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DOI10.5194/hess-22-831-2018
Deduction of reservoir operating rules for application in global hydrological models
Coerver H.M.; Rutten M.M.; Van De Giesen N.C.
发表日期2018
ISSN1027-5606
起始页码831
结束页码851
卷号22期号:1
英文摘要A big challenge in constructing global hydrological models is the inclusion of anthropogenic impacts on the water cycle, such as caused by dams. Dam operators make decisions based on experience and often uncertain information. In this study information generally available to dam operators, like inflow into the reservoir and storage levels, was used to derive fuzzy rules describing the way a reservoir is operated. Using an artificial neural network capable of mimicking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference system, fuzzy rules linking inflow and storage with reservoir release were determined for 11 reservoirs in central Asia, the US and Vietnam. By varying the input variables of the neural network, different configurations of fuzzy rules were created and tested. It was found that the release from relatively large reservoirs was significantly dependent on information concerning recent storage levels, while release from smaller reservoirs was more dependent on reservoir inflows. Subsequently, the derived rules were used to simulate reservoir release with an average Nash-Sutcliffe coefficient of 0.81. © Author(s) 2018.
语种英语
scopus关键词Fuzzy inference; Fuzzy logic; Fuzzy neural networks; Fuzzy rules; Hydrology; Neural networks; Adaptive network based fuzzy inference system; Anthropogenic impacts; Hydrological models; Information concerning; Nash-Sutcliffe coefficient; Reservoir operating rules; Reservoir release; Uncertain informations; Reservoirs (water); anthropogenic effect; artificial neural network; dam; fuzzy mathematics; hydrological modeling; inflow; reservoir; Asia; United States; Viet Nam
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/160175
作者单位Coerver, H.M., Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands, UNESCO-IHE Institute for Water Education, Delft, Netherlands; Rutten, M.M., Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands; Van De Giesen, N.C., Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands
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Coerver H.M.,Rutten M.M.,Van De Giesen N.C.. Deduction of reservoir operating rules for application in global hydrological models[J],2018,22(1).
APA Coerver H.M.,Rutten M.M.,&Van De Giesen N.C..(2018).Deduction of reservoir operating rules for application in global hydrological models.Hydrology and Earth System Sciences,22(1).
MLA Coerver H.M.,et al."Deduction of reservoir operating rules for application in global hydrological models".Hydrology and Earth System Sciences 22.1(2018).
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