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 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.
Highlights
Across the globe, landslides are triggered by a variety of causes
As an example illustrating the trail of destruction serves the landslide series triggered during Hurricane Mitch in October 1998, which caused tremendous damage and 2000 fatalities in Nicaragua alone [5]
Direct parameters those that are Individual parameters that are used for the here presented analyses are listed in Table 1 and can be measured from longitudinal cross sections (LCS), to longitudinal cross sections sections (TCS), and/or maps published per respective landslide
Summary
Landslides are triggered by a variety of causes. They regularly lead to loss of life and damage, ranging from smaller to greater extent [1,2]. Probability as rupture werecaused made by bya the establishment and consecutive exploration of landslide databases, which be chronologic The latter might be tectonic events (e.g., earthquakes, faultcould ruptures, or volcanic activity), with different triggers over time) event-based (i.e., landslides caused scale by a (e.g., particular events (e.g., heavy rain or storms), and or climatic changes on listing a seasonal or long-term snowmelt triggering event). Scientific work based on landslide databases with respect to the type of activity), meteorological events (e.g., heavy rain or storms), and climatic changes on a seasonal or triggering events is exhaustive, and a full overview would be beyond the scope of this publication. The second part is dedicated to statistical analyses consisting of zones and of correlations between landslide volumes and ratios of single parameters. Theanalyses analyses a general understanding of the statistical of parameters geometrical
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