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<p>This paper proposes a method for calibrating surface parameters in rockfall trajectory simulations and estimating local rockfall propagation maps. It consists of two phases: (1) a calibration phase that aimed at identifying surface parameter values that best represent field conditions by comparison of 2D trajectory simulations – performed across a wide range of surface parameter values – with rockfall deposits recorded on slope; (2) a phase for estimating local rockfall propagation maps by performing 3D simulations calibrated based on the 2D best-fit results. The practicability and interest of our procedure are illustrated on a real case study, i.e., the Aragnols site (France), where rockfalls threaten the local railway line. Rockfall deposits were recorded from meticulous terrain surveys, while numerical simulations of rockfalls were performed using propagation algorithms from the multi-model Platrock software. Despite remaining limitations, our approach is an efficient method for assessing surface parameters and predicting rockfall runout within reasonable computing time and effort. It represents a promising pathway forward in conducting simulation tasks in a straightforward yet rigorous manner, thereby yielding the data needed for rockfall runout zoning. We therefore recommend, where applicable, including this procedure in future rockfall management strategies.</p>

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Joint use of field investigations and 2D simulations of rockfall trajectories to calibrate surface parameters and generate local propagation maps

  • 期刊论文

  • 发表日期：

    2026年3月3日

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  • Manon Farvacque,
  • Franck Bourrier,
  • Philomène Favier,
  • Francois Chirouze

摘要

This paper proposes a method for calibrating surface parameters in rockfall trajectory simulations and estimating local rockfall propagation maps. It consists of two phases: (1) a calibration phase that aimed at identifying surface parameter values that best represent field conditions by comparison of 2D trajectory simulations – performed across a wide range of surface parameter values – with rockfall deposits recorded on slope; (2) a phase for estimating local rockfall propagation maps by performing 3D simulations calibrated based on the 2D best-fit results. The practicability and interest of our procedure are illustrated on a real case study, i.e., the Aragnols site (France), where rockfalls threaten the local railway line. Rockfall deposits were recorded from meticulous terrain surveys, while numerical simulations of rockfalls were performed using propagation algorithms from the multi-model Platrock software. Despite remaining limitations, our approach is an efficient method for assessing surface parameters and predicting rockfall runout within reasonable computing time and effort. It represents a promising pathway forward in conducting simulation tasks in a straightforward yet rigorous manner, thereby yielding the data needed for rockfall runout zoning. We therefore recommend, where applicable, including this procedure in future rockfall management strategies.