1. Introduction
Natural rivers, lakes and seas are complex aquatic ecosystems with different types of vegetation. As an indispensable part of ecosystems, aquatic vegetation can provide food and habitat for other organisms (Carpenter & Lodge Reference Carpenter and Lodge1986), change sediment transport (Neary et al. Reference Neary, Constantinescu, Bennett and Diplas2012) and improve water quality (Moore Reference Moore2004). In addition, they can also stabilise the riverbed (Shan et al. Reference Shan, Zhao, Liu and Nepf2020), attenuate waves and storm surges (Augustin, Irish & Lynett Reference Augustin, Irish and Lynett2008), and reduce coastal erosion (Gedan et al. Reference Gedan, Kirwan, Wolanski, Barbier and Silliman2011). Aquatic vegetation achieve their multiple functions mainly through the interactions with the fluid flow, i.e. fluid–structure interactions (FSIs). Therefore, it is of vital significance to study the interactions between flow and vegetation from the perspective of protecting the aquatic ecological environment. Submerged flexible aquatic vegetation is a common vegetation type, and the flow with such vegetation has aroused extensive and in-depth research in the past few years.
In vegetated flows, Kelvin–Helmholtz (KH) instability is an important factor affecting the interaction between the flow and the vegetation (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002; Wang et al. Reference Wang, He, Dey and Fang2022b
), and may be triggered under certain conditions. In the flow of submerged vegetation, similar to a hyperbolic tangent curve, the vertical velocity profile is analogous to a mixing layer (Raupach, Finnigan & Brunei Reference Raupach, Finnigan and Brunei1996; Ghisalberti & Nepf Reference Ghisalberti and Nepf2002). Under this circumstance, shear at the top of the vegetation is a dominant factor in determining the onset of the KH instability (Wong, Trinh & Chapman Reference Wong, Trinh and Chapman2020), which is influenced by vegetation and flow conditions. It is found that the KH instability can be triggered in a dense canopy (Nepf Reference Nepf2012; Wong et al. Reference Wong, Trinh and Chapman2020). Note that the transition between the sparse and dense canopy occurs at the roughness density
$aL = 0.1$
, where
$a$
and
$L$
are the frontal area per canopy volume and vegetation height, respectively (Belcher, Jerram & Hunt Reference Belcher, Jerram and Hunt2003; Nepf Reference Nepf2012). The threshold Reynolds number for the onset of the KH instability in a rigid canopy is studied under different conditions with a linear stability analysis (Singh et al. Reference Singh, Bandi, Mahadevan and Mandre2016). Wong et al. (Reference Wong, Trinh and Chapman2020) further investigated the effects of flexibility, inertia and shear on the critical conditions. Once the shear at the top of the vegetation is strong enough, the flow is susceptible to KH instability, leading to the excitation of a canopy-scale KH vortex, a common type of large-scale vortex (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002; Nepf Reference Nepf2012). As the KH vortex propagates, the flexible vegetation exhibits coherent waving motions known as Monami (Ackerman & Okubo Reference Ackerman and Okubo1993; Ghisalberti & Nepf Reference Ghisalberti and Nepf2002). Schematics from previous studies indicated that KH vortices forward-deflect the grass blades immediately below (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002; Nepf Reference Nepf2012; Okamoto, Nezu & Sanjou Reference Okamoto, Nezu and Sanjou2016; Wong et al. Reference Wong, Trinh and Chapman2020), but Vieira, Allshouse & Mahadevan (Reference Vieira, Allshouse and Mahadevan2023) provide a correction to previous schematics that a low-pressure zone at the centre of the KH vortex coincides with the most upright vegetation element, as shown in figure 1. The spatial scales of this coherent waving motion, including wavelength and wave height, have also been explored in several recent studies (Okamoto et al. Reference Okamoto, Nezu and Sanjou2016; Wang et al. Reference Wang, He, Dey and Fang2022a
; Ni et al. Reference Ni, Ji, Xu, Zhang and Liang2023).
When Monami occurs, the average and turbulent structures in flow are significantly modulated. Some scholars have studied the influence of Monami on the vegetated flow, and found that the velocity difference between the upper and lower boundaries of the mixing layer
$\Delta u=u_2-u_1$
increases notably compared with the case without Monami, where
$u_1$
and
$u_2$
are the low- and high-stream velocities, respectively (Nepf Reference Nepf2012; Wang et al. Reference Wang, He, Dey and Fang2022b
). The thickness of the mixing layer can be defined with end points
$(u-u_1)/\Delta u$
= 0.01 and
$(u_2-u)/\Delta u$
= 0.01 (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002). In addition, the depth of Reynolds stress intrusion into the vegetation canopy is larger when Monami occurs and the location of maximum Reynolds stress is slightly lower than the deflected height of vegetation (Ghisalberti & Nepf Reference Ghisalberti and Nepf2006). Through laboratory experiments, Wu et al. (Reference Wu, Wu, Wu, Zhang, Feng, Zhang and Zhao2023) found that with a gradual increase in flexibility of vegetation, the velocity differences and mixing layer thickness decrease, but the trend of the penetration depth of Reynolds stress is opposite. However, compared with the rigid vegetation, the KH vortices are smaller and weaker in the presence of Monami, so the efficiency of momentum exchange is diminished (Ghisalberti & Nepf Reference Ghisalberti and Nepf2005, Reference Ghisalberti and Nepf2006). In addition to the large-scale vortices in the mixing layer, there are also stem-scale vortices set by the stem diameters and spacing, which are mainly distributed within the canopy and much smaller with low intensity (Nepf & Vivoni Reference Nepf and Vivoni2000; Nepf et al. Reference Nepf, Ghisalberti, White and Murphy2007; Ghisalberti & Nepf Reference Ghisalberti and Nepf2009; Nepf Reference Nepf2012). Recently, He, Liu & Shen (Reference He, Liu and Shen2022) revealed dominant effects at two characteristic scales: the Monami scale associated with the coherent structures in the mixing layer and the wake scale associated with the interval between adjacent stems. Moreover, there is also vortex shedding near the tip of the flexible vegetation due to its oscillation, which is defined as vegetation oscillation vortex (VO vortex for short hereinafter). However, in previous studies, it is paid less attention (Houseago et al. Reference Houseago, Hong, Cheng, Best, Parsons and Chamorro2022) and even ignored (O’Connor & Revell Reference O’Connor and Revell2019; Fang et al. Reference Fang, Gong, Revell and O’Connor2022; Zhang, Li & Zhang Reference Zhang, Li and Zhang2022).
Schematic diagram of Monami phenomenon and the evolution of KH vortices. The red and orange lines denote the vertical profiles of streamwise velocity and Reynolds stress, respectively.

