title: Comparison of the MOVES2010a, MOBILE6.2, and EMFAC2007 mobile source emission models with on-road traffic tunnel and remote sensing measurements.
abstract: The Desert Research Institute conducted an on-road mobile source emission study at a traffic tunnel in Van Nuys, California, in August 2010 to measure fleet-averaged, fuel-based emission factors. The study also included remote sensing device (RSD) measurements by the University of Denver of 13,000 vehicles near the tunnel. The tunnel and RSD fleet-averaged emission factors were compared in blind fashion with the corresponding modeled factors calculated by ENVIRON International Corporation using U.S. Environmental Protection Agency's (EPA's) MOVES2010a (Motor Vehicle Emissions Simulator) and MOBILE6.2 mobile source emission models, and California Air Resources Board's (CARB's) EMFAC2007 (EMission FACtors) emission model. With some exceptions, the fleet-averaged tunnel, RSD, and modeled carbon monoxide (CO) and oxide of nitrogen (NO(x)) emission factors were in reasonable agreement (+/- 25%). The nonmethane hydrocarbon (NMHC) emission factors (specifically the running evaporative emissions) predicted by MOVES were insensitive to ambient temperature as compared with the tunnel measurements and the MOBILE- and EMFAC-predicted emission factors, resulting in underestimation of the measured NMHC/NO(x) ratios at higher ambient temperatures. Although predicted NMHC/NO(x) ratios are in good agreement with the measured ratios during cooler sampling periods, the measured NMHC/NO(x) ratios are 3.1, 1.7, and 1.4 times higher than those predicted by the MOVES, MOBILE, and EMFAC models, respectively, during high-temperature periods. Although the MOVES NO(x) emission factors were generally higher than the measured factors, most differences were not significant considering the variations in the modeled factors using alternative vehicle operating cycles to represent the driving conditions in the tunnel. The three models predicted large differences in NO(x) and particle emissions and in the relative contributions of diesel and gasoline vehicles to total NO(x) and particulate carbon (TC) emissions in the tunnel.
  
  
  CONCLUSIONS
  Although advances have been made to mobile source emission models over the past two decades, the evidence that mobile source emissions of carbon monoxide and hydrocarbons in urban areas were underestimated by as much as a factor of 2-3 in past inventories underscores the need for on-going verification of emission inventories. Results suggest that there is an overall increase in motor vehicle NMHC emissions on hot days that is not fully accounted for by the emission models. Hot temperatures and concomitant higher ratios of NMHC emissions relative to NO(x) both contribute to more rapid and efficient formation of ozone. Also, the ability of EPA's MOVES model to simulate varying vehicle operating modes places increased importance on the choice of operatingmodes to evaluate project-level emissions.
authors.affiliation: Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA. Eric.Fujita@dri.edu
authors.forename: Eric M
authors.initials: EM
authors.lastname: Fujita
authors.forename: David E
authors.initials: DE
authors.lastname: Campbell
authors.forename: Barbara
authors.initials: B
authors.lastname: Zielinska
authors.forename: Judith C
authors.initials: JC
authors.lastname: Chow
authors.forename: Christian E
authors.initials: CE
authors.lastname: Lindhjem
authors.forename: Allison
authors.initials: A
authors.lastname: DenBleyker
authors.forename: Gary A
authors.initials: GA
authors.lastname: Bishop
authors.forename: Brent G
authors.initials: BG
authors.lastname: Schuchmann
authors.forename: Donald H
authors.initials: DH
authors.lastname: Stedman
authors.forename: Douglas R
authors.initials: DR
authors.lastname: Lawson
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002140:California; D002947:Cities; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D006358:Hot Temperature; D008962:Models, Theoretical; D058998:Remote Sensing Technology / Q000295:instrumentation / Q000379:methods*; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D001335:Vehicle Emissions