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Regional Water Environmental Carrying Capacity: Changing Trends and Direction, Obstacle Factors, and Implications

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  • Xi Yang

    (Sun Yat-Sen University)

  • Zhihe Chen

    (Sun Yat-Sen University
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai))

  • Zhen Li

    (Sun Yat-Sen University)

Abstract

Assessing regional water environment carrying capacity (WECC) is crucial for measuring sustainable development and guiding water resource management policies. However, existing methods often overlook the dynamic trends in carrying capacity and uncertainties in the assessment process. This study proposes a time-varying Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) II model, integrating time series analysis and multi-criteria decision-making (MCDM) to address these limitations. Using Guangdong Province, China as a case study, key factors influencing WECC are identified through a simplified assessment index system and obstacle degree model. Results demonstrate that: (1) the developed framework broadens the capabilities of current technologies and provides an effective method for dealing with uncertain trends in WECC over time. (2) the carrying capacity of water environment showed a large spatial difference, with high in the centre and low around, among which Shenzhen ranked first with 0.3498, and Shaoguan ranked 21st with-0.2584., (3) per capita water resources, ecological water ratio, green coverage rate of built-up areas, per capita GDP, proportion of tertiary industry and per capita disposable income affect the level of regional WECC, with obstruction frequency exceeding 85%. These insights assist decision-makers in developing region-specific strategies for comprehensive water resource management.

Suggested Citation

  • Xi Yang & Zhihe Chen & Zhen Li, 2024. "Regional Water Environmental Carrying Capacity: Changing Trends and Direction, Obstacle Factors, and Implications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(9), pages 3215-3234, July.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:9:d:10.1007_s11269-024-03810-2
    DOI: 10.1007/s11269-024-03810-2
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    References listed on IDEAS

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    1. Xi Yang & Zhihe Chen & Min Qin, 2024. "Monthly Runoff Prediction Via Mode Decomposition-Recombination Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 269-286, January.
    2. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    3. Burak, Selmin & Samanlioglu, Funda & Ülker, Duygu, 2022. "Evaluation of irrigation methods in Söke Plain with HF-AHP-PROMETHEE II hybrid MCDM method," Agricultural Water Management, Elsevier, vol. 271(C).
    4. Marcelo Coelho & Cristovão Vicente Scapulatempo Fernandes & Daniel Henrique Marco Detzel, 2019. "Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2629-2644, June.
    5. Jiaxi Chen & Xiaonan Tang, 2023. "Towards Sustainable Cities: Studying Evaluation Index of Water Environment Carrying Capacity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(15), pages 5919-5938, December.
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