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中国复杂的城市空气污染:通过地面运行测量得到的更深入了解。

China's Complex Urban Air Pollution: An Improved Understanding with Ground Operational Measurements.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

Integr Environ Assess Manag. 2020 May;16(3):306-313. doi: 10.1002/ieam.4254. Epub 2020 Apr 7.

DOI:10.1002/ieam.4254
PMID:32083376
Abstract

Complex urban air quality has long been assessed by a single (or major) contaminant, for example, fine particulate matter (PM2.5), but scant attention has been given to multicontaminant air pollution, especially in countries with severe air pollution, for example, China. We thus proposed an improved method for quantifying both single- and multicontaminant air pollution. Our approach uses China's major cities as an example because they have an operational national urban air quality monitoring network. We found that our proposed method could remove the duplicated consideration under both single- and multicontaminant conditions, thus proving to be an improved and more accurate way to understand complex urban air pollution conditions. Our method involved monitoring 3 contaminants (PM2.5, PM10, and SO ) in cities in Shanxi, Shandong, Henan, and Hebei Provinces and 2 contaminants (PM2.5 and PM10) in the cities between the Yellow River and the Yangtze River, and these pollutants were the major contributors to multicontaminant air pollution. We argue that both the research community and the government should pay increased attention to multicontaminant air pollution beyond the current single major pollutant-based air pollution method when building a sustainable city. Integr Environ Assess Manag 2020;16:306-313. © 2020 SETAC.

摘要

复杂的城市空气质量长期以来一直采用单一(或主要)污染物进行评估,例如细颗粒物(PM2.5),但对多污染物空气污染关注甚少,尤其是在中国等空气污染严重的国家。因此,我们提出了一种改进的方法来量化单污染物和多污染物空气污染。我们的方法以中国的主要城市为例,因为它们拥有运行国家城市空气质量监测网络。我们发现,我们提出的方法可以去除单污染物和多污染物条件下的重复考虑,因此被证明是一种改进和更准确的方法,可以了解复杂的城市空气污染状况。我们的方法涉及监测山西省、山东省、河南省和河北省的城市中的 3 种污染物(PM2.5、PM10 和 SO2),以及黄河和长江之间的城市中的 2 种污染物(PM2.5 和 PM10),这些污染物是多污染物空气污染的主要贡献者。我们认为,研究界和政府在建设可持续城市时,应该在当前基于单一主要污染物的空气污染方法之外,更加关注多污染物空气污染。《综合环境评估与管理》2020 年;16:306-313。版权所有 2020 SETAC。

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