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Research Article | Open Access

Evaluation of water quality and water resources carrying capacity using a varying fuzzy pattern recognition model: A case study of small watersheds in Hilly Region

Su-duan Hu1,2,3Wen-da Liu1,3Jun-jian Liu1( )Jiang-Yulong Wang1,3Jun-jie Yang1,3Zhao-yi Li4Zhi-yang Tang5Guo-qiang Wang6Tian-cun Yu6
Langfang Integrated Natural Resources Survey Center, China Geological Survey, Langfang 065000, Hebei, China
Key Laboratory of Groundwater Sciences and Engineering, Ministry of Natural Resources, Shijiazhuang 050061, China
Innovation Base for Natural Resources Monitoring Technology in the Lower Reaches of Yongding River, Geological Society of China, Langfang 065000, Hebei, China
Chinese Academy of Geological Sciences, Beijing 100037, China
Chengde Water Authority, Chengde 067000, Hebei, China
Pingquan Water Authority, Chengde 067500, Hebei, China
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Abstract

Water scarcity and environment deterioration have become main constraints to sustainable economic and social development. Scientifically assessing Water Resources Carrying Capacity (WRCC) is essential for the optimal allocation of regional water resources. The hilly area at the northern foot of Yanshan Mountains is a key water conservation zone and an important water source for Beijing, Tianjin and Hebei. Grasping the current status and temporal trends of water quality and WRCC in representative small watersheds within this region is crucial for supporting rational water resources allocation and environment protection efforts. This study focuses on Pingquan City, a typical watershed in northern Hebei Province. Firstly, evaluation index systems for surface water quality, groundwater quality and WRCC were established based on the Pressure-State-Response (PSR) framework. Then, comprehensive evaluations of water quality and WRCC at the sub-watershed scale were conducted using the Varying Fuzzy Pattern Recognition (VFPR) model. Finally, the rationality of the evaluation results was verified, and future scenarios were projected. Results showed that: (1) The average comprehensive evaluation scores for surface water and groundwater quality in the sub-watersheds were 1.44 and 1.46, respectively, indicating that both met the national Class II water quality standard and reflected a high-quality water environment. (2) From 2010 to 2020, the region's WRCC steadily improved, with scores rising from 2.99 to 2.83 and an average of 2.90, suggesting effective water resources management in Pingquan City. (3) According to scenario-based prediction, WRCC may slightly decline between 2025 and 2030, reaching 2.92 and 2.94, respectively, relative to 2020 levels. Therefore, future efforts should focus on strengthening scientific management and promoting the efficient use of water resources. Proactive measures are necessary to mitigate emerging contradiction and ensure the long-term stability and sustainability of the water resources system in the region. The evaluation system and spatiotemporal evolution patterns proposed in this study can provide a scientific basis for refined water resource management and ecological conservation in similar hilly areas.

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Journal of Groundwater Science and Engineering
Pages 386-405

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Cite this article:
Hu S-d, Liu W-d, Liu J-j, et al. Evaluation of water quality and water resources carrying capacity using a varying fuzzy pattern recognition model: A case study of small watersheds in Hilly Region. Journal of Groundwater Science and Engineering, 2025, 13(4): 386-405. https://doi.org/10.26599/JGSE.2025.9280061

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Received: 23 October 2024
Accepted: 21 August 2025
Published: 10 October 2025
2305-7068/© 2025 Journal of Groundwater Science and Engineering Editorial Office

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)