DOI: 10.5194/hess-22-831-2018
Scopus记录号: 2-s2.0-85041397772
论文题名: Deduction of reservoir operating rules for application in global hydrological models
作者: Coerver H ; M ; , Rutten M ; M ; , Van De Giesen N ; C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 1 起始页码: 831
结束页码: 851
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79446
Appears in Collections: 气候变化事实与影响
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作者单位: Water Resources, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands; UNESCO-IHE Institute for Water Education, Delft, Netherlands
Recommended Citation:
Coerver H,M,, Rutten M,et al. Deduction of reservoir operating rules for application in global hydrological models[J]. Hydrology and Earth System Sciences,2018-01-01,22(1)