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Bed composition generation for morphodynamic modeling: case study of San Pablo Bay in California, USA

机译:用于形态动力学建模的床成分生成:美国加利福尼亚州圣帕勃罗湾的案例研究

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Applications of process-based morphodynamic models are often constrained by limited availability of data on bed composition, which may have a considerable impact on the modeled morphodynamic development. One may even distinguish a period of "morphodynamic spin-up" in which the model generates the bed level according to some ill-defined initial bed composition rather than describing the realistic behavior of the system. The present paper proposes a methodology to generate bed composition of multiple sand and/or mud fractions that can act as the initial condition for the process-based numerical model Delft3D. The bed composition generation (BCG) run does not include bed level changes, but does permit the redistribution of multiple sediment fractions over the modeled domain. The model applies the concept of an active layer that may differ in sediment composition above an under-layer with fixed composition. In the case of a BCG run, the bed level is kept constant, whereas the bed composition can change. The approach is applied to San Pablo Bay in California, USA. Model results show that the BCG run reallocates sand and mud fractions over the model domain. Initially, a major sediment reallocation takes place, but development rates decrease in the longer term. Runs that take the outcome of a BCG run as a starting point lead to more gradual morphodynamic development. Sensitivity analysis shows the impact of variations in the morphological factor, the active layer thickness, and wind waves. An important but difficult to characterize criterion for a successful application of a BCG run is that it should not lead to a bed composition that fixes the bed so that it dominates the "natural" morphodynamic development of the system. Future research will focus on a decadal morphodynamic hindcast and comparison with measured bathymetries in San Pablo Bay so that the proposed methodology can be tested and optimized.
机译:基于过程的形态动力学模型的应用通常受到床层数据有限的可用性的限制,这可能会对建模的形态动力学发展产生重大影响。甚至可以区分“形态动力学旋转”时期,在该时期中,模型会根据一些未定义的初始床层组成生成床层,而不是描述系统的实际行为。本文提出了一种方法,可以生成包含多个砂和/或泥浆组分的床层成分,该方法可以作为基于过程的数值模型Delft3D的初始条件。床层生成(BCG)运行不包括床层变化,但允许在模拟域内重新分配多个沉积物部分。该模型采用了活性层的概念,该活性层在具有固定成分的底层之上的沉积物成分可能有所不同。在BCG运行的情况下,床层水平保持恒定,而床层组成可能会改变。该方法应用于美国加利福尼亚州的圣巴勃罗湾。模型结果表明,BCG运行在模型域内重新分配了沙子和泥浆部分。最初,主要的沉积物重新分配发生了,但是从长远来看,开发速度会下降。以BCG运行结果为起点的运行会导致逐步的形态动力学发展。灵敏度分析显示了形态因素,活性层厚度和风浪变化的影响。 BCG运行成功应用的一个重要但难于表征的标准是,它不应导致固定床的床组合物,从而支配系统的“自然”形态动力学发展。未来的研究将侧重于十年形态动力学后验,并与圣巴勃罗湾的测深等距进行比较,以便可以对所提出的方法进行测试和优化。

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