# · .. Appendix A·1· 

# Air Quality System (AQS) DataUser ID: GYE UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

DESIGN VALUE REPORT Report Request ID: 883626 Report Code: AMP480 GEOGRAPHIC SELECTIONS Jun. 21, 2011

Tribal

Code State County Site Parameter poe City 54 051 1002 54 069 0010 PROTOCOL SELECTIONS AQCR UAR CBSA eSA EPA Region Method Duration Begin Date End Date

Parameter Classification DESIGN VALUE Parameter 88101 Method DUration

SELECTED OPTIONS Option Type USER SITE METADATA

MERGE PDF FILES QUARTERLY DATA IN WORKFILE WORKFILE DELIMITER SINGLE EVENT PROCESSING GLOBAL DATES Option Value STREET ADDRESS YES NO
EXCLUDE REGIONALLY CONCURRED EVENTS APPLICABLE STANDARDS Start Date 2010 End Date 2010

Selection Criteria Page 1 Standard Description PM25 24-hour 2006 PM25 Annual 2006UNITED STATES ENVIRONMENTAL PROTECTION AGENCY AIR QUALITY SYSTEM PRELIMINARY DESIGN VALUE REPORT

Notes: 1. Warning: Computed design values are a snapshot of the data at the time the report was run (may not be all data for year). 2. Annual Values not meeting completeness criteria are marked with an asterisk ('*'). Page 1 of 2 Report Date: Jun. 21, 2011UNITED STATES ENVIRONMENTAL PROTECTION AGENCY AIR QUALITY SYSTEM PRELIMINARY DESIGN VALUE REPORT Report Date: Jun. 21, 2011

Design Value Year: 2010 REPORT EXCLUDES MEASOREMENTS WITH REGIONALLY CONCURRED EVENT FLAGS.

11.5 State

2009 West Virginia

y 12.4 y 26 I 24-Hour I Annual IDesign Valid IDesign Valid**I~** !ill!:.. I .!lliL.. 29 Y 13.1 Y y
y 12.8 2008

27.2 4 121 !! I I Credo Compo 98th Wtd. Ce..£!:.:..1 Days Qrtrs Perctil

!:! 361 4 29.1 13.1 Name:

Wtd.

12.2
23.2 4 119 N 12.9 Site ID / STREET ADDRESS 54-051-1002 MOUNDSVILLE 54-069-0010 WHEELING

- WARWOOD WATER

Notes: 1. Warning: Computed design values are a snapshot of the data at the time the report was run (may not be all data for year). 2. Annual Values not meeting completeness criteria are marked with an asterisk ('*'). Page 2 of 2

# .Appendix**A~2** 

# .

.S'LAMS 

# letter

# IEnvironmental 

## 1Protection Agency

. John R. Kasich, Governor

MaryTaylor,Lt. Governor ScottJ. Nally, Director 

### CERTIFIED MAIL

March 10, 2011 Cheryl L. Newton, Director Air and Radiation Division U.S.EPA, Region V 77 West Jackson Boulevard Chicago, Illinois 60604

RE: 2010 SLAMS**P~** 

### .• and Ozone Data Certification Dear Ms. Newton: Please find enclosed our SLAMS Report (AMP-450, AMP-450NC and AMP2£5) for calendar year 2010 as required in 40 CFR, 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**p~.,** 

### 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,

Robert Hodanbosi Chief, Division of Air pollution Control Enclosure

50 West Town street. SUtte 700 P.O. Box 1049 CoIumbus,OH 43216-1049 .614 16443020 614 16443184 (fax) www,epa.ohio.gov

# Appendix B-1 Ohio 2005 SIP Base Year

. Inventory Discussion·

## 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 ofAir Pollution Control Emissions Inventory Unit February 2008

1

## Table of Contents Section Introduction , 3 1.0 Point Sources 4 2.0 Area Sources 8 3.0 Non Road Sources 15 4.0 On Road Sources 17
5.0 MAR Sources .43

2-1 Categories included in the 2005 area source Inventory 

### 8 2-2 Emission Factors used forWood Burners included in area sources 11 3-1 NMIM NCD Tables for SpecificYears 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 SummaryTable of MPOs by County .40 5-1 Numberofoperations and LTOs for 2005 45 5-2 EDMS Aircraft Emissions 50 5-3 Fleet Emission FactorCategories 51 5-4 Pollutant by County (Sample) 54 Figure
1 Speed Comparison Graphs 27

2

## 2005 Base Year PM2.5 SIP Inventoryfor Ohio Introduction
The State of Ohio has a number of counties with air quality data showing nonattainmentforthe following PM2.5 standard:

• Annual Standard

# =15.0 ug/m3 The Clean Air Act Amendments (CAAA) requires all states to revise and submit State Implementation Plans (SIP) for areas which are classified as non-attainment ofthe 1997 Fine Particle (PM2.5) National Ambient Air Quality Standards (NAAQS). The Federal Register (Vol. 72, No. 79/Wednesday, April 25, 2007) provides the emissions inventory rules and regulations for the PM2
.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 PM2.5 standards, a new attainment demonstration SIP will be necessary. A key element in the overall SIP planning process is the need for an updated emissions inventory. This document presents the 2005 Base Year Particulate SIP Emissions Inventory for Ohio as required bythe CAAA. It includes emissions for point, area, on-road mobile and non-road mobile forthe State of Ohio. This technical report documents the procedures and the methodologies that were used in the development of daily emissions for all counties in Ohio. This report describes the following: 1. Identification of stationary and mobile sources included in the inventory; 

### 2. Sources of data, and data collection methods used in the development ofthe inventory; 3. Methods and procedures used to estimate emissions; and 4. Assumptions considered in the development of the emissions inventories. The intent of this report is to describe 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 Emission Modeling System (EMS) to generate SummerWeekday emissions forVOC and NOx.

3

### SECTION 1 POINT SOURCES Emissions and source specific data for point sources are collected for the 2005 baseyear SIP inventory by the Ohio Environmental 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 ofAir Pollution Control (DAPC), to assist the regulated community in preparing 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 emissions fee/inventory process conducted by Ohio EPA and include emissions, process rates, operating schedules, emissions control data and other relevant information. The STARShip files are electronically transferred to the DAPC and stored into the Division's Oracle database, STARS. The files 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 Emission Inventory (NEI) database format in version 3.0. The files are quality assured again using the United States Environmental Protection Agency's (U.S.EPA) QAlQC software for format and content. The data is finally submitted to LADCO for emissions processing through the Emissions Modeling System. The State provided inventory for Electric Generating Units (EGU) is replaced with the Federal EGU inventory. The EGU inventory is compiled by U.S. EPA's Acid Rain Program. It is based on facility reported emissions as measured by continuous emissions monitors. In conclusion, the final point source inventory is a hybrid of the federal EGU inventoryand the state provided non-EGU units. A major distinction typically made in emissions inventories is that between point and area sources. In this inventory, point sources are sources for which individual records are maintained forthat 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 the area source inventory is provided in Section 2. The point source inventory described herein is considered to be the most current and accurate source ofemissions 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 orvents are termed fugitive emissions and are discussed in Section 1.2.

4

### 1.1.1 Source Identification 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 facility-reported actual 2005 emissions. 

### 1.1.2 Non-reactive VOC Emissions Adjustments This section is primarily applicable for VOC pollutants. Sources are required to identify emissions of photochemically non-reactive Volatile Organic Compounds (VOC.) Based upon this information, those emissions have been specifically excluded from the 2005 base line inventory in accordance with U.S. EPA's "Recommended Policy on the Control of Volatile Organic Compounds." 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-141 b)
• 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)

5• Pentafluoropropane (HFC-245fa)
• Pentafluorobutane (HFC-365mfc)
• Parachlorobenzotrifluoride (PCBTF)
• Methoxybutane
• Nonaflourobutane
• Heptafluoropropane «CF 3hCFCF20CH3) • Heptafluoropropane «CF3)CFCF20C2H5) • Perchloroethylene
• Cyclic, branched or linearcompletely methylated siloxanes
• Methyl acetate
• Volatile methyl siloxanes

• Acetone


### 1.1.3 Emissions Estimation Methodologies Since source reported actual annual emissions 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 spatial profiles to the annual emissions to calculate weekday emissions rates. The final point source inventory is split into two separate reports, the Electric Generating Units (EGU) which is the U.S. EPA inventoryfor electric generating units and 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 required 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 available for fugitive sources. However, since these emissions are now electronically reported in the State's ORACLE database, STARS, these emissions can be classified as point sources.



### 1.3 References Getting Started: Emissions Inventory Methods for PM2.5 U.S. Environmental Protection Agency, Research Triangle Park, NC, September, 1999. Emissions Inventory Guidance for Implementation of Ozone and Particulate Matter National Ambient Air Qaulitv Standards (NAAQS) and Regional Haze Regulations, Office of Air Quality Planning & Standards Research, Triangle Park, NC. November 2005. Compilation of Air Pollution Emission Factors, Fourth Edition and Supplements, AP42. U.S. Environmental Protection Agency, Research Triangle Park, NC, September 1985.

6

### Preparing 2002 Regional PM2.5 Emissions QAQPS PM Inventory Conference Inventory Conference San Diego, 2003. Documentation for the 2002 Electric Generating Unit National Emissions Inventory (NEI). Eastern research group, Inc., 1600 Perimeter Park Drive, Morrisville, NC 27560 and E.H. Pechan and Associates, Inc., 5528-8 Hempstead Way

7

### SECTION 2
AREA SOURCES Area sources are sources which are typically small, individual, 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 using 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 largely based on Ohio's data availability. Data which was not available on a county-level is estimated by assigning a percentage ofthe state's total activity to each county based on the state's population or employment information. If Ohio county specific activity data is available through Ohio EPA or other State Agencies, that data is used ratherthan allocating activity by percentage. Table 2-1 lists the sources which emit PM2
.5, NOxand S02 along with the respective EFs used to calculate each pollutant.

Table 2-1 Categories in the 2005 PM2-5 SIP Area Source inventory

Area Source NOx PM2.5 S02 Section Commercial Natural 94Ib/MMSCF 7.6 Ib/MMSCF 0.6 Ib/MMSCF 2.1 Gas Combustion Industrial Distillate Oil 20 Ib/E3gal fuel 0.25 Ib/E3gal fuel 42.6 Ib/E3gal fuel 2.2 Combustion Industrial Residual Oil 55 Ib/E3gal fuel 4.67 Ib/E3gal fuel 157 Ib/E3gal fuel 2.2 Combustion Industrial Natural Gas 94Ib/MMSCF 7.6 Ib/MMSCF 0.6 Ib/MMSCF 2.2 Combustion Residential Coal 9.1 LblTon Coal 3.8 LblTon Coal 31 LblTon Coal 2.3 Combustion Residential Distillate 18 Ib/E3gal fuel 0.83Ib/E3gal fuel 42.6 Ib/E3gal fuel 2.3 Oil Combustion Residential Natural 94Ib/MMSCF 7.6 Ib/MMSCF 0.6 Ib/MMSCF 2.3 Gas Combustion Residential LPG 13 Ib/E3gal fuel 0.17 Ib/E3gal fuel 0.1 Ib/E3gal fuel 2.3 Combustion Human Cremation 1.01 E+01 IblTon 0.06371blTon NA 2.4 cremated cremated Structure Fires 1.4 LblTon 10.8 LblTon NA 2.5 burned burned OutdoorWood Boilers 2.8 LblTon 2.76E+1 LblTon 4 E-1 LblTon 2.6

8

### Residential Wood Combustion Non-Certified 2.80E+OO 

### Ibrron 3.06E+01 

### Ibrron 4.00E-01 

### Ibrron 2.3 

### Non-Catalytic 2.80E+OO 

### Ibrron 1.96E+01 

### Ibrron 4.00E-01 

### Ibrron Catalytic 2.00E+OO 

### Ibrron 2.04E+01 

### Ibrron 4.00E-01 

### Ibrron

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 population4

. Emissions factors are given in table 2-1. The area source emissions are calculated based 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 population4

. The area source NOx emissions are calculated and adjusted by subtracting the emissions due to point sources. 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 factors are given in table 2-1. S02 emissions were calculated using EF 42.6 Lb/1000 Gal. PM1Q and PM2
.5 

### emissions are calculated using 1Lb/1000 Gal and 0.25 Lb/1000 Gal respectively. All Factors are obtained from AP_4219
Industrial Residual Oil Combustion (SCC 2102005000) 

### Ohio's fuel consumption is apportioned per county based on the county's population4

. The area source NOx emissions are calculated and adjusted by subtracting the emissions due to point sources. 54,652 thousand gallons14 are consumed in 2005 and a heating value of 140 MMBTU/1000 Gal is used. The S02 emissions are calculated using EF 157 Lb/1000 Gal. PM10 and PM2
. 5 

### emissionsare calculated using 7.17 Lb/1000 Gal and 4.67 Lb/1000 Gal respectively. All factors are obtained from AP_4219
Industrial Natural Gas Combustion (SCC 2102006000) 

### Ohio's fuel consumption is apportioned per county based on the county's population4

. The area source NOx emissions are calculated and adjusted by subtracting the emissions due to point sources. 293,857 MMCF14 are consumed in 2005. The S02

9

### emissions are calculated using EF 0.6 Lb/MMBTU. The PM10and PM2.5 emissions are calculated using 7.6 Lb/MMBTU. All factors were obtained from AP-4219
2.3 Residential Fuel Combustion Residential Coal Combustion (SCC 2104001000) 

### Ohio's household consumption of coal is apportioned per county based on county population4

. 

### NOx emissions are calculated using EF of 9.1 of coal. The S02 emissions are calculated using EF 31 Lb/1 000 Gal. The PM10 and PM2.5 emissions are calculated using 6.2Lb/Ton and 3.8 Lb/Ton respectively. All factors were obtained from AP_4219
Residential Distillate Oil Combustion (SCC 2104004000) 

### Ohio's household consumption of distillate oil is apportioned per county based on county population4

. 

### NOx emissions are calculated using EF of 18 Ib/1000 gallons distillate fuel respectively. A heating value of 140 MMBTU/1000 Gal is used. The S02 emissions are calculated using EF 42.6 Lb/1000 Gal. The PMlO and PM2.5 emissions are calculated using 1.08Lb/1 000 Gal and 0.83 Lb/1000 Gal respectively. All factors are obtained from AP_4219
Residential Liquid Petroleum Gas Combustion (LPG) (SCC 2104007000) 

### Ohio's household consumption of LPG is apportioned per county based on county population4

. 

### NOx emissions are calculated using EF of 13 Ib/1000 gallons LPG. The S02 emissions are calculated using EF 0.1 Lb/1000 Gal. The PMlOand PM2.5emissions are calculated using 0.17Lb/1000 Gal. All factors are obtained from AP_4219
Residential Natural Gas Combustion (SCC 2104006010) 

### Ohio's household consumption of LPG is apportioned per county based on county population4• 

### NOx emissions are calculated using EF of 94 Ib/MMSCF. MMSCF stands for Million Standard Cubic Feet. This source also emits S02 emissions which are calculated using EF 0.6 Lb/MMBTU. The PM10 and PM2
.5 emissions are calculated using 7.6Lb/MMBTU. All factors are obtained from AP_4219
Residential Wood Combustion 

### NOx emissions from this area source are calculated for seven types of residential heating units that utilize wood forfuel. They are listed belowwith the appropriate SCC: Fireplaces without inserts Fireplaces with inserts catalytic (non-U.S. EPA cert) Fireplaces with inserts non -catalytic Fireplaces with inserts catalytic (U.S. EPA cert) Wood stoves
- Conventional Woodstoves
- Catalytic Wood stoves
- Non catalytic 2104008001 2104008002 2104008003 2104008004 2104008010 2104008030 2104008050

10

### The number of Ohio homes with fireplaces are adjusted for those that burn wood. The following assumptions are applied to those adjusted homes: 92 percent ofwood cornbusted in non-certified units 5.7 percent ofwood combusted in non-catalytic units 2.3 percent ofwood combusted in catalytic units A state consumption value is applied which is apportioned to each county based on its population4• 

### 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 forWood Burners SCC 2104008002 2104008003 2104008004 SCC 2104008010 2104008050 2104008030 SCC 2104008001 RAPIDS Code Non-Certified Non-Catalvtic Catalvtic Units S02 4.00E-01 4.00E-01 4.00E-01 Lb/ton NOx 2.80E+00 2.80E+00 2.00E+00 Lb/ton PM2
.5 

### 3.06E+01 1.96E+01 2.04E+01 Lb/ton To avoid double counting ofwood consumption forfuel, this category is adjusted by subtracting the wood consumption from OWB to allowthis categoryto account onlyfor indoorwood burning emissions. Residential Wood combustion also emits S02 which is calculated using EF 0.4 LblTon EF. The PM2
.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 from the Ohio Department of Health, Vital Statistics17

. 

