Abstarct: Accurate forecasting of river flows is one of the most important pillars in surface water resources management, especially taking appropriate measures in times of floods and droughts. With the development of computers and their computational capabilities and their rational decision-making, researchers have developed new methods for solving problems and phenomena more accurately and optimally. In this study, hydrological models of Wetsps, HEC_HMS and Gene exxpression Planning Model (GEP) were used to simulate rainfall-runoff of Barareh watershed. The Wetspa model was simulated using Meteorology and Hydrometry data as well as data integration of the three main model maps of hydrological processes including runoff. HEC-HMS model simulation process using SCS curve number to calculate loss and SCS unit hydrograph method to estimate runoff, also to run Gene exxpression programming model used hydrometry and meteorological data in the form of 6 proposed models. Comparison of model results showed that HEC-HMS model did not have good ability to estimate runoff in the region. Gene exxpression programming methods with the highest correlation coefficient (R) of 0.9 and 0.95 and the root-mean-square error (RMSE) Equal to 0.45 and 0.32, respectively, were superior to the WetSpa model for calibration and validation, respectively. also Gene exxpression programming method was used to simulate suspended sediment, The results showed that this method with correlation coefficients of 0.918 and 0.002, root-mean-square error of 1372.05 and 14400 ton/day Respectively, in the training and test phase, there is no proper performance in estimating the sediment in the area.