Comparative analysis of GR2M, Temez and HEC-HMS Hydrological Models for runoff estimation in a high Andean basin

Kate Flores Zuniga S.; Junior Santos De La Cruz E.; Santos Hurtado S. · 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings (2022) · DOI: 10.1109/coniiti57704.2022.9953651

Resumen

In Peru, high Andean regions have a shortage of hydrometeorological data and monitoring stations, which generates uncertainty for water projects such as hydroelectric power generation, irrigation, among others, in order to satisfy needs for population. For this reason, precipitation-runoff hydrological models represent a way to estimate monthly mean flows based on precipitation, evapotranspiration and temperature data. Accordingly, this paper will develop three hydrological precipitation-runoff models GR2M, Temez and HEC-HMS, with PISCO satellite data provided by SENAMHI to determine monthly average flows. GR2M model shows good results in each one of the sub-basins under study. Furthermore, the Temez and HEC HMS models provide unsatisfactory results in the verification coefficients. GR2M model gave better results with the verification coefficients in each sub-basin: sub-basin 738 (PBIAS=-3.78, NSE=0.78, R2=0.79 and RSR=0.53), sub-basin 747 (PBIAS=-6.63, NSE=0.91, R2=0.91 and RSR=0.32) and sub-basin 773 (PBIAS=-2.79, NSE=0.66, R2= 0.63 and RSR=0.71). In conclusion, GR2M hydrological model has a better fit in selected high Andean basin areas due to its satisfactory verification coefficients.

Instituciones: Universidad Peruana de Ciencias Aplicadas