### It is estimated that 3% of deaths occur outside 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 feels that it is a combustion source and NOx needs to be included in the inventory along with the other combustion sources. Through its Permits-to-Install for human cremation, Ohio has selected a NOx EF of 1

### 0.13lb/ton cremated to calculate emissions from this area source.

11This source also emits PM, PM1

### o, and PM2
.5emissions which are calculated using EF 0.1 LbITon, 0.071 LblTon and, 0.0637 LblTon respectively. All factors are obtained from AP_4219



### 2.5 Structure Fires (See 2810030000) The Structure Fires category includes residential and commercial fires resulting from unintentional actions. Intentional fires, forest and wildfires, agricultural, and vehicle burning are not included in this area source. The State Fire Marshall Office, Fire Prevention Bureau15 provided data on the numberof structure fires per county in 2005. This area source is considered a combustion source for NOx emissions which are calculated using EF 1.4 

### lb/ton burned. The residential and commercial structures fires for each county are tabulated and a fuel loading of 1.15 Tonlfire is applied. This source also emits PM, PM1Q, and PM2.5 emissions which are calculated using EF 10.8 LblTon. This factor was obtained from AP_4219



### 2.6 OutdoorWood Boilers (See 2104008070) OutdoorWood Boilers (OWB), are also known as outdoorwater stoves and outdoor wood furnaces, are used as outdoor residential heaters. These boilers have wood burning fireboxes surrounded by a water reservoirvented by a chimney stack. The combustion ofthe wood in the 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 capacity ranges from 60 gallons to 764 gallons. The operational design creates long periods where the fire smolders and creosote is formed13

. When the water circulating through the furnace reaches an upper set point, the air supplyto the fire is cut-off, cooling the fire so the waterwill not overheat. The furnace operates in this "idle" mode until the watertemperature hits a lowerset point and the air supply is re-established. The OWB may be in idle mode far longerthan in operating mode. This type ofoperating causes very poor combustion and heavyfoul smoke. Most ofthe smoke emitted is fine condensed organic material that does not burn undercool, oxygen starved conditions. In addition, many owners burn green wood full of moisture which also causes poor combustion12. The smoke created from these outdoorwood burning units can contain several pollutants that are harmful to breathe, including fine particle pollution such as PM 2.511 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 unit sales data available to calculate emissions on the county level. Therefore, several assumptions are made in agreement with the Great Lake States in orderto formulate a homogeneous inventoryforthe region.

12

### The assumptions are as follows:

• 100% ofwood combusted in non-certified units.
• OWB units to be 90% in rural counties and 10% in urban counties
• 11.68 cords ofwood consumption per unit peryear (includes heating efficiency of 30-40%) • 5 months heating season = 3650 hours 

### (24/7)

• PM2.5

### emissions factor (g/kg wood) =13.82 (Average of indoorand outdoor) or 27.64 Ib/ton ofwood The agreed upon methodology requires that total numberof 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 factors (see above) are applied to calculate the emissions from this outdoorwood burner. Total emissions obtained from this category are subtracted from the Residential Wood Combustion categoryto allowfor accurate emissions from the indoorwood burning units. 

### 2.7 References 1. Documentation Forthe 2002 Non-Point Source National Emission Inventorv For CAPS and HAPS. U.S. Environmental Protection Agency. Emissions Factor and inventory Group. E.H Pechan and Associates, Inc. January 2004. 

### 2. United States Census Bureau. Population Division. 

### http://eire.census.gov/popest/data/counties/tables/CO·EST2002/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 byAge and

### Sex: 2005-2030. http://www.odod.ohio.gov/research/files/p200.htm 

### (Accessed August 2006) 5. Environmental Protection Agency (EPA). 1999 Base YearNon-point Source National Emission InventoryforHazardOUSAirPollutants, 

### Research Triangle Park, NC. September28, 2001. 6. Environmental Protection Agency (EPA). STAPPA-ALAPCO-EPA Emission Inventory Improvement Program (EIIP). Volume III
- Area Sources Preferred and Alternative Methods. November 1996. 7. Documentation for the Draft 1999 National Emissions Inventory (Version 3.0) for Criteria Air Pollutants and Ammonia. Area Sources. E. H. Pechan & Associates, Inc. March 3, 2003



### 13

### 8. U.S. Environmental Protection Agency, STAPPA-ALAPCO-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 Asselmeier, Air Quality Planning Section, Inventory Group, Springfield, Illinois. 10. Environmental Protection Agency (EPA). STAPPA-ALAPCO-EPA Emission Inventory Improvement Program (EIIP). Volume 

### III
- Area Sources Preferred and Alternative Methods. May 1997. 11. (Environmental Chemistry.com) viewed on Feb 8th, 2007. fhttp://environmentalchemistrv.com/yogi/environmental/200602outdoorwoodfurnaces.ht 

## m!J 12. (Washington State, Department of Ecology) viewed on Feb 8th, 2007 fhttp://www.ecy.wa.gov/programs/air/AOPPermits/Boiler/OutdoorBoilershome.html) 13. U.S. Environmental Protection Agency. Reducing Pollution from OutdoorWoodFired Hydronic Heaters. Fact Sheet http://www.epa.gov/owhh/pdfs/fact sheet 1 29 07.pdf (Accessed 1/2007) 14. Industrial Sector Energy Price and Expenditure Estimates, 1970-2001, Ohio. Energy Information Administration. U. S. Department of Energy. http://www.eia.doe.gov/emeu/states/sepprices/ind/prindoh.html http://www.eia.doe.gov/emeu/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 Inventory (Version 3.0) For Criteria Air Pollutants and Ammonia. Area Sources. 

### E. H. Pechan & Associates, Inc. March 3, 2003 17. Ohio Department of Health, Vital Statistics 18. Environmental Protection Agency. STAPPA-ALAPCO-EPA Emission Inventory Improvement Program (EIIP). Volume X - Emissions Projections. December 1999. http://www.epa.gov/ttn/chief/eiipltechreport/volume1 0/x01.pdf (Accessed 2/2007) 19. Environmental Protection Agency. AP-42. http://www.epa.gov/ttn/chief/ap42/

14

### SECTION 3 NON·ROAD SOURCES The non-road inventory is generated regionally by running U.S. EPA's National Mobile Inventory Model (NMIM) model. The Wisconsin 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 processed the NMIM files in their emissions model and generated daily emissions rates. Grant Heatherington from the Wisconsin Department of Natural Resources provided the following descriptions

... The National Mobile Inventory Model (NMIM) developed by USEPA was used to estimate emissions for all other non-road mobile categories. NMIM consolidates nonroad mobile emissions and on-road emissions modeling into a single modeling system. Onlythe 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 populations, average load factors, available engine powers, activity hours and emission factors. Before NMIM was run, modifications and additions were made to the NMIM input data.

a. Added emission factors for diesel tampers/rammers provided by E.H. Pechan & Associates, Inc. Diesel tampers/rammers are a type of construction equipment. b. Revised PM2.5 ratios in SCC table to correctly calculate PM2.5 diesel emissions. This errorwas introduced with NMIM2005 and didn't exist in NMIM2004.

c. Revised gasoline parameters using updates provided by the states and E.H. Pechan & Associates, Inc. Gasoline parameters include Reid Vapor Pressure (RVP), oxygenate content and sulfur content. The NMIM NEI NIF files are on the LADCO ftp site at: ftp://ftp.airtoxics.org/inv2005/nonroad/NMIM/Base L ph2/2005/



### Revised NMIM2005 Input Data
Emission Factor Data All States: Pechan revised the brake specificfuel consumption (BSFC) emission factor data to include diesel tampers/rammers (2270002006). The revised NMIM file is saved as revBSFC.EMF.



### 15Population 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 PM25facfield 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 (NCO) used by NMIM to incorporate newfuel 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 ofthe revised tables are used. Also, the countynrfile, countyyear and datasource tables were revised to reference the new activity, allocation, growth, population and seasonalityfiles described above. NCO tables with names ending in "def' are default versions ofthe table. See table belowforthe appropriate versions ofthe tables forthe selected years. Non-LADCO States: The countynrfile, countyyear and datasource tables were revised to reference the new activity, allocation and seasonalityfiles described above. See table belowfor the appropriate versions ofthe tables forthe 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, countynrfile

_NMIM05_rev, countyyear _NMIM05_rev, countyyear_NMIM05_rev, countyyearmonth_NMIM05_w countyyearmonth_NMIM05_w_05_12_18_rev, _05_12_18_rev, datasource_NMIM05_rev, datasource _NMIM05_rev, gasoline_NMIM05_w_05_12_18_rev gasoline_NMIM05_def SCC_NCD20060201Jev (used when SCC_NCD20060201_rev NCD20060201 is used) (used when NCD20060201 is used)



### 16

### SECTION 4 ON-ROAD SOURCES A mobile source of air pollution is a self-propelled or portable emitterof air pollutants, and mobile source emissions are those generated bythe engines or motors that power such sources. Most mobile sources, exceptjet orturboprop aircraft, are powered by internal combustion (IC) piston engines, and nearly all use liquid fuels. Gaseous fuels, such as compressed natural gas (CNG) or liquefied petroleum gas (LPG), had only a verysmall fraction ofthe motorfuel 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 purposes, mobile sources are 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 ofgoods and passengers 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 motorvehicles used off-road.

• Self-propelled or portable motorized machines or equipment not used for transportation, ranging from construction equipment and farm tractors to lawnmowers and hand-held powerweed choppers. 

### Mobile Sources: All on-road mobile sources are self-propelled. 

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

### Stationary Sources: Not all movable or portable emission 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 fortwo reasons: (1) they may operate forweeks or months at a single location, and (2) the trucks that movethe plants do not supply powerfor them.



### 17

### NOTE: Not all Internal Combustion engines (IC) orturbine engines are mobile sources. Fixed IC engines, such as those that power pipeline compressors orstandby generators in electricity plants and elsewhere, are also classified as stationary sources. 

### 4.1.1 Categories and Components of Mobile Source Emissions There are three categories of mobile source emissions:



### • Exhaustortailpipe emissions, which result from the combustion offuel in the source's engine



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



### • Refuelingemissions Exhaust Emissions: Are the result offuel combustion and occur onlywhen the engine is running. 

### Evaporative emissions: Are Volatile arganic Compound 

### (VaC) based only and are continuously emitted from an engine's fuel system, whetherthe engine is running or not. Gasoline is a very volatile fuel, so total

# vac emissions from gasoline powered vehicles have a large evaporative component. Diesel and jetfuels are ofvery low volatility, so evaporative emissions from diesel and turbine engines are a much smaller part oftheir total

# vac emissions. Evaporative emissions for CNG or LPG powered vehicles are negligible because theirfuel tanks and systems are of necessity, sealed. Evaporative and exhaust

# vac emissions can be calculated separatelyfor most mobile source categories. Evaporative emissions do not include

# vac emissions that occur during refueling. 

### Refueling Emissions: These emissions are the third category of mobile source emissions. Refueling emissions are entirely

# vac. Although they result from the evaporation offuel, they are distinctfrom, and not directly related to, evaporative emissions as defined above. Refueling emissions have two subcomponents:

• Displacement emissions. These occurwhen newfuel is transferred into a partly filled tank--be it a service station storage 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 airout the inlet pipe orothervent. There are two stages of displacement emissions:

o 

### "Stage 

### I" emissions occurwhen the underground storage tanks at a service station are being refilled;



### 18

### o 

### "Stage 

### II" emissions occurwhen a motorvehicle (or gas can) is being refueled. NOTE: These emissions are covered 

### in, "Area Sources," section 3.6.

• Spill emissions. These occurwhen drops offuel drip or splash on the ground during or after refueling and evaporate 

### away. 4.2 Ohio On-RoadMobile Source Inventory The inventory

### of on-road mobile source emissions was developed in conjunction with the Ohio Department ofTransportation (ODOT), Lake Michigan Air Director's Consortium (LADCO), United States Environmental Protection Agency (USEPA), and the Ohio EPA (OEPA). Estimates ofthe amounts of NOx and VOC are reported by county in tons per day. Emissions are reported for a typical ozone season weekday in the summerof

### 2005. 4.2.1 Emission Inventories Developed with MOBILE6 Model MOBILE6 Overview: MOBILE6 is a computer program that estimates hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), exhaust particulate matter (which consists of several 

### components), tire wear particulate matter, brake wear particulate matter, sulfur dioxide (S02), ammonia (NHs), six hazardous air pollutant (HAP), and carbon dioxide (C02) emission factors for gasoline-fueled and diesel highway motorvehicles, and for certain specialized vehicles such as natural-gas-fueled or electricvehicles 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 ofthe variables affecting vehicle emissions can be specified bythe user. MOBILE6 will estimate emission factors for any calendaryear between 

### 1952 and 

### 2050, inclusive. Vehicles from the 

### 25 most recent 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 ofconditions 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 inventory 

### is to be constructed from separate



### 19estimates of roadways, geographic areas, ortimes of day, in which fleet ortraffic conditions vary considerably. A list of MOBILE6 input parameters is provided below. Most ofthese inputs are optional because the model will supply default values unless 

### alternate data are provided. 

### 4.2.3 MOBILE6 Input Parameters

• Calendaryear
• Month (January, July)

• Hourly Temperature

• Altitude (high, low)

• VVeekend/weekday
• Fuel characteristics (Reid vapor 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 byvehicle class and model year
• Average speed distribution by hourand roadway

• Distribution ofvehicle miles traveled by roadway type
• Engine starts perday by vehicle class and distribution by hour

• Engine start soak time distribution by hour

• Trip end distribution by hour

• Average trip length distribution

• Hot soakduration
• Distribution ofvehicle miles traveled by vehicle class

• Full, partial, and multiple diurnal distribution by hour

• Inspection and maintenance (11M) 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 specifications and selections 

### 4.2.4 MOBILE6 References The following publications provide much ofthe guidance forthe preparation ofthe onhighway inventory. 

### EPA-450/4-81-026d (ReVised), now EPAl450-R-92·009, Procedures forEmission InventoryPreparation, 

### Volume IV: Mobile Sources, December 1992. Hereafter, "Procedures Vol. IV". The 1992 version is still the definitive document on


### 20inventories. Ifa previous edition is referred to, the fact will be noted as, for example, "the 1989 Procedures Vol. IV" or "Volume IV, 1989 edition". EPA420·R·03-010, 

### User's Guide to 

### MOBILE6.1 andMOBILE6.2: Mobile Source Emission FactorModel, August 2003. This is the User's Guide for the official MOBILE6.2.03 on-highway mobile source emission 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 published by Assessment & Modeling Division (AMD) ofthe National Vehicle 

### &Fuels Emissions Laboratory (NVFEL) in Ann Arbor, Michigan. The NVFEL is part of USEPA Office ofTransportation & 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 primary source of guidance on M6 inputs and an invaluable adjunct to the M6 User's Guide. USEPAdocument "FrequentlyAsked Questions on MOBILE6", 16 January 2002. Hereafter, [M6] "FAQ". This documentwas 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, Directorof OAQPS, and Margo Oge, Directorof OTAQ, to Regional Air Division Directors.