The strong vertical momentum exchange and mass transport occurring in the mixing layer are dominated by the large-scale coherent vortex structure through the significant and periodic sweep and ejection events (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002, Reference Ghisalberti and Nepf2009; Okamoto & Nezu Reference Okamoto and Nezu2009). Some studies are performed to identify the geometric size of the KH vortex, and the specific location of its upper and lower boundaries. It is widely accepted that the size of the KH vortex is at the canopy scale (Nikora Reference Nikora2010; Nepf Reference Nepf2012). For submergence ratio (a ratio of water depth to vegetation height) ranging from 1.6 to 3.1, the KH vortex size is directly proportional to the canopy–surface gap, due to confinement of the flow by the free surface (Mandel et al. Reference Mandel, Gakhar, Chung, Rosenzweig and Kose2019). In addition, as the vegetation distribution density increases, its size generally increases (Yan et al. Reference Yan, Dai, Tang, Cheng and Chen2014). Since the KH vortex controls the mixing layer near the top of the vegetation, the size of the KH vortex is very close to the thickness of the mixing layer (Poggi et al. Reference Poggi, Porporato, Ridolfi, Albertson and Katul2004). On the specific location of the lower boundary of the KH vortex, Nepf & Vivoni (Reference Nepf and Vivoni2000) proposed the concept of penetration depth based on turbulent energy balance, that is, the height at which the KH vortex penetrates downwards into the canopy. For the determination of the penetration depth, different scholars have proposed different methods (Nepf & Vivoni Reference Nepf and Vivoni2000; Nikora et al. Reference Nikora, Koll, Mclean, Dittrich and Aberle2002; Nepf et al. Reference Nepf, Ghisalberti, White and Murphy2007). For simplicity, it is generally taken at the height of 10 % of the maximum Reynolds stress (Nepf & Vivoni Reference Nepf and Vivoni2000). In addition, the penetration depth generally expands with the increase of vegetation distribution density and submergence ratio (Yan et al. Reference Yan, Chen, Dai and Zhang2016). For the specific location of the upper boundary of the KH vortex, since the region from the upper boundary of the KH vortex to the free surface is similar to the outer region of the boundary layer, Poggi et al. (Reference Poggi, Porporato, Ridolfi, Albertson and Katul2004) showed that the flow velocity satisfies the logarithmic distribution. Therefore, the critical position where the flow velocity distribution deviates from the logarithmic law below the water surface is taken as the upper boundary of the KH vortex (Nezu & Sanjou Reference Nezu and Sanjou2008). Note that the above mentioned methods for determining the upper and lower boundaries of the KH vortex are mostly based on certain assumptions or have strong empirical evidence, and the results obtained by different methods are different. Yan et al. (Reference Yan, Dai, Tang, Cheng and Chen2014) summarised the research progress of the KH vortex in submerged vegetation and readers are referred to the relevant literature if needed.
Most of the above mentioned studies are aimed at the fully developed KH vortex, where the work done by large-scale vortices is balanced with the vegetation canopy dissipation due to drag. Once the balance is achieved, the KH vortex stops growing and reaches a fixed size (Ghisalberti & Nepf Reference Ghisalberti and Nepf2004). However, for a vegetation canopy with limited length such as patches of seagrass Cymodocea nodosa ranging from 1 m to 10 m (Duarte & Sand-Jensen Reference Duarte and Sand-Jensen1990), the flow generally cannot be fully developed. Previous studies on vegetation array with finite length mainly focus on the dynamic modes of the array such as flapping, Monami (waving), dual (sectional waving) and cavity oscillation. In the flapping mode, the vegetation elements are so flexible that they display second-order deformations of a cantilever beam where there is an inflection point along the vegetation element (O’Connor & Revell Reference O’Connor and Revell2019; Fang et al. Reference Fang, Gong, Revell and O’Connor2022). In the Monami modes, a stable shear layer covering the vegetation top is formed at the front portion of the array until the KH vortex is excited, and the vegetation array thus exhibits a collective waving motion with first-order deformations where no inflection point appears along the vegetation element. Especially, Ni et al. (Reference Ni, Ji, Xu, Zhang and Liang2023) further distinguished different Monami modes according to the features of low-frequency flow. The dual mode is a combination motion, with its front and rear portions being flapping and Monami, respectively, which can also be regarded as a transition from flapping to Monami (Fang et al. Reference Fang, Gong, Revell and O’Connor2022; Zhang et al. Reference Zhang, Li and Zhang2022). For cavity oscillation mode, without any stable shear layers formed first, the vortex in this mode (hereinafter referred to as the CO vortex to distinguish from the KH vortex) is shed from the first vegetation element and then enters the cavity formed by the adjacent two elements. As the CO vortex invades partially into the cavity and moves downstream, its oscillation acts as the excitation source for the vegetation swaying, and the swaying amplitude decreases rapidly to almost zero after the first several vegetation elements (Zhang et al. Reference Zhang, He and Zhang2019, Reference Zhang, Li and Zhang2022). Kim, Yu & Kaplan (Reference Kim, Yu and Kaplan2024) also investigated different dynamic modes in a finite patch of aquatic vegetation, where blade-to-blade interactions were also resolved with soft-body dynamics model.
In spite of the study on the dynamic modes of the array, however, the process of the large-scale vortex evolution along the array is still paid less attention. Chen, Jiang & Nepf (Reference Chen, Jiang and Nepf2013) conducted an experimental study on the rigid canopy, and the flow development process was divided into three stages. In the first stage, due to the formation of a high-pressure zone in the front of the canopy, the flow velocity at the leading edge of the canopy is significantly reduced and continues to decrease inside the canopy. In the second stage, the mixing layer develops until it reaches a fixed size. In the third stage, the boundary layer above the mixing layer gradually returns to the normal boundary layer. A similar division was also obtained by Okamoto & Nezu (Reference Okamoto and Nezu2013) and, in the developing region, the magnitude of the Reynolds stress became larger along the vegetation patch. Based on this, Lei & Nepf (Reference Lei and Nepf2021) developed a theoretical model to predict the variation of flow velocity in both rigid and flexible canopies, and verified the model with experimental results. However, this model was derived under a two-layer velocity distribution, i.e. the velocities within and above the canopy are assumed to be vertically uniform, which is not consistent with the real situation.
Despite the insights gained from previous studies, the vegetated flow features are still not fully understood. In particular, few studies focus on the streamwise evolution process of a large-scale vortex. Additionally, the influences of this evolution process on the characteristics of flow structures and vegetation swaying are rarely reported. In this study, numerical simulations are used to investigate the evolution of large-scale vortices above a canopy composed of an array of 100 submerged flexible vegetation elements. The rest of the paper is organised as follows. Section 2 describes the numerical methods and computational set-up. In § 3, different dynamic modes are classified first, and then the method employed to identify the size and intensity of large-scale vortex is introduced. The results obtained from the numerical simulations are presented and analysed, highlighting the evolution zones and sequences of large-scale vortices across the canopy, and their effects on the vegetation swaying and flow structures. In § 4, the main findings of this study are summarised.
2. Methodology
2.1. Numerical methods
In this study, the flow field is solved using direct numerical simulation (DNS) combined with the immersed boundary (IB) method (Peskin Reference Peskin1972). The incompressible Navier–Stokes and continuity equations that govern the fluid flow can be written as follows:
where
$\boldsymbol{u}$
is the velocity of the fluid flow, t is time, p is pressure,
$\rho _f$
is the fluid density,
$\nu$
is the kinematic viscosity and
$\boldsymbol{f}$
is the extra body force that represents the actions of immersed objects on the fluid.
To discretise (2.1) and (2.2), the second-order Adams–Bashforth time scheme and the second-order central differencing space scheme are used, which leads to the following conservation form:
where
$\boldsymbol{\varPi }=\boldsymbol{\nabla} \boldsymbol{\cdot} ( -\boldsymbol{u}\boldsymbol{u}+\nu ( \boldsymbol{\nabla} \boldsymbol{u}+\boldsymbol{\nabla} {\boldsymbol{u}^{T}} ) )$
is composed of the convective and diffusive terms, in which
$\boldsymbol{\nabla}$
is the gradient operator and the superscript T denotes the transpose of a matrix. Superscripts
$n - 1$
,
$n$
,
$n + 1/2$
and
$n + 1$
are time steps. The extra body force can be calculated as
where
$\boldsymbol{V}^{n+1}$
is the desired velocity on the IB points. Here,
$D_f$
and
$I_f$
are the distribution and interpolation functions, respectively, which are responsible for data transfer between the non-conforming Eulerian and Lagrangian grids. For the sake of conciseness, further descriptions of this method and its solution procedure can be found in our previous work (Ji et al. Reference Ji, Munjiza and Williams2012, Reference Ji, Cui, Xu, Yang and Srinil2019; Chen et al. Reference Chen, Ji, Alam, Williams and Xu2020, Reference Chen, Ji, Alam, Xu, An, Tong and Zhao2022; Zhang et al. Reference Zhang, Ji, Chen, Hua and Srinil2021; Zhang & Ji Reference Zhang and Ji2022; Xu et al. Reference Xu, Liu, Wu and Ji2023).
Modelling the vegetation as plates is a very common simplification and this is also used in the current simulation. The dynamics of individual vegetation are simulated using the vector form intrinsic finite element (VFIFE) method (Shih, Wang & Ting Reference Shih, Wang and Ting2004; Ting, Shih & Wang Reference Ting, Shih and Wang2004a , Reference Ting, Shih and Wangb ). Based on point-value descriptions, the structure is discretised into a set of spatial nodes that are connected to each other by beam elements. Since the properties of each node are allowed to change between the time points, this method is advantageous in modelling the discontinuous and nonlinear behaviour of structures, such as large deformations, fractures, collapses, collisions and penetrations. The motion of each node is used to describe the movement and deformation of the structure, and satisfies Newton’s second law. The governing equations are written as
where
$m$
and
$I_m$
are the mass and moment of inertia matrix of the node, respectively. Here,
$\dot {\boldsymbol{v}}$
,
$\boldsymbol{v}$
,
$\dot {\boldsymbol{\omega }}$
and
$\boldsymbol{\omega }$
are the acceleration, velocity, angular acceleration and angular velocity of the node, respectively. Additionally,
$\boldsymbol{F}^{\textit{int}}$
,
$\boldsymbol{F}^{\textit{ext}}$
,
$\boldsymbol{M}^{\textit{int}}$
and
$\boldsymbol{M}^{\textit{ext}}$
are the internal force, external force, internal moment and external moment on the node, respectively. Note that
$\boldsymbol{F}^{\textit{ext}}$
includes the buoyancy force, while
$\zeta$
is the structural damping coefficient which is set to zero in the present study. An explicit iterative scheme based on central differencing is used to solve (2.6) and (2.7) as follows:
where
$\boldsymbol{x}$
,
$\boldsymbol{\alpha }$
and
$h_s$
denote the position of the node, the angle of rotation of the node and the time step, respectively. The relationship between the velocity of the node
$\boldsymbol{v}^{n+1}$
and the velocity of the IB points
$\boldsymbol{V}^{n+1}$
is
in which
$\boldsymbol{r}$
is the vector between the node and the IB points. Thanks to the advantages of the IB and VFIFE methods, the present fully coupled and fully resolved FSI model is suitable for solving structures with large deformations and can reflect the realistic dynamic behaviours of vegetation very well. Finally, it is necessary to point out that with carefully selected parameters listed in the next section, no collision occurs between adjacent vegetation elements, as well as the tip and wall, so there is no need to deal with collision problems in the current model.
2.2. Computational set-up
The schematic diagram of the computational model is shown in figure 2(a). An array of flexible vegetation indexed by
$n$
is clamped on the bottom surface. Each vegetation element is of length
$L$
and thickness
$t_s$
, and evenly spaced by a gap distance
$D$
. The inclination angle
$\theta$
is defined as the angle between the chord line and the vertical axis, given as
$\theta$
= arctan
$(\delta _x / (L + \delta _y))$
, where
$\delta _x$
and
$\delta _y$
are the tip displacements in
$x$
and
$y$
directions, respectively. A uniform velocity of
$U_\infty$
is applied at the left entrance and a laminar boundary-layer flow is developed along the bottom surface with a varying thickness
$h$
. The distance between the inlet and the first vegetation
$D_1$
is set to 16
$L$
in the present study, which ensures that all vegetation are immersed in the boundary layer. Four non-dimensional parameters widely used in many similar studies (O’Connor & Revell Reference O’Connor and Revell2019; Zhang et al. Reference Zhang, He and Zhang2019, Reference Zhang, Li and Zhang2022; Fang et al. Reference Fang, Gong, Revell and O’Connor2022), the Reynolds number
${\textit{Re}}$
, bending rigidity
$\gamma$
, mass ratio
$\beta$
and the gap distance
$d$
, are considered here. They are defined as
where
$E$
,
$I=t_s^3/12$
and
$\rho _s$
are the Young’s modulus, the moment of inertia of the vegetation’s cross-section and the vegetation density, respectively. The reduced velocity,
$U_r = \sqrt {\beta /\gamma }$
, is widely adopted for studying fluid–structure interaction problems such as vortex-induced vibration (VIV) where the mechanical properties such as
$E$
and
$\rho _s$
play an important role. Since
$U_r$
is a function of both
$E$
and
$\rho _s$
,
$\gamma$
and
$\beta$
are considered to be more suitable for separating the individual effects of these two properties (O’Connor & Revell Reference O’Connor and Revell2019). This is also the reason why more commonly seen parameters such as the Cauchy number
$Ca = 0.5 \rho _f C_D b U_\infty ^2 L^3/EI$
(the drag coefficient
$C_D = 1.0$
and the width of vegetation
$b = 1.0$
in this study) and mass ratio
$\rho _s/\rho _f$
are not used here.
In this study, the Reynolds number
${\textit{Re}}$
and mass ratio
$\beta$
are fixed at 400 and 1.0, respectively. The values of bending rigidity
$\gamma$
and gap distance
$d$
are listed as
which form a parameter space that includes 16
$\times$
11 = 176 simulation cases with the variation in
$\gamma$
achieved by only changing E. The corresponding values of
$Ca$
range from 0.83 to 12.50, which facilitates comparisons with a broader range of relevant studies.
Schematic diagrams of the (a) computational model and (b) computational domain.

