Spatial and Seasonal Characteristics of Air Pollution Spillover in China

被引:3
作者
Yu, Baocheng [1 ]
Fang, Wei [2 ]
Huang, Shupei [2 ]
Liu, Siyao [2 ]
Qi, Yajie [2 ]
Han, Xiaodan [2 ]
机构
[1] China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R China
[2] China Univ Geosci, Sch Econ & Management, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
air pollution; spillover; complex network; motif; season;
D O I
10.3390/su132112272
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air pollution spillover can cause air pollution to negatively affect neighboring regions. The structure of air pollution spillover varies with changes in season and space. Researching the spatial and seasonal characteristics of air pollution spillover is beneficial for determining air pollution prevention and control policies. First, this paper uses the GARCH-BEKK model to correlate the air pollution spillover among cities. Second, a complex network is constructed, and cities that have stronger spillover correlations are grouped into the same region. Finally, motifs are analyzed regarding the spillover relationships among regions. This paper also compares the structure of air pollution spillover during various seasons. This study determines that every season has a core region where the air pollution spillover exits the region. The core region in the spring is western East China, in the summer it is northern East China, in the autumn it is northern East China, and in the winter it is northern North China. These regions interact with most other regions. Furthermore, in spring and winter, the phenomena of air pollution spillover between regions are stronger than those in summer and autumn. We can weaken the air pollution spillover by controlling the air pollution in core regions.
引用
收藏
页数:14
相关论文
共 43 条
[31]   Modeling Air Pollution Transmission Behavior as Complex Network and Mining Key Monitoring Station [J].
Song, Chen ;
Huang, Guoyan ;
Zhang, Bing ;
Yin, Bo ;
Lu, Huifang .
IEEE ACCESS, 2019, 7 :121245-121254
[32]  
Sun C., 2018, ENVIRON PROT ENG, V44, P27
[33]   Spatial distribution of wintertime air pollution in major cities over eastern China: Relationship with the evolution of trough, ridge and synoptic system over East Asia [J].
Wang, Jiaqi ;
Qu, Wenjun ;
Li, Chun ;
Zhao, Chuanhu ;
Zhong, Xiang .
ATMOSPHERIC RESEARCH, 2018, 212 :186-201
[34]   Collective dynamics of 'small-world' networks [J].
Watts, DJ ;
Strogatz, SH .
NATURE, 1998, 393 (6684) :440-442
[35]   Will joint regional air pollution control be more cost-effective? An empirical study of China's Beijing-Tianjin-Hebei region [J].
Wu, Dan ;
Xu, Yuan ;
Zhang, Shiqiu .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2015, 149 :27-36
[36]   Air Quality Time Series Based GARCH Model Analyses of Air Quality Information for a Total Quantity Control District [J].
Wu, Edward Ming-Yang ;
Kuo, Shu-Lung .
AEROSOL AND AIR QUALITY RESEARCH, 2012, 12 (03) :331-343
[37]   How does China's air pollution influence its labor wage distortions? Theoretical and empirical analysis from the perspective of spatial spillover effects [J].
Yang, Jun ;
Xu, Lan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 745
[38]   Study on Detection of Environmental Air Pollution by Differential Optical Absorption Spectrometry [J].
Yu, Yi Zhong ;
Zhou, Xiao Yu .
PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-4, 2013, 610-613 :1199-+
[39]   Exposure to high levels of PM2.5 and PM10 in the metropolis of Tehran and the associated health risks during 2016-2017 [J].
Yunesian, Masud ;
Rostami, Roohollah ;
Zarei, Ahmad ;
Fazlzadeh, Mehdi ;
Janjani, Hosna .
MICROCHEMICAL JOURNAL, 2019, 150
[40]   Spatiotemporal trends in PM2.5 levels from 2013 to 2017 and regional demarcations for joint prevention and control of atmospheric pollution in China [J].
Zhang, Nan-Nan ;
Ma, Fang ;
Qin, Chang-Bo ;
Li, Yi-Fan .
CHEMOSPHERE, 2018, 210 :1176-1184