Physically-based catchment-scale prediction of slope failure volume and geometry

B. Van den Bout*, L. Lombardo, Ma Chiyang, C.J. van Westen, V. Jetten

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The application of physically-based approaches for slope failure analysis at a catchment scale remains a difficult challenge, and several new models have been proposed in recent years. The assumptions of these models vary significantly. Tools such as random ellipsoid sampling provide detailed assessment of failure probability but due to numerical cost can not be applied beyond site-investigations. In this research, an iterative method for finding progressive slope failure surfaces is developed. Additionally, this method includes a description of lateral forces that occur due to weight of the fractured failure material. This development extends a similar approach that was developed as part of the OpenLISEM multi-hazard modelling tool. Study cases are presented for a set of hypothetical slopes and the storm-induced disaster that occurred in Messina (Italy), on the first of October 2009. Here, a large number of shallow slope failures transformed into debris flows. The model outcomes are compared with the outcomes of other free and open-source methods that are currently available within the scientific community (Infinite Slope, random ellipsoid sampling (r.slope.stability) and random spheroid sampling (Scoops3D)). Finally, finite element modelling is performed for the hypothetical slopes using ADONIS). Analysis of predicted failures show that the presented method is able to better predict the occurrence of smaller failures but ellipsoid sampling methods provide a more robust option for larger slope failures. Predicted failure surface patterns for the Messina 2009 event show complex variation between rotational and translational geometry depending on the topography. The ability to provide catchment-scale deterministic failure volume and geometry can potentially be used to quantify predicted source volumes during future disasters.

Original languageEnglish
Article number105942
Pages (from-to)1-16
Number of pages16
JournalEngineering geology
Volume284
Early online date12 Feb 2021
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Landslide volumes
  • Physically-based landslide modelling
  • Rainfall-induced landslides
  • Slope failure
  • Slope stability
  • ITC-ISI-JOURNAL-ARTICLE
  • UT-Hybrid-D

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