Rapid Changes in Permeability: Numerical Investigation into Storm-Driven Pebble Beach Morphodynamics with XBeach-G

This study delves into the morphodynamic changes of pebble beaches in response to storm events, employing a combination of observational and numerical approaches. This research focuses on three extreme events, meticulously examining morhological changes in intertidal topography on the beach of Etret...

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Bibliographic Details
Published in:Journal of marine science and engineering 2024-02, Vol.12 (2), p.327
Main Authors: Soloy, Antoine, Lopez Solano, Carlos, Turki, Emma Imen, Mendoza, Ernesto Tonatiuh, Lecoq, Nicolas
Format: Article
Language:English
Subjects:
Beach profiles
Beaches
Coastal ecosystems
Coasts
Earth Sciences
Energy dissipation
Grain size
intertidal topography
Investigations
Mathematical models
Model accuracy
Monitoring systems
Morphology
Numerical analysis
Numerical models
pebble beaches
Pebbles
Permeability
Physical properties
Robustness (mathematics)
Sciences of the Universe
Sediment transport
Shoreline protection
Simulation methods
Storms
Temporal variations
Topography
XBeach-G
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Summary:This study delves into the morphodynamic changes of pebble beaches in response to storm events, employing a combination of observational and numerical approaches. This research focuses on three extreme events, meticulously examining morhological changes in intertidal topography on the beach of Etretat (Normandy, France). A robust dataset of daily beach topography, derived from video monitoring systems, validates a set of numerical simulations of cross-shore dynamics performed by the process-based model XBeach-G. Our study evaluates the model’s efficacy in estimating beach profile evolution under high-energy conditions and explores its sensitivity to the physical properties of pebbles, including permeability. The results underscore the significance of considering spatial and temporal variations in permeability during storms to enhance the numerical model’s accuracy in predicting pebble beach dynamics. Furthermore, this study advocates for the incorporation of grain size mapping techniques to refine numerical model implementations.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse12020327