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 | |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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2017-02-01 | |
卷号 | 24期号:5页码:4457-4468 |
关键词 | Air quality index Urban indicators Spatial dependency Regional difference China |
ISSN号 | 0944-1344 |
DOI | 10.1007/s11356-016-8181-0 |
通讯作者 | Luo, Kunli(kunlil@sohu.com) |
英文摘要 | Daily 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. |
WOS关键词 | DISTANCE FUNCTION-APPROACH ; ENERGY-CONSUMPTION ; METEOROLOGICAL FACTORS ; POLLUTION INDEX ; UNITED-STATES ; HEALTH ; IMPACTS ; CLIMATE ; GENERATION ; BUILDINGS |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SPRINGER HEIDELBERG |
WOS记录号 | WOS:000397007200018 |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/64685] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Luo, Kunli |
作者单位 | 1.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 |
推荐引用方式 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. |
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