Abstract
Based on the pressure–state–response (PSR) framework, in this paper, we construct an assessment system for sustainable water utilization (SWU) in 60 prefecture-level cities along the Yellow River Basin. Then, a spatial autocorrelation model is employed to analyze the spatial distribution characteristics of SWU. Further, nine related variables are selected to explore the key factors affecting the spatial differentiation of SWU with a geographic detector model. The results are as follows: (1) The overall level of SWU in the Yellow River Basin is not high, and the level of SWU in five cities is much higher than that in other cities. (2) Overall, the SWU shows noticeable spatial autocorrelation characteristics along the Yellow River Basin. Additionally, locally, it shows high–high agglomeration, low–high agglomeration, and low–low agglomeration. (3) The most important factors affecting the spatial differentiation of SWU in the Yellow River Basin are precipitation, population density, and the proportion of tertiary industry in regional GDP.
Funder
the National Natural Science Foundation of China
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference37 articles.
1. Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China;Lu;Agric. Water Manag.,2022
2. Evaluation and prediction of sustainable water utilization in the Yellow River Delta;Han;Chin. Popul. Resour. Environ.,2015
3. Match words with deeds: Curbing water risk with the Sustainable Development Goal 6 index;Cai;J. Clean. Prod.,2021
4. Cheng, Y., Liu, H., Wang, S., Cui, X., and Li, Q. Global action on SDGs: Policy review and outlook in a post-pandemic Era. Sustainability, 2021. 13.
5. Research on countermeasures for sustainable water utilization in the Yellow River;Shi;Nat. Resour. North China,2020
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