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Discussion papers
https://doi.org/10.5194/nhess-2019-240
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2019-240
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 18 Sep 2019

Submitted as: research article | 18 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Shape and dimension estimations of landslide rupture zones via correlations of characteristic parameters

Gisela Domej1, Céline Bourdeau1, Luca Lenti1, and Salvatore Martino2 Gisela Domej et al.
  • 1IFSTTAR/GERS/Sols, Roches et Ouvrages Géotechniques, 14–20 Boulevard Newton, 77447 Marne-a-Vallée, France
  • 2Università di Roma, CERI & Dipartimento di Scienze della Terra, Piazzale Aldo Moro 5, 00185 Rome, Italy

Abstract. For many geotechnical purposes, the proper estimation of shapes and dimensions of landslide rupture zones is of significant importance. Very often this exact delineation is difficult due to the lack of information on rupture zone extents in 3D. Based on a global landslide inventory, this study presents a refined statistical analysis correlating dimension-related and shape-related parameters characterizing a rupture zone in 3D to its volume. Dimension-parameters are approximated by linear regressions increasing with greater volumes, whereas shape-related parameters appear stable throughout the entire range of volumes. Revealing themselves as very stable, these correlations can be used, hence, to extrapolate from a distinct parameter to the volume of a landslide rupture zone. In a second stage, ratios of dimension-related parameters are correlated with rupture zone volumes. Also, this type of correlation delivers very stable results showing that ratios are constant throughout the entire range of volumes. Making use of this ratio consistency, it is possible to deduce one of the two parameters when the other one is given. This latter aspect seems to be promising for remote sensing surveys when initial rupture areas or rupture volumes should be delineated.

Gisela Domej et al.
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Short summary
For assessing landslides, it is of particular interest to delineate their volume. For example, numerical models, as well as GIS procedures, rely on exact delineations to characterize hazard potentials. This work presents parameters describing the dimensions and shapes of landslides. Via stable relations among each other and their relations to initial rupture volumes of landslides, it becomes possible to deduce parameters from each other and to infer volume estimates from given parameters.
For assessing landslides, it is of particular interest to delineate their volume. For example,...
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