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STWAVE

Wave Modelling
by

Øyvind Leikvin

Sual, Panabo and Lamon Bay

28.01.2014

© www.akvaplan.niva.no
STWAVE – main properties
• assumes constant boundary forcings (wind and
waves), and estimates a stationary solution (stead...
STWAVE simulates
• Depth-induced wave refraction and shoaling

• Current-induced wave refraction and shoaling
• Depth-stee...
STWAVE modeling
- Main input data
• Bathymetry
(provided from oceanographic charts and own measurements)

• Wind speed in ...
STWAVE modeling;
Panabo, Sual and Lamon bay

Model setup
• Resolution: 100 * 100 m (nesting also possible, for
‘zooming’)
...
Results, Panabo
• A georeferenced picture/
map may be a placed as
a background for the
model plot
• A wave train and wind
...
Significant wave height, Panabo (Hs)
• Red areas: 0-1 m
• Blue areas: 2 m
(input wave at offshore:
2,1 m)
• Should look at...
Significant wave height (Hs), from different angles

165
deg

180
deg

195
deg
210
deg

28.01.2014

© www.akvaplan.niva.no
The STWAVE model also simulates the
directional spreading of the waves into the bay:

28.01.2014

© www.akvaplan.niva.no
Results, Sual

• Wave Height (Hs)
• A wave train and wind
are set up, entering the
model domain from
offshore, from about
...
Results, Lamon Bay

• Wave Height (Hs)
• A wave train and wind
are set up, entering the
model domain from
offshore, from a...
Why STWAVE :
Finding new aquaculture sites

28.01.2014

© www.akvaplan.niva.no
How to use the wave modeling results:
 Finding new and appropriate areas for aquaculture
– Shelter (wind & waves)
– Depth...
MARAMING
SALAMAT
!
28.01.2014

© www.akvaplan.niva.no
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Modelling wave climate for Aquaculture Parks in the Philippines

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Modelling wave climate for Aquaculture Parks in the Philippines. Three larger bays of the Philippines have been investigated for appropriate locations of aquaculture parks. These locations should have limited wave exposure, so that the aquaculture parks can withstand heavy storms. The STWAVE model has been utilized as a tool to predict the wave height based on historical meteorlogical data in areas where there is no or limited wave data collection.

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Transcript of "Modelling wave climate for Aquaculture Parks in the Philippines"

  1. 1. STWAVE Wave Modelling by Øyvind Leikvin Sual, Panabo and Lamon Bay 28.01.2014 © www.akvaplan.niva.no
  2. 2. STWAVE – main properties • assumes constant boundary forcings (wind and waves), and estimates a stationary solution (steady state) • finite-difference model • is capable of quantitively describing the change in wave parameters (wave height, period, direction and spectral shape) between the offshore and the nearshore 28.01.2014 © www.akvaplan.niva.no
  3. 3. STWAVE simulates • Depth-induced wave refraction and shoaling • Current-induced wave refraction and shoaling • Depth-steepness-induced wave breaking • Diffraction • Wind-wave growth • Wave-wave interaction • Whitecapping • Reflection 28.01.2014 © www.akvaplan.niva.no
  4. 4. STWAVE modeling - Main input data • Bathymetry (provided from oceanographic charts and own measurements) • Wind speed in model domain (Long term wind-data extracted from meteorological measurements from the local area) • Wave height at the ocean boundary (Long term offshore wave data retrieved from www.buoyweather.com, and are extracted from hindcast data from a global WAM wave model) • Wave energy spectrum (default by the model/ defined by user) 28.01.2014 © www.akvaplan.niva.no
  5. 5. STWAVE modeling; Panabo, Sual and Lamon bay Model setup • Resolution: 100 * 100 m (nesting also possible, for ‘zooming’) • Whole bays out to the offshore are covered • Incoming wind and waves from the opening of the bays (offshore) 28.01.2014 © www.akvaplan.niva.no
  6. 6. Results, Panabo • A georeferenced picture/ map may be a placed as a background for the model plot • A wave train and wind have been set up, entering the model domain from offshore (165°). • Typically the whole bay system and the boundary towards the open ocean will be covered 28.01.2014 © www.akvaplan.niva.no
  7. 7. Significant wave height, Panabo (Hs) • Red areas: 0-1 m • Blue areas: 2 m (input wave at offshore: 2,1 m) • Should look at winds and waves from all directions, as well as taking peak periods into account. • Reveals possible places for aquaculture 28.01.2014 © www.akvaplan.niva.no
  8. 8. Significant wave height (Hs), from different angles 165 deg 180 deg 195 deg 210 deg 28.01.2014 © www.akvaplan.niva.no
  9. 9. The STWAVE model also simulates the directional spreading of the waves into the bay: 28.01.2014 © www.akvaplan.niva.no
  10. 10. Results, Sual • Wave Height (Hs) • A wave train and wind are set up, entering the model domain from offshore, from about 320-340°. 28.01.2014 © www.akvaplan.niva.no
  11. 11. Results, Lamon Bay • Wave Height (Hs) • A wave train and wind are set up, entering the model domain from offshore, from about 30-45°. 28.01.2014 © www.akvaplan.niva.no
  12. 12. Why STWAVE : Finding new aquaculture sites 28.01.2014 © www.akvaplan.niva.no
  13. 13. How to use the wave modeling results:  Finding new and appropriate areas for aquaculture – Shelter (wind & waves) – Depth  Exposure classification (wave height)  Choice of – – – – 28.01.2014 cage technology structure design insurance © www.akvaplan.niva.no
  14. 14. MARAMING SALAMAT ! 28.01.2014 © www.akvaplan.niva.no
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