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Evaluation of bedload transport predictions using flow resistance equations to account for macro-roughness in steep mountain streams

机译:使用流阻方程考虑陡峭山间溪流的宏观粗糙度,评估床荷运输预测

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摘要

Steep mountain streams typically feature macro-roughness elements like boulders, step-pool sequences, and a varying channel width. Flow resistance because of such roughness elements appears to be an important control on bedload transport rates. Many commonly used bedload transport equations overestimate the transport in steep streams by orders of magnitude. Few approaches take into account the typical macro-roughness elements, and systematic tests of these models with field observations are lacking. In the present study several approaches were considered that allow calculating the contribution of macro-roughness elements to flow resistance. These approaches were combined with bedload transport equations and the predictions were compared to field measurements of discharge, transported bedload volumes, and channel characteristics in 13 Swiss mountain streams. The streams have channel slopes ranging from 2% to 19%, and catchment areas of 0.5 to 170 km~2. For six streams there were time series of sediment yields, mostly measured annually, and for the other seven streams sediment volume estimates were available for large flood events in 2000 and 2005. All tested equation combinations achieved an improvement in bedload prediction compared to a reference equation that was uncorrected for macro-roughness. The prediction accuracy mainly depended on the size and density of the macro-roughness and on flow conditions. The best performance overall was achieved by an empirical approach accounting for macro-roughness, on the basis of an independent data set of flow resistance measurements.
机译:陡峭的山间溪流通常具有巨石粗糙度元素,例如巨石,阶跃水池序列和变化的河道宽度。由于这种粗糙元素而引起的流动阻力似乎是控制床载运输速率的重要控制。许多常用的床载运输方程式高估了陡流中的运输量,数量级高。很少有方法考虑到典型的宏观粗糙度因素,并且缺乏对这些模型进行现场观察的系统测试。在本研究中,考虑了几种方法,这些方法可以计算宏观粗糙度元素对流动阻力的贡献。这些方法与床载运输方程式相结合,并将预测结果与实地测量的13条瑞士山区河流的流量,运输的床载量和河道特征进行了比较。溪流的河道坡度为2%至19%,集水面积为0.5至170 km〜2。对于六个溪流,有一系列的沉积物产量时间序列,大部分是每年测量的,而对于其他七个溪流,在2000年和2005年的大洪水事件中,泥沙量的估算是可用的。与参考方程相比,所有测试的方程组合均实现了床荷预测的改进尚未针对宏观粗糙度进行校正。预测精度主要取决于宏观粗糙度的大小和密度以及流动条件。在独立的流动阻力测量数据集的基础上,采用经验方法解决了宏观粗糙度,从而获得了最佳的总体性能。

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  • 来源
    《Water resources research》 |2011年第8期|p.W08513.1-W08513.21|共21页
  • 作者单位

    Mountain Hydrology and Torrents Unit, WSL Swiss Federal Institute for Forest, Snow and Avalanche Research SLF, Birmensdorf, Switzerland;

    Mountain Hydrology and Torrents Unit, WSL Swiss Federal Institute for Forest, Snow and Avalanche Research SLF, Birmensdorf, Switzerland;

    Mountain Hydrology and Torrents Unit, WSL Swiss Federal Institute for Forest, Snow and Avalanche Research SLF, Birmensdorf, Switzerland;

    Mountain Hydrology and Torrents Unit, WSL Swiss Federal Institute for Forest, Snow and Avalanche Research SLF, Birmensdorf, Switzerland;

    Mountain Hydrology and Torrents Unit, WSL Swiss Federal Institute for Forest, Snow and Avalanche Research SLF, Birmensdorf, Switzerland;

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