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Air Quality Modeling Needs for Exposure Assessment form the Source-To-Outcome Perspective
Citation:
GEORGOPOULOS, P. G., S. ISUKAPALLI, J. M. BURKE, S. NAPELENOK, T. PALMA, J. LANGSTAFF, M. Majeed, S. He, D. W. BYUN, M. Cohen, AND R. Vautard. Air Quality Modeling Needs for Exposure Assessment form the Source-To-Outcome Perspective. EM: AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, (10/2009):26-34, (2009).
Impact/Purpose:
The 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:
Humans are exposed continuously to mixtures of air pollutants. The compositions of these mixtures vary with time and location and their components originate from many types of sources, both local and distant, including industrial facilities, vehicles, consumer products, and more. Exposure characterization is often the weakest link in the “source-to-outcome” sequence of processes and events affecting human and ecological health risks from environmental pollutants.
URLs/Downloads:
Air Quality Modeling Needs for Exposure Assessment form the Source-To-Outcome Perspective (PDF, NA pp, 6017 KB, about PDF)EM
