## Technical Memorandum Northeast Ohio (AMATS, NOACA, Ashtabula) 2008 8-hr Ozone NAAQS SIP Inventory Mobile Source Emissions (VOC and NOx)

February 2016

By AMATS, NOACA and ODOT

In Coordination with the Ohio Environmental Protection Agency

## Table of Contents

1. Overview ............................................................................................. 1 2. Urban Travel Demand Models ............................................................ 5 3. Emission Factor Generation ............................................................... 5 4. Post Processing ................................................................................ 21 5. Multiple MPO Coordination Issues .................................................... 23

Appendix A Interagency Consultation Documentation Appendix B Post Processing Default Distributions1 

## 1. Overview

This memorandum is intended to document the USEPA MOVES based mobile source air quality analyses performed by the Ohio Department of Transportation (ODOT) for the Akron Metropolitan Area Transportati on Study (AMATS) and Ashtabula county areas, and by ODOT and the the Northeast Oh io Areawide Coordinating Agency for the counties of Cuyahoga, Geauga, Lake, Lorain and Medina in its area. These analyses were conducted in support of Ohio EPA’s in tent to submit a redesignation request and maintenance State Impl ementation Plan (SIP) 2008 8-hr Ozone NAAQS.

The designated maintenance area in nort heast Ohio for the 2008 8-hr Ozone NAAQS includes the counties of Cuyahoga, G eauga, Lake, Lorain, Medina, Portage, and Summit; and Ashtabula.

The inventories include county based, annual totals of Volatile Organic Compounds (VOC’s) and Oxides of Nitrogen (NO X 

### ) for the years 2011, 2014, 2020, and 2030.

Latest Planning Assumptions

These ozone inventory runs meet the late st planning assumption requirement as the area remains under the grace period for us ing MOVES2010 in lieu of MOVES2014. As discussed in Section 2 of this report, the tr avel forecast modeling processes used to develop vehicle miles of tr avel (VMT) for the AMATS an d NOACA areas is calibrated using the latest population and land use dat a available and are validated using corresponding traffic count dat a. Currently, the travel demand models are validated to year 2005.

U.S. EPA’s MOVES2010a is used for all mobile source emission analyses with MOVES input and output needs being established at va rious interagency consultation meetings and e-mails in January 2016 (See Appendix A ). It was also established that annual emission estimates would be based on a single-season approach. The emissions estimates are expressed in tons per day.

Finally, the regional emissions analysis in cludes emissions for Volatile Organic Compounds (VOCs), and Ox ides of Nitrogen (NO X 

### ).2On Road Mobile Source Emissions Inventory SummaryTables 1 to 4 present a summary of emissions by county aswell as the entire maintenance area for VOCs, and NOx forcalendar years 2011, 2014, 2020, and 2030. They also include annual VMT totals. The remainder of this documentfocuses on the assumptions behind the analyses.Table 1 – Northeast Ohio On-Road Mobile Source Emissions2011COUNTY VOC (tons/day) NOx (tons/day) Annual VMTAshtabula 2.882 6.347 1,151,284,460Cuyahoga 27.0357 50.725610,360,221,320Geauga 4.7616 7.4586934,179,175Lake 5.9439 11.9748 2,113,224,440Lorain 7.804 14.1127 2,543,628,790Medina 5.4096 14.59062,251,931,740Portage 4.479 9.957 1,875,030,185Summit 13.607 29.192 5,804,227,445TOTAL 71.9228 144.3583 27,033,727,5553Table 2 – Northeast Ohio On-Road Mobile Source Emissions2014COUNTY VOC (tons/day) NOx (tons/day) Annual VMTAshtabula 2.089 4.216 1,179,937,325Cuyahoga 17.8405 31.7193 10,390,750,650Geauga 2.0266 3.7346 967,442,355Lake 4.2963 8.0452 2,160,408,355Lorain 5.6908 10.2934 2,603,862,550Medina 3.9525 10.3258 2,325,138,330Portage 3.384 6.774 1,923,587,960Summit 10.074 19.451 5,974,651,785TOTAL 49.3537 94.559327,525,779,310Table 3 – Northeast Ohio On-Road Mobile Source Emissions2020COUNTY VOC (tons/day) NOx (tons/day) Annual VMTAshtabula 1.384 2.282 1,240,812,755Cuyahoga 12.1821 17.6512 10,363,284,400Geauga 1.4463 2.1987 992,075,110Lake 2.85 4.7055 2,201,333,250Lorain 3.7867 5.7605 2,641,533,105Medina 2.7786 5.8476 2,441,471,495Portage 2.388 3.931 2,147,158,490Summit 6.958 11.153 6,459,328,715TOTAL 33.77 53.52 28,486,997,3204Table 4 – Northeast Ohio On-Road Mobile Source Emissions2030 MaintenanceCOUNTY VOC (tons/day) NOx (tons/day) Annual VMTAshtabula 1.061 1.563 1,317,124,035Cuyahoga 9.3709 12.01 10,488,856,080Geauga 1.1096 1.59271,065,782,115Lake 2.1542 3.2489 2,343,033,550Lorain 2.8572 3.8609 2,806,675,895Medina 2.2225 4.30482,657,765,020Portage 1.996 2.900 2,321,683,605Summit 6.014 8.618 6,888,537,325TOTAL 26.78 38.10 29,889,457,6255 

## 2. Urban Travel Demand Models

NOACA maintains a PC-based r egional travel demand foreca sting model on the Citilabs CUBE platform for use in its urban transportati on planning process. This model employs the traditional four step modeling process to project existing and future traffic volumes and travel patterns on the regional transpor tation networks. The four step process consists of trip generation, trip distribut ion, mode split, and route assignment. Output from the model is link-by- link directional volumes for four time periods: AM peak, Midday, PM peak, and Night and is added together to create 24-hour traffic volumes for the existing or future region al transportation networks. ODOT ran NOACA’s model for this effort.

