Predicting Chronic Fine and Coarse Particulate Exposures Using Spatiotemporal Models for the Northeastern and Midwestern United States | Zendy

Jeff D. Yanosky | Zendy; Christopher J. Paciorek | Zendy; Helen Suh | Zendy

Open Access

Predicting Chronic Fine and Coarse Particulate Exposures Using Spatiotemporal Models for the Northeastern and Midwestern United States

Author(s) -

Jeff D. Yanosky,

Christopher J. Paciorek,

Helen Suh

Publication year - 2008

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.11692

Subject(s) - aerodynamic diameter , particulates , environmental science , atmospheric sciences , population , predictive modelling , regression analysis , meteorology , aerosol , statistics , geography , mathematics , environmental health , chemistry , geology , organic chemistry , medicine

Chronic epidemiologic studies of particulate matter (PM) are limited by the lack of monitoring data, relying instead on citywide ambient concentrations to estimate exposures. This method ignores within-city spatial gradients and restricts studies to areas with nearby monitoring data. This lack of data is particularly restrictive for fine particles (PM with aerodynamic diameter < 2.5 microm; PM(2.5)) and coarse particles (PM with aerodynamic diameter 2.5-10 microm; PM(10-2.5)), for which monitoring is limited before 1999. To address these limitations, we developed spatiotemporal models to predict monthly outdoor PM(2.5) and PM(10-2.5) concentrations for the northeastern and midwestern United States.

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