Mechanics and modeling of flow, sediment transport, and morphologic change in riverine lateral...
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Transcript of Mechanics and modeling of flow, sediment transport, and morphologic change in riverine lateral...
Mechanics and modeling of flow, sediment transport, and morphologic change in riverine lateral separation zones
Brandy Logan, Jonathan Nelson, Rich McDonald, and
Scott WrightUSGS Golden, COUSGS Sacramento CA
Courtesy of Scott Wright
A well calibrated flow model
does not necessarily accurately
predict morphologic change
Outline
• Project background• Flow model calibration• Morphodynamic modeling• Process not accounted for
in the model
Courtesy of Scott Wright
Background: 2008 High Flow Experiment
0
200
400
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800
1000
1200
1400
03-01 03-03 03-05 03-07 03-09 03-11 03-13
Date
Dis
cha
rge
(m
3 /s)
0
500
1000
1500
2000
2500
3000
3500
Su
spe
nd
ed
-sa
nd
co
nce
ntr
atio
n (
mg
/L)
Background: Study area
Flow direction
rapid
eddy
Eminence Break bar
DATA COLLECTED:• Detailed bathymetry• ADCP velocity profiles• Water-surface elevations• Sediment concentration
by size class• D50 of the bed surface
pool
Flow calibration: Delft3D Model
• 2D and 3D• Steady and unsteady flow• Several turbulence models• Various sediment transport
relationships
Flow calibration: water surface
Difference between measured and modeled ws
(m)
ks=0.03 and 1.5 ~zo=0.001 and 0.05
2D3D
zo=0.001 and 0.05
RMS=0.028 m for 3D and 0.043 for 2D
Flow calibration: velocity
Modeled eddy-eye is shifted upstream
2.1925 2.193 2.1935
x 105
5.9725
5.973
5.9735
5.974
x 105
Black = Measured
Blue = 3D
Red = 2D
RMS error is 0.34 for 3D and 0.36 m/s for 2D
xxx
Flow calibration: velocityMeasured Modeled
Flow calibration: Summary
• 2D and 3D models are well calibrated based on water surface elevations and velocity
• 3D flow model is marginally better than 2D
Morphodynamic modeling
• Input– HFE Hydrograph– Suspended sediment concentration– Sediment thickness on the bed– Initial bed grain size distribution
• Output– Evolution of bed through time– Suspended sediment concentration– Composition of bed
Morphodynamic modeling: Measured data
Elevation (m)
0
200
400
600
800
1000
1200
1400
03-01 03-03 03-05 03-07 03-09 03-11 03-13
Date
Dis
cha
rge
(m
3 /s)
0
500
1000
1500
2000
2500
3000
3500
Su
spe
nd
ed
-sa
nd
co
nce
ntr
atio
n (
mg
/L)
March 2 17:00March 5 12:00March 5 17:00March 6 10:00March 6 15:00March 8 09:00March 10 16:00
Morphodynamic modeling: 3D results
Topography at end of flood event
3D Model Measured
Morphodynamic modeling: 2D results
Topography at end of flood event
2D Model Measured
Process not in model: measured data
Courtesy of Scott Wright and Matt Kaplinski
Erosion
No change
Deposition
Difference between surveys on the rising limb of the flood
March 2 17:00
Process not in model: measured data
March 5 12:00March 5 17:00Elevation (m) Slope (degree)
Process not in model: modeled data
Elevation (m) Slope (degree)
March 10 02:00
Conclusions:
• 2D and 3D models produce well calibrated flow solutions• 2D and 3D morphodynamic predictions are different• Both over predict deposition in the eddy• Erosional processes such as slumping are not accounted
for by the models
Questions?