Modelling glacier-bed overdeepenings as sites for possible future lakes in deglaciating landscapes of the French Alps
Autor: | Cathala, M, Magnin, Florence, Linsbauer, A, Haeberli², W |
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Přispěvatelé: | Environnements, Dynamiques et Territoires de la Montagne (EDYTEM), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Magnin, Florence |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
[SDE] Environmental Sciences
Alpes françaises anticipation des aléas naturels [SDE.MCG]Environmental Sciences/Global Changes Deglaciating landscapes potential future lakes surcreusements glaciaires [SDE.ES]Environmental Sciences/Environmental and Society [SDE.MCG] Environmental Sciences/Global Changes Glacier Bed Overdeepenings [SDE]Environmental Sciences futurs lacs potentiels [SDE.ES] Environmental Sciences/Environmental and Society French Alps hazards anticipation Mots clés Déglaciation |
Zdroj: | Géomorphologie : relief, processus, environnement Géomorphologie : relief, processus, environnement, Groupe français de géomorphologie (GFG), 2021, 27 (1) |
ISSN: | 1266-5304 1957-777X |
Popis: | International audience; Glacier retreat results in major landscape changes including the formation of new lakes in Glacier-Bed Overdeepenings (GBOs) that can provoke catastrophic Glacial Lake Outburst Flood (GLOF) hazards, but could also provide economic opportunities. This study aims to identify and characterize the location of potential GBOs in the French Alps as possible sites for future lakes. We first ran GlabTop (Glacier-bed Topography) and GlabTop2 models, two GIS schemes calculating glacier ice thickness and mapping potential GBOs. Their level of confidence is estimated using morphological analysis based on slope angle, crevasse fields and lateral narrowing at bedrock thresholds. 139 GBOs (>0.01km²) were predicted among which 59 have medium to very high confidence. 20 lakes are already forming at the snout of retreating glaciers, including four lakes at predicted GBOs |
Databáze: | OpenAIRE |
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