The Ohio Department of Trans portation (ODOT) holds the transportation model for the AMATS area. AMATS prepares and submits net works for its planning area to ODOT. ODOT prepares networks for Ashtabula County. ODOT's modeling is also run on a PCbased CUBE platform.

These models are uniquely suited to perform emission analyses. The modeling process identifies growth in vehicle miles of tr avel and changes in regional travel patterns resulting from the projects that are pr oposed in these areas’ transportation plans and programs.

Landuse and Socio-economic Data

The areas’ socio-economic model variables reflect the current and expected future regional land uses as best known to staff.

Socio-economic variables were developed fo r all areas based on 2000 Census data and 2030 county-level Ohio Department of Deve lopment population pr ojections. Minor adjustments to 2005 data have been made in an effort to have this data correspond to 2005 estimates released by the US Census Bureau.

Until new 2010 Census based projections are developed by the Ohio Department of Development (ODOD), the curr ent data represents the best available for this effort.



## 3. Emission Factor Generation

Using MOVES, emission factor files were generated for 2011, 2014, 2020, and 2030. Assumptions for these runs include an I/M program in all but Ashtabula Township. Programs and corresponding MOVES parameters were developed in consultation with OEPA.6 

### Technical Details

Table 5 summarizes the settings used in t he MOVES run specification file and the MOVES County-Data Manager. All inputs for t he region’s analyses are included in the CD provided to Ohio EPA as part of this doc ument submittal. Further information about specific inputs that are not using default values is also discussed below.

Table 5 – MOVES Inputs RunSpec Parameter Settings MOVES Version 2010/08/26 Scale County MOVES Modeling Technique Emission Factor Method Rates per Distance Rates per Vehicle Time Span Time Aggregation: Hour 1 Month representing aver age annual temperatures All hours of day selected 16 speed bins Weekdays only Geographic Bounds Ashtabula, Cuyahoga, Geauga, Lake, Lorain, Medina, Portage and Summit Counties Vehicles/Equipment All related sour ce types, gasoline and diesel; CNGTransit Buses for base year 2002 & attainment year 2006 Road Type All road types including off-network Pollutants and Processes Total Gaseous Hydrocarbons, Non-Methane Hydrocarbons, Volitile Organic Compounds, NO x 

### Strategies Alternative Vehicle Fuels and Technologies for interim year 2012, and maintenance year 2020 to offset impact of CNG General Output Units = grams, joules and miles Output Emissions Time = hour, Locat ion =county, on-road emission rates by road type and source use type. Advance Performance None County Data Manager Sources Source Type Population Combi nation of local and default data

Local BMV Vehicle Registration Total

Local BMV population for moto rcycle (11), moped (11), bus (41, 42,43), mobile hom e (54), house vehicle (54)

MOVES default fractions for the rest (21,31,32,51,52,53,61,62)7 

### Future year growth rate based on TFM’s household growth rates. Vehicle Type VMT Travel Demand Forecast Model’s daily VMT EPA annual VMT converter Hourly VMT fractions - OD OT Hourly Percentage I/M Program I/M program information supplied by Ohio EPA Fuel Formulation Default Fuel Supply Default Metereology Data Local data obtained from NOAA National Climatic Data Center. Data will consist of monthly high and low temperatures and daily relative humidity for 2006. Ramp Fraction Travel Demand Forecast Model Road Type Distribution ODOT’s 2006 DVMT by FC Age Distribution Local data ODOT fr om 2009 motor vehicle registration The same age distribution will be used for all analysis years Average Speed Distribution Default as a place holder

Zone Activity Default with necessary modification as prescribed in MOVES userguide.8 

### Temperature and Relative Humidity

Temperatures used for the single season appr oach are representative of 12 months in 2006 based on NOAA data from t he National Climate Data Cent er website. The month of July was used as the representative month. Da ta for Cleveland Hopkins International Airport (CLE) was used for NOACA’s area. Data for Akron-Canton Airport (CAK) was used for AMATS and Ashtabula Areas. To get the correct fomat for MOVES, the data was entered into a spreadsheet provided by EPA which was designed to convert Mobile6 data to MOVES. The average annual hourly temper ature and relative humidity distribution profile for Cuy ahoga, Lake, Lorain, and Medina Counties can be seen in Table 6a. Table 6b portrays the data for Portage and Summit Counties; and Ashtabula.

Table 6a – Temperature and Relative Humi dity Data for NOACA portion of area

Hour Average Temperature Average Relative Humidity 1 71.0 77.0 2 70.0 79.0 3 69.0 81.0 4 68.0 82.0 5 68.0 83.0 6 68.0 83.0 7 71.0 78.0 8 74.0 72.0 9 77.0 65.0 10 80.0 60.0 11 81.0 56.0 12 82.0 55.0 13 82.0 54.0 14 83.0 51.0 15 83.0 50.0 16 83.0 50.0 17 82.0 51.0 18 82.0 52.0 19 80.0 56.0 20 78.0 60.0 21 75.0 66.0 22 74.0 69.0 23 72.0 73.0 24 71.0 76.09 

### Table 6b – Temperature and Relative Hu midity Data for AMATS portion of area

Hour Average Temperature Average Relative Humidity 1 44.90333333 76 2 43.77166667 78 3 42.8825 79 4 42.23583333 81 5 41.75083333 82 6 41.185 83 7 40.7 82 8 41.10416667 79 9 43.52916667 74 10 47.40916667 71 11 51.37 68 12 54.765 63 13 57.75583333 61 14 59.3725 58 15 59.93833333 56 16 60.1 55 17 59.69583333 57 18 58.56416667 60 19 56.62416667 65 20 54.11833333 69 21 51.6125 71 22 49.43 73 23 47.89416667 7410 

### Ramp Fraction

Ramp fractions were derived using the base year travel demand model VHT fractions. Ramp fractions can be seen in Table 7. Base year fractions were kept the same for future years.

