Title: Case Study for Ruegen Area in Mike21
12D Modeling Exercise in Hydroinformatics
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- Case Study for Ruegen Area (in Mike21)
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- Name YONG,WANG
- Euroaquae 2007/08
2Contents
1. Project description 2. Model setting up and
calibration 3. Gird editing and scenario
analysis 4. Conclusion
31. Project description
- A 2D coastal Hydrodynamic model was built using
Mike21.Ruegen island water had been selected as
the modeling body, the following figure shows the
geographical description of the area in Baltic
sea.
41. Project description
- Task and requirement
- In the past it happened that the island of
Hiddensee fell into 2 parts. This situation is to
be modeled by introducing a channel of 1 meter
depth and 100 meter width at the given location.
The impact of this situation is to be
investigated with respect the discharge at
locations 3 and 4. A qualitative analysis about
sediment transport is to be made by using
particle tracking at the entrance of the old
navigation channel between Bock and Hiddensee.
51. Project description
- Procedures
- 1) Set up the model with original bathymetry
(boundary, wind force). - 2) Calibrate the model using measured data at
Stralsund and Neuendorf gauge station by
different combination of eddy viscosity and bed
resistance. - 3) After calibration, calculate the discharge at
location 3 and 4 as the default data to be used
to compare with the hypothesis scenarios
calculation. - 4) Edit the mesh by building the channel at given
location, calculate the discharge at location 3
and 4 meanwhile release particle at the entrance
of the old navigation channel between Bock and
Hiddensee. - 5) Based on above calculation draw conclusion on
the model calibration and the influence of
splitting the Hiddensee island into two parts.
62. Model setting up and calibration
- 2.1 model set up
- Original bathymetry, boundary condition data and
wind data were given. these data were used to set
up the first model. - Three months hourly data for the boundary, wind
data and measured water level, however due to
time and computation effort it is unrealistic to
run the whole time period simulation every time,
so typical time period like maximum and minimum
water level has to be modeling in order to get a
better representation of the nature.
Boundary Condition
Shorelines
HD Model
Eddy viscosity
Bathymetry
Wind force
72. Model setting up and calibration
- 2.2 statistic analysis for the water levels
- Three month data was analyzed and split up into
three categories
82. Model setting up and calibration
- 2.3 model calibration
- Model calibration was the key procedures for
modeling of water area, the idea is to compare
the model results with the record data at given
locations (Bodden, Ostee and Strasund station
gauge). - The parameter that can be modified are eddy
viscosity and bed resistant. - Our main goal for calibration is to get a better
fit between calculation result and measured data. - At least 5 calculations to be taken with two eddy
viscosity and two bed frictions. - 1st Default viscosity and bed resistant, 2nd
Default viscosity and smaller bed resistant, 3rd
Default viscosity and larger bed resistant
92. Model setting up and calibration
- 1st run results (default eddy viscosity and bed
friction)
102. Model setting up and calibration
- 1st run results (default eddy viscosity and bed
friction) - From these three figures we can see that, the
model gives more or less reasonable results, with
the same pattern as the observed water level at
three different gauging stations. But the peak
values of the model results are less than the
actual ones, for each gauging station. And the
non-peak values of the model result are bigger
than the actual values. - The next step is to change the parameters of the
model to get nearer results as the observed ones
as possible.
112. Model setting up and calibration
- 2nd run results (default viscosity and larger
friction)
122. Model setting up and calibration
- 2nd run results (default viscosity and larger
friction) - This combination of the model parameter gives a
little better result but not differ much as the
first two runs. Without eddy viscosity the whole
water level shifts to the right a certain time. - The model acts as some kind of average the water
level in the whole time domain. Another reason
might be the manually change in the mesh file we
delete all the bathymetry larger than 5 meter. - 3rd run (default viscosity and smaller friction)
- 4th run (smaller viscosity and default friction)
- 5th run (larger viscosity and default friction)
- Results not be present here, they looks very
similar to each other
132. Model setting up and calibration
Does this graph looks better?
142. Model setting up and calibration
- Total period simulation!
- The figure is the model results and gauging
station record comparison from the figure we can
see that the full-time simulation does not get
better result than the smaller time simulation.
(Visually, the figures give a better model
results, but actually, it looks better only
because we plot a long time series not because
the results itself became better) This indicates
the problem is not at the simulation time. -
- So the not fitting with measured data is probably
due to the not well representative mesh. (Cutting
the bathymetry to 5m)
152. Model setting up and calibration
- Conclusion for calibration
- After many calculations, a conclusion can be
drawn that, for this case by averaging the
bathymetry, it is difficult to get awell
calibrated model due to the incorrect
representation of the mesh. - However, experiences about how bed friction
and eddy viscosity influence the system were
obtained. if high bed friction number is used in
the model, it will smooth the calculation result.
- Eddy viscosity act as the phase shift of the
calculation results (but its affect is not as
sensitive as bed friction)
163. Gird editing and scenario analysis
- 3.1 calculate discharge and particle tracking
before modify the gird (prepare for compare the
effects)
Accumulated discharge !
173. Gird editing and scenario analysis
- 3.1 particle tracking before modify the gird
(prepare for compare the effects)
183. Gird editing and scenario analysis
- 3.1 particle tracking before modify the gird
193. Gird editing and scenario analysis
- 3.2 Gird editing
- A channel of 100 meter width was built in
Hiddensee
203. Gird editing and scenario analysis
- 3.2 calculation result after grid editing
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213. Gird editing and scenario analysis
- 3.2 calculation result after grid editing
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223. Gird editing and scenario analysis
- 3.2 calculation result after grid editing
- Form these three discharge figures we can see
that, the splitting of Hiddensee has some
influence on water discharge at section 2 and 3,
when the Hiddensee island fall into two parts,
the water discharge at section 2 and 3 become
smaller than the situation without changing. - This is what can be understandable and expected
to happen. Also, part of the water flow through
the opening channel, this result into the water
volume decrease at nearby location. This can also
be seen from the vectors of the calculation
indication the water flow direction. However, it
does not affect section4 so much this may
probably due to it is far away from the small
channel.
233. Gird editing and scenario analysis
- 3.2 calculation result after grid editing
(particle tracking)
244. Conclusion
- Setting up and analysis of Mike21 Hydrodynamic
module and particle tracking module. - Tackle with the limitation of number of nodes and
elements in 2D modeling. - In the calibration step, high friction smooths
the calculation results, eddy viscosity shift the
water level phase. - Due to poor representation of the bathymetry
(limitation on element number), good calibration
results can not be reached only by changing the
bed friction and eddy viscosity. - After cutting off the Hiddensee Island, water
discharge at section 2 and 3 was influenced and
decreased the volume of discharge, section3 had
not much change as before. - Sediment transport was slightly affected by the
Hiddensee cutting off.
25Thanks! QA