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Hydraulic validation of two-dimensional simulations of braided river flow with spatially continuous aDcp data

机译:利用空间连续aDcp数据对辫状河水流进行二维模拟的水力验证

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摘要

Gravel-bed braided rivers are characterized by shallow, branching flow across low relief, complex and mobile bed topography. These conditions present a major challenge for the application of higher dimensional hydraulic models, the predictions of which are nevertheless vital to inform flood risk and ecosystem management. This paper demonstrates how high-resolution topographic survey and hydraulic monitoring at a density commensurate with model discretization can be used to advance hydrodynamic simulations in braided rivers. Specifically, we detail applications of the shallow water model, Delft3d, to the Rees River, New Zealand, at two nested scales: a 300 m braid bar unit and a 2.5 km reach. In each case, terrestrial laser scanning was used to parameterize the topographic boundary condition at hitherto unprecedented resolution and accuracy. Dense observations of depth and velocity acquired from a mobile acoustic Doppler current profiler (aDcp), along with low-altitude aerial photography, were then used to create a data-rich framework for model calibration and testing at a range of discharges. Calibration focused on the estimation of spatially uniform roughness and horizontal eddy viscosity, ?H, through comparison of predictions with distributed hydraulic data. Results revealed strong sensitivity to ?H, which influenced cross-channel velocity and localization of high shear zones. The high resolution bed topography partially accounts for form resistance and the recovered roughness was found to scale by 1.2-1.4 D84 grain diameter. Model performance was good for a range of flows, with minimal bias and tight error distributions, suggesting acceptable predictions can be achieved with spatially uniform roughness and ?H.
机译:砾石层辫状河的特征是,在低浮雕,复杂而活动的河床地形上分流较浅。这些条件对于高维水力模型的应用提出了重大挑战,然而,其预测对于告知洪水风险和生态系统管理至关重要。本文演示了如何在与模型离散相称的密度下进行高分辨率地形测量和水力监测,以促进辫状河流的水动力模拟。具体来说,我们详细介绍了浅水模型Delft3d在两个嵌套尺度上在新西兰里斯河的应用:一个300 m的编织杆单元和一个2.5 km的伸展距离。在每种情况下,都使用地面激光扫描以前所未有的分辨率和精度对地形边界条件进行参数化。从移动多普勒电流剖面仪(aDcp)获得的深度和速度的密集观测以及低空航拍,随后被用于创建一个数据丰富的框架,用于在一系列放电范围内进行模型校准和测试。校准的重点是通过将预测结果与分布式水力数据进行比较,估算出空间均匀的粗糙度和水平涡流粘度ΔH。结果显示出对ΔH的强烈敏感性,这影响了跨通道速度和高剪切带的局部化。高分辨率床形貌部分地说明了形状阻力,并且发现恢复的粗糙度与1.2-1.4 D84晶粒直径成比例。模型性能对于一定范围的流量都具有良好的性能,具有最小的偏差和紧密的误差分布,这表明可以在空间均匀的粗糙度和ΔH下获得可接受的预测。

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