确定水库分期汛限水位的神经网络调洪演算方法

Journal of Applied Sciences ›› 2009, Vol. 27 ›› Issue (3): 288-293.

• Computer Science and Applications • Previous Articles Next Articles

Application of Neural Networks to Determine Limited Water Level of Reservoir Flood Routing

1. College of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, China
2. Institute of Water Problem, Hohai University, Nanjing 210098, China

Received:2008-10-20 Revised:2009-04-13 Online:2009-05-28 Published:2009-05-28

Abstract

Abstract:

The dynamic control of reservoir limited water level is the key point to resolve conflict between flood control and benefits promotion, and realize safe utilization of flood resources. At present, the limited water level is determined by using flood routing to design flood of different frequencies. Different periods in a flood season have different designed flood. Based on safety of the dam and in view of practical operations and flood control standards,BP neural networks are used in the reservoir flood routing process to fully realize the benefits promotion and raise the limited water level as far as possible in a flood season. A neural network method for determining various limited water levels of reservoir flood routing is proposed. Applications show that the method is easy for visualization and simple for implementation. The precision satisfies practical needs, and it can be used in the computation of limited water level.

Key words: safe utilization of flood resources , reservoir flood routing , flood control operation , division of flood season , limited water level , neural network

CLC Number:

TV697

WU Cheng-guo1, JIN Ju-liang1, ZHOU Yu-liang2, CHENG Liang1. Application of Neural Networks to Determine Limited Water Level of Reservoir Flood Routing[J]. Journal of Applied Sciences, 2009, 27(3): 288-293.

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Application of Neural Networks to Determine Limited Water Level of Reservoir Flood Routing

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