Integrated assessment and spatial coordination analysis of water resources carrying capacity in the Changbai mountain headwater region using cloud model and geodetector approach

The evaluation of Water Resources Carrying Capacity (WRCC) plays a critical role in understanding regional resource dynamics and guiding the sustainable allocation of water resources. Addressing the inherent uncertainties in hydrological systems and the subjectivity associated with indicator weighting, this study focuses on the headwater region of the Changbai Mountain area. A total of 28 indicators were selected from the "production-living-ecological" framework. Cloud model coupled with entropy weight method and entropy value method were applied to comprehensively assess WRCC, while a geodetector was employed to identify key driving factors. Furthermore, the coordination of WRCC among four regions was quantitatively evaluated by using the Coupling Coordination Degree Model (CCDM). Key findings include: (1) The WRCC of Fusong County was at Level II (good carrying capacity) from 2013 to 2016 and in 2019, and at Level III (carrying capacity) in all other years; Jingyu County was at Level II in 2021-2022, and at Level III in all other years; Changbai Korean Autonomous County was at Level III throughout; Linjiang City was at Level II in 2019-2020, and at Level III in all other years. (2) WRCC indices generally declined from northeast to southwest. (3) Urbanization rate (0.712), water consumption rate for forestry (0.584), animal husbandry and fishery (0.539) were the most significant drivers. (4) Coupling degrees among regions ranged from 0.973 to 0.996, with most areas transitioning from imbalance to coordination, except Jingyu County. The study provides scientific insights for optimizing water resource allocation and balancing economic development, human livelihoods, and ecological preservation in the Changbai Mountain area and the middle and lower reaches of the cities in Jilin Province.

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Publication Details

Journal
Scientific Reports
Published
2025-11-13
DOI
https://doi.org/10.1038/s41598-025-23531-9
Primary Topic
Water Resources and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated assessment and spatial coordination analysis of water resources carrying capacity in the Changbai mountain headwater region using cloud model and geodetector approach

Siyu Nie, Bing Huang, Yuqian Wang, Weimeng Han
Scientific Reports
Water Resources and Sustainability
article

Integrated assessment and spatial coordination analysis of water resources carrying capacity in the Changbai mountain headwater region using cloud model and geodetector approach

Siyu Nie, Bing Huang, Yuqian Wang, Weimeng Han
article en

Abstract

The evaluation of Water Resources Carrying Capacity (WRCC) plays a critical role in understanding regional resource dynamics and guiding the sustainable allocation of water resources. Addressing the inherent uncertainties in hydrological systems and the subjectivity associated with indicator weighting, this study focuses on the headwater region of the Changbai Mountain area. A total of 28 indicators were selected from the "production-living-ecological" framework. Cloud model coupled with entropy weight method and entropy value method were applied to comprehensively assess WRCC, while a geodetector was employed to identify key driving factors. Furthermore, the coordination of WRCC among four regions was quantitatively evaluated by using the Coupling Coordination Degree Model (CCDM). Key findings include: (1) The WRCC of Fusong County was at Level II (good carrying capacity) from 2013 to 2016 and in 2019, and at Level III (carrying capacity) in all other years; Jingyu County was at Level II in 2021-2022, and at Level III in all other years; Changbai Korean Autonomous County was at Level III throughout; Linjiang City was at Level II in 2019-2020, and at Level III in all other years. (2) WRCC indices generally declined from northeast to southwest. (3) Urbanization rate (0.712), water consumption rate for forestry (0.584), animal husbandry and fishery (0.539) were the most significant drivers. (4) Coupling degrees among regions ranged from 0.973 to 0.996, with most areas transitioning from imbalance to coordination, except Jingyu County. The study provides scientific insights for optimizing water resource allocation and balancing economic development, human livelihoods, and ecological preservation in the Changbai Mountain area and the middle and lower reaches of the cities in Jilin Province.

Scientific ReportsVol. 15(1)
Jilin University (CN), Institute of Disaster Prevention (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Northeast Institute of Geography and Agroecology (CN), Changchun Institute of Technology (CN)
People's Government of Jilin Province, Education Department of Jilin Province, Department of Science and Technology of Jilin Province
Openalex Percentile: Top 68%
Water Resources and Sustainability
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