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A review and evaluation of intraurban air pollution exposure models

Jerrett, M., Arain, A., Kanaroglou, P., Beckerman, B., Potoglou, Dimitris, Sahsuvaroglu, T., Morrison, J. and Giovis, C. 2005. A review and evaluation of intraurban air pollution exposure models. Journal of Exposure Science and Environmental Epidemiology 15 (2) , pp. 185-204. 10.1038/sj.jea.7500388

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Abstract

The development of models to assess air pollution exposures within cities for assignment to subjects in health studies has been identified as a priority area for future research. This paper reviews models for assessing intraurban exposure under six classes, including: (i) proximity-based assessments, (ii) statistical interpolation, (iii) land use regression models, (iv) line dispersion models, (v) integrated emission-meteorological models, and (vi) hybrid models combining personal or household exposure monitoring with one of the preceding methods. We enrich this review of the modelling procedures and results with applied examples from Hamilton, Canada. In addition, we qualitatively evaluate the models based on key criteria important to health effects assessment research. Hybrid models appear well suited to overcoming the problem of achieving population representative samples while understanding the role of exposure variation at the individual level. Remote sensing and activity-space analysis will complement refinements in pre-existing methods, and with expected advances, the field of exposure assessment may help to reduce scientific uncertainties that now impede policy intervention aimed at protecting public health.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology > TD Environmental technology. Sanitary engineering
Uncontrolled Keywords: air pollution, exposure assessment, intraurban scale, GIS, dispersion models, health effects assessment
Publisher: Nature Publishing Group
ISSN: 1053-4245
Last Modified: 07 Nov 2019 09:09
URI: http://orca.cf.ac.uk/id/eprint/37317

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