Presentation by Roy van Weerdenburg and Bas van Maren (Deltares, Netherlands), at the Delft3D User Days, during Delft Software Days - Edition 2022. Tuesday, 15 November 2022.
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - VilminDeltares
Presentation by Lauriane Vilmin (Deltares), at the Webinar 3D water quality modelling using Delft3D FM Suite, during Delft Software Days - Edition 2021. Thursday, 9 December 2021.
DSD-INT 2019 New features D-Water Quality in Delft3D FM Suite 2020 and ongoin...Deltares
Presentation by Joost Icke, Deltares, at the Delft3D - User Days (Day 4: Water quality and ecology), during Delft Software Days - Edition 2019. Thursday, 14 November 2019, Delft.
A blind and robust video watermarking scheme in the DT CWT and SVD domainAbhishek Nath
In this paper the advanced method called A blind and robust video watermarking scheme in the DT CWT and SVD domain was proposed in order to protect the copyrights.
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...Dr. Amarjeet Singh
One of the most critical problems in the river
engineering field is scouring, sedimentation and morphology
of a river bed. In this paper, a finite volume method
FORTRAN code is provided and used. The code is able to
model the sedimentation. The flow and sediment were
modeled at the interception of the two channels. It is applied
an experimental model to evaluate the results. Regarding the
numerical model, the effects of geometry parameters such as
proportion of secondary channel to main channel width and
intersection angle and also hydraulic conditionals like
secondary to main channel discharge ratio and inlet flow
Froude number were studied on bed topographical and flow
pattern. The numerical results show that the maximum
height of bed increased to 32 percent as the discharge ratio
reaches to 51 percent, on average. It is observed that the
maximum height of sedimentation decreases by declining in
main channel to secondary channel Froude number ratio. On
the assessment of the channel width, velocity and final bed
height variations have changed by given trend, in all the
ratios. Also, increasing in the intersection angle accompanied
by decreasing in flow velocity variations along the channel.
The pattern of velocity and topographical bed variations are
also constant in any studied angles.
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - VilminDeltares
Presentation by Lauriane Vilmin (Deltares), at the Webinar 3D water quality modelling using Delft3D FM Suite, during Delft Software Days - Edition 2021. Thursday, 9 December 2021.
DSD-INT 2019 New features D-Water Quality in Delft3D FM Suite 2020 and ongoin...Deltares
Presentation by Joost Icke, Deltares, at the Delft3D - User Days (Day 4: Water quality and ecology), during Delft Software Days - Edition 2019. Thursday, 14 November 2019, Delft.
A blind and robust video watermarking scheme in the DT CWT and SVD domainAbhishek Nath
In this paper the advanced method called A blind and robust video watermarking scheme in the DT CWT and SVD domain was proposed in order to protect the copyrights.
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...Dr. Amarjeet Singh
One of the most critical problems in the river
engineering field is scouring, sedimentation and morphology
of a river bed. In this paper, a finite volume method
FORTRAN code is provided and used. The code is able to
model the sedimentation. The flow and sediment were
modeled at the interception of the two channels. It is applied
an experimental model to evaluate the results. Regarding the
numerical model, the effects of geometry parameters such as
proportion of secondary channel to main channel width and
intersection angle and also hydraulic conditionals like
secondary to main channel discharge ratio and inlet flow
Froude number were studied on bed topographical and flow
pattern. The numerical results show that the maximum
height of bed increased to 32 percent as the discharge ratio
reaches to 51 percent, on average. It is observed that the
maximum height of sedimentation decreases by declining in
main channel to secondary channel Froude number ratio. On
the assessment of the channel width, velocity and final bed
height variations have changed by given trend, in all the
ratios. Also, increasing in the intersection angle accompanied
by decreasing in flow velocity variations along the channel.
The pattern of velocity and topographical bed variations are
also constant in any studied angles.
DSD-INT 2018 A Methodology Study for Model Build and Calibration of 2D Hydrod...Deltares
Presentation by Edward Shen, Ove ARUP & Partners, Hong Kong, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2018. Tuesday, 13 November 2018, Delft.
DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Qual...Deltares
Presentation by Hélène Boisgontier, Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
Word Equations sample_ Final HW-5 Word Equation, submitte.docxMARRY7
Word Equations sample_ Final
HW-5 Word Equation, submitted by: Chikashi Sato (ID#12345)
Writing equations using Word – Microsoft Equation
Kinetics
1
dA
k A
dt
(1)
1
2 1 0
k tdB
k B k A e
dt
(2)
2 2 2 1
0 1 0
0
t
k t k t k t k t
B B e e e k A e dt
(3)
Streeter-Phelps Model - The DO sag equation
a d a
x x x
k k k
d ou u u
o
a d
k L
D D e e e
k k
(4)
where
D = dissolved oxygen deficit in river water after exertion of BOD at time t, mg/L.
Do = initial deficit after river and wastewater have mixed, mg/L.
Lo = initial ultimate BOD after river and wastewater have mixed, mg/L.
kd = deoxigenation rate constant, d
-1
.
ka = reaeration rate constant, d
-1
.
t = time of travel of wastewater discharge downstream, d
Point Source Gaussian Dispersion Model
2 2
1 1
( , , 0, ) exp exp
2 2
y z y z
Q y H
C x y H
u
(5)
where
C (x, y, 0, H) = downwind concentration at ground level, g/m
3
Q = emission rate of pollutant, g/s
u = wind speed, m/s
H = effective stack height, m
x, y, and z, = distances in x, y, and z directions, respectively, m
σy, σz (or sy, sz ) = plume standard deviation in y, and z directions, respectively, m
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Word Equations_ Start
Writing equations using Word – Microsoft Equation
Kinetics
(1)
(2)
(3)
Streeter-Phelps Model - The DO sag equation
(4)
where
D = dissolved oxygen deficit in river water after exertion of BOD at time t, mg/L.
Do = initial deficit after river and wastewater have mixed, mg/L.
Lo = initial ultimate BOD after river and wastewater have mixed, mg/L.
kd = deoxigenation rate constant, d-1.
ka = reaeration rate constant, d-1.
t = time of travel of wastewater discharge downstream, d
Point Source Gaussian Dispersion Model
(5)
where
C (x, y, 0, H) = downwind concentration at ground level, g/m3
Q = emission rate of pollutant, g/s
u = wind speed, m/s
H = effective stack height, m
x, y, and z, = distances in x, y, and z directions, respectively, m
σy, σz (or sy, sz ) = plume standard deviation in y, and z directions, respectively, m
HW-5 Word Equation, submitted by:
...
Nel seminario viene descritta una piattaforma informatica integrata, basata su tecnologie GIS, generatori di griglia, simulatori numerici e visualizzatori, finalizzata ad indagare l'impatto sulla qualità delle acque derivante da fonti di inquinamento localizzate e diffuse e a quantificare l'incertezza nell'applicazione dei modelli.
DSD-INT 2017 The unsaturated zone MetaSWAP-package, recent developments - Van...Deltares
Presentation by Paul van Walsum (Wageningen University & Research) at the iMOD International User Day, during Delft Software Days - Edition 2017. Tuesday, 31 October 2017, Delft.
The groundwater is one of leachate generation components in landfills. So, the control of
groundwater level below the base level of landfills is very important for both of decreasing the rate of
leachate generation and minimizing the potential for groundwater contamination. The main aim of this study
is how to control on the pollution problem in landfill site using an improved dewatering system. In this
study, the use of double drainage pipes as a protecting system to control on the pollution in landfill pattern
in case of rising the groundwater level are obtained. Flow patterns for models representing dewatering of
groundwater flow outward landfill site that has geo-membrane liner using the double drainage pipes are
investigated. The double drainage pipes are designed with various parameters for each model. All
investigated models are founded on isotropic soil. Numerical model was used to construct the flow pattern
(flow net) for the models. The solution was presented to study the effect of the depth and the distance
between the single drainage system on the depression of groundwater level as well as the influences of
horizontal and vertical distances between the perforated pipes in double drainage system were achieved.
On Modeling Water Transport in Polymer Electrolyte Membrane Fuel Cell_Crimson...Crimson_Biostatistics
On Modeling Water Transport in Polymer Electrolyte Membrane Fuel Cell by Ahmed Kaffel* in OABB
There is a great need to predict liquid water saturation in porous layers such as gas diffusion layers (GDL) and micro porous layers (MPL) of polymer electrolyte membrane fuel cells (PEMFCs) as this is a key parameter in flooding occurrence which is a limiting factor of PEM fuel cell performance. Several models have been developed in order to study water distribution and migration in micro porous layers. These models require heavy computational efforts and doubt in their applicability to the gas diffusion layer (GDL). Recently Qin & Hassanizadeh [1] developed a new approach based on the reduced continua model for modeling multiphase flow through a stack of thin porous layers.
