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Probability distributions of bed load transport rates: A new derivation and comparison with field data

机译:床载运输速率的概率分布:一种新的推导和与现场数据的比较

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摘要

It has been known for a long time that sediment transport rates can vary strongly even if the ambient hydraulic conditions remain steady. In this article, a new approach is described to derive probability distributions of bed load transport rates, starting from the waiting time between the arrivals of individual sediment particles. The formalism should be valid when transport is not dominated by bed form motion. Without any assumptions about the distribution of interarrival times, the approach yields the Bimbaum-Saunders distribution, a two-parameter distribution previously used in lifetime modeling. Observed dependence of mean transport rates on the sampling time and multiscaling are predicted by the distribution. Assuming exponentially and Poisson-distributed interarrival times, the same approach yields the Poisson and the gamma distributions. Using a high-resolution bed load transport data set from the Pitzbach, Austria, the distribution functions are tested on field data. The gamma distribution best describes the data, with maximum deviations of ~5%. However, the Birnbaum-Saunders distribution may be more useful in certain applications, as it is a general approximation in the proposed formalism and no debated assumptions are necessary for its derivation.
机译:长期以来,众所周知,即使周围的水力条件保持稳定,沉积物的输送速度也会发生很大变化。在本文中,描述了一种新方法,该方法可从单个沉积物颗粒到达之间的等待时间开始,得出床层负荷输送速率的概率分布。当运输不受床形运动的支配时,形式主义应该是有效的。在没有关于到达间隔时间分布的任何假设的情况下,该方法会生成Bimbaum-Saunders分布,这是以前在寿命模型中使用的两参数分布。分布预测了观测到的平均传输速率对采样时间和多尺度的依赖性。假设指数和泊松分布的到达时间,相同的方法将产生泊松和伽玛分布。使用来自奥地利Pitzbach的高分辨率床载运输数据集,对分布函数进行了现场数据测试。伽玛分布最能描述数据,最大偏差约为5%。但是,Birnbaum-Saunders分布在某些应用中可能更有用,因为它是拟议形式主义中的一般近似,并且不需要任何有争议的假设即可得出。

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  • 来源
    《Water resources research 》 |2010年第8期| P.W08501.1-W08501.10| 共10页
  • 作者

    Jens M. Turowski;

  • 作者单位

    Eidgenoessische Forschungsanstalt WSL Birmensdorf, Zurcherstrasse 111, 8903 Birmensdorf, Switzerland;

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  • 正文语种 eng
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