Brief communication: Towards defining the worst-case breach scenarios and potential flood volumes for moraine-dammed lake outbursts

Abstract. Moraine dam failures are the main source of catastrophic glacial lake outburst floods (GLOFs). The effective GLOF disaster risk management requires reliable identification of areas at risk. While predictive outburst flood modelling benefits from advancing tools and computational capacities, some of the fundamental considerations remain poorly addressed. Among them, the outburst flood scenarios are essential yet often oversimplified input for modelling. Here we present novel methodology which enables the estimation of a maximum breach depth and so the calculation of potential flood volume (PFV), with the key parameter being the slope of the breached channel (α) derived from past events.

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Publication Details

Journal
Natural hazards and earth system sciences
Published
2026-08-26
DOI
https://doi.org/10.5194/nhess-26-4045-2026
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Brief communication: Towards defining the worst-case breach scenarios and potential flood volumes for moraine-dammed lake outbursts

Ashim Sattar, Adam Emmer, Jan Hřebřina
Natural hazards and earth system sciences
Flood Risk Assessment and Management
article

Brief communication: Towards defining the worst-case breach scenarios and potential flood volumes for moraine-dammed lake outbursts

Ashim Sattar, Adam Emmer, Jan Hřebřina
article en

Abstract

Abstract. Moraine dam failures are the main source of catastrophic glacial lake outburst floods (GLOFs). The effective GLOF disaster risk management requires reliable identification of areas at risk. While predictive outburst flood modelling benefits from advancing tools and computational capacities, some of the fundamental considerations remain poorly addressed. Among them, the outburst flood scenarios are essential yet often oversimplified input for modelling. Here we present novel methodology which enables the estimation of a maximum breach depth and so the calculation of potential flood volume (PFV), with the key parameter being the slope of the breached channel (α) derived from past events.

Natural hazards and earth system sciencesVol. 26(8)
University of Graz (AT), Norwegian University of Science and Technology (NO), Indian Institute of Technology Bhubaneswar (IN)
Karl-Franzens-Universität Graz
Openalex Percentile: Top 99%
Flood Risk Assessment and Management
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