What is it about?
The most detailed information on the dynamics of snow avalanches is gained from (difficult and expensive) experiments at a handful of avalanche test sites in the entire world. However, astonishingly much can be learnt from simple field observations if they are properly analyzed. We demonstrate this with three powder-snow avalanche events―ranging from medium-sized to extremely large―that occurred in the Swiss Alps in early 1995. In each case, three clearly different types of avalanche deposits were found. This suggests that powder-snow avalanches not only have a dense core and a dilute suspension layer, but also a part of intermediate density, which we call fluidized flow regime. The order of magnitude of the densities and velocities of the three flow regimes could be estimated by combining the available observations and analyzing them in simple ways. For example, the run-up height of the powder-snow cloud can be very large, but only if its density is not too high. The damage pattern (and also the absence of damage) provides bounds on the pressure and―when combined with information on the density―velocity. Interestingly, later full-scale experiments have confirmed these estimates. An interesting and useful result from these observations and a number of other avalanches investigated later is that the speed of the dense core of dry mixed snow avalanches is about half of the speed of the fluidized layer
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Why is it important?
The fact that much useful qualitative and semi-quantitative information can be extracted from simple field observations opens the door for learning about the dynamics of mixed dry-snow avalanches not only through the relatively few measurements at the very few existing test sites, but also from a large number of events in a much wider variety of avalanche paths. This is, in particular, valuable if one wants to understand the statistical properties of these avalanches.
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This page is a summary of: Inferences on Mixed Snow Avalanches from Field Observations, Geosciences, December 2019, MDPI AG,
DOI: 10.3390/geosciences10010002.
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