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A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe

Author

Listed:
  • Sotirios A. Argyroudis

    (Aristotle University)

  • Stavroula Fotopoulou

    (Aristotle University)

  • Stella Karafagka

    (Aristotle University)

  • Kyriazis Pitilakis

    (Aristotle University)

  • Jacopo Selva

    (Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Bologna)

  • Ernesto Salzano

    (University of Bologna)

  • Anna Basco

    (University of Napoli Federico II)

  • Helen Crowley

    (EUCENTRE)

  • Daniela Rodrigues

    (EUCENTRE)

  • José P. Matos

    (EPFL)

  • Anton J. Schleiss

    (EPFL)

  • Wim Courage

    (TNO)

  • Johan Reinders

    (SGS)

  • Yin Cheng

    (Southwest Jiaotong University)

  • Sinan Akkar

    (Bogazici University)

  • Eren Uçkan

    (Bogazici University)

  • Mustafa Erdik

    (Bogazici University)

  • Domenico Giardini

    (ETH Zürich)

  • Arnaud Mignan

    (ETH Zürich
    Southern University of Science and Technology)

Abstract

Recent natural disasters that seriously affected critical infrastructure (CI) with significant socio-economic losses and impact revealed the need for the development of reliable methodologies for vulnerability and risk assessment. In this paper, a risk-based multi-level stress test method that has been recently proposed, aimed at enhancing procedures for evaluation of the risk of critical non-nuclear infrastructure systems against natural hazards, is specified and applied to six key representative CIs in Europe, exposed to variant hazards. The following CIs are considered: an oil refinery and petrochemical plant in Milazzo, Italy, a conceptual alpine earth-fill dam in Switzerland, the Baku–Tbilisi–Ceyhan pipeline in Turkey, part of the Gasunie national gas storage and distribution network in the Netherlands, the port infrastructure of Thessaloniki, Greece, and an industrial district in the region of Tuscany, Italy. The six case studies are presented following the workflow of the stress test framework comprised of four phases: pre-assessment phase, assessment phase, decision phase and report phase. First, the goals, the method, the time frame and the appropriate stress test level to apply are defined. Then, the stress test is performed at component and system levels and the outcomes are checked and compared to risk acceptance criteria. A stress test grade is assigned, and the global outcome is determined by employing a grading system. Finally, critical components and events and risk mitigation strategies are formulated and reported to stakeholders and authorities.

Suggested Citation

  • Sotirios A. Argyroudis & Stavroula Fotopoulou & Stella Karafagka & Kyriazis Pitilakis & Jacopo Selva & Ernesto Salzano & Anna Basco & Helen Crowley & Daniela Rodrigues & José P. Matos & Anton J. Schle, 2020. "A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe," 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. 100(2), pages 595-633, January.
  • Handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03828-5
    DOI: 10.1007/s11069-019-03828-5
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    References listed on IDEAS

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    Cited by:

    1. Fabio De Felice & Ilaria Baffo & Antonella Petrillo, 2022. "Critical Infrastructures Overview: Past, Present and Future," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    2. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2021. "Feasibility study of PRA for critical infrastructure risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    3. Gyeong-Hoi Koo & Shinyoung Kwag & Hyun-Suk Nam, 2021. "Study on Inelastic Strain-Based Seismic Fragility Analysis for Nuclear Metal Components," Energies, MDPI, vol. 14(11), pages 1-20, June.
    4. Di Maio, F. & Belotti, M. & Volpe, M. & Selva, J. & Zio, E., 2022. "Parallel density scanned adaptive Kriging to improve local tsunami hazard assessment for coastal infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 222(C).

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