For more open access journals in Crimson Publishers please click on link: https://crimsonpublishers.com/
For more articles in open access Biostatistics journals please click on link: https://crimsonpublishers.com/oabb/
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDeltares
Presentation by Timo Kroon and Nadine Slootjes (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
Presentation by Sabrina Couvin Rodriguez (Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
More Related Content
Similar to DSD-INT 2022 Fine sediment transport modelling in D-Morphology or D-Water Quality - van Weerdenburg
DSD-INT 2018 A Methodology Study for Model Build and Calibration of 2D Hydrod...Deltares
Presentation by Edward Shen, Ove ARUP & Partners, Hong Kong, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2018. Tuesday, 13 November 2018, Delft.
DSD-INT 2019 Emission and water quality modelling with wflow and D-Water Qual...Deltares
Presentation by Hélène Boisgontier, Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.
Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
Word Equations sample_ Final HW-5 Word Equation, submitte.docxMARRY7
Word Equations sample_ Final
HW-5 Word Equation, submitted by: Chikashi Sato (ID#12345)
Writing equations using Word – Microsoft Equation
Kinetics
1
dA
k A
dt
(1)
1
2 1 0
k tdB
k B k A e
dt
(2)
2 2 2 1
0 1 0
0
t
k t k t k t k t
B B e e e k A e dt
(3)
Streeter-Phelps Model - The DO sag equation
a d a
x x x
k k k
d ou u u
o
a d
k L
D D e e e
k k
(4)
where
D = dissolved oxygen deficit in river water after exertion of BOD at time t, mg/L.
Do = initial deficit after river and wastewater have mixed, mg/L.
Lo = initial ultimate BOD after river and wastewater have mixed, mg/L.
kd = deoxigenation rate constant, d
-1
.
ka = reaeration rate constant, d
-1
.
t = time of travel of wastewater discharge downstream, d
Point Source Gaussian Dispersion Model
2 2
1 1
( , , 0, ) exp exp
2 2
y z y z
Q y H
C x y H
u
(5)
where
C (x, y, 0, H) = downwind concentration at ground level, g/m
3
Q = emission rate of pollutant, g/s
u = wind speed, m/s
H = effective stack height, m
x, y, and z, = distances in x, y, and z directions, respectively, m
σy, σz (or sy, sz ) = plume standard deviation in y, and z directions, respectively, m
Scanned by CamScanner
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Word Equations_ Start
Writing equations using Word – Microsoft Equation
Kinetics
(1)
(2)
(3)
Streeter-Phelps Model - The DO sag equation
(4)
where
D = dissolved oxygen deficit in river water after exertion of BOD at time t, mg/L.
Do = initial deficit after river and wastewater have mixed, mg/L.
Lo = initial ultimate BOD after river and wastewater have mixed, mg/L.
kd = deoxigenation rate constant, d-1.
ka = reaeration rate constant, d-1.
t = time of travel of wastewater discharge downstream, d
Point Source Gaussian Dispersion Model
(5)
where
C (x, y, 0, H) = downwind concentration at ground level, g/m3
Q = emission rate of pollutant, g/s
u = wind speed, m/s
H = effective stack height, m
x, y, and z, = distances in x, y, and z directions, respectively, m
σy, σz (or sy, sz ) = plume standard deviation in y, and z directions, respectively, m
HW-5 Word Equation, submitted by:
...
Nel seminario viene descritta una piattaforma informatica integrata, basata su tecnologie GIS, generatori di griglia, simulatori numerici e visualizzatori, finalizzata ad indagare l'impatto sulla qualità delle acque derivante da fonti di inquinamento localizzate e diffuse e a quantificare l'incertezza nell'applicazione dei modelli.
DSD-INT 2017 The unsaturated zone MetaSWAP-package, recent developments - Van...Deltares
Presentation by Paul van Walsum (Wageningen University & Research) at the iMOD International User Day, during Delft Software Days - Edition 2017. Tuesday, 31 October 2017, Delft.
