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Forecasting method of ice blocks fall using logistic model and melting degree–days calculation: a case study in northern Gaspésie, Québec, Canada

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  • F. Gauthier
  • B. Hétu
  • M. Allard

Abstract

Ice blocks fall is a serious natural hazard that frequently happens in mountainous cold region. The ice blocks result from the melting and collapse of rockwall icings (ice walls or frozen waterfalls). Environment Canada weather data were analyzed for 440 cases of ice blocks fall events reported in northern Gaspésie by the “Ministère des Transports du Québec.” The available meteorological variables were used to develop an ice blocks fall forecasting tool. The analysis shows that the ice blocks falls are mainly controlled by an increase in the air temperature above the melting point of ice. The temperature variations and the heat transfer into the ice bodies can be expressed by the melting degree –days (DD melt ). The best logistic model was derived by testing a number of combinations of variables against the database (ice blocks fall events and meteorological data). Feeding this model with the meteorological data and using the recorded evolution of DD melt as a complementary predictive tool allow the forecast of the most hazardous periods on a regional scale, i.e., along the northern Gaspésie roads and on a local scale, i.e., the collapse of some of the most problematic rockwall icings. We also discuss the effects of large daily temperature changes such as drastic drops of temperature below 0 °C and freeze–thaw cycles on the opening of cracks and the collapse of unstable ice structures such as freestanding ice formations. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • F. Gauthier & B. Hétu & M. Allard, 2015. "Forecasting method of ice blocks fall using logistic model and melting degree–days calculation: a case study in northern Gaspésie, Québec, Canada," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 855-880, November.
  • Handle: RePEc:spr:nathaz:v:79:y:2015:i:2:p:855-880
    DOI: 10.1007/s11069-015-1880-x
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    References listed on IDEAS

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    1. F. Gauthier & M. Allard & B. Hétu, 2015. "Ice Wall Growth and Decay: Meteorological Analysis and Modelling," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 26(1), pages 84-102, January.
    2. Sergio Sepúlveda & Cristóbal Padilla, 2008. "Rain-induced debris and mudflow triggering factors assessment in the Santiago cordilleran foothills, Central Chile," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(2), pages 201-215, November.
    3. Wenbo Xu & Wenjuan Yu & Guoping Zhang, 2012. "Prediction method of debris flow by logistic model with two types of rainfall: a case study in the Sichuan, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 733-744, June.
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    Cited by:

    1. Zhijun Zhou & Jiangtao Lei & Shanshan Zhu & Susu Qiao & Hao Zhang, 2019. "The Formation Mechanism and Influence Factors of Highway Waterfall Ice: A Preliminary Study," Sustainability, MDPI, vol. 11(15), pages 1-21, July.

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