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Open AccessArticle

Shape and Dimension Estimations of Landslide Rupture Zones via Correlations of Characteristic Parameters

1
Laboratoire SRO, Département GERS, Université Gustave Eiffel, 14–20 Boulevard Newton, 77447 Marne–la–Vallée, France
2
Laboratoire MouvGS, Centre d’études et d’expertise sur les Risques, l’Environnement, la Mobilité et l’Aménagement, 500 Route des Lucioles, 06903 Valbonne-Sophia Antipolis, France
3
Dipartimento di Scienze della Terra & Centro di Ricerca per i Rischi Geologici, Università Sapienza di Roma, Piazzale Aldo Moro 5, 00185 Rome, Italy
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Computer Science Department, Technion—Israel Institute of Technology, Taub Building, Haifa 3200003, Israel
*
Author to whom correspondence should be addressed.
Geosciences 2020, 10(5), 198; https://doi.org/10.3390/geosciences10050198
Received: 7 April 2020 / Revised: 11 May 2020 / Accepted: 12 May 2020 / Published: 21 May 2020
(This article belongs to the Special Issue Seismically Induced Multi-Hazards)
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 work presents statistical analyses correlating dimension-related and shape-related parameters characterizing a rupture zone in 3D to its volume. Dimension-related 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. Furthermore, 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 or for numerical modeling of landslides in 3D. View Full-Text
Keywords: landslide shape; landslide dimension; rupture zone; landslide size estimation; landslide database landslide shape; landslide dimension; rupture zone; landslide size estimation; landslide database
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Domej, G.; Bourdeau, C.; Lenti, L.; Martino, S.; Pluta, K. Shape and Dimension Estimations of Landslide Rupture Zones via Correlations of Characteristic Parameters. Geosciences 2020, 10, 198.

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