Performance evaluation of SRM and HBV model in simulation of snowmelt runoff in Bujin Basin

The snow melt forecast in mountainous basins plays an important role in the management of water resources. For this reason, snow hydrology in mountainous areas is of great importance. In this study, due to the lack of snow data in the Bujin area, SRM and HBV models were used to simulate snow melting. At first, rainfall data, precipitation data was prepared and verified during the period of Water Year 1387 until 1389. The MODIS sensor data was used in one-day time intervals to monitor the time and location of snow cover surface in the SRM model. ArcGIS software was used to implement the physical properties of the domain. Implementation of SRM and HBV models was performed using snow melt simulation. Then, using the results of the values of the parameters in the calibration step, the validation step was performed. The estimation rate of the R2 parameter obtained by the SRM and HBV model for the Bujin area is about 0.71 and 0.61 for calibration and about 0.72 and 0.69 for validation steps, so that these results, together with the values of the other evaluation criteria such as Nash-Sutcliff (coefficient of 0.71 for SRM model and 0.61 for HBV model at validation stage), showed good accuracy of models in runoff simulation. Also, the SRM model, due to the use of satellite images, showed a more reliable performance in snowmelt runoff simulation than the HBV model in this basin.