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Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
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Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
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Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
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Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas
Journal Article

Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas

2024
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Overview
The rivers of the Himalayas heavily rely on the abundance of snow, which serves as a vital source of water to South Asian countries. However, its impact on the hydrological system of the region is mainly felt during the spring season. The melting of snow and consequent base flow significantly contribute to the incoming streamflow. This article examines the evaluation of the proportionate contribution to the total streamflow of Beas River up to Pandoh Dam through the snow melt. To analyze the snow melt, the snowmelt runoff model (SRM) has been utilized via dividing the study area into seven different elevation zones within a range of 853–6582 m and computing the percentage of snow cover, ranging from 15% to 90% across the basin. To validate the accuracy of the model, several metrics, such as coefficient of determination (R2) and volume difference (VD), are utilized. The R2 reveals that over the span of ten years, the daily discharge simulations exhibited efficiency levels ranging from 0.704 to 0.795, with VD falling within the range of 1.47% to 20.68%. This study has revealed that a significant amount of streamflow originates during the summer and monsoon periods, with snowmelt ranging from 10% to 45%. This research provides crucial understanding of the impact of snowmelt on streamflow, supplying essential knowledge on freshwater supply in the area.