2019
DOI: 10.1007/s10652-018-09656-8
|View full text |Cite
|
Sign up to set email alerts
|

Parameterization of the modeling variables in velocity analytical solutions of open-channel flows with double-layered vegetation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
11
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 26 publications
(12 citation statements)
references
References 19 publications
1
11
0
Order By: Relevance
“…Thus, multiple layers, that is, low velocity zone within the height of short vegetation, inflection zone around the top boundary of SV, and high velocity zone above the short vegetation height, exist in the velocity profile through DLV and SV. This indicates a similarity with the velocity profiles found by previous researcher (Huai et al, 2014; Singh, Rahimi, & Tang, 2019). The velocity structure scheme through DLV (Case A) shows that the mixing layer region due to inflection nearby the top of short vegetation layer is limited because of the external drag by the tall vegetation layer, which results in reduced sharpness of velocity gradient over this region of flow.…”
Section: Resultssupporting
confidence: 90%
“…Thus, multiple layers, that is, low velocity zone within the height of short vegetation, inflection zone around the top boundary of SV, and high velocity zone above the short vegetation height, exist in the velocity profile through DLV and SV. This indicates a similarity with the velocity profiles found by previous researcher (Huai et al, 2014; Singh, Rahimi, & Tang, 2019). The velocity structure scheme through DLV (Case A) shows that the mixing layer region due to inflection nearby the top of short vegetation layer is limited because of the external drag by the tall vegetation layer, which results in reduced sharpness of velocity gradient over this region of flow.…”
Section: Resultssupporting
confidence: 90%
“…However, due to different types of vegetation and flow conditions, various methods are proposed for predicting velocity profiles. For the flows with submerged vegetation, the most common method is a two-layer approach, in which different analytical models are applied in the lower vegetation layer and the upper surface layer, using a mixing-layer analogy (Klopstra et al, 1997;Meijer & Van Velzen, 1999;Defina & Bixio, 2005;Baptist, et al, 2007;Huai, et al 2009;Yang & Choi, 2010;Nepf, 2012;Singh et al 2019;Tang, 2018). Klopstra et al (1997) proposed a two-layer model of velocity: one in the vegetation layer and one above it called the surface layer.…”
Section: Introductionmentioning
confidence: 99%
“…The complexity of vegetated channel flow can be interpreted in multiple mechanisms over the depth of flow (Katul et al, 2011;Nikora et al, 2013;Huai et al, 2014). The multiple mechanisms over different layers of flow can be modelled independently (Carollo et al, 2002;Huai et al, 2014;Tang, 2018aTang, , 2018bSingh et al, 2019). As a pre-requisite for the analysis in resistance and pollutant mixing process of flow and so on, the vertical velocity distribution in vegetated channel flow has drawn great attention of researchers (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Tsujimoto & Kitamur, 1990, Shimizu & Tsujimoto, 1994Nepf & Koch, 1999;Ghisalberti & Nepf, 2004;Kubrak, et al, 2008;Tang & Knight, 2009;Tang et al, 2010Tang et al, , 2011Nguyen, 2012;Hao et al, 2014). Many investigators have attempted to predict vertical velocity distribution based on semi-empiricism and/or analytical solution of the momentum equation with closure schemes, in which the modelling of eddy viscosity is to describe the turbulent stresses (Klopstra et al, 1997;Meijer & Van Velzen, 1999;Defina & Bixio, 2005;Baptist et al, 2007;Huai, et al, 2009Huai, et al, , 2014Yang & Choi, 2010;Dimitris & Panayotis, 2011;Nepf, 2012;Nikora et al, 2013;Tang, 2018aTang, , 2019aSingh et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation