Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United States

Environmental Health Perspectives

Volumn 120, Issue 12, 2012, Pages 1727-1732

  Lee, Seung Jae ^a   Serre, Marc L ^b   van Donkelaar, Aaron ^c   Martin, Randall V ^c,d   Burnett, Richard T ^e   Jerrett, Michael ^f  

^a Risk Management Solutions Inc   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c DALHOUSIE UNIVERSITY   (Canada)

^d HARVARD SMITHSONIAN CENTER FOR ASTROPHYSICS   (United States)

^e HEALTH CANADA   (Canada)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Air pollution; Chronic exposure; Geostatistics; PM2.5; Remote sensing

Indexed keywords

AIR MONITORING; AIR POLLUTION; ARTICLE; GEOSTATISTICAL ANALYSIS; HUMAN; KRIGING; LONG TERM EXPOSURE; PARTICULATE MATTER; PRIORITY JOURNAL; REMOTE SENSING; UNITED STATES;

AIR POLLUTANTS; ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; PARTICLE SIZE; PARTICULATE MATTER; REMOTE SENSING TECHNOLOGY; SPACECRAFT; SPATIAL ANALYSIS; UNITED STATES;

EID: 84870503492     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/ehp.1205006     Document Type: Article

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