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Link between molards and permafrost degradation: an experimental study

Authors :
Meven Philippe
Olivier Bourgeois
Costanza Morino
Susan J. Conway
Marianne Font-Ertlen
Laboratoire de Planétologie et Géodynamique [UMR 6112] (LPG)
Université d'Angers (UA)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST)
Université de Nantes (UN)-Université de Nantes (UN)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Université de Caen Normandie (UNICAEN)
Normandie Université (NU)
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])
ANR-19-CE01-0010,Permolards,Les molards, marqueurs de l'évolution de la dégradation du pergélisol de montagne(2019)
Source :
European Geosciences Union General Assembly, European Geosciences Union General Assembly, Apr 2021, Online, France. ⟨10.5194/egusphere-egu21-8268⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Molards are cones of loose debris, from ~ 50 cm to ~ 15 m in height, and are the remnants of formerly ice-cemented blocks that moved within a landslide, then degraded progressively (e.g., [1]). Thus, presence of molards in landslide deposits implies an involvement of both ice-cemented and non-ice-cemented ground within the mass movement, and so the presence of an area of discontinuous permafrost at the level of the detachment zone. Permafrost is frozen or unfrozen ground that remains < 0°C for at least two consecutive years, and it can be sensitive to temperature variations [2]. Increasing temperatures can cause its degradation, which can create areas of discontinuous permafrost and enhance slope instability (e.g. [3]), which represents a threat for populations in polar and mountainous regions [4]. Therefore, accurately identifying areas of discontinuous permafrost is a contemporary challenge for assessments of the state and evolution of permafrost, and for understanding landslide-related hazards to protect local populations. In this context, we will carry out physical modelling of the degradation of initial ice-cemented blocks made of sediments into molards. The M2C laboratory contains two cold rooms – the largest one > 12 m² – that can go down to -20°C, allowing near-field-scale simulations to be performed. We are developing an experimental protocol that consists in freezing mixes of sediment and water in 30 cm cubes, and then observing their degradation under controlled conditions. We identified grain size of the sediment and its ice content as the main two parameters that should influence the degradation process. Therefore, we will vary these parameters in the first series of experiments. We will observe the degradation processes that occur (e.g. grain falls, gravitational collapses, debris flows) using video cameras. The thaw-front propagation will be monitored by thermocouples within the frozen blocks. An array of time-lapse cameras will be used to produce time series of elevation models to monitor the 3D morphological evolution from blocks to molards. Air temperature and humidity will be monitored. Data on grain size, ice content, degradation processes and temperature/humidity will be used to calibrate a numerical model, which will allow us to explore a parameter space inaccessible/impractical for the laboratory (e.g. bigger scales, or realistic diurnal/seasonal thermal cycles). The final 3D shape (e.g. height, slope, basal area covered) of experimental molards should vary according to the initial parameters (i.e. grain size and ice content) and these measurements will inform the criteria used to distinguish molards from other similar landforms, such as hummocks or hummocky moraine, in the field and/or from remote sensing data. Acknowledgements: authors thank the Agence Nationale de la Recherche for funding the ANR-19-CE01-0010 PERMOLARDS project, which supports this experimental work. References: [1] Morino C. et al. (2019) EPSL 516, 136-147. [2] Hinzman L. D. et al. (2005) Climate Change 72, 251-298. [3] Dramis F. et al. (1995) PPP 6, 73-82. [4] Saemundsson Þ. et al. (2003) In: Rickenman, D., Chen, C.I. (Eds.), Debris-Flow Hazards Mitigation: Mechanics, Prediction, and Assessment. 1, pp. 167–178.

Details

Language :
English
Database :
OpenAIRE
Journal :
European Geosciences Union General Assembly, European Geosciences Union General Assembly, Apr 2021, Online, France. ⟨10.5194/egusphere-egu21-8268⟩
Accession number :
edsair.doi.dedup.....4f66f19426841c15792e1d0810a386db