Research on Flood Routing Model of Nansi Lake;

Based on flood forecasting and dynamic flood routing on line, the feasibility for raising the limiting level of Gutianxi-I reservoir during flood season is studied, the results gained by various methods are examined, and these methods could be used for promoting the effectiveness of other accomplished reservoirs.

A trial function interoolation method is presented to obtain analytical solutonsof flood routing through reservoir by extending ranges of equations with analytic solutions.

This paper summarizes the current status and development of the method for flood regulating calculation of reservoir,reviews some current typical methods and takes case study as example based on computational efficiency.

Establishment and application of the BP neural network model on flood routing through reservoir;

Hydrodynamic model for flood routing in a floodplain river;

Radial basis function-neural network model for channel flood routing;

Consideration of weir control in flood routing;

Improvement of Muskingum flood calculation model and it s parameter estimation using ant colony algorithm;

Based on river flood calculations principle,the mathematical calculations model was established for conforming river hydraulic characteristic and its law of change.

For the parameter estimation problem of flood calculation of Muskingum model,first,it is summed up as a non-linear parameter optimization problem,and then solved by adaptive accelerating differential evolution(AADE).