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Assessment of a numerical model to reproduce event-scale erosion and deposition distributions in a braided river

机译:评估数值模型,以再现辫状河流中的事件规模侵蚀和沉积分布

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摘要

Numerical morphological modelling of braided rivers, using a physics-based approach, is increasingly used as a technique to explore controls on river pattern and, from an applied perspective, to simulate the impact of channel modifications. This paper assesses a depth averaged non-uniform sediment model (Delft3D) to predict the morphodynamics of a 2.5 km long reach of the braided Rees River, New Zealand, during a single high-flow event. Evaluation of model performance primarily focused upon using high-resolution Digital Elevation Models (DEMs) of Difference, derived from a fusion of terrestrial laser scanning and optical empirical bathymetric mapping, to compare observed and predicted patterns of erosion and deposition, and reach scale sediment budgets. For the calibrated model, this was supplemented with planform metrics (e.g. braiding intensity). Extensive sensitivity analysis of model functions and parameters was executed, including consideration of numerical scheme for bedload component calculations, hydraulics, bed composition, bedload transport and bed slope effects, bank erosion and frequency of calculations. Total predicted volumes of erosion and deposition corresponded well to those observed. The difference between predicted and observed volumes of erosion was less than the factor of two that characterises the accuracy of the Gaeuman et al. bedload transport formula. Grain size distributions were best represented using two-phi intervals. For unsteady flows, results were sensitive to the morphological time scale factor. The approach of comparing observed and predicted morphological sediment budgets shows the value of using natural experiment datasets for model testing. Sensitivity results are transferable to guide Delft3D applications to other rivers.
机译:越来越多地使用基于物理的方法对辫状河流进行数值形态建模,以探索对河流格局的控制,并从应用的角度来模拟河道改造的影响。本文评估了平均深度非均匀沉积物模型(Delft3D),以预测在单个高流量事件中,编织的里斯河(新西兰)2.5公里长的河段的形态动力学。对模型性能的评估主要集中在使用差分数字高程模型(DEM),该模型源自地面激光扫描和光学经验测深图绘制,以比较观测和预测的侵蚀和沉积模式,并达到规模的沉积物预算。对于校准的模型,此模型补充了平面度量(例如编织强度)。对模型功能和参数进行了广泛的敏感性分析,包括考虑了床荷载分量计算的数值方案,水力,床组成,床荷载输送和床坡效应,河岸侵蚀和计算频率。预计的侵蚀和沉积总量与观察到的相当吻合。预测的侵蚀量与观察到的侵蚀量之间的差异小于表征Gaeuman等人的准确性的因子2。载重运输公式。晶粒尺寸分布最好用两个phi间隔来表示。对于非稳定流动,结果对形态学时标因子敏感。比较观察到的和预测的形态沉积物预算的方法表明了使用自然实验数据集进行模型测试的价值。灵敏度结果可转移,以指导Delft3D应用程序到其他河流。

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