1973 2007 Morgantown Generating Plant 1573_B_1 Maryland Charles 624 1970 2007 PSEG Hudson Generating Station 2403_B_2 New Jersey Hudson 583 1967 2007
San Juan 2451_B_4 New Mexico San Juan 506 1982 2007 Big Bend 645_B_BB04 Florida Hillsborough 457 1985 2007
Cross 130_B_3 South Carolina Berkeley 620 2007 2007 Wygen II 55479_B_4 Wyoming Campbell 90 2007 2007
Council Bluffs 1082_B_4 Iowa Pottawattamie 790 2007 2007



### SO2 Controls (FGDs, 2007

– 2012)

Plan t Name UniqueID_Final State Name County Capacity MW On Line

Year Scrubber

Online Year

James H Miller Jr 6002_B_1 Alabama Jefferson 684 1978 2011

James H Miller Jr 6002_B_2 Alabama Jefferson 687 1985 2011
James H Miller Jr 6002_B_3 Alabama Jefferson 687 1989 2011

James H Miller Jr 6002_B_4 Alabama Jefferson 688 1991 2011 Cape Fear 2708_B_5 North Carolina Chatham 143 1956 2011 Baldwin Energy Complex 889_B_1 Illinois Randolph 624 1970 2011 Baldwin Energy Complex 889_B_2 Illinois Randolph 629 1973 2011 Baldwin Energy Complex 889_B_3 Illinois Randolph 629 1975 2011
Scherer 6257_B_3 Georgia Monroe 875 1987 2011 Milton R Young 2823_B_B1 North Dakota Oliver 250 1970 2011
W H Sammis 2866_B_6 Ohio Jefferson 630 1969 2011
W H Sammis 2866_B_7 Ohio Jefferson 630 1971 2011 PSEG Hudson Generating Station 2403_B_2 New Jersey Hudson 583 1967 2011
John Sevier 3405_B_1 Tennessee Hawkins 176 1955 2011
John Sevier 3405_B_2 Tennessee Hawkins 176 1955 2011
John Sevier 3405_B_3 Tennessee Hawkins 176 1956 2011
John S evier 3405_B_4 Tennessee Hawkins 176 1957 2011 Beech Hollow Power Project 82704_B_1 Pennsylvania Washington 272 2011 2011 Longview Power 82702_B_1 West Virginia Monongalia 695 2011 2011
Cliffside 2721_B_6 North Carolina Cleveland 800 2011 2011
AES Gree nidge LLC 2527_B_4 New York Yates 27 1950 2010 AES Greenidge LLC 2527_B_5 New York Yates 27 1950 2010 Barry 3_B_5 Alabama Mobile 750 1971 2010
E C Gaston 26_B_5 Alabama Shelby 861 1974 2010

Warrick 6705_B_4 Indiana Warrick 300 1970 2010
Coffeen 861_B_ 01 Illinois Montgomery 340 1965 2010
Coffeen 861_B_02 Illinois Montgomery 560 1972 2010
Cardinal 2828_B_3 Ohio Jefferson 630 1977 2010
Brandon Shores 602_B_1 Maryland Anne Arundel 643 1984 2010
Brandon Shores 602_B_2 Maryland Anne Arundel 643 1991 2010

Monroe 1733_B_4 Michigan Monroe 775 1974 2010
Cliffside 2721_B_5 North Carolina Cleveland 550 1972 2010 Crystal River 628_B_4 Florida Citrus 720 1982 2010

Bowen 703_B_1BLR Georgia Bartow 713 1971 20103

Crist 641_B_6 Florida Escambia 302 1970 2010
Cri st 641_B_7 Florida Escambia 477 1973 2010 Clifty Creek 983_B_1 Indiana Jefferson 217 1955 2010 Clifty Creek 983_B_2 Indiana Jefferson 217 1955 2010 Clifty Creek 983_B_3 Indiana Jefferson 217 1955 2010 Clifty Creek 983_B_4 Indiana Jefferson 217 1955 201 0 Clifty Creek 983_B_5 Indiana Jefferson 217 1955 2010 Clifty Creek 983_B_6 Indiana Jefferson 217 1956 2010
Chalk Point LLC 1571_B_1 Maryland Prince George's 341 1964 2010
Chalk Point LLC 1571_B_2 Maryland Prince George's 342 1965 2010

