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Comparison of the MOVES2010a, MOBILE6.2, and EMFAC2007 mobile source emission models with on-road traffic tunnel and remote sensing measurements.
- Source :
-
Journal of the Air & Waste Management Association (Taylor & Francis Ltd) . Oct2012, Vol. 62 Issue 10, p1134-1149. 16p. - Publication Year :
- 2012
-
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 (NOx) 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/NOxratios at higher ambient temperatures. Although predicted NMHC/NOxratios are in good agreement with the measured ratios during cooler sampling periods, the measured NMHC/NOxratios 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 NOxemission 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 NOxand particle emissions and in the relative contributions of diesel and gasoline vehicles to total NOxand particulate carbon (TC) emissions in the tunnel. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EMISSIONS (Air pollution)
*TRAFFIC engineering
*REMOTE sensing
*HYDROCARBONS
Subjects
Details
- Language :
- English
- ISSN :
- 10962247
- Volume :
- 62
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Journal of the Air & Waste Management Association (Taylor & Francis Ltd)
- Publication Type :
- Academic Journal
- Accession number :
- 84464739
- Full Text :
- https://doi.org/10.1080/10962247.2012.699016