Quantification of Global Primary Emissions of PM2.5, PM10, and TSP from Combustion and Industrial Process Sources

Quantification of Global Primary Emissions of PM2.5, PM10, and TSP from Combustion and Industrial Process Sources
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燃烧和工业过程来源的 PM2.5、PM10 和 TSP 全球一次排放的量化

DOI:
10.1021/es503696k
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发表时间:
2014-12-02
影响因子:
11.4
通讯作者:
Tao, Shu
Tao, Shu
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Huang, Ye;Shen, Huizhong;Tao, Shu

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初级颗粒物(PM)的排放量化对于评估其相关的气候和健康影响至关重要。为了减少与PM2.5、PM10和TSP全球排放相关的不确定性,我们基于新发布的全球燃料数据产品(PKU-FUEL-2007)和排放因子数据库,编制了2007年高空间(0.1度x 0.1度)和部门(77个主要来源)分辨率的数据。我们对发展中国家的估计比以前报告的要高。可以通过使用次国家燃料消耗数据来减少与大国有关的空间偏差。此外,我们以国家尺度的分辨率研究了1960年至2009年的时间趋势。虽然发展中国家的总排放量仍在增加,但按国内生产总值或能源消费计算的排放强度已经下降。由于非工业来源和使用减排技术的贡献较大,发达国家排放的颗粒物更细。相比之下,像中国这样的国家,工业排放量大,减排设施有限,排放的PM更粗。由于源和受体的协方差,PM对健康的影响在热点地区和城市加剧。虽然城市化减少了人均排放,但由于聚集效应,与这些排放有关的总体健康影响加剧。
Emission quantification of primary particulate matter (PM) is essential for assessment of its related climate and health impacts. To reduce uncertainty associated with global emissions of PM2.5, PM10, and TSP, we compiled data with high spatial (0.1 degrees x 0.1 degrees) and sectorial (77 primary sources) resolutions for 2007 based on a newly released global fuel data product (PKU-FUEL-2007) and an emission factor database. Our estimates for developing countries are higher than those previously reported. Spatial bias associated with large countries could be reduced by using subnational fuel consumption data. Additionally, we looked at temporal trends from 1960 to 2009 at country-scale resolution. Although total emissions are still increasing in developing countries, their intensities in terms of gross domestic production or energy consumption have decreased. PM emitted in developed countries is finer owing to a larger contribution from nonindustrial sources and use of abatement technologies. In contrast, countries like China, with strong industry emissions and limited abatement facilities, emit coarser PM. The health impacts of PM are intensified in hotspots and cities owing to covariance of sources and receptors. Although urbanization reduces the per person emission, overall health impacts related to these emissions are heightened because of aggregation effects.