3.6. Gradually Varied Flow

The governing equation derived from the energy conservation law for describing the gradually varied flow is given by:

dhdx=S0Sf1Fr2=S0Sf1TQ2gA3

image (3.150)
in which S0 is the bottom slope of the channel, Sf is the friction or energy slope, Fr is the Froude number, dh/dx is the variation flow depth with respect to distance x, Q is the discharge (m3/s), T is top width of the channel (m), and A is the water area (m2).

3.6.1. Classification of Gradually Varied Flow

To classify gradually varied flow, first it is necessary to classify the slope, which is based on the relative magnitude of normal depth and critical depth of flow. The hydraulic classification of slopes following the subclassification of gradually varied flow is summarized in Table 3.9.

3.6.2. Computation of Gradually Varied Flow or Water Level Profile

Various procedures have been developed for determining the water surface profile in gradually varied flow (Henderson, 1966; US Army Corps of Engineers, 2002; Chaudhry, 2008). The computations are started at a location where the flow depth for specified discharge is known. When flow is subcritical, the flow profile is computed in the upstream direction, whereas the computations are made in the downstream direction when flow is supercritical. Among the various methods, some of the commonly used methods will be described here.

Table 3.9

Classification of Gradually Varied Flow

Slope ClassTypeConditionSubclass
MildMhn > hcM1: h>hn>hc,dhdx=+image
M2: hn>h>hc,dhdx=image
M3: hn>hc>h,dhdx=+image
SteepS
hn < hc
(hc > hn)
S1: h>hc>hn,dhdx=+image
S2: hc>h>hn,dhdx=image
S3: hc>hn>h,dhdx=+image
CriticalChn = hcC1: h>(hn=hc),dhdx=+image
C3: h<(hn=hc),dhdx=+image
HorizontalHhn = H2: (hn=)>h>hc,dhdx=image
H3: (hn=)>hc>h,dhdx=+image
AdverseAS0 < 0A2: h>hc,dhdx=image
A3: h<hc,dhdx=+image

image

3.6.2.1. Direct Integration Method

In the direct integration method, the water surface profile can be described by Eq. (3.150) using the finite difference method as follows:

dhdx=h2h1x2x1=F(x¯,y¯)

image (3.151)
where

x¯=(x1+x2)/2

image (3.152)

y¯=(y1+y2)/2

image (3.153)

F(x¯,y¯)=S0S¯f1F¯r2

image (3.154)

S¯f=[nQA¯R¯2/3]2

image (3.155)
With V¯=Q/A¯,F¯r=V¯gD¯,D¯=A¯/T,R¯=A¯/P¯image
Simplifying Eq. (3.151), the following form of governing equation results:

h2=h1+(x2x1)·F(x¯,y¯)

image (3.156)
Eq. (3.156) is used to compute the water surface profile in the downstream direction, which is generally used in the supercritical flow condition. For upstream computation of water surface profile usually used in subcritical flow condition, Eq. (3.156) will have the following form:

h1=h2(x2x1)·F(x¯,y¯)

image (3.157)
For application, the following steps are used:
1. Starting from the known flow condition at section 2, assume depth h1 at location x1, then calculate h1 using Eq. (3.154). The value of h1 can be assumed equal to h2 for the initial computation.
2. Repeat step 1 until the computed value of hˆ1image is equal to the assumed value of h1. When this is achieved (i.e., hˆ1=h1,assumedimage) then h1, assumed will be the flow depth at x1.
3. The first two steps will be repeated until the desired upstream location.

3.6.2.2. Direct Step Method

In the direct step method, the following form of specific energy equation is used:

dEdx=E2E1x2x1=ΔEΔx=S0S¯f

image (3.158)
with

E=h+αV22g=h+αQ22gA2

image (3.159)

S¯f=(Sf1+Sf2)/2

image (3.160)
and

Sf1=[nQA1R12/3]2

image (3.161)

Sf2=[nQA2R22/3]2

image (3.162)
Combining Eqs. (3.158) and (3.160) we get:

Δx=ΔES00.5(Sf1+Sf2)

image (3.163)
For an assumed value of depth h2, the location is determined using the following equation:

x2=x1+Δx

image (3.164)
In this method, computation of water surface profile is carried out in the upstream direction using the known value of hydraulic condition at the downstream control point. This method determines the upstream distance by successively increasing or decreasing the flow depth (i.e., with known or assumed value of flow depth, the location in the channel is determined where the flow depth is equal to the assumed value of depth). The computational procedure of this method is itself the disadvantage of this method, i.e., the flow depth cannot be determined at a predetermined location. To know the flow depth at a desired location, interpolation will be required. Another disadvantage of this method is that the method is quite difficult to apply for nonprismatic channels.

