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The Importance of Exposure in Addressing Current and Emerging Air Quality Issues

机译:曝光在解决当前和新出现的空气质量问题中的重要性

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The air quality issues that we face today and will face in the future are becoming increasingly more complex and require an improved understanding of human exposure to be effectively addressed. The objectives of this paper are (1) to discuss how concepts of human exposure and exposure science and should be applied to improve air quality management practices, and (2) to show how air quality modeling tools can be used to improve exposures estimates used for understanding associations between air quality and human health. Data from a large human exposure monitoring study is presented to demonstrate the value of exposure in understanding important air quality issues, such as health effects associated with exposure to components of particulate matter (PM), to PM of different size fractions (coarse and ultrafine), and to air pollution in near roadway environments. Various approaches for improving estimates of exposure via application of air quality modeling are discussed and results from example modeling applications are presented. These air quality modeling approaches include: the integration of regional scale eulerian air quality models with local scale gaussian dispersion models; the fusion of modeled estimates with air quality observations; the integration of air quality and human exposure modeling tools; and the use of exposure factors, such as housing ventilation, to adjust modeled estimates of ambient air quality.
机译:我们今天面临的空气质量问题,将来会面临未来变得越来越复杂,需要改善对人体暴露的理解得到有效解决。本文的目标是(1)讨论人体暴露和曝光科学的概念如何,应适用于改善空气质量管理实践,(2)以展示空气质量建模工具如何用于改善用于改善所用估算的曝光估计了解空气质量与人类健康之间的协会。提出了大型人体暴露监测研究的数据,以证明在理解重要的空气质量问题方面的曝光价值,例如与暴露于颗粒物质(PM)组分的健康效果,对不同尺寸分数(粗略和超细) ,以及靠近道路环境的空气污染。讨论了通过应用空气质量建模改善曝光估计的各种方法,并提出了示例建模应用。这些空气质量建模方法包括:利用局部规模高斯分散模型集成区域级欧拉空气质量模型的集成;空气质量观测模型估计的融合;空气质量和人体曝光建模工具的整合;并且使用曝光因素,如容纳通风,调整环境空气质量的建模估计。

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