The groundwater is one of leachate generation components in landfills. So, the control of
groundwater level below the base level of landfills is very important for both of decreasing the rate of
leachate generation and minimizing the potential for groundwater contamination. The main aim of this study
is how to control on the pollution problem in landfill site using an improved dewatering system. In this
study, the use of double drainage pipes as a protecting system to control on the pollution in landfill pattern
in case of rising the groundwater level are obtained. Flow patterns for models representing dewatering of
groundwater flow outward landfill site that has geo-membrane liner using the double drainage pipes are
investigated. The double drainage pipes are designed with various parameters for each model. All
investigated models are founded on isotropic soil. Numerical model was used to construct the flow pattern
(flow net) for the models. The solution was presented to study the effect of the depth and the distance
between the single drainage system on the depression of groundwater level as well as the influences of
horizontal and vertical distances between the perforated pipes in double drainage system were achieved.
On Modeling Water Transport in Polymer Electrolyte Membrane Fuel Cell_Crimson...Crimson_Biostatistics
On Modeling Water Transport in Polymer Electrolyte Membrane Fuel Cell by Ahmed Kaffel* in OABB
There is a great need to predict liquid water saturation in porous layers such as gas diffusion layers (GDL) and micro porous layers (MPL) of polymer electrolyte membrane fuel cells (PEMFCs) as this is a key parameter in flooding occurrence which is a limiting factor of PEM fuel cell performance. Several models have been developed in order to study water distribution and migration in micro porous layers. These models require heavy computational efforts and doubt in their applicability to the gas diffusion layer (GDL). Recently Qin & Hassanizadeh [1] developed a new approach based on the reduced continua model for modeling multiphase flow through a stack of thin porous layers.
For more open access journals in Crimson Publishers please click on link: https://crimsonpublishers.com/
For more articles in open access Biostatistics journals please click on link: https://crimsonpublishers.com/oabb/
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDeltares
Presentation by Timo Kroon and Nadine Slootjes (Deltares, Netherlands) at the Hydrology Suite User Days (Day 3) - Groundwater modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 30 November 2023, Delft.
Presentation by Sabrina Couvin Rodriguez (Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
Presentation by Umit Taner (Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
Presentation by Daan Rooze (Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDeltares
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Presentation by Andrew Warren (Deltares, Netherlands) at the Climate Adaptation Symposium 2023, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 29 November 2023, Delft.
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...Deltares
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DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
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Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
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OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
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Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
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DSD-INT 2022 Fine sediment transport modelling in D-Morphology or D-Water Quality - van Weerdenburg
1. Unifying the formulations and combining the best of both
Roy van Weerdenburg and Bas van Maren
Delft3D User Days 2022
Fine sediment transport modelling in
D-Morphology or D-Water Quality?
2. Fine sediment transport modelling in D-Morphology or D-Water Quality?
Within the Delft3D FM Suite, transport of fine sediment can be computed
within two different modules
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
2
D-Morphology
online coupling
e.g. when modelling mud (or sand-mud)
morphodynamics or when density
coupling is important
D-Water Quality
online and offline (file-based) coupling
e.g. when modelling turbidity and effects
on water quality
e.g. What is the best module to answer the (research) questions?
e.g. What is available from previous projects?
Choose one of the modules based on content and/or practical matters
3. Fine sediment transport modelling in D-Morphology or D-Water Quality?
3
e.g. What is the best module to answer the (research) questions?
e.g. What is available from previous projects?
Choose one of the modules based on content and/or practical matters
What do we need to know before we convert fine sediment transport
models from D-Morphology to D-Water Quality and vice versa?
And what was needed to align these two modules a bit better?
~
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
4. What is actually different between D-Morphology or D-Water Quality?
• D-Water Quality (online coupling) and D-Morphology use the same advection-diffusion solver
(adopted from D-Flow FM module of the Delft3D FM Suite)
• Units!
