## Methodology Used to Develop MOVES Inputs

MOVES inputs were developed in accordance with guidance provided in EPA document 420b12028, titled “Using MOVEStoprepare EIs for SIP and Conformity”. Discussions on these inputs arepresented below. Meteorology data used forthis analysis wasbased on local information obtained fromNOAA data atthe Memphis International Airport (MIA) and was adapted for MOVES using the EPA conversion tool. Tem perature

– The minimum and maximum daily temperature estimates of 73F and 97F, respectively, were derived from temperatures recorded over a three year period on the ten highest ozone exceedance days. These values have been reliedupon inprevious state implementation plans and were determinedto be appropriate for use in the ozone season through theinteragency consultation group (IAC) process. Reid Vapor Pressure (RVP)

– 7.8 pounds per square inch (psi) was used as 40 CFR 80.270, titled “Controls and Prohibitions on Gasoline Volatility”, indicates it is the ozone season regulatory maximum RVP f or Shelby County, Tennessee. This value has been relied upon in previous state implementation plans and was determined to be appropriate foruse in ozone season through the interagency consultation group (IAC) process. Humidity

– In apre-analysis consensus IAC discussion and asrecorded in a May 17, 2013 memorandum (the document is located inAttachment II

– Intergovernmental Consultation) oftheplan revision), TDEC provided three

-year average data from the MIA for the month ofJuly, including hourly temperatures and relative humidity (see the table below)

. The consensus assumed the meteorological MIA data could be applied throughout the entire modeled area ofShelby County. Later, it was requestedby the Department that the MPO use meteorological data (to include absolute humidity) in the 2014

-2017 TIP and 2040 LRTP Conformity Demonstration, that had been used in the 2010 Shelby County Maintenance Plan for Ozone. However, the data introduced in the pre-analysis consensus was used to demonstrate conformity, which was acceptable, as the data was locally generated and therefore more representative than the MOVES default data. Hourly Temperature and Relative Humidity Values

monthID hourID temperature relHumidity hourID temperature relHumidity 7 1 78.2 78.1 13 94.1 56.0 7 2 76.8 79.9 14 96.1 54.1 7 3 75.7 81.8 15 96.8 52.7 7 4 74.9 82.9 16 97.0 52.5 7 5 74.3 84.3 17 96.5 52.8 7 6 73.6 85.4 18 95.1 54.1 7 7 73.0 84.9 19 92.7 57.2 7 8 73.5 79.7 20 89.6 62.3 7 9 76.5 73.3 21 86.5 67.3 7 10 81.3 67.7 22 83.8 71.1 7 11 86.2 62.7 23 81.9 74.4 7 12 90.4 59.1 24 80.0 76.4Source Type Population: MOVES default was used as a starting point for all source types. The MOVES

Technical Guidance offers guidance on how to leverage default population and VMT data alongside local VMT data to arrive at an estimate ofthe local population. This guidance suggests comparing the ratio of default source ty

pe population to default VMT to the local VMT to arrive at an estimate oflocal source type population. This methodology was applied for all analysis years. A growth rate was not applied, since growth is inherently built in through this methodology. Age Distribution: Used Shelby County, TN

-specific data obtained from the UTK paper “Tennessee Traffic Data for Estimating Air Pollution Emissions in 2002” and an EPA converter to change MOBILE6

-formatted information to MOVES format. Vehicle Type VMT and VMT Fractions: This data importer asks the user for the VMT in the study area by HPMS vehicle class type, hourly VMT distributions, daily VMT distributions, and monthly VMT distributions. The HPMS vehicle class VMT is asked for on an annual basis. To determine this information, datawaspulled from available travel demand models or from regional HPMS data. HPMS Vehicle Class VMT

– The HPMS vehicle class VMT was determined using the pre-processor developed within the travel demand model. The travel demand model classifies vehicles into automobiles, single unit trucks, and combination unit trucks. The three vehicle classes in the model were divided into the six HPMS vehicle class types through the pre-processor. Since the travel demand model produces daily weekday volumes, the EPA conversion tool was used to convert these daily VMT numbers to annual values. Daily VMT Fraction

– The University of Tennessee developed county

-specific daily VMT fractions, which were applied in this analysis. This information was provided in a format appropriate for use in MOVES. Monthly VMT Fraction

– The University of Tennessee developed county

-specific monthly VMT fractions, which were applied in this analysis. This information was provided in a format appropriate for use in MOVES. Hourly VMT Fraction

– The hourly VMT fraction was determined using the pre-processor developed within the travel demandmodel. To produce the information needed for the MOVES input file, the three vehicle classes in the model were expandedto the 13 MOVES vehicle source types. In addition, the four time of day periods in the model were expanded to represent each hour of the day. The default mix of off

network hourly distribution percentages was used for all vehicle classes. The following table displays the Shelby County annual VMT produced by the MOVES VMT converter by source type and by year.**Shelby County Annual VMT by Source Type** **and by Year**  **Source Type Source**  **Type ID**  **Source Type VMT**

**2006 2021**  Motorcycle 11 25,604,577 30,597,047 Passenger Car 21 6,116,293,396 7,308,869,710 Passenger Truck 31 1,393,265,928 1,664,929,980 Light Commercial Truck 32 465,466,353 556,224,433 Intercity Bus 41 3,712,127 4,873,218 Transit Bus 42 1,942,992 2,309,079 School Bus 43 25,201,662 32,497,370 Refuse Truck 51 2,897,462 2,074,341 Single Unit Shorthaul Truck 52 198,308,587 249,731,833 Single Unit Longhaul Truck 53 25,487,609 39,169,765 Motor Home 54 45,859,407 59,508,279 Combination Short

-haul Truck 61 166,694,865 222,336,742 Combination Long

-haul Truck 62 199,421,654 316,912,033 **Total 8,670,156,620**  **10,490,033,832** Average Speed Distribution: The average speed distribution was determined using the pre-processor developed within the travel demand model. The vehicle classes in the model were expanded to the 13 MOVESvehicle source types, and the hourly distribution was expanded from the four time periods in the model to each hour of the day. Road Type Distribution: The road type distribution was determined using the pre-processor developed within the travel demand model. The vehicle classes in the model were expanded to the 13 MOVES vehicle source types Ramp Fraction: The ramp fractions were determined using the pre-processor developed within the travel demand model. Fuel Supply and Fuel Formulation: MOVES default data for Shelby County (obtained from the MOVES program) was used for analysis year 2006. The Tennessee Department ofEnvironment and Conservation developed fuel supply and fuel formulation data for Shelby County for all analysis years 2012 andnewer. Fueltype and Technologies/Alternative Fuel Vehicle Types: If no information is entered for AVFT, MOVES assumes a default mix of alternative fuels. The MOVES default mix assumes a small percentage of compressed natural gas (CNG) transit buses. Since there are no CNG buses in the transit fleet for Shelby County, the default value for this file was modified to reflect only diesel and gasoline fuel types. Inspection and Maintenance (I/M) Programs: The compliance factors in these files were adjusted to reflect not only participation within the City of Memphis, but also Shelby County as a whole. As stated in the EPA MOVES Technical guidance, this methodology can be used to avoid conducting two sets of runs that are then interpolated outside of MOVES

.