Quantifying influences of administrative division adjustment on PM2.5 pollution in China's mega-urban agglomerations
文献类型：期刊论文
| 作者 | Feng, Rundong1,2; Wang, Kaiyong1; Wang, Fuyuan1 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2022-01-15 |
| 卷号 | 302页码:9 |
| 关键词 | Administrative division adjustment PM2 5 Mega-urban agglomerations Lag effect Spatiotemporal evolution Influence mechanisms |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2021.113993 |
| 通讯作者 | Wang, Kaiyong(wangky@igsnrr.ac.cn) |
| 英文摘要 | China's mega-urban agglomerations have experienced severe particulate matter pollution that is accompanied by rapid economic growth and extensive administrative division adjustment (ADA). However, the precise roles of ADA on the environmental quality are unknown. Using the geographical detector and evolution tree model, this study quantifies the effects and mechanisms of ADA on the changes in PM2.5 concentration in three mega-urban agglomerations: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) during 2000-2017. Our results showed that: (1) ADA had strong positive effects on PM2.5 concentrations in the 0-6 years lag and negative effects in the 7-10 years lag; (2) During 2000-2009, ADA elevated PM2.5 concentration by 5.93% via stimulating the development and transfer of heavy industry and urban sprawl in the BTH; (3) YRD and PRD respectively reduced the ADA's exacerbating effect to 5.26% and 4.98% via reasonable industrial structures and comprehensive cooperation mechanisms; (4) During 2009-2017, BTH and YRD integrated industrial transformation and environmental protection services through ADA, which alleviated 9.51% and 8.49% of PM2.5 pollution. PRD, meanwhile, accomplished orderly population dispersal and urban expansion by combining ADA with urban planning, thus reducing the PM2.5 concentration by 8.01%. We located three agglomerations in the evolution tree, which provide a basis for formulating relevant policies and region-oriented air pollution joint prevention control strategies. |
| WOS关键词 | ENERGY-CONSUMPTION ; EMPIRICAL-ANALYSIS ; HAZE POLLUTION ; EVOLUTION TREE ; AIR-POLLUTION ; URBANIZATION ; CITIES ; MITIGATION ; MORTALITY ; EXPANSION |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000714693900007 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167529]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Kaiyong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Rundong,Wang, Kaiyong,Wang, Fuyuan. Quantifying influences of administrative division adjustment on PM2.5 pollution in China's mega-urban agglomerations[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,302:9. |
| APA | Feng, Rundong,Wang, Kaiyong,&Wang, Fuyuan.(2022).Quantifying influences of administrative division adjustment on PM2.5 pollution in China's mega-urban agglomerations.JOURNAL OF ENVIRONMENTAL MANAGEMENT,302,9. |
| MLA | Feng, Rundong,et al."Quantifying influences of administrative division adjustment on PM2.5 pollution in China's mega-urban agglomerations".JOURNAL OF ENVIRONMENTAL MANAGEMENT 302(2022):9. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
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。