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      2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges

      1 , 1
      Canadian Geotechnical Journal
      Canadian Science Publishing

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          Abstract

          Flow-like landslides, such as debris flows and rock avalanches, travel at extremely rapid velocities and can impact large areas far from their source. When hazards like these are identified, runout analyses are often needed to delineate potential inundation areas, estimate risks, and design mitigation structures. A variety of tools and methods have been developed for these purposes, ranging from simple empirical–statistical correlations to advanced three-dimensional computer models. This paper provides an overview of the tools and methods that are currently available and discusses some of the main challenges that are currently being addressed by researchers, including the need for better guidance in the selection of model input parameter values, the challenge of translating model results into vulnerability estimates, the problem with too much initial spreading in the simulation of certain types of landslides, the challenge of accounting for sudden channel obstructions in the simulation of debris flows, and the sensitivity of models to topographic resolution and filtering methods.

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          Most cited references53

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          Global patterns of loss of life from landslides

          D. Petley (2012)
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            Catastrophic Debris Streams (Sturzstroms) Generated by Rockfalls

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              Acoustic fluidization: A new geologic process?

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                Author and article information

                Journal
                Canadian Geotechnical Journal
                Can. Geotech. J.
                Canadian Science Publishing
                0008-3674
                1208-6010
                May 2017
                May 2017
                : 54
                : 5
                : 605-620
                Affiliations
                [1 ]Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver, BC, Canada.
                Article
                10.1139/cgj-2016-0104
                8b745f8b-cfc8-4804-99d9-92eff7b75aac
                © 2017

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