Time-varying Decision-making Method for Multi-objective Regulation of Water Resources

Zengchuan Dong (), Xiaokuan Ni, Mufeng Chen, Hongyi Yao, Wenhao Jia, Jiaxing Zhong and Li Ren
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Zengchuan Dong: Hohai University
Xiaokuan Ni: Hohai University
Mufeng Chen: Hohai University
Hongyi Yao: Hohai University
Wenhao Jia: Hohai University
Jiaxing Zhong: Hohai University
Li Ren: Hohai University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 10, No 20, 3430 pages

Abstract: Abstract A decision-making method for water resource regulation that considers the multi-objective time-varying competition relationship is proposed, given the dynamic time-varying characteristics of the mutual feedback relationship and its strength as the main targets in the water resources scheduling cycle. With a focus on different dispatching periods, a time-varying multi-objective model of annual generation, annual ecology, period ecology is constructed. Dynamic decision weights are built using a method that combines entropy weight and FAHP, and then selects the dynamic preference scheme from the frontier cluster by weighted TOPSIS based on the weights. In this study the lower reaches of the Jinsha River are used as an example. The spatiotemporal variation relationship of the multi-objective is analyzed, the entire year is divided into three operation periods, and the Pareto frontier cluster is solved with a time-varying process. The results show that power generation is competitive with ecology on an annual scale. However, the relationship varies slightly in each period, being weakly cooperative in the flood period, not significant in the storage period, and competitive in the routine period. The decision method of focusing on the key period, considering time-varying demands and dynamic preferences, can obtain better annual power generation and ecological protection benefits than the traditional unified annual regulation method, and can improve the degree of guarantee of ecological demand in key areas during critical periods. Focusing on ecological protection during the routine period can achieve the best balance between power generation and ecological protection.

Keywords: Multi-objective decision-making; Time-vary; Pareto frontier cluster; Dynamic preference; Reservoir group operation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11269-021-02901-8

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