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The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study

Author

Listed:
  • Farid Kadri

    (TEMPO - Laboratoire de Thermique, Ecoulements Mécaniques matériaux mise en forme PrOduction - UVHC - Université de Valenciennes et du Hainaut-Cambrésis, LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 - UVHC - Université de Valenciennes et du Hainaut-Cambrésis - CNRS - Centre National de la Recherche Scientifique)

  • B. Birregah

    (LM2S - Laboratoire Modélisation et Sûreté des Systèmes - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique, STMR - Sciences et Technologies pour la Maitrise des Risques - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique)

  • Eric Chatelet

    (LM2S - Laboratoire Modélisation et Sûreté des Systèmes - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique, STMR - Sciences et Technologies pour la Maitrise des Risques - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique)

Abstract

Recent events show a significant increase in the number of disasters with natural and/or technological causes, which could have potentially serious consequences for critical infrastructures. Were these infrastructures to fail or be destroyed, the resulting cascade effect (chain of accidents) could lead to catastrophic damage and affect not only the plants, but also people, the environment and the economy. This rise in the number of disasters over the years is due to industrial and human activity as well as society's sensitivity to major events (hazards). The construction of industrial complexes brings with it stocks of hazardous substances, increased transport infrastructure (road, railways, shipping and pipelines), a rise in population and its concentration, malicious behavior and human error. This paper presents a methodology for carrying out risk assessments on critical infrastructure through the analysis of cascade effects. The proposed methodology can be used to provide critical infrastructures with greater protection and to limit/mitigate the extent of the damage caused by their failure. The paper ends with a conclusion and as series of proposal for improving such an analysis.

Suggested Citation

  • Farid Kadri & B. Birregah & Eric Chatelet, 2014. "The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study," Post-Print hal-02365385, HAL.
    • Handle: RePEc:hal:journl:hal-02365385
    DOI: 10.1515/jhsem-2012-0077
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    Citations

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    Cited by:

    1. Gianluca Pescaroli & David Alexander, 2016. "Critical infrastructure, panarchies and the vulnerability paths of cascading disasters," 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. 82(1), pages 175-192, May.
    2. Ghasemi, Peiman & Khalili-Damghani, Kaveh, 2021. "A robust simulation-optimization approach for pre-disaster multi-period location–allocation–inventory planning," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 69-95.
    3. David Rehak & Michal Radimsky & Martin Hromada & Zdenek Dvorak, 2019. "Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool," Administrative Sciences, MDPI, vol. 9(2), pages 1-16, March.
    4. Milad Zamanifar & Timo Hartmann, 2020. "Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks," 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. 104(1), pages 1-25, October.
    5. Guo, Xiaoxue & Ding, Long & Ji, Jie & Cozzani, Valerio, 2022. "A cost-effective optimization model of safety investment allocation for risk reduction of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    6. Yi‐Ping Fang & Giovanni Sansavini & Enrico Zio, 2019. "An Optimization‐Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1949-1969, September.
    7. Mariachiara Piraina & Paolo Trucco, 2022. "Emergency management capabilities of interdependent systems: framework for analysis," Environment Systems and Decisions, Springer, vol. 42(2), pages 149-176, June.

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