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Tidal propagation over fluid mud layers on the Amazon shelf

机译:潮汐在亚马逊陆架上的流体泥浆层上传播

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Dense layers Of Suspended fine sediments (concentrations of the order of 10(1)-10(2) g1(-1)) have been observed within the lower similar to2-4 m of the water column on the Amazon continental shelf. The presence of these fluid mud layers leads to an increase in the fluid viscosity and density, and has been suggested to reduce the bottom shear stress, thus affecting the tidal wave propagation. This work presents a numerical study of the effects of fluid mud upon the tidal flow in the Amazon shelf. A two dimensional, vertically integrated, finite element numerical model has been configured to the region, for simulating the propagation of the M, tidal component. Bottom shear stress over fluid mud layers is parameterized based on a viscous oscillatory boundary layer model, while over sand and consolidated mud beds is Computed with a classical turbulent parameterization. Simulations in which the shelf is considered to consist only of sand, or of sand and consolidated muds, significantly underestimate the tidal amplitudes alone the coast. Otherwise, if the presence of the fluid mud layers is taken into account, the distribution of which is derived front previous observations, the tidal amplitudes are well represented by the model. The results demonstrate that the presence of near-bottom fluid mud layers represent an important factor in the dynamics of the Amazon continental shelf, since reducing the bottom stress and, therefore, lowering the energy dissipation, larger tidal amplitudes are allowed to occur. (C) 2004 Elsevier Ltd. All rights reserved.
机译:在类似于亚马逊大陆架水柱的2-4 m的下部发现了悬浮的细沉积物的密集层(浓度约为10(1)-10(2)g1(-1))。这些流体泥浆层的存在导致流体粘度和密度的增加,并已被建议降低底部剪切应力,从而影响潮汐波的传播。这项工作提出了流体泥浆对亚马逊陆架潮汐影响的数值研究。已对该区域配置了二维,垂直积分的有限元数值模型,用于模拟M潮汐分量的传播。基于粘性振荡边界层模型对流体泥浆层的底部剪切应力进行参数化,而对沙质和固结泥浆层的底部剪切应力进行经典湍流参数化计算。认为架子仅由沙子或沙子和固结的泥浆组成的模拟大大低估了仅靠海岸的潮汐幅度。否则,如果考虑到流体泥浆层的存在(其分布是从先前的观测资料中得出的),则该模型可以很好地表示潮汐振幅。结果表明,近底流体泥浆层的存在是亚马逊大陆架动力学的重要因素,因为降低了底部应力并因此降低了能量耗散,因此允许出现更大的潮汐幅度。 (C)2004 Elsevier Ltd.保留所有权利。

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