4.3 Ohio's Alternate Data for MOBILE6 Alternative data is state-specific data that is used in the Mobile6 runs. Using local data is preferred to using the default data in Mobile6. Efforts are made to collect as much local data as possible.

4.3.1 Vehicle Registration Distribution by Age Overview: The vehicle age distribution determines the fraction ofvehicles operating within each emissions control requirement standard and the deterioration ofthe emission control technology. Emission rates vary widely between new and oldervehicles. Thus, even small changes in fleet age, particularlyfor oldervehicles, may result in large changes in emission totals.

21The MOBILE6 model requires estimates of a distribution of registered 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 methodologyto convert the July 1, 1996 registration profile into a general registration distribution by age and byvehicle category 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-duty vehicle in-use fleet, and made minor adjustments, where possible, to reflect some ofthe differences between vehicle categories. Description: The MOBlLE6 model requires estimates of a distribution of registered vehicles by age and vehicle category for current and future years. OEPA chose to use local vehicle registration data provided bythe Ohio Bureau of MotorVehicles (BMV) which was sent to the Lake Michigan Air Directors Consortium (LADCO) to develop these inputs. LADCO then contracted with a subcontractorto breakout the age distribution data from the Vehicle Identification Numbers (VIN). Note: Itwas learned during the course ofthis inventorythat there were some discrepancies in the age distribution data. But itwas too large of a project to reevaluate the data priorto this inventory. This will be corrected in the next inventory (2008). Method Applicability: This approach is most applicable in areas where there are significant differences in the local vehicle fleet age distribution relative 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 state motorvehicle registration office. The fleet age should be representative ofthe vehicle fleet overthe small urban or rural area under question. Advantages:

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

• Requires minimal additional resources, particularly if data is readily available at the county or local level from the State department of motorvehicle registration.

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



### 22

### 4.3.2 DailyVehicle Miles Traveled (DVMT) Overview: In coordination with Ohio Metropolitan Planning Organizations (MPOs), the Ohio Department ofTransportation (ODOT) provided DailyVehicle Miles Traveled (DVMT) data and travel 

### demand model (TDM) data. TDM data will be covered 

### in another section. Because TDM results are used bythe state and MPOs to forecast trafficfor a variety

### of reasons, undergo rigorous calibration and validation checks, and are sensitive to roadway capacity/travel time improvements, the TDMs are considered the besttool for emissions forecasting. Therefore, the DVMT data discussed in this section is not used directlyfor all areas of Ohio. In counties where it is not used directly it is used for making rough emissions estimates where models do not exist orwhere time prohibits the use ofTDMs. DVMT is a simple mechanism to measure how much traffic is flowing along a roadway during an average 

### 24 hour period. This simple formula mUltiplies Average 

### Annual Daily Traffic (MDT) bythe length ofthe roadway. For example; if a roadway is 2 miles in length and the MDT is 4000 vehicles perdaythe DVMT would be computed by multiplying 2*4,000 =8,000 or 8,000 DVMT. CountY-By-County DVMT is computed using the State of Ohio, Department of Transportation's Roadway Information Files and the annual Highway Performance Monitoring System (HPMS) Summary Reports. DVMT's are computed for all ofthe Federal Functional Class (FC) categories within each of Ohio's 88 counties. The MDT and Roadway length information provides a very

### accurate estimate of statewide total DVMT forThe State Highway System (Interstate, US and State Routes). Countytotal DVMT are consistent and considered a good source of county level 

### DVMT for countywide emissions estimates. For roadways that are not part ofthe State Highway System, various representative counts were used, such as: railroad crossing counts, HPMS Sample Section Counts, etc. All traffic count data thatwas 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 Functional Class Categories:
01
- Rural Interstate 02
- Rural Principal Arterial 06
- Rural MinorArterial 07
- Rural Major Collector 08
- Rural Minor Collector 09
- Rural Local 11
- Urban Interstate 12
- Urban Freeway & Expressway 14
- Urban Principal Arterial 16
- Urban MinorArterial 17
- Urban Collector 19
- Urban Local

23Table 

### 4·2 DVMT County Summary:

### >/!·.·~

### •.

## "'''m,'. 

# , ...... 

## .•".·'2••**·kll·j!il~~···~.;""'.:~;II='!2,!,<i§kB** 

## ••**~·;.o.;T·**

## •.0.'ii iYi·.>.<i}{
COUNTYSUMMARY: Adjusted CountykOVMT's**.~** 2005Dola (hDUMT::: Thousands ofDailyVehiclesMiles Traveled)


### •• TOTAl TOTAl TOTAl fC=ltt fC=112 fC=OO fC=01 fC=08 FC:O!l RlIl.O. fC=11 FC=12 FC=14 fC=16 FC=l1 FG;;19 URB'" CUWIY

••• COWJYNlHf 

## "'''IT "'''IT "'''IT "'''IT InM ""Mf ""Mf ""Mf ""Mf ""Mf ""Mf ""Mf ""Mf hDVMr ""Mf 

## < 0 ,. 

## ., 6.' . 0 .00 

# .. .6 

# .
. 319.62 68.55 WOO", 

### "'''''" ASHLAND 661.$S 

## , ." 163.06 241.87 76.79 125.48 1616.01 1),00 0.00 170,72 26.95 35.66 21.0$ 254.38 181(}.SS ASHTABULA 603.78 201.06 213,05 447.31 10S:rl 211.26 1%2.17 129.74 43.84 222.24 201,80 131.20 300.78 1035.60 2881.77 A , 

## , '" .5 .6 

## ,. AUGl,AIZE 281,01**2~.72** 11.55 280.15 48.20 132,W 974,13 81.33 41.31 5. , 107.53 112.13 41.94 396,03 1370,16

. 2 .

## , 93.9 69.2 6. 1 

# .. ., 

## , 3. BROWN 0.00 473.58 221.95 191.73 39.84 1!}420 112728 0.00 0.110 29.89 0,00 4.59 1.04 35.52 1182.80 BUTl 0.00 17.48 100.71 334.76 197,95 254,62 1065.50 1.209.51 283.05 1144JJS 1104.59 702.01 12 .92 .1 CARROLL 0.00 0.00 306.as 126.16 47.18 107.52 588.35 0.00 0.00 0.00 0.00 .00 0.00 0.00 50035 CHAMPAIGN 0,00 167.72 113.43 253.64 4431 142.95 722.11 0.00 0,00 76.51 24.96 14.78 48.24 164.49 88S.60
CLE (NT 0.00 325.08 55.85 428.85 24.80 286.74 1121 ,32 $88.72 101.0$ 602.60 547.8& 412.27 2 12 2982.76 4054.08 33$.14 

# '" COL AN' 0.00 265.65 2!l2,55 4!J6.66 151.69 276,59 1392.54 0.00 154.88 278.59 204.84 306.22 125.08 1069.61 2462.15 COS OCTON 0.00 182.89 91.52 1 .00 139,28 04.78 757.45 O. 0.00 34.00 02 3M4 1 .03 214.99 '12. CRIWllfORD 0.00 82,69 56.15 342" $$ 179.32 

### "'-" 0" 

## ,.., 93.40 88,98 113.55 1.28 367.21 1064.6 CUYI<tlOGA '.00 0.00 0.00 0.00 0.00 0.00 0.00 2614.66 875,31 4311.73 4701.14 1082.47 4741.60 28m.57 28333.57 DARKE 0.00 142.54 177.24 396,12 13'4,59 300,21 1151l.69 1l,00 $.41 55.19 41.19 29.77 12.28 168.911 1319.59 DEfIANCE 0,00 111.11 44.64 337.78 62.31l 182.73 738.58 003 0.00 132.15 119. 2. 5 30 .8 1 .03

A ARE .46 /142.70 .259.6 273. 

## ". 279

. 20 .11 8.15 582.118 

## " 2 .2 2 

# "" 1071.00 480.23 11!l.29 2$2.88 20,74 11a.62 2\)71.75 0.00 328.83 294.!l 119.!l7 1372$ 111.16 US 063.74 fAIR E 000 51 .2 1 2 - 

## " 

## ,. 2 6

. 

## " 11E 

## , .35 1 6.61 157.85 10.93 70.19 90.0 1.23310 0.00' .00 44.19 61.53 2 .1 5.11 163. 14.21. f 65. 

## ,. 

## , . 1. , 456.1 ,11 210'3

. 

## " 58

. . 2 . 2 2 f N 

## , .2

.44 371.01 42.46 1 .31l 1543.09 

# ". O. 

# ." 12 1 GAl 12. 003 7.90 12,22 175.71 796.81 8.00 0 1 .41 .00 7 ,16 9.65 200'22 GEAUGA 

# '" 273.44 183,08 557,(J$**6.~** 81.$4 1101.76' O.on 16'3.39 341.11 225.16 19$,19 100.$9 1028.74 21311.50



## .**:;:~""F''''',r'i'~:** 1 6.7:; 69.:;:; -150./flf**F."r7·'t..,'·~"'.··>~r·~.':** 

## ,:" .:

## ...; 

# ,:, ',Wi I"," ») iT.**}~id";;:;i~it!z.** )AtO" 

# ·'·'hadz"'.k •.••**~ECCT"(:EXi** :9VR'iIltli 

# ':' 

# ..... 

# '

For PDF web based tables of2005 DVMT by county 

### see: http://www.dot.state.oh.us/techservsite/availpro/Road %201 nfor/KDVMTIvmt2005.pdf Disclaimer by ODOT: The above PDF web basedtables contain the State 

### of Ohio's adjustedcountyDVMT's androadmileage fortheyears 1990
- 2005. Please be aware thatthe numbers are estimates only. The factoringprocess usedannual, estimated, andstatewideADT (Average Daily Traffic) growth factors, derivedfrom the output

### ofa limitednumber

### of traffic countingstations aroundthe state. Although the growth factors are available by functionalclass, theyare more reliable formajorroads such as interstates or expressways, which are relativelywell-sampled, than forlocalroads orcollectors. The numbers also do no allowforperiodic, large-scale functionalreclassification actions



### 24

### which reassign selectedroads orroadsegments from one functionalclass to another. The Ohio Department

### of Transportation therefore does not warrantthe accuracy, completeness, orreliability

### of these estimates foryourresearch. We also do not assume responsibilityforanyincorrectness thatmayoccur.



### 4.3.3 VMT From Travel Demand Models (TOM) Overview: 

### Travel demand forecast modeling is performed bythe Ohio Metropolitan Planning Organizations (MPOs) and ODOTfor a multitude of purposes including the preparation of regional emissions estimates. The ODOT Office ofTechnical Services' Modeling & Forecasting Section recommends that Ohio's TDMs and ODOT's conformity analysis methods be used to establish the roadway mobile 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 LADCO. 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 ofthe loaded networks. Additional post processing data was proVided including but not limited to metadata describing the loaded networks, Hourly distribution byfunctional class, speed profiles, day ofweek 

### Iweekend / monthly car and trucktraffic profiles, 2009 & 2018 VMT RPO data sets, statewide VMT growth rates for local traffic, and a 2005 VMT summary comparison spreadsheet. It should be noted that among otherthings, the loaded TDM Networks contain distance and daily 

### volumes from which VMT is computed. Networkvolumes are post processed to estimate VMT by hourof day. The hourly volumes and capacity, posted speed limit, and type of roadway for each roadway segment are then used to estimate 

### average hourly speeds needed for MOBILE6 based emissions estimates. Modeling by segment by hour ofday in this way makes emissions estimates more sensitive to the effects of roadway improvements. This allows transportation planners to evaluate the relative emissions affect of improvements to individual roadways as well as packages of improvements and the entire set of planned roadway improvement projects air quality impacts of construction programs.



### 25

### 4.3.4 Speed Distribution Profiles Overview: ODOT provided speed distribution profiles to LADCO. A couple ofdifferent sets of speed distribution profiles were provided to OEPA and LADCO fortheir use, a table of space mean speeds byfunctional 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 conducted by ODOT. The speed study is documented in "Statewide Travel Time Study, May2001 by Greg Giaimo, Ohio Department ofTransportation". When OEPA asked for speeds for use with MOBILE6 for development of CERR, ODOT provided a set of speeds based on that statewide travel time study. Those speeds are documented in a technical memorandum titled "Estimation ofAverage Speed by Functional Class for MOBILE6 Runs" dated 5/27/2004. Readers should referto those documents for the details. Here the contents ofthe technical memo, Estimated Average Speed by Functional Class, are summarized.


### Space Mean Speeds by Functional Class for Use with County Level DVMT, HPMS: The memo states that the speeds which the Ohio Department ofTransportation (ODOT) had been using priorto that date, 2004, for airquality analysis estimates based on County DVMT summaries, were developed by a former ODOT employee for addressing the one (1) hour standards conformity rules established due to 1990 emissions exceedances. No documentation was found in ODOT's files on the origin ofthese average speed values or howthey were estimated. In addition, EPA has requirements for using latest planning assumptions for airquality conformity analyses. Therefore, ODOT believed that itwas in the state's best interestto use the most recent available data to provide a new set of estimated average speeds consistentwith those used for urban area travel demand models which were underdevelopment at that time. The memo contains comparisons of2002 speed data obtained from traffic count equipment, automatic traffic recorders (ATRs) which collect data continuouslythroughout the year. It also contains comparisons ofthe 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.



### 26-111-1990Analysis Speeds 2001 Speed Study Figure 1
- Speed Comparison Graphs
Speeds Comparison


### 80.0 ,--------,---------, r-.--:-A-",-rag-e7Sp-ee-:d--'I 

### 70.0 +-.:- 

### 60.0

" 50.0

. Ql 

### 40.0 lJ) 

### 30.0**~---** 

### 20.0 10.0

0.0

### ~"**~<o ~'O**  ,," "I>< 

## 0



# «.0 «.0 «.0 «.0 «.0 «.0 Functional Class



### Speeds Comparison
100 ,--,-------,--------,

80**~-------'---­** 

### " 60 

# ! lJ) 

### 40 20



# o

Functional Class --Average Speed

-- Min. Avg Speed Max. Avg. Speed

-*- Gebhardt's Speeds

-- Spd Study Est Speeds

--- Spd Study Greg Est

The following caution statement was taken from the_Estimation ofAverage Speed by Functional Class memo. 

### CAUTION: 

### Itshouldbe notedthatspeeds on facilities falling in anyone 

### ofthe federal functional classifications varygreatlybetween roadways, between hour

### ofthe day, and day

### of the week. 

### So theseprovide only veryrough estimates 

### ofspeedandshouldbe used with caution. In addition, itis expectedthat these average statewide speeds are higherthan the average speeds in the non-attainmentareas because the non27attainmentcounties tendto be morepopulatedandmore congested. The document "Highway Vehicle SpeedEstimation Procedures ForUse in Emission Inventories'; September

### 1991 byEarlRuiterofCambridge Systematics Inc. is referencedbyEPA's documentedprocedures foremission inventorypreparation. This documentsuggests postprocessing traveldemandmodeltrafficassignmentresults to estimate average speeds. Final space mean speeds that OOOT provided 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 OOOT Office of Technical Services that these new space mean speed based average speed estimates were reproducible and defensible since they are well documented and should therefore be the speeds used with HPMS" VMT ifanyyear 2002 emissions budget work is done using onlythe county level VMT summaries discussed in section 5.3.2 DailyVehicle Miles Traveled (OVMT)

.

