Multi-scale spatiotemporal trends and corresponding disparities of PM2.5 exposure in China
文献类型：期刊论文
| 作者 | Bai, Yu1,3; Liu, Menghang1,2,3 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 2024 |
| 卷号 | 340页码:12 |
| 关键词 | PM 2.5 exposure Turning point detection Multi -spatial scales Gini index |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2023.122857 |
| 通讯作者 | Liu, Menghang(liumenghang7111@igsnrr.ac.cn) |
| 英文摘要 | Despite the effectiveness of targeted measures to mitigate air pollution, China-a developing country with high PM2.5 concentration and dense population, faces a high risk of PM2.5-related mortality. However, existing studies on long-term PM2.5 exposure in China have not reached a consensus as to which year it peaked during the "initially pollution, then mitigation" process. Furthermore, analyses in these studies were rarely undertaken from multi-spatial scales. In this study, a piecewise linear regression model was employed to detect the turning point of population-weighted exposure (PWE) to PM2.5 for the period 2000-2020. Multi-scale spatiotemporal patterns of PM2.5 exposure were evaluated during upward and downward periods at the province, city and county levels, and their corresponding disparities were estimated using the Gini index. The results showed that 2013 was the breakpoint year for PM2.5 PWE across China from 2000 to 2020. Cities and counties where PM2.5 PWE displayed increasing trends during the mitigation stage (2013-2020) basically became the heaviest PM2.5 exposure regions in 2020. High PM2.5 exposure was observed in Beijing-Tianjin-Hebei, Central China, and the Tarim Basin in Xinjiang, whereas lower PM2.5 exposure regions were mainly concentrated in Hainan Province, the Hengduan Mountains, and northern Xinjiang. These cross-provincial patterns might have been overlooked when conducting macro-scale analyses. Province-level PM2.5 exposure inequality was less than the city- and county-levels estimations, and regional inequalities were high in eastern and western China. In this study, multi-scale PM2.5 exposure trends and their disparities over a prolonged period were investigated, and the findings provide a reference for pollution mitigation and regional inequality reduction. |
| WOS关键词 | AIR-POLLUTION ; INEQUALITY ; URBANIZATION ; HEALTH |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001111274800001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200596]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Menghang |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11 Datun Rd,Chaoyang Dist, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bai, Yu,Liu, Menghang. Multi-scale spatiotemporal trends and corresponding disparities of PM2.5 exposure in China[J]. ENVIRONMENTAL POLLUTION,2024,340:12. |
| APA | Bai, Yu,&Liu, Menghang.(2024).Multi-scale spatiotemporal trends and corresponding disparities of PM2.5 exposure in China.ENVIRONMENTAL POLLUTION,340,12. |
| MLA | Bai, Yu,et al."Multi-scale spatiotemporal trends and corresponding disparities of PM2.5 exposure in China".ENVIRONMENTAL POLLUTION 340(2024):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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