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Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones
Zhao, Xiangwei1,2; Gao, Qian1; Sun, Meng3; Xue, Yunchuan4; Ma, RuiJin5; Xiao, Xingyuan1; Ai, Bo1
2018-04-01
Source PublicationATMOSPHERE
ISSN2073-4433
Volume9Issue:4Pages:19
Corresponding AuthorZhao, Xiangwei(zhaoxwchina@sdust.edu.cn) ; Gao, Qian(gaoqian7621@163.com)
AbstractAir 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.
Keywordair quality (AQ) dominant air pollutants spatiotemporal heterogeneity Kruskal-Wallis rank-sum test Wilcoxon signed-rank test copula model
DOI10.3390/atmos9040135
WOS KeywordCROSS-CORRELATION ANALYSIS ; PARTICULATE MATTER PM10 ; KRUSKAL-WALLIS TEST ; NORTH CHINA PLAIN ; METEOROLOGICAL FACTORS ; TEMPORAL VARIATIONS ; EASTERN CHINA ; PM2.5 CONCENTRATIONS ; POLLUTION ; CITY
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000435178000021
PublisherMDPI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54727
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhao, Xiangwei; Gao, Qian
Affiliation1.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
Recommended Citation
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.
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