Flood Routing in Channel Networks Using Adaptive Modified Muskingum Methods via Tabu Search

The present model structure is based on modified Muskingum method for channel network simulation for obtaining a real time hydrologic model of run-off. The field application of the model was checked using three flood events of the Khosk River Basin in Shiraz-Iran, which is based on their hydrometric station records upstream and downstream. In order to optimize the model parameters, tabu search method was used and compared with the results provided by genetic algorithm. The numerical simulator was derived in explicit finite difference scheme. The statistical results when compared to the genetic algorithm show the better performance of the current method.