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Multi-Level Fuzzy Comprehensive Evaluation for Water Resources Carrying Capacity in Xuzhou City, China

Author

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  • Ying Zhang

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaomeng Song

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaojun Wang

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
    Research Center for Climate Change, Ministry of Water Resources, Nanjing 210029, China)

  • Zhifeng Jin

    (Jiangsu Research Center of Land and Resources, Nanjing 210017, China)

  • Feng Chen

    (Jiangsu Hydraulic Research Institute, Nanjing 210017, China)

Abstract

Water resources, as an essential natural resource, plays an irreplaceable role in the ecological environment, social economy, and human survival. Water resource carrying capacity (WRCC), as an important indicator of sustainable development, has been widely used to assess the capacity of water resources to support economic and social development. Using Xuzhou City as a case study, the sustainable capacity of water resources in the current (from 2012 to 2020) and future (projected scenarios in 2025 and 2030) stages were investigated by constructing a multi-level fuzzy-based evaluation model. The results indicated that the average WRCC score is 0.4388 in Xuzhou City, ranging from 0.2908 to 0.6330, with a significant decline in the score value of 0.4644 in 2019 but an apparent improvement in WRCC from 2012 to 2020. However, the continued pressure on water resources sustainable development is unchanged in Xuzhou, according to the projected assessment of WRCC in 2025 and 2030. Overall, the WRCC in Xuzhou City will be overloaded under future development scenarios, i.e., sustainable development mode (Scenario A), water conservation mode (Scenario B), rapid socioeconomic development mode (Scenario C), and adjustment of industrial structure mode (Scenario D). Thus, several measures, such as industrial restructuring and water conservation and utilization, should be conducted to enhance the carrying capacity of regional water resources and ensure the quality and sustainability of regional social and economic development. The results can provide a reference for the rational utilization of water resources in Xuzhou and are of some significance in promoting the city’s coordinated socioeconomic growth.

Suggested Citation

  • Ying Zhang & Xiaomeng Song & Xiaojun Wang & Zhifeng Jin & Feng Chen, 2023. "Multi-Level Fuzzy Comprehensive Evaluation for Water Resources Carrying Capacity in Xuzhou City, China," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11369-:d:1199531
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    References listed on IDEAS

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    1. Guangming Cui & Xuliang Zhang & Zhaohui Zhang & Yinghui Cao & Xiujun Liu, 2019. "Comprehensive Land Carrying Capacities of the Cities in the Shandong Peninsula Blue Economic Zone and their Spatio-Temporal Variations," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    2. Changchun Tan & Qinhong Peng & Tao Ding & Zhixiang Zhou, 2021. "Regional Assessment of Land and Water Carrying Capacity and Utilization Efficiency in China," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    3. Xiaojun Zhi & Gulishengmu Anfuding & Guang Yang & Ping Gong & Chunxia Wang & Yi Li & Xiaolong Li & Pengfei Li & Chenxi Liu & Changlu Qiao & Yongli Gao, 2022. "Evaluation of the Water Resource Carrying Capacity on the North Slope of the Tianshan Mountains, Northwest China," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
    4. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
    5. Jingdong Zhang & Jiatian Fu & Chaoyang Liu & Zhiguang Qu & Yanan Li & Fei Li & Zhaofei Yang & Luping Jiang, 2019. "Evaluating Water Resource Assets Based on Fuzzy Comprehensive Evaluation Model: A Case Study of Wuhan City, China," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    6. Xiaojun Guo & Rui Zhang & Naiming Xie & Jingliang Jin & Lifeng Wu, 2021. "Predicting the Population Growth and Structure of China Based on Grey Fractional-Order Models," Journal of Mathematics, Hindawi, vol. 2021, pages 1-11, July.
    7. Wenzhi Cao & Jilin Deng & Yi Yang & Yangyan Zeng & Limei Liu, 2022. "Water Carrying Capacity Evaluation Method Based on Cloud Model Theory and an Evidential Reasoning Approach," Mathematics, MDPI, vol. 10(2), pages 1-17, January.
    8. Lane, Murray & Dawes, Les & Grace, Peter, 2014. "The essential parameters of a resource-based carrying capacity assessment model: An Australian case study," Ecological Modelling, Elsevier, vol. 272(C), pages 220-231.
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