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首页> 外文期刊>Journal of geophysical research. Earth Surface: JGR >Sorted bed forms as self-organized patterns: 2. Complex forcing scenarios
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Sorted bed forms as self-organized patterns: 2. Complex forcing scenarios

机译:将床形式排序为自组织模式:2.复杂的强迫情形

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We employ a numerical model to study the development of sorted bed forms under a variety of hydrodynamic and sedimentary conditions. Results indicate that increased variability in wave height decreases the growth rate of the features and can potentially give rise to complicated, a priori unpredictable, behavior. This happens because the system responds to a change in wave characteristics by attempting to self-organize into a patterned seabed of different geometry and spacing. The new wavelength might not have enough time to emerge before a new change in wave characteristics occurs, leading to less regular seabed configurations. The new seabed configuration is also highly dependent on the preexisting morphology, which further limits the possibility of predicting future behavior. For the same reasons, variability in the mean current magnitude and direction slows down the growth of features and causes patterns to develop that differ from classical sorted bed forms. Spatial variability in grain size distribution and different types of net sediment aggradation/degradation can also result in the development of sorted bed forms characterized by a less regular shape. Numerical simulations qualitatively agree with observed geometry (spacing and height) of sorted bed forms. Also in agreement with observations is that at shallower depths, sorted bed forms are more likely to be affected by changes in the forcing conditions, which might also explain why, in shallow waters, sorted bed forms are described as ephemeral features. Finally, simulations indicate that the different sorted bed form shapes and patterns observed in the field might not necessarily be related to diverse physical mechanisms. Instead, variations in sorted bed form characteristics may result from variations in local hydrodynamic and/or sedimentary conditions.
机译:我们采用一个数值模型来研究在各种水动力和沉积条件下分类床形式的发展。结果表明,波高变化性的增加会降低特征的增长率,并有可能引起复杂的先验不可预测的行为。发生这种情况是因为系统通过尝试自组织为具有不同几何形状和间距的图案化海床来响应波浪特征的变化。在波特性发生新变化之前,新波长可能没有足够的时间出现,从而导致不太规则的海底构造。新的海底构造也高度依赖于先前存在的形态,这进一步限制了预测未来行为的可能性。出于相同的原因,平均电流大小和方向的变化会减慢特征的增长,并导致形成不同于经典分床形式的模式。粒度分布的空间变异性和净沉积物的不同类型的凝结/降解也会导致以形状较不规则的形式出现的分选床形式的发展。数值模拟在质量上与分拣床形式的观察到的几何形状(间距和高度)一致。同样与观察结果一致的是,在较浅的深度,分类床形式更可能受到强迫条件变化的影响,这也可以解释为什么在浅水区中,分类床形式被描述为短暂特征。最后,模拟表明,在现场观察到的不同分类床的形状和图案不一定与各种物理机制有关。相反,分选床形式特征的变化可能是由于局部流体动力和/或沉积条件的变化而引起的。

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