Question: Question: Depth - averaged velocity observations from a Red River cross - section are given below. Here, x is the distance from the left bank

Question: Depth-averaged velocity observations from a Red River cross-section are given
below. Here, x is the distance from the left bank (m), U is the depth-averaged velocity (m/s),
and H is the flow depth (m).
x =[0,5,10,15,20,25,30,35,40]
U =[0,0.10,0.14,0.20,0.18,0.14,0.11,0.07,0]
H =[0,-1.1,-1.9,-3.5,-3.3,-2.5,-2,-1.5,0];
Step 1: Plot the shape of the measured cross-section.
Step 2: Interpolate (spline) the measured data for a
smoother cross-section using 0.01 increment.
Step 3: Include the interpolated cross-section in the
plot.
Step 4: Follow the same steps for the lateral velocity
distribution. Please note that you need to label your
figures as follows if you need to publish multiple figures
from the same script:
figure(1)
plot(....
figure(2)
plot(....
Step 5: Perform a basic fit analysis to find the best equation of the interpolated velocity curve.
Use only linear, cubic, and quadratic options. After you make the choice based on R2
, please
plot that equation versus the interpolated velocity curve as the third plot.
Step 6: Calculate the average velocity (V) for the cross-section. Please use interpolated U to
calculate the mean value.
Step 7: Write an interactive section for the parameters V in your script to calculate the
Gauckler-Manning coefficient (n) using the following equation.
=
1
2312
Here:
V : cross-sectional averaged velocity (m/s)
n : Gauckler-Manning coefficient
Rh : hydraulic radius (Rh =2m)
S : channel bed slope (S =0.00004)
Step 8: First, use the calculated V as the input and compute n. Then double the V and re-
compute n. Finally, make a short comment based on the difference. The most important
outcome of this test is to understand how n changes based on V.
Show Matlab script of solution.

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