You are here:
“Applying Multi-scale Air Quality Models to Support Epidemiologic Studies”.
Citation:
Snyder, M., V. Isakov, D. Heist, J. Burke, S. Bereznicki, S. Arunachalam, AND S. Batterman. “Applying Multi-scale Air Quality Models to Support Epidemiologic Studies”. Presented at ISES, Basel, SWITZERLAND, August 19 - 23, 2013.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA mission to protect human health and the environment. AMAD research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD 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 AMAD 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 Near-road Exposures and Effects of Urban air pollutant Study (NEXUS) investigating whether children with asthma living near major roadways in Detroit, MI have greater health impacts from air pollutants than those living farther away, particularly near roadways with high diesel traffic. Air quality modeling provides spatially and temporally varying exposure estimates for examining relationships between traffic-related air pollutants and adverse health outcomes. Measurements collected at a subset of participant homes and three stationary sites are used for model evaluation.