Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt
Liu, Xiao-Jie1; Xia, Si-You2; Yang, Yu3,4; Wu, Jing-fen1; Zhou, Yan-Nan3,4; Ren, Ya-Wen3,4
刊名ENVIRONMENTAL POLLUTION
2020-08-01
卷号263页码:9
关键词PM2.5 ESTDA Spatial econometric methods Air pollution Yangtze River Economic Belt
ISSN号0269-7491
DOI10.1016/j.envpol.2020.114569
通讯作者Yang, Yu(yangyu@igsnrr.ac.cn)
英文摘要The determination of the spatiotemporal patterns and driving factors of PM2.5 is of great interest to the atmospheric and climate science community, who aim to understand and better control the atmospheric linkage indicators. However, most previous studies have been conducted on pollution-sensitive cities, and there is a lack of large-scale and long-term systematic analyses. In this study, we investigated the spatiotemporal evolution of PM2.5 and its influencing factors by using an exploratory spatiotemporal data analysis (ESTDA) technique and spatial econometric model based on remote sensing imagery inversion data of the Yangtze River Economic Belt (YREB), China, between 2000 and 2016. The results showed that 1) the annual value of PM2.5 was in the range of 23.49-37.67 mu g/m(3) with an inverted U-shaped change trend, and the PM2.5 distribution presented distinct spatial heterogeneity; 2) there was a strong local spatial dependence and dynamic PM2.5 growth process, and the spatial agglomeration of PM2.5 exhibited higher path-dependence and spatial locking characteristics; and 3) the endogenous interaction effect of PM2.5 was significant, where each 1% increase in the neighbouring PM2.5 levels caused the local PM2.5 to increase by at least 0.4%. Natural and anthropogenic factors directly and indirectly influenced the PM2.5 levels. Our results provide spatial decision references for coordinated trans-regional air pollution governance as well as support for further studies which can inform sustainable development strategies in the YREB. (c) 2020 Elsevier Ltd. All rights reserved.
资助项目National Key Research and Development Program of China[2016YFA0602800] ; National Natural Science Foundation of China[41871118] ; National Natural Science Foundation of China[41842056] ; Young Scientist Project of the Institute of Geographic Sciences and Natural Resources Research, CAS[2016RC202]
WOS关键词SPATIAL-TEMPORAL CHARACTERISTICS ; PARTICULATE MATTER ; AIR-POLLUTION ; SATELLITE-OBSERVATIONS ; CHINA ; PATTERNS ; REGION ; PM10 ; TIME
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000539426400056
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Young Scientist Project of the Institute of Geographic Sciences and Natural Resources Research, CAS
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/162174]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Yu
作者单位1.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China
2.Nanjing Normal Univ, Sch Geog Sci, Nanjing 210023, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Liu, Xiao-Jie,Xia, Si-You,Yang, Yu,et al. Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt[J]. ENVIRONMENTAL POLLUTION,2020,263:9.
APA Liu, Xiao-Jie,Xia, Si-You,Yang, Yu,Wu, Jing-fen,Zhou, Yan-Nan,&Ren, Ya-Wen.(2020).Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt.ENVIRONMENTAL POLLUTION,263,9.
MLA Liu, Xiao-Jie,et al."Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt".ENVIRONMENTAL POLLUTION 263(2020):9.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace