Estimating Daily Stream Flow in the Glacierized Mountainous Kashmir Himalayan Basin

Reyaz Ahmad Dar, Shakil Ahmad Ramshoo

Abstract


The paper describes the integration of remote sensing, and the degree daybased SRM (Snow melt Runoff Model) for estimation of snow melt runoff from the glacierized Lidder basin spread over an area of 1263 Km2. The study involved the use of various data types including Digital Elevation Model (DEM), MODIS satellite images, historical hydro-meteorological data and the field observations. The SRM model simulates daily stream flow in mountainous basins where snowmelt is a major runoff factor. The model was initiated with observed discharge data and run for the hydrological year 2002-2003 using temperature, precipitation and snow covered area. The requisite input model parameters like runoff coefficient, degree-day factor, temperature lapse rate, critical temperature, rainfall contribution area, recession coefficient, lag time were estimated using standard methods. Multi-temporal satellite images from MODIS for the year were used for extraction of snow cover and snow depletion curves for different elevation zones. Stream discharge data was used for calibration and validation of the SRM. The model was run for the entire watershed and the average computed runoff is 9.587(m3/s) compared to the average measured runoff 9.782 (m3/s). The simulations showed good agreement with the observations with the coefficient of determination (R2) of 0.8676.


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