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CALIBRATION OF A SANDUSKY RIVER HYDRODYNAMIC MODEL

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Figure 4. St John's Dam, A week before removal, Nov 10th, 2003 ... St. John's dam, 46 meter long and 2.2 meter high, was located on Sandusky River ... – PowerPoint PPT presentation

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Title: CALIBRATION OF A SANDUSKY RIVER HYDRODYNAMIC MODEL


1
Monitoring Sediment Transport and Geomorphology
Change Associated with Dam Removal Fang Cheng,
Timothy Granata Department of Civil and
Environmental Engineering and Geodetic Science,
The Ohio State University
Introduction Sediment released after dam removal
can cause significant changes in river
morphology, flow, aquatic habitats and even in
river ecosystem processes both downstream and
upstream. However, quantitative study of sediment
transport associated with dam removal is
surprisingly insufficient. Knowing the dynamics
of sediment transport in reservoirs is the key to
understanding the influences of dam removal on
river ecosystems.
  • Immediately after dam removal, reservoir was
    dewatered and water depth drop about 1m (Figure
    13-14), while downstream water level rose 0.6m.
  • As we expected, downstream water turbidity
    suddenly increased 3 times within the first two
    hours after the removal and hit the peak 3 hours
    later (Figure 15).
  • The base level of turbidity increased 15 after
    the dam was removed. The other peak as shown in
    Figure 15 on Nov. 21st was because of a small
    rain storm. Compared with the rainfall event,
    dam removal seems did not have significant
    short-term influence on downstream suspended
    sediment concentration.
  • The pebble count method (Wolman, 1954) was
    employed for cross sections with coarse materials
    (diametergt128mm).
  • Bedload traps were installed at downstream and
    upstream to measure bedload transport rates
    (Figure 8).
  • Objectives
  • Quantitatively monitor geomorphologic change in
    river channel associated with dam removal
  • Quantify bed load transport rate caused by dam
    removal
  • Develop a numerical model to simulate graded
    sediment transport
  • Time series of turbidity were measured at two
    locations, one at the west bank 100 meter
    upstream and the other one at the west bank 200
    meter downstream from the dam using YSI 6600
    Sonde sensors
  • Mean velocity was measured in shallow (lt 0.6 m)
    depths using a handheld Sontek FlowTracker ADV
  • In deeper areas (depth gt0.6 m) a BT-ADP (3 MHz)
    was used (Figure 9).

Site Description Sandusky River (Figure 1, 2),
drainage area of 3637 km2, flows north into
Sandusky Bay at Lake Erie. St. Johns dam, 46
meter long and 2.2 meter high, was located on
Sandusky River at river mile 50.
Preliminary Results Processed cross sections are
plotted as in Figure 10. The Purple dots are GPS
points surveyed on Nov. 11th, 2003, a week before
the dam was removed, and the green dots are GPS
points surveyed on Apr. 23rd, 2004. The river
bed surface is generated by creating TIN and
Kriging interpolation.
  • Downstream and upstream water turbidity were
    measured from March 17, 2003 to March 28, 2003.
    (Figure 16).
  • Notching the dam did not have influence on
    short-term turbidity.

  • As we expected, reservoir water turbidity was
    lower than downstream turbidity within the first
    three days after complete notching west side of
    the dam. However, this relation dramatically
    changed three days later when a small rainfall
    event occurred.
  • After a small rain storm, reservoir suspended
    sediment concentration increased faster than
    downstream and became 60 higher than downstream
    on the 5th day.

Figure 10 River bed surface at downstream 75m
from the dam
  • Reservoir Length 10km, slope0.01
  • Reservoir impoundment 0.59 km2, and the storage
    is 561, 234 m3
  • The sediment accumulated in the reservoir is
    composed of gravel, cobble, and sand
  • On March 18th, 2003, the west side breach was
    notched down to the bed (Figure 3,4)
  • Dam was removed on Nov. 17th, 2003 (Figure 5-6)
  • Simulation
  • Sediment transport models, Van Rijn, and Meyer
    Peter and Muller, will be used to calculate bed
    load and suspended load.
  • These models will be compared for the event of
    St. John's dam removal using software MIKE 11
    (see right figure).
  • A two-fraction model will be applied to calculate
    bed load as a comparison of the MIKE 11
    simulation results.
  • The two-fraction model, sand and gravel,
    considers sand and gravel as a mixture instead of
    individual and predicts more accurate results.

