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A New Risk Assessment System Based on Set Pair Analysis – Variable Fuzzy Sets for Underground Reservoirs

Author

Listed:
  • Min Li

    (Ocean University of China
    Ocean University of China)

  • Tianyuan Zheng

    (Ocean University of China)

  • Jian Zhang

    (Limited company of Qingdao Huayi environmental protection technology)

  • Yunhai Fang

    (Ocean University of China
    Ocean University of China)

  • Jiang Liu

    (Shandong Hydrology Bureau)

  • Xilai Zheng

    (Ocean University of China
    Ocean University of China)

  • Hui Peng

    (Ocean University of China
    Ocean University of China)

Abstract

The effects of underground reservoir operation have important scientific significance and application value for the development, utilisation, and management of groundwater resources. Based on the investigation of hydrogeological conditions and operation management of the Dagu River underground reservoir, a new assessment system for the operation effects of the underground reservoir was established. In this study, water quantity, water quality, pollution source, vulnerability, and economic benefits of the underground reservoir were considered assessment indexes.. And we used a coupled set pair analysis and variable fuzzy set (SPA-VFS) to evaluate the Dagu Rive underground reservoir. The assessment results show that the assessment indexes of groundwater exploitation rate, groundwater exploitation modulus, wastewater treatment rate, and economic benefit ratio are good, but the water quality of the reservoir area is usually poor, the fertilizer application rate is high, and the aquifer vulnerability is weak.

Suggested Citation

  • Min Li & Tianyuan Zheng & Jian Zhang & Yunhai Fang & Jiang Liu & Xilai Zheng & Hui Peng, 2019. "A New Risk Assessment System Based on Set Pair Analysis – Variable Fuzzy Sets for Underground Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 4997-5014, December.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:15:d:10.1007_s11269-019-02390-w
    DOI: 10.1007/s11269-019-02390-w
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    References listed on IDEAS

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    1. Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 947-965, November.
    2. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    3. Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, February.
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    Cited by:

    1. Qiang Zou & Li Liao & Hui Qin, 2020. "Fast Comprehensive Flood Risk Assessment Based on Game Theory and Cloud Model Under Parallel Computation (P-GT-CM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1625-1648, March.
    2. Xueyou Zhang & Junfei Chen & Chong Yu & Qian Wang & Tonghui Ding, 2024. "Emergency risk assessment of sudden water pollution in South-to-North Water Diversion Project in China based on driving force–pressure–state–impact–response (DPSIR) model and variable fuzzy set," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 20233-20253, August.
    3. Azizallah Izady & Mohammad Sadegh Khorshidi & Mohammad Reza Nikoo & Ali Al-Maktoumi & Mingjie Chen & Hilal Al-Mamari & Amir H. Gandomi, 2021. "Optimal Water Allocation from Subsurface Dams: A Risk-Based Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4275-4290, September.

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