Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

被引:545
作者
van Donkelaar, Aaron [1 ]
Martin, Randall V. [1 ]
Li, Chi [1 ]
Burnett, Richard T. [1 ]
机构
[1] Dalhousie Univ, Dept Phys & Atmospher Sci, 6300 Coburg Rd, Halifax, NS B3H 3J5, Canada
关键词
AEROSOL OPTICAL DEPTH; GLOBAL FIRE EMISSIONS; LONG-TERM EXPOSURE; AIR-POLLUTION; UNITED-STATES; PM2.5; TRENDS; MORTALITY; CHINA; RETRIEVALS;
D O I
10.1021/acs.est.8b06392
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An accurate fine-resolution surface of the chemical composition of fine particulate matter (PM2.5) would offer valuable information for epidemiological studies and health impact assessments. We develop geoscience-derived estimates of PM25 composition from a chemical transport model (GEOSChem) and satellite observations of aerosol optical depth, and statistically fuse these estimates with ground-based observations using a geographically weighted regression over North America to produce a spatially complete representation of sulfate, nitrate, ammonium, black carbon, organic matter, mineral dust, and sea salt over 2000-2016. Significant long-term agreement is found with cross-validation sites over North America (R2 = 0.57-0.96), with the strongest agreement for sulfate (R2 = 0.96), nitrate (R2 = 0.90), and ammonium (R2 = 0.86). We find that North American decreases in population-weighted fine particulate matter (PM2.5) concentrations since 2000 have been most heavily influenced by regional changes in sulfate and organic matter. Regionally, the relative importance of several chemical components are found to change with PM25 concentration, such as higher PM2.5 concentrations having a larger proportion of nitrate and a smaller proportion of sulfate. This data set offers information for research into the health effects of PM2., chemical components.
引用
收藏
页码:2595 / 2611
页数:17
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