Table 7 – Ramp Fractions County roadTypeID roadDesc rampFraction

Ashtabula 2 Rural Restricted Access 0.010 4 Urban Restricted Access 0.180 Cuyahoga 2 Rural Restricted Access 0 4 Urban Restricted Access 0.116 Geauga 2 Rural Restricted Access 0.061 4 Urban Restricted Access 0.061

Lake 2 Rural Restricted Access 0.092 4 Urban Restricted Access 0.092

Lorain 2 Rural Restricted Access 0.107 4 Urban Restricted Access 0.107

Medina 2 Rural Restricted Access 0.058 4 Urban Restricted Access 0.058 Portage 2 Rural Restricted Access 0.010 4 Urban Restricted Access 0.180

Summit 2 Rural Restricted Access 0.010 4 Urban Restricted Access 0.00911Source Type PopulationSource type population is based on a combination of local and MOVESdefault data. Local data was obtained from ODPS Bureau ofMotor Vehicles Motor Vehicle Registrations by county and vehicle type. The MOVESdefault source type population data was obtainedfrom the national level MOVES inventory runs for each county.OBMV’s vehicle registration data was used as a control total for all source type population and a sub total for Intercity Bus (41), TransitBus (42), and School Bus (43). The same data was also used toassign source type population of Motorcycle (11) and Motor Home(54). For the rest of sourcetypes 21, 31, 32, 51, 52,53, 61 and 62, the fraction of eachsource type from the MOVES default data wasused and adjusted to match up the control total for source type population. Future year source typegrowth rate is based on traveldemand model’s annual householdgrowth rate from year 2005 to year 2022 for corresponding analysisyears. Table 8 shows sourcetype population for the analyzed counties in 2006.Table 8 – Sample Source TypePopulation for year 2006sourceTypeIDsourceTypeNameCuyahogaGeaugaLake LorainMedinaPortageSummitAshtabula11 Motorcycle 25,638 3,931 8,082 10,893 7,097 7,194 16,874 3,64521 Passenger Car 561,351 50,481118,570146,537 87,913 84,557269,462 46,12631 Passenger Truck 367,186 35,709 78,318 97,335 60,304 60,467185,435 33,20832 Light Commercial Truck 122,671 11,930 26,165 32,518 20,146 2,425 7,436 1,33241 Intercity Bus 377 14 65 32 16 33 135 6242 Transit Bus 208 8 36 17 9 17 71 3343 School Bus 2,595 95 446 217 113 199 826 38151 Refuse truck 307 47 72 91 72 64 150 3752Single Unit Short-haulTruck 17,525 2,669 4,094 5,177 4,114 2,664 6,179 1,51653Single Unit Long-haulTruck 1,894 288 442 559 445 340 789 19354 Motor Home 4,916 1,385 2,100 4,399 2,628 2,549 4,687 17761 Comb Short-haul Truck 3,781 496 1,058 1,098 1,358 1,289 2,229 72762 Comb Long-haul Truck 4,073 535 1,139 1,182 1,463 1,483 2,564 83612 

### I/M Program

I/M program information was supplied by Ohio EPA. The I/M program was applied to all analysis years for every geography with the ex ception of Ashtabula County. The I/M program MOVES inputs reflect: 1) ASM 2525 Phase-in Cutpoints, for model years up to 1995 2) Evaporative Gas Cap Check, for model years up to 1995 3) Evaporative System OBD Chec k, for model years 1996 & newer 4) Exhaust OBD Check, for model years 1996 & newer

The compliance rate and failure rates are obtained from Ohio EPA and compliance factors are calculated. Thes e are applied to Cuyahoga, G eauga, Lake, Lorain, Medina, Portage & Summit counties and for all model years.

Vehicle Age Distribution

Vehicle age distribution information was der ived using ODPS vehicle registration data (2009). The data was given to OEPA who s upplied a VIN decoder that allowed ODOT to create correctly formatted MOVES inputs. A different age distribution file is used for each county. Table 9 provides a sample distribution for Cuyahoga County. The distributions for other areas can be found in the electronic input submittals. The same age distributions were used for all analysis years.13 

