Hydrodynamic modelling for simulating nearshore waves and sea levels: classification of extreme events from the English Channel to the Normandy coasts

C. López Solano (), E. I. Turki, E. T. Mendoza, A. D. Gutiérrez Barceló, A. Migaud, Y. Hamdi, B. Laignel and R. Lafite
Additional contact information
C. López Solano: Univ Rouen Normandie, Université Caen Normandie, CNRS, Normandie Univ
E. I. Turki: Univ Rouen Normandie, Université Caen Normandie, CNRS, Normandie Univ
E. T. Mendoza: Univ Rouen Normandie, Université Caen Normandie, CNRS, Normandie Univ
A. D. Gutiérrez Barceló: SandS
A. Migaud: Institute for Radiological Protection and Nuclear Safety
Y. Hamdi: Institute for Radiological Protection and Nuclear Safety
B. Laignel: Univ Rouen Normandie, Université Caen Normandie, CNRS, Normandie Univ
R. Lafite: Univ Rouen Normandie, Université Caen Normandie, CNRS, Normandie Univ

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 15, No 10, 13973 pages

Abstract: Abstract Assessing the vulnerability of coastal systems to storms often rely on an accurate modelling of extreme events and the identification of their impacts that depend on their physical characteristics. This requires the development of an exhaustive numerical downscaling of extreme hydrodynamics from deep to shallow areas to enhance our ability to predict the risks induced by these events, which is of fundamental importance for coastal managers. This work aims at investigating the nearshore dynamics of extreme events and their evolution from the shelf seas of the English Channel to the Normandy Coasts by developing a new numerical field of wave and sea level simulations during a period of 40 years. This dataset has been explored for the classification of extreme events considering their severity, direction, and duration. The overall results highlighted that more than 90% of the storms are coming from the Atlantic Ocean with a substantial change in their amplitude and their duration along the Channel: storms with Northern component are more severe while those coming from the South last longer with higher energy. A detailed monitoring of three different storm events exhibited that their impact depends on their travelling direction, being more significant for hydrodynamic events propagating following the orientation of the Channel, of about 70 degrees to the North, with lower diffraction. Extreme events coming from South Atlantic experience a stronger wave modulation when they arrive nearshore.

Keywords: Extreme events; Numerical simulation; Coastal storm classification; Wave modulation; English Channel (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-024-06699-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:120:y:2024:i:15:d:10.1007_s11069-024-06699-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-024-06699-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().