Citation:

Singh, R. B. AND A H. Huber. APPLICATION OF A MICROSCALE EMISSION FACTOR MODEL FOR PARTICULATE MATTER (MICROFACPM) IN CONJUNCTION WITH CALINE4-MODEL. Presented at Proceedings of the 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 pollutant sources through the air pathway to human exposure in significant microenvironments of exposure. As a part of this project, we developed MicroFacPM, a microscale emission factor model for predicting real-world real-time motor vehicle particulate matter (PM10 and PM2.5) emissions. MicroFacPM uses available information on the vehicle fleet composition. The main input variables required are the characterization of on-road vehicle fleet, time and day of the year, ambient temperature, relative humidity and percentage of smoking vehicles. Using the fleet information, MicroFacPM estimates a Composite Emission Factor (milligrams per mile). This paper presents the use of MicroFacPM to calculate the contribution of PM2.5 from motor vehicle sources along an example roadway as input to a roadway air dispersion model. The contribution of PM2.5 is presented per vehicle class (light, heavy duty), vehicle age, fuel type (gasoline, diesel), brake wear and tire wear sources.

The U.S. Environmental Protection Agency through its Office of Reserarch and Development funded the research described here. It has been subjected to Agency review and approved for publication. Mention of trade names or commercial products does not constitute an endorsement or recommendation for use.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ PAPER)

Product Published Date:06/23/2002

Record Last Revised:06/21/2006

Record ID: 63874

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Related Organizations:

Role :OWNER

Organization Name :US ENVIRONMENTAL PROTECTION AGENCY

Organization Name :OFFICE OF RESEARCH AND DEVELOPMENT

Organization Name :NATIONAL EXPOSURE RESEARCH LAB

Organization Name :ATMOSPHERIC MODELING DIVISION

Document IDs:

EPA Number :EPA/600/A-03/042

NTIS Number : PB2004-101302