Development of a microscale emission factor model for particulate matter for predicting real-time motor vehicle emissions

被引:12
|
作者
Singh, RB
Huber, AH
Braddock, JN
机构
[1] US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
[2] Natl Ocean & Atmospher Adm, Air Resources Lab, Atmospher Sci Modeling Div, Res Triangle Pk, NC USA
来源
关键词
D O I
10.1080/10473289.2003.10466288
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The U.S. Environmental Protection Agency's National Exposure Research Laboratory is pursuing a project to improve the methodology for modeling human exposure to motor vehicle emissions. The overall project goal is to develop improved methods for modeling the source through the air pathway to human exposure in significant exposure microenvironments. Current particulate matter (PM) emission models, particle emission factor model (used in the United States, except California) and motor vehicle emission factor model (used in California only), are suitable only for county-scale modeling and emission inventories. There is a need to develop a site-specific real-time emission factor model for PM emissions to support human exposure studies near roadways. A microscale emission factor model for predicting site-specific real-time motor vehicle PM (MicroFacPM) emissions for total suspended PM, PM less than 10 mum aerodynamic diameter, and PM less than 2.5 mum aerodynamic diameter has been developed. The algorithm used,to calculate emission factors in MicroFacPM is disaggregated, and emission factors are calculated from a real-time fleet, rather than from a fleet-wide average estimated by a vehicle-miles-traveled weighting of the emission factors for different vehicle classes. MicroFacPM requires input information necessary to characterize the site-specific real-time fleet being modeled. Other variables required include average vehicle speed, time and day of the year, ambient temperature, and relative humidity.
引用
收藏
页码:1204 / 1217
页数:14
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