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梯形断面明渠中纵向离散系数研究
引用本文:陈永灿,朱德军.梯形断面明渠中纵向离散系数研究[J].水科学进展,2005,16(4):511-517.
作者姓名:陈永灿  朱德军
作者单位:清华大学水利水电工程系, 北京, 100084
基金项目:国家自然科学基金资助项目(50279017),高等学校优秀青年教师教学科研奖励计划资助项目~~
摘    要:基于最大信息熵原理,提出了一种确定梯形断面纵向流速分布的方法,研究了梯形断面明渠中流动横向不均匀和垂向不均匀对纵向离散的影响,建立了一个针对梯形断面明渠流动的纵向离散系数计算公式。公式将纵向离散系数与反映断面流速分布不均匀和壁面影响的参数建立联系,机理更加清楚,预测结果与其他学者相应的实验结果吻合良好,该方法理论推导过程严密,不依赖于特定的试验结果或实际测量资料,为梯形断面明渠的污染物混合输移过程中参数确定提供了有效的方法和途径。

关 键 词:梯形断面    明渠    纵向离散系数    流速分布    信息熵
文章编号:1001-6791(2005)04-0511-07
收稿时间:2004-05-08
修稿时间:2004年5月8日

Study on longitudinal dispersion coefficient in open channel trapezoidal cross-section
Chen Yong-can,Zhu De-Jun.Study on longitudinal dispersion coefficient in open channel trapezoidal cross-section[J].Advances in Water Science,2005,16(4):511-517.
Authors:Chen Yong-can  Zhu De-Jun
Institution:Department ofHydraulic Engineering, Tsinghua University, Beijing 100084, China
Abstract:Based on the maximum entropy principle, a velocity formula is derived to describe the variation of longitudinal ve- locity in both the vertical and transverse directions in a open channel with trapezoidal cross-section.The effect on the longitu- dinal dispersion coefficient of the inhomogeneity in the vertical and transverse directions of the flow is studied. And the conclu- sions fairly agree with the work of other researchers.A formula for predicting the longitudinal dispersion coefficient in a open channels with trapezoidal cross-section is proposed.According to the formula, the longitudinal dispersion coefficient is deter- mined by two parameters which reflect the inhomogeneity of the velocity distribution and the influence of channel walls.The method on the longitudinal dispersion in this paper is not based on some special experimental results or the field data.Because of the solid theoretical basis, this method can be used as an efficient tool to determine the longitudinal dispersion coefficient in any open channels with trapezoidal cross-section.
Keywords:trapezoidal cross-section  open channel  longitudinal dispersion coefficient  velocity distribution  information entropy
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