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8/11/2019 Jurnal Publikasi Internasional
1/7
Rivers04
1stInternational Conference on Managing Rivers in the 21stCentury: Issues & Challenges
The Effects of Vegetations on the Hydraulic Roughness of an Open
Channel Flow
BADRONNISA YUSUF, Lecturer, Department of Civil Engineering, Faculty of
Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
ABDUL HALIM GHAZALI,Associate Professor, Department of Civil Engineering, Faculty
of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
MEGAT JOHARI MEGAT MOHD NOOR, Associate Professor, Department of Civil
Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
THAMER A. MOHAMED, Associate Professor, Department of Civil Engineering, Faculty
of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
KATAYON SAED, Lecturer, Department of Civil Engineering, Faculty of Engineering,Universiti Putra Malaysia, 43400, Serdang, Selangor
MANAL A. ABOOD, Research Students, Department of Civil Engineering, Faculty of
Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
FAIZAL MOHD KHAILANI,Research Students, Department of Civil Engineering, Faculty
of Engineering, Universiti Putra Malaysia, 43400, Serdang, Selangor
ABSTRACT
The purpose of this study is to analyze the effects of different type of vegetations to thevelocity and hence the hydraulic roughness of an open channel flow. Laboratory experiments
were explored to investigate the effects of varying characteristics (type, density, distribution)
of vegetations on the hydraulic roughness. Two types of plants namely Cyperus Alternifolius
(CA) and Otellia Alismoides (OA) were selected for this study. Mannings equation was
adopted to determine the value n, which is roughness coefficient for the channel. The
roughness contributed by the plants was determined using soil conservation service (SCS)
method. The results from the study showed that Otellia Alismoidesgave higher resistance to
flow velocity compared to Cyperus Alternifolius. The degree of effects of the vegetations also
depends on the density and distribution of the vegetation.
Keywords:Roughness coefficient, Mannings coefficient, Vegetations, Open channel, flowresistance.
1 Introduction
The solution of open channel flow related
problems such as computation of
backwater curve, flood routing and
channel improvement are related to the
determination of flow resistance value.
The magnitude of the resistance is usuallymeasured in term of resistance or
roughness coefficient and if Manning
equation is used, it is characterize by
Manning Coefficient. In area where flow
occurs through vegetation, the flow
resistance be largely determined by the
vegetation (Wu et al, 1999). Chow (1959)
reported that, increases in Mannings
roughness coefficient due to vegetationcan be as much as higher than that due to
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channels particle size alone, however
(Thorne, 1990) cautioned that vegetation's
effects are complex and depends on many
factors such as vegetation species, location
and density as well as channel's width,
depth and sediment size. The growth ofthick vegetations in channel can reduce
capacity and retard flow (Thorne, 1990,
Kao and Bartfield, 1978) and increases
flow resistance (Bakry et al, 1992). The
average water velocity of cross section is
reducing, because of roughness presented
by the stems and leaves of the plants.
The effects of vegetation vary
depending on the species, distribution,
density and size of vegetation. The
hydraulic roughness of vegetated channelis a function of the stiffness of the plants
growing in the channel, the depth,
velocity, hydraulic radius, plant density
and frontal area of the plant obstructing the
flow (Freeman, 2000). Vegetations that are
totally submerged in wet season give less
resistance to flow compared with
vegetations that are partially submerged
during dry season (Copeland, 2000).
Many studies have been conducted in
previous years to investigate the resistance
to flow provide by the vegetation, using
either artificial or real vegetation,
submerged or unsubmerged, at the
floodplain or at the main channel.
Thompson and Roberson (1976) used
small diameter cylinders to simulate
vegetation roughness elements of
vegetated open channels flow. They
presented analytical method to predict the
effect of flexible vegetation on flowresistance. Kao and Barfield (1978) made
his study to predict the flow hydraulics for
vegetated channels. Simulated dense
vegetation with random flexible blade was
used to determine the hydraulic properties
of small non-submerging depths.