Dickerson 1572_ B_1 Maryland Montgomery 182 1959 2010

Dickerson 1572_B_2 Maryland Montgomery 182 1960 2010

Dickerson 1572_B_3 Maryland Montgomery 182 1962 2010 R E Burger 2864_B_7 Ohio Belmont 156 1955 2010 R E Burger 2864_B_8 Ohio Belmont 156 1955 2010 Kyger Creek 2 876_B_1 Ohio Gallia 217 1955 2010 Kyger Creek 2876_B_2 Ohio Gallia 217 1955 2010 Kyger Creek 2876_B_3 Ohio Gallia 217 1955 2010 Kyger Creek 2876_B_4 Ohio Gallia 217 1955 2010 Kyger Creek 2876_B_5 Ohio Gallia 217 1955 2010
Cheswick 8226_B_1 Pennsylvani a Allegheny 580 1970 2010 PSEG Mercer Generating Station 2408_B_1 New Jersey Mercer 315 1960 2010 PSEG Mercer Generating Station 2408_B_2 New Jersey Mercer 310 1961 2010
Silver Lake 2008_B_4 Minnesota Olmsted 61 1969 2010 Kingston 3407_B_1 Tennessee Ro ane 135 1954 2010 Kingston 3407_B_2 Tennessee Roane 135 1954 2010 Kingston 3407_B_3 Tennessee Roane 135 1954 2010 Kingston 3407_B_4 Tennessee Roane 135 1954 2010 Kingston 3407_B_5 Tennessee Roane 177 1955 2010 Kingston 3407_B_6 Tennessee Roane 177 195 5 2010 Kingston 3407_B_7 Tennessee Roane 177 1955 2010 Kingston 3407_B_8 Tennessee Roane 177 1955 2010 Kingston 3407_B_9 Tennessee Roane 178 1955 2010
Sioux 2107_B_1 Missouri St. Charles 497 1967 2010
Sioux 2107_B_2 Missouri St. Charles 497 1968 2010
Chesterfield 3797_B_5 Virginia Chesterfield 310 1964 2010

Yorktown 3809_B_1 Virginia York 159 1957 2010
AES Westover 2526_B_11 New York Broome 22 1943 2010
AES Westover 2526_B_12 New York Broome 22 1943 2010
AES Westover 2526_B_13 New York Broome 84 1 951 2010

Iatan 2 6065_B_2 Missouri Platte 850 2010 2010
Southwest 6195_B_2 Missouri Greene 300 2010 2010 Trimble Station (LGE) 6071_B_2 Kentucky Trimble 732 2010 2010 Elm Road Generating Station 56068_B_2 Wisconsin Milwaukee 615 2010 2010
Cholla 113_B _3 Arizona Navajo 271 1980 2009 Mayo 6250_B_1A North Carolina Person 362 1983 2009 Mayo 6250_B_1B North Carolina Person 362 1983 2009
Conesville 2840_B_4 Ohio Coshocton 780 1973 2009
G G Allen 2718_B_1 North Carolina Gaston 162 1957 2009
G G Allen 271 8_B_2 North Carolina Gaston 162 1957 2009
G G Allen 2718_B_3 North Carolina Gaston 260 1959 20094

G G Allen 2718_B_4 North Carolina Gaston 275 1960 2009
G G Allen 2718_B_5 North Carolina Gaston 265 1961 2009 H L Spurlock 6041_B_1 Kentucky Mason 315 1977 2009 Crystal River 628_B_5 Florida Citrus 717 1984 2009 Deerhaven Generating Station 663_B_B2 Florida Alachua 228 1981 2009

Bowen 703_B_2BLR Georgia Bartow 718 1972 2009 Wansley 6052_B_2 Georgia Heard 892 1978 2009

E W Brown 1355_B_1 Kentucky Mercer 94 1957 2009

E W Brown 1355_B_2 Kentucky Mercer 160 1963 2009

E W Brown 1355_B_3 Kentucky Mercer 422 1971 2009
Ghent 1356_B_2 Kentucky Carroll 469 1977 2009 Fayette Power Project 6179_B_1 Texas Fayette 598 1979 2009 Fayette Power Project 6179_B_2 Texa s Fayette 598 1980 2009 Morgantown Generating Plant 1573_B_1 Maryland Charles 624 1970 2009 Morgantown Generating Plant 1573_B_2 Maryland Charles 620 1971 2009

PPL Brunner Island 3140_B_1 Pennsylvania York 321 1961 2009

PPL Brunner Island 3140_B_2 Penn sylvania York 378 1965 2009 Keystone 3136_B_1 Pennsylvania Armstrong 850 1967 2009 Keystone 3136_B_2 Pennsylvania Armstrong 850 1968 2009

Bull Run 3396_B_1 Tennessee Anderson 881 1967 2009 Bay Shore 2878_B_4 Ohio Lucas 215 1968 2009 Hatfields Ferry Po wer Station 3179_B_1 Pennsylvania Greene 530 1969 2009 Hatfields Ferry Power Station 3179_B_2 Pennsylvania Greene 530 1970 2009 Hatfields Ferry Power Station 3179_B_3 Pennsylvania Greene 530 1971 2009 Nebraska City Unit 2 6096_B_2 Nebraska Otoe 663 2009 2009
Cross 130_B_4 South Carolina Berkeley 652 2009 2009 Springerville 8223_B_4 Arizona Apache 400 2009 2009
Sandow 5 82010_B_5 Texas Milam 600 2009 2009
Oak Grove 82011_B_1 Texas Robertson 800 2009 2009
Oak Grove 82011_B_2 Texas Robertson 800 2009 2 009
TS Power Plant 82013_B_1 Nevada Eureka 200 2009 2009 Plum Point Energy 82014_B_1 Arkansas Mississippi 665 2009 2009
Comanche 470_B_3 Colorado Pueblo 750 2009 2009 Elm Road Generating Station 56068_B_1 Wisconsin Milwaukee 615 2009 2009
Two Elk Gene rating Station 55360_B_1 Wyoming Campbell 300 2009 2009 J K Spruce 7097_B_BLR2 Texas Bexar 750 2009 2009