3.6.2.3. Standard Step Method

In the previous method, it is difficult to determine the flow depth at specified locations. To overcome this, a method called standard step method has been developed (Chow, 1959; Chaudhry, 2008). This method is the basis for a popular computer program known as HEC-RAS developed by Hydrologic Engineering Center, US Army Corps of Engineers.
In Fig. 3.10, the flow depth h1 for the specified discharge Q at section 1 (i.e., at location x1) is known and we have to determine the flow depth h2 at location x2 (section 2). Since h1 and channel geometry are known, other hydraulic parameters can be determined, such as A1, P1, R1, and V1 followed by total head H1 using the energy equation as:

H1=z1+h1+α1V122g

image (3.165)
According to energy equation, the total head at section 2 will be

H2=H1hf

image (3.166)
The value of hf can be determined by the average friction or energy slope as:

hf=12(Sf1+Sf2)·(x2x1)

image (3.167)
image
Figure 3.10 Computation of flow depth at distance x2.
Substituting H1 from Eq. (3.165) and hf from Eq. (3.167) into Eq. (3.166),

H2=H112(Sf1+Sf2)·(x2x1)

image (3.168)
Substituting Eq. (3.165) with subscripts and rearranging the terms results in the following form of governing equation for determining the water surface profile:

h2+α2Q22gA22+z2+12Sf2(x2x1)H1+12Sf1·(x2x1)=0

image (3.169)
In Eq. (3.169), A2 and Sf2 are functions of h2, and other quantities are known at section 1. Hence h2 may be determined by solving the following nonlinear algebraic equation using either a trial-and-error method or the Newton–Rapson method (Chaudhry, 2008).

F(h2)=h2+α2Q22gA22+z2+12Sf2(x2x1)H1+12Sf1·(x2x1)=0

image (3.170)
For using the Newton–Rapson method, an expression dF2dh2image will be required and is derived by Chaudhry (2008) using Sf=(nQAR2/3)2image.

dF2dh2=1α2Q2B2gA23(x2x1)(Sf2B2A2+23Sf2R2dR2dh2)

image (3.171)
The term dR2dh2image is given by the following expression:

dR2dh2=B2P2A2P22dP2dh2

image (3.172)
in which

dP2dh2=2;forrectangularchanneldP2dh2=21+z2;fortrapezoidalchannel

image (3.173)
where z is the side slope of the bank (H:V).
With an assumed value of h2image, the terms can be estimated, followed by estimating the refined value of h2 using the following formula:

h2=h2F(h2)[dF/dh2]

image (3.174)
If |h2h2|<εimage then h2=h2image, otherwise the previous computation will be repeated for a new value of h2image.
The step-by-step procedure of computing the water surface profile using the standard step method employing the Newton–Rapson method is summarized as follows:
1. Compute the total head H1 at section 1 from Eq. (3.165) for known values of h1 and z1.
2. Estimate the initial value of flow depth at section 2, i.e., h2 using Eq. (3.150) as:

f(x1,h1)=dhdx=S0Sf1Fr2=S0Sf1TQ2gA3

image (3.175)

h2=h1+f(x1,h1)(x2x1)

image (3.176)
3. Using the estimated value of h2image, determine B2,A2,P2,R2image, and Sf2image. The value of z2 is either given or computed from the longitudinal bed slope and channel reach length.
4. Compute the value of F(h2image) from Eq. (3.170) using the value of B2,A2,P2,R2image, and Sf2image.
5. Compute dF/dh2 from Eq. (3.171) using h2image and the corresponding value of B2,A2,P2,R2image, Sf2image, etc.
6. A better estimate for h2image is then computed using the following formula:

h2=h2F(h2)[dF/dh2]

image (3.177)
7. If |h2h2|εimage [ɛ is the specified tolerance, (say 0.001 m)], then h2image is the flow depth h2. If the condition is not satisfied, then steps 3–7 will be repeated for new value of h2image (i.e., h2image = h2).

