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Studying the wake of an island in a macro-tidal estuary

Guo, Bin, Ahmadian, Reza, Evans, Paul and Falconer, Roger A. 2020. Studying the wake of an island in a macro-tidal estuary. Water 12 (5) , 1225. 10.3390/W12051225

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Abstract

Tidal flow can generate unsteady wakes, large eddies and recirculation zones in the lee or around complex natural and artificial obstructions, such as islands, headlands or harbours. It is essential to understand the flow patterns around such structures given the potential impacts they can have on sedimentation, the marine environment, ecology and anthropogenic activities. In this paper, the wake around an island in a macro-tidal environment has been studied using a widely used hydro-environmental model, Telemac-2D. Current data collected using moored acoustic Doppler current profilers (ADCPs) were used to validate and refine the Telemac-2D model. Four different turbulence models and several different solver options for the k-ε model were tested in this study to assess which representation could best replicate the hydrodynamics. The classic k-ε model with the solver of conjugate residual was the most suitable method to simulate the wake in the lee of the island. The model results showed good correlation with measured data. The island wake parameter used to predict the wake behaviour and its predictions matched the model results for different tidal conditions, suggesting that the island wake parameter could be used to predict the wake behind obstacles in macro-tidal environments. The model predictions showed the development of a wake is similar between ebb and flood tides in the neap tide while showing more difference in spring tide. With the increase of velocity in the neap tide, two side-by-side vortices will appear and then changing to stable Karman Vortex Street. During the edd phase, the wake will develop from a stable vortex to an unstable Karman Vortex Street, while the wake remained stable with two vortices during an flood tid

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: MDPI
ISSN: 2073-4441
Date of First Compliant Deposit: 21 April 2020
Date of Acceptance: 21 April 2020
Last Modified: 30 Jun 2020 14:42
URI: http://orca.cf.ac.uk/id/eprint/131150

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