Dallman 963_B_34 Illinois Sangamon 200 2009 2009
Charles R Lowman 56_B_1 Alabama Washington 86 1969 2008

John E Amos 3935_B_1 West Virginia Putnam 800 1971 2008
John E Amos 3935_B_2 West Virginia Putnam 800 1972 2008
Cholla 113_B_4 Arizona Navajo 380 1981 2008

Roxboro 2712_B_1 North Carolina Person 369 1966 2008

Roxboro 2712_B_3A North Carolina Person 341 1973 2008

Roxboro 2712_B_3B North Caroli na Person 341 1973 2008

Miami Fort 2832_B_7 Ohio Hamilton 500 1975 2008

Miami Fort 2832_B_8 Ohio Hamilton 500 1978 2008 Cogentrix Virginia Leasing Corp 10071_B_2A Virginia Portsmouth 19 1988 2008 Cogentrix Virginia Leasing Corp 10071_B_2B Virginia Port smouth 19 1988 2008 Cogentrix Virginia Leasing Corp 10071_B_2C Virginia Portsmouth 19 1988 2008
J M Stuart 2850_B_1 Ohio Adams 585 1971 2008
J M Stuart 2850_B_2 Ohio Adams 597 1970 20085

J M Stuart 2850_B_3 Ohio Adams 597 1972 2008
J M Stuart 2850_B_4 Ohio Adams 597 1974 2008

Monroe 1733_B_3 Michigan Monroe 795 1973 2008
Belews Creek 8042_B_1 North Carolina Stokes 1,115 1974 2008
Belews Creek 8042_B_2 North Carolina Stokes 1,115 1975 2008

Bowen 703_B_3BLR Georgia Bartow 902 1974 2008

Bowen 703_B_4B LR Georgia Bartow 929 1975 2008

Hammond 708_B_1 Georgia Floyd 112 1954 2008

Hammond 708_B_2 Georgia Floyd 112 1954 2008

Hammond 708_B_3 Georgia Floyd 112 1955 2008

Hammond 708_B_4 Georgia Floyd 510 1970 2008 Wansley 6052_B_1 Georgia Heard 891 1976 200 8 Harding Street 990_B_70 Indiana Marion 435 1973 2008 Cogentrix Hopewell 10377_B_1A Virginia Hopewell (city) 18 1987 2008 Cogentrix Hopewell 10377_B_1B Virginia Hopewell (city) 18 1987 2008 Cogentrix Hopewell 10377_B_1C Virginia Hopewell (city) 18 198 7 2008
Ghent 1356_B_4 Kentucky Carroll 478 1984 2008
Council Bluffs 1082_B_3 Iowa Pottawattamie 690 1978 2008

PPL Brunner Island 3140_B_3 Pennsylvania York 749 1969 2008

PPL Montour 3149_B_1 Pennsylvania Montour 774 1972 2008

PPL Montour 3149_B_2 Penn sylvania Montour 766 1973 2008
Comanche 470_B_1 Colorado Pueblo 366 1973 2008
Comanche 470_B_2 Colorado Pueblo 370 1975 2008 Cayuga 1001_B_2 Indiana VermilIon 473 1972 2008 Winyah 6249_B_1 South Carolina Georgetown 295 1975 2008 Winyah 6249_B_2 South Carolina Georgetown 295 1977 2008 Winyah 6249_B_3 South Carolina Georgetown 295 1980 2008
Chesterfield 3797_B_6 Virginia Chesterfield 658 1969 2008 Brayton Point 1619_B_1 Massachusetts Bristo 243 1963 2008 Brayton Point 1619_B_2 Massachusetts Bristo 24 4 1964 2008

Weston 4078_B_4 Wisconsin Marathon 519 2008 2008 Gorgas 8_B_10 Alabama Walker 690 1972 2007 Gorgas 8_B_8 Alabama Walker 165 1956 2007 Gorgas 8_B_9 Alabama Walker 175 1958 2007
John E Amos 3935_B_3 West Virginia Putnam 1,300 1973 2007

Moun taineer 6264_B_1 West Virginia Mason 1,300 1980 2007
Cardinal 2828_B_1 Ohio Jefferson 600 1967 2007
Cardinal 2828_B_2 Ohio Jefferson 600 1967 2007

Roxboro 2712_B_2 North Carolina Person 639 1968 2007

Roxboro 2712_B_4A North Carolina Person 343 1980 200 7

Roxboro 2712_B_4B North Carolina Person 343 1980 2007 Cogentrix Virginia Leasing Corp 10071_B_1A Virginia Portsmouth 19 1988 2007 Cogentrix Virginia Leasing Corp 10071_B_1B Virginia Portsmouth 19 1988 2007 Cogentrix Virginia Leasing Corp 10071_B_1C V irginia Portsmouth 19 1988 2007
Killen Station 6031_B_2 Ohio Adams 615 1982 2007

