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Source apportionment with uncertainty estimates of PM2.5 in Ostrava, Czech Republic using Positive Matrix Factorization
Conner, T., L. Cernikovsky, J. Novak, AND R. Williams. Source apportionment with uncertainty estimates of PM2.5 in Ostrava, Czech Republic using Positive Matrix Factorization. 2015 European Aerosol Conference, Milan, ITALY, September 10, 2015.
The National Exposure Research Laboratory (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA mission to protect human health and the environment. HEASD research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA 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.
Source Apportionment with Uncertainty Estimates of PM2.5 in Ostrava, Czech Republic Using Positive Matrix Factorization
Record Details:Record Type: DOCUMENT (PRESENTATION/POSTER)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL EXPOSURE RESEARCH LABORATORY
HUMAN EXPOSURE AND ATMOSPHERIC SCIENCES DIVISION
ENVIRONMENTAL CHARACTERIZATION & APPORTIONMENT BRANCH