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首页> 外文期刊>Environmental Science & Technology >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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Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

机译：利用地球科学-统计方法结合卫星，模型和监测器的信息，对细颗粒物的化学成分进行区域估算

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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.
机译：细颗粒物化学成分（PM2.5）的精确高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。我们通过化学传输模型（GEOSChem）和气溶胶光学深度的卫星观测结果，开发了地球科学得出的PM25组成的估算值，并使用北美地区的地理加权回归在统计学上将这些估算值与地面观测值融合在一起，从而得出了2000-2016年期间的硫酸盐，硝酸盐，铵，黑碳，有机物，矿物粉尘和海盐。在北美的交叉验证站点上发现了显着的长期协议（R2 = 0.57-0.96），其中硫酸盐（R2 = 0.96），硝酸盐（R2 = 0.90）和铵（R2 = 0.86）的一致性最高。我们发现，自2000年以来，北美人口加权细颗粒物（PM2.5）浓度的下降受硫酸盐和有机物区域变化的影响最大。从区域来看，发现某些化学成分的相对重要性随PM25浓度而变化，例如较高的PM2.5浓度具有较大的硝酸盐比例和较小的硫酸盐比例。该数据集为研究PM2化学成分的健康影响提供了信息。

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  • 来源
    《Environmental Science & Technology》 |2019年第5期|2595-2611|共17页
  • 作者

    van Donkelaar Aaron; Martin Randall V.; Li Chi; Burnett Richard T.;

  • 作者单位

    Dalhousie Univ, Dept Phys & Atmospher Sci, 6300 Coburg Rd, Halifax, NS B3H 3J5, Canada;

    Dalhousie Univ, Dept Phys & Atmospher Sci, 6300 Coburg Rd, Halifax, NS B3H 3J5, Canada;

    Dalhousie Univ, Dept Phys & Atmospher Sci, 6300 Coburg Rd, Halifax, NS B3H 3J5, Canada;

    Dalhousie Univ, Dept Phys & Atmospher Sci, 6300 Coburg Rd, Halifax, NS B3H 3J5, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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