Marshall 2727_B_2 North Carolina Catawba 378 1966 2007

Marshall 2727_B_3 North Carolina Catawba 657 1969 2007 Cogentrix Hopewell 10377_B_2A Virginia Hopewell (city) 18 198 7 2007 Cogentrix Hopewell 10377_B_2B Virginia Hopewell (city) 18 1987 2007 Cogentrix Hopewell 10377_B_2C Virginia Hopewell (city) 18 1987 2007
Ghent 1356_B_3 Kentucky Carroll 478 1981 20076

Louisa 6664_B_101 Iowa Louisa 700 1983 2007 Allen S King 1915_ B_1 Minnesota Washington 571 1968 2007

Mitchell 3948_B_1 West Virginia Marshall 800 1971 2007
Gibson 6113_B_1 Indiana Gibson 630 1975 2007
Gibson 6113_B_2 Indiana Gibson 628 1975 2007 Winyah 6249_B_4 South Carolina Georgetown 270 1981 2007

Pleasant Pr airie 6170_B_2 Wisconsin Kenosha 617 1985 2007
Cross 130_B_3 South Carolina Berkeley 620 2007 2007 Wygen II 55479_B_4 Wyoming Campbell 90 2007 2007
Council Bluffs 1082_B_4 Iowa Pottawattamie 790 2007 2007



### Assumed BART Facilities and Units

State County Fac ID Facilit y Name Unit ID

MI Bay B2840 CE

- KARN/WEADOCK EU00036

MI Bay B2840 CE

- KARN/WEADOCK EU00037

MI Eaton B4001 LAN. BW&L ERICKSON EU00007

MI Houghton B6553 UP POWER CO / PORTAGE EU00008

MI Huron B2815 DTE

- HARBOR BEACH EU00009

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Moores Park RG00021

MI Marquette B4261 WE

- ENERGIES EU00029

MI Marquette B4261 WE

- ENERGIES EU00030

MI Marq uette B4261 WE

- ENERGIES EU00031

MI Marquette B4261 WE

- ENERGIES EU00032

MI Marquette B4261 WE

- ENERGIES EU00033

MI Monroe B2816 DTE

- MONROE EU00062

MI Monroe B2816 DTE

- MONROE EU00068

MI Monroe B2816 DTE

- MONROE EU00063

MI Monroe B2816 DTE

- MONROE EU00064

MI Ottawa B2835 CE

– CAMPBELL EU00062

MI Ottawa B2835 CE

– CAMPBELL EU00061

MI Saint Clair B2796 DTE

- ST. CLAIR / BELLE RIVER EU00111

MI Saint Clair B6145 DTE

– GREENWOOD EU00009

MI Wayne B2132 WYANDOTTE EU00036

MI Wayne B2185 DET ROIT PLD, MISTERSKY EU00014

MI Wayne B2811 DTE

– TRENTON EU00035

OH Lake 0243160009 CEI., EASTLAKE PLANT B005
OH 0247030013 Orion Power Midwest B012
OH 0285010188 Dept of Public Utilities, City of Orrville B001
OH 0285010188 Dept of Public Utilities, City of Orrville B004
OH 0448020006 Toledo Edison Co., Bay Shore B003
OH 0448020006 Toledo Edison Co., Bay Shor e B004
OH 0616000000 Conesville Power Plant B003
OH 0616000000 Conesville Power Plant B004
OH 0616000000 Conesville Power Pl ant B007
OH 0641050002 Cardinal Power Pl ant B001
OH 0641050002 Cardinal Power Pl ant B0027

OH 0641050002 Cardinal Power Plant B003
OH 0641050002 Cardinal Power Pl ant B004
OH 0641050002 Cardinal Power Pl ant B008
OH 0641050002 Cardinal Power P l ant B009
OH 0641050002 Cardinal Power Plant B009
OH Jefferson 0641160017 W. H. SAMMIS PLANT B011
OH Jefferson 0641160017 W. H. SAMMIS PLANT B012
OH Jefferson 0641160017 W. H. SAMMIS PLANT B013
OH 0684000000 Muskingum River Power Plant B006
OH Ada ms 0701000007 DP&L, J.M. Stuart Generating Station B001
OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B002
OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B003
OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B004
OH 070100 0060 DP&L, Killen Station B001
OH 1409040243 City of Hamilton Dept of Public Utilities B002
OH 1409040243 City of Hamilton Dept of Public Utilities B008
OH 1409040243 City of Hamilton Dept of Public Utilities B009
OH 1413100008 CG&E W. C. BECKJORD B005
OH 1413100008 CG&E W. C. BECKJORD B006
OH 1431350093 CG&E MIAMI FORT STATION B015

IL Peoria 856 Ameren

– Edwards 2

IL Sangamon 963 CWLP

– Dallman 31

IL Sangamon 963 CWLP

– Dallman 32

IL Christian 876 Dominion

– Kincaid 1

IL Christian 87 6 Dominion

– Kincaid 2

WI COLUMBIA 111003090 Alliant En ergy

- Columbia Generating B20

WI COLUMBIA 111003090 Alliant En ergy

- Columbia Generating B21

WI COLUMBIA 111003090 Alliant En ergy

- Columbia Generating B22

WI GRANT 122014530 Alliant Energy, Nelso n Dewey B22 (unit 2)

WI MILWAUKEE 241007690 We Energies

- Oak Creek Station B26 (Unit 6)