3.6.2.4. Predictor–Corrector Method

In the predictor–corrector method, we consider subcritical flow in which the direction of integration will be upstream.
Let xn be the starting point where hn is known for the specified discharge Q and Δx is the step length so that xn+1 = xn  Δx, (xn+1 is the upstream location of xn). At xn with the given value of hn and Q, the total head can be determined. Denoting

F(h)=S0Sf(h)1Fr2(h)

image (3.178)
the flow can be computed using Euler's step scheme as:

dhdx=hnhn+1Δx=F(hn)

image (3.179)
or

hn+1=hnF(hn)·Δx

image (3.180)
whereas the predictor-corrector scheme will be

hpred=hnF(hn)·Δx

image (3.181)

hcorr=hn+1=hn0.5[F(hn)+F(hpred)]·Δx

image (3.182)
Example 3.17:
A rectangular concrete channel (n = 0.015) has a width of 7 m and longitudinal slope of 0.001 and carries a discharge of 12 m3/s. The water depth measured at the gauging location is 0.90 m. Use the direct integration method to determine the flow depth 100 and 200 m upstream of the gauging station (Table 3.10).
Solution:
Given: Channel section: rectangular; channel width, B = 7.0 m; Manning's n = 0.015, S0 = 0.001 m/m; Q = 12 m3/s; h0 = 0.90 m.
Example 3.18:
A rectangular concrete channel (n = 0.015) has a width of 7 m and a longitudinal slope of 0.001 and carries a discharge of 12 m3/s. The water depth measured at the gauging location is 0.90 m. Use the direct integration method to determine the flow depth of 100 and 200 m upstream of the gauging station.
Solution:
Given: Q = 12 m3/s, channel section = rectangular; bottom width, B = 7.0 m; longitudinal slope S0 = 0.001; Manning's n = 0.015; flow depth at gauging site, h0 = 0.90 m.
Computation: upstream direction;
x1: downstream location;
x2: upstream location.
Computational table is presented as a table. The columnwise description is summarized as below.
Col. (i): Assumed depth in the upstream direction of gauging station for which distance is to be computed;
Col. (ii)–(v): Hydraulic parameters corresponding to known value of flow depth either given or computed during previous step, discharge, and channel geometry;
Col. (vi): Slope of the energy grade line for computed flow parameters [Col. (ii) an (iv) along with Manning's n and Q];
Col. (vii): Specific energy using the value in Col. (i) and Col. (v);
Col. (viii)–(xiii): Flow parameters corresponding to the flow depth in the upstream direction for which distance x2 will be determined;
Col. (xiv): Difference in specific energy between consecutive sections;
Col. (xv): Δx will be computed using Δx=ΔES00.5(Sf1+Sf2)image;
Col. (xvi): Distance of the upstream section from the gauging station is determined using: x2 = x1 + Δx (Table 3.11).

Table 3.10

Computation of Water Surface Profile Using the Direct Integration Method (Trial-and-Error Approach)

xx2  x1Hh2imageh¯image (m)A¯imageP¯imageR¯imageT¯imageD¯imageV¯imageF¯rimageS¯fimageF(x,h)hˆ2image
(i)(ii)(iii)(iv)(v)(vi)(vii)(viii)(ix)(x)(xi)(xii)(xiii)(xiv)(xv)
00.9
∗1001000.93350.93350.916756.417258.83350.72646770.916751.869960.6235514940.0012047630.000340.933503
150500.94310.94310.93836.56818.87660.73993470.93831.8270120.6021935890.0011222340.000190.943089
200500.95020.95020.946656.626558.89330.74511770.946651.8108970.5942436420.001092310.000140.950235
3001000.95990.95980.9556.6858.910.75028170.9551.7950640.5864670880.0010634540.000100.959872
4001000.96560.96550.96276.73898.92540.75502570.96271.7807060.5794450330.0010377510.000060.965583
5231230.96960.96960.96766.77328.93520.75803670.96761.7716880.575049080.0010218310.000030.969612

image

Columnwise explanation of computation is summarized below:

Col. (i): Distance upstream of the gauging station where the flow depth is to be computed;

Col. (ii): Reach length (m);

Col. (iii): Final value of estimated flow depth at the upstream reach equal to Col. (xv);

Col. (iv): Assumed value of flow depth at desired reach (m);

Col. (v): Mean flow depth between the reach (m). For reach x = 100 m, h¯100=(h0+h100)/2image;

Col. (vi) to (x): Flow parameters corresponding to h¯image (m2) and given channel geometry;

Col. (xi): Mean flow velocity =Q/A¯image;

Col. (xii): Froude number for the corresponding value of mean velocity [Col. (xi)] and mean hydraulic depth [Col. (x)];

Col. (xiii): Mean energy grade line slope, S¯f=[nQA¯R¯2/3]2image;

Col. (xiv): Water taper function, F(x¯,h¯)=S0S¯f1F¯r2image;

Col. (xv): Estimated value of h2, hˆ2=h1+(x2x1)·F(x¯,h¯)image.

