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Variation in estimated ozone-related health impacts of climate change due to modeling choices and assumptions

机译:由于模型的选择和假设,气候变化对臭氧相关的健康影响的估计变化

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Background: Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices. Objectives: Our goal was to assess the sensitivity of estimated ozone-related human health impacts of climate change to key modeling choices. Methods: Our analysis included seven modeling systems in which a climate change model is linked to an air quality model, five population projections, and multiple concentration-response functions. Using the U.S. Environmental Protection Agency's (EPA's) Environmental Benefits Mapping and Analysis Program (BenMAP), we estimated future ozone (O3)-related health effects in the United States attributable to simulated climate change between the years 2000 and approximately 2050, given each combination of modeling choices. Health effects and concentration-response functions were chosen to match those used in the U.S. EPA's 2008 Regulatory Impact Analysis of the National Ambient Air Quality Standards for O 3. Results: Different combinations of methodological choices produced a range of estimates of national O 3-related mortality from roughly 600 deaths avoided as a result of climate change to 2,500 deaths attributable to climate change (although the large majority produced increases in mortality). The choice of the climate change and the air quality model reflected the greatest source of uncertainty, with the other modeling choices having lesser but still substantial effects. C onclusions: Our results highlight the need to use an ensemble approach, instead of relying on any one set of modeling choices, to assess the potential risks associated with O 3-related human health effects resulting from climate change.
机译:背景:未来的气候变化可能会由于气候引起的气象,大气化学和大气排放变化而导致空气质量下降。很少有研究明确地模拟气候变化,空气质量和人类健康之间的潜在关系,很少有研究调查估计值对基本模型选择的敏感性。目标:我们的目标是评估气候变化对臭氧相关的人类健康影响的估计对关键模型选择的敏感性。方法:我们的分析包括七个建模系统,其中气候变化模型与空气质量模型相关联,五个人口预测和多个浓度响应函数。使用美国环境保护署(EPA)的环境效益图和分析计划(BenMAP),我们估计了美国和美国在2000年至2050年间模拟气候变化可归因于与臭氧(O3)相关的健康影响,每种组合建模选择。选择的健康影响和浓度响应函数与美国EPA 2008年针对O 3的国家环境空气质量标准的法规影响分析中使用的结果相匹配。结果:方法选择的不同组合产生了一系列与国家O 3相关的估计从避免因气候变化而导致的约600例死亡到因气候变化而导致的2500例死亡(尽管绝大多数导致死亡率增加)。气候变化和空气质量模型的选择反映了最大的不确定性来源,其他模型选择的影响较小,但仍具有实质性影响。结论:我们的结果强调需要使用整体方法,而不是依靠任何一组建模选择来评估与气候变化导致的与O 3相关的人类健康影响相关的潜在风险。

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