As shown in figure 2(b), the computational domain is set as
$[0, 204L] \times [0, 8L]$
in the
$x$
and
$y$
directions. A non-uniform Cartesian mesh is employed in the simulations. In the subdomain of
$[9L, 195L] \times [0, L]$
that contains all vegetations, fine grids with a fixed width in both
$x$
and
$y$
directions are used to resolve the small flow structures. The grids are stretched outside the subdomain with a stretching coefficient of 1.016 in the
$x$
direction and 1.030 in the
$y$
direction. In addition, the dimensionless time step (
$\Delta tU_\infty /L$
) is chosen carefully to satisfy the CFL criteria (
$\Delta tU_\infty /\Delta x \lt 0.5$
). The boundary conditions are set as follows. Dirichlet boundary conditions (
$u = U_\infty , v = 0, \partial p/\partial x = 0$
) are imposed on the inflow boundary, while Neumann boundary conditions (
$\partial u/\partial x = \partial v/\partial x = 0, p = 0$
) are applied to the outflow boundary. The upper and bottom boundaries are set as free-slip (
$\partial u/\partial y = 0, v = 0, \partial p/\partial y = 0$
) and non-slip (
$u = 0, v = 0, \partial p/\partial y = 0$
) boundaries, respectively. For the clamped flexible vegetation, one end is fixed while the other end is free. Initially, all vegetation stand vertically (
$\theta = 0^{\circ }$
) with zero velocity.
Four issues need to be explained. First, the accuracy of the present numerical methodology has been verified in our previous work (Ni et al. Reference Ni, Ji, Xu, Zhang and Liang2023), in which the computational model and computational domain are the same as the current study. Also, the independent tests based on the case
$\gamma$
0.20d0.5 have been carried out to determine the number of vegetation elements in the array and the fine mesh size. It is seen from figure 20 of Ni et al. (Reference Ni, Ji, Xu, Zhang and Liang2023) that adding more vegetation elements to the array has almost no effect on the mean inclination angle of each element in the array and only affects the standard deviation of the inclination angle near the rear end of the array. No matter how much the number of vegetation elements is increased, from 70 to 100 or to 130, the slope of the standard deviation of the inclination angle in the rear portion remains almost constant. To study a longer vegetation array with as little computational effort as possible, the number of vegetation elements as 100 is selected in the simulations. A mesh grid independence test was also conducted on the same case with an array length of 100 under three fine-mesh sizes
$L/96$
,
$L/48$
and
$L/24$
. Figure 21 of Ni et al. (Reference Ni, Ji, Xu, Zhang and Liang2023) shows that both the mean and standard deviation of the tilt angle of each element in the array have significantly smaller discrepancies between
$L/96$
and
$L/48$
than between
$L/48$
and
$L/24$
. In view of the convergence, the fine-grid width
$L/48$
is used in the present study.
Second, the flow in the whole computational domain is laminar. The critical Reynolds number for the turbulence transition of flow over a smooth flat plate is as high as
$O(10^6)$
when the free stream turbulence is minimised (Schubauer & Skramstad Reference Schubauer and Skramstad1947; Schlichting & Gersten Reference Schlichting and Gersten2017), where the Reynolds number
${\textit{Re}}_x = U_\infty x/\nu$
is calculated based on the streamwise distance from the front end of the plate and the incoming flow velocity. In the present study, the largest Reynolds number at the exit
$x = 204L$
is
${\textit{Re}}_{out} = 204 \boldsymbol{\cdot} U_\infty L/\nu = 204 \times 400 = 81\,600$
, which is far below the critical value. Note that the existence of vegetation increases the flow instability and affects the critical Reynolds number. However, considering that
${\textit{Re}}_{out}$
is two orders of magnitude smaller than the critical value, it is reasonable to consider the vegetation flow in the present study as a laminar flow. Previous studies (O’Connor & Revell Reference O’Connor and Revell2019; Fang et al. Reference Fang, Gong, Revell and O’Connor2022; Zhang et al. Reference Zhang, Li and Zhang2022) have confirmed the formation and existence of the large-scale vortex in a laminar flow, which strongly supports the foundation and aim of the current research. In addition, the Reynolds number based on water depth
${\textit{Re}}_H = U_\infty H/\nu = 8 \boldsymbol{\cdot} U_\infty L/\nu = 8 \times 400 = 3200$
is also given here for further comparisons with a wider range of relevant studies.
Third, the two-dimensional (2-D) model used in this study is reasonable. According to Nepf (Reference Nepf2012), for terrestrial and deeply submerged canopies (
$H/L\gt 10$
,
$H$
is the water depth), the large-scale vortices are highly three-dimensional (3-D) because of their interaction with the larger boundary-layer turbulence, which stretches the large-scale vortices, enhancing secondary instabilities (Fitzmaurice et al. Reference Fitzmaurice, Shaw, Paw, K. and Patton2004; Finnigan, Shaw & Patton Reference Finnigan, Shaw and Patton2009). However, for an aquatic canopy shallowly submerged in a developing boundary-layer flow presented in this study, the boundary-layer turbulence is not present and the large-scale vortex is more coherent than that observed with deeply submerged (or terrestrial) conditions (Nepf Reference Nepf2012). Moreover, Bailey & Stoll (Reference Bailey and Stoll2016) concluded that that quasi-2-D mixing-layer-like roller structures exist in the developed canopy flows. Their work fully acknowledges the presence of highly 3-D and localised vortex pairing processes. However, as in a mixing layer, the smaller 3-D vortex interactions do not destroy the larger 2-D structure. In our present study, the attention is mainly paid to the evolution of the large-scale vortices and the 2-D simplification is reasonable, which has been widely used in many similar researches (O’Connor & Revell Reference O’Connor and Revell2019; Fang et al. Reference Fang, Gong, Revell and O’Connor2022; Zhang et al. Reference Zhang, Li and Zhang2022; Ni et al. Reference Ni, Ji, Xu, Zhang and Liang2023; Kim et al. Reference Kim, Yu and Kaplan2024).
Last but not least, in the following, turbulent terms such as fluctuating intensity and Reynolds stress will be mentioned, which seems to violate the laminar flow setting in this paper. However, in fact, the fluctuation of flow in the current study is regular, which is essentially different from the random fluctuation in turbulence. Here is to borrow the terms in turbulence just for convenience.
3. Results and discussion
3.1. Identification of different dynamic modes
Before introducing the evolution of large-scale vortices, it is necessary to classify different dynamic modes in the current parameter space, which lends itself to understand the discussions in the following sections. As stated in our previous study (Ni et al. Reference Ni, Ji, Xu, Zhang and Liang2023), distinct Monami modes can be further identified according to the fluctuation features of KH instability onset position
$n_o$
, which is determined by the following criterion:
where
$\widetilde {\theta }(n,t)$
is the fluctuation amplitude of the vegetation inclination angle of element
$n$
at time
$t$
. To improve the clarity of results, since the location of the first vegetation is fixed in all simulation cases,
$x = (n - 1)\boldsymbol{\cdot} D$
is used to convert
$n$
to the distance from the first vegetation
$x$
, which is further non-dimensionalised with the canopy length
$L_a$
to make
$x/L_a$
range from 0 to 1. The contours of instantaneous z-vorticity of different modes are shown in figure 3, while figure 4 gives the spatial and temporal variations in tilt angle fluctuations across the array, which helps to visualise the KH instability onset position. Note that the z-vorticity is nearly zero within the vegetation layer in most cases shown in figure 3, primarily due to the 2-D simulation used in this study. Different from the 3-D canopy that is semi-permeable and allows some through-flow, the 2-D canopy here provides full flow blockage. Therefore, the gap between the adjacent vegetation elements can be seen as a narrow cavity, the flow inside is extremely weak, resulting in almost zero vorticity.
Contours of instantaneous z-vorticity of several cases representing (a) regular Monami, (b) quasi-regular Monami_A, (c) quasi-regular Monami_B, (d) irregular Monami, (e, f) quasi-regular Monami_C, and (g) cavity oscillation modes.

Spatial and temporal variations in inclination angle fluctuations across the array in (a) regular Monami, (b) quasi-regular Monami_A, (c) quasi-regular Monami_B, (d) irregular Monami, (e) quasi-regular Monami_C and (f) cavity oscillation modes. The red solid line denotes the KH instability onset position
$x_o/L_a$
.

In regular Monami mode, as shown in figure 3(a), due to the fixed KH instability onset position, there is no low-frequency flow and no vortex merging appears as the KH vortex propagates downstream. This is also reflected in figure 4(a), where the KH instability onset position marked by a red solid line does not vary with time and the stripes are continuous without interruption. Note that each stripe in the plot represents a Monami wave propagating downstream with time. In regular Monami mode, the vegetation elements deflect by the same degree every time a large-scale vortex passes. In quasi-regular Monami_A mode, a single low frequency is caused by the regular fluctuation of KH instability onset position shown in figures 3(b) and 4(b), which can induce vortex merging to occur regularly in the downstream. However, the regular vortex merging that should have occurred does not appear in the case
$\gamma$
0.04d0.4, as highlighted by a black dashed box in figure 3(b). This is just because the length of the array is limited and the KH vortices leave the array before they interact with each other. Quasi-regular Monami_B mode is similar to quasi-regular Monami_A mode, and the difference is that the low frequencies in the former are both the single low frequency and its significant harmonics, which can eventually lead to complex interactions between KH vortices shown in figure 3(c). This is also seen in figure 4(c), where the interruptions of stripes indicating the merge between KH vortices occur almost randomly after
$x/L_a=0.60$
. The irregularity is more obvious in irregular Monami mode, since the KH instability onset position fluctuates irregularly with time, which is shown in figures 3(d) and 4(d). For the quasi-regular Monami_C mode emerging at relatively large
$\gamma$
, the KH instability onset position no longer changes with the vortex merging still exhibiting downstream, as shown in figures 3(e), 3( f) and 4(e). In these quasi and irregular Monami modes, the vegetation elements deform by different degrees each time a large-scale vortex passes, influenced by low-frequency effects. All the above-mentioned modes are Monami modes with
$x_o/L_a\gt 0$
, which means that there is a shear layer with KH instability before KH vortices are excited. However, note that if
$x_o/L_a=0$
, indicating that the swaying of vegetation begins from the first vegetation, this implies that the dynamic mode under this circumstance is the cavity oscillation (Zhang et al. Reference Zhang, Li and Zhang2022), as shown in figures 3(g) and 4( f).
A map for the distribution of the different dynamic modes in the parameter space of (
$\gamma$
,
$d$
). The green line is the diagonal line of region IV, where
$\gamma$
and
$d$
play an equivalent role.

