Item: Local Avalanche Danger Assessment in reduced means context: an example in Tetnuldi ski area (Georgia - Caucasus)
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Title: Local Avalanche Danger Assessment in reduced means context: an example in Tetnuldi ski area (Georgia - Caucasus)
Proceedings: International Snow Science Workshop Proceedings 2018, Innsbruck, Austria
Authors:
- Sébastian Escande [ French National Association for Snow and Avalanche Study (ANENA), 15 Rue Ernest Calvat, 38000 Grenoble - FRANCE ]
- Jean Christophe Lapalus [ Compagnie des Alpes Management CDAM Deux-Alpes Loisir, 38860 Les Deux-Alpes, FRANCE ]
- Frédéric Marion [ Compagnie des Alpes Management (CDAM) International, 50-52 bd Haussmann75009 Paris - FRANCE ]
Date: 2018-10-07
Abstract: The development of Georgians ski resort involves several skills, including local avalanche danger assessment. Human organization and financial context limit possibilities of the Georgian ski resort to simple but efficient solutions. A technical cooperation between Anena and CDAM (Compagnie des Alpes Management) lead to this goal through a training program during winter 2017- 2018 in Tetnuldi (Georgia - Svanetia). We have developed a method suitable for Georgian ski patrollers team to assess an avalanche risk level and communicate it to their guest. The logic adopted is to rely for the different stages of the process on existing international tools: from Switzerland (Avalanche Problems Analyzer) and Canada (ATES classification of the terrain : simple, challenging, complex). A specific synthesis grid « local Avalanche Danger Assessment » have been built on three criteria: what avalanche Problem? (for everyone, a ranking from favorable to unfavorable - green: risky 1 to red: risky 4), where are the problems located (for each situation: aspect, elevation, particular configuration), observable (local observations: avalanche activity, accumulations).
Object ID: ISSW2018_P11.10.pdf
Language of Article: English
Presenter(s):
Keywords: Avalanche Danger Assessment tools, risk management Education, avalanche terrain classification
Page Number(s): 1083-1087
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