Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015
文献类型:期刊论文
作者 | Zhou Liang1,3; Zhou Chenghu1; Yang Fan4; Che Lei2; Wang Bo5; Sun Dongqi1 |
刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES |
出版日期 | 2019-02-01 |
卷号 | 29期号:2页码:253-270 |
ISSN号 | 1009-637X |
关键词 | air pollution PM2.5 haze spatio-temporal evolution environmental influence China |
DOI | 10.1007/s11442-019-1595-0 |
通讯作者 | Sun Dongqi(sundq@igsnrr.ac.cn) |
英文摘要 | High concentrations of PM2.5 are universally considered as a main cause for haze formation. Therefore, it is important to identify the spatial heterogeneity and influencing factors of PM2.5 concentrations for regional air quality control and management. In this study, PM2.5 data from 2000 to 2015 was determined from an inversion of NASA atmospheric remote sensing images. Using geo-statistics, geographic detectors, and geo-spatial analysis methods, the spatio-temporal evolution patterns and driving factors of PM2.5 concentration in China were evaluated. The main results are as follows. (1) In general, the average concentration of PM2.5 in China increased quickly and reached its peak value in 2006; subsequently, concentrations remained between 21.84 and 35.08 g/m(3). (2) PM2.5 is strikingly heterogeneous in China, with higher concentrations in the north and east than in the south and west. In particular, areas with relatively high PM2.5 concentrations are primarily in four regions, the Huang-Huai-Hai Plain, Lower Yangtze River Delta Plain, Sichuan Basin, and Taklimakan Desert. Among them, Beijing-Tianjin-Hebei Region has the highest concentration of PM2.5. (3) The center of gravity of PM2.5 has generally moved northeastward, which indicates an increasingly serious haze in eastern China. High-value PM2.5 concentrations have moved eastward, while low-value PM2.5 has moved westward. (4) Spatial autocorrelation analysis indicates a significantly positive spatial correlation. The High-High PM2.5 agglomeration areas are distributed in the Huang-Huai-Hai Plain, Fenhe-Weihe River Basin, Sichuan Basin, and Jianghan Plain regions. The Low-Low PM2.5 agglomeration areas include Inner Mongolia and Heilongjiang, north of the Great Wall, Qinghai-Tibet Plateau, and Taiwan, Hainan, and Fujian and other southeast coastal cities and islands. (5) Geographic detection analysis indicates that both natural and anthropogenic factors account for spatial variations in PM2.5 concentration. Geographical location, population density, automobile quantity, industrial discharge, and straw burning are the main driving forces of PM2.5 concentration in China. |
WOS关键词 | PARTICULATE AIR-POLLUTION ; AEROSOL OPTICAL DEPTH ; LAND-USE REGRESSION ; UNITED-STATES ; CHEMICAL-COMPOSITION ; MORTALITY ; ASSOCIATION ; QUALITY ; URBAN ; VARIABILITY |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040401] ; China Postdoctoral Science Foundation[2016M600121] ; National Natural Science Foundation of China[41701173] ; National Natural Science Foundation of China[41501137] ; State Key Laboratory of Resources and Environmental Information System |
WOS研究方向 | Physical Geography |
语种 | 英语 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000455153300006 |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/50575] |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Sun Dongqi |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China 3.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Gansu, Peoples R China 4.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China 5.Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou Liang,Zhou Chenghu,Yang Fan,et al. Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(2):253-270. |
APA | Zhou Liang,Zhou Chenghu,Yang Fan,Che Lei,Wang Bo,&Sun Dongqi.(2019).Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015.JOURNAL OF GEOGRAPHICAL SCIENCES,29(2),253-270. |
MLA | Zhou Liang,et al."Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015".JOURNAL OF GEOGRAPHICAL SCIENCES 29.2(2019):253-270. |
入库方式: OAI收割
来源:地理科学与资源研究所
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