Abstract
The runoff from the Indian Himalayan Region (IHR) acts as a vital source of water, and therefore, estimation of runoff from snowmelt is very important. This study has been done with an objective to evaluate and compare snowmelt runoff for Mago basin in Arunachal Pradesh (Eastern Himalaya) and Alaknanda basin in Uttarakhand (Western Himalaya) using Spatially Distributed Snowmelt Runoff Model (SDSRM) with MODIS data. The performance of SDSRM was found to be satisfactory with model efficiency (ME) greater than 0.65 and R2 greater than 0.7 in both the basins. The temperature was adjusted using temperature lapse rate, and snow parameters like snow density, snow depth, snow water equivalent, degree day factor and snowmelt depth were generated. Comparatively, the Eastern Himalayan basin was found to have higher mean values of these snow parameters than the Western Himalayan basin. The highest contribution of snowmelt runoff in the Eastern Himalayan basin was found to be 31.23% in the month of April and in the Western Himalayan basin, it was found as 44.70% in the month of May. It was also found from this study that snowmelt in both the Eastern and Western Himalayan basins starts from April and continues till September. The snowmelt contribution was comparatively higher in the Western Himalayan basin.
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Acknowledgements
The authors acknowledge the help received from the Department of Science and Technology, Government of India under National Mission for Sustaining the Himalayan Ecosystem and Space Application Centre, Ahmedabad, under PRACRITI-II Hydrology Project. The authors also express sincere thanks to the Central Water Commission, Itanagar, and Central Water Commission, Lucknow, for providing the data used in this study.
Funding
This study was financially supported by the Department of Science and Technology, Government of India, under Climate Change Programme through Grant No. DST/CCP/NHC/154/2018.
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Kiba, L.G., Rajkumari, S., Chiphang, N. et al. Comparison of Snowmelt Runoff from the River Basins in the Eastern and Western Himalayan Region of India using SDSRM. J Indian Soc Remote Sens 49, 2291–2309 (2021). https://doi.org/10.1007/s12524-021-01384-9
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DOI: https://doi.org/10.1007/s12524-021-01384-9