WI MILWAUKEE 241007690 We Energies

- Oak Creek Station B27 (Unit 7)

WI MILWAUKEE 241007690 We Energies

- Oak Creek Station B28

WI MILWAUKEE 241007800 We Energies

- Valley Station B21

WI MILWAUKEE 241007800 We Energies

- Valley Station B23

WI MILWAUKEE 241007800 We Energies

- Valley Station B24

WI BRO WN 405031990 WI Public Service Corp

- JP Pulliam B27 (unit 8)

WI SHEBOYGAN 460033090 WP & L Allian t Energy

– Edgewater B24

W I BUFFALO 606034110 Dairyland Power Coop Alma Station (J.P. Madgett boilers) B25 (+B26)

WI BUFFALO 606034110 Dairyland Power Coop Alma Station B27

WI VERNON 663020930 Dairyland Power Coop Genoa Station B20

WI VERNON 663020930 Dairyland Power Coop Genoa Station B25

IN Porter 995 Bailly 7

IN Porter 995 Bailly 8

IN Vermillion 1001 Cayuga 1

IN Vermillion 1001 Cayuga 2

IN Montgomery 1024 Crawfordsville 6

IN Warrick 1012 Culley 28

IN Warrick 1012 Culley 3

IN Gibson 6113 Gibson 1

IN Gibson 6113 Gi bson 2

IN Cass 1032 Logansport 6

IN Sullivan 6213 Merom 1

IN Sullivan 6213 Merom 2

IN LaPorte 997 Michigan City 12

IN Lake 996 Mitchell 11

IN Pike 994 Petersburg 1

IN Pike 994 Petersburg 2

IN Pike 994 Petersburg 3

IN Pike 1043 Ratts 1

IN Pike 104 3 Ratts 2

IN Wayne 7335 RPL 2

IN Jasper 6085 Schahfer 14

IN Jasper 6085 Schahfer 15

IN Lake 981 Stateline 4

IN Marion 990 Stout 70

IN Dearborn 988 Tanners Creek 4

IN Vigo 1010 Wabash River 6

IN Warrick 6705 Warrick 4

IA 07

- 02

- 005 Cedar Fal ls Utilities Unit #7 (EU10.1A)

IA 88

- 01

- 004 Central Iowa Power Cooperative (CIPCO)

– Summit Lake Station Comb Turbines (EU 1 /1G , EU2 /2 G)

IA 70

- 08

- 003 Central Iowa Power Cooperative (CIPCO)

– Fair Station Unit # 2 (EU 2 & EU 2G)

IA 85

- 01

- 006 City of Am es

- Steam Electric Plant Boiler #7 (EU 2)

IA 29

- 01

- 013 Interstate Power & Light

- Burlington Main Plant Boiler.

IA 03

- 03

- 001 Interstate Power & Light

- Lansing Boiler #4. Sixteen units in total.

IA 23

- 01

- 014 Interstate Power & Light

- ML Kapp Boiler #2. Six units in total.

IA 57

- 01

- 042 Interstate Power & Light

- Prairie Creek Boiler #4. Fourteen units in total.

IA 78

- 01

- 026 MidAmerican Energy Co

- Council Bluffs Boiler #3 (EU003)

IA 97

- 04

- 010 MidAmerican Energy Co

- Neal North Boilers #1

- 3 (EU0 01

- EU003)

IA 97

- 04

- 011 MidAmerican Energy Co

- Neal South Boiler #4 (EU003)

IA 70

- 01

- 011 Muscatine Power and Water Boiler #8

IA 63

- 02

- 005 Pella Municipal Power Plant Boilers #6

- 8

MN 2709900001 Austin Utilities NE Power Station EU001

MN 27 13700027 Hibbing Public Utilities EU003

MN 2703100001 MN Power, Taconite Harbor EU003

MN 2706100004 MN Power, Boswell Energy Center EU003

MN 2701500010 New Ulm Public Utilities EU003

- Boiler 4

MN 2711100002 Otter Tail Power Hoot Lake EU003

MN 27 10900011 Rochester Public Utilities, Silver Lake EU003

MN 2710900011 Rochester Public Utilities, Silver Lake EU004

MN 2713700028 Virginia Public Utilities EU003

- Boiler 9

MN 2714100004 Xcel Energy, Sherco EU001, EU002

MN 2716300005 Xcel Energy, Allen S King EU001

- Boiler 19

MN 2705300015 Xcel Energy, Riverside EU003

- Boiler 8

MO 290710003 Ameren

- Labadie B1, B2, B3, B4
MO 291830001 Ameren

- Sioux B1, B2
MO 290990016 Ameren

- Rush Island B1, B2
MO 290950031 Auila

- Sibley B3

- 5C

MO 291430004 Assoc. Electric

- New Madrid B1(EP

- 01), B2 (EP

- 02)
MO 290770039 City Utilities Springfield

- Southwest B1 (E09)
MO 290770005 City Utilities Springfield

- James River EO7, EO8
MO 290970001 Empire Distric Electric

- Asbury B7
MO 29083 0001 KC Power and Light

- Montrose EP08
MO 290210004 Aqula

- Lake Road EP06
MO 291750001 Assoc. Electric

- Thomas Hill EP01, EP02
MO 290950021 Trigen

- Kansas City B1A
MO 290190002 City of Columbia Municipal Power Plant EP02
MO 291950010 Marshall Munipal Utilities EP05
MO 290950050 Independence Power & Light

