Flow behaviour in a multi-layered vegetated floodplain region of a compound channel
Significance of the present work Analysis of velocity indicates the damping of velocity in downstream of channel in multi-layered vegetation compared with single layered.Analysis of turbulent intensities and turbulent kinetic energy indicates dominance in the slope and main channel region.Integral scale analysis shows the dominance of uniform triple-layered vegetation over non-uniform triple-layered vegetation.Octant analysis shows the importance of vegetation in determining different bursting events in the cross-section of a compound channel.
Abstract
Riparian vegetation plays a crucial role in determining the flow behaviour in the channel. The effect of flow on the slope and main channel varies based on the size, type, and density of floodplain vegetation in a compound channel. Though real field vegetation distribution is non-uniform, most studies mainly concentrate on uniformly distributed vegetation with fixed vegetation height. This paper attempts to address this issue through laboratory studies as it was not explored properly. Flow properties like velocity, Reynolds shear stress, turbulence intensities, and turbulent kinetic energy behave differently in heterogeneous vegetated channel compared with the homogeneous vegetated channel. These flow properties in the slopes and main channel section are more pronounced for uniformly distributed vegetation than non-uniform distribution. The multi-layered/varying vegetation height showed higher velocity, turbulent intensity, and turbulent kinetic energy than single-layered/constant vegetation height on slopes and main channel sections. Integral scales (Taylor and Euler) analysis showed greater magnitude for uniform multi-layered vegetation than non-uniform multi-layered vegetation. Further, the study of octant analysis reveals that internal outward and internal inward interaction events dominate the slope floodplain interaction section, which is not seen in no-vegetation cases. These studies give a better perspective to understand flow in heterogenous vegetation and move closer to real field scenarios.
1 INTRODUCTION
Aquatic vegetation affects flow behaviour and sediment transport as it obstructs its natural flow. Most rivers are covered with vegetation in the bed and the banks. Understanding the flow and turbulent behaviour in a vegetated channel is important for studying and managing fluvial processes. Aquatic vegetation increases the flow resistance in a channel and reduces the conveyance capacity, leading to vegetation removal to increase the flow passage (Kouwen, 1992; Masterman & Thorne, 1992; Wu et al., 1999). Recently, a case study on Dongting lake, China, concluded that aquatic vegetation decreases suspended sedimentation, ultimately increasing sediment deposition thickness and reducing the conveyance capacity over one flood season (Zhang et al., 2020). Aquatic vegetation provides food sources and habitats for fishes and other aquatic beings (Edgar, 1990; Kemp et al., 2000). Vegetation also increases bank stability, decreases erosion, decreases floods, aesthetic values, and filters pollutants. Aquatic vegetation study also becomes important while constructing hydraulic structures like dams. Substantial effects like change in vegetation distribution can be seen in the downstream vegetation after constructing dams (Bejarano et al., 2011; New & Xie, 2008).