### Table 9 – Sample Vehicle Age Distribution for Cuyahoga County

yearid sourcetyp eid ageid ageFracti

on 2006 11 30 0.106925 2006 11 29 0.018783 2006 11 28 0.026115 2006 11 27 0.014845 2006 11 26 0.011632 2006 11 25 0.01317 2006 11 24 0.014596 2006 11 23 0.00998 2006 11 22 0.007536 2006 11 21 0.009369 2006 11 20 0.009074 2006 11 19 0.008758 2006 11 18 0.010636 2006 11 17 0.013827 2006 11 16 0.017312 2006 11 15 0.021 2006 11 14 0.02272 2006 11 13 0.021951 2006 11 12 0.02582 2006 11 11 0.03761 2006 11 10 0.044965 2006 11 9 0.05413 2006 11 8 0.060081 2006 11 7 0.075515 2006 11 6 0.063725 2006 11 5 0.066418 2006 11 4 0.076963 2006 11 3 0.068658 2006 11 2 0.044852 2006 11 1 0.021362 2006 11 0 0.001675 2006 21 30 0.031927 2006 21 29 0.001002 2006 21 28 0.001082 2006 21 27 0.001608 2006 21 26 0.002483 2006 21 25 0.003053 2006 21 24 0.003691 2006 21 23 0.005082 2006 21 22 0.006714 2006 21 21 0.010246 2006 21 20 0.013223 2006 21 19 0.017294 2006 21 18 0.023152 2006 21 17 0.028475 2006 21 16 0.034352 2006 21 15 0.044328 2006 21 14 0.040195 2006 21 13 0.048119 2006 21 12 0.050547 2006 21 11 0.056333 2006 21 10 0.057401 2006 21 9 0.054497 2006 21 8 0.058427 2006 21 7 0.059745 2006 21 6 0.059884 2006 21 5 0.060329 2006 21 4 0.058016 2006 21 3 0.060513 2006 21 2 0.05262 2006 21 1 0.04119 2006 21 0 0.014472 2006 31 30 0.002999 2006 31 29 0.000209 2006 31 28 0.000285 2006 31 27 0.000524 2006 31 26 0.000797 2006 31 25 0.001189 2006 31 24 0.001723 2006 31 23 0.002477 2006 31 22 0.003177 2006 31 21 0.00491 2006 31 20 0.006233 2006 31 19 0.008686 2006 31 18 0.011764 2006 31 17 0.02159 2006 31 16 0.026281 2006 31 15 0.0328114 2006 31 14 0.031973 2006 31 13 0.036449 2006 31 12 0.043884 2006 31 11 0.049373 2006 31 10 0.053384 2006 31 9 0.052496 2006 31 8 0.068594 2006 31 7 0.073487 2006 31 6 0.079743 2006 31 5 0.092016 2006 31 4 0.082702 2006 31 3 0.07979 2006 31 2 0.07549 2006 31 1 0.04345 2006 31 0 0.011516 2006 32 30 0.006296 2006 32 29 0.000508 2006 32 28 0.000914 2006 32 27 0.001219 2006 32 26 0.002844 2006 32 25 0.002945 2006 32 24 0.002945 2006 32 23 0.004367 2006 32 22 0.005078 2006 32 21 0.008531 2006 32 20 0.010358 2006 32 19 0.009851 2006 32 18 0.014522 2006 32 17 0.024576 2006 32 16 0.03727 2006 32 15 0.054737 2006 32 14 0.036458 2006 32 13 0.043668 2006 32 12 0.041637 2006 32 11 0.048746 2006 32 10 0.055753 2006 32 9 0.040317 2006 32 8 0.038997 2006 32 7 0.03788 2006 32 6 0.029349 2006 32 5 0.029958 2006 32 4 0.086016 2006 32 3 0.091398 2006 32 2 0.13923 2006 32 1 0.063166 2006 32 0 0.030466 2006 41 30 0.002855 2006 41 29 0.001428 2006 41 28 0.001428 2006 41 27 0.001428 2006 41 26 0.000714 2006 41 25 0.00571 2006 41 24 0 2006 41 23 0.003569 2006 41 22 0.009279 2006 41 21 0.003569 2006 41 20 0.007852 2006 41 19 0.010707 2006 41 18 0.017131 2006 41 17 0.009993 2006 41 16 0.009279 2006 41 15 0.0207 2006 41 14 0.019986 2006 41 13 0.0207 2006 41 12 0.024982 2006 41 11 0.042827 2006 41 10 0.071378 2006 41 9 0.06424 2006 41 8 0.059957 2006 41 7 0.097787 2006 41 6 0.114918 2006 41 5 0.063526 2006 41 4 0.114918 2006 41 3 0.086367 2006 41 2 0.044254 2006 41 1 0.068522 2006 41 0 0 2006 42 30 0.010638 2006 42 29 0 2006 42 28 0 2006 42 27 0 2006 42 26 0.00531915 2006 42 25 0 2006 42 24 0 2006 42 23 0 2006 42 22 0 2006 42 21 0.005319 2006 42 20 0 2006 42 19 0 2006 42 18 0 2006 42 17 0 2006 42 16 0.021277 2006 42 15 0.005319 2006 42 14 0.010638 2006 42 13 0.005319 2006 42 12 0.047872 2006 42 11 0.079787 2006 42 10 0.026596 2006 42 9 0.058511 2006 42 8 0.079787 2006 42 7 0.079787 2006 42 6 0.079787 2006 42 5 0.074468 2006 42 4 0.170213 2006 42 3 0.074468 2006 42 2 0.12766 2006 42 1 0.037234 2006 42 0 0 2006 43 30 0.000585 2006 43 29 0 2006 43 28 0 2006 43 27 0.001171 2006 43 26 0.001171 2006 43 25 0.005855 2006 43 24 0.002342 2006 43 23 0.007611 2006 43 22 0.008197 2006 43 21 0.005855 2006 43 20 0.008197 