Articles | Volume 22, issue 1
https://doi.org/10.5194/nhess-22-1-2022
https://doi.org/10.5194/nhess-22-1-2022
Research article
 | 
04 Jan 2022
Research article |  | 04 Jan 2022

The influence of infragravity waves on the safety of coastal defences: a case study of the Dutch Wadden Sea

Christopher H. Lashley, Sebastiaan N. Jonkman, Jentsje van der Meer, Jeremy D. Bricker, and Vincent Vuik

Related authors

Multi-scale hydraulic graph neural networks for flood modelling
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
EGUsphere, https://doi.org/10.5194/egusphere-2024-2621,https://doi.org/10.5194/egusphere-2024-2621, 2024
Short summary
Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai
Hanqing Xu, Elisa Ragno, Sebastiaan N. Jonkman, Jun Wang, Jeremy D. Bricker, Zhan Tian, and Laixiang Sun
Hydrol. Earth Syst. Sci., 28, 3919–3930, https://doi.org/10.5194/hess-28-3919-2024,https://doi.org/10.5194/hess-28-3919-2024, 2024
Short summary
Rapid spatio-temporal flood modelling via hydraulics-based graph neural networks
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 27, 4227–4246, https://doi.org/10.5194/hess-27-4227-2023,https://doi.org/10.5194/hess-27-4227-2023, 2023
Short summary
Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastian Nicolaas Jonkman, and Riccardo Taormina
Hydrol. Earth Syst. Sci., 26, 4345–4378, https://doi.org/10.5194/hess-26-4345-2022,https://doi.org/10.5194/hess-26-4345-2022, 2022
Short summary
Developing a framework for the assessment of current and future flood risk in Venice, Italy
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022,https://doi.org/10.5194/nhess-22-2381-2022, 2022
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model
Robert McCall, Curt Storlazzi, Floortje Roelvink, Stuart G. Pearson, Roel de Goede, and José A. Á. Antolínez
Nat. Hazards Earth Syst. Sci., 24, 3597–3625, https://doi.org/10.5194/nhess-24-3597-2024,https://doi.org/10.5194/nhess-24-3597-2024, 2024
Short summary
A brief history of tsunamis in the Vanuatu Arc
Jean H. M. Roger and Bernard Pelletier
Nat. Hazards Earth Syst. Sci., 24, 3461–3478, https://doi.org/10.5194/nhess-24-3461-2024,https://doi.org/10.5194/nhess-24-3461-2024, 2024
Short summary
Tsunami inundation and vulnerability analysis on the Makran coast, Pakistan
Rashid Haider, Sajid Ali, Gösta Hoffmann, and Klaus Reicherter
Nat. Hazards Earth Syst. Sci., 24, 3279–3290, https://doi.org/10.5194/nhess-24-3279-2024,https://doi.org/10.5194/nhess-24-3279-2024, 2024
Short summary
Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci., 24, 3245–3265, https://doi.org/10.5194/nhess-24-3245-2024,https://doi.org/10.5194/nhess-24-3245-2024, 2024
Short summary
Volcano tsunamis and their effects on moored vessel safety: the 2022 Tonga event
Sergio Padilla, Íñigo Aniel-Quiroga, Rachid Omira, Mauricio González, Jihwan Kim, and Maria A. Baptista
Nat. Hazards Earth Syst. Sci., 24, 3095–3113, https://doi.org/10.5194/nhess-24-3095-2024,https://doi.org/10.5194/nhess-24-3095-2024, 2024
Short summary

Cited articles

Altomare, C., Suzuki, T., Chen, X., Verwaest, T., and Kortenhaus, A.: Wave overtopping of sea dikes with very shallow foreshores, Coast. Eng., 116, 236–257, https://doi.org/10.1016/j.coastaleng.2016.07.002, 2016. 
Ascencio, J.: Spectral Wave Dissipation by Vegetation: A new frequency distributed dissipation model in SWAN, MS thesis, Department of Civil Engineering and Geosciences, Delft University of Technology, Delft, available at: http://resolver.tudelft.nl/uuid:de72b692-fbd8-410d-97a7-f18d62d3a8b0 (last access: 21 December 2021), 2020. 
Baron-Hyppolite, C., Lashley, C. H., Garzon, J., Miesse, T., Ferreira, C., and Bricker, J. D.: Comparison of Implicit and Explicit Vegetation Representations in SWAN Hindcasting Wave Dissipation by Coastal Wetlands in Chesapeake Bay, Geosciences, 9, 8, https://doi.org/10.3390/geosciences9010008, 2018. 
Battjes, J. and Stive, M.: Calibration and verification of a dissipation model for random breaking waves, J. Geophys. Res.-Oceans, 90, 9159–9167, 1985. 
Battjes, J. A.: Shoaling of subharmonic gravity waves, J. Geophys. Res., 109, C02009, https://doi.org/10.1029/2003jc001863, 2004. 
Download
Short summary
Many coastlines around the world have shallow foreshores (e.g. salt marshes and mudflats) that reduce storm waves and the risk of coastal flooding. However, most of the studies that tried to quantify this effect have excluded the influence of very long waves, which often dominate in shallow water. Our newly developed framework addresses this oversight and suggests that safety along these coastlines may be overestimated, since these very long waves are largely neglected in flood risk assessments.
Altmetrics
Final-revised paper
Preprint