Studies related to vegetation have been widely explored in the past. Various experimental, numerical, and field studies were performed to understand the flow behaviour in water bodies covered with vegetation. However, laboratory studies mainly on vegetation were homogenous (Carollo et al., 2002; Caroppi et al., 2021; Huai et al., 2019; Ikeda & Kanazawa, 1996; Järvelä, 2002; Kouwen et al., 1969; Nepf & Ghisalberti, 2008; Termini, 2019; Wang et al., 2021). Even experiments showing the vegetation effect in a compound channel mainly was limited to homogenous vegetation (Dupuis et al., 2017; Hamidifar & Omid, 2013; Mehrabani et al., 2020; Nezu & Onitsuka, 2001; Proust & Nikora, 2019; Rameshwaran & Shiono, 2007; Thornton et al., 2000). Though studies related to heterogeneous vegetation have been fast-growing since the last decade, it is limited compared with homogeneous vegetation. Field investigations give the best visualization of the role of heterogeneous vegetation on the nature of flow (Lacy & Wyllie-echeverria, 2011; Przyborowski & Łoboda, 2021; Sukhodolov & Sukhodolova, 2010; Sukhodolov et al., 2017). However, these studies did not emphasize the difference between heterogeneous vegetation with homogeneous ones. In this situation, laboratory studies help to simplify and understand the complex flow situations regarding heterogeneous vegetation. Researchers tried to explain flow behaviour using different heterogeneous conditions like heterogeneity in spacing, height, and vegetation types. Devi et al. (2016) and Li et al. (2022) attained heterogeneity in spacing by mixing the vegetation densities in the test section. Chembolu et al. (2019) attained heterogeneity by changing the vegetation type in the test section. They studied the flow behaviour in mixed vegetation and compared it with a single type of vegetation. However, these researches kept the vegetation height uniform throughout the test section. Heterogeneity in height is obtained either by naturally growing vegetation in the laboratory (Shucksmith et al., 2010; Stephan & Gutknecht, 2002) or experimented with different vegetation layers (Hamed et al., 2017; Horstman et al., 2018; Li et al., 2014). Flow-through different layers or vegetation heights produce more inflection points than single-layered vegetation (Li et al., 2014; Liu et al., 2010). Li et al. (2014) also concluded that the resistance offered by a combination of submerged and emergent vegetation is more than a single vegetation layer. Hamed et al. (2017) compared flow behaviour between uniform vegetation and double-layered vegetation. They found that there is greater turbulent exchange in double-layered vegetation in the canopy interface compared with homogenous vegetation. Horstman et al. (2018) tried to replicate a real mangrove vegetation distribution in the laboratory and found that there was a reduction of strength in heterogeneous canopy layer as compared with homogeneous type. Different numerical and analytical models of heterogeneous vegetation also indicate the difference in treatments concerning homogeneous vegetation (Anjum & Tanaka, 2020a, 2020b; Huai et al., 2014).
The study of flow in heterogeneous vegetation can be extended to a compound or partially vegetated channel for the fulfilment of moving closer to a real or practical field. During the high flood season, the floodplain gets submerged, where vegetation contributes to the flow behaviour in the channel. A case study on a tributary of Conodoguinet Creek, Pennsylvania, USA, concludes that there is more erosion and bank migration in the non-forested area than the forested area (Allmendinger et al., 2005). Previous studies on the compound or partially vegetated channels mainly focused on the homogeneous vegetated floodplain (Caroppi et al., 2021; Dupuis et al., 2017; Proust & Nikora, 2019; Yang et al., 2007). The analytical approach in compound channel was also investigated by many researchers (Pu, 2019; Pu et al., 2020; Shiono & Knight, 1991; Tang & Knight, 2008). However, these researches did not consider the variation of vegetation height in the floodplain of the compound channel. Ahmad et al. (2020) and Tang et al. (2021) explained flow dynamics in double-layered vegetation on a compound and partially vegetated channel respectively. However, their studies did not incorporate the variation of double-layered vegetation with single-layered or uniformly distributed vegetation. Laboratory experiments regarding heterogeneously vegetated floodplain compound channels are mostly unexplored due to the sheer complexity of handling vegetation with varying heights and densities. In addition to that, researchers have to also deal with flow interaction between the floodplain and main channel region where constant momentum exchange takes place, making its study more interesting. Previous researchers complimented this floodplain-main channel interaction on a homogeneous floodplain but did not explore it in the heterogeneously vegetated region (Proust & Nikora, 2019; Shiono & Knight, 1991; Tominago & Nezu, 1991; Truong et al., 2019). The momentum exchange depends on vegetation density, height, submergence level, and vegetation type. This changed vegetation distribution can affect the flooding and erosion pattern, making its study important.
