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Evolution of flow velocity from the leading edge of 2-D and 3-D submerged canopies

Published online by Cambridge University Press:  14 April 2021

Jiarui Lei*
Affiliation:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02138, USA
H. Nepf
Affiliation:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02138, USA
*
†Email address for correspondence: garylei@mit.edu

Abstract

An analytical model was developed to predict the velocity evolution within a submerged canopy of finite width and used to explore the impact of plant flexibility and width on the velocity within the canopy. The analytical model was validated with laboratory experiments using canopies constructed from rigid cylinders and from individual model seagrass plants, consisting of six LDPE (low-density polyethylene) blades attached to a rigid sheath. Four canopy widths were considered, spanning 12.8 to 100 % of the channel width. As the canopy narrowed from the channel width (two-dimensional canopy) to finite width (12.8 % of the channel width), the velocity adjusted more rapidly at the leading edge and reached a lower fully developed in-canopy velocity. Predictions from the analytical model had good agreement with field and laboratory studies with real vegetation. Once validated, the model was applied to a range of field conditions to predict the within-canopy flow velocity and the adjustment length, which is the distance required for the flow to be fully developed.

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.(a) Flow adjustment along a 2-D submerged canopy. Vertical grey bars denote the canopy elements. Dashed lines display the development of the vertical shear layer, which contains vortices generated by Kelvin–Helmholtz instability. Here $\delta _{e}$ is the penetration length in the fully developed region, defined as the distance the shear layer vortices penetrate into the canopy; $X_D$ is the adjustment length. (b) Two-layer model with vertically uniform velocity within each layer. Within the adjustment region the vertically averaged velocity in the canopy and in the overflow are $U_{1}(x)$ and $U_{2}(x)$, respectively, and $U_{1f}$ and $U_{2f}$ are the velocities in the fully developed region, respectively. Here $U_{\infty }$ is the depth-averaged velocity upstream of the canopy.

Figure 1

Figure 2.Cross-section of a channel with a submerged canopy of finite width $2b$ (3-D canopy). The channel width is $2W$. The canopy, shown with grey shading, has velocity $U_{1,3D} (x)$), and the unobstructed outer flow region, shown in white, has velocity $U_{2,3D} (x)$. The vertical bars denote canopy elements. The canopy height is $h$. The water depth is $H$.

Figure 2

Figure 3.Side view of recirculating water channel with 8 m long submerged canopy that covered the channel width (2-D canopy). Figure is not to scale. Velocity measured with Nortek Vectrino along the centreline of the channel.

Figure 3

Table 1.Experimental conditions for 2-D canopies. Here $n =$ shoots per bed area; full canopy height, $h$; and deflected height, $h_{d}$, for flexible canopies only. For the rigid plants, $ah=ndh$ and $\phi ={\rm \pi} /4 nd^{2}$. For the flexible plants, the frontal area of each flexible plant was $A_{f}=l_{s}d+6w_{b}l_{b}$, $ah=nA_{f}$ and $\phi =({l_{s}({{\rm \pi} }/{4})nd^{2}+6l_{b}nbt})/({l_{s}+l_{b}})$. Each flexible plant had six blades, so that $n=520\ \textrm {plants}\ \textrm {m}^{-2}$ corresponded to $3120\ \textrm {blades}\ \textrm {m}^{-2}$.

Figure 4

Table 2.Experimental conditions for 3-D submerged canopies. Here $n=\text {shoots}$ per bed area; full canopy height, $h$, canopy width, $2b$; channel width $2W=120$ cm; and deflected height, $h_{d}$, for flexible canopies only. For rigid plants, $ah = ndh$ and $\phi =({{\rm \pi} }{4})nd^{2}$. For the flexible plants, the frontal area per plant was $A_{f}=l_{s}d+6w_{b}l_{b}$, $ah=nA_{f}$ and $\phi =({l_{s}({{\rm \pi} }/{4})nd^{2}+6l_{b}nbt})/({l_{s}+l_{b}})$. Each flexible plant had six blades, so that $n = 775\ \textrm {plants}\ \textrm {m}^{-2}$ corresponded to $4650\ \textrm {blades}\ \textrm {m}^{-2}$.

Figure 5

Figure 4.Canopy of flexible plants, dynamically and geometrically similar to Z. marina. Each plant consists of six LDPE blades attached to a rigid sheath (grey in image). One plant is painted in black to enhance visualization.

Figure 6

Figure 5.Recirculating channel with a submerged canopy of finite width ($2b$) less than the channel width ($2W = 1.2$ m). Shaded region denotes the canopy, located at the channel centre. (a) Side view; (b) top view; (c) front view. Not to scale.

