James H. Williams, Huong Ngan Vu, Ryan Paulik, Conrad Zorn, Liam Wotherspoon
{"title":"Expert-Derived Flood Damage Curves for Critical Infrastructure Network Components","authors":"James H. Williams, Huong Ngan Vu, Ryan Paulik, Conrad Zorn, Liam Wotherspoon","doi":"10.1111/jfr3.70045","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":49294,"journal":{"name":"Journal of Flood Risk Management","volume":"18 2","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfr3.70045","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Flood Risk Management","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jfr3.70045","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Journal of Flood Risk Management provides an international platform for knowledge sharing in all areas related to flood risk. Its explicit aim is to disseminate ideas across the range of disciplines where flood related research is carried out and it provides content ranging from leading edge academic papers to applied content with the practitioner in mind.
Readers and authors come from a wide background and include hydrologists, meteorologists, geographers, geomorphologists, conservationists, civil engineers, social scientists, policy makers, insurers and practitioners. They share an interest in managing the complex interactions between the many skills and disciplines that underpin the management of flood risk across the world.