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Improvement of mountain natural risks analysis: assessment of reach, seasonal expo- sure and presence probabilities

Author

Listed:
  • Jean-Marc Tacnet

    (IGE - Institut des Géosciences de l’Environnement - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Fédération OSUG - Observatoire des Sciences de l'Univers de Grenoble - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Jean Dezert

    (DTIS, ONERA, Université Paris Saclay [Palaiseau] - ONERA - Université Paris-Saclay)

  • Simon Carladous

    (ONF-DRN - Département Risques Naturels - ONF - Office National des Forêts)

  • Christophe Bérenguer

    (GIPSA-SAFE - GIPSA - Safe, Controlled and Monitored Systems - GIPSA-PAD - GIPSA Pôle Automatique et Diagnostic - GIPSA-lab - Grenoble Images Parole Signal Automatique - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

Abstract

Mountain natural phenomena threaten people and infrastructures. Risk-informed decision making to select risk reduction measures always starts with risk analysis. Natural risks are assessed through a combination of hazard, exposure and vulnerability (equivalent to severity and probability in industrial technological contexts). In practice, characterizing the exposure is indeed not that easy since for a given magnitude, a phenomenon can have several possible trajectories, each of them corresponding to a sub-scenario with a given conditional probability. Seasonal mountain phenomena occurrence and human touristic occupation are highly variable inducing peaks in occupancy rates. This paper addresses the issue of operational assessment of assets exposure considering their seasonal reach and presence probability for different phenomenon sub-scenarios. Simplified and practical methodologies are proposed to first calculate risk based on seasonal phenomenon occurrence and exposure and secondly calculate the reach probabilities of their spatial extent. Simple examples are given for a first single phenomenon (torrential flood) and demonstrate the influence of seasonal occurrence and presence hypothesis on calculated risks. Methodologies can be extended to deal with multi-risk contexts.

Suggested Citation

  • Jean-Marc Tacnet & Jean Dezert & Simon Carladous & Christophe Bérenguer, 2025. "Improvement of mountain natural risks analysis: assessment of reach, seasonal expo- sure and presence probabilities," Post-Print hal-05293163, HAL.
    • Handle: RePEc:hal:journl:hal-05293163
    DOI: 10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8986-cd
    Note: View the original document on HAL open archive server: https://hal.science/hal-05293163v1
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    References listed on IDEAS

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    1. Jean-Marc Tacnet & Jean Dezert & Corinne Curt & Mireille Batton-Hubert & Eric Chojnacki, 2014. "How to manage natural risks in mountain areas in a context of imperfect information? New frameworks and paradigms for expert assessments and decision-making," Environment Systems and Decisions, Springer, vol. 34(2), pages 288-311, June.
    2. Jochen Schmidt & Iain Matcham & Stefan Reese & Andrew King & Rob Bell & Roddy Henderson & Graeme Smart & Jim Cousins & Warwick Smith & Dave Heron, 2011. "Quantitative multi-risk analysis for natural hazards: a framework for multi-risk modelling," 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. 58(3), pages 1169-1192, September.
    3. Stan Kaplan & Yacov Y. Haimes & B. John Garrick, 2001. "Fitting Hierarchical Holographic Modeling into the Theory of Scenario Structuring and a Resulting Refinement to the Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 21(5), pages 807-807, October.
    4. Carladous, Simon & Tacnet, Jean-Marc & Batton-Hubert, Mireille & Dezert, Jean & Marco, Olivier, 2019. "Managing protection in torrential mountain watersheds: A new conceptual integrated decision-aiding framework," Land Use Policy, Elsevier, vol. 80(C), pages 464-479.
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