Spatio-temporal Evolution and the Multi-scale Socio-economic Influencing Mechanism of PM2.5 in the Yellow River Basin during the China's 13th Five-Year Plan

被引:0
作者
Geng J. [1 ,2 ]
Shen S. [1 ,2 ]
Cheng C. [1 ,2 ]
机构
[1] State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing
[2] Faculty of Geographical Science, Beijing Normal University, Beijing
基金
中国国家自然科学基金;
关键词
Air pollution; Geodetector; Geographically weighted regression; High-quality development; Pollution treatment; Spatial autocorrelation analysis; The 14th Five Year Plan of China; Time series estimation;
D O I
10.12082/dqxxkx.2022.210534
中图分类号
学科分类号
摘要
The ecological protection and high-quality development of the Yellow River Basin is a major mission in the new era of China, and the air pollution abatement is among the necessities of the high-quality development. It is of great significance to explore the spatiotemporal variation of PM2.5 and its socio-economic influencing mechanisms for the air pollution abatement and high-quality development of the Yellow River Basin. By conducting time series estimation, spatial autocorrelation analysis, geodetector, and geographically weighted regression, this paper reveals the spatiotemporal variations and trends of PM2.5 concentration from 2015 to 2020 in the Yellow River Basin, and quantitatively explores the driving mechanism of socio-economic factors on both watershed scale and city scale. The main findings are as follows: (1) During the study period, the Yellow River Basin has an overall reduction in PM2.5 pollution. The PM2.5 concentration decreases with a fluctuating downward trend of 4.2 μg/m3 per year on average; (2) The PM2.5 concentrations in Shandong and Henan are high but decrease fast, whereas the concentrations in Shanxi and Shaanxi are also high but decrease slowly; (3) Future prediction based on the current trend shows that among the 61 cities in the Yellow River Basin, 54 cities will achieve the goal asserted in the 14th Five Year Plan of China, which proposes to reduce PM2.5 concentration by 10% in 2025. However, it would be a struggle for other 7 cities, i.e., Jincheng, Xi'an, Yulin, Taiyuan, Linfen, and Yuncheng, to meet the policy requirement due to their heavier pollution and slower improvements; (4) Population density, industrial enterprises amount, and land use intensity are the main socio-economic factors leading to the increasement of PM2.5 concentration in the Yellow River Basin, of which the explanatory power reached more than 50%; (5) From 2015 to 2019, the main regions influenced by high land use intensity and population density are transferred to the central part of the Yellow River Basin, which indicates that Shanxi, Shaanxi, and Inner Mongolia should be regarded as the key area to carry out the PM2.5 control programs; (6) Promoting the urban-rural development coordinated with environmental carrying capacity, as well as controlling the industrial scale and improving the environmental protection level of industrial enterprises are practical strategies to control the PM2.5 pollution in the Yellow River basin. Findings of this study are expected to provide theoretical reference for relevant decision makers in order to boost the high-quality development of the Yellow River Basin. © 2022, Science Press. All right reserved.
引用
收藏
页码:1163 / 1175
页数:12
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