Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors
Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors
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DOI：
10.1021/acs.est.8b06392
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发表时间：
2019-03-05
影响因子：
11.4
通讯作者：
Burnett, Richard T.
中科院分区：
文献类型：
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作者：
van Donkelaar, Aaron;Martin, Randall V.;Burnett, Richard T.
精确的细颗粒物(PM2.5)化学成分的精细分辨率表面将为流行病学研究和健康影响评估提供有价值的信息。我们从化学输送模式(GEOSChem)和气溶胶光学厚度的卫星观测中得出对PM25组成的地球科学估计，并使用北美上空的地理加权回归将这些估计与地面观测进行统计融合，以产生2000-2016年间硫酸盐、硝酸盐、氨氮、黑碳、有机物、矿物粉尘和海盐的完整空间表示。与北美地区的交叉验证站点存在显著的长期一致性(R2=0.57-0.96)，其中硫酸盐(R2=0.96)、硝酸盐(R2=0.90)和铵(R2=0.86)的一致性最强。我们发现，自2000年以来，北美人口加权细颗粒物(PM2.5)浓度的下降受到硫酸盐和有机物区域变化的影响最大。在区域范围内，发现几种化学成分的相对重要性随着PM25浓度的变化而变化，例如PM2.5浓度越高，硝酸盐所占比例越大，硫酸盐所占比例越小。该数据集为研究PM2化学成分对健康的影响提供了信息。
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.