• Transport formulations are similar, but slightly different
4
In case of a file-based coupling to D-Water Quality,
also the advection-diffusion solver is different
Buffer model (Van Kessel et al., 2011)
As the hydrodynamic model is the same,
vertical mixing and settling are the same
in D-Water Quality and D-Morphology
Differences arise at the water-bed
interface and in the bed
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
5. Differences at the water-bed interface
5
Buffer model (Van Kessel et al., 2011)
Deposition
(no differences)
Fractional deposition towards layer S2:
,
cr,depo
1
i s i i
D w C
= −
( )
,1 ,
1
i s i i
D w C
= −
,2 ,
i s i i
D w C
=
, ,
cr,i
1
i WAQ i WAQ
E M
= −
( )
, , cr,i
i MOR i MOR
E M
= −
,
,
cr,1
i WAQ
i MOR
M
M
=
Resuspension from layer S1 (E1)
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
6. Differences at the water-bed interface
6
Buffer model (Van Kessel et al., 2011)
Resuspension from layer S2 (E2)
1.5
,2, ,2 ,2,
, ,2
1
i WAQ i i WAQ
cr i
E f M
= −
1
,2, ,2 ,2,
, ,2
1
i MOR i i MOR
cr i
E f M
= −
n: user-defined power function for the dimensionless excess bed shear stress
,2 ,2
,2
2 2
(1-n )
i i
i
sand sand
m m
f
d m
= =
In D-Water Quality, the buffer layer has
a fixed thickness and represents a
passive sand layer in which fines
infiltrate.
In D-Morphology, the buffer layer is
dynamic in thickness as the amount of
sand in this layer may vary in time.
,2
,2
i
i
sand mud
m
f
m +
=
Conceptual difference:
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
7. Application in a schematized tidal inlet
7
Set up models with fine sediment transport in D-Morphology
and D-Water Quality (both online and file-based coupling)
• 2DH (depth-averaged)
• Local wind waves (D-Waves coupling)
• One mud fraction (ws = 0.5 mm/s)
• No initial bed sediment; Initial sediment concentration is 1 g/L
• Concentration at offshore boundary is 5 mg/L
We provided a mass of sand in D-Morphology which corresponds to the
thickness of the buffer layer (d2) and switched off sand transport, to
mimic the immobile sand fraction in the buffer layer in D-Water Quality.
→ Compare results from different modules based on the net
result of deposition and resuspension.
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
8. Model results
8
Differences ~5% of total mass
More resuspension from buffer layer in
D-Water Quality, and therefore more
deposition at intertidal area in both layers
D-Morphology D-Water Quality D-Water Quality – D-Morphology
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
9. Model results
9
Differences ~5% of total mass
More resuspension from buffer layer in
D-Water Quality, and therefore more
deposition at intertidal area in both layers
,2 ,2
,2
2 2
(1-n )
i i
i
sand sand
m m
f
d m
= =
,2
,2
i
i
sand mud
m
f
m +
=
D-Morphology D-Water Quality
! Mud fraction in D-Water Quality
increases faster than in D-Morphology
We built a D-Water Quality research version to correct for this conceptual difference
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
10. Model results
10
D-Morphology D-Water Quality D-Water Quality – D-Morphology
Remaining differences ~1% of total mass
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
11. D-Water Quality: Online vs Offline (file based) coupling
11
Same process formulations, but different advection-diffusion solver
Communication at time step level (~ 1 min) in online coupling, every 30 minutes in offline coupling
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
12. D-Water Quality: Online vs Offline (file based) coupling
12
online coupling offline coupling offline - online
∆t = 1 min
Convergence OK:
time step more relevant than different
numerical solver
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
13. Computation times
13
1 year simulation time:
D-Flow FM (Hydrodynamics) 100
D-Flow FM + D-Morphology (one mud and one sand fraction) 130
D-Flow FM + D-Water Quality (online coupling; one mud fraction) 106
D-Water Quality (file-based coupling; one mud fraction) 3
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
14. Key message and outlook
14
Approach in a research project in the Ems-Dollard
estuary:
1. Spin-up period of multiple years for spatially
varying sediment composition in D-Water Quality
(file-based coupling)
2. Continue with modelling morphodynamic effects
of interventions in D-Morphology
Schrijvershof et al. (in prep.)
What do we need to know before we convert fine
sediment transport models from D-Morphology to
D-Water Quality and vice versa?
1. Mind the details in the implementation,
but differences in results are small
2. Significant differences in computation
times!
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?
15. Final remarks
15
Want to know more?
Roy.vanWeerdenburg@deltares.nl
Fine
sediment
transport
modelling
in
D-Morphology
or
D-Water
Quality?