Storm Surge Clusters, Multi-Peak Storms and Their Effect on the Performance of the Maeslant Storm Surge Barrier (The Netherlands)

Journal Article (2025)
Author(s)

Alexander Maria Rogier Hoffmans (Rijkswaterstaat, TU Delft - Hydraulic Structures and Flood Risk)

Dion L.T. Rovers (HKV Lijn in Water)

L.F. Mooyaart (TU Delft - Hydraulic Structures and Flood Risk, Rijkswaterstaat)

Research Group
Hydraulic Structures and Flood Risk
DOI related publication
https://doi.org/10.3390/jmse13020298
More Info
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Publication Year
2025
Language
English
Research Group
Hydraulic Structures and Flood Risk
Issue number
2
Volume number
13
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Abstract

Storm surge barriers are crucial for the flood protection of the Netherlands and other deltas. In the Netherlands, the reliability of flood defenses is typically assessed based on extreme water levels and wave height statistics. Yet, in the case of operated flood defenses, such as storm surge barriers, the temporal clustering of successive events may be just as important. This study investigates the evolution and associated flood risk of clusters of successive storm tide peaks at the Maeslant Storm Surge Barrier in the Netherlands. Two mechanisms are considered. Multi-peak storm surge events, as a consequence of tidal movement on top of the surge, are studied by means of stochastic storm tide events. Clusters of storm tides resulting from different, but related storms are investigated by means of time series analysis of a long sea-level record. We conclude that the tendency of extreme storm tide peaks to cluster is especially related to the seasonality in storm activity. In the current situation, the occurrence of clusters of storm tide peaks have only a minor influence of the flood risk in the area behind the Maeslant Storm Surge Barrier. We envision, however, that this influence is likely to increase with sea-level rise. The numbers are, however, uncertain due to the strong sensitivity to assumptions, model choices and the applied data set. More insight into the statistics of the time evolution of extreme sea water levels is needed to better understand and ultimately to reduce these uncertainties.