- Blue Valley B3 (EP05)

WV 3943 Fort Martin

WV 6004 Pleasants

WV 3948 Mitchell

WV 3935 Amos

WV 6264 Mountaineer

WV 3944 Harrison

TN 3396 TVA Bull Run

TN 3399 TVA Cumberland

KY 1363 Cane Run

KY 1364 Mill Creek

KY 6041 Spurlock

KY 1384 John Sherman Cooper

KY 1353 Big Sandy

KY 1356 Ghent

KY 1355 Brown

KY 1374 Owensboro Municipal

KY 1372 Henderson Municipal

KY 1378 Paradise

KY 1361 Coleman

KY 1382 Reid/Henderson 2

KY 6639 Green

# APPENDIX E

Public Participation

### Public Notice Ohio Environmental Protection AgencyRedesignation and Maintenance Plan for the Ohio Portion of the CincinnatiHamilton, OH-KY-IN Annual PM 2.5 

### Nonattainment Area

Butler, Clermont, Hamilton, and Warren Counties

Notice is hereby given that the Director of the Ohio Environmental Protection Agency, (Ohio EPA) is requesting that the United States Environment al Protection Agency (U.S. EPA) revise the current air quality designation for the Ohio portion of the CincinnatiHamilton area, including Butler, Clermont, Ha milton, and Warren counties to attainment with respect to the 1997 annual PM 2.5 

### national ambient air quality standard (NAAQS). Air quality monitoring data collected bet ween 2007 and 2009 in the region demonstrate attainment of the NAAQS and t here is evidence that the im proved air quality is due to permanent, enforceable emission reductions. In addition, existing requirements are sufficient to maintain the 1997 annual PM 2.5 

### standard in this area at least ten years into the future.

Computer models show that existing stat e and federal emission reduction requirements are sufficient to attain and maintain t he NAAQS in the Cincinnati-Hamilton area. Therefore, Ohio EPA proposes to utilize ex isting emission inventory information and projections of future emissions as the dem onstration of the ability to maintain the NAAQS in the Cincinnati-Ham ilton area in the future.

The Cincinnati-Hamilton area is currently designated as nonattainment for the 1997 annual PM 2.5 

### standard. As part of an acceptable maintenance plan, Ohio EPA is required to develop a contingency plan to prov ide for additional emission reductions if a violation of the NAAQS is monitored afte r the area has been redes ignated. The plan which Ohio EPA is proposing to USEPA as part of this redesignation contains reductions which will help alleviate the ambi ent problem until a re vised SIP can be developed.

The State of Ohio proposes to:

1. Request the U.S. EPA redesignate the Cincinnati-Hamilton area to attainment with respect to the 1997 annual PM 2.5 

### NAAQS and revise the maintenance plan. This request will document t hat existing enforceable control measures are responsible for the observed improvement in air quality.

2. Designate existing controls as sufficient to maintain the NAAQS into the future.

3. Commit to the proposed contingency plan.

These actions must be noticed to allo w public comment and to satisfy USEPA requirements for public involvement in SIP re lated activities. This notice addresses Ohio

### EPA’s reliance on the emission projections as evidence of attainment and maintenance and the commitment to instit ute contingency measures if ambient exceedances or violations trigger the contingency plan r equirements. Written comments will be received on or before November 29, 2010 at the following address: E-mail: Carolina.Prado@epa.state.oh.us

Mailing address: Carolina Prado Ohio Environmental Protection Agency, DAPC Lazarus Government Center P.O. Box 1049 Columbus, Ohio 43216-1049 Phone: (614)- 728-1743

Pursuant to Section 119.03 of the Ohio Revised Code, a public hearing on this redesignation request will be conducted as follows : November 29, 2010 at 2:30 P.M., at Hamilton County Department of Environmental Services loca ted at 250 William Howard Taft Road, Cincinnati, Ohio.

All interested persons are entitled to att end or be represented at the hearings and give written or oral comments on these changes. All oral comments presented at the hearing, and all written statements submitted at the hear ing or to the above address by the close of business on November 30, 2010 will be considered by Ohio EPA prior to final action on this redesignat ion. Written statements subm itted after November 30, 2010 may be considered as time and circumst ances permit, but will not be part of the official record of the hearing.

This redesignation and maintenance request is available on Ohio EPA DAPC’s Web page for electronic downloading. The URL is: http://www.epa.ohio.gov/dapc/SIP/annual.aspx . Questions regarding accessing the web site should be directed to Arunee Niamlar b at 614-728-1342; other questions or comments about this document should be dire cted to either Caro lina Prado, (614)-644- 2310, Carolina.Prado@epa.state.oh.us or Jennifer Hunter at (614) 644-3696, Jennifer.Hunter@epa.state.oh.us or mailed to Carolina Prado or Jennifer Hunter at the above address.

