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Discussion papers | Copyright
https://doi.org/10.5194/esurf-2018-61
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Aug 2018

Research article | 06 Aug 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth Surface Dynamics (ESurf).

Testing a failure surface prediction and deposit reconstruction method for a landslide cluster that occurred during Typhoon Talas (Japan)

Michel Jaboyedoff1, Masahiro Chigira2, Noriyuki Arai2, Marc-Henri Derron1, Benjamin Rudaz1, and Ching-Ying Tsou3 Michel Jaboyedoff et al.
  • 1University of Lausanne, ISTE-FGSE, ISTE, Lausanne, Switzerland
  • 2Disaster Prevention Research Institute, Kyoto University Gokasho, Uji 611 - 0011, Japan
  • 3Department of Agricultural and Environmental Engineering, Faculty of Agriculture and Life Science, Hirosaki, Japan

Abstract. The reconstructions of failure surfaces, prior to potential landslides or after their releases, landslide deposits or other palaeotopographic features are important for hazard and erosion assessment. The volumes involved in the landslide and failure surfaces constrain the propagation of a landslide, and the knowledge of the past topography helps to understand these hazards. Some methods exist to characterise landslide geometry, but these methods usually require monitoring information. This study tries to assess the validity of the Sloping Local Base Level (SLBL) method for this purpose. Two sets of airborne LiDAR digital elevation models (DEMs) of the Kii peninsula (Japan) are used: the first one was acquired before Typhoon Talas, and the second one was acquired after. A total of 70 deep-seated landslides occurred during this event between 2 and 5 September 2011.

This study shows that the SLBL method is efficient using either the slope deformations identifiable on the DEM before the release of the landslide or a reliable 2.5D failure surface created by using both DEMs. In addition, this method allows the reconstruction of eroded deposits and buried valleys. Most of the volumes estimated are within ±35% of the estimation made by Chigira et al. (2013), and the coefficients of expansion range from 10 to 25%. These results show the considerable sensitivity of the landslide volume estimations and demonstrate the need for an efficient and fast tool to reconstruct potential landslide geometries or histories.

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Short summary
High resolution digital elevation models (DEM) can be now frequently acquired using airborne Laser scanner. This allows to analyse in great details the geometry of landslides. Several large landslides were triggered by the Typhoon Talas in Japan in 2011. The comparison of pre- and post-DEM allowed to test a method defining the landslide failure surfaces before the catastrophic movements. It provides new results about the curvature of the failure surface and the volume expansion of the deposit.
High resolution digital elevation models (DEM) can be now frequently acquired using airborne...
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