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The settling dynamics of flocculating mud and sand mixtures: part 2-numerical modelling

机译:絮凝的泥沙混合物的沉降动力学:第2部分:数值模拟

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Estuarine and coastal sediment transport is characterised by the transport of both sand-sized particles (of diameter greater than 63 μm) and muddy fine-grained sediments (silt, diameter less than 63 urn; clay, diameter less than 2 μm). These fractions are traditionally considered as non-cohesive and cohesive, respectively, because of the negligible physico-chemical attraction that occurs between sand grains. However, the flocculation of sediment particles is not only caused by physico-chemical attraction. Cohesivity of sediment is also caused by biology, in particular the sticky extra-cellular polymeric substances secreted by diatoms, and the effect of biology in binding sediment particles can be much larger than that of physico-chemical attraction. As demonstrated by Manning (2008) and further expanded in part 1 of this paper (Manning et al., submitted), the greater binding effect of biology allows sand particles to flocculate with mud. In many estuaries, both the sand and fine sediment fractions are transported in significant quantities. Many of the more common sediment transport modelling suites now have the capability to combine mud and sand transport. However, in all of these modelling approaches, the modelling of mixed sediment transport has still essentially separated the modelling of sand and mud fractions assuming that these different fractions do not interact except at the bed. However, the use of in situ video techniques has greatly enhanced the accuracy and reliability of settling velocity measurements and has led to a re-appraisal of this widely held assumption. Measurements of settling velocity in mixed sands presented by Manning et al. (2009) have shown strong evidence for the flocculation of mixed sediments, whilst the greater understanding of the role of biology in flocculation has identified mechanisms by which this mud-sand flocculation can occur. In the first part of this paper (Manning et al., submitted), the development of an empirical flocculation model is described which represents the interaction between sand and mud particles in the flocculation process. Measurements of the settling velocity of varying mud-sand mixtures are described, and empirical algorithms governing the variation of settling velocity with turbulence, suspended sediment concentration and mud-sand content are derived. The second part of this paper continues the theme of examination of the effects of mud-sand interaction on flocculation. A 1DV mixed transport model is developed and used to reproduce the vertical transport of mixed sediment fractions. The 1DV model is used to reproduce the measured settling velocities in the laboratory experiments described in the part 1 paper and also to reproduce measurements of concentration of mixed sediments in the Outer Thames. In both modelling exercises, the model is run using the algorithms developed in part 1 and repeated using an assumption of no interaction between mud and sand in the flocculation process. The results of the modelling show a significant improvement in the ability of the 1DV to reproduce the observed sediment behaviour when the empirical equations are used. This represents further strong evidence of the interaction between sand and mud in the flocculation process.
机译:河口和沿海沉积物的传输特征是沙粒(直径大于63μm)和泥状细颗粒沉积物(粉砂,直径小于63 um;黏土,直径小于2μm)的传输。由于在砂粒之间发生的理化吸引力可忽略不计,传统上将这些部分分别视为非粘结性和粘结性的。然而,沉积物颗粒的絮凝不仅是由物理化学吸引引起的。沉积物的内聚力也是由生物学引起的,尤其是硅藻分泌的粘性细胞外聚合物质,生物学对结合沉积物颗粒的影响可能远大于物理化学吸引作用。正如Manning(2008)所证明的,并在本文的第1部分中进行了进一步扩展(Manning等人,已提交),生物学的更大结合作用使沙子颗粒随泥土絮凝。在许多河口,大量的沙子和细小沉积物都被运输。现在,许多较常见的泥沙输送建模套件都具有结合泥沙输送的功能。但是,在所有这些建模方法中,假设这些不同的部分除了在床层之外不会相互作用,混合的沉积物传输模型仍然基本上将砂和泥浆部分的模型分开。但是,原位视频技术的使用极大地提高了沉降速度测量的准确性和可靠性,并导致对该广泛持有的假设的重新评估。 Manning等人提出的在混合砂中沉降速度的测量。 (2009年)已经为混合沉积物的絮凝提供了有力的证据,而对生物学在絮凝中作用的更深入的了解已经确定了这种泥沙絮凝的发生机理。在本文的第一部分(Manning等人,已提交),描述了一种经验絮凝模型的发展,该模型代表了絮凝过程中沙子和泥浆颗粒之间的相互作用。描述了各种泥沙混合物沉降速度的测量,并得出了控制沉降速度随湍流,悬浮泥沙浓度和泥沙含量变化的经验算法。本文的第二部分继续主题研究泥沙相互作用对絮凝的影响。建立了1DV混合输运模型,并将其用于再现混合沉积物馏分的垂直运移。 1DV模型用于在第1部分中描述的实验室实验中重现测得的沉降速度,还用于重现泰晤士河外混合沉积物浓度的测量值。在这两个建模练习中,均使用第1部分中开发的算法来运行模型,并使用絮凝过程中泥沙之间没有相互作用的假设进行重复。建模结果表明,当使用经验方程时,1DV再现被观测沉积物行为的能力有了显着提高。这进一步证明了絮凝过程中沙土之间的相互作用。

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