The distribution of the above-mentioned dynamic modes in the current parameter space is shown in figure 5. Note that the bending rigidity
$\gamma$
in our previous study ranging from 0.04 to 0.22 is part of that in this work, so the divided regions I–IV are identical to those of Ni et al. (Reference Ni, Ji, Xu, Zhang and Liang2023). In region I, four Monami modes with a scattered distribution are observed due to the competition between
$\gamma$
and
$d$
. Increasing
$d$
leads to quasi-regular Monami_B mode dominating in region II, while increasing
$\gamma$
results in a prevalent distribution of regular Monami mode in region III. The irregular Monami mode is near the diagonal line of region IV. Moving away from this line in the direction of increasing
$\gamma$
and
$d$
, the dynamic modes transform to regular Monami mode and quasi-regular Monami_B mode, respectively. The expanded part in the present study is further divided into regions V and VI, which are mainly filled with quasi-regular Monami_C and cavity oscillation modes, respectively. The cavity oscillation modes only occur when both
$\gamma$
and
$d$
are large, which is consistent with the work done by Zhang et al. (Reference Zhang, Li and Zhang2022).
3.2. Determination of the size and strength of large-scale vortices
To better quantify the evolution of large-scale vortices across the canopy, reasonable assumptions need to be made, and then appropriate physical quantities are chosen to characterise the position and strength of the vortex.
It is necessary to clarify at the outset that the instantaneous geometry and intensity of different large-scale vortices passing a specific location, such as
$x/L_a=0.40$
in figure 3(c), vary from time to time due to low-frequency effects discussed in § 3.1. Since instantaneous values cannot capture the long-term characteristics of the vortex, the values of the large-scale vortices’ size and intensity presented in this study are statistical averages derived from multiple vortices passing specific locations over an extended period. Based on the contours shown in figure 3, the large-scale vortex in this study can be considered to be centrosymmetric about the vortex core, as shown in figure 6(a). Due to its clockwise rotation around the vortex core, the streamwise and vertical velocity fluctuation intensities
$\boldsymbol{\sigma }_u$
and
$\boldsymbol{\sigma }_v$
(the root mean square of the streamwise and vertical velocity fluctuation) exhibit local minima and maxima at the height of the vortex core, respectively, as indicated by the green dashed lines in figure 6(b). Additionally, at the upper and lower boundaries of the vortex,
$\boldsymbol{\sigma } _u$
is expected to attain local maxima. For a large-scale vortex, such as at
$x/L_a=0.50$
shown in figure 3(a), whose movement is not influenced by the vegetation, the local maximum values of
$\boldsymbol{\sigma } _u$
at the upper and lower boundaries are approximately equal, as seen in figure 6(b). In contrast, for a large-scale vortex propagating downstream at the top of the canopy, like those at
$x/L_a=0.30$
and 0.40 in figure 3(a), the vortex’s movement can be influenced by the canopy. This results in
$\boldsymbol{\sigma }_u$
deviating from its expected trend and forming a maximum at the canopy’s top, as shown in figure 6(b). In such cases, the lower boundary of the large-scale vortex is difficult to identify. Given the interaction between the large-scale vortex and the vegetation, the lower boundary of the large-scale vortex is excluded from the discussion. The vertical size of the large-scale vortex
$\Delta y$
is defined as the height difference between the upper boundary and the core of the vortex, that is, half of its actual vertical size. In addition, the strength and lower boundary of the VO vortex shed by vegetation oscillation are also determined by this means. Its upper boundary is not considered also owing to the interaction with the large-scale vortex. However, due to the small (an order of magnitude smaller than the large-scale vortex based on our results) and irregular size of the VO vortex, this method is somewhat rough. Despite this, the VO vortex is considered when necessary to assist in the analysis of large-scale vortices.
(a) Schematic diagram of the position, scale and strength of the large-scale vortex. (b) Vertical distributions of the streamwise velocity fluctuation intensity
$\boldsymbol{\sigma }_u$
and vertical velocity fluctuation intensity
$\boldsymbol{\sigma }_v$
(the root mean square of the streamwise and vertical velocity fluctuation) at some selected positions in the case
$\gamma$
0.20d0.4, where the black dotted line, the green dashed line and the cyan dashed line denote the undeflected vegetation height, the vortex core positions and the boundary positions of the vortex, respectively. Note that the dashed lines above
$y/L = 1.0$
represent the positions of the large-scale vortex, while the dashed lines below
$y/L = 1.0$
represent the positions of the VO vortex.

Note that the above-mentioned method is only used in the relatively stable flow field, that is, from the initial formation of large-scale vortices to the complex interactions between large-scale vortices. Taking the case
$\gamma$
0.04d1.2 as an example, as shown in figure 4(c), a position slightly downstream of the KH instability onset position is taken as the vortex identification initial position, as marked by the red dotted line in figure 4(c). Although there are stripe interruptions around
$x/L_a=0.40$
–0.60, which means the merging between large-scale vortices, the flow field is still relatively stable. After
$x/L_a=0.60$
, as marked by the blue dotted line in figure 4(c), the interruptions of stripes become frequent and messy, indicating that complex interactions between large-scale vortices occur, which leads to chaos in the flow field and the geometry of large-scale vortices is no longer identified. Therefore, in this study, the change of the position, size and strength of the large-scale vortex is discussed only in the range between the red dotted line and the blue dotted line. In addition, to minimise the interference of vegetation swaying, the flow field data at position
$x/L_a$
are taken from the position half-gap distance d upstream of this position.
Other methods to determine the large-scale vortex such as through the distributions of z-vorticity and Q-criterion are also considered. Assuming that the vertical profile of
$\omega _z$
and
$Q$
is a Gaussian distribution, it is easy to define the core, boundary and strength of the large-scale vortex. However, in the context of the current study, compared with the above-mentioned approach, using
$\omega _z$
, for one thing, can introduce more artificial interference, and for another, cannot reveal the vorticity induced by the rotation of the large-scale vortex alone under the influence of the stable shear layer. The more stringent Q-criterion overcomes these two disadvantages, but shows a less obvious tendency in vortex intensity between different stages. These significant drawbacks are discussed in detail in Appendix A.
3.3. Evolution zones and sequences of large-scale vortices across the canopy
In this section, the evolution of large-scale vortices across the canopy with different bending rigidity and gap distance are systematically investigated. According to the characteristics of the large-scale vortices during their evolution process, four evolution zones and seven evolution sequences are identified. In addition, the underlying mechanisms of the evolution of large-scale vortices in each zone are elucidated.
It can be seen from figure 3 that the evolution processes of large-scale vortices are different. In fact, they represent seven distinctive evolution sequences across the canopy and each sequence contains different evolution zones.
In the following, the characteristics of vortex evolution across the canopy are first introduced by taking the typical case
$\gamma$
0.20d0.4 as an example which is classified as regular Monami mode in § 3.1 without any low-frequency in the flow field, and three important zones are identified. Figure 7 gives the variations of the upper boundary, core position, vertical size and intensity of the KH vortex under this case, where the left y-axis is used for the vortex position and size, and the right y-axis is used for the vortex intensity. It is shown in figure 7(a) that as the KH vortex moves downstream from
$x/L_a = 0.25$
to 0.38, the position of the vortex slowly rises, and the vortex size and intensity gradually increase, and finally develop to the maximum. Based on the above-mentioned vortex features, this zone is referred to as the ‘developing’ zone, or zone D for short. While in the range of
$x/L_a = 0.45$
–1.00, the vortex slowly rises to a fixed height, and its intensity gradually decreases while its size remains almost unchanged. In accordance with the characteristics of the vortex, this zone is referred to as the ‘dissipation’ zone, or zone
${D}^*$
for short. Between these two zones, there is a short region around
$x/L_a = 0.40$
–0.45, where the vortex position is significantly uplifted. In the process of this rapid rise, the vortex intensity shrinks rapidly and the vortex size also decreases. This narrow region can be seen as a transition from zone D to
${D}^*$
, which is classified as zone T.
Variations of the upper boundary, core position, size and intensity of the large-scale vortex across the canopy under various cases. The solid, semi-hollow and hollow symbols denote zones D, T and
${D}^*$
, respectively. Zone I is not labelled, since the geometry of large-scale vortices is unable to be identified due to the complex interactions.

