Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components

ABSTRACT Flood impact assessment is limited by a scarcity of damage curves for critical infrastructure network components. This study presents a judgement‐based methodology for developing critical infrastructure network component flood damage curves. The 12 semi‐structured workshops record responses for estimated minimum and maximum damage ratios at 0.5, 1, 2 and 3 m water depths. The 46 responses, weighted by participant expertise level, are aggregated into a discrete minimum and maximum damage curve for each component. Damage curves are presented for 34 infrastructure network components across the transportation, energy, water, and telecommunication sectors. These damage curves are benchmarked against relevant flood damage curves from previous studies, providing insight on how flood damage models compare internationally and across methods. While the synthesised flood damage curves allow for nationally consistent risk assessments, this study highlights the need for flood damage curves that represent local risk contexts for infrastructure network components to facilitate locally applicable risk assessments that inform risk management.

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Publication Details

Journal
Journal of Flood Risk Management
Published
2025-04-22
DOI
https://doi.org/10.1111/jfr3.70045
Citations
3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
3.32

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article

Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components

Conrad Zorn, James H. Williams, Ryan Paulik, Liam Wotherspoon et al.
3 citations
Journal of Flood Risk Management
Flood Risk Assessment and Management
3.32
article

Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components

Conrad Zorn, James H. Williams, Ryan Paulik, Liam Wotherspoon, Hoang Nam Vu
article en
3 citations

Abstract

ABSTRACT Flood impact assessment is limited by a scarcity of damage curves for critical infrastructure network components. This study presents a judgement‐based methodology for developing critical infrastructure network component flood damage curves. The 12 semi‐structured workshops record responses for estimated minimum and maximum damage ratios at 0.5, 1, 2 and 3 m water depths. The 46 responses, weighted by participant expertise level, are aggregated into a discrete minimum and maximum damage curve for each component. Damage curves are presented for 34 infrastructure network components across the transportation, energy, water, and telecommunication sectors. These damage curves are benchmarked against relevant flood damage curves from previous studies, providing insight on how flood damage models compare internationally and across methods. While the synthesised flood damage curves allow for nationally consistent risk assessments, this study highlights the need for flood damage curves that represent local risk contexts for infrastructure network components to facilitate locally applicable risk assessments that inform risk management.

Journal of Flood Risk ManagementVol. 18(2)
University of Auckland (NZ), University of Canterbury (NZ), VinUniversity (VN), National Institute of Water and Atmospheric Research (NZ)
National Institute of Water and Atmospheric Research, University of Canterbury, Ministry of Business, Innovation and Employment
Openalex Percentile: Top 9%
Flood Risk Assessment and Management
3.32
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Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components — Conrad Zorn, James H. Williams, et al. · Journal of Flood Risk Management (2025) | TGRS Research Map | TGRS