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MORPHOLOGIC PREDICTION FROM COUPLED GRAIN-SCALE AND EQUILIBRIUM-SCALE MODELS

机译:耦合晶粒尺度和均衡模型的形态学预测

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We have implemented two schemes that use sediment transport predictions from a detailed discrete particle model (DPM) to compute longterm, equilibrium morphology. This analysis directly couples processes acting at the grain scale (mm) to the scale of a nearshore profile (km). In the first scheme, the DPM was applied iteratively to find an equilibrium profile that resulted primarily from a balance between offshore-directed down-slope transport and onshore-directed transport driven by strong pressure gradients acting on relatively coarse sand grains. In the second scheme, the predictions from the first scheme were parameterized and the parameterized model was applied iteratively. In this case equilibrium resulted from a balance between down slope transport and a parameterization based on near bed slope and flow velocity and acceleration skewnesses. While both approaches yielded qualitatively similar results, the parameterization approach had the advantage of filtering numerical noise as well as much-reduced computational effort.
机译:我们已经实施了两种方案,它使用从详细的离散粒子模型(DPM)来计算LongTerm,平衡形态的沉积物传输预测。该分析直接将以谷物尺度(mm)的过程直接作用在近岸剖面(km)的规模上。在第一方案中,迭代地应用DPM以找到平衡轮廓,其主要来自海上导向的下坡传输和由作用在相对粗砂颗粒上的强大压力梯度驱动的陆上定向传输之间的平衡。在第二方案中,参数化来自第一方案的预测,并迭代地应用参数化模型。在这种情况下,从下坡传输和基于近床斜率和流速和加速偏斜的参数化之间的平衡导致的平衡。虽然两种方法产生了定性相似的结果,但参数化方法具有过滤数值噪声的优点以及减少的计算工作。

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