Experimental results were used to
determine the coefficient of blade
resistance and plotted in the terms of blade
width and flow depth Reynolds number,
respectively. Pashe et al (1985) studiedoverbank flow characteristics on the
vegetated flood plains using cylindrical
wooden rods to simulate non-submerged
vegetative roughness. Reza Mahbub and
Suzuki, (1988), investigated flow
retardance effects of vegetation growth
using plastic styrene tapes to replicategrass. Abdelsalam et al (1992) presented
result of a research program conducted
during 15 years to collect and analyze field
data to describe the hydraulic resistance
characteristics of earthen channel infested
with ditch-bank (emergent) and submerged
aquatic weeds, under actual operating
condition. Fathi Maghdam, 1997 obtained
a mathematical model for estimation of
roughness for unsubmerged and flexible
vegetation in floodplains and vegetatedzone of river. Experiments were performed
to show the effects of non- rigidity and
inundation depth of vegetative roughness.
The researcher summarized that the
Mannings value increases proportionally
to the square root of flow depth and
inversely proportional to the mean velocity
for unsubmerged condition. Wu Fu et al
(1999) used artificial roughness, horsehair
mattress, to investigate the variation of
vegetation resistance with stage for
unsubmerged and submerged conditions.
Flow resistance of natural grass, sedges
and willows was studied by Jarvela (2002).
This study was laboratory based and
focused on the effects of local (tropical)
plants namely Cyperus Alternifolius (CA)
and Otellia Alismoides (OA) on the flow
resistance. These types of plants are
commonly found in shallow water bodies,
either on the bank or the bed of thechannel. In humid country like Malaysia
vegetation growth in a natural channel is
quite a common scene all year round
especially in small streams which do not
receive regular maintenance.
2 Resistance Coefficient
The most frequently used equation related
to the determination of flow resistance is
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Manning Equation due to its simplicity
and practicality.
2
1
3
2
SR
n
1V ! (1)
where V is the mean velocity (m/s), n is
the Mannings roughness coefficient, R is
the hydraulic radius (m), and S is the slope
of energy grade line (m/m). The challenges
part in using this equation lies in the
determination of n. Mannings roughness,
n, is highly variable and depends on many
factors such as stage and discharge,
channel irregularity, channel, changes in
channel width and shape, vegetation,
obstruction and channel alignment. Thepublished table of n (eg. Chow, 1959) is
usually used for initial estimate, whereby
the value are tuned and adjusted to reflect
the actual situation of the channel (Wilson,
2002). The roughness contributed by the
vegetation can be determined by using
(Cowan, 1956) procedure as discussed in
(Chow, 1959) and Soil Conservation
Service (SCS) method as described in
French 1994.
n = (no+ n1+ n3+ n4) m5
Where nois the roughness coefficient for a
straight, uniform and smooth channel, and,
n1, n2, n3, n4 is the value added to no for
channel irregularity, changes in channel
shape and size, obstruction and vegetation,
respectively. m5is the correction factor for
meandering of channel.
3 Materials and Methodology
3.1 Open Channel
The experiments were carried out in a
channel of 2400mm length, 500mm width
and 500mm height. The bed is covered
with sand of a slope of 0.1% referring to
the low land of the real river. Water is
pumped from the storage tank to a gravity
tank and then through the open channel.
The flow is controlled by the valve and
flow meter. The channel was divided into
three regions, the first region is thelocation before vegetation (0-50 cm from
the inlet) the second region is within the
vegetation (50-100 cm from the inlet) and
the third region is after the vegetation
(100-140 cm from the inlet). The second
region was where the vegetations were
planted. See Figure 1.
3.2 Vegetations
The vegetations selected for this study
were Cyperus Alternifolius (CA) and
Otellia Alismoides (OA). These types of
plant are quite common in shallow water
bodies around the country. Table 1 gives
the characteristics of these two plants.
3.3 Experimental Works
Vegetation of selected size and height
were initially planted in a poly bag. The
planted vegetations were then inserted and
covered under the sand bed. The velocity
at different depths and points at regions 1,
2 and 3 with and without vegetation were
measured using Streamflo velocity meter.