2006 43 19 0.014052 2006 43 18 0.007611 2006 43 17 0.009368 2006 43 16 0.009953 2006 43 15 0.011124 2006 43 14 0.010539 2006 43 13 0.044496 2006 43 12 0.050937 2006 43 11 0.088993 2006 43 10 0.104801 2006 43 9 0.067916 2006 43 8 0.100703 2006 43 7 0.058548 2006 43 6 0.050351 2006 43 5 0.052693 2006 43 4 0.052693 2006 43 3 0.0726 2006 43 2 0.049766 2006 43 1 0.059719 2006 43 0 0.042155 2006 51 30 0.014851 2006 51 29 0.002475 2006 51 28 0 2006 51 27 0 2006 51 26 0 2006 51 25 0.002475 2006 51 24 0.00495 2006 51 23 0.012376 2006 51 22 0 2006 51 21 0.00495 2006 51 20 0.00495 2006 51 19 0.00495 2006 51 18 0.007426 2006 51 17 0.012376 2006 51 16 0.024752 2006 51 15 0.066832 2006 51 14 0.044554 2006 51 13 0.027228 2006 51 12 0.044554 2006 51 11 0.027228 2006 51 10 0.044554 2006 51 9 0.044554 2006 51 8 0.059406 2006 51 7 0.09901 2006 51 6 0.03217816 2006 51 5 0.071782 2006 51 4 0.128713 2006 51 3 0.071782 2006 51 2 0.094059 2006 51 1 0.04703 2006 51 0 0 2006 52 30 0.014851 2006 52 29 0.002475 2006 52 28 0 2006 52 27 0 2006 52 26 0 2006 52 25 0.002475 2006 52 24 0.00495 2006 52 23 0.012376 2006 52 22 0 2006 52 21 0.00495 2006 52 20 0.00495 2006 52 19 0.00495 2006 52 18 0.007426 2006 52 17 0.012376 2006 52 16 0.024752 2006 52 15 0.066832 2006 52 14 0.044554 2006 52 13 0.027228 2006 52 12 0.044554 2006 52 11 0.027228 2006 52 10 0.044554 2006 52 9 0.044554 2006 52 8 0.059406 2006 52 7 0.09901 2006 52 6 0.032178 2006 52 5 0.071782 2006 52 4 0.128713 2006 52 3 0.071782 2006 52 2 0.094059 2006 52 1 0.04703 2006 52 0 0 2006 53 30 0.096774 2006 53 29 0 2006 53 28 0 2006 53 27 0 2006 53 26 0.064516 2006 53 25 0.032258 2006 53 24 0.032258 2006 53 23 0.032258 2006 53 22 0.064516 2006 53 21 0.032258 2006 53 20 0.064516 2006 53 19 0.032258 2006 53 18 0 2006 53 17 0.032258 2006 53 16 0.064516 2006 53 15 0.032258 2006 53 14 0.193548 2006 53 13 0.096774 2006 53 12 0.064516 2006 53 11 0 2006 53 10 0 2006 53 9 0 2006 53 8 0 2006 53 7 0 2006 53 6 0.032258 2006 53 5 0 2006 53 4 0 2006 53 3 0 2006 53 2 0 2006 53 1 0 2006 53 0 0.032258 2006 54 30 0.155541 2006 54 29 0.007973 2006 54 28 0.012568 2006 54 27 0.014595 2006 54 26 0.023378 2006 54 25 0.021622 2006 54 24 0.02473 2006 54 23 0.024865 2006 54 22 0.026486 2006 54 21 0.028514 2006 54 20 0.023649 2006 54 19 0.017838 2006 54 18 0.023514 2006 54 17 0.02756817 2006 54 16 0.032432 2006 54 15 0.037838 2006 54 14 0.032973 2006 54 13 0.034054 2006 54 12 0.036351 2006 54 11 0.045 2006 54 10 0.045811 2006 54 9 0.032297 2006 54 8 0.034595 2006 54 7 0.037027 2006 54 6 0.038378 2006 54 5 0.039054 2006 54 4 0.039595 2006 54 3 0.034595 2006 54 2 0.028784 2006 54 1 0.014865 2006 54 0 0.003514 2006 61 30 0.026394 2006 61 29 0.001795 2006 61 28 0.001969 2006 61 27 0.0027 2006 61 26 0.004162 2006 61 25 0.005771 2006 61 24 0.007714 2006 61 23 0.007951 2006 61 22 0.01355 2006 61 21 0.017698 2006 61 20 0.017692 2006 61 19 0.018667 2006 61 18 0.023951 2006 61 17 0.030517 2006 61 16 0.044041 2006 61 15 0.043611 2006 61 14 0.038558 2006 61 13 0.047786 2006 61 12 0.044426 2006 61 11 0.056475 2006 61 10 0.062624 2006 61 9 0.052544 2006 61 8 0.054525 2006 61 7 0.065875 2006 61 6 0.064946 2006 61 5 0.065997 2006 61 4 0.06129 2006 61 3 0.052723 2006 61 2 0.042316 2006 61 1 0.018436 2006 61 0 0.003296 2006 62 30 0.001821 2006 62 29 0 2006 62 28 0 2006 62 27 0.00091 2006 62 26 0.000759 2006 62 25 0.002731 2006 62 24 0.001517 2006 62 23 0.001972 2006 62 22 0.00349 2006 62 21 0.005159 2006 62 20 0.0044 2006 62 19 0.003945 2006 62 18 0.007131 2006 62 17 0.016083 2006 62 16 0.021393 2006 62 15 0.028827 2006 62 14 0.034593 2006 62 13 0.025338 2006 62 12 0.059172 2006 62 11 0.080413 2006 62 10 0.107419 2006 62 9 0.075861 2006 62 8 0.04582 2006 62 7 0.047944 2006 62 6 0.099833 2006 62 5 0.090882 2006 62 4 0.057047 2006 62 3 0.112729 2006 62 2 0.017145 2006 62 1 0.038993 2006 62 0 0.00667618 

