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评估一个用于再现辫状河中事件尺度侵蚀和沉积分布的数值模型。

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

作者信息

Williams R D, Measures R, Hicks D M, Brasington J

机构信息

School of Geographical and Earth Sciences University of Glasgow Glasgow UK.

National Institute of Water and Atmospheric Research Christchurch New Zealand.

出版信息

Water Resour Res. 2016 Aug;52(8):6621-6642. doi: 10.1002/2015WR018491. Epub 2016 Aug 27.

Abstract

Numerical morphological modeling 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 nonuniform 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 bed load component calculations, hydraulics, bed composition, bed load 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 characterizes the accuracy of the Gaeuman et al. bed load transport formula. Grain size distributions were best represented using two 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 data sets for model testing. Sensitivity results are transferable to guide Delft3D applications to other rivers.

摘要

采用基于物理的方法对辫状河进行数值形态建模,正日益成为一种用于探索河流形态控制因素的技术,并且从应用角度来看,还可用于模拟河道改造的影响。本文评估了一种深度平均非均匀泥沙模型(代尔夫特3D模型),以预测新西兰辫状里斯河2.5公里长河段在一次高流量事件期间的地貌动力学变化。模型性能评估主要集中于利用由地面激光扫描和光学经验测深测绘融合得到的高分辨率差分数字高程模型,来比较观测和预测的侵蚀与沉积模式以及河段尺度的泥沙收支情况。对于校准后的模型,还补充了平面形态指标(如辫状强度)。对模型函数和参数进行了广泛的敏感性分析,包括对推移质输沙量计算的数值格式、水力学、河床组成、推移质输运和河床坡度效应、河岸侵蚀以及计算频率的考虑。预测的侵蚀和沉积总量与观测值吻合良好。预测侵蚀量与观测侵蚀量之间的差异小于盖曼等人推移质输运公式精度所表征的两倍系数。采用两个粒径区间能最好地表示粒径分布。对于非恒定流,结果对形态时间尺度因子较为敏感。比较观测和预测的形态泥沙收支情况的方法显示了利用自然实验数据集进行模型测试的价值。敏感性分析结果可用于指导代尔夫特3D模型在其他河流中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c378/5042110/67bdbf32ea5e/WRCR-52-6621-g001.jpg

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