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首页> 外文期刊>Atmospheric environment >Air pollution and early deaths in the United States. Part Ⅱ: Attribution of PM_(2.5) exposure to emissions species, time, location and sector
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Air pollution and early deaths in the United States. Part Ⅱ: Attribution of PM_(2.5) exposure to emissions species, time, location and sector

机译:美国的空气污染和早期死亡。第二部分:PM_(2.5)暴露对排放种类,时间,位置和部门的影响

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摘要

Combustion emissions constitute the largest source of anthropogenic emissions in the US, and lead to the degradation of air quality and human health. In Part I we computed the population fine particulate matter (PM_(2.5)) exposure and number of early deaths caused by emissions from six major sectors: electric power generation, industry, commercial and residential activities, road transportation, marine transportation and rail transportation. In Part Ⅱ we attribute exposure and early deaths to sectors, emissions species, time of emission, and location of emission. We apply a long-term adjoint sensitivity analysis and calculate the four dimensional sensitivities (time and space) of PM_(2.5) exposure with respect to each emissions species. Epidemiological evidence is used to relate increased population exposure to premature mortalities. This is the first regional application of the adjoint sensitivity analysis method to characterize long-term air pollution exposure. (A global scale application has been undertaken related to intercontinental pollution.) We find that for the electric power generation sector 75% of the attributable PM_(2.5) exposure is due to SO_2 emissions, and 80% of the annual impacts are attributed to emissions from April to September. In the road transportation sector, 29% of PM_(2.5) exposure is due to NO_x emissions and 33% is from ammonia (NH_3), which is a result of emissions after-treatment technologies. We estimate that the benefit of reducing NH_3 emissions from road transportation is ~20 times that of NO_x per unit mass. 75% of the road transportation ammonia impacts occur during the months October to March. We publicly release the sensitivity matrices computed, noting their potential use as a rapid air quality policy assessment tool.
机译:燃烧排放物是美国最大的人为排放物来源,并导致空气质量和人类健康恶化。在第一部分中,我们计算了人口主要细颗粒物(PM_(2.5))的暴露量以及由以下六个主要部门的排放所致的早期死亡人数:发电,工业,商业和住宅活动,道路运输,海洋运输和铁路运输。在第二部分中,我们将暴露和早期死亡归因于部门,排放种类,排放时间和排放位置。我们应用了长期伴随敏感性分析,并针对每种排放物计算了PM_(2.5)暴露的三维敏感性(时间和空间)。流行病学证据被用来将增加的人口暴露与过早死亡联系起来。这是伴随敏感性分析方法在长期空气污染暴露中表征的第一个区域应用。 (已经进行了有关洲际污染的全球规模应用。)我们发现,对于发电行业,可归因于PM_(2.5)的75%的暴露是由SO_2排放引起的,每年80%的影响归因于排放从四月到九月。在公路运输部门,PM_(2.5)暴露的29%来自NO_x排放,而33%来自氨(NH_3),这是排放后处理技术的结果。我们估计,减少公路运输中NH_3排放的效益约为每单位质量NO_x的约20倍。 10月至3月的几个月中,有75%的公路运输氨气影响发生。我们公开发布了计算出的敏感度矩阵,并指出它们可能用作快速的空气质量政策评估工具。

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  • 来源
    《Atmospheric environment》 |2014年第12期|610-617|共8页
  • 作者单位

    Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology,77 Massachusetts Avenue, Cambridge, 02139, United States;

    Laboratory for Aviation and the Environment, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology,77 Massachusetts Avenue, Cambridge, 02139, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Adjoint sensitivity analysis; Early deaths; Paniculate matter;

    机译:伴随灵敏度分析;早逝;惊慌的事情;

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