The results of the mean velocity were then
used in Mannings equation to determine n
for the overall channel. The roughness
contributed by the vegetation itself wasthen calculated. The number of vegetation
and arrangement were varied in order to
see the effects on the velocity and the
roughness coefficient. Vegetation of 5, 9,
14 numbers were distributed in three
different arrangements as shown in Figure
1a-c.
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Table 1 Characteristics of Vegetation.
CA OA
Family Cyperaceae Hydrocharitaceae
Local Name Rumput Kelulut Keladi Air
Propagation Seeds and stem cutting By fruits
Ecologicalfunction
Bank protection, reduce suspendedsolids and chemical pollutants
biodegrades organic pollutants in water
Reduce suspended solids andchemical pollutant; biodegrades
organic pollutants of water
Habitat Wet sites, swamps, ditches, marshy
lake, shores, secondary forest and
paddy filed
Shallow water bodies, lake and
paddy field
Figure 1 a) Channel section with vegetation in Arrangement Type 1 b) Vegetations
Arrangement Type 2 c) Vegetations Arrangement Type.
4 Results and Discussion
The result from the study shows that the
velocity of flow decreased in the present of
vegetations. OA gave higher reduction in
velocity compared to CA. This is due to
the physical characteristics of the OA.
Physical characteristics include the size of
stem, leaf, root and surface area. Thelength of OA used was 24-28 cm and the
diameter of stem was 0.5-1.0 cm. whereas
for CA, the length and the diameter of the
stem measured was 28-73 cm and 0.3-0.6
cm, respectively. The velocity reduction
also depending on the number and
arrangement of the vegetations planted.
For example, for number of OA of 5
(arrangement type 1), 9 (arrangement type
2) and 14 (arrangement type 3), thepercentage reduction of mean velocity
Region 1Region 2Region 3
Inflowoutflow
(a)
Vegetations
Region 2 Region 2
(b) (c)
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compared to the velocity of flow without
vegetation is 48%, 60% and 76%,
respectively. Whereas for CA in the
arrangement and quantities as above, the
reduction of mean velocity is 42%, 49%
and 60%, respectively. The results showthat the higher the flow area covered by
vegetation the higher the reduction in
velocity.
The roughness coefficients, n for
the channel with and without vegetation
were calculated using Mannings equation.
The contribution of roughness by the
vegetation to the overall roughness was
estimated using SCS method. The value of
n was higher at the vegetation and reduced
after the vegetation. The increment of ndepends on the physical characteristics of
the plants, density and distribution of the
vegetation. OA have the higher effects on
the n. The increment of n compared to that
of without vegetation is by 140%, 206%
and 406% for 5, 9 and 14 numbers of
plants respectively. The contribution of
OA to the overall roughness of the channel
is 58%, 67% and 80% depending on the
numbers and arrangement of plant. When
the Cyperus Alternifolius was present the
value of n increased by 106% for 5
numbers of plants, 133% for 9 numbers of
plants and 213 % for 14 numbers of plants.
CA contributed roughness to the overall
roughness of the channel of 52%, 57% and
68% for 5, 9 and 14 numbers of plants
respectively. Figure 2a and 2b show the
values of roughness coefficient, n of the
channel with and without vegetation.
Figure 3 shows the variation of n acrossthe regions with OA and CA, planted at 3
different arrangements. It clearly shows
the roughness increased significantly in the
region 2 where the vegetations were
planted and the increased depending on the
type, quantities and arrangement of the
vegetation.
0.015 0.015 0.015
0.0210.031
0.061
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
1 2 3
Type of Plant Arrangement
RoughnessCoefficient,n
Roughness contribute by the vegetation
Roughness without vegetation
2 (a)
0.015 0.015 0.015
0.0160.020
0.032
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0.05
1 2 3
Type of Plant Arrangement
RoughnessCoefficient,n
Roughness contributed by the vegetationRoughness w ithout vegetation
2 (b)
Figure 2 Channel Roughness coefficient
without vegetation and with vegetation for
a) OA b) CA.
