Longitudinal dispersion coefficients in natural channels

Longitudinal dispersion coefficients in natural channels
复制标题

DOI:
10.1016/s0043-1354(01)00351-7
复制
发表时间:
2002-03-01
期刊:
影响因子:
12.8
通讯作者:
Falconer, RA
Falconer, RA
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Kashefipour, SM;Falconer, RA

文献摘要

被引文献

相似文献

本文根据美国30条河流的81组实测资料,详细介绍了推算河流纵向弥散系数的公式。该方程将弥散系数与水流的水力参数和几何参数联系起来,并通过量纲分析和回归分析得到。相关系数高(R-2=0.84)。该公式已与许多其他现有的经验公式进行了比较。常用于预测河流水流的纵向弥散系数,并基于四种不同的统计方法进行了比较。这些统计比较表明,新的方程似乎比考虑的其他方程更准确。然后将新的色散方程与Seo和Cheong(J.Hydraul,Eng.)最近提出的类似方程线性组合。ASCE124(1998)25),并用统计方法对该组合方程进行了分析。将已有的估算纵向弥散系数的经验公式和本文提出的新公式包含在平流弥散方程中,用于预报英格兰东北海岸亨伯河口三个站点的悬沙浓度。建议的新弥散方程的预测场数据和实测场数据之间的平均百分比误差小于使用以前记录的方程所获得的百分比误差。(C)2002爱思唯尔科学有限公司。保留所有权利。
Details are given herein, of the development of an equation for predicting the longitudinal dispersion coefficient in riverine flows, based on 81 sets of measured data, and obtained from 30 rivers in the USA. This equation relates the dispersion coefficient to the hydraulic and geometric parameters of the flow and has been derived using dimensional and regression analysis. with a high correlation coefficient (i.e. R-2 = 0.84). The formulation has been compared with many other existing empirical equations. frequently used to predict the longitudinal dispersion coefficient in riverine flows, with the comparisons based on four different statistical methods. These statistical comparisons have shown that the new equation appears to be more accurate than the other equations considered. The new dispersion equation was then linearly combined with a similar equation recently proposed by Seo and Cheong (J. Hydraul, Eng. ASCE 124 (1998) 25) and this combined equation was then also analysed using statistical methods. The existing empirical equations used to estimate the longitudinal dispersion coefficient and the new equations proposed in this study were included in the advective dispersion equation to predict the suspended sediment concentrations at three sites in the Humber Estuary sited along the northeast coast of England. The average percentage errors between the predicted- and measured-field data for the proposed new dispersion equations were less than those obtained using the previously documented equations. (C) 2002 Elsevier Science Ltd. All rights reserved.