Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones

doi:10.3390/atmos9040135

	Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones
	Zhao, Xiangwei 1,2; Gao, Qian 1; Sun, Meng 3; Xue, Yunchuan 4; Ma, RuiJin 5; Xiao, Xingyuan 1; Ai, Bo 1
刊名	ATMOSPHERE
	2018-04-01
卷号	9 期号:4 页码:19
关键词	air quality (AQ) dominant air pollutants spatiotemporal heterogeneity Kruskal-Wallis rank-sum test Wilcoxon signed-rank test copula model
ISSN号	2073-4433
DOI	10.3390/atmos9040135
通讯作者	Zhao, Xiangwei(zhaoxwchina@sdust.edu.cn) ; Gao, Qian(gaoqian7621@163.com)
英文摘要	Air pollution has impacted people's lives in urban China, and the analysis of the distribution and driving factors behind air quality has become a current research focus. In this study, the temporal heterogeneity of air quality (AQ) and the dominant air pollutants across the four seasons were analyzed based on the Kruskal-Wallis rank-sum test method. Then, the spatial heterogeneity of AQ and the dominant air pollutants across four sites were analyzed based on the Wilcoxon signed-rank test method. Finally, the copula model was introduced to analyze the effect of relative factors on dominant air pollutants. The results show that AQ and dominant air pollutants present significant spatiotemporal heterogeneity in the study area. AQ is worst in winter and best in summer. PM10, O-3, and PM2.5 are the dominant air pollutants in spring, summer, and winter, respectively. The average concentration of dominant air pollutants presents significant and diverse daily peaks and troughs across the four sites. The main driving factors are pollutants such as SO2, NO2, and CO, so pollutant emission reduction is the key to improving air quality. Corresponding pollution control measures should account for this heterogeneity in terms of AQ and the dominant air pollutants among different urban zones.
资助项目	National Key R&D Program of China[2017YFC1405004] ; Key Laboratory of Satellite Mapping Technology and Application, National Administration of Surveying[KLMSTA-201605] ; Young Teachers' Growth Plan in Shandong Province ; Project of Shandong Province Higher Educational Science and Technology Program[J14LH05]
WOS关键词	CROSS-CORRELATION ANALYSIS ; PARTICULATE MATTER PM10 ; KRUSKAL-WALLIS TEST ; NORTH CHINA PLAIN ; METEOROLOGICAL FACTORS ; TEMPORAL VARIATIONS ; EASTERN CHINA ; PM2.5 CONCENTRATIONS ; POLLUTION ; CITY
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	MDPI
WOS记录号	WOS:000435178000021
资助机构	National Key R&D Program of China ; Key Laboratory of Satellite Mapping Technology and Application, National Administration of Surveying ; Young Teachers' Growth Plan in Shandong Province ; Project of Shandong Province Higher Educational Science and Technology Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54726]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhao, Xiangwei; Gao, Qian
作者单位	1.Shandong Univ Sci & Technol, Shandong Prov Engn Res Ctr 3S, Qianwangang Rd, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Datun Rd, Beijing 100049, Peoples R China 3.Qingdao Environm Monitoring Ctr Stn, Yanan 1 Rd, Qingdao 266003, Peoples R China 4.Qingdao Meteorol Observat, Fulongshan Rd, Qingdao 266003, Peoples R China 5.Univ Redlands, MS GIS Program, East Colton Ave, Redlands, CA 92373 USA
推荐引用方式 GB/T 7714	Zhao, Xiangwei,Gao, Qian,Sun, Meng,et al. Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones[J]. ATMOSPHERE,2018,9(4):19.
APA	Zhao, Xiangwei.,Gao, Qian.,Sun, Meng.,Xue, Yunchuan.,Ma, RuiJin.,...&Ai, Bo.(2018).Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones.ATMOSPHERE,9(4),19.
MLA	Zhao, Xiangwei,et al."Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones".ATMOSPHERE 9.4(2018):19.