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Impacts on the Urban Air Quality and Health of Global Climate Scenarios Using Different Dynamical Downscaling Approaches

机译:使用不同的动态降尺度方法对全球气候情景中城市空气质量和健康的影响

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The objective of this publication is topresent a modeling system that allows investigating the possible climatechange-driven effects of air pollutants on human health. The system connectsglobal climate change to ambient air pollution concentrations that then arelinked to epidemiological endpoints. The tool has been applied to quantify thefuture (2030, 2050 and 2100) impact on air pollution and health of two of theIPCC global climate scenarios over the cities: Madrid, Milan and London (zoneKensington-Chelsea) with different very high spatial resolutions (100, 200 and10 meters) respect to the present (2011). Results indicate how ambient airpollutant concentrations respond to different climatic conditions, and howhuman health could be affected by changes in air pollution induced by globalwarning. The system includes global climate simulations, nested withregional/urban meteorological models (prognostic and diagnostic) to drivechemical transport models (offline and online modes) and a computational fluiddynamic model keeping anthropogenic emissions and the urban landscape atreference level (2011) to isolate the effects of the global climate over thecity. The results of these simulations suggest that climate will have animportant effect on urban air pollution and health over the next severaldecades, especially under the IPCC RCP 8.5 scenario.
机译:该出版物的目的是提出一种建模系统,该系统可以研究气候变化驱动的空气污染物对人类健康的可能影响。该系统将全球气候变化与环境空气污染浓度联系起来,然后将其与流行病学终点联系起来。该工具已用于量化未来(2030年,2050年和2100年)对IPCC的两种全球气候情景在城市中的大气污染和健康的影响:马德里,米兰和伦敦(肯辛顿-切尔西区),具有非常高的空间分辨率(100) ,距离现在(2011年)200米和10米)。结果表明,周围空气污染物浓度如何响应不同的气候条件,以及全球警告引起的空气污染变化如何影响人类健康。该系统包括全球气候模拟,嵌套的区域/城市气象模型(预测和诊断)以驱动化学物质运输模型(离线和在线模式)以及计算性流体动力学模型,使人为排放和城市景观保持在参考水平(2011年),以隔离人类活动的影响。城市上空的全球气候。这些模拟结果表明,气候将在接下来的几十年中对城市空气污染和健康产生重要影响,尤其是在IPCC RCP 8.5情景下。

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