Preprints
https://doi.org/10.5194/egusphere-2025-6247
https://doi.org/10.5194/egusphere-2025-6247
22 Dec 2025
 | 22 Dec 2025
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Analysis of factors influencing rockfall activity with a new method to estimate the release frequency in case of scarce data

Didier Hantz, Michel Jaboyedoff, Christine Moos, Luuk Dorren, Antoine Guerin, Antoine Guillemot, Jean-Pierre Rossetti, and Marc Janeras

Abstract. Understanding the relationship between rockfall release frequency and volume is essential for quantitative hazard and risk analyses. The volume–frequency relationship is usually modelled with a power law distribution determined by an exponent and an activity parameter that can be estimated based on volume distributions from rockfall event inventories. Here, a new method is presented, which allows for the estimation of a confidence interval for the activity parameter, even if the inventory contains a small number of events. It was applied to estimate the spatio-temporal frequency of failures larger than 1 m3 for 22 natural mountain rock walls located in temperate climate zones and below the permafrost area. The obtained frequencies were similar to those given by power law fitting of the inventories. The meta-analysis showed that these frequencies vary by at least three orders of magnitude from 0.01 to 20 yr1.hm2, depending mainly on the geomorphological context of the cliff, the homogeneity of the cliff and the joint spacing. The exponent of the power law varies between 0.3 and 1.0 and tends to be lower for massive rock than for bedded rock. A primary classification is proposed that enables an estimation of the volume–frequency relationship parameters when no inventory is available. More inventories are needed to enhance this classification.

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Didier Hantz, Michel Jaboyedoff, Christine Moos, Luuk Dorren, Antoine Guerin, Antoine Guillemot, Jean-Pierre Rossetti, and Marc Janeras

Status: open (until 02 Feb 2026)

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Didier Hantz, Michel Jaboyedoff, Christine Moos, Luuk Dorren, Antoine Guerin, Antoine Guillemot, Jean-Pierre Rossetti, and Marc Janeras
Didier Hantz, Michel Jaboyedoff, Christine Moos, Luuk Dorren, Antoine Guerin, Antoine Guillemot, Jean-Pierre Rossetti, and Marc Janeras
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Short summary
Quantifying rockfall activity is essential for risk analysis. A new method is presented for estimating the activity, even if the inventory contains a small number of events. It was applied to 22 inventories from natural mountain rock walls in temperate climate zones and below the permafrost area. It appears that the activity varies from 0.01 to 20 failures larger than 1 m3 per year and per square hectometre of cliff, according to the geomorphological and geological features of the cliff.
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