Figure 7(b–f) gives the variations of the characteristics of the large-scale vortex in the other cases shown in figure 3. As for the case
$\gamma$
0.04d0.4, it is seen from figure 7(b) that the size and intensity of the KH vortex continue to increase since its initial formation, i.e. the KH vortex is always in zone D. The same is true for the case
$\gamma$
0.04d1.2 except that zone D can only continue up to the vicinity of
$x/L_a = 0.60$
, after which the complex interactions between the KH vortices take place, as shown in figure 3(c). The zone after
$x/L_a = 0.60$
is called the ‘interaction’ zone, denoted as zone I for short. Similarly, the KH vortex goes through the zones D and
${D}^*$
sequentially and enters zone I after
$x/L_a = 0.40$
in the case
$\gamma$
0.20d1.2. As shown in figure 7(e), it is pertinent to emphasise that the changes in KH vortex characteristics are obviously different from those in the cases discussed previously. The differences are mainly manifested in three aspects. First, the intensity of the KH vortex gradually decreases, which means that it directly enters zone
${D}^*$
after its initial formation. Second, the size of the KH vortex does not change remarkably, but remains almost the same. Third, the KH vortex position does not undergo any significant uplifting when moving downstream. The case shown in figure 3(f) is similar to the case
$\gamma$
0.40d0.4, except that the dissipation process of the KH vortex is quickly interrupted by the emergence of zone I and, for conciseness, the variations of the KH vortex in the case
$\gamma$
0.40d1.2 are not shown separately in figure 7. As shown in figure 7(f), the intensity and size of the CO vortex in the cavity oscillation mode gradually decrease, which is similar to that in the case
$\gamma$
0.40d0.4.
A brief summary of the definitions of the four zones is provided here. The definitions of D, T,
${D}^*$
and I are taken from the words ‘developing’, ‘transition’, ‘dissipation’ and ‘interaction’, respectively. To avoid conflict, the ‘dissipation’ zone is referred to as
${D}^*$
. These zones are defined based on the size and intensity characteristics of the large-scale vortex during its evolution. In zone D, where the large-scale vortex is developing, the position of the vortex rises, and both its size and intensity increase until reaching a maximum. In zone
${D}^*$
, where the large-scale vortex is dissipating, its size gradually shrinks to a fixed value and its strength diminishes. In zone T, the transition from zone D to
${D}^*$
occurs rapidly, and the large-scale vortex is characterised by a rapid decrease in its strength and size, along with a swift upward lift in position. In zone I, where large-scale vortices interact, the geometry of large-scale vortices becomes difficult to identify. According to the types of large-scale vortices and the zones they go through successively, the evolution sequences of large-scale vortices in figure 3(a–g) can be named as
$\mathrm{KH\_DTD^*}$
, KH_D, KH_DI,
$\mathrm{KH\_DTD^*I}$
,
$\mathrm{KH\_D^*}$
,
$\mathrm{KH\_D^*I}$
and
$\mathrm{CO\_D^*}$
, respectively, and the typical case
$\gamma$
0.20d0.4 discussed thoroughly in this section is a
$\mathrm{KH\_DTD^*}$
sequence.
Contours of instantaneous z-vorticity in the case
$\gamma$
0.20d0.4 indicating the detailed interactions between the KH vortices and VO vortices. The VO vortex shed by the vegetation element at
$x/L_a = 0.32$
is labelled by number ‘1’.

To further explore the mechanisms related to the variations of a large-scale vortex in each zone, the contours of instantaneous z-vorticity in the range of (
$x/L_a$
,
$tU_\infty /L$
) = (0.24–0.40, 1128.3–1131.7) in the case
$\gamma$
0.20d0.4 are given in figure 8. Taking the vegetation element at
$x/L_a = 0.32$
as an example, as shown in figure 8(a), before the KH vortex interacts with it, the vegetation element sways to form VO vortex 1. When the KH vortex moves to the location
$x/L_a = 0.32$
, as shown in figure 8(b), due to the rotation direction of the upper boundary of vortex 1 (x-positive direction) being exactly opposite to that of the lower boundary of the KH vortex (x-negative direction), strong horizontal shearing occurs at the vortex–vortex junction. As the KH vortex continues to move downstream, the VO vortex gradually merges with the KH vortex and finally becomes part of the KH vortex, as shown in figure 8(c–f). In fact, within the illustrated range, the KH vortex continuously interacts and merges with several VO vortices as it moves downstream, which can be regarded as the main vorticity source to facilitate the increase in both size and intensity of the KH vortex in zone D. Conversely, the KH vortex conveys its energy to the surrounding fluid and vegetation array, thus helping the vegetation element to maintain its large-amplitude oscillation, which in turn can supply more vorticity to the KH vortex. It is also seen that the positive vorticity formed by the vegetation oscillation merges with each other and converges at the position below the upstream of each KH vortex. Since this portion of the vortex rotates counterclockwise, it imparts an upward velocity to the KH vortices. At approximately
$x/L_a = 0.40$
, shown in figure 8, the upward velocity is sufficiently large to uplift the KH vortices significantly and make them detach from the vegetation canopy. In this rapid rising process, i.e. in zone T, due to the larger convective velocity at higher positions, the KH vortex is horizontally stretched by the high-velocity flow, with corresponding compression in the vertical direction. This leads to a reduction in the vertical size of the KH vortex in zone T. The intensity of the KH vortex also decreases rapidly during uplifting and horizontal stretching, as shown in figure 7(a) from
$x/L_a = 0.40$
to 0.45. After that, since the KH vortex is at a distance from the vegetation, the KH vortex and the VO vortex cannot interact anymore in zone
${D}^*$
. During the downstream convection, the KH vortex has no vorticity supplement, but only gradually dissipates owing to the fluid viscosity.
However, in the cases shown in figures 3(e) and 3(f), after the formation of large-scale vortices, even though they also interact with the VO vortices, because of the large bending rigidity, the dissipation of the large-scale vortices caused by the vegetation swaying is greater than the vorticity supplement from the VO vortices to the large-scale vortices. As a result, the large-scale vortices enter zone
${D}^*$
since they are generated.
Finally, as mentioned in § 3.1, the appearance of zone I is caused by the low frequency in the flow, which eventually results in complex interactions between KH vortices in the rear portion of the array.
3.4. Influences of bending rigidity and gap distance on the evolution of large-scale vortices
In the previous section, different evolution zones and sequences of large-scale vortices are classified. In this section, the effects of bending rigidity
$\gamma$
and gap distance d on the evolution of large-scale vortices are discussed, including the effects on the evolution sequences, growth rate, dissipation rate, maximum strength and maximum size.
As mentioned in the last section, based on the types of large-scale vortices and the zones they enter successively, different evolution sequences of large-scale vortices can be identified. The distribution of the large-scale vortex evolution sequences in the parameter space is shown in figure 9, where the previously identified six regions are divided. On the whole, roughly bounded by
$\gamma$
= 0.28, in the region where
$\gamma \lt 0.28$
, the large-scale vortex first experiences zone D after its formation. When
$\gamma \geqslant 0.28$
, most of the large-scale vortices will directly enter zone
${D}^*$
. This reflects that
$\gamma$
has a decisive influence on the evolution of large-scale vortices. In particular, when both
$\gamma$
and d are large, i.e. in region V, the large-scale vortex is the CO vortex under the cavity oscillation mode. The distributions show obvious regularity in the region where
$\gamma \lt 0.28$
, which can be explained in combination with figure 5. In region II, because there are low frequencies in quasi-regular Monami_B mode which lead to the complex interactions between the KH vortices, almost all cases exhibit the KH_DI sequence. In region III, the
$\mathrm{KH\_DTD^*}$
sequence prevails because of the absence of low frequency in regular Monami mode. Similar to irregular Monami modes, the
$\mathrm{KH\_DTD^*I}$
pattern is mainly distributed on the diagonal of region IV. Moving away from the diagonal in the direction of increasing
$\gamma$
, the evolution sequence changes from
$\mathrm{KH\_DTD^*I}$
to
$\mathrm{KH\_DTD^*}$
in region III, while moving away from the diagonal in the direction of increasing d, the evolution sequence shifts from
$\mathrm{KH\_DTD^*I}$
to KH_DI in region II. In region I, when both
$\gamma$
and d are small, almost all cases contain low-frequency flow, which eventually should have resulted in the appearance of zone I. However, the KH instability onset position is very close to the end of the array in region I (Ni et al. Reference Ni, Ji, Xu, Zhang and Liang2023), which shortens the effective length for the evolution of KH vortices. As a result, the KH vortex has already left the array before zone I appears such as the case
$\gamma$
0.04d0.4, which has been mentioned in § 3.1. It can be inferred that if the length of the array is long enough, the sequences KH_D and
$\mathrm{KH\_DTD^*}$
in region I will turn into sequences KH_DI and
$\mathrm{KH\_DTD^*I}$
, respectively. The potential doubt about why evolution sequences in region II are KH_DI instead of
$\mathrm{KH\_DTD^*I}$
is also explained here. Because of the relatively small
$\gamma$
and large d in this region, the KH vortex gets less supplement from the VO vortex at the same convection distance, resulting in a low growth rate of the KH vortex, which will be further discussed. The influence mechanism of parameters is briefly summarised. Increasing
$\gamma$
can enhance the dissipation caused by vegetation swaying, thus zone D turns into
${D}^*$
at large
$\gamma$
. Increasing d can accelerate the emergence of low-frequency flow, resulting in the interactions between KH vortices and the appearance of zone I. In essence,
$\gamma$
and d play a role in modulating the features of low frequency, the KH instability onset position, and the growth rate of KH vortices, which lead to the dynamic modes and evolution sequences showing similar distributions in the parameter space.
A map for the distribution of the large-scale vortex evolution sequences in the parameter space of (
$\gamma$
, d).

Development of large-scale vortex intensity under different cases, where panels (a)–(d) are mainly cases with
$\gamma \lt 0.28$
where the first zone of the evolution sequence is zone D and panels (e)–(h) are mainly cases with
$\gamma \geqslant 0.28$
where the first zone of the evolution sequence is zone
${D^*}$
. The solid, semi-hollow and hollow symbols denote zones D, T and
${D}^*$
, respectively.

Several cases marked by black dotted boxes in figure 9 are selected to analyse the influence of
$\gamma$
and d on the variation of large-scale vortex intensity. Note that since the KH case dominates the parameter space in this study, only KH cases are selected, excluding the CO case. Here,
$x/L = (n - 1)\boldsymbol{\cdot} d$
is used to facilitate comparison under different gap distances. To make it easier to distinguish, figure 10(a–d) is mainly the cases with
$\gamma \lt 0.28$
where the first zone of the evolution sequence is zone D, while figure 10(e–h) is mainly the cases with
$\gamma \geqslant 0.28$
where the first zone of the evolution sequence is zone
${D^*}$
. The solid, semi-hollow and hollow symbols represent the large-scale vortex in zones D, T and
${D}^*$
, respectively. The variation of the large-scale vortex intensity shown in figure 10(a–d) is approximated in the simplified form of a three-segment line, and the slopes of each segment are calculated by the least-square method as
$k_{{D}}$
,
$k_{{T}}$
and
$k_{{D^*}}$
. Since the slope represents the speed of the variation of large-scale vortex intensity along the array, it can be used as an indicator of the development rate. More specific,
$k_{{D}}$
denotes the growth rate in zone D, while
$|k_{{T}}|$
and
$|k_{{D^*}}|$
correspond to the dissipation rates during the rapid uplift in zone T and free convection in zone
${D}^*$
, respectively. Similarly, in the cases shown in figure 10(e–h), the dissipation begins simultaneously with the formation of large-scale vortices, and the dissipation rates can be approximated by
$|k_{{D^*}}^1|$
and
$|k_{{D^*}}^2|$
. In other words,
$|k_{{D^*}}^1|$
and
$|k_{{D^*}}^2|$
are the dissipation rates for zone
${D}^*$
in sequences
$\mathrm{KH\_D^*}$
and
$\mathrm{KH\_D^*I}$
, as distinguished from
$|k_{{D^*}}|$
which is the dissipation rate for zone
${D}^*$
in sequences
$\mathrm{KH\_DTD^*}$
and
$\mathrm{KH\_DTD^*I}$
.
(a) Growth rate
$k_{{D}}$
of large-scale vortex intensity under different cases. Note that
$|k_{{ss}}|$
is the growth rate predicted by shear strength of the shear layer. (b) Variation of shear strength of the shear layer in zone D in the same cases with
$d$
= 0.4 as those in panel (a).