In the present paper, the authors attempted to observe the flow behaviour in natural heterogeneous vegetation in the floodplain region of the compound channel. Heterogeneity in spacing and height are used to study the flow nature and its impacts on the slopes and main channel. Despite the fact that many researches have been done on vegetation in compound channels, detailed investigation of flow behaviour in multi-layered vegetation in the floodplain zone has been scarce. This research also attempts to address the flow nature differences between single-layered and multi-layered vegetation in a compound vegetated channel, which have never been investigated before. The study considers multi-layered (three-layered) vegetation, which differs from previous studies where mostly double-layered vegetation was considered (Anjum & Tanaka, 2020a, 2020b; Li et al., 2014; Huai et al., 2014; Tang et al., 2021). Although vegetation height and distribution are more random in the real field, the author used three layers of vegetation to reduce complexity during analysis. This fact can be regarded a study constraint because heterogeneous vegetation distribution is extremely unpredictable, both in terms of height and space. Only one vegetation type is included in this study to keep the variable to height and space. In the field, however, vegetation of various types (leafy, bladed, cylindrical etc.) might be found in a specific region. This study on heterogenous vegetated compound channel attempts to move a step forward towards achieving a real field view.
2 METHODOLOGY
Experimental runs on laboratory flume provide a clear display of flow nature in a channel. The conditions of an experimental setup can be altered according to the need, which gives an advantage over a field study. The following sections provide the methods and procedure of the experiments.
2.1 Experimental set up and procedure
Experiments were carried out on a laboratory flume of 17.2 m long, 1 m wide, and 0.72 m deep (Figure 1). At the upstream of the flume, a tank of length 2.8 m, width 1.5 m, and depth 1.5 m were provided to regulate straight flow into the main channel. Uniform sand of 1.1 mm median grain diameter and geometric standard deviation 1.03 were utilized for bed sediment. The water was gradually released with the help of a valve from the overhead storage tank to the inlet tank and ultimately to the main flume. Since it is a recirculating flume, the water is drained into an underground tank and pumped to the upstream overhead storage tank. Flow depth and discharge in the flume were regulated with the help of the tailgate and rectangular notch situated downstream of the flume. A compound channel of 9 m length was constructed in the rectangular flume from 13 m upstream of the flume to 4 m in downstream, as shown in Figure 1. The compound channel was divided into three regions: floodplain, sloping, and the main channel region (Figure 1). The slope was made rigid with an aluminium sheet and kept at a fixed angle of 31°. Vegetation was distributed in the floodplain region staggered from 11 m to 5 m in the flume (Figure 2). The experimental cases and vegetation distribution are discussed in detail in subsequent sections.


2.1.1 Vegetation collection
The vegetation used in various experimental cases is described in Table 1 and Figure 2c accumulated from the field. For the present study, Vetiver grass (Chrysopogon zizanioides) was used in the floodplain region of the compound channel. Vetiver grass can grow up to 5 ft tall, and the roots grow from 7 ft to 13 ft in depth. The experiments considered varying vegetation heights of 3 cm, 6 cm, and 9 cm. The average breadth of each vegetation patch considered in the present study is 3.5 cm for all vegetation cases. The root system of the vetiver is very strong, which is why it is used for controlling bank erosion in many parts of the world. Various studies concerning Vetiver grass and their uses in bank protection have been discussed by different researchers (Hamidifar et al., 2018; Islam et al., 2013; Jaspers-Focks & Algera, 2006). Vetiver grass was used in this study mainly for two reasons: (1) It has an erect and stiff stem that helps to distinguish the flow when it encounters different vegetation heights, and (2) it is readily available in India, which helps in the procurement of the vegetation.