### Road Type Distribution

Road type distribution is based on the ODOT ’s 2006 daily vehicle miles of travel (DVMT) by functional classifi cation (FC). These inputs vary by county. A sample road type distribution input for Cuyahoga County can be seen in Table 10. Cuyahoga County does not contain rural road types 2 and 3. The distributions for other areas can be found in the electronic input submittals.

Table 10 – Sample Road Type Distribution for Cuyahoga County

sourceTypeID roadTypeID roadTypeVMTFraction 11 1 0 11 2 0 11 3 0 11 4 0.47072 11 5 0.52928 21 1 0 21 2 0 21 3 0 21 4 0.47072 21 5 0.52928 31 1 0 31 2 0 31 3 0 31 4 0.47072 31 5 0.52928 32 1 0 32 2 0 32 3 0 32 4 0.47072 32 5 0.52928 41 1 0 41 2 0 41 3 0 41 4 0.47072 41 5 0.52928 42 1 0 42 2 0 42 3 0 42 4 0.47072 42 5 0.52928 43 1 0 43 2 0 43 3 0 43 4 0.47072 43 5 0.52928 51 1 0 51 2 0 51 3 0 51 4 0.47072 51 5 0.52928 52 1 0 52 2 0 52 3 0 52 4 0.47072 52 5 0.52928 53 1 0 53 2 0 53 3 0 53 4 0.47072 53 5 0.52928 54 1 0 54 2 0 54 3 0 54 4 0.47072 54 5 0.52928 61 1 0 61 2 0 61 3 0 61 4 0.47072 61 5 0.52928 62 1 0 62 2 0 62 3 0 62 4 0.47072 62 5 0.5292819 

### Vehicle Type VMT and VMT Fractions

VMT by MOVES vehicle types is subdivided into four sections namely HPMS base year VMT, monthly VMT fractions, daily VMT fr actions and hourly VMT fractions. For NOACA’s counties, HPMS base year VMT was derived by using the converter tool, US EPA’s AADVMT Calculator_HPM S.xls. The converter take s average annual daily VMT (AADVMT) and generates MOVES input data based on default factors. AADVMT is computed by using total daily VMT obtained fr om travel demand model and fractioning it with the MOVES default distance travelled by each source type to come up vehicle type VMTs. The same method was used to gener ate data for other analysis years.

ODOT uses weigh in motion (W IM) data to develop inputs fo r the counties it models. The inputs for each geographic area can be seen in the supplied input files. Sample HPMS VMT for 2006 is provided in Table 11.

Table 11 – Sample Yearly HPMS VMT for 2006

HPMS VType ID Cuyahoga Geauga Lake Lorain

10 36,279,066 3,579,545 7,368,124 8,813,331 20 5,393,830,829 465,757,651 1,063,615,481 1,285,052,331 30 3,355,271,802 313,217,056 667,810,586 811,206,625 40 13,433,997 2,917,998 3,199,949 4,083,872 50 207,639,389 30,311,606 45,080,548 55,677,744 60 308,438,715 38,801,503 79,624,414 81,166,499

HPMS VType ID Medina Portage Summit Ashtabula

10 8,039,568 7,033,066 22,040,247 4,172,818 20 1,054,314,702 1,254,291,780 3,930,704,234 744,189,232 30 687,173,536 387,008,969 1,212,810,142 229,617,950 40 5,307,954 3,955,747 12,396,534 2,347,001 50 60,452,301 29,243,117 91,642,188 17,350,359 60 136,727,415 69,428,531 217,575,389 41,192,93920 

### Output Emission Factors

Table 12 shows the first record in a MOVES sa mple output (rate per distance) emission file for year 2006. For any given month, day of week, hour of the day, pollutant, and process; the rate per distance varies by road type, and speed bin. Rates per distance emissions are applied to link and intrazonal VMT.

Table 12 – Sample Emission File (R ate per Distance) for year 2006 Heading: MOVESScenarioID MOVESRunID yearID monthID dayID hourID Record: Cuyahoga 1 2006 7 5 1 Heading: linkID pollutantID processID sourceTypeID SCC fuelTypeID Record: 9.9E+08 87 11 54 0 Heading: modelYearID roadTypeID avgSpeedBinID temperature relHumidity ratePerDistance Record: 0 5 3 68 82 0.02331



### Table 13 shows the first record in a MOVES sa mple output (rate per vehicle) emission file for year 2006. The rate per vehicle vari es for any combinations of month, day of week, hour of the day, pollutant, and process. Rates per vehicle emissions are applied to the vehicle souce type population.

Table 13 – Sample Emission File (R ate per Vehicle) for year 2006 Heading: MOVESScenarioID MOVESRunID yearID monthID dayID Record: Cuyahoga 1 2006 7 5 Heading: hourID zoneID pollutantID processID sourceTypeID Record: 1 990180 1 2 11 Heading: SCC fuelTypeID modelYearID temperature ratePerVehicle Record: 0 0 71 0.002892



### Table 14 shows the first record in a MOVES sample output (rate per profile) emission file for year 2006. The rate per vehicle vari es for any combinations of month, day of week, hour of the day, pollutant, and process. Rates per vehicle emissions are applied to the vehicle source type population.

