Publications des scientifiques de l'IRD

Disdier E., Almar Rafaël, Benshila R., Al Najar M., Chassagne R., Mukherjee D., Wilson D. G. (2025). Predicting beach profiles with machine learning from offshore wave reflection spectra. Environmental Modelling and Software, 183, p. 106221 [11 p.]. ISSN 1364-8152.

Titre du document
Predicting beach profiles with machine learning from offshore wave reflection spectra
Année de publication
2025
Type de document
Article référencé dans le Web of Science WOS:001325014700001
Auteurs
Disdier E., Almar Rafaël, Benshila R., Al Najar M., Chassagne R., Mukherjee D., Wilson D. G.
Source
Environmental Modelling and Software, 2025, 183, p. 106221 [11 p.] ISSN 1364-8152
Tracking and forecasting changes in coastal morphology is vital for development, risk reduction, and overall coastal management. One challenge of current coastal research and engineering is to find a method able to accurately assess the bathymetry profile along the coast and key parameters such as slope and sandbars. Traditional bathymetry measurements are obtained through echo-sounding, which is time-consuming, hazardous and costly. Using a variety of simulated cases, we test the potential of machine learning and in particular Neural Networks to reconstruct the coastal bathymetry profile from offshore sensed waves, based on shore-based wave reflection. Features such as foreshore slope, curvature, sandbars amplitude and positions can be captured.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du milieu [021] ; Limnologie physique / Océanographie physique [032] ; Géologie et formations superficielles [064]
Localisation
Fonds IRD [F B010091883]
Identifiant IRD
fdi:010091883
Contact