Set | Discharge (L/s) | Experimental cases | Notation of experimental cases | Vegetation distribution type |
---|---|---|---|---|
20 | No vegetation | No vegetation | Nil | |
35 | No vegetation | No vegetation | Nil | |
1 | 20 | 6 cm uniform vegetation | U 6 cm uniform | Uniform homogeneous |
20 | 3-6-9 cm submerged | U 3-6-9 cm submerged | Uniform heterogeneous | |
35 | 6 cm uniform vegetation | U 6 cm uniform | Uniform homogeneous | |
35 | 3-6-9 cm submerged | U 3-6-9 cm submerged | Uniform heterogeneous | |
2 | 20 | 6 cm uniform vegetation | NU 6 cm uniform | Non-uniform homogeneous |
20 | 3-6-9 cm submerged | NU 3-6-9 cm submerged | Non-uniform heterogeneous | |
35 | 6 cm uniform vegetation | NU 6 cm uniform | Non-uniform homogeneous | |
35 | 3-6-9 cm submerged | NU 3-6-9 cm submerged | Non-uniform heterogeneous |
2.1.2 Experimental cases
Two sets of experiments were conducted on the compound channel. In the first set, the vegetation zone was uniformly distributed, whereas, in the second set, it was non-uniformly distributed (Figure 2). No-vegetation cases where the flow was allowed to move without vegetation in the floodplain zone were performed for both the discharges. In the first set, the spacing between two vegetation patches was 10 cm centre to centre (c/c) from 11 m (upstream) to 5 m (downstream) in the flume. It consists of two experimental cases according to the height of vegetation in the floodplain: a single-layer and a multi-layer submerged vegetation case. In the single layer, all vegetation patch heights were 6 cm (Figure 3b). The multi-layered vegetation comprises three layers of vegetation height of 3 cm, 6 cm, and 9 cm. This varying height vegetation was distributed throughout the vegetated floodplain zone to achieve heterogeneity, as shown in Figure 3c. For convenience, the experiments in the uniform setup are denoted as U 6 cm uniform for uniform single-layer vegetation and U 3-6-9 cm submerged for uniform multi-layered vegetation in the paper. The second set of experiments was divided into three vegetation zones: sparsely vegetated, medium densely, and densely vegetated floodplain as shown in Figure 2b. Flow moves from sparsely vegetated portion upstream to denser region downstream of the flume. This was done to achieve non-uniformity in spacing in the vegetated floodplain. The spacing between two vegetation patches in sparsely, medium densely, and densely vegetated zones were 20 cm, 15 cm, and 10 cm, respectively. The cases performed for the first set were repeated for the second set, that is, single-layered and multi-layer submerged vegetation. The experiments in the non-uniform setup are denoted as NU 6 cm uniform for non-uniform single-layered vegetation and NU 3-6-9 cm submerged for non-uniform multi-layered vegetation. The average flow depth in the floodplain and main channel region of the compound channel was taken as 10 cm and 20 cm, respectively. The flow depth in the channel is kept constant for different discharges and vegetation cases by regulating the tailgate present in the downstream of the flume (Figure 1). The flow in the channel was in subcritical condition for both discharges for all the experiments. A detailed explanation of the experiments and distribution of vegetation is shown in Table 1 and Figure 2.

2.2 Data collection
3 RESULTS AND DISCUSSIONS
3.1 Velocity
Floodplain vegetation density influences the flow behaviour in the entire cross section of the channel. This effect could be seen in the main channel of the compound channel, as seen in Figure 4. Velocity for uniform set up in the main channel does not show any particular consistent trend throughout the flow depth (Figure 4a,c). It is almost equal for . The introduction of different vegetation density zones showed a trend where velocity profile at 5.5 m main channel section is highest whereas at 9.5 m, it shows lowest magnitude velocity. It is seen that there is more than 20% increase of depth-averaged streamwise velocity in the main channel section from 9.5 m section to 5.5 m section. The role of vegetation density can also be seen in Figure 5, where velocity profiles at various uniform and non-uniform setup sections are shown. The 5.5 m cross section was chosen to compare as vegetation density in that region (7 m to 5 m) is the same for both the setup. It is seen that in all the sections from SFPI to MC section, velocity in uniform vegetation set up is higher compared with non-uniform vegetation set up. However, the velocity at the MC section for uniform setup starts to diverge or increase from non-uniform set up at . The velocity is almost the same for both vegetation setup at . The flow in the vegetation zone in a non-uniform setup travels from a sparsely vegetated zone to a densely vegetated zone, whereas in uniform case, the whole vegetation zone is densely populated from 11 m to 5 m (Figure 2b). This decreases the velocity in the floodplain zone of uniform cases, increasing the velocity in the slope and main channel sections. Figure 5 also shows the importance of vegetation height to divert the flow towards the main channel. The velocity in the U 3-6-9 cm submerged case is greater than the U 6 cm uniform case at SFPI, SM, and SE throughout most of the flow depth. In the MC section, velocity in both U 6 cm uniform and U 3-6-9 cm submerged are almost comparable. The reason for greater velocity in slope and main channel sections for multi-layered vegetation (3-6-9 cm submerged) for most cases is the contribution of 9-cm-length vegetation. This shows that though 33% of the vegetation is 3 cm in length, the resistance in flow is mainly provided by 9-cm-length vegetation. The 9-cm vegetation provides more frontal area and flow obstruction. This ultimately decreases the flow velocity in the floodplain region and increases in the slope and main channel sections. This point can be seen in Figure 5, where the velocity of NU 3-6-9 cm submerged case is less than the NU 6 cm uniform case at the SFPI section and becomes larger at SE and MC sections.


3.2 Reynolds shear stress
The Reynolds shear stresses (RSS) help to get a better glimpse of the momentum transfer between different layers in streamwise, spanwise, and vertical directions. There is a constant momentum transfer between the floodplain and the main channel region in the compound channel because of differences in velocities and flow depth across the cross section (Dupuis et al., 2017; Proust & Nikora, 2019). Figures 6 and 7 show streamwise and transverse RSS ( and ) for different vegetation cases at 5.5 m cross section for 35 lps. It can be seen that in all the cases, irrespective of discharge and uniformity condition, the RSS is more pronounced in the slope and the main channel sections. For higher flow depths of , the streamwise RSS in uniform set up (U 6 cm uniform and U 3-6-9 cm submerged) is greater than in non-uniform cases, primarily at SE and MC sections (Figure 6e,f). However, no particular trend is observed for at both SE and MC sections. The reason might be because of flow irregularities in the lower depth of the channel. The uniform setup increases the velocity in the slope and main channel sections, as seen in Figure 4. As a result, the difference in velocity between the floodplain and main channel increases, ultimately increasing the momentum exchange compared with the non-uniform setup. The pointwise RSS profile of SE and MC (Figure 6e,f) shows that the RSS increases from to after which it decreases till channel bed. The maximum magnitude of RSS in multi-layered vegetation (U 3-6-9 cm submerged and NU 3-6-9 cm submerged) reaches more than 0.0003 m2/s2, which is greater than the homogenous vegetation height (U 6 cm uniform and NU 6 cm uniform). Negative streamwise RSS is observed for all cases, mainly in the floodplain and SFPI regions. However, the magnitude of negative RSS at the SFPI section of NU 3-6-9 cm submerged case is higher than all other cases. This point shows the presence of a strong circulation system in the region. The SFPI and SM sections are also subjected to high transverse RSS ( ) for all cases, as seen in Figure 7. The white portion in slopes shows the extreme magnitude of and displays the importance of transverse velocity fluctuations (v ) in overall flow in a compound channel. It is also seen that the magnitude of transverse RSS ( ) is also higher than streamwise RSS ( ) especially on the slopes.