### 1



### 2

3 

### ENVIRONMENTAL PROTECTION AGENCY

PUBLIC HEARING 1

4 IN THE MATTER OF:

5 OHIO EPA REQUESTS

6 RECOGNITION OF IMPROVED

7 AIR QUALITY IN CINCINNATI

8



### 9



### 10 PUBLIC HEARING HELD AT THE

11 HAMILTON COUNTY DEPARTMENT OF ENVIRONMENTAL

12 SERVICES, 250 WILLIAM HOWARD TAFT ROAD, CINCINNATI,

13 OHIO, ON MONDAY, NOVEMBER 29, 2010, BEGINNING AT

14 2:37 P.M., REPORTED BY MARY A. SCHWEINHAGEN, RPR,

15 RMR, AND CRR.

16

17

18

19

20

21

22



### 23

24 

# DEC 0::; 

# 2010
25

--**i~**



### WWW.BRITTONANDASSOCIATES.COM DAYTON

- (937) 228-3370 CINCINNATI

- (513) 651-3370

### 1



### 2 McCarron. 2



### MS. MCCARRON: My name is Mary

I am the public involvement coordinator,

3 and I'll be presiding over the hearing today.

4 Thank you for taking the time to

5 

### attend this hearing. It's to gather any comments

6 from interested parties regarding Ohio EPA's

7 proposed action.

8 Ohio EPA is planning to ask U.S.

9 EPA to revise the current air quality designation

10 for the Ohio portion of the Cincinnati-Hamilton

11 area to attainment with respect to the 1997 annual

12 PM2.5 national ambient air quality standard. The

13 proposed redesignation request affeots Butler,

14 Clermont, Hamilton, and Warren oounties.

15 Comments oan be submitted until

16 the olose of business on November 30th, 2010, to

17 Carolina Prado at Carolina.prado@epa.ohio.gov.

18 All interested persons are

19 entitled to attend or to be represented and to

20 present oral and/or written oomments oonoerning the

21 proposed aotion. All written and oral oomments

22 reoeived as part of the offioial record will be

23 oonsidered by the direotor of Ohio EPA.

24 To be inoluded in the offioial

25 reoord, written oomments must be reoeived, as I

WWW.BRITTONANDASSOCIATES.COM DAYTON

- (937) 228-3370 CINCINNATI

- (513) 651-3370

### 1 

### said earlier, by November 30th, 2010. These 3



### 2 comments can be filed with me today or e-mai1ed to

3 the address mentioned earlier. All written

4 comments submitted for the record receive the same

5 consideration as any oral testimony given today.

6 Written comments submitted after

7 November 30th may be considered as time and

8 circumstances permit but won't be part of the

9 official record.

10 At this point I am going to read

11 the names of the folks who have registered at the

12 hearing today, and if you don't want to speak just

13 go ahead and say pass.

14 The first person who registered is

15 Dick Brewer.

16 MR. DICK BREWER: Pass.

17

18

19 MS. MCCARRON: And Andy Reser?

MR. ANDY RESER: Pass.

MS. MCCARRON: I think at this

20 point there is nobody else who is signed in to

21 present testimony, and so we will go off the record

22 until 3 p.m.

23 (WHEREUPON, the parties went off

24 the record.)

25 MS. MCCARRON: At this time is

WWW.BRITTONANDASSOCIATES.COM DAYTON

- (937) 228-3370 CINCINNATI

- (513) 651-3370

### 4



### 1 there anybody else who would wish to testify for

2 the hearing? Okay. Seeing none, we are going to

3 go ahead and close out this hearing.

4 I remind you that written comments

5 can be submitted through November 30th.

6 

### The time is now 3:06, and this

7 hearing is adjourned.

8

9



### 10

11



### 12

13

14



### 15

16

17

18

19

20

21

22

23

24



### 25 (Hearing adjourned at 3:06 p.m.)

WWW.BRITTONANDASSOCIATES.COM DAYTON

- (937) 228-3370 CINCINNATI

- (513) 651-3370

### 1



### 2 C E R T I F I CAT E 5



### 3 I, Mary A. Schwe1nhaqen, a Req1stered

4 Mer1t Reporter and Cert1f1ed Realt1me Reporter do

5 hereby cert1fy that the foreqo1nq 1S a full, true

6 and correct transcr1pt of my notes taken 1n the

7 above-styled case and thereafter transcr1bed by me.

8

9



### 10

11



### 12

13

14

15

16

17

18

19

20

21

22

23

24



### 25

WWW.BRITTONANDASSOCIATES.COM DAYTON

- (937) 228-3370 CINCINNATI

- (513) 651-3370

### Division of Air Pollution Control

Response to Comments PM 2.5 

### redesignation request for the 1997 PM 2.5 

### Annual Standard for the Cincinnati-Hamilton Area

Agency Contact for this Package

Division Contact: (Carolina Prado, Division of Air Po llution Control, 614-644-2310, Carolina.Prado@epa.state.oh.us)

Ohio EPA held a public hearing in Cincinnati, OH on November 29, 2010, regarding the Redesignation Request and Maintenance Plan for the Cincinnati-Hamilton PM 2.5 

### Nonattainment Area. This document summarizes the comments and questions received at the public hearing and during the asso ciated comment period, which ended on November 30, 2010. Ohio EPA reviewed an d considered all comments received during the public comment period.

