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	Spatiotemporal variability of remotely sensed pm2.5 concentrations in china from 1998 to 2014 based on a bayesian hierarchy model
	Li, Junming1,3; Jin, Meijun2; Xu, Zheng4
刊名	International journal of environmental research and public health
	2016-08-01
卷号	13期号:8页码:17
关键词	Pm2.5 concentrations Spatiotemporal variation Bayesian hierarchy model
ISSN号	1660-4601
DOI	10.3390/ijerph13080772
通讯作者	Jin, meijun(jinmeijun@tyut.edu.cn)
英文摘要	With the rapid industrial development and urbanization in china over the past three decades, pm2.5 pollution has become a severe environmental problem that threatens public health. due to its unbalanced development and intrinsic topography features, the distribution of pm2.5 concentrations over china is spatially heterogeneous. in this study, we explore the spatiotemporal variations of pm2.5 pollution in china and four great urban areas from 1998 to 2014. a space-time bayesian hierarchy model is employed to analyse pm2.5 pollution. the results show that a stable "3-clusters" spatial pm2.5 pollution pattern has formed. the mean and 90% quantile of the pm2.5 concentrations in china have increased significantly, with annual increases of 0.279 mu g/m(3) (95% ci: 0.083-0.475) and 0.735 mu g/m(3) (95% ci: 0.261 - 1.210), respectively. the area with a pm2.5 pollution level of more than 70 mu g/m(3) has increased significantly, with an annual increase of 0.26 percentage points. two regions in particular, the north china plain and sichuan basin, are experiencing the largest amounts of pm2.5 pollution. the polluted areas, with a high local magnitude of more than 1.0 relative to the overall pm2.5 concentration, affect an area with a human population of 949 million, which corresponded to 69.3% of the total population in 2010. north and south differentiation occurs in the urban areas of the jingjinji and yangtze delta, and circular and radial gradient differentiation occur in the urban areas of the cheng-yu and pearl deltas. the spatial heterogeneity of the urban jingjinji group is the strongest. eighteen cities located in the yangtze delta urban group, including shanghai and nanjing, have experienced high pm2.5 concentrations and faster local trends of increasing pm2.5. the percentage of exposure to pm2.5 concentrations greater than 70 mu g/m(3) and 100 mu g/m(3) is increasing significantly.
WOS关键词	LONG-TERM EXPOSURE ; AIR-POLLUTION ; PARTICULATE MATTER ; HEALTH ; MORTALITY ; PARTICLES
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000382462900027
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2375628
专题	中国科学院大学
通讯作者	Jin, Meijun
作者单位	1.Chinese Acad Sci, Inst Geodesy & Geophys, Xudong St 340, Wuhan 430077, Peoples R China 2.Taiyuan Univ Technol, Coll Architecture & Civil Engn, Yingze St 79, Taiyuan 030024, Peoples R China 3.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 4.Henan Univ, Jin Ming Ave, Kaifeng 475001, Peoples R China
推荐引用方式 GB/T 7714	Li, Junming,Jin, Meijun,Xu, Zheng. Spatiotemporal variability of remotely sensed pm2.5 concentrations in china from 1998 to 2014 based on a bayesian hierarchy model[J]. International journal of environmental research and public health,2016,13(8):17.
APA	Li, Junming,Jin, Meijun,&Xu, Zheng.(2016).Spatiotemporal variability of remotely sensed pm2.5 concentrations in china from 1998 to 2014 based on a bayesian hierarchy model.International journal of environmental research and public health,13(8),17.
MLA	Li, Junming,et al."Spatiotemporal variability of remotely sensed pm2.5 concentrations in china from 1998 to 2014 based on a bayesian hierarchy model".International journal of environmental research and public health 13.8(2016):17.

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