2018
DOI: 10.1139/cgj-2016-0578
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Back-analysis of geophysical flows using three-dimensional runout model

Abstract: Predicting the mobility and delineating the extent of geophysical flows remains a challenge for engineers. The accuracy of predictions hinges on the reliability of input parameters of runout models. Currently, limited field data for landslide case histories are available for benchmarking the performance of runout models. Key rheological parameters, such as the equivalent internal friction angle, cannot be measured directly using laboratory experiments and must instead be determined through back-analyses. A ser… Show more

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Cited by 30 publications
(2 citation statements)
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“…This is especially pertinent since the clay content of submarine debris flows is expected to change from the initiation of a submarine landslide to its final deposition. Without rational rheological models that can capture the effects of clay content, then the practical value of numerical tools for vulnerability assessments will be limited (Koo et al., 2018).…”
Section: Discussionmentioning
confidence: 99%
“…This is especially pertinent since the clay content of submarine debris flows is expected to change from the initiation of a submarine landslide to its final deposition. Without rational rheological models that can capture the effects of clay content, then the practical value of numerical tools for vulnerability assessments will be limited (Koo et al., 2018).…”
Section: Discussionmentioning
confidence: 99%
“…However, knowledge of the runout and lateral deposition of such flows is essential. 2D runout simulation models have proven to be suitable tools for creating detailed delineation of typical mass movement deposits in torrent catchments, e.g., in [6][7][8][9][10][11], supporting the development of hazard maps and the estimation of process parameters for the design of protective measures [12]. However, the a priori estimation of process parameters as well as the magnitude of hillslope processes is typically associated with large uncertainties.…”
Section: Introductionmentioning
confidence: 99%