By law, Ohio EPA has authority to consider specific issues related to protection of the environment and public health.

In an effort to help you review this doc ument, the questions are grouped by topic and organized in a consistent format. The name of the commenter follo ws the comment in parentheses.

General/Overall Concerns

Comment 1: The final submission shoul d include electronic copies of the RunSpec files, the user-supplied input database(s), and the output databases(s) produced for the analysis. The inclusion of post-processing scripts in Sect ion 4.6 and 5 is very helpful (Patricia Morris, U. S. EPA - Region 5).

Response 1: The RunSpec files, input and output databases, SQL postprocessing scripts, and the revised documentation have been saved to CDs and 2 copies will be provided to U.S. EPA.

Comment 2: Table 3 in the unnumbere d section at the beginning of the document includes a summary of the RunSpec parameters used in this analysis. The Appendix, which starts on numbered page 11, includes a mo re detailed description of the RunSpec parameters and u ser inputs. There are some discrepancies between Table 3 and the Attachment text

### which are listed in order below (Patricia Morris, U.S. EPA – Region 5).

Response 2: The text discrepancies between Table 3 and Appendix C have been corrected as indicated.

Comment 3: The default database version listed in Table 3 (“MOVES default database 2010615111524” ) does not exist. The documentation needs to accurately refer to the version of the database used (Patricia Morr is, U.S. EPA – Region 5).

Response 3: We have correctly identified the version in the final document.

Comment 4: For calculating annual PM 2.5 

### emissions, OKI used a single daily temperature profile that was based on annual average temperatures (Table 3 and Section 1.3). PM emissions in MOVES are sensitive to temperature, and the use of a single day temperature profile to repr esent the entire year may not accurately reflect the impact of seasonal temperature changes on PM emissions form motor vehicles. For a PM inventory that is going to be used for air quality modeling in an attainment demonstrati on, seasonal, monthly, or even daily temperatures may be needed, depending on the detailed circumstances of the analysis. Given that this analysis is not being used for an attainment demonstration, the use of an average annual temperature profile is acceptable, but approval of this approach should be taken as a general approval of the use of a single daily temperature profile for all uses (Patricia Morris, U.S. EPA - Region 5).

Response 4: It is our understanding that the use of one set of annual averages is acceptable for developing a motor vehicle emissions budget and for transportation conformity. This methodology is similar to what OKI used for MOBILE. We agree that MOVES assumptions used for different state implement ation purposes may need to vary. OKI will be experimenting with a four season approach to annual emissions. When MOVES is used for attainment demonstrations purposes we will discuss further the appropriate assumptions to use with all parties involved.

Comment 5: Section 1.3 of the A ppendix says, “Ozone season daily analysis is done using July temperatures.” What is the purpose of this analysis in th e context of this submission?

### There doesn’t seem to be any ot her reference to this in the document (Patricia Morris, U.S. EPA - Region 5).

Response 5: OKI's MOVES runs generated additional information (i.e. July emission rates) that was not r equired for this PM2.5 SIP. Document references to an ozone season analysis and July temperatures have been deleted.

Comment 6: Table 3 says that all roads types including off-network were included. Section 1.6 says, “ There are five types of road types available in MOVES, since OKI travel demand model could not predict the VMT in pa rking lots (off network) only four road types is used to assign activity for vehicles starts and for evap emissions while veh icles are parked. It does not apply to VMT parking lots. Given that start emissions were calculated, the entry in Table 3 seems to be the correct one, but the document should be clar ified (Patricia Morris, U.S. EPA - Region 5).

Response 6: We have included the appropriate clarification in the final document.

Comment 7: Table 3 says that all PM2. 5 categories were selected in the Pollutants and Processes panel, but Section 1.7 says that "total PM2.5 emi ssions are selected in a ddition of (sic) sulfur dioxide." If that is accurate , the inventory would not include brake-wear and tire-wear emi ssions which are calculated separately from "Total PM2.5" which only includes exhaust emissions. Given that the inve ntories include brake and tire wear, Table 3 seems to have the correct information, but the documentation should be clarifie d (Patricia Morris, U.S. EPA - Region 5).

Response 7: We have included the appropriate clarification in the final document.

Comment 8: Table 3 and Section 2.2 i ndicate that for the Ohio counties, local populations were used for all source types except 41, 61, and 62. However, in the Ke ntucky counties, default data were also used for the light truck categories (31 - passenger trucks and 32- light commercial trucks). We are concerned about the use of default data for the light truck categories. Our technical guidance is very clear on the importance of

### local information for source type population. While it may be reasonable to use national defaults for some of the heavy duty categories as was done in the Ohio counties, OKI should be able to develop lo cal data for the light duty categories. If Kentucky has local data for passenger cars, they should also have local da ta for light trucks (Patricia Morris, U.S. EPA - Region 5).

Response 8: The Kentucky Transportation Cabi net (KYTC) decoded VINs and provided the results by HPMS source type to OKI. Inconsistencies were found in the results and could not be corrected in time for OKI's an alysis. It was decided that a combination of the KYTC VI N data and MOVES default data would provide the most accurate re sults. KYTC continues to try to correct the VIN decoding errors.

End of comments