Figure 11(a) shows the growth rate of large-scale vortex intensity
$k_{{D}}$
under different cases. It is seen that with the increase of
$\gamma$
,
$k_{{D}}$
also increases, and the maximum value is obtained between 0.20 and 0.24. It is useful to further elucidate whether the variation trends in figure 11(a) are fundamentally a result of the changes of shear layer characteristics caused by varying
$\gamma$
and
$d$
. For a KH vortex in a shear layer, its growth rate can also be estimated based on the shear layer properties, such as the shear strength, which is defined as the ratio of the velocity difference
$\Delta U$
to the shear layer thickness
$S$
, i.e.
$(\Delta U/U_\infty )/(S/L)$
in a dimensionless form (Michalke Reference Michalke1964; Winant & Browand Reference Winant and Browand1974; Ho & Huerre Reference Ho and Huerre1984; Rogers & Moser Reference Rogers and Moser1992). It should be noted that in the current study, the VO vortex significantly influences the streamwise velocity distribution, i.e. the velocity difference inside the canopy induced by VO vortex, which is discussed in detail in § 3.6. Considering the discussion here focuses on the KH vortex, the shear layer thickness
$S$
is defined as the distance from the height where the maximum mean streamwise velocity occurs to the vegetation height, with
$\Delta U$
representing the corresponding velocity difference between these two heights. Also note that only zone D is included to analyse the growth rate. The variations of the shear strength in the same cases with
$d$
= 0.4 as those in figure 11(a) are shown in figure 11(b). It is seen that the vortex intensity predicted by shear strength decreases during evolution in zone D, which is exactly opposite to the observed tendency that the vortex intensity increases in zone D. Given the potentially negative correlation between KH vortex strength and shear strength of the shear layer, the growth rates
$|k_{{ss}}|$
between different cases in figure 11(b) are further compared. However, as shown in figure 11(a), the variation tendency of
$|k_{{ss}}|$
predicted by shear layer properties is different from that quantified directly by vortex intensity. This implies that it is not the changes to the shear layer caused by different
$\gamma$
or
$d$
that induce growth rate changes between different cases, and tends to favour other explanations. A reasonable interpretation is that the large-scale vortex can gain more vorticity supplement from the VO vortex with increasing
$\gamma$
, but further increasing
$\gamma$
leads to a significant rise in dissipation caused by vegetation swaying. Consequently,
$k_{{D}}$
first increases at smaller values of
$\gamma$
and then decreases as
$\gamma$
becomes larger. This interpretation also explains why
$k_{{D}}$
decreases as
$d$
increases in the range
$0.04 \leqslant \gamma \leqslant 0.10$
, which corresponds to the lower
$\gamma$
region. This occurs because, as
$d$
increases, the number of vegetation elements within the same length decreases, reducing the vorticity supplement of the VO vortex to the large-scale vortex and thus slowing the growth rate of the large-scale vortex intensity. From the perspective of the whole parameter space, the maximum growth rate of large-scale vortex strength is generally taken at medium
$\gamma$
and medium
$d$
, such as the case
$\gamma$
0.20d0.8.
The variations of dissipation rates of the intensity of the large-scale vortices
$|k_{{T}}|$
,
$|k_{{D^*}}^1|$
,
$|k_{{D^*}}|$
and
$|k_{{D^*}}^2|$
are shown in figures 12(a)–12(d), respectively. Note that the abscissa in figure 12(a) is the gap distance
$d$
and that in figure 12(b–d) is the bending rigidity
$\gamma$
. It is seen from figure 12(a) that the dissipation rate during the rapid uplift process in zone T,
$|k_{{T}}|$
, is mainly affected by d, and the maximum value is obtained at d = 0.8. In zone
${D}^*$
subsequent to zone T, as shown in figure 12(c),
$|k_{{D^*}}|$
is obviously impacted by both
$\gamma$
and d, and decreases with the increase of
$\gamma$
and d. In addition, on the whole,
$|k_{{T}}|$
is an order of magnitude larger than
$|k_{{D^*}}|$
. In contrast, the variations of
$|k_{{D^*}}^1|$
and
$|k_{{D^*}}^2|$
with
$\gamma$
and d are irregular. This is mainly because, on one hand, there are few data points in cases like d = 0.8, which may lead to a large fitting error. On the other hand, these parameters, from
$\gamma$
= 0.28 to 0.60, have a large jump and are the critical values of the transition to large rigidity. Nevertheless, by comparison, the relationship of dissipation rates can be summarised as
$|k_{{T}}|\gt |k_{{D^*}}^1|\gg |k_{{D^*}}|\approx |k_{{D^*}}^2|$
. That is to say, the intensity of the large-scale vortex dissipates fastest in the process of significant uplift and dissipates slowest during the free convection.
Variations of dissipation rates (a)
$|k_{{T}}|$
, (b)
$|k_{{D^*}}^1|$
, (c)
$|k_{{D^*}}|$
and (d)
$|k_{{D^*}}^2|$
in different cases.

Variations of the (a) maximum intensity
$\boldsymbol{\sigma }_{v\_{{max}}}/U_{\infty }$
and (b) maximum size
$\Delta y_{\_{{max}}}/L$
of the large-scale vortex in different cases.

Figure 13 displays the maximum intensity
$\boldsymbol{\sigma }_{v\_{{max}}}/U_\infty$
and maximum size
$\Delta y_{\_{{max}}}/L$
of the large-scale vortex in the evolution process under different cases. For the KH_DI sequence mainly distributed in the region of
$\gamma \leqslant 0.10$
, because the KH vortex does not fully develop to the maximum strength and size before entering zone I, it is not involved in the discussion here. It is seen from figure 13 that
$\boldsymbol{\sigma }_{v\_{{max}}}/U_\infty$
and
$\Delta y_{\_{{max}}}/L$
of the large-scale vortex are primarily affected by
$\gamma$
, and decrease with the increase of
$\gamma$
as a whole. However, a local peak exhibits near
$\gamma$
= 0.34, which is particularly evident in figure 13(a). It is not surprising since the
$\mathrm{KH\_DD^*I}$
sequence appears near
$\gamma$
= 0.34 as shown in figure 9. Compared with the
$\mathrm{KH\_D^*}$
and
$\mathrm{KH\_D^*I}$
sequences, the KH vortex in the
$\mathrm{KH\_DD^*I}$
sequence increases in its intensity and size after formation, thus leading to a local peak at
$\gamma$
= 0.34.
3.5. Influences of large-scale vortices evolution on vegetation swaying
As the large-scale vortex develops along the array, the swaying characteristics of vegetation in different zones are different. In this section, the influences of large-scale vortices evolution on vegetation swaying are simply discussed, including the influences on the mean and standard deviation of the vegetation tilt angle, which reflect the mean angular position and oscillation amplitude, respectively.
Variations of mean and standard deviation of tilt angle along the array in the same cases as those in figure 7. The mean and standard deviation of tilt angle are marked by black hollow circles and black solid lines, respectively.

Selecting the same cases as those in figure 7, the mean and standard deviation of the vegetation inclination angle in each case are shown in figure 14. It can be seen from figure 14(a–d) that the mean angular position of the vegetation in zone D is greater than zero and gradually increases with the enhancement of large-scale vortices. The swaying amplitude of the vegetation is also gradually increasing as the main trend. In zone T, as shown in figure 14(a), in the process of the rapid uplifting of KH vortices, the mean position of the vegetation swaying quickly returns to zero and the swaying amplitude gradually declines. Then in zone
${D}^*$
, the mean position remains unchanged at zero and the swaying amplitude continues to decline with the attenuation of the KH vortex. A similar process is also shown in figure 14(d), but the difference is that zone
${D}^*$
is interrupted by the appearance of zone I. It is seen from figures 14(c) and 14(d) that the variations of mean position and swaying amplitude in zone I in different cases show different trends. To be specific, in figure 14(c), the mean angular position and swaying amplitude increase, which is the same as those in zone D. While in figure 14(d), the mean angular position remains almost zero and the oscillation amplitude gradually decreases, which is identical to those in zone
${D}^*$
. This means that the characteristics of vegetation swaying in zone I duplicate those in its upstream zone. This is not surprising. If the upstream is zone D, the interactions occur between KH vortices with relatively great size and high intensity, so the chaotic flow field still maintains high intensity causing the vegetation in zone I to sway like that in zone D. As for the case where the upstream is zone
${D}^*$
, on one hand, the KH vortex has detached from the array before entering zone I. On the other hand, the KH vortex is in low intensity. As a result, after the interactions between KH vortices with low strength at a position far from the array, the flow field is very weak, which induces the vegetation to sway in the way like that in zone
${D}^*$
. For the two cases that are always in zone
${D}^*$
under large
$\gamma$
, as shown in figures 14(e) and 14(f), on the whole, the mean angular position of the vegetation is almost zero except that in the first and second vegetation in the cavity oscillation mode shown in figure 14(f), and the swaying amplitude is much smaller than that in the cases shown in figure 14(a–d). With the decrease of the strength of the large-scale vortex, the swaying amplitude is also reduced along the way.
3.6. Influences of large-scale vortices evolution on flow characteristics
In this section, the influences of large-scale vortices evolution on the flow characteristics, including the influences on the vertical distributions of both the time-averaged velocity (streamwise and vertical) and the Reynolds stress, are explored.
Vertical distribution of time-average streamwise velocity
$\overline {\boldsymbol{u}}$
and vertical velocity
$\overline {\boldsymbol{v}}$
normalised by the incoming flow velocity
$U_\infty$
marked in red and blue solid lines at different positions in the same cases as those in figure 7. The meanings of the horizontal lines are the same as those in figure 6(b).

