It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Waves are omnipresent in avalanches on Earth and other planets. The dynamic nature of waves makes them dangerous in geological hazards such as debris flows, turbidity currents, lava flows, and snow avalanches. Extensive research on granular waves has been carried out by using theoretical and numerical approaches with idealized assumptions. However, the mechanism of waves in realistic complex situations remains intangible, as it is notoriously difficult to capture complex granular waves on real terrain. Here, we leverage a recently developed hybrid Eulerian-Lagrangian numerical scheme and an elastoplastic constitutive model to investigate the processes involved in waves of snow avalanches, including erosion, deposition, and flow instability induced by terrain irregularity. This enables us to naturally simulate roll-waves, erosion-deposition waves, and their transitions in a single large-scale snow avalanche on real terrain. Simulated wave features show satisfactory consistency with field data obtained with different radar technologies. Based on a dimensionless analysis, the wave mechanics is not only controlled by the Froude number and local topography but also by the mass of the wave which governs the entrainment propensity. This study offers new insights into wave mechanisms of snow avalanches and provides a novel and promising pathway for exploring transient waves in granular mass movements.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details




1 Tongji University, Department of Geotechnical Engineering, College of Civil Engineering, Shanghai, China (GRID:grid.24516.34) (ISNI:0000 0001 2370 4535)
2 WSL Institute for Snow and Avalanche Research, SLF, Davos, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533)
3 The University of Manchester, Department of Mathematics and Manchester Centre for Nonlinear Dynamics, Manchester, UK (GRID:grid.5379.8) (ISNI:0000 0001 2166 2407)
4 WSL Institute for Snow and Avalanche Research, SLF, Davos, Switzerland (GRID:grid.419754.a) (ISNI:0000 0001 2259 5533); ETH Zurich, Institute for Geotechnical Engineering, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); Climate Change, Extremes, and Natural Hazards in Alpine Regions Research Center CERC, Davos, Switzerland (GRID:grid.5801.c)