Desarrollo de un modelo lluvia-escorrentía distribuido, una aplicación basada en el modelo concentrado de Témez

Abstract

The dependence on water in all human activities around the world has created the need to know how much rain and flow can exist in a given place. In this study, a rainfall-runoff prediction model is presented applying the Témez model in its distributed form. Information on rainfall, temperatures and flows was collected in joint hydrological stations. The relationship between monthly average flow at the beginning of the basin and at the point of interest was analyzed, allowing the application of the distributed method of Témez with the microbasin division. Then the Pearson correlation and Nash-Sutcliffe equilibrium were determined for the simulated flows; and finally, an attempt was made to adjust these flow rates with a coefficient obtained from the wave attenuity equations proposed by Muskingum-Cunge. The relationship between average monthly flows at the beginning and at the end of the basin did not reflect displacements of the peak flow in time. The distributed flows were classified into a Pearson correlation and a very good Nash-Sutcliffe number; and there was no need to apply an adjustment through Muskingum-Cunge. Finally, it is shown that the rainfall-runoff model distributed by microbasins allows an optimal simulation.