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首页> 外文期刊>Atmospheric chemistry and physics >Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3
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Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3

机译:由AQMEII3框架中的多模型集成计算得出的欧洲和美国空气污染对人类健康影响的评估和经济评估

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The impact of air pollution on human health and the associated external costs in Europe and the United States (US) for the year 2010 are modeled by a multi-model ensemble of regional models in the frame of the third phase of the Air Quality Modelling Evaluation International Initiative (AQMEII3). The modeled surface concentrations of Osub3/sub, CO, SOsub2/sub and PMsub2.5/sub are used as input to the Economic Valuation of Air Pollution (EVA) system to calculate the resulting health impacts and the associated external costs from each individual model. Along with a base case simulation, additional runs were performed introducing 20?% anthropogenic emission reductions both globally and regionally in Europe, North America and east Asia, as defined by the second phase of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP2). Health impacts estimated by using concentration inputs from different chemistry–transport models (CTMs) to the EVA system can vary up to a factor of 3 in Europe (12 models) and the United States (3 models). In Europe, the multi-model mean total number of premature deaths (acute and chronic) is calculated to be 414?000, while in the US, it is estimated to be 160?000, in agreement with previous global and regional studies. The economic valuation of these health impacts is calculated to be EUR?300?billion and 145?billion in Europe and the US, respectively. A subset of models that produce the smallest error compared to the surface observations at each time step against an all-model mean ensemble results in increase of health impacts by up to 30?% in Europe, while in the US, the optimal ensemble mean led to a decrease in the calculated health impacts by ~ 11?%. A total of 54?000 and 27?500 premature deaths can be avoided by a 20?% reduction of global anthropogenic emissions in Europe and the US, respectively. A 20?% reduction of North American anthropogenic emissions avoids a total of ~ 1000 premature deaths in Europe and 25?000 total premature deaths in the US. A 20?% decrease of anthropogenic emissions within the European source region avoids a total of 47?000 premature deaths in Europe. Reducing the east Asian anthropogenic emissions by 20?% avoids ~ 2000 total premature deaths in the US. These results show that the domestic anthropogenic emissions make the largest impacts on premature deaths on a continental scale, while foreign sources make a minor contribution to adverse impacts of air pollution.
机译:空气污染对人类健康的影响以及相关的2010年欧洲和美国的外部成本,是在第三阶段的空气质量建模评估框架内,通过区域模型的多模型集合来建模的国际倡议(AQMEII3)。 O 3 ,CO,SO 2 和PM 2.5 的模型表面浓度被用作空气污染经济评估(EVA)的输入系统计算每个模型产生的健康影响和相关的外部成本。除基本案例模拟外,还进行了额外的运行,从而在欧洲,北美和东亚的全球和区域范围内,将人为排放量减少了20%,这是由“半球大气污染运输特别工作组(TF- HTAP2)。在欧洲(12个模型)和美国(3个模型)中,通过使用来自不同化学传输模型(CTM)到EVA系统的浓度输入所估计的健康影响,差异可能高达3倍。在欧洲,与先前的全球和区域研究一致,计算的多模型平均过早死亡(急性和慢性)总数为414-000,而在美国,估计为160-000。据估计,在欧洲和美国,这些健康影响的经济价值分别为3000亿欧元和1450亿欧元。与全模型平均集合在每个时间步相比表面观察相比,产生最小误差的模型子集在欧洲对健康的影响增加了多达30%,而在美国,最佳集合平均导致了计算出的健康影响降低了约11%。分别将欧洲和美国的全球人为排放量减少20%,可以避免总共54 000和27 500例过早死亡。北美人为排放量减少20%,可以避免在欧洲总共发生约1000例过早死亡,而在美国则可以避免25,000例过早死亡。在欧洲源区域内,人为排放量减少了20%,从而避免了欧洲总计47,000人过早死亡。将东亚人为排放量减少20%,可以避免美国约2000人过早死亡。这些结果表明,在全球范围内,国内人为排放量对过早死亡的影响最大,而外国来源对空气污染的不利影响贡献很小。

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