Abstract
Simulation and modeling the stream flow provide major data while it is a challenge in mountainous basins with regard to the important role of snowmelt runoff as well as the data scarcity in these places. The main purpose of this paper is to examine the capability of an integrated application of remote sensing data and Snowmelt Runoff Model (SRM) to simulate scheme of daily stream flow in the snow-dominated catchment, located in the North-East region of Iran. The main parameters of the model are Snow Cover Area (SCA), temperature and participation. Regarding to the lack of measured data, the input variable and parameters of the model are extracted or estimated based on accessible maps, satellite data and available meteorological and hydrological stations. The changes of snow-cover, as spatial-temporal data, which are the most effective variable in performance of SRM, are obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) eight-day composite snow cover images. The evaluation of the model application efficiency was tested by the coefficient of determination and the volume difference, which are 0.85% and -4.6% respectively. The result depicts the relative capability of SRM though it is evident that the more accurate the estimation of model parameters, the more efficient simulation results can be obtained.
Highlights
Monitoring snow distribution in mountainous basins and understanding snow processes are imperative to accurate stream flow simulation which is of great significance to optimal water resources management and planning
Accurate simulation and forecast of snowmelt runoff have been the key factors to plan and develop in semi-arid catchments where mountain-fed rivers are of great importance to provide secure water resources
The practicality of Snowmelt Runoff Model (SRM), in a snow-dominated mountainous basin in a semi-arid climate condition was examined in this paper
Summary
Monitoring snow distribution in mountainous basins and understanding snow processes are imperative to accurate stream flow simulation which is of great significance to optimal water resources management and planning. Sadeghian makes it possible to provide the most accurate snow cover information which can be applied for snowmelt runoff modeling, creating more reliable results in terms of river flow simulation and forecast. These products provide the most significant parameter for the Snowmelt Runoff Model (SRM) which was developed by Martinecin 1975 for small European basins and has been most widely used both in simulation and forecast [1]. Since the various applications of SRM mainly differ in the selection of data sources, determination and calculation of parameters, this study has aimed at examining the adaptability of the model structure based on the availability of the variable and estimation of parameters for a semi-arid mountainous basin in East North of Iran
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