Discussion of “Longitudinal Mixing in Natural Streams”

1968 ◽  
Vol 94 (3) ◽  
pp. 566-571
Author(s):  
Hugo B. Fischer ◽  
Nobuhiro Yotsukura
2020 ◽  
Author(s):  
Hyoungchul Park ◽  
Jinhwan Hwang

<p>In natural streams, vegetation considerably has an influence on the flow characteristics in a variety of ways. For example, vegetation distorts flow structure in both lateral and vertical directions and changes the magnitude of turbulence and shear flow. Due to these effects, diluted contaminants in river transport and disperse differently. Accordingly, many previous researchers have investigated the impact of vegetation on the mixing process. Most of them have estimated the dispersion coefficient since this is the crucial parameter to quantify the degree of dispersion of contaminants numerically. They mainly studied in diverse characteristics of vegetation, such as density or submergence, etc., and identified the change in hydraulic parameters involving the dispersion coefficient.</p><p>In this work, considering the vegetation distributed in various forms in the natural river, we studied the effect of vegetation patterns on the longitudinal mixing coefficient. Six types of spatial patterns considered in this study are represented numerically by introducing the standardized Morisita index. Laboratory experiments with artificial emergent vegetation were performed in multiple vegetation patterns, and the longitudinal dispersion coefficient was estimated from the measured concentration curves by applying the routing technique. And we analyzed the cause of change in dispersion coefficient by calculating not only the dispersion coefficient but also the magnitude of mean velocity, shear flow, turbulence, etc.</p><p>According to the experimental results, the mean velocity in the vegetated channel is almost the same regardless of the type of pattern but is always lower than that in the non-vegetated channel. The longitudinal dispersion coefficient gets larger as the arrangement changes from uniform to 2D clumped pattern. The cause of change in coefficient is closely related to the spatial velocity gradients in both lateral and vertical directions since the spatial heterogeneity of velocity increases the magnitude of shear flow.</p>


1967 ◽  
Vol 93 (5) ◽  
pp. 67-90
Author(s):  
Edward L. Thackston ◽  
Peter A. Krenkel

1969 ◽  
Vol 95 (1) ◽  
pp. 150-151
Author(s):  
Edward L. Thackston ◽  
Peter A. Krenkel

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1145
Author(s):  
Patricio Fuentes-Aguilera ◽  
Diego Caamaño ◽  
Hernán Alcayaga ◽  
Andrew Tranmer

Accurate prediction of pollutant concentrations in a river course is of great importance in environmental management. Mathematical dispersion models are often used to predict the spatial distribution of substances to help achieve these objectives. In practice, these models use a dispersion coefficient as a calibration parameter that is calculated through either expensive field tracer experiments or through empirical equations available in the scientific literature. The latter are based on reach-averaged values obtained from laboratory flumes or simple river reaches, which often show great variability when applied to natural streams. These equations cannot directly account for mixing that relates specifically to spatial fluctuations of channel geometry and complex bed morphology. This study isolated the influence of mixing related to bed morphology and presented a means of calculating a predictive longitudinal mixing equation that directly accounted for pool-riffle sequences. As an example, a predictive equation was developed by means of a three-dimensional numerical model based on synthetically generated pool-riffle bathymetries. The predictive equation was validated with numerical experiments and field tracer studies. The resulting equation was shown to more accurately represent mixing across complex morphology than those relations selected from the literature.


1960 ◽  
Vol 12 (1) ◽  
pp. 20-34 ◽  
Author(s):  
E.J. Cairns ◽  
J.M. Prausnitz

1985 ◽  
Vol 21 (2) ◽  
pp. 221-228
Author(s):  
Francis J. Ferrandino ◽  
Donald E. Aylor
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document