Figure 15 shows the vertical distributions of the time-averaged streamwise velocity
$\overline {\boldsymbol{u}}$
and vertical velocity
$\overline {\boldsymbol{v}}$
, and the selected cases are the same as those in figure 7. The green and cyan dashed lines above
$y/L = 1.0$
are the positions of the large-scale vortex core and upper boundary, respectively, while the lines below
$y/L = 1.0$
represent the corresponding positions of the VO vortex. Overall, since the vegetated flow is dominated by downstream convection,
$\overline {\boldsymbol{v}}$
is significantly smaller than
$\overline {\boldsymbol{u}}$
and can even be an order of magnitude smaller in some positions. It has been mentioned in § 1 that the vertical distribution of
$\overline {\boldsymbol{u}}$
in the flow with submerged flexible vegetation approximately satisfies the hyperbolic tangent law, similar to that in figure 1. However, it can be seen from figure 15 that
$\overline {\boldsymbol{u}}$
does not obey this distribution law in the current study and the main difference is reflected by the fact that negative values of
$\overline {\boldsymbol{u}}$
exist in the
$y/L \lt 1.0$
part, which is rarely mentioned in the previous studies. This is mainly because the 2-D vegetation here is fully impermeable, while a 3-D canopy is semi-permeable, allowing some through-flow, rather than providing full flow blockage. Specifically, the position where the maximum negative value
$\overline {\boldsymbol{u}}^{-}$
is obtained is exactly the lower boundary of the VO vortex. This is not surprising since the streamwise velocity of the lower boundary of the VO vortex is negative due to its clockwise rotation. Therefore, it is reasonable to consider that the distribution of
$\overline {\boldsymbol{u}}$
inside the canopy is dominated by the VO vortex shed by the vegetation oscillation. In different cases, the position of the lower boundary of the VO vortex is different, which mainly depends on
$d$
and the swaying amplitude of the vegetation. When
$d$
is small, no matter how large is the swaying amplitude of the vegetation, under the obstruction of adjacent vegetation, the VO vortex can only be shed at a position slightly lower than the top of the vegetation, so that the lower boundary of the VO vortex is higher, as shown in figures 15(a), 15(b) and 15(e). The position of the VO vortex in the case
$\gamma$
0.20d0.4 can be seen in figure 8 as a reference. When d is large, if the swaying amplitude of the vegetation is also large, the VO vortex can be shed at a lower position, as shown in figures 15(c) and 15(d). A negative maximum
$\overline {\boldsymbol{v}}^{-}$
is also seen in the vertical distribution of
$\overline {\boldsymbol{v}}$
and it is reasonable to believe that
$\overline {\boldsymbol{v}}^{-}$
also results from the VO vortex since it is always taken near the top of the vegetation canopy, as shown in figure 15(a–e). In the external flow with
$y/L \gt 1.0$
, in zones D and
${D}^*$
, the upper boundary of the mixing layer (approximately the position of the maximum streamwise velocity
$\overline {\boldsymbol{u}}^{+}$
) almost coincides with the upper boundary of the KH vortex. The position of the inflection point in the mixing layer is very close to the position of the KH vortex core. That is to say, the vertical distribution of
$\overline {\boldsymbol{u}}$
in the free flow layer is controlled by the large-scale vortex, and the thickness and position of the mixing layer are similar to the vertical size and position of the large-scale vortex, respectively, which is consistent with previous conclusions (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002; Poggi et al. Reference Poggi, Porporato, Ridolfi, Albertson and Katul2004; Nepf et al. Reference Nepf, Ghisalberti, White and Murphy2007). Furthermore, the positive maximum
$\overline {\boldsymbol{v}}^{+}$
is taken at the upper boundary of the KH vortex due to the asymmetry of strength between the front and rear parts of the KH vortex. In zone D,
$\overline {\boldsymbol{v}}^{+}$
increases with the increase of the KH vortex intensity, while in zone
${D}^*$
,
$\overline {\boldsymbol{v}}^{+}$
decreases with the attenuation of the KH vortex. This provides another evidence proving that the large-scale vortices dominate the external flow of the canopy. In zone I, the interactions between large-scale vortices make the vertical distributions of both
$\overline {\boldsymbol{u}}$
and
$\overline {\boldsymbol{v}}$
more uniform.
It is noteworthy that the shear layer in the present study is significantly offset from the undeflected vegetation. In many previous studies (Ghisalberti & Nepf Reference Ghisalberti and Nepf2002, Reference Ghisalberti and Nepf2006; Nepf Reference Nepf2012), however, the shear layer is near the top of the canopy. This difference is mainly due to the current 2-D simulations. Since the 2-D vegetation in this study is fully impermeable, the KH vortex is deflected upwards, leading to a significant offset from the undeflected vegetation height; while in a 3-D condition, the KH vortices are able to invade into the interior of the vegetation canopy, resulting in shear layer lying near the top of the canopy. In addition, this offset occurring in 2-D studies is seen not only at the location where the KH vortex is excited, such as that in figure 15, but also at the location prior to the onset of the mixing layer instability (Fang et al. Reference Fang, Gong, Revell and O’Connor2022).
Contour of instantaneous z-vorticity of the front portion of the array in the case
$\gamma$
0.60d1.2.

Vertical distribution of Reynolds stress
$\boldsymbol{\tau }_{uv}$
normalised by the square of incoming flow velocity
$U_\infty ^{2}$
marked in red solid lines at different positions in the same cases as those in figure 7. The meanings of the horizontal lines are the same as those in figure 6(b).

