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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >The importance of accurately representing submerged vegetation morphology in the numerical prediction of complex river flow
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The importance of accurately representing submerged vegetation morphology in the numerical prediction of complex river flow

机译：精确表示淹没植被形态在复杂河水数值预测中的重要性

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This paper reports a novel method for the incorporation of complex plant morphologies into a computational fluid dynamics (CFD) model, allowing the numerical prediction of flows around individual plants. The morphological complexity, which comprises the vertical and lateral distribution of individual branches and leaves is captured through terrestrial laser scanning (TLS) and is maintained in the numerical prediction of flow fields. This is achieved where the post-processed, voxelized plant representation is incorporated into a CFD scheme through a mass flux scaling algorithm (MFSA). Flow around Prunus laurocerasus has been modelled under foliated and defoliated states following the removal of leaves. The complex plant morphologies are shown to produce spatially heterogeneous downstream velocity fields, with velocity profiles that deviate significantly from the idealized inflected shape. Rapid transition between the high velocity free stream zone and the zone of reduced velocity in the plant wake indicate shearing of flow, with the point of reattachment extending up to seven plant lengths downstream. The presence of leaves significantly modifies the flow field response, with development of a second, more pronounced wake structure around the dense foliage. This approach provides a full flow numerical description of the pressure field, enabling the vegetative drag force to be quantified. For the example given here, drag force is an order of magnitude greater for the foliated state. The methodology outlined here demonstrates the importance of accurately representing complex plant morphology in hydraulic models, and allows drag forces and coefficients to be calculated for specific plant species. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译：本文报道了一种将复杂植物形态纳入计算流体动力学（CFD）模型的新方法，该方法可以对单个植物周围的水流进行数值预测。通过地面激光扫描（TLS）捕获形态复杂性，其中包括各个分支和叶子的垂直和横向分布，并保持在流场的数值预测中。通过将后处理的体素化工厂表示通过质量通量缩放算法（MFSA）合并到CFD方案中，可以实现此目的。在去除叶子之后，已经在叶和叶状态下模拟了樱桃李周围的流动。结果表明，复杂的植物形态会产生空间上异质的下游速度场，其速度曲线明显偏离理想的弯曲形状。高速自由流区和植物尾流中降低速度区之间的快速过渡表明流量被剪切，重新连接的点一直延伸到下游的七个植物长度。叶子的存在显着改变了流场响应，并在密集的叶子周围形成了第二个更明显的尾流结构。这种方法提供了压力场的全流量数值描述，从而可以量化营养阻力。对于此处给出的示例，对于片状状态，拖曳力要大一个数量级。此处概述的方法论证明了在水力模型中准确表示复杂植物形态的重要性，并允许针对特定植物物种计算阻力和系数。版权所有（c）2015 John Wiley＆Sons，Ltd.

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