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An enhanced depth-averaged tidal model for morphological studies in the presence of rotary currents

机译:旋转电流存在下用于形态研究的增强的深度平均潮汐模型

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摘要

A simple and efficient method to improve morphological predictions using depth-averaged tidal models is presented. The method includes the contribution of secondary flows in sediment transport using the computed flow field from a depth-averaged model. The method has been validated for a case study using the 3D POLCOMS model and ADCP data. The enhanced depth-averaged tidal model along with the SWAN wave model are applied to morphological prediction around the Lleyn Peninsula and Bardsey Island as a case study in the Irish Sea. Due to the presence of a headland in this area two asymmetrical tidal eddies are developed in which the cyclonic eddy is stronger as a result of Coriolis effects. The results show that the enhanced model can effectively predict formation of sand banks at the centre of cyclonic eddies, while the depth-averaged model, due to its inability to accommodate secondary flow, is inadequate in this respect. (c) 2006 Elsevier Ltd. All rights reserved.
机译:提出了一种使用深度平均潮汐模型改善形态预测的简单有效的方法。该方法包括使用从深度平均模型计算得到的流场,在泥沙输送中产生二次流的贡献。该方法已经过使用3D POLCOMS模型和ADCP数据进行案例研究的验证。以爱尔兰海域为例,将增强的深度平均潮汐模型与SWAN波模型一起用于Lleyn半岛和Bardsey岛周围的形态预测。由于在该区域存在岬角,因此开发了两个不对称的潮汐涡流,其中,由于科里奥利效应,旋风涡流更强。结果表明,改进的模型可以有效地预测旋风涡旋中心沙洲的形成,而深度平均模型由于不能适应二次流,在这方面是不够的。 (c)2006 Elsevier Ltd.保留所有权利。

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