Science Inventory

Source apportionment with uncertainty estimates of PM2.5 in Ostrava, Czech Republic using Positive Matrix Factorization

Citation:

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.

Impact/Purpose:

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.

Description:

Source Apportionment with Uncertainty Estimates of PM2.5 in Ostrava, Czech Republic Using Positive Matrix Factorization

URLs/Downloads:

http://www.eac2015.it/   Exit

Record Details:

Record Type: DOCUMENT (PRESENTATION/POSTER)
Product Published Date: 09/10/2015
Record Last Revised: 03/17/2016
OMB Category: Other
Record ID: 311400

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