•• Note that HPMS 

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

### 4.3.5 Link Group Speed Curves: The OOOT Modeling 

### &Forecasting Section recommends that Ohio's travel demand forecasting models and OOOT's conformity analysis methods be used to establish the roadway mobile source portion ofOhio's SIP budgetfor reasons already mentioned in 5.3.2 and to assure consistent methods are used fortransportation conformity demonstration analyses and bUdgets. Therefore, OOOT provided travel demand model runs and the speed curves by link group that OOOT uses forthe speed estimates within



### 28

### the post processing oftravel demand model runs for estimating regional emissions. Table 2 shows these linkgroup curves.

Table 4-4 Link Group Codes & Associated BPR Curves Link Facility Free Flow Areatype 

### a b Group Type Speed 

### 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 Freewav 

### 55 Anv 

### 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 Anv Rural 

### 0.34 4.0 10 Urban 

### 50 Suburban 

### 0.34 4.0 Street 

### 11 Urban 

### 50 Urban 

### 0.74 5.0 Street 

### 12 Urban 

### 50 CBO 

### 1.16 6.0 Street 

### 13 Urban 

### 40 Suburban 

### 0.38 5.0 Street 

### 14 Urban 

### 40 Urban 

### 0.70 5.0 Street 

### 15 Urban 

### 40 CBO 

### 1.00 5.0 Street 

### 16 Urban 

### 35 Suburban 

### 0.96 5.0 Street 

### 17 Urban 

### 35 Urban 

### 1.00 5.0 Street 

### 18 Urban 

### 35 CBO 

### 1.40 5.0 Street 

### 19 Urban 

### 30 Suburban 

### 1.11 5.0 Street 

### 20 Urban 

### 30 Urban 

### 1.20 5.0 Street 

### 21 Urban 

### 30 CBO 

### 1.50 5.0 Street Note: a and b are the BPR curve parameters for the equation T=T

### o{1 

### +a*(V/C)J\b]


### 29More complete details about emissions modeling process employed by ODOT may be found in ODOT documentations. The documenttitled "Congestion Management & Air QualityAnalysis (CMAQ) Program Documentation" dated December2005 may be obtained from the ODOT web site atwww.dot.state.oh.us/urban/data/cmaq.doc (MicrosoftWord document)



### 4.4 Mobile6 Inputs: The following table contains the inputs supplied to LADCO to process our mobile inventory. 

### 4.4.1 Ohio's 2005 MOBILE6 Inputs The following tables are the result of ajoint 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 ofdata inputs for Moble6. Dialogue has continued between the parties. For historical reference:

>>> Dave Moore <Dave.Moore1@dot.state.oh.us>4/10/20062:13 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 ofthis meeting is to discuss development of2002 mobile source inventories for use in developing the Ohio 2007 8-Hour Ozone SIP Attainment Demonstrations. See meeting agenda below. OEPA is working toward a June 15,2006 schedule for submitting the 2002 inventories to US EPA. A key component of the meeting will be to review and confirm the MOBILE6.2 input parameters, by Ohio a/q area, for use in developing the 2002 mobile inventories. See drafttemplate below. The Ohio MPO travel demand models will be used to generate the 2002 VMT inputs to MOBILE. Thanks, DM DM

30IMPORTANT NOTICE: The following tables are not to be used for inventory purposes as the data is subject to change. Forthe current inputtable, contact Ohio EPA, Division ofAir 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

L..- ...;:;;State Programs 

# I Input Stage II Refueling Anti-tampering Programs 93/3/86/86 96/78/50/22222/21111111/1/12/098.112111112 11M Programs Yes Exclude Ashtabula County

- No 11M program Program 1 2004 2050 2 TIO OBO 11M 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 OESCfile Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TTC Credits Effectiveness OESC file Program 2 2004 2050 2 TIO EVAP OBO & GC 2 1996 2050 2 22222 11111111 1 2 98.0 2 1.0 1.0 2 25 2 4

3 2001 2003 2 TIO ASM 2525 PHASE-IN



### 31Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESC file Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESC file Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TTC Credits Effectiveness DESC file Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESCfile 3 1996 2003 3 22222 21111111 3 30.0 3 98.0 3 3.0 1.0 3 25 3 2

4 2001 2050 2 TIO ASM 2525 PHASE-IN 4 1975 1995 422222211111111 4 30.0 498.0 4 3.0 1.0 

### 4 25 

### 4 4

5 1998 2000 2 TIO LOADEDIIDLE 5 1975 2000 5 22222 21111111 1 5 30.0 5 98.0 5 3.0 1.0 5 25 5 2

6 1996 1997 2 TIO IM240 6 1975 1997 622222211111111 6 30.0 6 98.0 6 3.0 1.0 6 CUTPOINT.D 6 25 6 2

32Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TTC Credits Effectiveness DESCfile
Fuel Commands
Fuel Program Oxygenated Fuels Fuel RVP 7 1996 2050 2 T/O GC 7 1975 1995 7 22222 21111111
7 98.0 7 3.0 1.0 

### 7 25 72

0.00 0.42 0.00 0.036 2 9 Alternative Emission Regulations and Control Measures
Rebuild Effects

CalendarYear Evaluation Month 0.1 External Conditions Commands
2005
7 MiniMaxTemperature Nationai Climatic Data Center Vehicle Fleet Characteristic Commands Registration Distribution Variable



### 33

# ICincinnati-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 

# I Input 

### State Programs
Note: Indiana and Kentucky inputs may not coincide with Ohio inputs Stage II Refueling 93/3/86/86 Anti-tampering Programs 96/78/05/22222/21111111/1/12/098.112111112 11M Programs Yes Excludes Clinton Co. and Miami Co., OH, Dearborn County, IN • No 11M program Note: 11M inputs for Kentucky counties are not included Program 1 2004 2050 2 T/O OBD 11M 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 TIC Credits Effectiveness DESCfile Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESCfile 2 2004 2050 2 T/O EVAP OBD & GC 2 1996 2050 2 22222 11111111 1 2 98.0 2 1.0 1.0 2 25 

### 2 2

Program Model Years Vehicles Stringency Compliance 3 2001 2003 2 T/O ASM 2525 PHASE-IN 3 1996 2003 3 22222 21111111 1 3 30.0 3 98.0
34Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESC file Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TTC Credits Effectiveness DESCfile Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESCfile Program Model Years Vehicles Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TIC Credits Effectiveness DESC file Program Model Years Vehicles 3 3.0 1.0 3 25 3 2

4 2001 2050 2 TIO ASM 2525 PHASE-IN 4 1975 1995 422222 211111111 4 30.0 498.0 4 3.0 1.0 

### 4 25 4 4

5 1998 2000 2 TIO LOADEDIIDLE 5 1975 2000 5 22222 21111111 1 5 30.0. 5 98.0 5 3.0 1.0 5 25 5 2

6 1996 1997 2 TIO IM240 6 1975 1997 622222 211111111 6 30.0 6 98.0 6 3.0 1.0 6 CUTPOINTD 6 25 6 2

7 1996 2050 2 TIO GC 7 1975 1995 7 22222 21111111 1

35Stringency Compliance Waiver Rates Cutpoints Exemption Age Grace Period NO TTC Credits Effectiveness DESC file

Fuel Program Oxygenated Fuels Fuel RVP 7 98.0 7 3.0 1.0 

### 7 25 7 2

Fuel Commands

0.00 0.42 0.00 0.036 2
9 Alternative Emission Regulations and Control Measures
Rebuild Effects

Calendar Year Evaluation Month 0.1 External Conditions Commands
2005
7 MiniMax Temperature National Climatic Data Center Vehicle Fleet Characteristic Commands Registration Distribution Variable



### 36

### OtherAreas (excluding NOACAIAMATS 

### 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 CommandsInput
Fuel Program Oxygenated Fuels Fuel RVP 1 0.00 0.42 0.00 0.036 2
9 

### Alternative Emission Regulations and Control Measures
Rebuild Effects 0.1 (0.30 for 2018)

CalendarYear Evaluation Month 

### External Conditions Commands
All
7 MinIMaxTemperature National Climatic Data Center

Registration Distribution 

### Vehicle Fleet Characteristic Commands

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 LADCD with T3 to prepare it as an input into the ConCEPT model. T3 and ConCEPT are described as follows.

37

### 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 necessarytechnical support for new State Implementation Plans (SIPs) for regional haze, fine particles, and ozone. Emissions for on-road motorvehicles are estimated using vehicle miles traveled, trip starts and ends, speed, and other activity data developed by State Agencies and Metropolitan Planning Organizations (MPOs) using transportation demand models (TDMs), and emission factors from EPA's MOBILE6 model. To support 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 approximatelytwenty transportation networks using a variety of models, applies appropriate data transformations, and outputs Iink- and county-level activity data in a uniform formatfor input to the CONCEPT emissions processing model (a new emissions processing model also developed with funding from LADCO). In a parallel effort, analyses of extensive automatic traffic recorder (ATR) data collected by State DOTs were conducted to develop temporal profiles (hour ofday, day ofweek, and month ofyear) ofvehicle counts and vehicle mix by roadway type for developing the detailed on-road emission inventories. T3 provides a conduit from the projections oftraffic demand modelers regarding vehicle types, road networks, and vehicle activityto the activity data required by emissions modelers. The primary goals ofT3 are to provide an easy mechanism for incorporating TDM model outputs in as "raw" a format as possible, while simultaneously providing a great degree offlexibility in representing the TDM projections in terms acceptable to most airquality models. These goals have been achieved through the use of a dimensional transformation approach, where the dimensions ofthe various transformations are user-defined
- hence the name ofthe tool. By Stella Shepard, Alison 

### K. Pollack, John Haasbeek, ENVIRON International Corporation, 101 Rowland Way, Suite 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 Emissions Modeling Community: The new CONCEPT (CONsolidated Community Emissions Processing Tool) Emissions Processor is now available for use bythe 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 ofcurrent emissions modeling systems into an open source model highlighting the following features:

• Open Source. Written primarily in PostgreSQL, the software required for running


### 38CONCEPT is in the public domain. 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 structure ofthe model makes the system easyto understand, and the modeling codes themselves are extremelywell documented to encourage user participation in the customizing the system for specific modeling requirements.

• Quality Control. The CONCEPT model structure and implementation allows for multiple levels of QA analysis during every step ofthe emissions calculation process. Using the database structures, an emissions modeler can easily trace a process or facility and review the calculation procedures and assumptions for any emissions value. The CONCEPT model includes modules for the majoremissions source categories: area source, point source, on-road motorvehicles, non-road motorvehicles and biogenic emissions, as well as a numberof supporting modules, including spatial allocation factor development, speciation profile development, growth and control for point and area sources, and CEM point source emissions handling. The emissions modeling community has already begun development of additional CONCEPT support modules including CEM preprocessing software, graphical QAtools, and an interface to the traffic demand models for on-road motorvehicle 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 Avenue # 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/emis/net05/index.html 

### Table 4·6 LADCO Data Output 

# i--r \.

. -

# T-

# ·-;!f f**~,,~!** 

# -....... IM6··

# .~'"' 

# r:-- 

# I"",,**':"Jlii;~** T3 M6· vs

# I; IS •

# n: 0 u ant umm Tempo Veh ary Sta Network Descripti Inpu HP**~hOUld** 1551 ants Dropped Run Totals ary ral Mix (With te DOC t MS atch on After VMT Summ (Sh rt (pol,ve S S I on s Exc conformi s Sped ary 0 h, aumm aumm eO um el ty Re ation )etype) ry ry /. 

# I \ \;nventory

# forI I 

# I \**~faci J9_~JAK~()NI~K~N-~~~~~R()~_~rc_~~_**  

# [=**(=I~--** 

# j:---Il**cc_-rL_-[i~**
39

### Additional Documents on LADCO Web Page: 

### "Comparison to EPA's Default Model NMIM" "Howwe Build the 2005 Vmt/Networks" "Spreadsheet/Graphics on Vehicle Mix" "Background on the T3 Tool" 4.6 MPO Contact Table t 

### T bl fMPO b C t 

### S T 

### bl 47

Ca e 

# . oun 

### y ummary a eo s 

### y oumy FIPS County Model Network MPO Contact Person 39001 Adams Statewide Lima Allen County Regional Tom Mazur 39003 Allen Statewide PlanninQ Commission 39005 Ashland Statewide 39007 Ashtabula Statewide 39009 Athens Statewide 39011 AUQlaize Statewide Bel-a-Mar Regional Council Rakesh Sharma and Interstate Planning 39013 Belmont StateWide Commission 39015 Brown Statewide Ohio-Kentucky-Indiana Andy Reser CincinnatlDavton Regional Council of 39017 Butler Governments 39019 Carroll Statewide 39021 ChampaiQn Statewide Coordinating Committee of Eric Ottoson 39023 Clark Sorinafield the Clark Countv-SorinQfield


### 40Transportation Study Ohio-Kentucky-Indiana Andy Reser CincinnatlDavton Regional Council of 39025 Clermont Governments 39027 Clinton Statewide 39029 Columbiana Statewide 39031 Coshocton Statewide 39033 Crawford Statewide Northeast Ohio Areawide Bill Davis 39035 Cuyahoga Cleveland Coordinatina Aaencv 39037 Darke Statewide 39039 Defiance Statewide Mid-Ohio Regional Planning Nick Gill 39041 Delaware Columbus Commission 39043 Erie Statewide 39045 Fairfield Statewide 39047 Favette Statewide Mid-Ohio Regional Planning Nick Gill 39049 Franklin Columbus Commission 39051 Fulton Statewide 39053 Gallia Statewide Northeast Ohio Areawide Bill Davis 39055 Geauaa Cleveland Coordinatina Agencv Miami Valley Regional Ana Ramirez 39057 Greene Cincinnat/Davton Planning Commission 39059 Guernsey Statewide Ohio-Kentucky-Indiana Andy Reser CincinnatlDavton Regional Council of 39061 Hamilton Governments 39063 Hancock Statewide 39065 Hardin Statewide 39067 Harrison Statewide 39069 Henrv Statewide 39071 HiQhland Statewide 39073 Hocking Statewide 39075 Holmes Statewide 39077 Huron Statewide 39079 Jackson Statewide Brooke-Hancock-Jefferson Mike Proprocki Transportation Study Polley 39081 Jefferson Statewide Committee 39083 Knox Statewide Northeast Ohio Areawide Bill Davis 39085 Lake Cleveland CoordinatinQ Agency KYOVA Interstate Planning 39087 Lawrence Statewide Commission Licking County Area Matthew Hill 39089 LickinQ Columbus Transportation Studv 39091 Logan Statewide 39093 Lorain Cleveland Northeast Ohio Areawide Bill Davis

41Coordinating Agency Toledo Metropolitah Area SUjatha Mohanakrishnan 39095 Lucas Toledo Council of Governments 39097 Madison Statewide Eastgate Regional Council R.P. Samulka 39099 Mahoning Youngstown of Governments 39101 Marion Statewide Northeast Ohio Areawide Bill Davis 39103 Medina Cleveland Coordinating Agency 39105 Meigs Statewide 39107 Mercer Statewide Miami Valley Regional

. Ana Ramirez 39109 Miami Cincinnat/Davton Planning Commission 39111 Monroe Statewide Miami Valley Regional Ana Ramirez 39113 Montaomerv

. Cincinnat/Davton Plannina Commission 39115 Morgan Statewide 39117 Morrow Statewide 39119 Muskingum Statewide 39121 Noble Statewide 39123 Ottawa Statewide 39125 Pauldina Statewide 39127 Perrv Statewide 39129 Pickaway Statewide 39131 Pike Statewide Akron Metropolitan Area Jason Segedy 39133 Portage Akron Transportation Study 39135 Preble Statewide 39137 Putnam Statewide Richland County Regional John Adams 39139 Richland Statewide Plannina Commission 39141 Ross Statewide 39143 Sanduskv Statewide 39145 Scioto Statewide 39147 Seneca Statewide 39149 Shelbv Statewide Stark County Regional Dan Slicker 39151 Stark Canton Planning Commission Akron Metropolitan Area Jason Segedy 39153 Summit Akron Transportation Studv Youngstown (partial Eastgate Regional Council R.P. Samulka county model of Governments 39155 Trumbull coverage)

. 39157 Tuscarawas Statewide 39159 Union Statewide 39161 Van Wert Statewide 39163 Vinton Statewide Ohio-Kentucky-Indiana Andy Reser, OKI CincinnatiDayton Regional Council of 39165 Warren Governments +

42+ Miami Valley Regional Ana Ramirez, MVRPC Planning Commission Wood-Washington-Wirt Interstate Planning 39167 Washington Statewide Commission 39169 Wayne Statewide 39171 Williams Statewide Toledo Metropolitan Area SUjatha Mohanakrishnan 39173 Wood Toledo Council of Governments 39175 Wvandot 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 sources which are significant enough 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 Environ1 under contract with LADCO and the aircraft inventory is generated by Ohio EPA.
5.1 Marine Vessel Sources The approach to commercial marine emission estimates needed to be flexible because the activity data was available in manyformats. Emission estimates were determined either by multiplying engine power, load factor, hours peryear ofoperation, or on the basis ofthe numberof gallons offuel consumed. Emissions were determined for ten subclasses ofvessel types: Deep draftvessels (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 ofthe large variety of methodologies employed, inventory tables forthe ten subcategories are detailed in the complete inventory prepared and published by ENVIRON International Corporation: LADCO 2005 COMMERCIAL MARINE EMISSIONS, by Christian E. Lindhjem, March, 2007. Emission totals produced by ENVIRON were proVided to LADCO to submitto EPAfor Ohio's State Implementation Plan (SIP).



