Journal article

Modelling glacier-bed overdeepenings and possible future lakes for the glaciers in the Himalaya—Karakoram region

  • Linsbauer, Andreas Department of Geography, University of Zürich, Switzerland - Department of Geosciences, University of Fribourg, Switzerland
  • Frey, H. Department of Geography, University of Zürich, Switzerland
  • Haeberli, Wilfried Department of Geography, University of Zürich, Switzerland
  • Machguth, Horst Centre for Arctic Technology, Danish Technical University, Lyngby, Denmark
  • Azam, M. F. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India - IRD/UJF – Grenoble I, France
  • Allen, S. Department of Geography, University of Zürich, Switzerland - Institute of Environmental Sciences, University of Geneva, Switzerland
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    2016
Published in:
  • Annals of Glaciology. - 2016, vol. 57, no. 71, p. 119–130
English Surface digital elevation models (DEMs) and slope-related estimates of glacier thickness enable modelling of glacier-bed topographies over large ice-covered areas. Due to the erosive power of glaciers, such bed topographies can contain numerous overdeepenings, which when exposed following glacier retreat may fill with water and form new lakes. In this study, the bed overdeepenings for ~28 000 glaciers (40 775 km²) of the Himalaya-Karakoram region are modelled using GlabTop2 (Glacier Bed Topography model version 2), in which ice thickness is inferred from surface slope by parameterizing basal shear stress as a function of elevation range for each glacier. The modelled ice thicknesses are uncertain (±30%), but spatial patterns of ice thickness and bed elevation primarily depend on surface slopes as derived from the DEM and, hence, are more robust. About 16 000 overdeepenings larger than 10⁴m² were detected in the modelled glacier beds, covering an area of ~2200 km² and having a volume of ~120km³ (3-4% of present-day glacier volume). About 5000 of these overdeepenings (1800 km²) have a volume larger than 10⁶m³. The results presented here are useful for anticipating landscape evolution and potential future lake formation with associated opportunities (tourism, hydropower) and risks (lake outbursts).
Faculty
Faculté des sciences et de médecine
Department
Département de Géosciences
Language
  • English
Classification
Hydrology
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/305426
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