Spatiotemporal dynamics and impacts of socioeconomic and natural conditions on PM2.5 in the Yangtze River Economic Belt
文献类型：期刊论文
| 作者 | Liu, Xiao-Jie1; Xia, Si-You2; Yang, Yu3,4; Wu, Jing-fen1; Zhou, Yan-Nan3,4; Ren, Ya-Wen3,4 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 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 |
| DOI | 10.1016/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. |
| WOS关键词 | SPATIAL-TEMPORAL CHARACTERISTICS ; PARTICULATE MATTER ; AIR-POLLUTION ; SATELLITE-OBSERVATIONS ; CHINA ; PATTERNS ; REGION ; PM10 ; TIME |
| 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研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000539426400056 |
| 出版者 | ELSEVIER SCI LTD |
| 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 |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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