Item: How to Improve Snow Avalanche Observation Quality?
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Title: How to Improve Snow Avalanche Observation Quality?
Proceedings: International Snow Science Workshop 2014 Proceedings, Banff, Canada
Authors:
- Bonnefoy-Demongeot M. [ Irstea, UR ETGR Erosion torrentielle neige et avalanches, Saint Martin d'Heres, France ] [ Univ. Grenoble Alpes, Grenoble, F-38041, France ]
- Robinet J. [ Irstea, UR ETGR Erosion torrentielle neige et avalanches, Saint Martin d'Heres, France ] [ Univ. Grenoble Alpes, Grenoble, F-38041, France ]
- Bouilloux J. [ Irstea, UR ETGR Erosion torrentielle neige et avalanches, Saint Martin d'Heres, France ] [ Univ. Grenoble Alpes, Grenoble, F-38041, France ]
- Bourova E. [ Irstea, UR ETGR Erosion torrentielle neige et avalanches, Saint Martin d'Heres, France ] [ Univ. Grenoble Alpes, Grenoble, F-38041, France ]
- Richard D. [ Irstea, UR ETGR Erosion torrentielle neige et avalanches, Saint Martin d'Heres, France ] [ Univ. Grenoble Alpes, Grenoble, F-38041, France ]
Date: 2014-09-29
Abstract: Snow avalanches are a major natural hazard concerning mountainous areas around the world. Each winter in many countries, human life and land-use planning depend on enduring risk management and avalanche forecasting. At present, it's difficult to accurately predict a single avalanche event in terms of both location and time of event (Schweizer, 2003). It is also challenging to take into account the impact of climate change (Robinet, 2013). Methods employed for avalanche zoning and warning strongly depend on the reliability of input data (Bonnefoy, 2010). There are several avalanche databases that exist in France as well as in other countries worldwide. Avalanche records are more or less realistic, sometimes based on observations or from measurements or statistical or numerical models. There is no international standard established for avalanche event recording and mapping. A practical analysis has been realized in order to know state-of-the-art and to ask appropriate questions. We propose an overview of means to collect, validate and centralize avalanche knowledge with heterogeneous sources and for various uses.
Object ID: ISSW14_paper_P3.07.pdf
Language of Article: English
Presenter(s):
Keywords: snow avalanche, acquiring knowledge, database, mapping, data quality
Page Number(s): 938-945
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