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

机译:耦合的粮食规模和均衡规模模型的形态预测

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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,这些方案使用来自详细离散颗粒模型(DPM)的沉积物迁移预测来计算长期的平衡形态。该分析将作用于晶粒度(mm)的过程与近岸剖面的尺度(km)直接耦合。在第一种方案中,将DPM迭代应用以找到一个平衡曲线,该平衡曲线主要是由作用在相对粗大的沙粒上的强压力梯度驱动的海上定向下坡运输与陆上定向运输之间的平衡产生的。在第二种方案中,对第一种方案的预测进行参数化,然后对参数化模型进行迭代应用。在这种情况下,平衡是由于下坡输运与基于近床层坡度以及流速和加速度偏度的参数化之间的平衡所致。虽然这两种方法在质量上都相似,但参数化方法的优点是可以过滤数字噪声并减少计算量。

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