title: Sensitivity analysis and evaluation of microFacCO: a microscale motor vehicle emission factor model for CO emissions.
abstract: This paper presents a sensitivity analysis of a microscale emission factor model (MicroFacCO) for predicting real-time site-specific motor vehicle CO emissions to input variables, as well as a limited field study evaluation of the model. The sensitivity analysis has shown that MicroFacCO emission estimates are very sensitive to vehicle fleet composition, speed, and ambient temperature. For the present U.S. traffic fleet, the CO emission rate (g/mi) is increased by more than 500% at 5 mph in comparison with a speed greater than 40 mph and by approximately 67% at ambient temperatures of 45 degrees F and > or = 95 degrees F in comparison with an ambient temperature of 75 degrees F. The input variable "emission failure standard rate" is more sensitive to estimating emission rates in the 1990s than in the 2000s. The estimation of emission rates is not very sensitive to relative humidity. MicroFacCO can also be applied to examine the contribution of emission rates per vehicle class and model year. The model evaluation is presented for tunnel studies at five locations. In general, this evaluation study found good agreement between the measured and the modeled emissions. These analyses and evaluations have identified the need for additional studies to update the high-speed (>35 mph) air conditioning (A/C) correction factor and to add effects due to road grades. MicroFacCO emission estimates are very sensitive to the emission standard failure rate. Therefore, the model performance can be greatly improved by using a local emission standard failure rate.
authors.affiliation: National Research Council Research Associate, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA. singh.rakesh@epa.gov
authors.forename: R B
authors.initials: RB
authors.lastname: Singh
authors.forename: A H
authors.initials: AH
authors.lastname: Huber
mesh_terms: D000465:Algorithms; D002248:Carbon Monoxide / Q000032:analysis*; D004781:Environmental Exposure; D005544:Forecasting; D006801:Humans; D008962:Models, Theoretical; D018570:Risk Assessment; D001335:Vehicle Emissions / Q000032:analysis*
chemical_list: D001335:Vehicle Emissions; D002248:Carbon Monoxide