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Spatiotemporal evolution of PM2.5 concentrations in urban agglomerations of China
Wang Zhenbo1,2; Liang Longwu1,2; Wang Xujing3
2021-06-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume31Issue:6Pages:878-898
Corresponding AuthorWang Zhenbo(wangzb@igsnrr.ac.cn)
AbstractAs the main form of new urbanization in China, urban agglomerations are an important platform to support national economic growth, promote coordinated regional development, and participate in international competition and cooperation. However, they have become core areas for air pollution. This study used PM2.5 data from NASA atmospheric remote sensing image inversion from 2000 to 2015 and spatial analysis including a spatial Durbin model to reveal the spatio-temporal evolution characteristics and main factors controlling PM2.5 in China's urban agglomerations. The main conclusions are as follows: (1) From 2000 to 2015, the PM2.5 concentrations of China's urban agglomerations showed a growing trend with some volatility. In 2007, there was an inflection point. The number of low-concentration cities decreased, while the number of high-concentration cities increased. (2) The concentrations of PM2.5 in urban agglomerations were high in the west and low in the east, with the "Hu Line" as the boundary. The spatial differences were significant and increasing. The concentration of PM2.5 grew faster in urban agglomerations in the eastern and northeastern regions. (3) The urban agglomeration of PM2.5 had significant spatial concentrations. The hot spots were concentrated to the east of the Hu Line, and the number of hot-spot cities continued to rise. The cold spots were concentrated to the west of the Hu Line, and the number of cold-spot cities continued to decline. (4) There was a significant spatial spillover effect of PM2.5 pollution among cities within urban agglomerations. The main factors controlling PM2.5 pollution in different urban agglomerations had significant differences. Industrialization and energy consumption had a significant positive impact on PM2.5 pollution. Foreign direct investment had a significant negative impact on PM2.5 pollution in the southeast coastal and border urban agglomerations. Population density had a significant positive impact on PM2.5 pollution in a particular region, but this had the opposite effect in neighboring areas. Urbanization rate had a negative impact on PM2.5 pollution in national-level urban agglomerations, but this had the opposite effect in regional and local urban agglomerations. A high degree of industrial structure had a significant negative impact on PM2.5 pollution in a region, but this had an opposite effect in neighboring regions. Technical support level had a significant impact on PM2.5 pollution, but there were lag effects and rebound effects.
Keywordurban agglomeration PM2 5 spatiotemporal evolution influencing factor spatial Durbin model
DOI10.1007/s11442-021-1876-2
WOS KeywordSPATIAL-TEMPORAL CHARACTERISTICS ; LAND-USE REGRESSION ; SOURCE APPORTIONMENT ; PARTICULATE MATTER ; HAZE POLLUTION ; PM10 ; AEROSOL ; URBANIZATION ; PROGRESS ; MODELS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41771181] ; National Key Research and Development Plan[2017YFC0505702] ; Open Fund Project of New Urbanization Research Institute of Tsinghua University
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Plan ; Open Fund Project of New Urbanization Research Institute of Tsinghua University
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000658175600007
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164117
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang Zhenbo
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Shanxi Normal Univ, Coll Geog Sci, Linfen 041004, Shanxi, Peoples R China
Recommended Citation
GB/T 7714
Wang Zhenbo,Liang Longwu,Wang Xujing. Spatiotemporal evolution of PM2.5 concentrations in urban agglomerations of China[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2021,31(6):878-898.
APA Wang Zhenbo,Liang Longwu,&Wang Xujing.(2021).Spatiotemporal evolution of PM2.5 concentrations in urban agglomerations of China.JOURNAL OF GEOGRAPHICAL SCIENCES,31(6),878-898.
MLA Wang Zhenbo,et al."Spatiotemporal evolution of PM2.5 concentrations in urban agglomerations of China".JOURNAL OF GEOGRAPHICAL SCIENCES 31.6(2021):878-898.
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