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0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0 25 50 75 100 125 150
Distance from inlet (cm)
RoughnessCoeffi
cient,n
Arrangement
Type 1 (OA)
Arrangement
Type 2 (OA)
Arrangement
Type 3 (OA)
Arrangement
Type 1 (CA)
Arrangement
Type 2(CA)
Arrangement
Type 3 (CA)
Figure 3 Overall Channel Roughness Coefficient with OA and CA at Regions 1, 2 and 3.
5 Conclusions
Otellia Alismoides gave higher reduction
in velocity than Cyperus Alternifolius. The
higher the flow area covered by vegetation
the higher the reduction in velocity.
Roughness coefficient calculated at three
regions showed that the value of n was
higher at the vegetation (Region 2) andreduced after vegetation (Region 3). The
roughness coefficient depends on the type,
quantities and arrangement of the
vegetation. When the quantities of
vegetation are increased the roughness
coefficient also increased. Otellia
Alismoides has a higher effect on the
roughness of the channel contributed about
58% -80% to the overall roughness of the
channel depending on the quantities and
arrangement of the vegetations while
Cyperus Alternifolius contributed 52%-
68% to the overall channel roughness.
Vegetations also effect velocity
distributions of flow because of their
physical structure. The velocity
distributions seemed to be affected more
by the leaves than by the stem of
vegetation.
6 References
1. Abdelsalam M.W, Khattab, A.A.,Khalifa, Bakry, M.F., (1992). Flow
Capacity Through Wide and
Submerged Vegetation Channels.
Journal of Irrigation and Drainage.
ASCE. Vol 118, No. 5.
2. Bakry, M.F., Gates T.K., Khattab A.F.(1992). Field Measured Hydraulic
Resistance Characteristics in
Vegetation Invested Canals. Journal of
Irrigation and Drainage Engineering.
ASCE.Vol.118 No: 2.
3. Chow V.T. (1959). Open ChannelHydraulics. Mc Graw Hill.
4. Fathi Maghdam, M., Koewen, N.,(1997). Nonrigid, Nonsubmerged
Vegetative Roughness on Flood plains.
Journal of Hydraulics Engineering.
ASCE. Vol.123 No.1.
5. Freeman, G.E., Rahmeyer, W.J.,Copeland, R.R. (2000). Determination
of Resistance Due to Shrubs and
Woody Vegetation. Coastal and
Hydraulic Laboratory, US Army Corps
of Engineers. ERDC/CHL TR-00-25.
6. French, R.H. (1994). Open ChannelHydraulics. Mc-Graw-Hill Book Co.,
New York.
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7. Jarvela, J. (2002). Flow Resistance ofFlexible Vegetation, A Flume Study
with Natural Plants. Journal of
Hydrology, 269, 44-54.
8. Kao D.T.Y. and Barfield B.J. (1978).
Prediction of Flow Hydraulics forVegetated Channels. Transaction of the
ASAE. 489-494.
9. Pasche, E., Rouve, G., (1985).Overbank Flow with Vegetatively
Roughened Flood Plains. Journal of
Hydraulic Engineering, Vol. 111, No
9.
10.Reza Mahbub A.K.M. and SuzukiShigeyoshi, (1988). Flow Retardance
in Open Channels due to Artificial
Flexible Vegetation. IrrigationEngineering and Rural Planning No
13. 5-17.
11.Hompson G. T. and Roberson, J.A.(1976). A Theory of Flow Resistance
for Vegetated Channels. Transaction of
the ASAE. 19(2). 288 293.
12.Thorne, C.R., (1990). Effects of
Vegetation on Riverbank Erosion andStability. Vegetations and Erosion,
Wiley, 125-144.
13.Wilson, C.A.M.E., Horritt, M.S.,(2002). Journal Hydrological
Processes, Vol 16.
14.Wu F.C., Shen H.W., Chou Y.J.(1999). Variation of Roughness
Coefficient for Unsubmerged and
Submerged Vegetation. Journal of
Hydraulics Engineering.
ASCE.Vol.125 No.9.
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