Comprehensive assessment of sustainable development of water resources in the Longdong Loess Plateau

Assessment of water resources carrying capacity (WRCC) is of great significance for understanding the status of regional water resources, promoting the coordinated development of water resources with environmental, social and economic development, and promoting sustainable development. This study focuses on the Longdong Loess Plateau region and utilized panel data spanning from 2010 to 2020, established a three-dimensional evaluation index system encompassing water resources, economic, and ecological dimensions, uses the entropy-weighted TOPSIS model coupled with global spatial autocorrelation analysis (Global Moran’s I) and the hot spot analysis (Getis-Ord Gi* index) method to comprehensively evaluate the spatial distribution of the WRCC in the study region. It can provide scientific basis and theoretical support for decision-making on sustainable development strategies in the Longdong Loess Plateau region and other regions of the world.From 2010 to 2020, the overall WRCC of the Longdong Loess Plateau area show some fluctuations but maintained overall growth. The WRCC in each county and district predominantly fell within level III (normal) and level IV (good). The spatial distribution of the WRCC in each county and district is featured by clustering pattern, with neighboring counties displaying similar values, resulting in a spatial distribution pattern characterized by high carrying capacity in the south and low carrying capacity in the north. Based on these findings, our study puts forth several recommendations for enhancing the WRCC in the Longdong Loess Plateau area.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-08-12
DOI
https://doi.org/10.24294/jipd.v8i8.5437
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
0.00

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article

Comprehensive assessment of sustainable development of water resources in the Longdong Loess Plateau

Hengji Li, Dai Wang, Meng Peng, Jiansheng Qu
Journal of Infrastructure Policy and Development
Regional Development and Environment
article

Comprehensive assessment of sustainable development of water resources in the Longdong Loess Plateau

Hengji Li, Dai Wang, Meng Peng, Jiansheng Qu
article en

Abstract

Assessment of water resources carrying capacity (WRCC) is of great significance for understanding the status of regional water resources, promoting the coordinated development of water resources with environmental, social and economic development, and promoting sustainable development. This study focuses on the Longdong Loess Plateau region and utilized panel data spanning from 2010 to 2020, established a three-dimensional evaluation index system encompassing water resources, economic, and ecological dimensions, uses the entropy-weighted TOPSIS model coupled with global spatial autocorrelation analysis (Global Moran’s I) and the hot spot analysis (Getis-Ord Gi* index) method to comprehensively evaluate the spatial distribution of the WRCC in the study region. It can provide scientific basis and theoretical support for decision-making on sustainable development strategies in the Longdong Loess Plateau region and other regions of the world.From 2010 to 2020, the overall WRCC of the Longdong Loess Plateau area show some fluctuations but maintained overall growth. The WRCC in each county and district predominantly fell within level III (normal) and level IV (good). The spatial distribution of the WRCC in each county and district is featured by clustering pattern, with neighboring counties displaying similar values, resulting in a spatial distribution pattern characterized by high carrying capacity in the south and low carrying capacity in the north. Based on these findings, our study puts forth several recommendations for enhancing the WRCC in the Longdong Loess Plateau area.

Journal of Infrastructure Policy and DevelopmentVol. 8(8)
Chinese Academy of Sciences (CN), Northwest Institute of Eco-Environment and Resources (CN), National Science Library (CN), Lanzhou University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 79%
Regional Development and Environment
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