Preprints
https://doi.org/10.5194/egusphere-2026-5906
https://doi.org/10.5194/egusphere-2026-5906
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Glacial Lake Outburst Flood Hazard Assessment in the Upper Indus Basin, Ladakh Himalaya Using Remote Sensing and Hydrodynamic Modeling

Jigmet Angmo

Abstract. The Indian Himalayan Region (IHR), often called the “Third Pole,” contains the largest concentration of glaciers and perennial snow outside the polar regions and is highly sensitive to climate change. Rapid glacier retreat has accelerated the formation and expansion of glacial lakes, increasing the likelihood of Glacial Lake Outburst Floods (GLOFs). This study presents a multi-site GLOF hazard assessment of four glacier-fed lakes associated with the Gya, Raru, and Panikhar glaciers in the Upper Indus Basin, Ladakh. Spatio-temporal lake-area changes were mapped using Sentinel-2 imagery and geographic information system (GIS) techniques, while lake depth and volume were estimated using empirical relationships supported by digital elevation model analysis. Dam-break simulations using the Hydrologic Engineering Center’s River Analysis System (HEC-RAS) were conducted for 25 %, 50 %, 75 %, and 100 % lake-volume release scenarios for the Gya, Raru, and Panikhar lakes. Simulation outputs provided peak discharge, flow velocity, flood depth, and inundation extent. Results show that worst-case scenarios could affect downstream infrastructure such as bridges and roads, whereas the Rumbak lake poses limited hazard potential because of its low volume and natural moraine buffering. The hazard maps developed in this study support risk prioritization, early-warning planning, and climate-resilient disaster management in the Indian Himalaya.

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Jigmet Angmo

Status: open (until 19 Nov 2026)

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Jigmet Angmo
Jigmet Angmo
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Latest update: 08 Oct 2026
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Short summary
This study assesses glacial lake outburst flood (GLOF) hazard for three glacier-fed lakes, Gya, Raru and Panikhar, in the Upper Indus Basin, Ladakh. Lake-area change was mapped with Sentinel-2 imagery and GIS, and lake volume was estimated using empirical relationships. Two-dimensional HEC-RAS dam-break simulations for 25–100 % volume-release scenarios gave peak discharge, flow velocity, flood depth and inundation extent. Worst-case floods could damage downstream bridges and roads.
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