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2017 - 2021年中国东部地区O、NO和CO的空间聚类及溢出路径分析

Spatial clustering and spillover pathways analysis of O, NO, and CO in eastern China during 2017-2021.

作者信息

Qi Haoyun, Duan Wenjiao, Cheng Shuiyuan, Huang Zijian, Hou Xiaosong

机构信息

Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.

Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.

出版信息

Sci Total Environ. 2023 Dec 15;904:166814. doi: 10.1016/j.scitotenv.2023.166814. Epub 2023 Sep 4.

Abstract

The eastern China presented the most serious O pollution and increasingly prominent regional characteristics. To understand the transport characteristics of O and its precursors and identify their potential relationships are of great guiding significance for interregional joint prevention and control. In this study, the annual and seasonal transport networks of O and its precursors (NO and CO) during 2017-2021 were constructed by applying the complex network method to air quality observations. And the key spatial clusters, the spillover paths and the potential links among pollutants were comprehensively analyzed based on the topological characteristic analysis of the established air pollutant transport networks. As the results showed, O pollution in the eastern China was affected by active regional transports of O and its precursors. Regional transports of O, NO, and CO were more prominent in autumn and showed high synchronization. The regional transport of precursors, especially NO, was an important cause of regional O pollution. Air pollutant transport characteristics varied with seasons and regions, which demonstrating the importance of regulating seasonal and regional differentiated joint prevention and control strategies, especially for NO. The results of this study can provide science-based guidance for the regional cooperative control of O pollution in the eastern China, and the application of complex networks can also provide a new methodological perspective for the study of air pollution transmission.

摘要

中国东部地区臭氧污染最为严重,区域特征日益凸显。了解臭氧及其前体物的传输特征并确定它们之间的潜在关系,对于区域间联合防治具有重要的指导意义。本研究应用复杂网络方法对空气质量观测数据进行分析,构建了2017—2021年臭氧及其前体物(一氧化氮和一氧化碳)的年际和季节传输网络。基于所建立的大气污染物传输网络的拓扑特征分析,综合分析了关键空间聚集区、溢出路径以及污染物之间的潜在联系。结果表明,中国东部地区的臭氧污染受到臭氧及其前体物活跃的区域传输影响。臭氧、一氧化氮和一氧化碳的区域传输在秋季更为突出,且呈现出高度同步性。前体物尤其是一氧化氮的区域传输是区域臭氧污染的重要成因。大气污染物传输特征随季节和地区而异,这表明制定季节性和区域差异化的联合防治策略具有重要意义,尤其是针对一氧化氮。本研究结果可为中国东部地区臭氧污染的区域协同控制提供科学依据,复杂网络的应用也可为空气污染传输研究提供新的方法视角。

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