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网格分辨率对美国臭氧和细颗粒物导致过早死亡负担估计的影响。

The effect of grid resolution on estimates of the burden of ozone and fine particulate matter on premature mortality in the United States.

作者信息

Punger Elizabeth M, West J Jason

机构信息

Department of Environmental Sciences and Engineering, University of North Carolina, CB#7431, Chapel Hill, NC 27599.

出版信息

Air Qual Atmos Health. 2013 Sep;6(3). doi: 10.1007/s11869-013-0197-8.

Abstract

Assessments of human health impacts associated with outdoor air pollution often use air quality models to represent exposure, but involve uncertainties due to coarse model resolution. Here we quantify how estimates of mortality in the United States attributable to ozone (O) and fine particulate matter (PM) at coarse resolution differ from those at finer resolution. Using the finest modeled concentrations (12 km), we estimate that 66,000 (95% CI, 39,300 - 84,500) all-cause and 21,400 (5,600 - 34,200) respiratory deaths per year are attributable to PM and O concentrations above low-concentration thresholds, respectively. Using model results at 36 km resolution gives mortality burdens that are 11% higher for PM and 12% higher for O than the 12 km estimates, suggesting a modest positive bias. We also scale modeled concentrations at 12 km to coarser resolutions by simple averaging, and repeat the mortality assessment at multiple resolutions from 24 to 408 km, including the resolutions of global models; in doing so, we account for the effect of resolution on population exposure. Coarse grid resolutions produce mortality estimates that are substantially biased low for PM (30-40% lower than the 12 km estimate at >250 km resolution), but less than 6% higher for O at any resolution. Mortality estimates for primary PM species show greater bias at coarse resolution than secondary species. These results suggest that coarse resolution global models (>100 km) are likely biased low for PM health effects. For ozone, biases due to coarse resolution may be much smaller, and the effect on modeled chemistry likely dominates.

摘要

对与室外空气污染相关的人类健康影响进行评估时,通常使用空气质量模型来表示暴露情况,但由于模型分辨率粗糙,存在不确定性。在此,我们量化了美国因臭氧(O)和细颗粒物(PM)导致的粗分辨率死亡率估计值与更精细分辨率下的估计值之间的差异。使用模拟的最精细浓度(12公里),我们估计,每年分别有66,000例(95%置信区间,39,300 - 84,500)全因死亡和21,400例(5,600 - 34,200)呼吸道死亡可归因于高于低浓度阈值的PM和O浓度。使用36公里分辨率的模型结果得出的死亡率负担,PM比12公里估计值高11%,O比12公里估计值高12%,表明存在适度的正偏差。我们还通过简单平均将12公里的模拟浓度缩放到更粗糙的分辨率,并在24至408公里的多个分辨率下重复死亡率评估,包括全球模型的分辨率;在此过程中,我们考虑了分辨率对人群暴露的影响。粗网格分辨率得出的死亡率估计值,对于PM存在大幅偏低的偏差(在>250公里分辨率下比12公里估计值低30 - 40%),但对于O在任何分辨率下偏差都小于6%。一次PM物种的死亡率估计在粗分辨率下比二次物种表现出更大的偏差。这些结果表明,粗分辨率全球模型(>100公里)对PM健康影响的估计可能偏低。对于臭氧,粗分辨率导致的偏差可能小得多,且对模拟化学的影响可能占主导。

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