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...
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| Format: | Article |
| Language: | English |
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Wiley
2025-06-01
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| Series: | Journal of Flood Risk Management |
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| Online Access: | https://doi.org/10.1111/jfr3.70045 |
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| author | James H. Williams Huong Ngan Vu Ryan Paulik Conrad Zorn Liam Wotherspoon |
| author_facet | James H. Williams Huong Ngan Vu Ryan Paulik Conrad Zorn Liam Wotherspoon |
| author_sort | James H. Williams |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7085fda9c2924cc2a0e65a94f1fbe39e |
| institution | Kabale University |
| issn | 1753-318X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Flood Risk Management |
| spelling | doaj-art-7085fda9c2924cc2a0e65a94f1fbe39e2025-08-20T03:28:00ZengWileyJournal of Flood Risk Management1753-318X2025-06-01182n/an/a10.1111/jfr3.70045Expert‐Derived Flood Damage Curves for Critical Infrastructure Network ComponentsJames H. Williams0Huong Ngan Vu1Ryan Paulik2Conrad Zorn3Liam Wotherspoon4Department of Civil and Environmental Engineering Te Kura Pūkaha Metarahi Me te Taiao University of Auckland | Waipapa Taumata Rau Tāmaki Makaurau Auckland Aotearoa New ZealandSchool of Earth and Environment Te Whare Wānanga o Waitaha University of Canterbury | Te Whare Wānanga o Waitaha Ōtautahi Christchurch Aotearoa New ZealandNational Institute of Water and Atmospheric Research | Taihoro Nukurangi Te Whanganui‐a‐Tara Wellington Aotearoa New ZealandDepartment of Civil and Environmental Engineering Te Kura Pūkaha Metarahi Me te Taiao University of Auckland | Waipapa Taumata Rau Tāmaki Makaurau Auckland Aotearoa New ZealandDepartment of Civil and Environmental Engineering Te Kura Pūkaha Metarahi Me te Taiao University of Auckland | Waipapa Taumata Rau Tāmaki Makaurau Auckland Aotearoa New ZealandABSTRACT 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.https://doi.org/10.1111/jfr3.70045critical infrastructuredamage curvesexpert‐judgementfloodvulnerability |
| spellingShingle | James H. Williams Huong Ngan Vu Ryan Paulik Conrad Zorn Liam Wotherspoon Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components Journal of Flood Risk Management critical infrastructure damage curves expert‐judgement flood vulnerability |
| title | Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components |
| title_full | Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components |
| title_fullStr | Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components |
| title_full_unstemmed | Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components |
| title_short | Expert‐Derived Flood Damage Curves for Critical Infrastructure Network Components |
| title_sort | expert derived flood damage curves for critical infrastructure network components |
| topic | critical infrastructure damage curves expert‐judgement flood vulnerability |
| url | https://doi.org/10.1111/jfr3.70045 |
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