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Using atmospheric models to estimate global air pollution mortality.

机译:使用大气模型估算全球空气污染死亡率。

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摘要

Ground-level ozone and fine particulate matter (PM2.5) are associated with premature mortality and can influence air quality on global scales. This work examines the global health impacts of ozone and PM 2.5 using concentrations simulated by global chemical transport models (CTMs), which allow full spatial coverage and analysis of hypothetical changes in emissions. Here, previous methods using global models are improved by using cause-specific and country-specific baseline mortality rates, and by using area-weighted average rates where gridcells overlap multiple countries.;Using these methods, we estimate 0.7 +/- 0.3 and 3.7 +/- 1.0 million global premature deaths annually due to anthropogenic ozone and PM 2.5, found as the difference between simulations with and without anthropogenic emissions. PM2.5 mortality estimates are ∼50% higher than previous measurement-based estimates based on common assumptions, mainly because rural populations are included, suggesting higher estimates, although the coarsely resolved global atmospheric model may underestimate urban PM 2.5 exposures. Estimating the mortality impacts of intercontinental transport of ozone shows that for North America, East Asia, South Asia, and Europe, foreign ozone precursor emission reductions contribute ∼30%, 30%, 20%, and >50% of the deaths avoided by reducing emissions in all regions together. For North America and Europe, reducing precursor emissions avoids more deaths outside the source region than within, due mainly to larger foreign populations. Finally, using the MOZART-4 global CTM, we estimate that halving global anthropogenic black carbon (BC) emissions reduces population-weighted average PM2.5 by 542 ng/m3 (1.8%) and avoids 157,000 (95% confidence interval, 120,000--194,000) annual premature deaths globally, with the vast majority occurring within the source region. Over 80% of these deaths occur in Asia, with 50% greater mortality impacts per unit BC emitted for South Asian versus East Asian emissions. Globally, the contribution of residential, industrial, and transportation BC emissions to BC-related mortality is 1.3, 1.2, and 0.6 times each sector's contribution to anthropogenic BC emissions, owing to the degree of co-location with population.;Future research should improve upon the many sources of uncertainty, incorporate shifting demographics, and examine the health impacts of realistic emission control technologies, which would affect emissions of multiple species simultaneously.
机译:地面臭氧和细颗粒物(PM2.5)与过早死亡相关,并可能在全球范围内影响空气质量。这项工作使用由全球化学传输模型(CTM)模拟的浓度来检验臭氧和PM 2.5对全球健康的影响,该浓度可以全面覆盖空间并分析假设的排放变化。在这里,以前使用全局模型的方法通过使用因特定原因和特定国家的基线死亡率以及网格单元重叠多个国家的区域加权平均死亡率而得到了改进;使用这些方法,我们估计为0.7 +/- 0.3和3.7由于存在和不存在人为排放的模拟之间的差异,每年因人为臭氧和PM 2.5造成的全球过早死亡+/- 100万。 PM2.5死亡率估计比以前基于共同假设的基于测量的估计高约50%,主要是因为包括农村人口,这表明估计值更高,尽管粗略解析的全球大气模型可能低估了城市PM 2.5的暴露。估算洲际运输臭氧对死亡率的影响表明,对于北美,东亚,南亚和欧洲,减少臭氧所致死亡可减少约30%,30%,20%和> 50%的外国臭氧前体排放量所有地区的排放量加在一起对于北美和欧洲,减少前驱物排放可避免源区域外的死亡人数多于内部区域的死亡人数,主要原因是外国人口增加。最后,我们使用MOZART-4全球CTM估算,将全球人为黑碳(BC)排放量减少一半,可使人口加权平均PM2.5降低542 ng / m3(1.8%),并避免157,000(95%置信区间,120,000- -194,000)在全球范围内每年过早死亡,其中绝大多数发生在来源地区。这些死亡中超过80%发生在亚洲,而南亚和东亚的每单位BC排放所造成的死亡影响增加了50%。在全球范围内,由于与人口共居的程度,住宅,工业和交通运输中的BC排放量对与BC相关的死亡率的贡献是每个部门对人为BC排放贡献的1.3倍,1.2倍和0.6倍。基于不确定性的多种来源,结合不断变化的人口统计数据,并研究现实的排放控制技术对健康的影响,这将同时影响多种物种的排放。

著录项

  • 作者

    Anenberg, Susan Casper.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Atmospheric Sciences.;Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 197 p.
  • 总页数 197
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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