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Integration of Air Quality Modeling and Monitoring Data for Enhanced Health Exposure Assessment
Citation:
Denby, B., V. GARCIA, D. M. HOLLAND, AND C. Hogrefe. Integration of Air Quality Modeling and Monitoring Data for Enhanced Health Exposure Assessment. EM: AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, (10/2009):46-49, (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:
In order to assess the environmental impact of air pollution on human health it is necessary to establish the concentrations to which the population is exposed. The obvious way to determine this is to measure these quantities. However, given the limited number of monitoring stations available, how is it possible to provide spatially distributed pollution concentrations far from monitoring sites in order to assess the exposure of an entire population?
URLs/Downloads:
Integration of Air Quality Modeling and Monitoring Data for Enhanced Health Exposure Assessment (PDF, NA pp, 1920 KB, about PDF)EM
