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27-6-2016
Challenge the future
Delft
University of
Technology
Zoetwaterpluim in de Rijn-Maasmond
(3D hydrodynamica)
Pilot ...
2
Sand Motor (ZM) at the Dutch coast
Area of interest: Sand Motor
Mega-nourishment of 21 mln m3
Scale of intervention:
• 2...
3
Aerial photograph 3D view of measured bed levels
Sand Motor – Morphological evolution
4
Motivation – Field campaign MegaPEX
Multi-disciplinary field measurements for 6 weeks – Sept14
Goal: Operational hydrody...
5
Coastal processes around the ZM
Hydrodynamics
• Tidal currents
• Wind- and wave driven
• Fresh river outflow
Waves
• Fro...
6
Boundary conditions
• Tidal conditions
• Fresh river discharges
• Wind
Resolution
• Deeper water: ~300 m
• Sand engine: ...
7
Overlaying various data sources
• AHN
• Aerial images
8
Overlaying various data sources
• AHN
• Aerial
images
9
Overlaying various data sources
• Lidar (kusthoogte)
• AHN
10
D-HYDRO Suite
Benefits using Flexible Mesh compared to Curvilinear
• Optimal resolution where needed
• Optimisation of ...
11
Model results – Surface salinities
12
Validation
• Quantitatively temporal
• In-situ at Hoek van Holland
• Fixed, continuous measurements
• In—situ: 13-hr me...
13
Validation – currents and salinities
Figure 1: Measured and modelled salinity at observation station Hoek van Holland. ...
14
But how do you validate spatial
behaviour?
15
Validation
• Quantitatively temporal
• In-situ at Hoek van Holland
• Fixed, continuous measurements
• In—situ: 13-hr me...
16
Remote Sensing
X-Band radar images every 5 min
• Model validation - fronts
17
Remote Sensing
Satellite image of 25 Jan 2016 11:03
18
Observed at 25 Jan 2016 11:03Computed at 25 Jan 2016 12:00
19
In-situ measurements
17 Oct 2014 7:50
17 Oct 2014 13:50
20
Alongshore Cross-shore
Obs
Comp
Velocities
21
Findings
• Flexible Mesh opens new possibilities
• Tendency to include larger scale domains
• Need for qualitative comp...
22
Work in progress
• Spatial coupling of FM Morphology with aeolian transport model
• Temporal de- / activation of proces...
23
Vragen?
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09 DSD-NL 2016 - D-HYDRO Symposium - Zoetwaterpluim in de Rijn-Maasmond (3D hydrodynamica) - Arjen Luijendijk, Deltares

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09 DSD-NL 2016 - D-HYDRO Symposium - Zoetwaterpluim in de Rijn-Maasmond (3D hydrodynamica) - Arjen Luijendijk, Deltares

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09 DSD-NL 2016 - D-HYDRO Symposium - Zoetwaterpluim in de Rijn-Maasmond (3D hydrodynamica) - Arjen Luijendijk, Deltares

  1. 1. 27-6-2016 Challenge the future Delft University of Technology Zoetwaterpluim in de Rijn-Maasmond (3D hydrodynamica) Pilot applicatie Arjen Luijendijk Niek Waagmeester Freek Scheel Saulo Meirelles
  2. 2. 2 Sand Motor (ZM) at the Dutch coast Area of interest: Sand Motor Mega-nourishment of 21 mln m3 Scale of intervention: • 2 km alongshore • 1 km cross-shore Large signal-to-noise ratio
  3. 3. 3 Aerial photograph 3D view of measured bed levels Sand Motor – Morphological evolution
  4. 4. 4 Motivation – Field campaign MegaPEX Multi-disciplinary field measurements for 6 weeks – Sept14 Goal: Operational hydrodynamic predictions for field measurements Dye experiment Drifters
  5. 5. 5 Coastal processes around the ZM Hydrodynamics • Tidal currents • Wind- and wave driven • Fresh river outflow Waves • From SW and NW Sediments • Sandy shores • Cohesive sediments from river Rotterdam Delft World Forum Curvilinear - Zeedelta model No 3D operational model available covering both river mouth and ZM
  6. 6. 6 Boundary conditions • Tidal conditions • Fresh river discharges • Wind Resolution • Deeper water: ~300 m • Sand engine: ~17 m Numerics • ~110,000 nodes • 20 layers • Requires 4hrs to run 1day on 8 processors 2.6GHz Computational mesh
  7. 7. 7 Overlaying various data sources • AHN • Aerial images
  8. 8. 8 Overlaying various data sources • AHN • Aerial images
  9. 9. 9 Overlaying various data sources • Lidar (kusthoogte) • AHN
  10. 10. 10 D-HYDRO Suite Benefits using Flexible Mesh compared to Curvilinear • Optimal resolution where needed • Optimisation of #grid cells (~50% of curvi grid) • Variable time step • Parallelization (8 is semi-optimal for this simulation) • BMI compliant – communication with other software
  11. 11. 11 Model results – Surface salinities
  12. 12. 12 Validation • Quantitatively temporal • In-situ at Hoek van Holland • Fixed, continuous measurements • In—situ: 13-hr measurements at the Zandmotor • Profiles from a ship
  13. 13. 13 Validation – currents and salinities Figure 1: Measured and modelled salinity at observation station Hoek van Holland. Coloured dots measurements every 10 minutes at 2.5, 4.5 and 9 m depth. Coloured lines indicate model results sigma layers. Measurements have the same colour as the closest model layer. Velocities at Zandmotor Salinities at 3 locations in water column (HvH)
  14. 14. 14 But how do you validate spatial behaviour?
  15. 15. 15 Validation • Quantitatively temporal • In-situ at Hoek van Holland • Fixed, continuous measurements • In—situ: 13-hr measurements at the Zandmotor • Profiles from a ship • Spatial behaviour? Qualitatively by Remote Sensing: • X-Band radar (24/7) • Sentinel 2 images (optical; every 10 days)
  16. 16. 16 Remote Sensing X-Band radar images every 5 min • Model validation - fronts
  17. 17. 17 Remote Sensing Satellite image of 25 Jan 2016 11:03
  18. 18. 18 Observed at 25 Jan 2016 11:03Computed at 25 Jan 2016 12:00
  19. 19. 19 In-situ measurements 17 Oct 2014 7:50 17 Oct 2014 13:50
  20. 20. 20 Alongshore Cross-shore Obs Comp Velocities
  21. 21. 21 Findings • Flexible Mesh opens new possibilities • Tendency to include larger scale domains • Need for qualitative comparisons with RS • Future outlook: • FM can be relatively easy coupled to other programs.
  22. 22. 22 Work in progress • Spatial coupling of FM Morphology with aeolian transport model • Temporal de- / activation of processes Long waves
  23. 23. 23 Vragen?

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