Evaluation of a Novel Wave Climate Reduction Method for Accelerating Morphological Simulations

Ben Williams, Vanesa Magar

Research output: Chapter in Book/Conference paperConference paperpeer-review


We describe the application and performance of a novel and efficient Genetic Algorithm (G.A.) method, used to automatically identify the 'representative' (i.e. greatly simplified) wave conditions and associated occurrence probabilities for forcing sediment transport and subsequent morphological evolution of coastal features. The efficacy of the GA acceleration approach is assessed against a 'reference' simulation coupling a detailed time series of hydrodynamic, wave and morphodynamic evolution of sub-tidal bars at Duck, North Carolina, USA. The reduced wave climate reproduced the target sediment transport pattern with skill in the range of 0.75 to 0.91. Applying the reduced wave climate to accelerate the morphological model reproduced the evolution of the bars with a Brier Skill Score of up to 0.62 ('excellent'). This justifies the approach in wave-driven environments.
Original languageEnglish
Title of host publicationAustralasian Coasts & Ports 2017
Subtitle of host publicationWorking with Nature
Place of PublicationBarton, ACT
PublisherEngineers Australia
Pages1165 - 1171
ISBN (Print)9781922107916
Publication statusPublished - 2017
Externally publishedYes
EventAustralasian Coasts & Ports 2017 conference - Cairns, Australia
Duration: 21 Jun 201723 Jun 2017


ConferenceAustralasian Coasts & Ports 2017 conference


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