Optimizing Joint Flood Control Operating Charts for Multi–reservoir System Based on Multi–group Piecewise Linear Function

Lihua Chen, Jing Yu, Jin Teng, Hang Chen (), Xiang Teng and Xuefang Li
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Lihua Chen: Guangxi University
Jing Yu: Guangxi University
Jin Teng: Guangxi University
Hang Chen: Guangxi University
Xiang Teng: Guangxi University
Xuefang Li: Guangxi University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 9, No 22, 3305-3325

Abstract: Abstract Compared to conventional operating rules (CORs) for multiple reservoirs in a basin, joint flood control operation can reduce flood loss in downstream cities. The CORs adopted for most reservoirs ignore among–basin coordination, leading to incomplete consideration of the problem of the compensation effect between the reservoir flood control storage capacity (FCSC) and uneven flood composition distribution. A parameterization–simulation–optimization framework was applied in this study to design reservoir joint optimized flood control operating charts (OFCOCs) and analyse the compensation effect between reservoirs. The non–fixed FCSC nodes method and guaranteed output were respectively adopted to bound the end water levels in reservoirs with low inflow but high FCSC values or those adopting dynamic flood limited water level (DFLWL) return to the flood limited water level (FLWL). Choosing the Xijiang River basin (XRB) as an example, the optimized OFCOC designed in this study achieved a better peak–cutting effect than that of the CORs. The peak–cutting rate of the OFCOC was 5.77%, while that of the CORs was 3.41%. Adoption of the non–fixed FCSC nodes method and guaranteed output could meet the constraint of water level return to the FLWL. Reasonable operating chart design could provide a guideline for scientific flood control.

Keywords: Multi–reservoir system; Flood control operating chart; Parameterization–simulation–optimization; Xijiang River basin (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03202-4

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