3.3 Turbulent intensities
The turbulent intensities are given by the square root of the average of the diagonal elements of the Reynolds stress matrix. The streamwise and transverse intensities are given as and , respectively. Figures 8 and 9 show the streamwise and transverse intensities, respectively, at a 5.5 m cross section for 35 lps. It is evident from the figures that both intensities are greater in uniform set up at the slopes and main channel sections as compared with non-uniform vegetation setup. The maximum streamwise and transverse intensities in the SE and MC sections are greater than 0.08 m/s for a uniform setup, whereas it is within 0.08 m/s for a non-uniform setup (Figures 8e,f and 9e,f). The magnitude of intensities is also seen to be maximum in the SFPI section as it acts as the boundary where momentum exchange occurs between the floodplain and main channel. It is also observed that the magnitude of both streamwise and transverse intensities of multi-layered vegetation (U 3-6-9 cm and NU 3-6-9 cm) at SE and MC sections is higher compared with single-layered vegetation (U 6 cm uniform and NU 6 cm uniform) throughout the flow depth. However, the percentage increase of depth-averaged intensities is different for uniform and non-uniform vegetation set up. There is a more than 15% increase of averaged streamwise intensities ( ) at SE and MC sections in case of NU 3-6-9 cm submerged to NU 6 cm uniform whereas it is within 15% for U 3-6-9 cm submerged compared with U 6 cm uniform. Furthermore, in the case of average transverse intensity ( ), it is more than 20% for non-uniform vegetation setup, whereas it is within 20% for uniform vegetation setup. The combined effect of varying vegetation density and height could result in greater intensity increase in the case of a non-uniform setup. On the other hand, only vegetation height acts as variable whereas vegetation spacing is constant throughout the vegetation zone in the uniform vegetation setup.


3.4 Turbulent kinetic energy (TKE)
The total TKE is the sum of the squares of turbulent intensities in streamwise, transverse, and vertical directions, and it is formulated as . The results of TKE resemble turbulent intensities to some extent, as shown in Figures 8 and 9. The magnitude of TKE is more pronounced in the slopes and main channel sections irrespective of vegetation setup (Figure 10). Like turbulent intensities, the magnitude of TKE in uniform set up is greater than that of non-uniform vegetation throughout the flow depth. The TKE magnitude in multi-layered vegetation cases for both uniform and non-uniform setup is also greater than single or constant vegetation height cases especially at slope and MC sections. However, there is more than a 30% increase of average TKE magnitude for multi-layered vegetation as compared with single-layered vegetation in non-uniform setup whereas it is within 30% for uniform vegetation setup. It is also observed in Figure 10 that TKE magnitude in the floodplain sections is comparatively less than sloping sections. It signifies that the velocity fluctuating components in different directions are more pronounced in the slopes than in the floodplain sections.

3.5 Integral scales
One of the defining features of turbulence flow is the formation of eddies. The eddy size has a wide range of scales, and the largest scale is comparable with the flow depth of the channel. This section analyses the Taylor micro-scale and Euler's scale for U 3-6-9 cm submerged and NU 3-6-9 cm submerged cases.
3.5.1 Taylor scale

3.5.2 Euler scale

3.6 Octant analysis
- Internal outward interaction or Class I-A (u′ > 0, w′ > 0, v′ > 0);
- Internal ejection or Class II-A (u′ < 0, w′ > 0, v′ < 0);
- Internal inward interaction or Class III-A (u′ < 0, w′ < 0, v′ < 0);
- Internal sweep or Class IV-A (u′ > 0, w′ < 0, v′ > 0);
- External outward interaction or Class I-B (u′ > 0, w′ > 0, v′ < 0);
- External ejection or Class II-B (u′ < 0, w′ > 0, v′ > 0);
- External inward interaction or Class III-B (u′ < 0, w′ < 0, v′ > 0);
- External sweep or Class IV-B (u′ > 0, w′ < 0, v′ < 0);
Figures 13-15 show the occurrence probability of different bursting events for no-vegetation, U 6 cm uniform vegetation, and NU 6 cm uniform vegetation cases, respectively. From the figures, it can be seen that Classes I-A, III-A, I-B, and III-B are less throughout the cross section in case of no-vegetation cases. The contribution is mainly provided by the ejection (Class II-A and Class II-B) and sweep (Class IV-A and Class IV-B) events. The contribution of sweep events throughout the cross section is more than 14%, whereas outward (Class I-A and Class I-B) and inward (Class III-A and Class III-B) interaction mainly lies within 12%. This shows that sweep and ejection events are mainly present in the channel in the no-vegetation case. This scenario changes after the introduction of vegetation in the floodplain region, as shown in Figures 14 and 15. Classes I-A (internal outward interaction) and III-A (internal inward interaction) are seen to govern mainly the SFPI and SM sections. It usually lies between 14% and 17%, which is not seen in the no-vegetation case. The contribution of Classes I-A and III-A in the U 6 cm uniform case is more widespread as compared with the NU 6 cm uniform case. The majority of the points at the SFPI section in the U 6 cm uniform case contribute more than 18% in Classes I-A and III-A, whereas it is within for the NU 6 cm uniform case. The ejection and sweep events mainly dominate the main channel section of the cross-section. The contribution of sweep events (Class IV-A and Class IV-B) surpasses the ejection events (Figures 14 and 15). However, there is not much distinction between both types of sweep events. Another thing noticed is that Classes I-B and III-B are less than other events irrespective of any cases.



