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Premature mortalities attributable to ozone and fine particulate exposure: The effect of grid size on health burden estimates in the United States.

机译:可归因于臭氧和细小颗粒物暴露的过早死亡:在美国,网格大小对健康负担估算的影响。

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摘要

We quantify how estimates of mortality in the United States attributable to ozone (O3) and fine particulate matter (PM 2.5) driven with modeled concentrations at coarse resolution differ from those at finer resolution. Modeled concentrations of O3 and PM2.5 were used to estimate mortalities at 12 km and coarser resolutions greater than that of global models. We estimate that 66,000 (95% CI, 44,700 -- 86,500) and 21,400 (5,600 -- 34,200) mortalities per year are attributable to PM2.5 and O3 concentrations above low-concentration thresholds, respectively. Coarse grid resolutions produce mortality estimates that are substantially biased low for PM2.5 (38% lower than the best estimate at >300 km resolution), but only 5% higher for O3 (at >96 km resolution). Mortality estimates for primary PM2.5 species were more affected by grid resolution than for secondary species. These results suggest that using coarse resolution global models (>100 km) are likely biased low for PM2.5, but with little error for ozone.
机译:我们量化了在粗分辨率下以建模浓度驱动的美国可归因于臭氧(O3)和细颗粒物(PM 2.5)的死亡率估算与在较高分辨率下的估算值之间的差异。使用模型化的O3和PM2.5浓度估算12 km处的死亡率,并且比全球模型的分辨率更高。我们估计每年分别有66,000(95%CI,44,700-86,500)和21,400(5,600-34,200)死亡率是由于PM2.5和O3浓度高于低浓度阈值引起的。粗网格分辨率产生的死亡率估计值对于PM2.5而言​​基本上偏低(比> 300 km分辨率下的最佳估计值低38%),但对于O3(> 96 km分辨率下)仅高5%。网格分辨率对主要PM2.5物种的死亡率估计值的影响比次要物种更严重。这些结果表明,使用粗分辨率的全局模型(> 100 km)对于PM2.5可能偏低,但对臭氧的误差很小。

著录项

  • 作者

    Blayney, Elizabeth M.;

  • 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 Environmental Health.;Atmospheric Sciences.;Health Sciences Public Health.
  • 学位 M.S.
  • 年度 2012
  • 页码 37 p.
  • 总页数 37
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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