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Water Resources Risk Assessment Model based on the Subjective and Objective Combination Weighting Methods

Author

Listed:
  • Jun Zhao

    (Nanjing University of Information Science and Technology)

  • Juliang Jin

    (Hefei University of Technology)

  • Jiezhong Zhu

    (Nanjing University of Information Science and Technology)

  • Jinchao Xu

    (Nanjing Hydraulic Research Institute)

  • Qingfeng Hang

    (Jiangsu Provincial Hydrology and Water Resources Investigation Bureau)

  • Yaqian Chen

    (Pearl Water Resources Protection Institute)

  • Donghao Han

    (Nanjing University of Information Science and Technology)

Abstract

In order to fully protect water resources and govern water pollution, a water resources risk assessment model based on the subjective and objective combination weighting methods is studied in this paper. The model takes risk indices in water resources system as research object, and extracts the different index information from various angles. In this study, firstly, according to system evaluation standard, it constructs the judgment matrix by the subjective judgment and objective calculation method. Secondly, it applies the improved analytic hierarchy process with accelerating genetic algorithm for modifying the consistency of judge matrix to calculate the single sample weight and sample set weight. Thirdly, it uses water resources type of evaluation index and the level of sample evaluation index values to determine the combination weights. After that, the systematic comprehensive evaluation index can be obtained by taking a weighted Average of these combined weights and the consistent-dimensionless sample values for each evaluation index. Then, it classifies and sorts the samples by the comprehensive evaluation value. Finally, on the basis of risk level, it puts forward the suitable planning for water resources development with reference to the real condition. This study takes Hanjiang Basin for example. After risk assessment model establishment, validation and application between the actual and simulated data, the results show that the trend of water resources risk is considered to be controlled at a certain level. This is matched with the fact. The model is feasible in scientific method, and reasonable in conclusion, which can be applied to water resources risk assessment research.

Suggested Citation

  • Jun Zhao & Juliang Jin & Jiezhong Zhu & Jinchao Xu & Qingfeng Hang & Yaqian Chen & Donghao Han, 2016. "Water Resources Risk Assessment Model based on the Subjective and Objective Combination Weighting Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3027-3042, July.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:9:d:10.1007_s11269-016-1328-4
    DOI: 10.1007/s11269-016-1328-4
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    References listed on IDEAS

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    1. Marc Spiller & Brian McIntosh & Roger Seaton & Paul Jeffrey, 2015. "Integrating Process and Factor Understanding of Environmental Innovation by Water Utilities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1979-1993, April.
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    5. Calvin Siew & Tiku Tanyimboh & Alemtsehay Seyoum, 2014. "Assessment of Penalty-Free Multi-Objective Evolutionary Optimization Approach for the Design and Rehabilitation of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 373-389, January.
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    Cited by:

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    2. Yu, Shiwei & Duan, Haoran & Cheng, Jinhua, 2021. "An evaluation of the supply risk for China's strategic metallic mineral resources," Resources Policy, Elsevier, vol. 70(C).
    3. Shuyu Dai & Dongxiao Niu, 2017. "Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relati," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    4. Yansong Zhang & Yujie Wei & Yu Mao, 2023. "Sustainability Assessment of Regional Water Resources in China Based on DPSIR Model," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    5. Jiping Yao & Guoqiang Wang & Weina Xue & Zhipeng Yao & Baolin Xue, 2019. "Assessing the Adaptability of Water Resources System in Shandong Province, China, Using a Novel Comprehensive Co-evolution Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 657-675, January.
    6. Xueping Gao & Lingling Chen & Bowen Sun & Yinzhu Liu, 2017. "Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development," Sustainability, MDPI, vol. 9(8), pages 1-23, August.

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