EGU24-8660, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-8660
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessing landslide risk on a Pan-European scale

Francesco Caleca1, Luigi Lombardo2, Stefan Steger3, Ashok Dahal2, Hakan Tanyas2, Federico Raspini1, and Veronica Tofani1
Francesco Caleca et al.
  • 1Department of Earth Sciences, University of Florence, Florence, Italy (francesco.caleca@unifi.it)
  • 2Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
  • 3Center for Climate Change and Transformation, Eurac Research, Bolzano, Italy

Assessing landslide risk is a fundamental step in planning prevention and mitigation actions in mountainous landscapes. To date, most landslide risk analyses address this topic at the scale of a slope or catchment. Whenever the scale involves regions, nations, or continents, the landslide risk analysis is hardly implemented. To test this theoretical framework, we present a practical case study, represented by the European landscape. In this contribution, we take the main Pan-European mountain ranges and provide an example of risk assessment at a continental scale. We consider challenges like cross-national variations landslide mapping and digital data storage. A two-stepped protocol is developed to identify areas more prone to failure. With this initial information, we then model the possible economic consequences, particularly in terms of human settlements and agricultural areas, as well as the exposed population. The analytical protocol firstly results in an unbiased landslide susceptibility map, which is combined with economic and population data. The landslide risk is presented in both the spatial distribution of possible economic losses and the identification of risk hotspots. The latters are defined through a bivariate classification scheme by combining the landslide susceptibility and exposure of human settlements. Ultimately, the exposed population is represented during the two sub-daily cycles across the study area.

How to cite: Caleca, F., Lombardo, L., Steger, S., Dahal, A., Tanyas, H., Raspini, F., and Tofani, V.: Assessing landslide risk on a Pan-European scale, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8660, https://doi.org/10.5194/egusphere-egu24-8660, 2024.