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PRJ-3343 | V1.0 Empirical Landslide Runout Relationships, compiled from international examples, for various landslide types
Cite This Data:
Brideau, M., S. de Vilder, C. Massey, A. Mitchell, S. McDougall, J. Aaron (2021). V1.0 Empirical Landslide Runout Relationships, compiled from international examples, for various landslide types. DesignSafe-CI. https://doi.org/10.17603/ds2-9qbx-n796

Authors; ; ; ; ;
Data Type(s)Dataset
Natural Hazard Type(s)Landslide
Date of Publication2021-12-07
Awards
Endeavour Fund: Earthquake Induced Landscape Dynamics | PROP-52007-ENDRP-GNS
Related Work
KeywordsLandslide Runout; Travel distance; Empirical Datasets;
DOI10.17603/ds2-9qbx-n796
License
 Open Data Commons Attribution
Description:

Estimating the potential runout distance of a landslide and it associated impacted area is an important component of landslide hazard and risk analysis. Empirically-based methods rely on the debris inundation area of past landslides of a given type, to estimate the anticipated debris inundation area of future landslides of a similar type This can be done using empirical runout analysis methods, where the travel distance of landslide is proportional to its fall height. The tangent of the ratio of the fall height (ΔH) to horizontal runout distance (L) between the crest of the source zone and toe of the deposit, known as the “Fahrböschung”, has subsequently been correlated with landslide volume (V) for different landslide types. Here we present datasets of ΔH/L, Fahrböschung, and volume data for 1,100 published examples, compiled from the international literature, with different site conditions (e.g., source geology, local topography, grain-size of failed material, water content of source material and erodible material along travel path, vegetation, buildings, the presence (or not) of mitigation measures). This includes rock avalanches, volcanic debris avalanches, (dry and wet) debris avalanches, and debris flows. The data is presented as csv. files containing information on the landslide location, reference source, volume and all available empirical runout data. The data can be plotted, as relationships between ΔH/L and volume, with the variability in the data used to derive probability of runout exceedance lines. Analysis of this data can provide landslide researchers and practitioners simple tools to conduct a forward-looking empirical-probabilistic runout analysis for debris avalanches, debris flows, and rock avalanches.

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