Item: Using Spatially Distributed Statistical Models for Avalanche Runout Estimation
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Title: Using Spatially Distributed Statistical Models for Avalanche Runout Estimation
Proceedings: International Snow Science Workshop 2016 Proceedings, Breckenridge, CO, USA
Authors:
- Andreas Huber [ Austrian Research Centre for Forests, Innsbruck, Austria ]
- Jan-Thomas Fischer [ Austrian Research Centre for Forests, Innsbruck, Austria ]
- Andreas Kofler [ Austrian Research Centre for Forests, Innsbruck, Austria ]
- Karl Kleemayr [ Austrian Research Centre for Forests, Innsbruck, Austria ]
Date: 2016-10-02
Abstract: State of the art physical-dynamical avalanche models are a commonly used tool in avalanche research and practice. Research and practical experience have shown that an accurate assessment of input parameters (boundary conditions, friction parameters, numerical settings) is required for the application of these models. Along with the computational effort when covering large areas, these factors limit the applicability of sophisticated physically-based models for regional-scale studies. In recent years simple spatially distributed models with limited input parameter requirements have been successfully applied to regional-scale case studies on different gravitational mass movement processes (rockfall, landslides, debris-flows). These models often combine a one dimensional empirical or simple physically-based method for estimation of process intensities along a predefined longitudinal profile with different hydrologically-based algorithms for flow propagation and spreading. This approach allows the two dimensional application of the one dimensional models to terrain, represented by raster elevation models. However, publications on the application to snow avalanches have been scarce in comparison to other mass movement processes. We present an application of a simple, spatially distributed empirical model for snow avalanche runout estimation to different avalanche paths in Austria and discuss the possibilities and limitations of the employed approach.
Object ID: ISSW16_P4.38.pdf
Language of Article: English
Presenter(s):
Keywords: avalanche, avalanche modeling, raster-based modeling, regional-scale, hazard-indicator maps
Page Number(s): 1330-1335
Subjects: avalanche modeling hazard-indicator maps avalanche
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