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快速发展的城市群中的空气污染的控制模型和时空特征。

Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations.

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Int J Environ Res Public Health. 2021 Jun 7;18(11):6177. doi: 10.3390/ijerph18116177.

DOI:10.3390/ijerph18116177
PMID:34200515
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8201052/
Abstract

This paper systematically summarizes the hierarchical cross-regional multi-directional linkage in terms of air pollution control models implemented in the Beijing-Tianjin-Hebei urban agglomeration, including the hierarchical linkage structure of national-urban agglomeration-city, the cross-regional linkage governance of multiple provinces and municipalities, the multi-directional linkage mechanism mainly involving industry access, energy structure, green transportation, cross-regional assistance, monitoring and warning, consultation, and accountability. The concentration data of six air pollutants were used to analyze spatiotemporal characteristics. The concentrations of SO, NO, PM, PM, CO decreased, and the concentration of O increased from 2014 to 2017; the air pollution control has achieved good effect. The concentration of O was the highest in summer and lowest in winter, while those of other pollutants were the highest in winter and lowest in summer. The high pollution ranges of O diffused from south to north, and those of other pollutants decreased significantly from north to south. Finally, we suggest strengthening the traceability and process research of heavy pollution, increasing the traceability and process research of O pollution, promoting the joint legislation of different regions in urban agglomeration, create innovative pollution discharge supervision mechanisms, in order to provide significant reference for the joint prevention and control of air pollution in urban agglomerations.

摘要

本文系统总结了京津冀城市群实施的空气污染控制模式中的分层跨区域多向联动,包括国家-城市群-城市的分层联动结构、多省市的跨区域联动治理、主要涉及产业准入、能源结构、绿色交通、跨区域援助、监测预警、协商和问责的多向联动机制。利用六种空气污染物的浓度数据分析了时空特征。SO、NO、PM、PM、CO 的浓度降低,而 O 的浓度从 2014 年到 2017 年增加;空气污染控制取得了良好的效果。O 的浓度在夏季最高,冬季最低,而其他污染物的浓度在冬季最高,夏季最低。O 的高污染范围从南向北扩散,而其他污染物的污染范围则从北向南显著减少。最后,建议加强重污染的溯源和过程研究,加大对 O 污染的溯源和过程研究,促进城市群不同地区的联合立法,建立创新的污染排放监管机制,为城市群的空气污染联合防治提供重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/245e394dc7af/ijerph-18-06177-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/cdd0a4adc5b5/ijerph-18-06177-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/9c4bd3599d98/ijerph-18-06177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/e90f2b74581d/ijerph-18-06177-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/19fd3c51469e/ijerph-18-06177-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/1e7cc1db5a12/ijerph-18-06177-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/245e394dc7af/ijerph-18-06177-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/cdd0a4adc5b5/ijerph-18-06177-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/9c4bd3599d98/ijerph-18-06177-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/e90f2b74581d/ijerph-18-06177-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/19fd3c51469e/ijerph-18-06177-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/1e7cc1db5a12/ijerph-18-06177-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d7/8201052/245e394dc7af/ijerph-18-06177-g006.jpg

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Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018.德国的空气污染:基于 2008 年至 2018 年连续数据的时空变化及其驱动因素。
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Air Quality and Environmental Injustice in India: Connecting Particulate Pollution to Social Disadvantages.
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Combined effects of increased O and reduced NO concentrations on short-term air pollution health risks in Hong Kong.增加 O 和减少 NO 浓度对香港短期空气污染健康风险的综合影响。
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Short-Term Effects of Atmospheric Pollution on Daily Mortality and Their Modification by Increased Temperatures Associated with a Climatic Change Scenario in Northern Mexico.墨西哥北部大气污染对每日死亡率的短期影响及其对气候变化情景下气温升高的修正。
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