Technical Note: Evaluating the proficiency of GR2M and GR4J rainfall-runoff models in Darehtakht Basin runoff simulation

Abstract:
Run off simulation is one of the most important topics in hydrology And its study is based on rainfall- run off models. Several rain fall and run off models have been developed and the most appropriate model should be selected for each catchment. By applying the appropriate model the water consumption will be optimized. The model should be selected for each catchment based on the model abilities and limits. In this study, the performance of two rain fall and runoff models, GR2M and GR4J were compared in Darehtakht Basin in Lorestan Province during 1379 to 1392. The Nash coefficient was used as a decision criteria for comparing two model performances. Nash coefficient for GR4J and GR2M were 42.7 and 65.5, respectively. Results showed that both models can predict the performance of the catchment accurately, but, based on Nash coefficient the GR2M is more accurate than the GR4M.
Language:
Persian
Published:
Journal of Watershed Engineering and Management, Volume:9 Issue: 3, 2017
Pages:
360 to 370
https://magiran.com/p1723036