Table 14 – Sample Emission File (Rate per Profile) for year 2006 Heading: MOVESScenarioID MOVESRunID yearID monthID dayID Record: Cuyahoga 1 9.9E+09 2006 5 Heading: hourID pollutantID processID sourceTypeID SCC Record: 1 12 11 Heading: fuelTypeID modelYearID temperature ratePerVehicle Record: 0 0 71 0.008215



### All output files are available in the electronic submittal.21 

## 4. Post Processing

Total emissions were computed with the ai d of several custom programs by ODOT. The process uses data on daily and directional tr affic distributions as well as more up to date volume/delay functions from the 2000 Highway Capacity Manual (HCM). This process, described below and ill ustrated in Figure 4, also uses rewritten code able to handle the newer model network formats and MOVES generated emi ssion factors.

First step (movessource.exe) ag gregates the emission factors. Rate per profile and rate per vehicle files are combined during this pr ocess. The resultant emission factor files contain emission factors broadly classified in to total vehicles, cars and trucks by pollutant, by average speed, road type and hour of day.

The second step in the the process involv es running ODOT postcms.exe to calculate hourly link volumes based on t he percentage of the daily vo lume (travel demand model output) determined by a link’s facility and area type. Link speeds from the travel demand model are not used in the analysis. The speeds are estimated as a postprocess to the model based on HCM methods using a link’s volume-to-capacity ratio and link group code. The daily to hourly volume conversion percentages and speed tables can be seen in Appendix B.

The third step (movesnet.exe) uses a combi nation of the MOVES emission factors and the hourly link volumes that are output of the postcms .exe program. The hourly volumes are multiplied by the MOVES emissi on factor for the co rresponding hour of day, speed bin, and roadtype to calculate em issions for every network link for each hour. The final link on road vehicle emission s for the area is the sum of all individual link-hour emissions.

The fourth step, (movesveh.ex e), calculates vehicle-based emissions for each source type for each hour of the day. The vehicle source type is based on a combination of local and default data. The final vehicle em issions for each county are the sum of all individual hourly emissions for all vehicle types.

Intrazonal trips do not get l oaded onto the network, so the fi fth step in the process requires a separate method to account for thos e trips that use local roads to travel within a zone. The movesintra.exe program us es intrazonal trips to estimate VMT using the area in square miles and intrazonal trip s of each zone. The zone is assumed circular and the radius of the circle is used as the average trip length for these intrazonal trips. Intrazonal emissions are then calculated by combining MOVES generated emissions with estimat ed intrazonal VMT. The em ission rates are the same as those used to calculated link based emissions.

The final step is to summarize link, vehicl e, and intrazonal emissions for each county, pollutant, and analyzed year. Summary em issions for each pollutant, county, and scenario year in northeast Ohio were previously displayed in tables 1-4.22Figure 4 – Emission Calculation ProcessMOVESTFMODOTCMAQNOACAAQODOTMOVESNETODOTMOVESINTRAEmission FactorsRate/Vehicle24HR NETSpeedCalculatorLNKGRPCMAQ NETCMAQ ReportHOURLY.CSVIntrazonal Trips24HRVehicle Trips4 PeriodsVehicle TripMatrices4 PeriodsAssigned NETVHTVMT4 CongestedSPEEDTAZ Area (Sq.mi)2. ODOT’s CMAQ POST-PROCESSOR3. INTRASOZNAL TRIP CALCULATION4. ODOT’s MOVESPOST-PROCESSOR1. NOACA AQPOST-PROCESSORRamp FractionsAverageSpeed DistributionRoad TypeVMT fractionsVehicle TypeAnnual VMTsFuel supply &formulationI/M ProgramAge DistributionMeteorologyZone ActivitySource TypePopulationTons/dayOUTPUTEMISSIONSEmission FactorsRate/DistanceEmission FactorsRate/ProfileMOVESSOURCEODOTODOTMOVESVEHMOVESSOURCEODOT23 

## 5. Multiple MPO Coordination Issues

AMATS, NOACA, ODOT, and OEPA have a long history of working together in air quality issues. All parties have had an opport unity to review and approve this summary document.24

## Appendix A

Interagency Consultation DocumentationFrom: Van Vlerah, Jennifer Sent: Wednesday, January 20, 2016 1:31 PM To: Moore, David; Byram, Mark; 'Gra nato, Samuel'; Brunello, Antonino; '( vnemalapuri@mpo.noaca.org )'; 'Bill Davis ( bdavis@mpo.noaca.org )'; 'E Kang ( ekang@mpo.noaca.org )'; 'cbaker@akronohio.gov'; 'Oester ling, Leigh'; 'cparasa@morpc.org'; 'mhill@lcounty.com'; 'ngill@morpc.org'; 'smapel@lcounty.com'; 'Phyllis Jividen ( Pjividen@akronohio.gov )'; Maietta, Anthony ( maietta.anthony@epa.gov ); 'aprater@akronohio.gov'; Fetty Davis, Erica; B eekman, Christopher; 'Svingen, Eric'; 'Doty, Edward'; 'Liljegren, Jennifer'; 'D'Agostino, Ka thleen'; 'Aburano, Douglas'; 'Blakley, Pamela' Cc: Fetty Davis, Erica; Beekman, Christopher Subject: RE: Interagency Consultation - 2008 Oz one Redesignations for Columbus and Cleveland Areas



### Please forgive me if I do not have everyone that was on the call on this email...please route as needed.

We concluded our IAC call in record time ...15 minutes! Representatives from NOACA, ODOT, OEPA, USEPA, and FHA were on the call. MORPC and LCATS were not on the call. Nick from MORPC did call me right after our call ended and I filled him in. If you can provide feedback on the minutes by COB 1/17/16 that would be appreciated.

