Science Inventory

Exposure Reconstruction: A Framework of Advancing Exposure Assessment

Citation:

FULK, F. A., M. K. MORGAN, AND J. F. KENNEKE. Exposure Reconstruction: A Framework of Advancing Exposure Assessment. EM: AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, (July 2008):35-37, (2008).

Impact/Purpose:

National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling Division (AMD) conducts research in support of EPA′s mission to protect human health and the environment. AMD′s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation′s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.

Description:

The U.S. Environmental Protection Agency’s (EPA) primary goal for environmental protection is to eliminate or minimize the exposure of humans and ecosystems to potential contaminants. With the number of environmental contaminants increasing annually – more than 2000 new chemicals are manufactured or imported each year for use in the United States – understanding the sources of contaminants, the movement of contaminants through environmental media, and the contact of contaminants with humans and ecosystems is critical to advancing the environmental protection in the United States.

URLs/Downloads:

EM Magazine   Exit EPA's Web Site

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:07/01/2008
Record Last Revised:10/15/2009
OMB Category:Other
Record ID: 199984