When the estimated value of h2 [Col. (xv)] is close to the assumed value of h2 [Col. (iv)], then computation is stopped for a particular reach.

Example 3.19:
A trapezoidal channel with a side slope of 1.5 (H:V) having a bottom width of 8.0 m and a longitudinal slope of 0.001 is carrying a discharge of 25 m3/s. A control structure is built at the downstream end, which raises the water depth at the downstream end to 5.0 m, where the channel bed level is 100 m. Compute the water surface profile using the direct step method. Assume Manning's n as 0.015.
Solution:
Given section = trapezoidal; bottom width, B = 8.0 m; side slope, z = 1.5; discharge, Q = 25 m3/s; Manning's n = 0.015; water depth at the control structure, h0 = 5.0 m; and channel bed elevation at control structure = 100.0 m.
Computational method: direct step.
Computation direction: upstream (Tables 3.12 and 3.13).
The bed elevation is determined: the bed elevation at the control structure, distance upstream, and longitudinal slope of the channel. The elevation of the water surface is determined by adding the channel bed level and the bed level. The water surface profile so obtained is depicted in Figs. 3.11 and 3.12.
Example 3.20:
A trapezoidal channel with a side slope of 1.5 (H:V) having a bottom width of 8.0 m and a longitudinal slope of 0.001 is carrying a discharge of 25 m3/s. A control structure is built at the downstream end, which raises the water depth at the downstream end to 5.0 m, where the channel bed level is 100 m. Compute the water surface profile using the standard step method. Assume Manning's n as 0.015.
Solution:
Given section = trapezoidal; bottom width, B = 8.0 m; side slope, z = 1.5; discharge, Q = 25 m3/s; Manning's n = 0.015; water depth at the control structure, h0 = 5.0 m; channel bed elevation at control structure = 100.0 m. Computational method will be the standard step with a trial-and-error method (Table 3.14).
Plot of the water surface profile is depicted in Fig. 3.13.
Example 3.21:
A trapezoidal channel with a side slope of 1.5 (H:V) having a bottom width of 8.0 m and a longitudinal slope of 0.001 is carrying a discharge of 25 m3/s. A control structure is built at the downstream end, which raises the water depth at the downstream end to 5.0 m, where the channel bed level is 100 m. Compute the water surface profile using the predictor-corrector method. Assume Manning's n as 0.015.
Solution:
Given: Section = trapezoidal; bottom width, B = 8.0 m; side slope, z = 1.5; discharge, Q = 25 m3/s; Manning's n = 0.015; water depth at the control structure, h0 = 5.0 m; channel bed elevation at control structure = 100.0 m.

Table 3.11

Computation of Water Surface Profile Using Direct Step Method

h1A1P1R1V1Sf1E1A2P2R2V2Sf2E2ΔEΔxx2
(i)(ii)(iii)(iv)(v)(vi)(vii)(viii)(ix)(x)(xi)(xii)(xiii)(xiv)(xv)(xvi)
0.906.308.800.71591.90480.00127471.08490
0.916.378.820.72221.88380.00123231.09096.378.820.72221.88380.00123231.09090.006023.505523.5055
0.926.448.840.72851.86340.00119181.09706.448.840.72851.86340.00119181.09700.006128.716352.2218
0.936.518.860.73481.84330.00115311.10326.518.860.73481.84330.00115311.10320.006236.038988.2606
0.946.588.880.74101.82370.00111611.10956.588.880.74101.82370.00111611.10950.006347.075135.336
0.956.658.900.74721.80450.00108061.11606.658.900.74721.80450.00108061.11600.006565.5956200.931
0.966.728.920.75341.78570.00104671.12256.728.920.75341.78570.00104671.12250.0066103.09304.021
0.976.798.940.75951.76730.00101421.12926.798.940.75951.76730.00101421.12920.0067219.207523.228

image

Table 3.12

Computation of Water Surface Profile Using the Direct Step Method When the Control Structure Is Provided Downstream

