A program for selecting the optimal wave conditions for morphodynamically accelerated
simulations of coastal evolution (‘OPTIWAVE’) has been constructed using a novel Genetic
Algorithm approach. The optimization routine iteratively reduces the complexity of an
incident wave climate by removing the events that contribute least to a target sediment
transport pattern, and then ‘evolving’ a new set of weights for the remaining wave conditions
such that the target sediment transport pattern (and magnitude) is optimally maintained.
The efficacy of OPTIWAVE to satisfactorily reduce the incident wave climate is tested
against three coastal modeling paradigms of increasing complexity: (a) A simple 1-D beach
profile model (no tides); (b) A 2-D micro-tidal beach; (c) A tidal inlet, where the interaction
between waves, tides, and wave-current interaction, adds significant complexity.
The simple test case for a beach profile shows that OPTIWAVE is successfully capable of
maintaining a target profile-integrated long-shore sediment transport rate. The calculated
skill and RMSE of the reduced wave climate is a good indicator of its ability to reproduce the
target sediment transport pattern. The optimal number of wave conditions is identified by an
‘inflection point’ at a critical number of wave conditions, where less complex a wave climate
results in substantially reduced skill (increased error).
The assumption that the ability of OPTIWAVE to reproduce a target sediment transport field
is a valid proxy for the potential skill of a morphologically accelerated simulation is assessed
for the case of a 2D micro-tidal beach. The skill of the accelerated models, which use a
state-of-the-art ‘event-parallel’ method of simulating bed evolution from multiple wave
conditions in parallel, is tested against a ‘brute force’ reference simulation that considers the
full wave forcing. A strong positive correlation is found between the skill of the reduced wave
climate to reproduce a target sediment transport pattern, and the resultant skill of the
accelerated morphodynamic model against the ‘brute force’ reference simulation.
Finally, the ability to combine reduced wave and tide climates for simulations that must
consider both wave and tidal forcing, is assessed against a ‘brute force’ reference simulation
of the seasonal evolution Ancao inlet, Algarve, Portugal. The reference simulation is
validated against a comprehensive field dataset collected in 1999, and is shown to
qualitatively reproduce key features of inlet behavior over a seasonal period.
The combination of reduced wave and tidal climates in accelerated ‘event-parallel’ models
did not successfully reproduce the reference seasonal morphological evolution of Ancao
inlet. Assessing the model Brier Skill Score showed that the model was more successful in
reproducing the reference morphology in areas dominated by tidal forcing, but did not have
any predictive power in regions where morphological evolution is due to some combination
of both wave and tidal processes.
Date of Award | 2016 |
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Original language | English |
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Awarding Institution | |
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Supervisor | Deborah Greaves (Other Supervisor) |
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- Morphological Modelling
- Morphological Acceleration
- Wave Climate Reduction
- Genetic Algorithm
- Global Optimisation
- Tidal Inlet
- Ancao
- Ria Formosa
- Sediment transport
On the Medium-Term Simulation of Sediment Transport and Morphological Evolution in Complex Coastal Areas
Williams, B. G. (Author). 2016
Student thesis: PhD