Construction and Application of Reservoir Flood Control Operation Rules Using the Decision Tree Algorithm
1
College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Tai’an 271018, China
2
Rizhao Reservoir Management and Operation Center, Rizhao 276816, China
3
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
4
Yangtze Institute for Conservation and Development, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Academic Editor: Renato Morbidelli
Water 2021, 13(24), 3654; https://doi.org/10.3390/w13243654
Received: 18 November 2021
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Revised: 15 December 2021
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Accepted: 15 December 2021
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Published: 20 December 2021
(This article belongs to the Section New Sensors, New Technologies and Machine Learning in Water Sciences)
Current conventional and optimal reservoir flood control operation methods insufficiently utilize historical reservoir operation data, which include rainfall, runoff generation, and inflow from the watershed, as well as the operational experience of decision makers over many years. Therefore, this study proposed and evaluated a new method for extracting reservoir flood control operation rules from historical operation data using the C4.5 algorithm. Thus, in this paper, the C4.5 algorithm is first introduced; then, the generation of the flood control operation dataset, the construction of decision tree-based (DT-based) rules, and the subsequent design of a real-time operating scheme are detailed. A case study of the Rizhao Reservoir is then employed to demonstrate the feasibility and even superiority of the operating scheme formulated using DT-based rules. Compared with previously proposed conventional and optimal reservoir operation methods, the DT-based method has the advantages of strong and convenient adaptability, enabling decision makers to effectively guide real-time reservoir operation.
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Keywords:
flood control operation; C4.5 algorithm; DT-based rules; nodes; discharge
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MDPI and ACS Style
Diao, Y.; Wang, C.; Wang, H.; Liu, Y. Construction and Application of Reservoir Flood Control Operation Rules Using the Decision Tree Algorithm. Water 2021, 13, 3654. https://doi.org/10.3390/w13243654
AMA Style
Diao Y, Wang C, Wang H, Liu Y. Construction and Application of Reservoir Flood Control Operation Rules Using the Decision Tree Algorithm. Water. 2021; 13(24):3654. https://doi.org/10.3390/w13243654
Chicago/Turabian StyleDiao, Yanfang, Chengmin Wang, Hao Wang, and Yanli Liu. 2021. "Construction and Application of Reservoir Flood Control Operation Rules Using the Decision Tree Algorithm" Water 13, no. 24: 3654. https://doi.org/10.3390/w13243654
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