Leon S. Besseling, Anouk Bomers, Jord J. Warmink, Suzanne J.M.H. Hulscher
{"title":"Fast arrival-time modelling of dike breach floods for effective disaster management","authors":"Leon S. Besseling, Anouk Bomers, Jord J. Warmink, Suzanne J.M.H. Hulscher","doi":"10.1016/j.pdisas.2026.100565","DOIUrl":null,"url":null,"abstract":"<div><div>Modelling of flood arrival times after a dike breach is essential for efficient flood disaster management, shaping evacuation strategies and effective disaster response. However, common hydrodynamic models remain too computationally expensive for real-time flood forecasting, while current surrogate models have so far not been able to simulate flood arrival times for dike breaches. In this study, we develop a fast conceptual model for this purpose, based on a digital elevation model and a linear regression equation for flood propagation velocity. The linear regression was derived from a sensitivity analysis of hydrodynamic simulations of idealized dike breaches, where we identify the most important hinterland characteristics that determine the flood propagation velocity. The sensitivity analysis shows that hinterland slope in the propagation direction is most important for the propagation velocity, while breach discharge is most important close to the breach. The fast conceptual model computes flood arrival times by applying this linear regression along the local drainage direction (steepest slope) path leading away from the breach, taking peak breach discharge as input. The model achieves accurate results for two case study dike breaches along the Rhine river near the Dutch–German border, especially in the first 48 h after the breach. The mean absolute arrival time error is about 2 to 4 h, and computation time is less than a second. We conclude that this model can serve as a fast disaster preparation and response tool to support flood disaster management, for determining evacuation strategies and uncertainty analysis of possible breach discharge scenarios.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100565"},"PeriodicalIF":3.8000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061726000517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/7 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Modelling of flood arrival times after a dike breach is essential for efficient flood disaster management, shaping evacuation strategies and effective disaster response. However, common hydrodynamic models remain too computationally expensive for real-time flood forecasting, while current surrogate models have so far not been able to simulate flood arrival times for dike breaches. In this study, we develop a fast conceptual model for this purpose, based on a digital elevation model and a linear regression equation for flood propagation velocity. The linear regression was derived from a sensitivity analysis of hydrodynamic simulations of idealized dike breaches, where we identify the most important hinterland characteristics that determine the flood propagation velocity. The sensitivity analysis shows that hinterland slope in the propagation direction is most important for the propagation velocity, while breach discharge is most important close to the breach. The fast conceptual model computes flood arrival times by applying this linear regression along the local drainage direction (steepest slope) path leading away from the breach, taking peak breach discharge as input. The model achieves accurate results for two case study dike breaches along the Rhine river near the Dutch–German border, especially in the first 48 h after the breach. The mean absolute arrival time error is about 2 to 4 h, and computation time is less than a second. We conclude that this model can serve as a fast disaster preparation and response tool to support flood disaster management, for determining evacuation strategies and uncertainty analysis of possible breach discharge scenarios.
期刊介绍:
Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery.
A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.