EGU24-13289, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-13289
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessing the effects of long-term landscape evolution on the overburden of deep repository sites: application to northern Switzerland

Angela Landgraf1, Michael Schnellmann1, Kristin Vogel2, Wolfgang Betz3, Daniel Straub3, Wolfgang Schwanghart4, J Ramon Arrowsmith5, Simon Mudd6, Emma Graf7, Andreas Ludwig1, Florian Kober1, Gaudenz Deplazes1, Urs Fischer1, Jens Becker1, Fabian Maier1, and Frank Scherbaum4
Angela Landgraf et al.
  • 1National Cooperative for the Disposal of Radioactive Waste, Wettingen, Switzerland (angela.landgraf@nagra.ch)
  • 2Bundesanstalt für Materialforschung und -prüfung (BAM), Unter den Eichen 87, 12205 Berlin, Germany
  • 3Eracons GmbH, Athener Straße 44, D-81545 Munich, Germany
  • 4University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Germany
  • 5School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA
  • 6University of Edinburgh, School of Geosciences, Institute of Geography, Drummond Street, Edinburgh, EH8 9XP, United Kingdom
  • 7Registers of Scotland, Meadowbank House, 153 London Road, Edinburgh EH8 7AU, United Kingdom

The safety assessment of radioactive waste repositories requires scenarios and forecasts of the erosional, climatic, and tectonic future evolution. One of the major challenges in the assessment of long-term landscape evolution for safety is that the relevant processes, models and model parameters are subject to a range of significant uncertainties. Assessments should provide the full range of conceivable developments using the best available scientific knowledge. Here, we present an assessment framework for future erosion with a rigorous uncertainty management. The approach anticipates erosion from fluvial, hillslope, and glacial processes over a timescale of 105-106 years. Uncertainties are addressed in a hybrid way, using probabilistic methods in combination with a scenario approach, whereby the chosen scenarios cover a wide range of possibilities. A protocol was followed to derive model parameter uncertainties that respect individual estimates of experts. The entire process is accompanied by a sensitivity analysis. We used the workflow to assess erosion in Northern Switzerland over the next million years. The results serve as input to site a deep geological repository for nuclear waste in Switzerland and to demonstrate its long-term safety.

How to cite: Landgraf, A., Schnellmann, M., Vogel, K., Betz, W., Straub, D., Schwanghart, W., Arrowsmith, J. R., Mudd, S., Graf, E., Ludwig, A., Kober, F., Deplazes, G., Fischer, U., Becker, J., Maier, F., and Scherbaum, F.: Assessing the effects of long-term landscape evolution on the overburden of deep repository sites: application to northern Switzerland, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13289, https://doi.org/10.5194/egusphere-egu24-13289, 2024.