Office of Research and Development Publications

Source Apportionment of Primary and Secondary Organic Aerosol Using Positive Matrix Factorization (PMF) of Molecular Markers

Citation:

Zhang, Y., R. J. SHEESLEY, J. J. SCHAUER, M. LEWANDOWSKI, MOHAMMAD JAOUI, J. H. OFFENBERG, T. E. KLEINDIENST, AND E. O. EDNEY. Source Apportionment of Primary and Secondary Organic Aerosol Using Positive Matrix Factorization (PMF) of Molecular Markers. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(34):5567-5574, (2009).

Impact/Purpose:

The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.

Description:

Monthly average ambient concentrations of more than eighty particle-phase organic compounds, as well as total organic carbon (OC) and elemental carbon (EC), were measured from March 2004 through February 2005 in five cities in the Midwestern United States. A multi-variant source apportionment receptor model, positive matrix factoriztion (PMF), was applied to explore the average source contributions to the five sampling sites using molecular markers for primary and secondary organic aerosols (POA, SOA).

URLs/Downloads:

Atmospheric Environment   Exit EPA's Web Site

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:11/01/2009
Record Last Revised:10/15/2009
OMB Category:Other
Record ID: 201424