Development and validation of a three-dimensional morphodynamic modelling system for non-cohesive sediments
Development and validation of a three-dimensional morphodynamic modelling system for non-cohesive sediments
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DOI：
10.1016/j.ocemod.2012.08.005
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发表时间：
2012-11
期刊：
影响因子：
3.2
通讯作者：
L. Pinto;A. Fortunato;Yinglong J. Zhang;Anabela Oliveira;F. Sancho
中科院分区：
文献类型：
--
作者：
L. Pinto;A. Fortunato;Yinglong J. Zhang;Anabela Oliveira;F. Sancho
由于强迫作用（如河流、潮汐、面波和风）与沉积反应之间的动态不平衡，河口和河流的形态不断变化。理解和预测这些变化对于对这些系统进行科学的、持续的管理非常重要。基于形态动力学过程的数值模型可用于此目的。介绍了一种新型三维非结构化网格形态动力学建模系统MORSELFE的开发和验证，该系统旨在模拟河口和沙河的短期形态演化（时间尺度为天到月）。 MORSELFE 将三维水动力模型与悬浮沉积物的平流扩散传输模型、床荷载经验公式以及床更新模块相结合。该模型考虑了非粘性沉积物的模拟，并且没有考虑波浪效应。提出了一种计算侵蚀通量的新方法，使其适应垂直网格分辨率。非结构化网格的使用和并行模式的实现使MORSELFE特别适合工程应用。该模型根据分析和实验测试用例进行了评估和验证，还可以推断模型参数和变量的最佳选择。
The morphology of estuaries and rivers changes constantly due to the dynamic imbalance between the forcing actions (e.g. river flow, tides, surface waves and wind) and the sedimentary reactions. Understanding and predicting these changes are very important for an scientific-based, sustained management of these systems. Morphodynamic process-based numerical models can be used for this purpose. The development and validation of a new three-dimensional unstructured grid morphodynamic modelling system, MORSELFE, aiming at simulating short-term morphological evolutions of estuaries and sandy rivers (temporal scale of days to month), are presented. MORSELFE couples a three-dimensional hydrodynamic model, with an advection–diffusion transport model for the suspended sediments, an empirical formula for the bed load, and a bed updating module. The model considers the simulation of non-cohesive sediment and does not account for wave effects. A new approach is proposed to compute the erosive fluxes, which adapts them to the vertical grid resolution. The use of unstructured grids and the implementation in parallel mode make MORSELFE particularly adapted to engineering applications. The model was assessed and validated against analytical and experimental test cases, also allowing the inference on the optimum choice of the model parameters and variables.