Efficient data-driven machine learning models for scour depth predictions at sloping sea defences

Efficient data-driven machine learning models for scour depth predictions at sloping sea defences

Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas from storm surges, wave overtopping and soil erosion hazards. Scouring at the toe of sea defences, caused by wave-induced accretion and erosion of bed material imposes a significant threat to the structural...

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Bibliographic Details
Main Authors: M. A. Habib, S. Abolfathi, John. J. O’Sullivan, M. Salauddin
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Built Environment
Subjects:
random forest
gradient boosted decision trees
Support Vector Machine Regression
marine and coastal management
coastal hazards mitigation
toe scouring
Online Access:https://www.frontiersin.org/articles/10.3389/fbuil.2024.1343398/full

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