### 43

### 5.2 Rail Sources The primary activity unit used to determine emissions is gallons offuel consumed. Emission rates were derived from EPAdocuments provided as support documentation forthe 1997 locomotive emission standards (EPA, 1997). Gallons offuel 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,ll, 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% offuel used and the largest emission's category. The complete emission's inventorywas 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 submitto EPAfor Ohio's State Implementation Plan (SIP).

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



### 5.3 Aircraft Sources INTRODUCTION: The aircraft emission's inventory is derived bytaking the number of Landings and Take Offs (LTOs) peryear and multiplying by an emission factor. In the Ohio inventory when specific aircraft models and engine type emission factors are known they were used. Forthe rest ofthe inventorythe emission factors came from USEPA'sfleet average emissions data. Those results are then compiled as tons peryear per pollutant by county. The following describes the components, methodology, and concludes with a description of an Access based aircraft emission calculator. 

### COMPONENTS:

I. Ohio Airports: A list of both towered and non-towered airports in Ohio is obtained from the Ohio Department ofTransportation. See: www.dot.state.oh.us/aviation/ In conversation with ODOT two individuals stated that the 164 airports listed covered over 90% ofthe airports in Ohio. See Table 1.



### 44

### II. NumberofOperations/LTOs byAirport/County: The ODOT list contained the numberof operations a year perairport. An operation is eithera landing ora take-off. A Landing and Take Off (LTO) is required for FAA EDMS calculations. LTOs were derived simply by dividing the numberof operations by two. These were totaled by county. 

### Table 5-1 Number ofoperations and LTOs for 2005

County AiroortName ID Total Onerations LTOs/Year Adams Alexander Salamon AMT 5210 2605 Allen Allen County AOH 32500 16250 Ashland Ashland County 3G4 49240 24620 Ashtabula AshtabulaCounty HZY 16886 8443 Ashtabula Gennack 7D9 840 420 Athens OhioUniversity UNl 51600 25800 Auglaize Neil Armstrong AXY 29456 14728 Belmont Barnesville-Bradfield 6G5 10150 5075 Belmont Alderman 2P7 6150 3075 Brown Brown County GEO 5157 2578.5 Butler ButlerCountyRemonaJ 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 Chamnahm Grimes Field 174 23480 11740 Champaign Weller 381 300 150 Clark Springfield-Beckley Municipal SGH 64033 32016.5 Clark Mad River 154 15350 7675 Clennont ClennontCounty 169 35741 17870.5 Clinton AirborneAirnark ILN 52000 26000 Clinton Clinton Field 166 29360 14680 Clinton HollisterField 2B6 161 80.5 Columbiana ColumbianaCounty 02G 31146 15573 Columbiana Koons 8G8 2546 1273 Coshocton Richard Downing: 140 19550 9775 Coshocton**Tri~City** 80G 8085 4042.5 Crawford PortBucyrus 17G 24871 12435.5 Crawford Galion Municipal GOO 5216 2608 Cuyahoga Burke Lakefront BKL 97100 48550 CuYaho.a**Cleveland~Honkins** Intemational CLE 234356 117178 Cuyahoga CuyahogaCounty CGP 79774 39887 Darke Darke County YES 9238 4619 Defiance Defiance Memorial DFI 9130 4565 Delaware DelawareMunicipal DLZ 39300 19650 Delaware Packer 5E9 3181 1590.5 Erie Hinde 88D 1350 675 Erie Kelleys**L~land** 89D 25495 12747.5 Erie**Griffing~Sandusky** SKY 112100 56050

45Erie Wakeman 164 17324 8662 Fairfield Miller's Farm 7B4 360 180 Fairfield Fairfield County LHO 43066 21533 Favette FayetteCounty 123 29405 14702.5 Franklin OhioStateUniversity OSU 134459 67229.5 Franklin PortColumbusInternational CMH 218438 109219 Franklin RickenbackerInternational LCK 96200 48100 Franklin Bolton Field TZR 69149 34574.5 Franklin ColumbusSouthwest 041 11833 5916.5 Franklin DarbvDan 616 11260 5630 Fulton Fulton County USE 21123 10561.5 Gallia**Ga1lia~Meigs** Regional OAS 12200 6100 Geaue:a Gates 7D8 4200 2100 Geauga GeaugaCounty 708 5350 2675 Greene GreeneCounty Lewis A. Jackson 119 37400 18700 Greene Bloom 141 100 50 Guernsey Cambridge Municipal CD! 6040 3020 Hamilton Lunken LUK 129430 64715 Hamilton BlueAsh ISZ 35000 17500 Hamilton CincinnatiWest 167 30197 15098.5 Hancock Bluffton 507 71980 35990 Hancock Findlav FDY 19800 9900 Hancock Priebe 7D5 3850 1925 Hardin Ada 0D7 331 165.5 Hardin Hardin County 195 6562 3281 Hardin Elliott's Landing 074 1560 780 Harrison HarrisonCounty 806 11900 5950 Henry Henry County 7W5 15637 7818.5 Highland Highland County HOC 18325 9162.5 Holmes Holmes County 100 21400 10700 Huron HuronCounty 5Al 10100 5050 Huron Willard 801 2715 1357.5 Jackson James A. Rhodes 143 6053 3026.5 Jefferson Jefferson CountyAirpark 202 15969 7984.5 Jefferson EddieDewMemorial 108 3540 1770 Knox KnoxCountv 413 20150 10075 Knox WvnkOOD 604 4691 2345.5 Lake ConcordAiroark 201 4510 2255 Lake WilloughbYLostNationMunicipal LNN 45085 22542.5 Lawrence Lawrence CountyAiroark HTW 41910 20955 Licking Newark-Heath VTA 12457 6228.5 Logan BellefontaineRegional ED! 8325 4162.5 Lorain Columbia 408 5150 2575 Lorain ElYria 101 14300 7150 Lorain Lagrange 92D 1155 577.5 Lorain Lorain CountyRegional LPR 62000 31000 Lorain Reader-Botsford Airfield 67D 18700 9350 Lucas Toledo Express TOL 94600 47300



### 46Madison Madison County UYF 41410 20705 Mahoning SalemAirpark 38D 16920 8460 Mahoning Tn-City 306 10555 5277.5 Mahonine: ElserMetro 404 49232 24616 Mahoning Lansdowne 040 750 375 Marion Marion Municinal MNN 42650 21325 Medina MedinaMunicipal 105 79685 39842.5 Medina WadsworthMunicipal 303 41025 20512.5 Medina Weltzien Skvnark 150 79130 39565 Mercer Lakefield COA 16212 8106 Miami Hartzell Field 117 10200 5100 Miami TroySkypark 371 4264 2132 Miami Waco Field lWF 0 0 Monroe Monroe County 405 3324 1662 Montgomery Brookville**Air~Park** 162 29359 14679.5 Montgomery James M. Cox Dayton IntI DAY 134524 67262 Montgomery Dayton WrightBrothers MOY 89045 44522.5 Montgomery MoraineAiroark 173 12938 6469 Montgomery DahioTrotwood 144 1853 926.5 Montl!omerv Philliosbul'o 317 68000 34000 Morg;an Morgan County 171 5725 2862.5 Morrow MorrowCounty 419 19108 9554 MuskinRUm ZanesvilleMuniciDal ZZV 33312 16656 Muskingum Parr 421 16150 8075 Noble NobleCounty

-MikeBrienzaField 110 5950 2975 Ottawa Middle Bass-EastPoint 3W9 1300 650 Ottawa Middle Bass Island 3T7 6500 3250 Ottawa NorthBass Island 3X5 1000 500 Ottawa Carl R. KellerField PCW 20890 10445 Ottawa**Put-In~Bav** 3W2 15140 7570 Paulding Paulding 2H8 2100 1050 Perry Crooksville 184 400 200 PelTY PerryCounty 186 4550 2275 Pickaway PickawayCounty CYO 35450 17725 Pickawav Clarks DreamStrin 031 2770 1385 Pike PikeCounty EOP 2012 1006 Portage Freedom Air Field 7D6 1623 811.5 Portage Farview 86D 3353 1676.5 Portage Mills 7E3 1050 525 Portage PortageCounty 290 9621 4810.5 Putnam Ruhe's R47 13250 6625 Putnam PutnamCounty OWX 11910 5955 Putnam Ohio DustingCo. 6C2 2995 1497.5 Richland Mansfield Lahm Regional MFD 57518 28759 Richland ShelbyCommunity 120 2012 1006 Ross Ross County RZT 50150 25075 SanduskY Fremont 140 37450 18725 Sandusky SanduskyCountyRegional S24 6148 3074



### 47Scioto GreaterPortsmouth Relrional PMH 45830 22915 Seneca BanditField 5D9 140 70 Seneca FostoriaMetronolitan FZI 7900 3950 Seneca Weiker 82D 320 160 Seneca Seneca County 160 60165 30082.5 Shelby SidneYMunicipal 112 20500 10250 Stark Barber 2DI 13750 6875 Stark MillerAiTDort 403 8000 4000 Stark BeachCity 2D7 6112 3056 Summit Akron Fulton International AKR 26000 13000 Summit Akron-Canton Regional CAK 120441 60220.5 Summit Mayfield ID4 450 225 Summit Kent StateUniversity 103 72500 36250 Trumbull Braceville 41N 425 212.5 Trumbull Warren 62D 14738 7369 Trumbull YoungstoWIl-WarrenRegional YNO 98298 49149 Tuscarawas HanyCleverField PHO 54880 27440 Union Union County MRT 31886 15943 Van Wert Van WertCounty VNW 20516 10258 Vinton Vinton Countv 221 5225 2612.5 Warren Warren County 168 24951 12475.5 Warren Red StewartAirfield 401 16800 8400 Wavne WavneCounty BJJ 96520 48260 Williams Williams Countv 006 10010 5005 Wood Wood County 1G0 27405 13702.5 Wood Bordner 308 2200 1100 Wood DeshlerMunicipal 607 2000 1000 Wood Metcalf TDZ 90700 45350 Wyandot WyandotCounty 56D 7410 3705



### III. Aircraft Models and Numberof LTO/yr: Specific aircraft models by airport (generallythe largerairports) is obtained from "Table 

### 7" provided by the United States Department ofTransportation, Office ofAirline Information. This provided the numberof LTO's for each aircraft model peryear per airport. Table 2. Sample from "Table 7." This is the all community total ofaircraft models for the Akron/Canton area. "All SeNice" departures were used as the numberof LTOs per yearforthat model. Listed in the original table are aircraft model by airport and number ofseNices/LTOs.

48TOTAL 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-I00/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: Wherethere 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 air quality at civilian airports and military air bases. The model was developed by the Federal Aviation Administration (FAA) in cooperation with the United States Air Force (USAF). The model is used to produce an inventory ofemissions generated by sources on and around the airport or air base, and to calculate pollutant concentrations in these environments.



### 49

### 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 of2005 Aircraft Inventory Emissions Factors FFi' 

### ii iiii:;Xi 

### ;**iLJiiifffiitt~<1** ;x ii}<X 

### X «,irr<:;ii!i iFiii!!i/!, id.;X;

### iXi'.Ai~g~~if~ii~!i!M;i 'co! !N6f! iF 

### 'Hci i\i'6ci XiisoZiX 

### XidPMZ;S dddPM16}, A-318 19.8 18.7 4.0 4.4 1.5 0.0 0.0 A-300-600/R1CFIRCF 27.1 56.4 2.0 2.2 4.0 0.2 0.2 A-300B/(yF-I00/200 30.2 52.5 3.5 3.7 3.3 0.2 0.2 A-310-200C/F 32.6 52.5 7.3 79 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 AVROLlNERRJ85 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 1900AIB/C 11.0 1.1 3.3 3.5 0.2 0.0 0.0 BEECH KlNGAIR 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 0.0 737-7001LR 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 CANADAIRRJ100/ER 16.3 4.9 1.5 1.8 0.7 0.0 0.0 CANADAffi 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 CONVAffiCV-580 36.2 0.9 8.8 9-5 0.7 0.0 0.0 DASSAULTFALCON 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 DORNIER328 JET 1.3 6.6 11.9 12.6 0.7 0.0 0.0 DOUGLAS DC-I0-I0 102.5 76.7 38.6 42.1 4.2 0.0 0.0 DOUGLAS DC-IO-30 45.4 78.7 5.3 5.7 5.1 0.4 0.4



### 50DOUGLAS DC-IO-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 JETSTREAM41 4.6 2.0 0.4 0.7 0.2 0.0 0.0 1.-1011011100/200 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 1.100-30 48.7 9.9 19.6 21.4 1.8 0.0 0.0 MD-1I 47.8 93.3 4.0 4.4 6.0 0.7 0.7 MD M80,1 2,3,7,8 16.3 20.3 0.0 0.0 2.2 0.2 0.2 M1J..90 12.1 23.8 0.2 0.2 2.0 0.2 0.2 RJ-200ERlRJ-440 16.3 4.9 1.5 1.8 0.7 0.0 0.0 SAAB-FAlRCRD 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 defaultfleet average emission factors were taken from "Documentation for Aircraft, Commercial Marine Vessel, ,Locomotive, and Other Non-road Components ofthe National Emissions Inventory. 2005, see 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 Emission Factor Categories Fleet emission factors were broken down into three categories. Itinerant General, Local General, and Military. Table 5-3a Fleet Average Emission Factors for Itinerant General Aircraft. (Taken

### from' Table A·5) 

### Pollutant Emission Factors (lbs/LTO) HC 1.234 NOx 0.158 CO 28.13 SOx O.ol5 PM10 0.60333 

### Note: AirtaxiHCemissions 

## * VOC/HC(0.9914) conversionfactor = airtaxi VOCestimate

51Table 5-3b Fleet Average Emission Factors for Local General Aircraft. 

### (TakenFrom· Table A-l1) Pollutant Emission Factors (lbs/LTO) HC 

### 0.394 NOx 

### 0.065 CO 

### 12.014 SOx 

### 0.01 

### PM10 0.2367 Note: GA HCemissions

## * VOC/HC(0.9708) conversionfactor = GA VOCestimate

Table 5·3c Fleet Average Emission Factors for MilitaryAircraft. 

