برآورد رواناب حاصل از ذوب برف با استفاده از مدل SRM در حوضه آبخیز طالقان

The purpose of this study was to evaluate the Snowmelt Runoff Model (SRM) to estimate of daily runoff at Galinak hydrometric station in Taleghan watershed, Iran. In this study, the input variables of the model such as hydrology and meteorology variables and physical condition of the catchment area were calculated and a total of 72 pass from satellite images of MODIS was used to determine the snow cover area. Comparison of measured and calculated hydrographs was carried out using the efficiency coefficient of Nash-Sutcliffe (R2) and difference of volume percent (Dv). The R2 and Dv values were found equal to 0.95 and 2.07 percent in the calibration period and equal to 0.86 and 4.81 percent in the validation period for Galinak hydrometric station. The results show that the model proved to be an excellent alternative, performing high-quality daily snowmelt runoff prediction.

The purpose of this study was to evaluate the Snowmelt Runoff Model (SRM) to estimate of daily runoff at Galinak hydrometric station in Taleghan watershed, Iran. In this study, the input variables of the model such as hydrology and meteorology variables and physical condition of the catchment area were calculated and a total of 72 pass from satellite images of MODIS was used to determine the snow cover area. Comparison of measured and calculated hydrographs was carried out using the efficiency coefficient of Nash-Sutcliffe (R2) and difference of volume percent (Dv). The R2 and Dv values were found equal to 0.95 and 2.07 percent in the calibration period and equal to 0.86 and 4.81 percent in the validation period for Galinak hydrometric station. The results show that the model proved to be an excellent alternative, performing high-quality daily snowmelt runoff prediction.
The purpose of this study was to evaluate the Snowmelt Runoff Model (SRM) to estimate of daily runoff at Galinak hydrometric station in Taleghan watershed, Iran. In this study, the input variables of the model such as hydrology and meteorology variables and physical condition of the catchment area were calculated and a total of 72 pass from satellite images of MODIS was used to determine the snow cover area. Comparison of measured and calculated hydrographs was carried out using the efficiency coefficient of Nash-Sutcliffe (R2) and difference of volume percent (Dv). The R2 and Dv values were found equal to 0.95 and 2.07 percent in the calibration period and equal to 0.86 and 4.81 percent in the validation period for Galinak hydrometric station. The results show that the model proved to be an excellent alternative, performing high-quality daily snowmelt runoff prediction.
The purpose of this study was to evaluate the Snowmelt Runoff Model (SRM) to estimate of daily runoff at Galinak hydrometric station in Taleghan watershed, Iran. In this study, the input variables of the model such as hydrology and meteorology variables and physical condition of the catchment area were calculated and a total of 72 pass from satellite images of MODIS was used to determine the snow cover area. Comparison of measured and calculated hydrographs was carried out using the efficiency coefficient of Nash-Sutcliffe (R2) and difference of volume percent (Dv). The R2 and Dv values were found equal to 0.95 and 2.07 percent in the calibration period and equal to 0.86 and 4.81 percent in the validation period for Galinak hydrometric station. The results show that the model proved to be an excellent alternative, performing high-quality daily snowmelt runoff prediction.
The purpose of this study was to evaluate the Snowmelt Runoff Model (SRM) to estimate of daily runoff at Galinak hydrometric station in Taleghan watershed, Iran. In this study, the input variables of the model such as hydrology and meteorology variables and physical condition of the catchment area were calculated and a total of 72 pass from satellite images of MODIS was used to determine the snow cover area. Comparison of measured and calculated hydrographs was carried out using the efficiency coefficient of Nash-Sutcliffe (R2) and difference of volume percent (Dv). The R2 and Dv values were found equal to 0.95 and 2.07 percent in the calibration period and equal to 0.86 and 4.81 percent in the validation period for Galinak hydrometric station. The results show that the model proved to be an excellent alternative, performing high-quality daily snowmelt runoff prediction.