Numerical Modelling of Beach Recovery Following a Storm Event

A Hybrid Behavioural / Process-Based Approach

Master thesis (2019)

Authors

T. van Dam Civil Engineering & Geosciences

Contributors

S.G.J. Aarninkhof Coastal Engineering - CEG (mentor)
A. R. van Dongeren Deltares (mentor)
Robert McCall Deltares (mentor)
Mitchell D Harley University of New South Wales (mentor)
I.L. Turner (mentor)
M.F.S. Tissier Environmental Fluid Mechanics - CEG (mentor)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2019 Tim van Dam
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Published Date

19-11-2019

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

The present thesis describes the development of a hybrid behavioural / process-based and wave-averaged model (XBeach Surfbeat) that successfully predicts the recovery of the subaerial beach at Narrabeen Beach, Australia, following a severe storm erosion in April 2015. Two model innovations were developed. Firstly, a behavioural model was developed to predict berm growth during calm conditions, as well as erosion during episodic storm conditions. A second innovation calculates a re-distribution of the sediment transport in the upper swash zone, to account for incident band swash-induced sediment transport, which is not resolved in XBeach Surfbeat, but is of major importance, especially on reflective beaches. The model successfully predicts the behaviour of the beach throughout the recovery period, and shows good potential for long-term simulations.

Files

Thesis.pdf
(.pdf | 11.2 Mb)