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Article dans une revue

Quantile-based individual risk measures for rockfall-prone areas

Abstract : In mountain environments, precise rockfall risk evaluation is crucial to reduce death tolls and costs. However, to date, existing rockfall risk assessment procedures remain scarce, as they focus only on existing elements at risk and with the damage expectation as sole risk measure. Here, we propose an approach to evaluate the distribution of damages on an individual basis as a continuous function of space. Furthermore, rockfall risk is evaluated through (i) the damage expectation and based on (ii) the value-at-risk (VAR) and (iii) the expected shortfall (ES). VaR and ES risk measures allow better assessing the risk due to extreme events and accounting for various shortterm/long-term constraints faced by stakeholders. This procedure is applied to Le Brocey slope (municipality of Crolles, French Alps), frequently affected by rockfall events, illustrating its potential for land-use planning. Notably, obtained individual risk values can be confronted with acceptability thresholds to perform legal zoning on sound basis. Also, they allow comparison of risk management strategies as function of different behaviors towards risk, budgetary constraints and/or temporal horizons. Hence, the approach provides valuable tools for future land-use planning and decision-making. It could easily be transferred to other hazards as a wider contribution to the determination of the best balance between safety and sustainability.
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https://hal.archives-ouvertes.fr/hal-03129211
Contributeur : Manon Farvacque <>
Soumis le : mardi 14 septembre 2021 - 15:23:25
Dernière modification le : mercredi 15 septembre 2021 - 03:08:41

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Manon Farvacque, Nicolas Eckert, Franck Bourrier, Christophe Corona, Jérôme Lopez-Saez, et al.. Quantile-based individual risk measures for rockfall-prone areas. International Journal of Disaster Risk Reduction, Elsevier, 2021, 53, pp.101932. ⟨10.1016/j.ijdrr.2020.101932⟩. ⟨hal-03129211⟩

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