Numerical modelling
EU Contract no. EVG1-CT2002-00059

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  Statistical Avalanche Modelling Procedures
  • Statistical models estimate extreme run-out distances for simple topographies, based on a sample set of avalanche observations. Many of the models of this type were developed by members of SATSIE (Lied and Bakkehøi, 1980; McClung and Lied, 1987; Keylock et al., 1999). Although they permit the estimation of the probable extent of extreme avalanches, they do not provide any information on velocities or impact pressures.
  • Hence, they cannot be used to determine the optimal construction of avalanche dams or to produce avalanche hazard zones, which require information on both runout distance and pressures.
Traditional Dynamics Models Modelling the Avalanche Powder Cloud
  • The models already discussed focus their attention on the flowing part of the avalanche. However, above this there is often a saltation layer and powder cloud. These layers may be of great importance for hazard zoning because the powder cloud, although much less dense, may travel farther and faster than the denser snow nearer the ground.
  • Models for the powder cloud have been developed by SATSIE project members (Naaim et al., 1995; Issler, 1998). However, an important outstanding question is how these models can be coupled to a description of the flowing part of the avalanche. Such a scheme will probably need to resolve the conditions within the transitional saltation layer. Ping-pong ball experiments undertaken in Japan (McElwaine and Nishimura, 1998) have shown that the velocity of the flow scales with the number of particles and may give some clues as to how this layer behaves.
  • Developing a fully-coupled avalanche model is also important for resolving issues such as the mass-balance of the avalanche. For example, can a well-developed powder cloud and saltation layer moving ahead of the flowing part of the avalanche erode snow from the bed and starve the latter of mass? Under what conditions does the entrainment of snow into the flowing layer from the bed balance that lost into suspension? It is clear that more sophisticated modelling approaches are needed to resolve these questions.
Alternative Approaches
  • In the last fifteen years there has been a proliferation of approaches to modelling the dynamics of snow avalanches. Many of these are reviewed by Harbitz (1998). Perhaps the two most important for the flowing part of the avalanche are methods based on the Savage-Hutter theory (Savage and Hutter, 1989; Gray et al., 1999) and the Norwegian approach (Norem et al., 1987) that models the avalanche with a Criminale-Erickson-Filbey rheology. As part of the SATSIE project efforts will be made to determine the best way to develop the next generation of avalanche dynamics models. Both of these new approaches are important avenues to explore.
References
  • Barbolini M., Gruber U., Keylock C.J., Naaim N. and Savi F. 2000. Application of statistical and hydraulic-continuum dense-snow avalanche models to 5 real European sites. Cold Regions Science and Technology, 31, 133-149.
  • Barbolini, M. and Keylock, C.J. 2002. A new method for avalanche hazard mapping using a combination of statistical and deterministic models, Natural Hazards and Earth System Sciences 2, 3/4, 239-245
  • Bartelt, P., Salm, B. and Gruber, U. 1999. Calculating dense-snow avalanche runout using a Voellmy-fluid model with active/passive longitudinal straining, Journal of Glaciology, 45, 150, 242-254
  • Gray J.M.N.T., Wieland W. and Hutter K. 1999. Gravity-driven free surface flow of granular avalanches over complex basal topography, Proceedings of the Royal Society of London, Series A, 455, 1841-1874.
  • Harbitz C.B. (ed). 1998. EU Programme SAME: A survey of computational models for snow avalanche motion. NGI report no. 581220-1. 127 pp.
  • Issler, D. 1998. Modelling of snow entrainment and deposition in powder snow avalanches. Annals of Glaciology 26, 253-258.
  • Keylock C.J. and Barbolini M. 2001. Snow avalanche impact pressure/vulnerability relations for use in risk assessment, Canadian Geotechnical Journal, 38, 227-238.
  • Keylock C.J., McClung D.M. and Magnusson M.M. 1999. Avalanche risk by simulation. Journal of Glaciology, 45, 303-314.
  • Lied, K. and Bakkehøi, S. 1980. Empirical calculations of snow-avalanche run-out distance based on topographic parameters. Journal of Glaciology, 26, No. 94, 165-177.
  • McClung, D.M. and Lied, K. 1987. Statistical and geometrical definition of snow avalanche runout. Cold Regions Science and Technology, 13, 107-119.
  • McElwaine, J and Nishimura, K. 2001. Ping-pong ball avalanche experiments. Annals of Glaciology 32, 241-250.
  • Moskalev, J.D. 1977. The dynamics of snow avalanches and avalanche calculations. Leningrad (in Russian). 232 pp.
  • Naaim, M. 1995. Modélisation numérique des avalanches aérosols, La Houille Blanche, 5/6, 56-62.
  • Naaim, M. and Ancey, C. 1992. Dense avalanche model. European Summer University, Chamonix, Cemagref Publications, 173-181.
  • Natale, L., Nettuno, L., and Savi, F. 1994. Numerical simulation of snow dense avalanche: an hydraulic approach. Proceedings of the 24th Annual Pittsburg International Conference on modelling and simulations, Pittsburg (IASTED 1994).
  • Norem H., Irgens F. and Schieldrop B. 1987. A continuum model for calculating snow avalanche velocities, in Avalanche formation, movement and effects (proceedings of the Davos symposium, September 1986). IAHS publication no. 162, 363-379
  • Perla, R.I., Cheng, T.T. and McClung, D.M. 1980. A two-parameter model of snow avalanche motion. Journal of Glaciology 26, 197-207.
  • Salm, B., Burkard, A., and Gubler, H.U. 1990. Berechnung von Fliesslawinen; eine Anleitung für Praktiker mit Beispielen. Mitteilungen des Eidgenössischen Institutes für Schnee und Lawinenforschung, No. 47, Davos.
  • Savage, S.B. and Hutter, K. 1989. The motion of a finite mass of granular material down a rough incline, Journal of Fluid Mechanics, 199, 177-215.
  • Voellmy, A. 1955. Über die Zerstörungskraft von Lawinen. Schweiz. Bauzeitung 73, 159-165, 212-217, 246-249, 280-285.
 

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