### (Taken from: TableA-17) Pollutant Emission Factors (lbs/LTO HC 

### 1.234 NOx 

### 0.158 CO 

### 28.13 SOx 

### 0.015 

### PMIO 0.60333 Note: MilitaryHCemissions 

## * VOC/HC(1.1046) conversionfactor = Military VOCestimate



### METHODOLOGY Introduction The following information was considered in the development of emission estimates: 1. Commercial scheduled and non-scheduled aircraft air carrier activity and commercial airfreight activity by aircraft model types, 2. General aviation and airtaxi annual local and itinerant operations for year 2005, 3. Militaryannual local and itinerant operations for year2005. Due to the need to have aircraft operations information expressed as landing/take off (LTO) cycles, the following assumptions were made: 1. For commercial aircraft and commercial airfreight activity, the numberof annual aircraft annual LTO cycles was assumed to be equal to the numberof



### 52

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

2. Forgeneral aircraft annual local and itinerant airport operations, each respective operations total was divided by 2 to obtain 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 operations, each respective operations total was divided by 2 to obtain the corresponding year local and itinerant LTO cycles. The expected military daily local and itinerant LTO cycles then were obtained by dividing these annual totals by 365. Airport L TO cycles were further categorized into commercial aircraft by plane and engine type, general aviation itinerant aircraft of unknown aircrafttype, general aviation local aircraft of unknown aircrafttype, and military aircraft. This was necessary in order to utilize the U.S. Department ofTransportation, Federal Aviation Administration EDMS Emissions and Dispersion Modeling System. Commercial and airfreight aircraft emission factors per LTO cycle were determined using EDMS for each commercial aircrafttype models where possible were used at each towered airport. Default commercial aircraft engine type, and Environmental Protection Agency (EPA) default time in mode values fortakeoff, approach, and landing roll times were used in the EDMS model simulations. Forthose aircrafttypes that could not be determined using the EDMS emissions model, aircraft emission factors based upon EPA alternative fleet average procedures were then used to estimate their emissions. These included general aviation and airtaxi itinerant aircraft of unknown aircrafttype, general aviation local aircraft of unknown aircrafttype, 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% ofthe airports was obtained from the Ohio Department of Transportation. These were classed by airport, county, aircraftflight classification, and the total numberofoperations peryear. 2. The numberof operations (a landing or a take off) were then divided bytwo giving the numberof LTOs peryear perairport. These airports were combined by countyfor the total numberof LTOs peryear, percounty. 3. In dialog with ODOT itwas determined that the following Ohio flight groups of aircraft be combined to match the three categories used by the USEPA in calculating emissions.



### 53

### Itinerant (General, air carrier, commuter, airtaxi, general aviation itinerant) 

### Local (General aviation local) 

### Military (Military)

4. LTOs for specific models ofaircraft per airport were taken from the FAA Table 7. See 

### Table 2 above. These were then combined to give the numberof LTOs peraircraft model per county. Specific model LTOs were subtracted from countytotals to avoid double counting those LTOs. 5. Emission factors were determined from the FAA's EDMS program 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 ofthe aircraft flown in Ohio.

. Where specific aircraft model data was not available USEPA average fleet emissions were used. 6. Emission factors times LTOs by county yielded tons peryear per county. 

### Table 5-4 Pollutant by County (Sample)

County ADAMS ADAMS ADAMS ADAMS ADAMS ADAMS ADAMS ALLEN ALLEN ALLEN ALLEN ALLEN ALLEN ALLEN ASHLAND ASHLAND ASHLAND ASHLAND ASHLAND ASHLAND ASHLAND ASHTABULA ASHTABULA ASHTABULA POLLUTANT CO HC NOX PM1O-PRl PM25-PRl SOX VOC CO HC NOX PMIO-PRl PM25-PRl SOX VOC CO HC NOX PMIO-PRl PM25-PRl SOX VOC CO HC NOX ACTIVITY(LTOSIYEAR) 2605 2605 2605 2605 2605 2605 2605 16250 16250 16250 16250 16250 16250 16250 24620 24620 24620 24620 24620 24620 24620

8863 8863 8863 ACTIVITY(LTOSIDAY) 7.136986 7.136986 7.136986 7.136986 7.136986 7.136986 7.136986 44.52055 44.52055 44.52055 44.52055 44.52055 44.52055 44.52055 67.45205 67.45205 67.45205 67.45205 67.45205 67.45205 67.45205 24.28219 24.28219 24.28219 EMISSIONS(TONIYEAR) 24.552325

0.977285 0.136045 0.513114825 

## o 0.0157875 0.96314234 147.945065

5.841097 0.827189 3.081191265 

## o 0.0984575 5.769568254 173.67794

6.19414 0.94895 3.532515 

## o 0.1311 6.07175247

78.115087

3.042551 0.431593



### 54

### ASHTABULA PM1O-PRI 8863 24.28219 1.623493455 

### ASHTABULA PM25-PRI 8863 24.28219 0 

### ASHTABULA SOX 8863 24.28219 0.0520325 

### ASHTABULA voe 8863 24.28219 2.99420213 

### ATHENS CO 25800 70.68493 196.874985 

### ATHENS He 25800 70.68493 7.267183 

### ATHENS NOX 25800 70.68493 1.081521 

### ATHENS PMI0-PRI 25800 70.68493 4.037266335 

### ATHENS PM25-PRI 25800 70.68493 0 

### ATHENS SOX 25800 70.68493 0.1420925 

### ATHENS voe 25800 70.68493 7.128180006



### 7. Emissions were then summed by pollutants 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 submitted to LADCO in April, 2007 contained an error. The inventory submitted in May, 2007 has the errorcorrected. The errorwas the. result of a carry-overfunction in Access that picked up the numberof operations as instead of LTOs

....which made the inventory exactlytwice as large as what it really was.


### ACCESS CALCULATOR Introduction: Ourdatabase programmerset up Access application to calculate Ohio's aircraft emission inventory, and export those results to Excel. His utility allows for easy modification ofthe aircraft data to match future data scenarios. Outputto Excel also allows for additional data manipulation and importation.



### 55GotoData: HoViro USe:', Interface: H!!I:ElIE( 'gcit,,"!liew**~ow ,,~**  

### .C---- 31**""~.** 

### ., 6 Z M

### I'" iii 

### 'l1!.liI-!A.·,,,·I· ·1**~'.** I ·!1lOl

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### Ii!ll " I I**~j** 

### xli ''i' '§ \? 

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### IIlli'1 ii:l lim '!I'O •

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### ..,IBf)JMOai,

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### ii!I @l0 If!! I'iKNIl!ll!JIJ(ll54' '''''M Through this interface the following sets of data can be edited/updated: Airport activity, emission factors, specific airport emissions, state/county FIPS, detailed aircraft information, airport information, and aircraft SCCs. Once the final emissions have been calculated and summed, then the data can be export via the export function on the Main Menu.

56IJ ' 

# Appendix C-1

... Mobile Source Emissions

# Invenlo~ for theWbeeling**PM2~5** 

# Nonattainment Area

# BELOMAR REGIONAL COUNCIL Transportation Air Quality Analysis and Technical Documentation

State Implementation Plan Inventory Mobile Emission Estimates For the U.S. EPA Daily PM2.5 National Ambient Air Quality Standard
Submitted: September 2011

Prepared By: 

### Bel-O-Mar Regional Council 105 Bridge Street Plaza Wheeling, WV 26003 www.belomar.org 

## '[f@'+§!"gwiiH
Ohio Department ofTransportation 1980 West Broad Street Columbus, OH 43223 http://www.dot.state.oh.us/Divisions/Planning/SPR/
Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard**~lUll** 1TABLE OF CONTENTS Introduction Page 3 OnRoadMobile Emission Summary Page 3 LatestPlanning Assumptions Page 6 LandUse Data Page 6 Travel Modeling Page 8 EmissionFactorGeneration Page 8 Temperature andRelative Humidity Page 10 Ramp Fraction Page 10 SourceTypePopulation Page 11 VehicleAge Distribution Page 12 RoadTypeDistribution Page 13 PostProcessing Page 14 AppendixA

- Interagency ConsultationDocumentation LIST OF TABLES Table 1 BelomarRegion On-RoadMobile Emissionsby State andCounty (2005 & 2008) Page4 Table 2 BelomarRegion On-RoadMobileEmissions by State and County (2015 & 2022) Page 5 Table 3 BelomarRegion LandUse DataUsedforTraffic Forecasting Page 6 Table4 MOVES Inputs Page9 Table5 AverageTemperature andRelative HumidityData Page 10 Table 6 Source TypePopulation forYear2005 Page 11 Table 7 Vehicle Age Distribution forBelmontCounty, OH (2005) Page 12 Table 8RoadTypeDistribution for Ohio-Marshall-BelmontNon-AttainmentArea Page 13 LIST OF FIGURES Figure 1 Non-AttainmentAreaBoundary Page 3 Figure 2 Geographic AreaCoveredbyTravelDemandModel andTraffic Zone Structure Page 7 SELECTED ABBREVIATIONS & ACRONYMS DOT

- DepartmentofTransportation EPA

- Environmental ProtectionAgency FHWA

- Federal Highway Administration; FTA

- FederalTransitAdministration; LRTP

- Long Range TransportationPlan MOBlLE6

- Mobile Source EmissionFactorModel MOU

- MemorandumofUnderstanding MPO

- MetropolitanPlanning Organization MVEB

- MotorVehicleEmissions Budget NAAQS

- National AmbientAir Quality Standard NOx

- Nitrogen Oxides PM2.5

- ParticulateMatterwith an aerodynamic diameterless than 2.5 microns (oftenreferredto as Fine ParticulateMatter) PMlO

- ParticulateMatterwith an aerodynamic diameterless than 10 microns SIP

- State ImplementationPlan TAZs

- Traffic Analysis Zones TDM

- Travel Demand Model VMT

- Vehicle Miles ofTravel TIP

- Transportation ImprovementProgram TCM

- Transportation Control Measure TIP

- TransportationImprovementProgram VOC

- Volatile Organic Compounds
Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997Annual PM2.5 National Ambient Air Quality Standard 

# mml 2INTRODUCTION This memorandumdocuments the airquality analyses andunderlying planning assumptions performed by the Ohio Department ofTransportation (ODOT), DivisionofTransportation SystemDevelopmentModeling andForecasting Sectionandthe BelomarRegional Council forthe Annual PM2.5 on-roadmobile source emission inventories fortheWheeling-BridgeportWV/OHMetropolitan area State hnplementationPlan (SIP) incoordinationwiththe Ohio Environmental ProtectionAgency (OEPA) andWestVirginiaDepartmentof Environmental Protection (WVDEP). TheBelomarRegionis comprisedofthe counties ofOhio andMarshall in the northpanhandle ofWestVirginiaandBelmontin east-central Ohio. OnJanuary 5, 2005, the USEPA designated all three counties as non-attainment forthe PM2.5 airquality standard. The designationbecame effective onAprilS, 2005; 90 days afterUSEPApublishedactioninthe FederalRegistry. Figure I displays the geographic extentofthe Belomarregionnon-attainment area.**·~···.·:Nt'W** Vnmlnban 

### , j L

.. 

## LEGEND



# o Donut (New Deslgn.e.tlon) 

# (J:;J rt"ovel Demond Model Areo V 

## EJ 8-Ht"**Non-At~lnment** Areo**JJ'(lM~urg** Figure 1 NON-ATTAINMENT AREA BOUNDARY

IIrmwor.g•.**~,;I<** ON ROAD MOBILE EMISSION SUMMARY Tables 1 and 2presenta sununary ofthe pollutantemissions including FineParticulate Matter (PM2.5) and Nitrogen Oxides (NOx modeled for eachcounty thatmake up the BelomarRegion. TheModel Years for the demonstrationincludes the Base Year2005, AttainmentYear 2008, InterimYear2015, andMaintenance Year 2022. Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard 8/11/11 3Table I BELOMARREGION ON-ROADMOBILEEMISSIONS BY STATE AND COUNTY (2005 & 2008)
MOBilEAIRQUAUTY ANALYSIS FORTHE WHEEUNG METROAREA ,BELMONT COUNTY 'OHIO OHIO COUNTY WV 'MARSHAll 'COUNTY ,WV TOTALS METRO AREA TOTALS
YEAR 2005 NETWORKVMT YEAR 200S INTRA20NAlVMT YEAR TOTALVMT YEAR 2005 VEHICLES 2,350,331 1,176,894 670,974 100,301 40,422' 46,756' 2,460,632

... 1,217,316, 717,730' 78,850 36,912 23,102 1,847,868 4,208,199 87,178 187,479 -.,·-.·'',..------.·.----------.--.-i 1,935,046 4,395,678 60,014 138,864

INTRAZONAlEMISSIONS: NETWORKEMISSIONS:

(TONSjVEAR! 

## 'VEHI':LE-BASE[')EMiSSioNS:

(TONS/YEAR! TOTALEMISSIONS:

(TONSjVEAR! NOX
PM 2.5 NOX
PM 2.5 NOX S02 PM 2.5 NOX S02 PM 2.5 2663.73 28.87 90.26' 126.58 1.50 5.44 389.20

0.47 10.04 3179.52 30.84 

## 105.74 1013.61 14.67 35.15 36.35

0.62! 1.75 179.73;

0.26! 3.56 1 1229.69'

. 15.55! 40.46 1 578.27 8.47' 21.64' 45.19

0.69: 2.04 111.76'

0.15! 2.68 735.22 9.31, 26.37 1591.87 23.14 56.79 81.54

1.31 3.80 291.49

0.40 6.24 1964.90

24.86' 66.83 4255.61, 52.01 147.06 208.12 2.81 9.23 680.69

0.88 16.28 5144.42 55.70 172.57
YEAR2008 NETWORKVMT YEAR 20081NTRAZONAlVMT YEAR 2008TOTALVMT YEAR2008VEHICLES 2,379,195: 1,468,085 : 689,233 : 96,206 40,264 43,412 2,475,401

... 1,508,349 732,645 79,365 37,164 23,259 2,157,318, 4,536,513, 83,676' 179,882

1
.,... , .. _-------.--,.. 2,240,994: 4,716,395, 50,423' 139,788 '

fTONS(YEARI NETWORKEMISSIONS:

(TONS/YEAR! TOTALEMISSIONS:

(TONS/YEAR) INTRAZONAlEMISSIONS: 3468.45 16.39 123.48 157.83

0.80 7.23 645.14

0.58 13.43 4271.41 17.78 144.14 1348.31' 7.77 47.52' 

## 6lJAi

0.37 2.74 269.11

0.26' 5.22 1677.83 8.40: 55.48' 439.86: 2.56, 16.32: 31.32 1

0.18' 1.42 1 103.11!

0.11' 2.01: 574.29; 2.85: 19.75' 908.45' 5.22: 31.21! 29.091,

0.18' 1.31 166.00

0.15 3.21 1103.54 5.55' 35.73' 2120.14' 8.61 75.96' 97.42!

