The rainfall-runoff model GR4J optimization of parameter by genetic algorithms and Gauss-Newton method: application for the watershed Ourika (High Atlas,Morocco)

Hydrological modeling aims to place the disposal of water actors, very simple tools for hydrological simulation to start with, the basic observations made on rainfall until the reproduction of the response the flow of a basin. The aims of this work consist, first, of testing the model GR4J (Génie Rural à 4 paramètres Journalier) performances of the rain-flow in semi-arid environment watershed and secondly, of highlighting the contribution of new optimization techniques (genetic algorithm, Gauss-Newton) in determining the optimal parameters of the model. The results obtained show that those methods of optimization are robust and reliable in comparison with the “solver” optimization used in Excel that usually applies for GR4J model. In terms of the model performances, we obtained a very satisfying results. Also, the simulations clearly show the influence of the melting snow on the Ourika’s basin flows; indeed, taking into account this component in the model allowed a consecutive improvement of the simulations.