Figures 16 and 17 show the occurrence probability of different bursting events for multi-layered vegetation cases at 35 lps discharge. The results are similar to that of uniform height set up (U 6 cm uniform and NU 6 cm uniform), where the slope and main channel region mainly contribute to various bursting events. However, the contribution of Classes I-A and III-A in the SFPI section of multi-layered cases (Figures 16 and 17) is more as compared with single-layered cases (Figures 14 and 15). As seen for single-layered vegetation in Figures 14 and 15, the percentage of sweep events (Class IV-A and Class IV-B) is also greater in the main channel section of multi-layered vegetation, as shown in Figures 16 and 17. Class II-A or internal ejection class is seen on the floodplain region of both U 3-6-9 cm and NU 3-6-9 cm submerged cases. Classes I-B and III-B are less in the slope and main channel region irrespective of discharge and vegetation setup, similar to Figures 14 and 15. However, it is seen to contribute in the floodplain region of U 3-6-9 cm submerged case, as seen in Figure 16.


4 CONCLUSION
Laboratory experiments were performed to study the flow behaviour in a multi-layered vegetated compound channel. Different turbulence characteristics were evaluated and compared between different cases of single-layered (U 6 cm uniform and NU 6 cm uniform) and multi-layered vegetation cases (U 3-6-9 cm submerged and NU 3-6-9 cm submerged). It is seen that there is an increase of more than velocity in the main channel section as the flow progresses from sparsely vegetated (20 cm c/c) to densely vegetated (10 cm c/c) region in NU 6 cm uniform case. It was seen that flow characteristics like velocity, streamwise RSS, turbulent intensities, and TKE are more pronounced for uniform set up (U 6 cm uniform and U 3-6-9 cm submerged) compared with non-uniform set up (NU 6 cm uniform and NU 3-6-9 cm submerged) in the SE and MC sections. The integral scales (Taylor and Euler) analysis at the slope and main channel also showed that it is more in the U 3-6-9 cm submerged case than the NU 3-6-9 cm submerged case. The comparison between single-layered and multi-layered vegetation shows that flow velocity in the SM, SE, and MC sections of multi-layered vegetation is greater than single-layered vegetation. The magnitude of turbulent intensities and TKE is also greater for multi-layered vegetation to single-layered vegetation at SE and MC sections. The bursting phenomenon was analysed using octant analysis as transverse fluctuations (v') play an important role in overall flow behaviour. It was seen that Class I-A is mostly present at the SFPI section of the U 3-6-9 cm submerged case, whereas Class III-A was seen in the NU 3-6-9 cm submerged case. The sweep events (Class IV-A and Class IV-B) are mostly present in the main channel section compared with ejection events (Class II-A and Class II-B) for all vegetation set up. The contribution of Classes I-B and III-B is negligible whether the floodplain is covered in vegetation or not. The study mainly focused on the slope and main channel flow behaviour when it encounters multi-layered vegetation in the floodplain region. This research encourages the use of multi-layered vegetation in laboratory experiments because it is common in riparian vegetation. This study can be extended to emphasize the floodplain region, concentrating on the drag coefficient provided by multi-layered vegetation. It will also concentrate on experiments involving a mixture of submerged and emergent vegetation in the floodplain zone to achieve a realistic field view.
CONFLICT OF INTEREST
The authors have no conflicts of interest to declare.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.