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Evaluation of Land Use Regression Models Used to Predict Air Quality Concentrations in an Urban Area
Citation:
Johnson, M. M., V. ISAKOV, J. TOUMA, S. MUKERJEE, AND H. A. OZKAYNAK. Evaluation of Land Use Regression Models Used to Predict Air Quality Concentrations in an Urban Area. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 44(30):3660-3668, (2010).
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA′s mission to protect human health and the environment. AMAD′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. 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:
Cohort studies designed to estimate human health effects of exposures to urban pollutants require accurate determination of ambient concentrations in order to minimize exposure misclassification errors. However, it is often difficult to collect concentration information at each study subject locations. In the absence of complete subject-specific measurements, Land Use Regression (LUR) models have frequently been used for estimating individual levels of exposures to ambient air pollution. The LUR models, however, have several limitations mainly dealing with extensive monitoring data needs and challenges involved in their broader applicability to other locations. In contrast, air quality models can provide high-resolution source-concentration linkages for multiple pollutants, but require detailed emissions and meteorological information.
URLs/Downloads:
Evaluation of Land Use Regression Models Used to Predict Air Quality Concentrations in an Urban Area (PDF, NA pp, 6856 KB, about PDF)Atmospheric Environment
