Special Issue "Air Pollution Modeling"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (15 August 2014)
Dr. Michael S. Breen
National Exposure Research Laboratory Office of Research and Development US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
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Interests: air pollution exposure modeling; building air exchange rate modeling; integrating personal sensor technologies with computational exposure models; applying exposure modeling tools for health studies and citizen scientists
Dr. Vlad Isakov
Computational Exposure Division, National Exposure Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
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Interests: Dispersion modeling; Boundary layer meteorology; Local-scale Air Quality Modeling; Web-based air quality models and visualization systems; Exposure characterization for environmental health assessments; Community-based decision support
A major challenge in environmental epidemiology research is improving exposure assessments. This is especially important for epidemiologic studies focusing on exposure to air pollutants. Due to cost and participant burden of personal air pollution measurements, air pollution health studies often estimate exposures based on measurements from outdoor air monitors at central-site locations. This can lead to substantial exposure misclassifications since concentrations inside buildings can significantly differ from central-site concentrations, and people spend the majority of their time indoors. To improve exposure assessments, air quality and exposure models can be used. Air quality models can improve the spatial and temporal resolution of outdoor air pollutant concentrations. Air pollution exposure models, which consider human time-location data and indoor/outdoor relationships of air pollutants, can better account for human mobility and indoor air pollutant concentrations. Therefore, linking of air quality models with exposure models can improve exposure assessments for populations of interest.
The goal of this Special Issue on air pollution modeling is to highlight novel research and analyses on development and evaluation of air quality and exposure models, with an emphasis on applications for health studies. For air quality models, particular interests include innovative approaches for the emission, deposition, and transport aspects of air pollutants. This Special Issue represents an effort to capture current developments in the field and provide a forum for cutting edge contributions to the literature. Research papers, analytical reviews, case studies, conceptual frameworks, and policy-relevant articles are encouraged.
Dr. Michael Breen
Dr. Vlad Isakov
Manuscript Submission Information
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