IGSNRR OpenIR
Spatial variation of air quality index and urban driving factors linkages: evidence from Chinese cities
Pu, Haixia1,2; Luo, Kunli1; Wang, Pin3; Wang, Shaobin1,2; Kang, Shun4
2017-02-01
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Volume24Issue:5Pages:4457-4468
Corresponding AuthorLuo, Kunli(kunlil@sohu.com)
AbstractDaily air quality index (AQI) of 161 Chinese cities obtained from the Ministry of Environmental Protection of China in 2015 is conducted. In this study, to better explore spatial distribution and regional characteristic of AQI, global and local spatial autocorrelation is utilized. Pearson's correlation is introduced to determine the influence of single urban indicator on AQI value. Meanwhile, multiple linear stepwise regression is chosen to estimate quantitatively the most influential urban indicators on AQI. The spatial autocorrelation analysis indicates that the AQI value of Chinese 161 cities shows a spatial dependency. Higher AQI is mainly located in north and northwest regions, whereas low AQI is concentrated in the south and the Qinghai-Tibet regions. The low AQI and high AQI values in China both exhibit relative immobility through seasonal variation. The influence degree of three adverse urban driving factors on AQI value is ranked from high to low: coal consumption of manufacturing > building area > coal consumption of the power industry. It is worth noting that the risk of exposed population to poor quality is greater in the northern region than in other regions. The results of the study provide a reference for the formulation of urban policy and improvement of air quality in China.
KeywordAir quality index Urban indicators Spatial dependency Regional difference China
DOI10.1007/s11356-016-8181-0
WOS KeywordDISTANCE FUNCTION-APPROACH ; ENERGY-CONSUMPTION ; METEOROLOGICAL FACTORS ; POLLUTION INDEX ; UNITED-STATES ; HEALTH ; IMPACTS ; CLIMATE ; GENERATION ; BUILDINGS
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000397007200018
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64686
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLuo, Kunli
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, All Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Design & Res Inst, Yellow River Water Conservancy Comm, Zhengzhou 450003, Peoples R China
4.China Univ Min & Technol, Beijing 100083, Peoples R China
Recommended Citation
GB/T 7714
Pu, Haixia,Luo, Kunli,Wang, Pin,et al. Spatial variation of air quality index and urban driving factors linkages: evidence from Chinese cities[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2017,24(5):4457-4468.
APA Pu, Haixia,Luo, Kunli,Wang, Pin,Wang, Shaobin,&Kang, Shun.(2017).Spatial variation of air quality index and urban driving factors linkages: evidence from Chinese cities.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,24(5),4457-4468.
MLA Pu, Haixia,et al."Spatial variation of air quality index and urban driving factors linkages: evidence from Chinese cities".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 24.5(2017):4457-4468.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Pu, Haixia]'s Articles
[Luo, Kunli]'s Articles
[Wang, Pin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Pu, Haixia]'s Articles
[Luo, Kunli]'s Articles
[Wang, Pin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Pu, Haixia]'s Articles
[Luo, Kunli]'s Articles
[Wang, Pin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.