Spatiotemporal Variations and Driving Factors of Air Pollution in China

doi:10.3390/ijerph14121538

	Spatiotemporal Variations and Driving Factors of Air Pollution in China
	Zhan, Dongsheng 1,2; Kwan, Mei-Po 3,4; Zhang, Wenzhong 1,2; Wang, Shaojian 5; Yu, Jianhui 1,2
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2017-12-01
卷号	14 期号:12 页码:18
关键词	air pollution spatiotemporal variations driving factors geographical detector China
ISSN号	1660-4601
DOI	10.3390/ijerph14121538
通讯作者	Zhang, Wenzhong(zhangwz@igsnrr.ac.cn)
英文摘要	In recent years, severe and persistent air pollution episodes in China have drawn wide public concern. Based on ground monitoring air quality data collected in 2015 in Chinese cities above the prefectural level, this study identifies the spatiotemporal variations of air pollution and its associated driving factors in China using descriptive statistics and geographical detector methods. The results show that the average air pollution ratio and continuous air pollution ratio across Chinese cities in 2015 were 23.1 +/- 16.9% and 16.2 +/- 14.8%. The highest levels of air pollution ratio and continuous air pollution ratio were observed in northern China, especially in the Bohai Rim region and Xinjiang province, and the lowest levels were found in southern China. The average and maximum levels of continuous air pollution show distinct spatial variations when compared with those of the continuous air pollution ratio. Monthly changes in both air pollution ratio and continuous air pollution ratio have a U-shaped variation, indicating that the highest levels of air pollution occurred in winter and the lowest levels happened in summer. The results of the geographical detector model further reveal that the effect intensity of natural factors on the spatial disparity of the air pollution ratio is greater than that of human-related factors. Specifically, among natural factors, the annual average temperature, land relief, and relative humidity have the greatest and most significant negative effects on the air pollution ratio, whereas human factors such as population density, the number of vehicles, and Gross Domestic Product (GDP) witness the strongest and most significant positive effects on air pollution ratio.
资助项目	National Natural Science Foundation of China[41230632] ; National Natural Science Foundation of China[41529101] ; University of Chinese Academy of Sciences (UCAS) ; John Simon Guggenheim Memorial Foundation Fellowship
WOS关键词	FINE PARTICULATE MATTER ; SPATIAL-TEMPORAL CHARACTERISTICS ; METEOROLOGICAL FACTORS ; HAZE EVENTS ; PM2.5 ; CITIES ; EXPOSURE ; IMPACT ; REGION ; QUALITY
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000423699400101
资助机构	National Natural Science Foundation of China ; University of Chinese Academy of Sciences (UCAS) ; John Simon Guggenheim Memorial Foundation Fellowship
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/56941]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Wenzhong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Illinois, Dept Geog & Geog Informat Sci, Urbana, IL 61801 USA 4.Univ Utrecht, Dept Human Geog & Spatial Planning, POB 80125, NL-3508 TC Utrecht, Netherlands 5.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Zhan, Dongsheng,Kwan, Mei-Po,Zhang, Wenzhong,et al. Spatiotemporal Variations and Driving Factors of Air Pollution in China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2017,14(12):18.
APA	Zhan, Dongsheng,Kwan, Mei-Po,Zhang, Wenzhong,Wang, Shaojian,&Yu, Jianhui.(2017).Spatiotemporal Variations and Driving Factors of Air Pollution in China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,14(12),18.
MLA	Zhan, Dongsheng,et al."Spatiotemporal Variations and Driving Factors of Air Pollution in China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 14.12(2017):18.