[논문]Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California

Hu, Jianlin; Zhang, Hongliang; Chen, Shuhua; Ying, Qi; Wiedinmyer, Christine; Vandenberghe, Francois; Kleeman, Michael J.

doi:10.1021/es404810z

Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California

Environmental science & technology, v.48 no.9, 2014년, pp.4980 - 4990

Hu, Jianlin (Department of Civil and Environmental Engineering, University of California) , Zhang, Hongliang (Davis, One Shields Avenue, Davis California 95616-5270,) , Chen, Shuhua (Department of Civil and Environmental Engineering, University of California) , Ying, Qi (Davis, One Shields Avenue, Davis California 95616-5270,) , Wiedinmyer, Christine (Department of Land, Air, and Water Resources, University of California) , Vandenberghe, Francois (Davis, One Shields Avenue, Davis California 95616-5270,) , Kleeman, Michael J. (Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, Texas 77843-3136,)

Abstract ▼ AI-Helper

The University of CaliforniaDavis_Primary (UCD_P) model was applied to simultaneously track ∼900 source contributions to primary particulate matter (PM) in California for seven continuous years (January 1st, 2000 to December 31st, 2006). Predicted source contributions to primary PM2.5 mass, PM1.8 elemental carbon (EC), PM1.8 organic carbon (OC), PM0.1 EC, and PM0.1 OC were in general agreement with the results from previous source apportionment studies using receptor-based techniques. All sources were further subjected to a constraint check based on model performance for PM trace elemental composition. A total of 151 PM2.5 sources and 71 PM0.1 sources contained PM elements that were predicted at concentrations in general agreement with measured values at nearby monitoring sites. Significant spatial heterogeneity was predicted among the 151 PM2.5 and 71 PM0.1 source concentrations, and significantly different seasonal profiles were predicted for PM2.5 and PM0.1 in central California vs southern California. Population-weighted concentrations of PM emitted from various sources calculated using the UCD_P model spatial information differed from the central monitor estimates by up to 77% for primary PM2.5 mass and 148% for PM2.5 EC because the central monitor concentration is not representative of exposure for nearby population. The results from the UCD_P model provide enhanced source apportionment information for epidemiological studies to examine the relationship between health effects and concentrations of primary PM from individual sources.Graphic AbstractACS Electronic Supporting Info

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Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California

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