Chaos high efficient genetic algorithm for parameter optimization of Muskingum routing model;

Differential Evolution Algorithm for Parameter Optimization of Muskingum Routing Model

By making use of the ant colony algorithm in the continuous space optimization problems,the parameter estimation of Muskingum routing model is solved.

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).

A new algorithm,parameter estimation for nonlinear Muskingum model based on Particle Swarm Optimization(PSO) is proposed in this paper in order to solve the problem of linearization、complexity and poor accuracy for parameter estimation of Muskingum model at present.

The principle and implementing steps of this algorithm are introduced in detail and is applied to estimate the parameter of nonlinear Muskingum model.

A newly developed heuristic algorithm,Harmony Search,is applied to the parameter estimation problem based on the nonlinear Muskingum model in combination with a flood routing formula which is derived from water balance equation and storage equation.

With the application of Muskingum routing method,Muskingum water-level simulating method and diffusion wave nonlinear water-level method,flood is forecasted and regulated in the part basin between Wa.

In order to solve the problem of complexity and poor accuracy for parameter estimation in Muskingum model,the chaos was incorporated into particle swarm optimization,chaotic particle swarm optimization algorithm to estimate the parameter of Mustingum model was set up.

The paper approaches and analyzes the application of linear regression method,Muskingum method and method of confluence coefficient to the calculation of low flow of Ning-Meng section of the Yellow River based on the principle of hydrology of flow routing and taking a day as time step.

Then the general design flood with flood peak of 1132m3/s is gained by Muskingum method and sup.

Taking gradient and slope angle as main factors,a watershed is discretized into some sub-catchments according to natural draining divide,and aiming at characteristics of the research area,a rainfall-runoff distributed hydrological model orienting to catchment scale is established in this thesis with combination of runoff yielding and water routing model of SCS and Muskingum method.