0.44' 4.49 376.02

0.33 8.21: 2593.58 9.38 88.66' NOX S02 'PM2.5 'NOX S02 (TONSjVEAR! PM 2.5 VEHICLE-BASEDEMISSIONS: NOX S02 PM 2.5 NOX S02 PM 2.5

Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997Annual PM2.5 National Ambient Air Quality Standard 8/11/11 4Table 2 BELOMARREGION ON-ROAD MOBILE EMISSIONS BY STATE AND COUNTY (2015 & 2022)
MOBILEAIRQUALITY BELMONT OHIO MARSHAll METRO ANALYSIS FORTHE :COUNTY COUNTY COUNTY WV AREA WHEELING METROAREA OHIO WV WV TOTALS TOTALS
YEAR2015 NETWORKVMT 2,448,253 1,572,503 722,761 2,295,264 4,743,517 YEAR2015INTRAZONAlVMT 89,049 40,218 38,480 78,698 167,747 YEAR2015TOTALVMT 

# .. 761,241 2,373,962 4,911,264 2,537,302. 1,612,721 YEAR2015VEHICLES 80,653 37,680 23,582 61,262 141,915
NETWORKEMISSIONS: NOX 976.56 375.29 176.81 552.10' 1528.66 'S02 6.10 3.83 1.86 5.69 11.79 (TONS/YEAR) PM 2.5 38.00 15.66 7.92 23.58 61.58 INTRAZONAlEMISSIONS: NOX 40.44 10.99 10.48 21.46 61.90 S02 0.29 0.15 0.11 0.26 0.55 (TONS/YEAR) PM 2.5 2.15 0.66 0.58 1.24 3.39 VEHICLE-BASED EMISSIONS: NOX 262.25, 100.01 61.83 161.84 424.09 S02 0.33 0.15 0.11 0.26 0.58 (TONS/YEAR) PM 2.5 4.93 1.97 1.24 3.21 8.14 TOTALEMISSIONS: NOX 1279.25 486.29 249.11 735.40 2014.65 S02 6.72 4.12 2.08 6.21 12.92 (TONS/YEAR) PM 2.5 45.08 18.29 9.75 28.03 73.11
YEAR2022 NETWORKVMT 2,514,213 1,700,074 752,735 2,452,809 4,967,022 YEAR 20221NTRAZONAlVMT 85,605 45,660 34,536 80,196 165,801 YEAR 2022TOTALVMT 2,599,818 1,745,734 787,271 

# .. 2,533,005

. 5,132,823 YEAR2022VEHiClES 81,957 39,152 23,102 62,254 144,211
NETWORKEMISSIONS: NOX 423.51 202.28 90.41 292.69 716.20 S02 5.66 3.69 1.72 5.40 11.06 (TONS/YEAR) PM 2.5 21.50 10.99 5.58 16.57 38.07 INTRAZONAlEMISSIONS: NOX 16.24 6.02 4.56 10.59 26.83 S02 0.26 0.11 0.11 0.22 0.47 (TONS/YEAR) PM 2.5 1.17 0.47 0.37 0.84 2.01 VEHICLE-BASED EMISSIONS: NOX 147.86 62.63 36.17 98.81 246.67 S02 0.29 0.15 0.07 0.22 0.51 (TONS/YEAR) PM 2.5 3.65 1.57 0.91 2.48 6.13 TOTALEMISSIONS: NOX 587.61 270.94 131.14 402.08 989.70 S02 6.21 3.94 1.90 5.84 12.05 .LLQl'\!SfYEARI PM 2.5 26.32 13.03 6.86 19.89 49,21.

Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard**~01** 5LATESTPLANNINGASSUMPTIONS The annual PM2.5 inventoryruns meetthe latestplanning assumptionrequirement. Thisreportpresents the latest population andlanduse data available thatcalibratedthe modeling process usedto calculate the vehicle emissions forthe mobile emissions budgets as well as the inputvalues forU.S. EPA's most recent emissions software (MOVES) forthis attainmentdemonstration. A series ofconference calls held during the winterof20I0/2011 by the Interagency Consultancy Group establishedtwo parameters. First, thatthis re-designationeffortwillrequire the use ofMOVES software forall mobile sourceemission analyses and second, the annual emission estimates willbebased a single-season approach. LAND USE DATA: Travel analysis zones (269 inthe 3-county area) and externalroadway "stations" (31) are thebasic geographic units for estimatingtravelpatterns. Socioeconomic datausedto forecastthesepatterns showninTable 3 include householdpopulation, school enrollment, vehicleregistrations, laborforce participation, andemploymentby category andlocation. Sources foryear2000 dataincludethe 2000 Census (primarily SFI blockdata), state vehicleregistrationfiles, and QCEWIES202 employment data. All data sources were geocoded to the zone level. Future yeardata foreach variable were projectedtbrough various methods. More detailed explanationofbase yearand future yeardata generation foreach ofthe above-mentioned categories ofplanning data follows. Figure 2 displays the zones boundaries intheregion. Table 3 BELOMARREGIONLAND USE DATAUSED FORTRAFFIC FORECASTING SOCIO-ECONOMIC DATA: YEAR: 2000' 2035 RETAIL EMPLOYEES (SIC 52-59): DOWNTOWN MAJOR MALLS (OHIO VALLEY) OTHER SERVICElGOVT. EMPLOYEES (SIC 60-99): ,PRIVATE SCHOOLS K-12: PUBLIC ELEMIMID SCHOOLS: PUBLIC HIGH SCHOOLS: POST SEC.ITECH COLLEGES DTOWNIGOVTIMEDIMAJOR SITES (>50 EMP): OTHER: OTHER EMPLOYEES (SIC 01-51): AGIMININGJCONST. (SIC 1-19) MANUFACTITCPU (SIC 20-49) TRUCKTRANSPORTATION (SIC 42) ,WHOLESALE TRADE (SIC 50-51) TOTAL DWELLING UNITS: VEHICLES PER DU: PERSONS PER DU: WORKFORCE PER DU: SCHOOL ENROLLMENT PER DU: 615 689 3,335 5,020 12,798 15,312 374 374 2,161 2,161

806 806 1,083 1,083 21,094 42,291 19,012 13,925 7,757 5,910 8,774 8,289

589' 1,511 3,547 3,980 68,740 72,628

1.64 1.77 2.21 2.11 1.02 1.02 0.47 0.45 Formost future-year socio-economic data, Belomar staffuses countylevelprojections as preparedbyWoods and Poole. Allocations ofcounty-level totalsby zone are documentedinthe BOMTS report "BOMTS Traffic Zone Data for 2025" withmodifications sincethe date ofthereport, based onplans submitted formajorland developments (such as Cabela's, CenterWheeling, andproperties nearthe Ohio ValleyMall). Woods and Poole's employmentprojections atthe countylevel are used as controltotals for developing TAZlevel employmentby service, retail andmanufacturing. TheWoods andPoole's projection at countylevel is Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997Annual PM2.5 National Ambient Air Quality Standard**~ml** 6disaggregated from a national level employmentprojection. The nationalprojection is developedusing an export base approach. Regional differences are consideredbefore county level employmentis disaggregated. In assigning employmentto zones, itis assumedthatnew sites with developedinfrastructure willhave alarger share offuture employment. Giventhe topography oftheregion, itis assumed generallythatnew developmentwill mostly occurin oneeast-westtravel corridor(I-70/US40) and onenorth-south corridor (Ohio Route 7 and US2501WV Route 2 along the Ohio River). In BelmontCounty, however, additional development is expected along SR331 andin areas surrounding the urban core. Due to a scarcity ofdevelopable landin Ohio County, developmentwill occuron sites thatare generally flat andcanbe adequately serviced. In addition, overtime, generally flat landinthe valley will selectively go throughplannedlanduse changes to optimize economic development. Figure 2 GEOGRAPIDC AREA COVERED BY TRAVELMODEL AND TRAFFIC ZONE STRUCTURE

Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National AmbientAir Quality Standard 8/11/11 7TRAVELMODELING: A travel demandmodel (TDM) is the traditional forecasting tool usedto examinepotential changes in future travelpatterns. Theroadnetworks within theminclude allplanned federal-aidprojects as well as any regionally significantprojects found inthe TIP andLRTPexpectedto be openfortraffic by the endofeach respective analysis year. All projects identifiedinthe LRTP having animpactontravel time and/orvehicle carrying capacityregardless offunding source were includedinthe airquality analysis. Trip generation figures by zone, with someexceptions, are assumedto change linearly withtimebetween 2000 andthe PlanHorizonyear of2035. The Wheeling areatravel demandmodel networkcovers about 1500miles ofstreets andhighways inthe 3-county areaincluding all collectorand arterial streets, andhasbeen validatedto observedtraffic foryear2000. Landuse datacomes fromthe Census, ES202 employmentreporting, and local vehicleregistrations. Atrip generation model wasborrowed from anotherurban area and adjusted as needed for local landuse data. Thehourly distribution oftrips by trip purpose and direction are constrainedto matchthe hourly distribution oftraffic counts. Trip distribution also begins with atrip-length distributionbypurposeborrowed from anotherurban area and adjusted to ensure modeledVMTmatchedHPMS estimates ofVMT within 1% inthe modelbaseyearof2000. (Home-basedworktrips were separatelyconstrainedto atargetaverage valuebased on the 2000 Census.) The 3-countymajor streetnetworkusedinthe modeling was developedfromthe local planning agency's digital streetnetwork (originating from the U.S. Geological Survey). The modeling softwareprogramutilizes hourly saturation flow rates thatare calculatedbasedonroadinventory data, roadway type, andthe 2000 version ofthe HighwayCapacityManual (HCM). Coded speeds by streetsegmentare afunction ofroadtype andposted speed limits and arebasedonthe Ohio statewide travel time studyconductedin 2000 (available onthe web at http://www.dot.state.oh.us/urbanldata/statewid/report.doc ) using the "runtime" version ofspeeds without intersectiondelays. The model softwareprograminternally estimates additional travel times for vehicles that stop for traffic control (stop signs andredlights) basedonHCM methods andmodeledtraffic patterns. The traffic assignmentRMS (rootmean square) errormeets FHW A!ODOTstandards for all specified volume groups. OverallmodeledVMT for 2000 was less than 1% differentthan HPMS estimatedVMT. Freeways (federal functional class codes 1, 11, and 12) were within 2% ofestimatedVMT. The interagency consultationprocess, aspreviously discussed, establishedthe following model years for Ohio and Marshall counties, WV andBelmont County, OH thatreflectedthe mostrecentcorrespondence fromthe U.S. EPA: Analysis Year2005

- Baseline Emissions Analysis Year2015

- InterimYear Analysis Year2008

- Attainment Year Analysis Year2022

- Maintenance Year EMISSIONFACTORGENERATION TheMOVES model generatedthe emission factor files were forbaseyear-2005 and attainmentyear-2008 representing the transportation improvementprograms implementedinthe BelomarRegion. The model also generatedemission factors fortwo future year scenarios 2015 and 2022. Table4 summarizes the settings usedinthe MOVES run specification file andthe MOVES County-Data Manager. The subsequenttables providethe specific inputs thatare notusing the MOVES defaultvalues.

Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National AmbientAir Quality Standard 8/11/11 8

### T bl 4 MOVES I a 

### e 

### - nputs RunSpec Parameter Settings MOVES Version 2010/08/26 Scale CustomDomain MOVES Modeling Technique EmissionFactorMethod Rates perDistance, Rates perVehicle Time Span Time Aggregation: Hour 1 Monthrepresenting average annual temperatures All hours ofday selected 16 speedbins, Weekdavs only Geographic Bounds BelmontOH, Ohio WV, Marshall WV counties Vehicles/Equipment All source types, gasoline and diesel RoadType All roadtypes including off-network Pollutants and Processes NOx, All PMz.5 categories, SOz, Total EnergyConsumption Strategies None General Output Units = grams,joules andmiles OutputEmissions Time = hour, Location = custom area, on-road emissionrates byroad type and source usetype. CountyDataManager Sources SourceType Population Combinationoflocal and default data Local data (Ohio andWestVirginia) from motorvehicle registration Defaultdataused for source types 51, 52, 53, 61, and 62 Future year growthrate based onMPO model Householdgrowthrate. Vehicle Type VMT Combinationoflocal and default data HPMSVTypeYearVMT = dailyVMT from travel demandmodel monthVMTFraction = default dayVMTFraction=default hourVMTFraction=local IIMProgram None Fuel Formulation Default Fuel Supply Default MeteorologyData Local data obtained from NOAANational Climatic DataCenter. Data will consistofmonthlyhigh and low temperatures and daily relative humidity for 2002. Ramp Fraction Using thebase yeartravel demand model forVHT fractions. RoadType Distribution Use ODOT andWV Division ofHighways county summaryVMT categorizedby federal functional classes Age Distribution Combination oflocal and default data. Local data (Ohio andWestVirginia) from motorvehicle registration Defaultdataused for source types 41, 42, 43,51,52,53,61, and 62 The same age distributionwillbe used for all analysis years Average SpeedDistribution Default Alternative Fuel Type Default

- Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport. WV-OH For the U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard 8/11/11 9TEMPERATURE AND RELATIVE HUMIDITY The single season approachfortemperature andrelativehumidity uses weatherdatacollectedbythe National Oceanic andAtmospheric Administration (NOAA) National ClimaticDataCenter(NCDC). The datausedin this report, taken from theWheeling Airportcollection center, isrepresentative of12months in 2009. Data entered into a spreadsheetprovidedbyU.S. EPAconvertedtheMobile6 to getthe correctdata for theMOVES model. Table 5 below contains the average annualhourly temperatures andrelativehumiditydistributionprofiles used for the Belomarregion.

TableS AVERAGE TEMPERATURE AND RELATIVE HUMIDITY DATA
Time of Day Average Temperature Average Relative Humidity(%) Midnight 47.2 79.7 lAM 46.1 67.1 2AM 45.2 80.7 3AM 44.6 82.9 4AM 44.1 83.8 5AM 43.6 84.1 6AM 43.1 82.6 7AM 43.5 79.6 8AM 45.9 74.8 9AM 49.6 70.1 lOAM 53.5 65.7 llAM 56.8 62.0 12PM 59.7 59.8

lPM 61.3 58.2 2PM 61.9 57.4 3PM 62.0 57.3 4PM 61.6 58.3 5PM 60.5 61.2 6PM 58.6 65.3 7PM 56.2 69.2 8PM 53.7 66.1 9PM 51.6 74.3 10 PM 50.1 75.7 11 PM 48.6 78.1

RAMPFRACTION The Vehicles HourofTravel (VHT) fractions fromthe travel demandmodel wereusedto derive the Ramp Fractionvaluesneeded fortheMOVES modelprocedures (approximately4% inBelmontcounty Ohio, 8% in Ohio countyWestVirginia, and 3% inMarshall countyWestVirginia).

Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997Annual PM2.5 National Ambient Air Quality Standard 

### MUll 10SOURCE TYPE POPULATION A combination oflocal andMOVES defaultdatais the SourceTypePopulationfor vehicle classifications. The MOVES default values providedthe data forvehicle SourceTypes 51, 52, 53, 61, and 62 while local data from Ohio andWestVirginiamotorvehicle registrations accounted for all other SourceType Populations neededto run the MOVES model. Table 6 shows the SourceTypePopulationidentifications, the corresponding Source Type Name, andthe numberofvehicles analyzed forBelmontCounty, ORand Ohio/Marshall County, WV combined.