It should be noted that in the cavity oscillation mode shown in figure 15(f), because the width of the cavity is larger than the horizontal size of the CO vortex, the CO vortex at its initial evolution stage (
$x/L_a$
= 0.02–0.03) can partially enter the interior of the array. Under this circumstance, the maximum negative velocity
$\overline {\boldsymbol{u}}^{-}$
is not caused by the VO vortex, but by the recirculation of the CO vortex within the cavity, as shown in figure 16. The maximum negative velocity
$\overline {\boldsymbol{v}}^{-}$
is also caused by the rotation of the CO vortex. This leads to, for one thing,
$\overline {\boldsymbol{v}}^{-}$
much larger than that shown in figure 15(a–e) which is caused by the VO vortex with lower intensity. For another,
$\overline {\boldsymbol{v}}^{-}$
is no longer obtained near the top of the canopy, but is taken at the core of the CO vortex. With the uplift and rapid dissipation of the CO vortex when moving downstream, the negative
$\overline {\boldsymbol{u}}$
inside the vegetation canopy becomes very weak and almost zero, and
$\overline {\boldsymbol{v}}^{-}$
also dissipates quickly.
In addition to the time-averaged velocity profiles, the Reynolds stress
$\boldsymbol{\tau }_{uv} = -\overline {\boldsymbol{u}^{\prime }\boldsymbol{v}^{\prime }}$
, where
$\boldsymbol{u'}$
and
$\boldsymbol{v'}$
represent the fluctuations of the streamwise and vertical velocity, is also a critical quantity measuring the vertical momentum exchange and is mainly impacted by the large-scale vortices. Figure 17 gives the vertical distributions of
$\boldsymbol{\tau }_{uv}$
in different cases and different zones. It is seen from figure 17(a–e) that in zones D and
${D}^*$
,
$\boldsymbol{\tau }_{uv}$
has a positive maximum value
${\boldsymbol{\tau }_{uv}}^{+}$
near the top of the vegetation canopy due to the strong horizontal shear and vertical momentum exchange. As
$y/L$
increases,
$\boldsymbol{\tau }_{uv}$
gradually decreases to zero near the upper boundary of the KH vortex. In the part of
$y/L \lt 1.0$
, owing to the influence of the VO vortex,
$\boldsymbol{\tau }_{uv}$
does not gradually decrease to zero like that in figure 1, but first forms a negative maximum
${\boldsymbol{\tau }_{uv}}^{-}$
and then increases to zero. Generally, combined with figure 14, a greater swaying amplitude will result in a larger
${\boldsymbol{\tau }_{uv}}^{-}$
, such as the case
$\gamma$
0.04d1.2 shown in figure 17(c). This indicates that the origin of
${\boldsymbol{\tau }_{uv}}^{-}$
is closely related to the outward and inward interactions led by the VO vortex, where the outward interaction is featured by
$\boldsymbol{u'}\gt 0$
and
$\boldsymbol{v'}\gt 0$
, while the inward interaction is featured by
$\boldsymbol{u'}\lt 0$
and
$\boldsymbol{v'}\lt 0$
. In zone I, the position where
${\boldsymbol{\tau }_{uv}}^{+}$
is obtained moves away from the top of the vegetation canopy, and
$\boldsymbol{\tau }_{uv}$
reduces to zero until near the top surface because of the chaos in the entire water depth caused by the complex interaction of KH vortices. For the cavity oscillation mode in figure 17(f), there is no apparent
${\boldsymbol{\tau }_{uv}}^{-}$
because of the weak vortex shed by small oscillations of the vegetation.
Affected by the enhancement of large-scale vortices in zone D,
${\boldsymbol{\tau }_{uv}}^{+}$
expands with the increase of KH vortex intensity. It should be noted that in figure 17(a),
${\boldsymbol{\tau }_{uv}}^{+}$
at
$x/L_a=0.40$
decreases compared with that at
$x/L_a=0.30$
. This is mainly because
$x/L_a=0.40$
happens to be the transition zone T. Although the KH vortex intensity reaches the maximum, it has begun to leave the array and the pulsation near the top of the array has started to weaken, thus reducing the Reynolds stress. In zone
${D}^*$
,
${\boldsymbol{\tau }_{uv}}^{+}$
falls with the dissipation of the large-scale vortex and, especially in the cavity oscillation mode,
${\boldsymbol{\tau }_{uv}}^{+}$
drops rapidly to zero in a short range with the attenuation of the CO vortex. The above-mentioned analysis indicates that the vertical momentum exchange in zone D is evidently stronger than that in zone
${D}^*$
.
4. Conclusion
In this paper, the evolution of large-scale vortices in submerged flexible vegetation canopy with finite length is investigated using direct numerical simulation in a 2-D laminar flow with a parameter combination of Reynolds number based on the length of vegetation
${\textit{Re}}$
= 400, mass ratio
$\beta$
= 1.0, bending rigidity
$\gamma$
= 0.04–0.60 and gap distance d = 0.4–1.6. According to the variation of the size and strength of the large-scale vortex, the evolution of the large-scale vortex is divided into zones ‘developing’ (D), ‘transition’ (T), ‘dissipation’ (
${D}^*$
) and ‘interaction’ (I), and different evolution sequences are distinguished according to the type of large-scale vortex and the combination of zones. The effects of
$\gamma$
and d on the growth rate, dissipation rate, maximum size, maximum intensity and evolution sequence of large-scale vortices are discussed. The features of vegetation swaying, vertical distribution of time-averaged velocity and Reynolds stress in different zones are analysed. The main conclusions are summarised as follows.
In zone D, interacting with the VO vortex, the large-scale vortex increases in size and intensity along the array, and the location of the large-scale vortex gradually rises. Then, the large-scale vortex is rapidly uplifted in a narrow range named zone T with its intensity sharply decreasing. In zone
${D}^*$
, the size of the large-scale vortex gradually shrinks to a fixed size and the strength of the large-scale vortex decays. In zone I, due to the complex interactions between large-scale vortices, the geometry of large-scale vortices is difficult to identify. Note that when
$\gamma$
is large, the massive dissipation caused by vegetation swaying makes large-scale vortices enter zone
${D}^*$
directly after excitation.
The evolution of large-scale vortices is significantly influenced by
$\gamma$
and d. With the increase of
$\gamma$
, the growth rate of large-scale vortex strength
$k_{{D}}$
in zone D increases first and then decreases. The fastest dissipation of large-scale vortex intensity, i.e.
$|k_{{T}}|$
, occurs in the process of significant uplifting of large-scale vortices in zone T and reaches its maximum at d = 0.8. The maximum intensity and maximum size of the large-scale vortex are mainly affected by
$\gamma$
and decrease with the increase of
$\gamma$
. In addition,
$\gamma$
and d modulate the distribution of evolution sequence in the parameter space by affecting the low-frequency flow and
$k_{{D}}$
.
For the influences of large-scale vortex evolution on vegetation swaying, it is found that the mean angular position and oscillation amplitude vary synchronously with the features of large-scale vortices in zones D and
${D}^*$
. The characteristics of the vegetation swaying in zone I follow the trends in the upstream zone. For the influences of large-scale vortex evolution on flow structures, the findings indicate that in zones D and
${D}^*$
, the vertical distributions of flow structures such as time-averaged velocity and Reynolds stress above the top of the array are controlled by the large-scale vortex, and their variations in different zones are determined by the evolution of large-scale vortices. Due to the current 2-D simulation that provides full flow blockage, the KH vortex cannot penetrate into the canopy. As a result, the negative values of mean streamwise velocity
$\boldsymbol{\overline {u}}^-$
and Reynolds stress
${\boldsymbol{\tau }_{uv}}^{-}$
inside the array mainly result from the VO vortex shed by vegetation oscillation. The inward and outward interaction events caused by the rotation of the VO vortex play a decisive role in the formation of
${\boldsymbol{\tau }_{uv}}^{-}$
. However, in the cavity oscillation mode,
${\boldsymbol{\tau }_{uv}}^{-}$
disappears due to the weak VO vortex shed by the small swaying of the vegetation, and
$\boldsymbol{\overline {u}}^-$
is much larger because the CO vortex partially invades into the array. Finally, in zone I, the complex interactions between large-scale vortices make the vertical distributions of flow structures more uniform.
Last but not least, this study focuses on the evolution of large-scale vortices and identifies different zones. In each zone, the characteristics of vegetation swaying and flow structures are different, which in turn immensely impacts the canopy drag in each zone. Even though this is out of the scope of the present study, relevant investigations may help to figure out which zone is the main source of the total canopy resistance to improve the understanding of canopy drag.
It is important to recognise that the conclusions drawn here are based on 2-D laminar flow conditions. While these conclusions are still significant, caution is advised when comparing them to studies based on 3-D turbulent flows.
Funding.
This work was financially supported by the National Natural Science Foundation of China (Grant Nos. 51779172, 52179076 and 12172361).
Declaration of interests.
The authors report no conflict of interest.
Data availability statement.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Appendix A. Comparison of different methods for determining the size and strength of the large-scale vortex
When it comes to the definitions of the vortex size and intensity, it is natural to determine them through the spatial distribution of vorticity or some criteria such as the Q-criterion. With the assumption that the vertical distribution of z-vorticity
$\omega _z$
complies with the Gaussian distribution, the vortex core is located at the position where
$\omega _z$
reaches its maximum absolute value and this value can be used to represent the intensity of the vortex. In this study, as shown in figure 18(a), due to the strong interaction between the flow and vegetation, the maximum of
$\omega _z$
is obtained near the top of the array, but the core of the large-scale vortex is actually taken at the local maximum above
$y/L = 1.0$
, as marked by a green dashed line. With
$\omega _z$
decaying along the vertical direction, the upper boundary of the large-scale vortex can also be defined. However, its determination is somewhat empirical and artificial, since it can be taken at the positions where
$\omega _z$
attenuates to different values. In the following, the position where
$\omega _z$
first damps to O(
$10^{-4}$
) is taken as the upper boundary of the large-scale vortex. Once the upper boundary is decided, the vertical size of the large-scale vortex is obtained.
(a) Vertical distribution of z-vorticity
$\omega _z$
and Q-criterion
$Q$
at
$x/L_a=0.50$
in the case
$\gamma$
0.20d0.4, where the former and the latter are represented by red and blue solid lines, respectively. The green and cyan dashed lines denote the core and the upper boundary positions of the large-scale vortex obtained by
$\omega _z$
, respectively, while the green and cyan dotted lines denote the core and the upper boundary positions of the large-scale vortex obtained by
$Q$
, respectively. (b) Variations of the upper boundary, core position, size and intensity of the large-scale vortex across the canopy in the case
$\gamma$
0.20d0.4, where the solid, semi-hollow and hollow symbols denote the results obtained from the methods using the vertical distributions of velocity fluctuation intensity
$\boldsymbol{\sigma }$
, z-vorticity
$\omega _z$
and Q-criterion
$Q$
, respectively.

To compare this method with the other one using the vertical distributions of the velocity fluctuation intensity
$\boldsymbol{\sigma }$
, the case
$\gamma$
0.20d0.4 is taken as an example and the results are shown in figure 18(b). It is seen from the figure that the core positions of the large-scale vortex determined by these two methods are very close. However, the upper boundary positions have a significant discrepancy, with the result using
$\omega _z$
always larger than that using
$\boldsymbol{\sigma }$
. As a result, the results of the vertical size are obviously different. This is mainly due to the interference of the artificial criterion O(
$10^{-4}$
), which does not exist at all with the method using
$\boldsymbol{\sigma }$
, as shown in figure 6. It is reasonable to believe that selecting another adequate criterion may lead to similar results between the two methods, but the adequate criterion is not known beforehand and can vary from case to case.
More importantly, it is shown in figure 18(b) that the results of the intensity even exhibit opposite trends from
$x/L_a=0.26$
to 0.40, which reflects another significant disadvantage of the method using
$\omega _z$
to determine the large-scale vortex. As shown in figure 3(a), a stable shear layer with high
$\omega _z$
is formed at the top of the array before the large-scale vortex is excited. The vorticity contained in the stable shear layer has an inevitable influence on the vorticity of the large-scale vortex at the initial excitation stage. More specifically, near the onset position, the vorticity of the large-scale vortex includes two parts. One originates from the rotation of the large-scale vortex itself and the other is from the stable shear layer. Therefore, even though the rotation of the large-scale vortex is slow when it is excited initially, the high vorticity from the stable shear layer results in large
$\omega _z$
taken at the core of the large-scale vortex. As the large-scale vortex develops and propagates downstream, the vorticity from its own rotation and the stable shear layer increases and decreases, respectively, leading to a decreasing tendency from
$x/L_a=0.26$
to 0.40 when using
$\omega _z$
to decide the intensity of the large-scale vortex. Note that in the range from
$x/L_a=0.50$
to 1.00, the results obtained through the two methods share a similar decreasing slope, indicating that in this range, the vorticity is almost totally from the rotation of the large-scale vortex. In a word, it is not suitable to determine the intensity of the large-scale vortex using
$\omega _z$
at the core position because the vorticity near the onset position cannot reveal the strength of the large-scale vortex itself under the influence of the stable shear layer.
Similarly, according to the vertical distribution of
$Q$
, the positions of vortex core and upper boundary can also be determined, as marked by green and cyan dotted lines in figure 18(a). Since the Q-criterion has a clear threshold
$Q = 0$
, the upper boundary of the large-scale vortex can be determined without introducing any artificial interference. As a result, it is seen from figure 18(b) that the core, upper boundary and vertical size of the large-scale vortex obtained by
$\boldsymbol{\sigma }$
and
$Q$
are very close. Particularly between
$x/L_a=0.38$
and 0.45, they both exhibit a decreasing trend in vertical scale. Regarding vortex intensity, the maximum values are observed at
$x/L_a=0.38$
for
$\boldsymbol{\sigma }$
and at
$x/L_a=0.32$
for
$Q$
. Despite this slight discrepancy, they both show a similar tendency: an initial increase, followed by a rapid decrease and then a gradual decline as
$x/L_a$
increases. Considering the vortex intensity reflected by
$\boldsymbol{\sigma }$
shows such a three-stage tendency more consistently with smaller fluctuations, the Q-criterion is not selected for vortex characterisation in this study.
Compared with the method using
$\omega _z$
and
$Q$
, it is more rational to determine the size and intensity of the large-scale vortex through
$\boldsymbol{\sigma }$
, because it reflects the features of the large-scale vortex itself without additional deliberate interference, and demonstrates a distinct stage characteristic. Hence, the size and intensity of the large-scale vortex is determined by the vertical distributions of
$\boldsymbol{\sigma }$
in this study.














