Dam Breach Mar., 03
Figure 11 River bed surface change at downstream
75m from the dam
Figure 11 River bed surface change at downstream
75m from the dam
  • Conclusion
  • Study sediment transport of St. John's dam
    removal helps us to fully understand how river
    channel response for disturbance.
  • The elevation change at 75m downstream from the
    dam was calculated by differentiate the averaged
    elevation within 1 meter grid (Figure 11).
  • The maximum, minimum elevation change is 0.155m,
    and -0.23m, respectively.
  • The mean elevation change is -0.02m, and standard
    deviation is 0.1m
  • It indicates elevation did not have significant
    change at 75m downstream of the dam within the
    half year.

Dam Removal Nov., 03
  • Detailed pre- and post-dam monitoring is
    necessary to determine the geomorphologic changes
    in river channel, and the consequential effects
    on river ecosystem.
  • Quantitatively monitoring changes in river-bed
    elevation and sediment distribution provides
    foundation for numerical modeling channel
    response to dam removal.

Future Work River cross sections will be
surveyed at least twice at downstream and
upstream to avoid survey error. Bed load and
suspended load will be measured at the same
locations for comparison. Same survey will be
repeated at same sites after dam removal. Some
empirical sediment transport model will be
compared , and we will develop a new numerical
model to simulate dam removal event.
  • Methodology
  • Transects were each surveyed at the reservoir,
    and 75 meters, 545 meters and 3km downstream from
    the dam.
  • Each series of transects has at least five cross
    sections with about two meters apart. This
    provided a baseline for the changes caused by dam
    removal.
  • Elevation data were collected at 1Hz using a
    Trimble 5700 Receiver (Figure 7)
  • Changes in river channel width and elevation
    resulting from dam removal is determined by
    differencing data of pre- and post- removal.
  • For each series of cross sections, bed material
    distributions at the surface were collected using
    bulk sampling approach.
  • Downstream and upstream surface sediment size
    distribution are plotted in the figure above.
  • We can see that the D50 of downstream bed
    material is 1.2mm, 29mm, 50mm, 70mm and 82mm at
    stations of 24 km, 12.5 km upstream from the dam
    and 75 m, 545 m and 3 km downstream from the dam.
  • It is interesting to notice the surface material
    size coarsening pattern. Most previous studies
    had shown downstream fining pattern.
  • At least 60 of the transported particles are
    smaller than 2mm, which indicates that fine sands
    are mostly entrained rather than gravels.

Reference Ferguson, R.T., and C. Paola, 1997,
Bias and precision of percentiles of bulk grain
size distributions, Earth Surface Processes and
Landforms, 22 1061-1077 Wolman, M.G., 1954, A
method of sampling coarse river-bed material, EOS
Trans. AGU, 35(6) 951-956 Wilcock, P.R., and
Kenworthy, S.T., 2002, A two-fraction model for
the transport of sand/gravel mixtures, Water
Resources Research, 38(10) 1194-1205
Acknowledgements We thank Matthew Nechvatal,
Dan Gillenwater, Bryan Arvai, and Lauren Glockner
at OSU and Ryan Murphy and Constance Livchak at
the ODNR Lake Erie Geology Group for helping
field work. We also appreciate Yudan Yi for
helping GPS data processing.
Figure 7. Surveying with Trimble 5700 receiver
  • The size distribution of transported sediments at
    station 75m and 200m downstream and 12.5 km
    upstream was plotted in the figure above.


For questions, please contact Fang Cheng,
cheng.206_at_osu.edu
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