Table 6 SOURCE TYPE POPULATIONFORYEAR2005

year SourceType Belmont# Marshall co # Ohio co# 2005 11 MotorCycle 4724 937 1149 2005 21 PassengerCar 48706 9650 178S2 2005 31 PassengerTruck 22592 9946 14061 2005 32 LightCommercial Truck 602 1755 2285 2005 41 Intercity Bus 58 5 16 2005 42Transit Bus 2 3 9 2005 43 School Bus 127 99 51 2005 51 Refuse truck 35 8 14 2005 52 Single UnitShort-haulTruck 14 461 818 2005 53 Single Unit Long-haul Truck 55 53 93 2005 54 Motor Home 165 21 48 2005 61 Combination Short-haulTruck 786 78 245 2005 62 Combination Long-haul Truck 984 86 272

Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National AmbientAir Quality Standard 8/11/11 11VEmCLE AGE DISTRIBUTION A grouping ofdatafrom Ohio and WestVirginia sources along withtheMOVES model defaults make up the VehicleAge Distribution. MOVES defaultvalues includedVehicleType ID 41, 42,51,52,53,61, and 62. Local data from Ohio andWestVirginiamotorvehicleregistrations accountedfor all otherVehicleType ID. Table 7 shows a sample VehicleAge DistributionBy Source Type forBelmontCounty, OHin 2005. Table 7 VEmCLE AGE DISTRIBUTIONBY SOURCE TYPE FORBELMONT COUNTY, omo IN 2005

vearid aqeid 11 21 31 32 41 42 43 51 52 53 54 61 62

2005 0 0.003 0.004 0.006 0.010 0.000 0.000 0.023 0.000 0.000 0.000 0.003 0.003 0.011 2005 1 0.025 0.020 0.022 0.028 0.053 0.000 0.031 0.000 0.000 0.000 0.018 0.012 0.033 2005 2 0.052 0.033 0.047 0.069 0.026 0.000 0.047 0.000 0.000 0.000 0.033 0.024 0.018 2005 3 0.068 0.039 0.051 0.066 0.026 0.000 0.055 0.286 0.286 0.286 0.039 0.028 0.096 2005 4 0.085 0.042 0.061 0.068 0.316 0.000 0.047 0.000 0.000 0.000 0.030 0.037 0.079 2005 5 0.083 0.048 0.076 0.025 0.079 0.000 0.016 0.000 0.000 0.000 0.037 0.049 0.064 2005 6 0.068 0.047 0.066 0.015 0.053 0.000 0.063 0.000 0.000 0.000 0.041 0.047 0.030 2005 7 0.079 0.048 0.065 0.045 0.000 0.000 0.070 0.214 0.214 0.214 0.028 0.047 0.038 2005 8 0.064 0.057 0.068 0.048 0.079 0.000 0.070 0.000 0.000 0.000 0.033 0.043 0.033 2005 9 0.051 0.054 0.056 0.035 0.053 0.000 0.070 0.000 0.000 0.000 0.034 0.043 0.052 2005 10 0.042 0.062 0.063 0.069 0.026 0.000 0.063 0.000 0.000 0.000 0.043 0.057 0.085 2005 11 0.032 0.060 0.056 0.041 0.105 0.000 0.086 0.000 0.000 0.000 0.043 0.051 0.083 2005 12 0.027 0.056 0.054 0.055 0.053 0.000 0.141 0.000 0.000 0.000 0.035 0.045 0.080 2005 13 0.020 0.055 0.045 0.030 0.000 0.000 0.078 0.000 0.000 0.000 0.024 0.045 0.041 2005 14 0.020 0.050 0.041 0.031 0.000 0.000 0.008 0.071 0.071 0.071 0.020 0.038 0.053 2005 15 0.014 0.051 0.048 0.055 0.026 0.000 0.047 0.071 0.071 0.071 0.032 0.048 0.053 2005 16 0.015 0.043 0.043 0.040 0.000 0.500 0.000 0.071 0.071 0.071 0.027 0.051 0.027 2005 17 0.012 0.038 0.031 0.028 0.000 0.000 0.008 0.071 0.071 0.071 0.025 0.035 0.011 2005 18 0.012 0.034 0.020 0.036 0.026 0.000 0.000 0.000 0.000 0.000 0.028 0.030 0.029 2005 19 0.009 0.031 0.017 0.031 0.000 0.500 0.031 0.000 0.000 0.000 0.020 0.033 0.005 2005 20 0.007 0.022 0.013 0.028 0.026 0.000 0.000 0.071 0.071 0.071 0.014 0.028 0.006 2005 21 0.008 0.019 0.012 0.025 0.000 0.000 0.023 0.000 0.000 0.000 0.029 0.029 0.017 2005 22 0.006 0.015 0.009 0.033 0.000 0.000 0.000 0.071 0.071 0.071 0.024 0.032 0.015 2005 23 0.010 0.010 0.008 0.018 0.000 0.000 0.016 0.000 0.000 0.000 0.025 0.021 0.015 2005 24 0.018 0.007 0.006 0.018 0.027 0.000 0.008 0.072 0.072 0.072 0.024 0.023 0.005 2005 25 0.019 0.006 0.005 0.008 0.000 0.000 0.000 0.000 0.000 0.000 0.022 0.016 0.006 2005 26 0.014 0.006 0.004 0.010 0.000 0.000 0.000 0.000 0.000 0.000 0.022 0.014 0.008 2005 27 0.016 0.002 0.002 0.013 0.000 0.000 0.000 0.000 0.000 0.000 0.017 0.008 0.003 2005 28 0.017 0.001 0.001 0.002 0.026 0.000 0.000 0.000 0.000 0.000 0.013 0.007 0.000 2005 29 0.018 0.002 0.001 0.007 0.000 0.000 0.000 0.000 0.000 0.000 0.014 0.007 0.000 2005 30 0.088 0.038 0.006 0.014 0.000 0.000 0.000 0.000 0.000 0.000 0.201 0.054 0.006 Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport. WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National AmbientAir Quality Standard**~ml** 12ROAD TYPE DISTRIBUTION The ODOT andWV Division ofHighway county summary VehicleMiles Traveled (VMT) datacategorizedby federal functional class forthe three countynon-attaimnentareas is thebasis forRoadTypeDistributionFraction. Table 8 illustrates RoadTypeDistribution. Table 8 ROAD TYPE DISTRIBUTIONFORTHE BELOMARREGION

sourceTvpelD roadTvpelD roadTvpeVMTFraction sourceTvpelD roadTvpelD roadTvpeVMTFraction 11 1 0 51 1 0 11 2 0.25 51 2 0.25 11 3 0.24 51 3 0.24 11 4 0.18 51 4 0.18 11 5 0.33 51 5 0.33 21 1 0 52 1 0 21 2 0.25 52 2 0.25 21 3 0.24 52 3 0.24 21 4 0.18 52 4 0.18 21 5 0.33 52 5 0.33 31 1 0 53 1 0 31 2 0.25 53 2 0.25 31 3 0.24 53 3 0.24 31 4 0.18 53 4 0.18 31 5 0.33 53 5 0.33 32 1 0 54 1 0 32 2 0.25 54 2 0.25 32 3 0.24 54 3 0.24 32 4 0.18 54 4 0.18 32 5 0.33 54 5 0.33 41 1 0 61 1 0 41 2 0.25 61 2 0.25 41 3 0.24 61 3 0.24 41 4 0.18 61 4 0.18 41 5 0.33 61 5 0.33 42 1 0 62 1 0 42 2 0.25 62 2 0.25 42 3 0.24 62 3 0.24 42 4 0.18 62 4 0.18 42 5 0.33 62 5 0.33 43 1 0 roadTvoelD roadDesc 43 2 0.25 2 Rural Restricted Access Rural Unrestricted 43 3 0.24 3 Access 43 4 0.18 4 Urban Restricted Access Urban Unrestricted 43 5 0.33 5 Access Transportation Air Quality Analysis And Technical Documentation Wheeling-Bridgeport, WV-OH For the U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard 8/11/11 13POST PROCESSING Several customprograms createdby ODOT staffwereusedto computethe total emissions. Theprocess uses data on daily and directional traffic distributions as well as more up to date volume/delay functions from the 2000 HighwayCapacityManual (HCM). This process also usesrewritten code able to handle thenewermodel network formats andMOVES generatedemission factors. The first step inthe process involves runningpostcms.exeto calculate hourly linkvolumes basedonthe percentage ofthe daily volume (travel demandmodel output) determinedby alink's facility and areatype. The analysis doesnotuse the linkspeeds from the travel demandmodel. Using alink's volumeto- capacityratio and linkgroup code, apost-process to the modelbasedonHCM methods estimates the linkspeeds. The second step (mmoves.exe) uses a combinationofthe MOVES emission factors andthe hourlylinkvolumes that are outputof the postcms.exeprogram. Thehourlyvolumes multipliedby theMOVES emission factor for the corresponding hourofday, speedbin, androadtype; calculate emissions for everynetworklinkfor eachhour. The final linkon road vehicle emissions forthe areais the sumofall individual link-houremissions. Thethird step, (vehcalm.exe), calculates vehicle-basedemissions for each source type for eachhourofthe day. A combinationoflocal and defaultdatais the source forthe vehicle sourcetype. The final vehicle emissions for eachcounty are the sumof all individualhourly emissions for all vehicle types. Sincethe intrazonal trips are notloadedonto the network, the fourth step inthe process requires a separatemethodto accountfor those trips thatuse localroads to travel within a zone. Theintracalm.exeprogramuses intrazonaltrips to estimateVMTusing the areain squaremiles and intrazonaltrips ofeachzone. The computerprogramassumes thatthe zone is circularanduses theradius ofthe circle as the averagetrip lengthfor these intrazonal trips. BycombiningMOVES generated emissions with estimatedintrazonalVMT, the intrazonal emissions are then calculated. The emissionrates are the same as those usedto calculate linkbasedemissions. Thefinal step is to summarize link, vehicle, and intrazonal emissions for each county, pollutant, and analyzedyear. Moredetails areprovidedat http://www.dot.state.oh.uslDivisions/PlanningiSPRlModeIForecastingUnitiDocuments/cmaqr3.PDF

Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National AmbientAir QualityStandard 

### Mml MAPPENDIX A

INTERAGENCYCONSULTATIONDOCUMENTATION

Transportation Air QualityAnalysis And Technical Documentation Wheeling-Bridgeport, WV-OH Forthe U.S. EPA 1997 Annual PM2.5 National Ambient Air Quality Standard 8/11/11 15

# Appendix D-1 

# .LADCO Technical Support Document (Version IV, April

.

. . . .. , 

# '25, 2008, FINAL)

. (available at

. http://www.ladco.org/reports/general/), 

# '.Ap.pendix 0-2.

. LAOCO Technical Support

. Document (Supplement, Without CAIR Modeling, September 

# 12, 2008, FINAL)

(available at

. http://www.ladco.org/reports/generall)

.

# Appendix E-1 Public Notice

./

## ,.

Public Notice Ohio Environmental Protection Agency Redesignation and Maintenance Plan 

### forthe Ohio Portion ofthe Wheeling, WV-OH Annual 

### PM2.5 NonattainmentArea Belmont County, Ohio 

### Notice is hereby given that the Director of the Ohio Environmental Protection Agency (Ohio EPA) is requesting that the United States Environmental Protection Agency (U.S. EPA) revise the current air quality designation for the Ohio portion (Belmont County) of the Wheeling, WV-OH area, to attainment with respect to the 1997 annual PM2
.5 national ambient air quality standard (NAAQS). Air quality monitoring data collected between 

### 2008 and 

### 2010 in the region demonstrate attainment ofthe NAAQS and there is evidence that the improved air quality is due to permanent, enforceable emission reductions. 

### In addition, existing requirements are sufficient to maintain the 1997 annual PM2.5 standard in this area at least ten years into the future. Computer models show that existing state and federal emission reduction requirements are sufficient to attain and maintain the NAAQS in the Wheeling area. Therefore, Ohio EPA proposes to utilize existing emission inventory information and projections offuture emissions as the demonstration of the ability to maintain the NAAQS in the Wheeling area in the future. The Wheeling area is currently designated as nonattainment for the 1997 annual PM2.5 standard. As part of an acceptable maintenance plan, Ohio EPA has developed, as required, a contingency plan to provide for additional emission reductions if a violation ofthe NAAQS is monitored afterthe area has been redesignated. The State of Ohio proposes to: 1. Request the U.S. EPA redesignate the Ohio portion of the Wheeling, WV-OH area to attainment with respect to the 1997 annual PM2.5 NAAQS and revise the maintenance plan. This request will document that existing enforceable control measures are responsible forthe observed improvement in air quality. 

### 2. Designate existing controls as sufficient to maintain the NAAQS into the future. 3. Committo the proposed contingency plan. These actions must be noticed to allow public comment and to satisfy USEPA requirements for public involvement in SIP-related activities. This notice addresses Ohio EPA's reliance on the emission projections as evidence of attainment and maintenance and the commitment to institute contingency measures if ambient exceedances orviolations triggerthe contingency plan requirements. Written comments

### will be received on or before April 5, 2012 at the following address: 

# .-

E-mail: erica.fetty@epa.state.oh.us Mailing address: Erica Fetty Ohio Environmental Protection Agency, DAPC Lazarus Government Center P.O. Box 1049 Columbus, Ohio 43216-1049 Phone: (614)644-2310 Pursuant to Section 119.03 of the Ohio Revised Code, a public hearing on this redesignation request will be conducted as follows: April 5, 2012 at 3:00PM, at Martins Ferry Library, 20 James Wright Place, Martins Ferry, OH 43935. All interested persons are entitled to attend or be represented at the hearing and give written or oral comments on these changes. All oral comments presented at the hearing, and all written statements submitted at the hearing orto the above address by the close of business on April 5, 2012 will be considered by Ohio EPA prior to final action on this redesignation. Written statements submitted after April 5, 2012 may be considered as time and circumstances permit, but will not be part of the official record ofthe 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 Niamlarb at 614-728-1342; other questions or comments about this document should be directed to Erica Fetty at (614) 644-2310, Erica.Fetty@epa.state.oh.us or mailed to Erica Fetty at the above address.

# App~ndix 

# E-2 Public Comments and Public

. 

# HearingTranscript

.

### BEFORE THE OHIO EPA

IN RE: Redesignation Particulate Matter 

### 2.5: SLeabellville Area 

## \1JY\e.e.\\**'\'I~**

Public Hearing before Moderator Mary McCarron, taken at the Martins Ferry Library, 20 James Wright Place, Martins Ferry, Ohio, at 3:00 p.m. on April 5, 2012.P-R-O-C-E-E-D-I-N-G-S 

### 1 2 MODERATOR McCARRON: Today's date is 2



### 3 April 5, 2012. My name is Mary McCarron. I will 4 be presfding over today's public hearing. 5 The purpose of the hearing·tadayis to 6 obtain comments from any interested person 7 regarding Ohio EPA's proposed action. 8 The state of Ohio plans to ask U.s. EPA 9 to officially recognize the air quality in 10 Belmont County meets the 1997 federal fine 11 particulate standard. Belmont County is part of 12 the Wheeling, West Virginia metropolitan area for 13 air quality purposes. 14 Ohio's proposed redesignation request 15 only affects Belmont County. West Virginia would 16 need to submit a separate request to U.s. EPA to 17 redesignate counties in its state associated with 18 the area. 19 Comments can be submitted until the 20 close of business today, April 5, 2012. All 21 interested persons are entitled to attend, be 22 represented, and to present oral and/or written 23 comments concerning the proposed action. All 24 written and oral comments received as part of the3


### 1 official record will be considered by the 2 director of Ohio EPA before a final decision is 3 made. 4 At this time there is nobody present to 5 provide testimony, so we will go off the record 6 until 3:30. 7 8 

### (Break taken until 3:30 p.m.) MODERATOR McCARRON: The time is now 9 3:30 p.m., and no one has come to provide 10 testimony. So we will adjourn this hearing. 11 

### * * * 12 (Thereupon, the hearing was adjourned at 13 3:30 p.m., on April 5, 2012.)
14 15 16 17 18 19 

### 20 21 22 23 241 2 3 STATE OF OHIO C E R T I FIe ATE

SS: 4

4 COUNTY OF FRANKLIN
5 I, Jennifer L. Parish, Registered 6 Professional Reporter, do hereby certify that the 7 foregoing is a true, correct, and complete 8 transcription of the above-mentioned audiotaped
9 public hearing before the Ohio Environmental 10 Protection Agency to the best of my ability.
11 12 13 14 15 16 17 DATED this 16th day of April, 2012.

JENNIFER L. PARISH, RPR NOTARY PUBLIC-STATE OF OHIO

18 My Commission Expires: November 23, 2012. 19 20 21 22 23
24