Figure 7

Figure 6.Top view of canopy, with plant positions shown with grey circles. Blue circles denote velocity measurement points located mid-way between adjacent rows and columns of plants. At each blue dot, velocity was measured at three vertical positions, $z=2.5$, $4$ and $6$ cm for rigid canopies and $z=3$, $6$ and $8$ cm for flexible canopies. The canopy width is $2b$. (a) Case 5 and 9, velocity measured at $y=\pm \frac {5}{6}b$, $\pm \frac {1}{2}b$, $\pm \frac {1}{6}b$. (b) Case 6 and 10, $y=\pm \frac {13}{14} b$, $\pm \frac {1}{2}b$, $\pm \frac {1}{14}b$. (c) Case 7 and 11, $y=\pm \frac {25}{26} b$, $\pm \frac {15}{26} b$, $\pm \frac {5}{26} b$. The black dashed lines denote the channel and canopy centreline ($y = 0$).

Figure 8

Figure 7.Contours of streamwise velocity vs normalized distance. (a) Case 1-rigid, $n=520\ \textrm {m}^{-2}$ and $ah=0.23$, with distance, $x$, normalized by canopy height, $h=7$ cm, which is shown with a horizontal white line, $U_{\infty }=6.5\ \textrm {cm}\ \textrm {s}^{-1}$. (b) Case 4-flexible, $n=520\ \textrm {m}^{-2}$ and $ah$ distance normalized by deflected height, $h_{d} = 9$ cm, shown with a horizontal white line, $U_{\infty }=6.5\ \textrm {cm}\ \textrm {s}^{-1}$. The undeflected canopy height was $h = 14$ cm. Colour bar indicates the velocity magnitude. Black dots show the positions of velocity measurement. Black arrows denote the measured initial adjustment length (table 3).

Figure 9

Figure 8.Canopy-averaged velocity, $U_{1}$, vs distance from the leading edge of a 2-D canopy. Symbols denote measured values. Blue solid curves denote prediction from (2.11)–(2.13) for rigid canopies and (2.24)–(2.28) for flexible canopies. Dashed curves indicate the prediction uncertainty. Horizontal black lines show $U_{\infty }$. Vertical dashed lines show the position of predicted $X_{D}$. (a) Case 1-rigid, $n=520\ \textrm {m}^{-2}$, $h=7$ cm, $U_{\infty }=6.5\ \textrm {cm}\ \textrm {s}^{-1}$. (b) Case 2-rigid, $n=520\ \textrm {m}^{-2}$, $h=7$ cm, $U_{\infty }=16.5\ \textrm {cm}\ \textrm {s}^{-1}$. (c) Case 3-rigid, $n=1370\ \textrm {m}^{-2}$, $h=10$ cm, $U_{\infty }=6.5\ \textrm {cm}\ \textrm {s}^{-1}$. (d) Case 4-flexible, $n=520\ \textrm {m}^{-2}$, $h_{d}=9$ cm, $U_{\infty }=6.5\ \textrm {cm}\ \textrm {s}^{-1}$.

Figure 10

Table 3.Measured and predicted $X_{D}$ and $U_{1f}$. Here $C_{D}$ was calculated from (3.1) using $({U_{\infty }+U_{1f}})/{2}$ as the representative velocity; $X_{D}$ (this study) was calculated from (2.11)–(2.13). Uncertainty in $X_{D}$ (measured) was half the longitudinal resolution of the velocity measurement. Uncertainty in $X_{D}$ (this study) and $U_{1f}$ (predicted) propagated from uncertainty in $C_{D}$ and $K_{c}$. Uncertainty in $U_{1f}$ (measured) from spatial variation in measured velocity calculated as the standard error among all time-mean velocity measured in the canopy cross-section (18 points). For flexible meadows, the predicted velocity used the predicted canopy deflection. For comparison, the final column predicts velocity using the measured canopy deflection.

Figure 11

Figure 9.Velocity in 3-D rigid canopies, $U_{1,3D}$, vs distance from the leading edge. Symbols are measured values. Blue lines denote the 3-D analytical solution (A3)–(A5). Brown lines denote the 2-D solution (2.11)–(2.13). Dashed lines show uncertainty in prediction, based in uncertainty in $C_{D}$ and $K_{c}$. Horizontal black lines show $U_{\infty }$. Vertical dashed lines show $X_{D}$ predicted by our analytical model. (a) Case 5, $n=775\ \textrm {m}^{-2}$, $h=7$ cm, ${b}/{W}=0.13$. (b) Case 6, $n=775\ \textrm {m}^{-2}$, $h=7$ cm, ${b}/{W}=0.30$. (c) Case 7, $n=775\ \textrm {m}^{-2}$, $h=7$ cm, ${b}/{W}=0.51$. (d) Case 8, $n=775\ \textrm {m}^{-2}$, $h=7$ cm, ${b}/{W}=1$.

Figure 12

Figure 10.(a–c) Deflected height of flexible 3-D canopy. Squares denote the measured values. Solid lines denote prediction based on (2.24), (2.25), (2.26) and (2.29). Horizontal black lines denote the un-deflected meadow height. (a) Case 9, ${b}/{W}=0.13$; (b) case 10, ${b}/{W}=0.30$; (c) case 11, ${b}/{W}=0.51$. (d) Example of canopy image used to measure the deflected height. White vertical bars denote the position of measurement ($x= 5$, $10$, $15$, $20$, $30$, $41$, $51$, $61$ and $71$ cm).

