Science Inventory

APPLICATION OF A MICROSCALE EMISSION FACTOR MODEL FOR PARTICULATE MATTER (MICROFACPM) TO CALCULATE VEHICLE GENERATED CONTRIBUTION PM 2.5 EMISSIONS

Citation:

Singh, R. B., A H. Huber, AND J N. Braddock. APPLICATION OF A MICROSCALE EMISSION FACTOR MODEL FOR PARTICULATE MATTER (MICROFACPM) TO CALCULATE VEHICLE GENERATED CONTRIBUTION PM 2.5 EMISSIONS. Presented at 95th Annual Conference of the AWMA, Baltimore, MD, June 23-27, 2002.

Impact/Purpose:

The research is planned to meet the following objectives:

Support is provided to HEASD Tasks by Alan Huber. (60% 9524 New Air Toxics Modeling, ; 10% 5732 PM Population Exposure Modeling; 10% 3948 Next Generation MMMP Exposure Modeling; 10% N533 PM Toxic agent exposure modeling, and 10% 3957 Integrated Human Exposure Source-to-Dose Modeling)

  • Development of data and algorithms for exposure modeling in urban areas, to be used in refined probabilistic exposure models being developed elsewhere, to allow prediction of human exposures for an urban population.

  • Characterize exposures and variability of concentrations in critical microenvironments in urban areas using targeted measurement studies and refined air quality models.

  • Identify critical human activities influencing exposures, especially identifying microenvironments that are key to exposures to urban air toxics.

  • Develop methods (measurements, dispersion modeling, receptor modeling) to distinguish exposures to "near field" sources - like indoor sources, human activities or hobbies, or nearby point or area sources - from "background" concentrations or from distant sources that can be modeled well by compartmental or air quality models.

  • Provide data and algorithms based on a scientific understanding of exposure dynamics for inclusion in NERL human exposure models and other models like OAR's TRIM..

  • Description:

    The United States Environmental Protection Agency's (EPA) National Exposure Research Laboratory is developing improved methods for modeling the source through the air pathway to human exposure in significant microenvironments of exposure. As a part of this project, we developed a microscale emission factor model for predicting real-world real-time motor vehicle particulate matter (PM 10 and PM 2.5) (MicroFacPM) emissions, which uses available information on the vehicle fleet composition. This paper the use of MicroFacPM to calculate the contribution of PM 2.5 per vehicle class, age-wise, gasoline, diesel, brake wear and tire wear sources. The contribution of emission factors is presented for two scenarios: first the Tuscarora Mountain Tunnel, on the Pennsylvania Turnpike, PA and second for Capital Boulevard, in Raleigh, NC. In the Tuscarora Tunnel, average contributions of PM 2.5 emission factors were 2.4 percent from 58.7 percent LDGV&T, 2.9 percent from 0.4 percent LDDV&T, 0.04 percent from 0.8 percent HDGV, 3.6 percent from 1.5 percent HDDV45, 1.1 percent from 0.9 percent HDDV6, 14.7 percent from 6.5 percent HDDV7, 20.0 percent from 9.4 percent HDDV8A, 5.16 percent from 21.8 percent HDDV8B, and 3.7 percent from tire wear emissions. For the Capital Boulevard, Raleigh, NC, scenario the largest PM 2.5 contribution was from light-duty diesel trucks (37% emissions from 2% vehicles) followed by heavy-duty trucks class 8 (22% from 1% vehicles).

    Record Details:

    Record Type:DOCUMENT( PRESENTATION/ PAPER)
    Product Published Date:06/23/2002
    Record Last Revised:06/21/2006
    Record ID: 63962