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Characterizing chaotic dispersion in a coastal tidal model

机译:表征沿海潮汐模型中的混沌弥散

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摘要

Diverse Lagrangian methods are used to study dispersion and mixing in a model in the Norwegian Trondheim fjord. We focus on the tidally driven currents, neglecting wind-forcing, and generate a large number of particle trajectories. We first consider traditional measures (absolute and relative dispersion) involving averages over all particles. We then contour those measures, to gauge the spatial variations. Then we examine a more recently developed measure, the direct Lyapunov exponent (DLE), to further refine the description of the spatial variability. The results suggest regions of strong mixing adjacent to regions with weak mixing, so that particles in nearby regions may experience very distinct evolutions. And M-2 dominates the dispersion; adding additional tidal components affects mainly the amplitude of the particle excursions rather than the character of the mixing. (c) 2006 Elsevier Ltd. All rights reserved.
机译:在挪威特隆赫姆峡湾的一个模型中,使用了多种拉格朗日方法来研究分散和混合。我们关注潮汐驱动的电流,忽略风力,并生成大量的粒子轨迹。我们首先考虑涉及所有粒子平均值的传统测量(绝对和相对分散)。然后,我们勾勒出这些度量的轮廓,以衡量空间变化。然后,我们检查了最近开发的度量,即直接Lyapunov指数(DLE),以进一步完善对空间变异性的描述。结果表明,强混合区域与弱混合区域相邻,因此附近区域的颗粒可能经历非常不同的演化。 M-2控制色散;添加额外的潮汐成分主要影响粒子偏移的幅度,而不是影响混合特性。 (c)2006 Elsevier Ltd.保留所有权利。

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