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Modeling Snow and Glacier Melt Runoff in the Beas River Basin Using SRM Degree Day
The runoff from snow and glacier melt is one of the most important sources of freshwater for the ever-present Himalayan Rivers. Satellite imagery and Geographic Information System (GIS) tools like Digital Elevation Model (DEM) and simulation models have been highly useful in figuring out and connecting between theoretical concepts and actual conditions in hilly and difficult-to-reach places. The present study uses a variety of geospatial tools, including Remote Sensing (RS), GIS, and the snowmelt runoff model (SRM), to estimate snow and glacier melt runoff in the Beas River basin of the Western Himalayas. This research used Landsat-8 snow cover data, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) DEM, GIS, and ultimately the Windows Version of the Snowmelt Runoff Model (WinSRM) to estimate the snow and glacier melt runoff in the Beas River basin up to Pandoh Dam. The SRM has been done using hydro-meteorological data from the years 2013 to 2015. Remote sensing data was utilized to calculate the Beas River's temporal Snow Cover Area (SCA) from 2013 to 2015, and DEM was used to identify elevation zones and aspect maps. The findings showed that there is little difference between the calculated runoff (772.51 m3/s) and the observed runoff (802.47 m3/s). The data analysis shows that the SRM model is the most effective method for calculating runoff from snow and glacier melt in mountainous regions. For the period of April 2013 to October 2015, the overall coefficient of correlation (R2) accuracy of SRM for a portion of the Beas River basin is 0.77. Snowmelt accounts for around 6.68% of the total stream flow at Pandoh Dam in the Beas River basin.
Modeling Snow and Glacier Melt Runoff in the Beas River Basin Using SRM Degree Day
The runoff from snow and glacier melt is one of the most important sources of freshwater for the ever-present Himalayan Rivers. Satellite imagery and Geographic Information System (GIS) tools like Digital Elevation Model (DEM) and simulation models have been highly useful in figuring out and connecting between theoretical concepts and actual conditions in hilly and difficult-to-reach places. The present study uses a variety of geospatial tools, including Remote Sensing (RS), GIS, and the snowmelt runoff model (SRM), to estimate snow and glacier melt runoff in the Beas River basin of the Western Himalayas. This research used Landsat-8 snow cover data, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) DEM, GIS, and ultimately the Windows Version of the Snowmelt Runoff Model (WinSRM) to estimate the snow and glacier melt runoff in the Beas River basin up to Pandoh Dam. The SRM has been done using hydro-meteorological data from the years 2013 to 2015. Remote sensing data was utilized to calculate the Beas River's temporal Snow Cover Area (SCA) from 2013 to 2015, and DEM was used to identify elevation zones and aspect maps. The findings showed that there is little difference between the calculated runoff (772.51 m3/s) and the observed runoff (802.47 m3/s). The data analysis shows that the SRM model is the most effective method for calculating runoff from snow and glacier melt in mountainous regions. For the period of April 2013 to October 2015, the overall coefficient of correlation (R2) accuracy of SRM for a portion of the Beas River basin is 0.77. Snowmelt accounts for around 6.68% of the total stream flow at Pandoh Dam in the Beas River basin.
Modeling Snow and Glacier Melt Runoff in the Beas River Basin Using SRM Degree Day
Lecture Notes in Civil Engineering
Dutta, Subashisa (editor) / Chembolu, Vinay (editor) / Rongali, Gopinadh (author) / Keshari, Ashok K. (author) / Khosa, Rakesh (author) / Gosain, Ashvani K. (author)
International Conference on River Corridor Research and Management ; 2022
2023-08-18
12 pages
Article/Chapter (Book)
Electronic Resource
English
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