Figure 13

Figure 11.Evolution of canopy-averaged velocity, $U_{1,3D}$, with distance from the leading edge of a flexible, 3-D canopy. The plant density is $n= 775\ \textrm {plants}\ \textrm {m}^{-2}$, corresponding to $4650\ \textrm {blades}\ \textrm {m}^{2}$. Triangles denote measurements. Blue solid lines denote the prediction based on the predicted deflected height (2.24)–(2.26), (2.28). Blue dashed lines denote the uncertainty in predictions, which came from uncertainty in $C_{D}$ and $K_{c}$. (a) Case 9, ${b}/{W} = 0.13$; (b) case 10, ${b}/{W} = 0.30$; and (c) case 11, ${b}/{W} = 0.51$.

Figure 14

Figure 12.Evolution of canopy-averaged velocity with distance from the leading edge of a Z. marina canopy. Symbols denote measured values estimated from figure 2 in Gambi et al. (1990). Blue solid lines denote the prediction based on the predicted deflected height from (2.24)–(2.26), (2.28). Blue dashed lines denote uncertainty in the prediction based on uncertainty in shoot density and $K_{c}$. Vertical dashed lines show the predicted $X_{D}$. Parameters: (a) $U_{\infty }=0.05\ \textrm {m}\ \textrm {s}^{-1}$, $C_{D}=2.5\pm 0.3$, $X_{D}=0.27$ m; (b) $U_{\infty }=0.10\ \textrm {m}\ \textrm {s}^{-1}$, $C_{D}=2.4\pm 0.2$, $X_{D}=0.41$ m; (c) $U_{\infty }=0.20\ \textrm {m}\ \textrm {s}^{-1}$, $C_{D}=2.1\pm 0.1$, $X_{D}=0.49$ m. Here $U_{\infty }$ is shown as a horizontal line in each subplot.

Figure 15

Figure 13.(a) Plot of ${X_{D}}/{h}$ as a function of $C_{D}ah$. Red, green and blue lines denote the condition with ${H}/{h}=2$, $5$ and $20$, respectively. (b) Measured ${X_{D}}/{h}$ against the value calculated by (5.1). Blue markers denote the measured data from multiple studies. Open circles: this study, case 1, 2 and 3; squares: Chen et al. (2013); triangles: Zhang et al. (2020); solid circle: this study, case 4 (flexible canopy). For the flexible canopy case, ${X_{D}}/{h_{d}}$ (measured) was plotted against ${X_{D}}/{h_{d}}$ (5.1). Black dashed line denotes the 1 : 1 ratio. (c) Plot of ${U_{1f}}/{U_{\infty }}$ as a function of $C_{D}ah$ and ${H}/{h}$. (d) Measured ${U_{1f}}/{U_{\infty }}$ against predicted ${U_{1f}}/{U_{\infty }}$ (by (2.1) and (2.30)). Different markers denote data from different studies (same as subplot (b)). Plots (a,c) are full solutions; (b,d) use the fitted equation, (5.1).

Figure 16

Figure 14.(a) Normalized adjustment length, ${X_{D}}/({{hb}/({h+b}))}$, as a function of ${1}/({C_{D}a({hb}/({h+b})))}$. Black, brown, blue, red and cyan lines denote the conditions ${b}/{W}=100$ %, 75 %, 50 %, 25 % and 5 %, respectively. The red and cyan lines overlap. (b) Measured ${X_{D}}/({{hb}/({h+b})})$ against predicted ${X_{D}}/({{hb}/({h+b})})$ (from (5.2)). (c) Plot of ${U_{1f,3D}}/{U_{\infty }}$ as a function of ${b}/{W}$ and $C_{D}ah$. (d) Measured ${U_{1f,3D}}/{U_{\infty }}$ against prediction from (2.22). Red markers denote the measured data from this study. Open circles: case 5, 6, 7 and 8 (rigid canopies); closed circles: case 9, 10 and 11 (flexible canopies). Blue markers denote the 2-D-canopy data from this study and several other studies (same as figure 13b,d). Plots (a,c) are full solutions; (b,d) use the fitted equation, (5.2).

Figure 17

Figure 15.(a) Plot of ${X_{D}}/{h}$ as a function of ${b}/{h}$ and $C_{D}ah$ for $W\gg b$. In this figure we set $h$ and $W$ constant, and ${b}/{h}$ ranges from 0.1 to 10. Here $C_{D} ah=0.5$, $1.0$, $2.0$ and $5.0$, representing typical SAV species; ${H}/{h}$ is assumed to be equal to 3, the mean value for typical SAV species. (b) Plot of ${U_{1f,3D}}/{U_{\infty }}$ as a function of ${b}/{h}$ and $C_{D}ah$ for $W\gg b$.