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Application of entropic approach to estimate the mean flow velocity and Manning roughness coefficient in a high-curvature flume

机译:熵法在高曲率水槽平均流速和曼宁粗糙度系数估算中的应用

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摘要

The entropy-based approach allows the estimation of the mean flow velocity in open channel flow by using the maximum flow velocity. The linear relationship between the mean velocity, U_(max), and the mean flow velocity, u_m, through the dimensionless parameter (M), has been verified both in natural rivers and in laboratory channels. Recently, the authors of this study investigated the reliability of the entropy-based formula in a straight channel and under different bed and side-walls' roughness conditions. The present study aims to further validate the entropy-based approach and to explore the effectiveness of entropy-based formula in high curvature channels. Results show that as the effect of the downstream variation of the channel's curvature the value of the parameter (M) varies along the bend, when the bed deformation is evident, the variation of the parameter (M) is strongly reduced compared to that obtained in absence of bed deformation. Results also show that the Manning's roughness coefficients determined through entropy-based formula are in agreement with those estimated by applying other literature's expressions but, unlike the latter, through the parameter (M) the entropy-based formula could account for the effects due to the advective momentum transport by cross-circulation along the strongly curved reaches of the channel.
机译:基于熵的方法允许通过使用最大流速来估计明渠流中的平均流速。通过无量纲参数(M),平均速度U_(max)和平均流速u_m之间的线性关系已经在天然河流和实验室河道中得到了验证。最近,这项研究的作者研究了基于熵的公式在直通道中以及在不同床层和侧壁粗糙度条件下的可靠性。本研究旨在进一步验证基于熵的方法,并探索在大曲率通道中基于熵的公式的有效性。结果表明,随着河道曲率下游变化的影响,参数(M)的值沿弯道变化,当床层变形明显时,与之相比,参数(M)的变化明显减小。在没有床变形的情况下获得。结果还表明,通过基于熵的公式确定的曼宁粗糙度系数与通过应用其他文献的表达式估算的粗糙度系数一致,但是与后者不同,通过参数(M),基于熵的公式可以解释由于平流动量通过沿通道强烈弯曲的河段的交叉循环输送。

著录项

  • 来源
    《Nordic hydrology》 |2017年第4期|634-645|共12页
  • 作者

    D.Termini; T.Moramarco;

  • 作者单位

    Dipartimento di Ingegneria Civile, Ambientale e Aerospaziale,University of Palermo,Viale delle Scienze, Palermo 90128,Italy;

    Research Institute for Geo-Hydrotogical Protection,CNR,Perugia,Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    discharge; entropy; experiments; monitoring; rivers; simulation;

    机译:排出;熵;实验;监控;河流模拟;

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