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

Min Li, Tianyuan Zheng (), Jian Zhang, Yunhai Fang, Jiang Liu, Xilai Zheng () and Hui Peng
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Min Li: 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
Jiang Liu: Shandong Hydrology Bureau
Xilai Zheng: Ocean University of China
Hui Peng: Ocean University of China

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 15, No 3, 4997-5014

Abstract: 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.

Keywords: Underground reservoir; Operation effect; Assessment system; Set pair analysis; Variable fuzzy set; SPA-VFS (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11269-019-02390-w

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