Morphodynamic predictions based on Machine Learning. Performance and limits for pocket beaches near the Bilbao port

Morphodynamic predictions based on Machine Learning. Performance and limits for pocket beaches near the Bilbao port

Predicting the morphodynamic behaviour of pocket beaches exposed to energetic waves and meso-tidal ranges—particularly under strong seasonal variability and the influence of climate change—requires a robust characterization of coastal morphodynamics across a wide range of temporal and spatial scales...

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Bibliographic Details
Main Authors: Manuel Viñes, Agustín Sánchez-Arcilla, Irati Epelde, César Mösso, Javier Franco, Joaquim Sospedra, Aritz Abalia, Pedro Líria, Manel Grifoll, Alberto Ojanguren, Mario Hernáez, Manuel González
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Environmental Science
Subjects:
Machine Learning
Gradient Boosting Regressor
key hydro- and morphodynamic variables
cross-correlations
predictive formulations
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1600473/full
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https://www.frontiersin.org/articles/10.3389/fenvs.2025.1600473/full

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