干旱区生态环境知识资源中心(Arid): Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015

Arid

DOI	10.1007/s11442-019-1595-0
	Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015
	Zhou Liang 1,2; Zhou Chenghu 2; Yang Fan 3; Che Lei 4; Wang Bo 5; Sun Dongqi 2
通讯作者	Sun Dongqi
来源期刊	JOURNAL OF GEOGRAPHICAL SCIENCES
ISSN	1009-637X
EISSN	1861-9568
出版年	2019
卷号	29 期号:2 页码:253-270
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.
英文关键词	air pollution PM2.5 haze spatio-temporal evolution environmental influence China
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000455153300006
WOS关键词	PARTICULATE AIR-POLLUTION ; AEROSOL OPTICAL DEPTH ; LAND-USE REGRESSION ; UNITED-STATES ; CHEMICAL-COMPOSITION ; MORTALITY ; ASSOCIATION ; QUALITY ; URBAN ; VARIABILITY
WOS类目	Geography, Physical
WOS研究方向	Physical Geography
来源机构	中国科学院地理科学与资源研究所 ; 南京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217040
作者单位	1.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Gansu, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China; 4.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, 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]. 中国科学院地理科学与资源研究所, 南京大学,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.