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全球和区域人口加权细颗粒物估计 25 年来的化学成分趋势。

Trends in Chemical Composition of Global and Regional Population-Weighted Fine Particulate Matter Estimated for 25 Years.

机构信息

Department of Physics and Atmospheric Science, Dalhousie University , Halifax, Nova Scotia B3H 4R2, Canada.

Harvard-Smithsonian Center for Astrophysics , Cambridge, Massachusetts 02138, United States.

出版信息

Environ Sci Technol. 2017 Oct 3;51(19):11185-11195. doi: 10.1021/acs.est.7b02530. Epub 2017 Sep 21.

DOI:10.1021/acs.est.7b02530
PMID:28891283
Abstract

We interpret in situ and satellite observations with a chemical transport model (GEOS-Chem, downscaled to 0.1° × 0.1°) to understand global trends in population-weighted mean chemical composition of fine particulate matter (PM). Trends in observed and simulated population-weighted mean PM composition over 1989-2013 are highly consistent for PM (-2.4 vs -2.4%/yr), secondary inorganic aerosols (-4.3 vs -4.1%/yr), organic aerosols (OA, -3.6 vs -3.0%/yr) and black carbon (-4.3 vs -3.9%/yr) over North America, as well as for sulfate (-4.7 vs -5.8%/yr) over Europe. Simulated trends over 1998-2013 also have overlapping 95% confidence intervals with satellite-derived trends in population-weighted mean PM for 20 of 21 global regions. Over 1989-2013, most (79%) of the simulated increase in global population-weighted mean PM of 0.28 μg myr is explained by significantly (p < 0.05) increasing OA (0.10 μg myr), nitrate (0.05 μg myr), sulfate (0.04 μg myr), and ammonium (0.03 μg myr). These four components predominantly drive trends in population-weighted mean PM over populous regions of South Asia (0.94 μg myr), East Asia (0.66 μg myr), Western Europe (-0.47 μg myr), and North America (-0.32 μg myr). Trends in area-weighted mean and population-weighted mean PM composition differ significantly.

摘要

我们通过一个化学输送模型(GEOS-Chem,下采样至 0.1°×0.1°)来解释原位和卫星观测结果,以了解细颗粒物(PM)的人群加权平均化学成分的全球趋势。1989-2013 年期间,观测到的和模拟的人群加权平均 PM 组成的趋势在北美地区的 PM(-2.4%/年)、二次无机气溶胶(-4.3%/年)、有机气溶胶(OA,-3.6%/年)和黑碳(-4.3%/年)方面非常一致,以及欧洲的硫酸盐(-4.7%/年)。在 1998-2013 年期间模拟的趋势也与 21 个全球区域中 20 个区域的人群加权平均 PM 的卫星衍生趋势有重叠的 95%置信区间。在 1989-2013 年期间,全球人群加权平均 PM 增加 0.28 μg myr,其中 79%可归因于 OA(0.10 μg myr)、硝酸盐(0.05 μg myr)、硫酸盐(0.04 μg myr)和铵盐(0.03 μg myr)显著增加(p < 0.05)。这四个成分主要驱动了南亚人口稠密地区(0.94 μg myr)、东亚(0.66 μg myr)、西欧(-0.47 μg myr)和北美(-0.32 μg myr)的人群加权平均 PM 趋势。面积加权平均和人群加权平均 PM 组成的趋势有显著差异。

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