Natural Hazards

, Volume 79, Issue 2, pp 855–880 | Cite as

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

  • F. GauthierEmail author
  • B. Hétu
  • M. Allard
Original Paper


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 degreedays (DDmelt). 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 DDmelt 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.


Ice blocks fall Ice avalanche Logistic regression Degree–day Predictive model 

List of symbols


Melting degree–days (°C day)


Squared DDmelt (°C2 day2)


Positive degree–days (°C day)


Squared DDp (°C2 day2)


Daily temperature range (°C)


Cooling or freezing intensity (°C)


Daily freeze–thaw cycle


Growth index (mm °C)


Daily liquid precipitation (mm)


Two-day antecedent daily liquid precipitation (mm)


Three-day antecedent daily liquid precipitation (mm)


Total solid precipitation of November and December in water equivalent (mm W.E.)


Daily precipitation in water equivalent (mm W.E.)


Daily mean maximum temperatures (°C)


Daily mean temperatures (°C)


Daily minimum temperatures (°C)


Average temperature of December, January and February (°C)



This research was made possible through the research funding of the Natural Sciences and Engineering Research Council of Canada (NSERC). We would also like to thanks the M.T.Q. Landslide section for their financial contribution to this study. The authors also wish to thank the staff of the M.T.Q. Service Centre in Sainte-Anne-des-Monts for their sincere and dedicated collaborations.

Supplementary material

Supplementary material 1 (MPG 26494 kb)

Supplementary material 2 (MPG 22171 kb)


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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Département de biologie, chimie et géographie, Centre d’études nordiquesUniversité du Québec à RimouskiRimouskiCanada
  2. 2.Département de géographie, Centre d’études nordiquesUniversité LavalQuébecCanada

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