Dynamic and Intelligent Modeling Methods for Joint Operation of a Flood Control System
Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 10
Abstract
The “curse of dimensionality” is the main problem in flood control in multireservoir systems. This paper proposes a novel method of alleviating the “curse of dimensionality” by reducing the number of reservoirs for flood control joint operation. First, a criteria system for identifying effective reservoirs is established. Then an intelligent reasoning method is proposed to identify effective reservoirs according to dynamic information on the flood control situation. Finally, a multireservoir real-time flood control hybrid operation (MRFCHO) model is established dynamically and adaptively, in which the effective reservoirs are operated jointly and the noneffective reservoirs are operated separately. The proposed method is applied to a multireservoir system consisting of 14 reservoirs in the Huaihe River basin in China. The results show that the proposed method can identify effective reservoirs accurately in different flood control situations. The number of reservoirs for joint operation is lower than 50% of the total number of reservoirs under the premise of ensuring similar flood control effects, which reduces the dimensionality of the model and the complexity of decision making.
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Data Availability Statement
All data used in the study are available from the first author by request.
Acknowledgments
This work was supported by the National Key R&D Program of China (Grant No. 2017YFC0405606), the National Natural Science Foundation of China (Grant No. 51579068), the Fundamental Research Funds for the Central Universities (Grant No. 2018B10514, 2018B18214), the China Postdoctoral Science Foundation (Grant No. 2017M621612), and the National Natural Science Foundation of China (Grant No. 51609062).
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Published In
Journal of Water Resources Planning and Management
Volume 145 • Issue 10 • October 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jul 10, 2018
Accepted: Feb 25, 2019
Published online: Aug 6, 2019
Published in print: Oct 1, 2019
Discussion open until: Jan 6, 2020
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