h1A1P1R1V1Sf1E1A2P2R2V2Sf2E2ΔEΔxx2
(i)(ii)(iii)(iv)(v)(vi)(vii)(viii)(ix)(x)(xi)(xii)(xiii)(xiv)(xv)(xvi)
5.0077.50026.0282.97760.32260.00000555.0050
4.5066.37524.2252.73990.37660.00000834.50766.37524.2252.73990.37660.0000084.507230.4981501.531501.53
4.0056.00022.4222.49750.44640.00001324.01056.00022.4222.49750.44640.0000134.010160.4971502.4891004.02
3.5046.37520.6192.24910.53910.00002223.51546.37520.6192.24910.53910.0000223.514810.4953504.2771508.30
3.2541.84419.7182.12210.59750.00002953.26841.84419.7182.12210.59750.0000293.268190.2466253.1551761.45
3.0037.50018.8171.99290.66670.00003993.02337.50018.8171.99290.66670.0000403.022650.2455254.3572015.81
2.7533.34417.9151.86120.74980.00005522.77933.34417.9151.86120.74980.0000552.778650.2440256.1842271.99
2.5029.37517.0141.72650.85110.00007872.53729.37517.0141.72650.85110.0000792.536920.2417259.0842531.08
2.2525.59416.1121.58840.97680.00011582.29925.59416.1121.58840.97680.0001162.298630.2383263.9572795.03
2.0022.00015.2111.44631.13640.00017762.06622.00015.2111.44631.13640.0001782.065820.2328272.853067.88
1.8019.26014.4901.32921.29800.00025941.88619.26014.4901.32921.29800.0002591.885880.1799230.2553298.14
1.6016.64013.7691.20851.50240.00039451.71516.64013.7691.20851.50240.0003951.715050.1708253.8163551.96
1.4014.14013.0481.08371.76800.00063181.55914.14013.0481.08371.76800.0006321.559320.1557319.8813871.84
1.3012.93512.6871.01951.93270.00081911.49012.93512.6871.01951.93270.0008191.490390.0689251.0894122.92
1.2011.76012.3270.95402.12590.0010831.430340.06011222.655345.57

image

Table 3.13

Computation of Water Surface Profile

h5.04.54.03.53.33.02.82.52.32.01.81.61.41.31.2
EL-bed100.000100.502101.004101.508101.761102.016102.272102.531102.795103.068103.298103.552103.872104.123105.346
EL-WS (m)105.000105.002105.004105.008105.011105.016105.022105.031105.045105.068105.098105.152105.272105.423106.546

image

image
Figure 3.11 Flow depth upstream of the control structure.
image
Figure 3.12 Water surface profile upstream of the control structure.

Table 3.14

Computation of Water Surface Profile Using Standard the Step Method With a Trial-and-Error Approach

xhAPRTDVFr2imageV2/2gZHSff(x,h)ΔxhS¯fimagehfHɛRemark
(i)(ii)(iii)(iv)(v)(vi)(vii)(viii)(ix)(x)(xi)(xii)(xiii)(xiv)(xv)(xvi)(xvii)(xviii)(xix)(xx)(xxi)
05.00077.5026.032.9823.003.370.320.0030.005100.0105.0050.0000050.001004.501
5004.50166.4024.232.7421.503.090.380.0050.007100.5105.0080.0000080.001005004.0030.00000690.0034105.010.0005OK
10004.00356.0622.432.5020.012.800.450.0070.010101.0105.0130.0000130.000995003.5060.00001080.0054105.010.0005OK
15003.50746.5020.642.2518.522.510.540.0120.015101.5105.0210.0000220.000995003.0120.00001760.0088105.020.0007OK
20003.01537.7618.872.0017.052.220.660.0200.022102.0105.0370.0000390.000985002.5250.00003060.0153105.040.0008OK
25002.53029.8417.121.7415.591.910.840.0370.036102.5105.0660.0000750.000965002.0500.00005720.0286105.070.0002OK
30002.06422.9015.441.4814.191.611.090.0750.061103.0105.1250.0001590.000915001.6090.00011690.0585105.120.0005OK
35001.64717.2413.941.2412.941.331.450.1610.107103.5105.2540.0003560.000775001.2630.00025730.1286105.250.0008OK
40001.34813.5112.861.0512.041.121.850.3110.175104.0105.5230.0007220.000405001.1460.00053880.2694105.520.0010OK
45001.23312.1412.450.9811.701.042.060.4160.216104.5105.9490.0009850.000035001.2200.00085330.4267105.950.0002OK
50001.22712.0712.420.9711.681.032.070.4230.219105.0106.4460.0010020.000005001.2270.00099360.4968106.450.0003OK

image

Columnwise description of computation is given as follows:

