A fuzzy dynamic wave routing model

被引:6
作者
Gopakumar, R. [2 ]
Mujumdar, P. P. [1 ]
机构
[1] Indian Inst Sci, Dept Civil Engn, Bangalore 560012, Karnataka, India
[2] Govt Engn Coll, Dept Civil Engn, Trichur 680009, India
关键词
flood routing; dynamic wave; Saint Venant equations; fuzzy sets; fuzzy rules; fuzzy inference systems;
D O I
10.1002/hyp.6727
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
In this paper a fuzzy dynamic wave routing model (FDWRM) for unsteady flow simulation in open channels is presented. The continuity equation of the dynamic wave routing model is preserved in its original form while the momentum equation is replaced by a fuzzy rule based model which is developed on the principle that during unsteady flow the disturbances in the form of discontinuities in the gradient of the physical parameters will propagate along the characteristics with a velocity equal to that of velocity of the shallow water wave. The model gets rid off the assumptions associated with the momentum equation by replacing it with the fuzzy rule based model. It overcomes the necessity of calculating friction slope (S-f) in flow routing and hence the associated uncertainties are eliminated. The robustness of the fuzzy rule based model enables the FDWRM to march the solution even in regions where the aforementioned assumptions are violated. Also the model can be used for flow routing in curved channels. When the model is applied to hypothetical flood routing problems in a river it is observed that the results are comparable to those of an implicit numerical model (INM) which solves the dynamic wave equations using an implicit numerical scheme. The model is also applied to a real case of flow routing in a field canal. The results match well with the measured data and the model performs better than the INK Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:1564 / 1572
页数:9
相关论文
共 31 条
[21]   Fuzzy conceptual rainfall-runoff models [J].
Özelkan, EC ;
Duckstein, L .
JOURNAL OF HYDROLOGY, 2001, 253 (1-4) :41-68
[22]  
Ross TJ., 2017, Fuzzy Logic with Engineering Applications, V4th ed.
[23]   Reservoir operating rules with fuzzy programming [J].
Russell, SO ;
Campbell, PF .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1996, 122 (03) :165-170
[24]   Flexible automated parameterization of hydrologic models using fuzzy logic - art. no. 1009 [J].
Samanta, S ;
Mackay, DS .
WATER RESOURCES RESEARCH, 2003, 39 (01)
[25]   Water flow modeling in the unsaturated zone with imprecise parameters using a fuzzy approach [J].
Schulz, K ;
Huwe, B .
JOURNAL OF HYDROLOGY, 1997, 201 (1-4) :211-229
[26]   Applying soft computing approaches to river level forecasting [J].
See, L ;
Openshaw, S .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1999, 44 (05) :763-778
[27]   A comparative fuzzy logic approach to runoff coefficient and runoff estimation [J].
Sen, Zekai ;
Altunkaynak, Abd sselam .
HYDROLOGICAL PROCESSES, 2006, 20 (09) :1993-2009
[28]  
Singh V.P., 2004, FLOW ROUTING OPEN CH
[29]   Fuzzy-logic-based approach to qualitative modeling [J].
Sugeno, Michio ;
Yasukawa, Takahiro .
IEEE Transactions on Fuzzy Systems, 1993, 1 (01) :7-31
[30]   A non-linear combination of the forecasts of rainfall-runoff models by the first-order Takagi-Sugeno fuzzy system [J].
Xiong, LH ;
Shamseldin, AY ;
O'Connor, KM .
JOURNAL OF HYDROLOGY, 2001, 245 (1-4) :196-217