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

被引:0
|
作者
Bakker, Alexander M. R. [1 ,2 ]
Rovers, Dion L. T. [3 ]
Mooyaart, Leslie F. [1 ,2 ]
机构
[1] Delft Univ Technol, Fac Civil Engn & Geosci, Stevinweg 1,POB 5048, NL-2628 CN Delft, Netherlands
[2] Minist Infrastruct & Water Management, Rijkswaterstaat, Griffioenlaan 2,POB 2232, NL-3526 LA Utrecht, Netherlands
[3] HKV Consultants, Informaticalaan 8, NL-2628 ZD Delft, Netherlands
关键词
multi-peak storms; storm surge barrier; flood risk; storm surge clusters; operational reliability; storm surge barrier performance; Maeslant storm surge barrier; compound events; EXTREMES; TIDE;
D O I
10.3390/jmse13020298
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
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.
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页数:19
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