The counties each agency is responsible for regarding the modeling: Cleveland: Cuyahoga, Geauga, Lake, Lorain and Medina counties: NOACA Ashtabula count y : ODOT Summit and Portage counties: AMATS

Columbus: Franklin, Delaware, Licking, Fairfiel d, Madison, and Knox counties: MORPC LCATS doesn’t model

ODOT (Nino) will perform MOVES runs to provide emissions factors to NOACA, AMATS and MORPC (MPOs). The MPOS will use the emissions factors in combination with the travel demand model to produce emissions in tons per summer day (TSD). The process will be documented by the MPOs in a report to be submitted to OEPA along with 2 disk of the modeling files for each area.

I am assuming ODOT (Nino) will be res ponsible for both the ODOT and MPO steps above for Ashtabula County? Therefore, Ni no will need to coordi nate with NOACA and AMATS in providing the emissi ons for the final write-up.

Here is the pollutant and year needs for each county:

VOC, NOx (TSD) 2011, 2014, 2020, 2030. 2020 and 2030 will be budget years. We will once again try to accommodate a 15% safety margin for mobile budgets. Once all sector emissions are analyzed, OEPA will notify everyone via email of the results and ability to accommodate the 15%.

### I am proposing the following timeline:

ODOT delivery of data to MPOs: 2/5/16 (3.5 weeks) MPO deliver to OEPA: 2/26/16 (3 weeks)

Thanks for your participation, Jennifer

Jennifer Van Vlerah Manager, SIP, Inventory and Rulemaking Ohio EPA Division of Air Pollution Control 614-644-3696

From: Van Vlerah, Jennifer Sent: Friday, January 15, 2016 8:22 AM To: Moore, David; Byram, Mark; 'Gra nato, Samuel'; Brunello, Antonino; '( vnemalapuri@mpo.noaca.org )'; 'Bill Davis ( bdavis@mpo.noaca.org )'; 'E Kang ( ekang@mpo.noaca.org )'; 'cbaker@akronohio.gov'; 'Oester ling, Leigh'; 'cparasa@morpc.org'; 'mhill@lcounty.com'; 'ngill@morpc.org'; 'smapel@lcounty.com'; 'Phyllis Jividen ( Pjividen@akronohio.gov )'; Maietta, Anthony ( maietta.anthony@epa.gov ); 'aprater@akronohio.gov'; Fetty Davis, Erica; Beek man, Christopher; Svingen, Eric; Doty, Edward; Liljegren, Jennifer; D'Agostino, Kathleen ; Aburano, Douglas; Blakley, Pamela Cc: Fetty Davis, Erica; Beekman, Christopher Subject: RE: Interagency Consultation - 2008 Oz one Redesignations for Columbus and Cleveland Areas



### Looks like most everybody except NOACA ha s responded and the only day that works for everyone is January 20 at 1pm EST. So I am hoping this will work for them also and we can do them together since we will cover the same information.

I have a bridge line that only holds 18 so if you can all gather at your respective agencies as much as possible when you call in that will ensure nobody is left out.

The number is 614-387-7405.

I have also made a correction to the email below which will serve as a rough agenda. If anyone wants to email me other topics they would like to cover in advance I’ll include them.

Thanks much, Jen

Jennifer Van Vlerah Manager, SIP, Inventory and Rulemaking Ohio EPA Division of Air Pollution Control 614-644-3696

From: Van Vlerah, Jennifer Sent: Thursday, January 14, 2016 1:27 PMTo: Moore, David; Byram, Mark; Granato, Samuel; Brunello, Antonino; ( vnemalapuri@mpo.noaca.org ); Bill Davis ( bdavis@mpo.noaca.org ); E Kang ( ekang@mpo.noaca.org ); 'cbaker@akronohio.gov'; Oesterlin g, Leigh; 'cparasa@morpc.org'; 'mhill@lcounty.com'; 'ngill@morpc.org'; 'smapel@lcounty.com'; 'Phyllis Jividen ( Pjividen@akronohio.gov )'; Maietta, Anthony ( maietta.anthony@epa.gov ) Cc: Fetty Davis, Erica; Beekman, Christopher Subject: Interagency Consultation - 2008 Ozone Redesignations for Columbus and Cleveland Areas



### Hello IAC contacts,

We are wrapping up development of our redesi gnation request and maintenance plan for the 2008 ozone standard for the Cincinnati area. We now would like to move on to preparing documents for Columbus and Clevel and areas. It is im portant we have all redesignations in under the 2008 ozone sta ndard with sufficient time for USEPA to approve them prior to USEPA making designa tions under the newer 2015 ozone standard (Oct 2017). We will need assistance in mobile emissions inventories and projections for these areas.

Here is a summary of the counties with the MPOs/Agencies I believe modeled each county last time. Please correct me if I am wrong! And please let me know if I should add/remove anyone from th is distribution list.

Cleveland: Cuyahoga, Geauga, Lake, Lorain and Medina counties: NOACA Ashtabula count y : ODOT Summit and Portage counties: AMATS (data goes to Nino at ODOT for extrapolating data for Air Quality)

Columbus: Franklin, Delaware, Licking, Fairfiel d, Madison, and Knox counties: MORPC LCATS, ODOT doesn’t model

Here is the pollutant and year needs for each county:

VOC, NOx 2011, 2014, 2020, 2030

I have also attached the write-up from OKI for the Cincinnati area. We will need something similar for your areas also. We also need two disks with all the modeling files once finalized.

We will once again try to accommodate a 15 % safety margin for mobile budgets.

Thanks much, Jennifer

### Jennifer Van Vlerah Manager, SIP, Inventory and Rulemaking Ohio EPA Division of Air Pollution Control 614-644-3696