Col. (i): Distance where flow depth to be estimated;

Col. (ii): Assumed value of flow depth to which trial and error is made to arrive at the final value. For x = 0, h0 is known;

Col. (iii) to (ix): Hydraulic parameter corresponding to given or assumed value of h;

Col. (x): Estimate of the velocity head using flow velocity V [Col. (viii)];

Col. (xi): Estimated value of channel bed elevation as zn + 1 = zn + S0(xn  xn+1);

Col. (xii): Estimation of total head as H = z + h + V2/2g;

Col. (xiii): Estimation of energy grade slope as Sf=[nQAR2/3]2image;

Col. (xiv): Estimation flow depth tapering function as f(x,h)=S0Sf1Fr2image

Col. (xv):Δx = xn + 1  xn;

Col. (xvi): Computation of initial depth for xn + 1 as, h2=h1+f(x1,h1)(x2x1)image, which will be used in Col. (ii) as the first trial value for xn + 1. With this trial value of flow depth, hydraulic parameters will be computed, i.e., Col. (iii)–Col. (xiv);

Col. (xvii): Mean value of energy grade slope is estimated as: S¯f,n+1=(Sf,n+Sf,n+1)/2image;

Col. (xviii): Head loss is computed using the mean energy grade line slope as hf,n+1=S¯f,n+1·Δximage;

Col. (xix): Total head is computed by adding the total head at previous section to head loss as Hn+1 = Hn + hf,n+1;

Col. (xx): Estimated value of tolerance factor. If the absolute difference in estimated head in Col. (xix) and direct estimate of head in Col. (xii) is less than or equal to the tolerance factor ɛ, then trial is stopped otherwise computation is repeated for the next trail value of h. That is, |HH|εimage.

image
Figure 3.13 Water surface profile estimated using the standard step method and its comparison with the result of direct step method.
Computational method: Predictor–corrector method (Table 3.15).
Computation of water surface profile is given as follows, and depicted in Fig. 3.14.
x050010001500200025003000350040004500
Bed level, z100.0100.5101.0101.5102.0102.5103.0103.5104.0104.5
Water level105105.0015105.0039105.008105.0155105.0302105.0632105.1503105.4173105.9188

image

Table 3.15

Computation of Water Surface Profile Using the Predictor–Corrector Method for the First Iteration

x1x2Δxh1A1P1R1T1D1V1Fr12imageSf1F(x,h1)h2, predA2P2R2T2D2V2Fr22imageSf2F(x,h2)h2, corr
05005005.00077.5026.032.9823.003.370.320.00315.47E060.0009984.50166.4024.232.7421.503.090.380.00478.32E060.0009964.501
50010005004.50166.4124.232.7421.503.090.380.00478.31E060.0009964.00356.0722.432.5020.012.800.450.00721.32E050.0009944.004
100015005004.00456.0822.442.5020.012.800.450.00721.32E050.0009943.50746.5020.642.2518.522.510.540.01172.20E050.000993.508
150020005003.50846.5220.652.2518.522.510.540.01172.20E050.0009903.01337.7218.862.0017.042.210.660.02023.92E050.0009813.015
200025005003.01537.7618.872.0017.052.220.660.02023.91E050.0009812.52529.7717.101.7415.581.910.840.03767.58E050.000962.530
250030005002.53029.8417.121.7415.591.910.840.03747.53E050.0009612.05022.7015.391.4814.151.601.100.07701.62E040.0009072.063
300035005002.06322.8915.441.4814.191.611.090.07541.59E040.0009101.60816.7513.801.2112.821.311.490.17403.87E040.0007421.650
350040005001.65017.2913.951.2412.951.331.450.15973.53E040.0007691.26612.5312.561.0011.801.062.000.38238.99E040.0001631.417
400045005001.41714.3513.111.0912.251.171.740.26416.05E040.0005361.14911.1712.140.9211.450.982.240.52291.26E030.000541.419
450050005001.41914.3713.121.1012.261.171.740.26326.03E040.0005391.14911.1812.140.9211.450.982.240.52251.26E030.000541.419

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Figure 3.14 Water surface profile using predictor–corrector method for the first iteration only.
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