Spatial Correlation between Traffic and Air Pollution in Beijing

doi:10.1080/00330124.2019.1595060

	Spatial Correlation between Traffic and Air Pollution in Beijing
	Jiang, Lili 1; Sun, Ziheng 2; Qi, Qingwen 1; Zhang, An 1
刊名	PROFESSIONAL GEOGRAPHER
	2019-10-02
卷号	71 期号:4 页码:654-667
关键词	Beijing geospatial statistics PM2.5 spatial correlation traffic-related air pollution
ISSN号	0033-0124
DOI	10.1080/00330124.2019.1595060
通讯作者	Jiang, Lili(jiangll@igsnrr.ac.cn)
英文摘要	Many studies have attempted to model the sophisticated influence of traffic emissions on air pollution, but most models only calculate the contribution of traffic emissions near monitoring sites. It is difficult to observe the near-surface dynamics such as wind, rain, and human activities and precisely distinguish traffic emissions. These obstacles make model simulation very expensive in practice. The regional distribution patterns that can help adjust policies and actions taken remain unknown. Therefore, this article proposes a grid-oriented geostatistics-based approach to overcome these obstacles. We chose central Beijing as the study area. An experiment implemented the approach on data collected from Global Positioning System navigation software, car rental companies, and meteorology stations. The results suggest that the northwest area of Beijing has high traffic-related air pollution (TRAP) and the southeast area has low TRAP. Unlike modeling-based methods, this work uses geostatistical methods to directly study the spatiotemporal connections between traffic and PM2.5 (particulate matter with diameter less than 2.5 mu m) from the phenomenon. The calculation is conducted under no hypotheses and has little risk of producing results contradictory to facts. This work provides a reference for future TRAP research on directly learning from the phenomenon and assists decision makers with seamless spatiotemporal heat maps of TRAP distribution.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; National Key Research and Development Program of China[2017YFB0503500]
WOS关键词	PM2.5 ; EXPOSURE ; CHINA ; GIS
WOS研究方向	Geography
语种	英语
出版者	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
WOS记录号	WOS:000489744600008
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/129589]
专题	中国科学院地理科学与资源研究所
通讯作者	Jiang, Lili
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.George Mason Univ, Ctr Spatial Informat Sci & Syst, Fairfax, VA 22030 USA
推荐引用方式 GB/T 7714	Jiang, Lili,Sun, Ziheng,Qi, Qingwen,et al. Spatial Correlation between Traffic and Air Pollution in Beijing[J]. PROFESSIONAL GEOGRAPHER,2019,71(4):654-667.
APA	Jiang, Lili,Sun, Ziheng,Qi, Qingwen,&Zhang, An.(2019).Spatial Correlation between Traffic and Air Pollution in Beijing.PROFESSIONAL GEOGRAPHER,71(4),654-667.
MLA	Jiang, Lili,et al."Spatial Correlation between Traffic and Air Pollution in Beijing".PROFESSIONAL GEOGRAPHER 71.4(2019):654-667.