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Evaluating the Benefits of Adaptation of Critical Infrastructures to Hydrometeorological Risks

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  • Scott Thacker
  • Scott Kelly
  • Raghav Pant
  • Jim W. Hall

Abstract

Infrastructure adaptation measures provide a practical way to reduce the risk from extreme hydrometeorological hazards, such as floods and windstorms. The benefit of adapting infrastructure assets is evaluated as the reduction in risk relative to the “do nothing” case. However, evaluating the full benefits of risk reduction is challenging because of the complexity of the systems, the scarcity of data, and the uncertainty of future climatic changes. We address this challenge by integrating methods from the study of climate adaptation, infrastructure systems, and complex networks. In doing so, we outline an infrastructure risk assessment that incorporates interdependence, user demands, and potential failure‐related economic losses. Individual infrastructure assets are intersected with probabilistic hazard maps to calculate expected annual damages. Protection measure costs are integrated to calculate risk reduction and associated discounted benefits, which are used to explore the business case for investment in adaptation. A demonstration of the methodology is provided for flood protection of major electricity substations in England and Wales. We conclude that the ongoing adaptation program for major electricity assets is highly cost beneficial.

Suggested Citation

  • Scott Thacker & Scott Kelly & Raghav Pant & Jim W. Hall, 2018. "Evaluating the Benefits of Adaptation of Critical Infrastructures to Hydrometeorological Risks," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 134-150, January.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:1:p:134-150
    DOI: 10.1111/risa.12839
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    Citations

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    Cited by:

    1. Edward J. Oughton & Daniel Ralph & Raghav Pant & Eireann Leverett & Jennifer Copic & Scott Thacker & Rabia Dada & Simon Ruffle & Michelle Tuveson & Jim W Hall, 2019. "Stochastic Counterfactual Risk Analysis for the Vulnerability Assessment of Cyber‐Physical Attacks on Electricity Distribution Infrastructure Networks," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2012-2031, September.
    2. Hiroaki Ishiwata & Muneta Yokomatsu, 2018. "Dynamic Stochastic Macroeconomic Model of Disaster Risk Reduction Investment in Developing Countries," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2424-2440, November.
    3. Fabio De Felice & Ilaria Baffo & Antonella Petrillo, 2022. "Critical Infrastructures Overview: Past, Present and Future," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    4. Jingjing Kong & Slobodan P. Simonovic, 2019. "Probabilistic Multiple Hazard Resilience Model of an Interdependent Infrastructure System," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1843-1863, August.
    5. Linn Svegrup & Jonas Johansson & Henrik Hassel, 2019. "Integration of Critical Infrastructure and Societal Consequence Models: Impact on Swedish Power System Mitigation Decisions," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1970-1996, September.
    6. Linda Menk & Christian Neuwirth & Stefan Kienberger, 2020. "Mapping the Structure of Social Vulnerability Systems for Malaria in East Africa," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    7. Wei, Yian & Cheng, Yao & Liao, Haitao, 2024. "Optimal resilience-based restoration of a system subject to recurrent dependent hazards," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    8. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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