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1
Dano Roelvink
IHE Delft & DELTARES, Netherlands
Adjusting bed slope effects
to improve
beach/dune behaviour
Dano Roelvink
IHE Delft Institute for Water Education & Deltares
2
Contents
• Improving beach and berm behaviour
• Example applications
• Praia de Faro
• La Faute sur Mer
• Houtribdijk
• Coupling with aeolian model Duna
• Long-term application
• Conclusions
3
XBeach modes
• Stationary
• Surfbeat
• Non-
hydrostatic
4
XBeach
• Originally developed for modelling storm impacts on sandy
coasts
• Waves, currents, sediment transport and morphology change
in 1D or 2DH
• Now three modes of application:
• stationary wave model, fast for longer-term evolution;
includes term for longshore transport gradient
• surfbeat mode, resolving variation on scale of wave groups,
infragravity waves
• nonhydrostatic mode, short-wave resolving; also usable for
tsunami propagation
5
Typical behaviour of Atlantic beaches in S &
SW Portugal
Successive observed
profiles at Praia de
Faro, Portugal, over a
two-year period,
collected as part of
the CROP Project
(Almeida et al., 2010)
6
Typical behaviour of XBeach...
Simulated profile evolution
over 4 tidal periods.
sensitivity to Hm0 wave
height, for period Tp= 10 s..
sensitivity to wave period Tp,
for wave height Hm0 = 3 m.
7
Possible solutions
• Detailed, intra-wave approach
• Resolve complex swash processes
• Many processes uncertain and computation very time-
consuming
• Still with many coefficients
• Heuristic approach
• Estimate equilibrium slope of swash zone from
observations: typically steeper for coarser grain size
• Introduce an up-slope term in the swash zone that nudges
the profile toward the desired bermslope
8
Bermslope effect
• Only where H/h>1
b b
BS
bermslope
z z
q q
x x
a
¶ ¶æ ö
= -ç ÷¶ ¶è ø
Simulated ratio of wave
height/water depth ratio H/h
through four tidal cycles; the
darkest red indicates where
H/h>1, the área where the
bermslope effect is applied.
9
No bermslope
10
Bermslope = 0.1
11
Bermslope = 0.2
12
Effect of a longshore gradient
Accreting profile
Eroding profile
13
• A simple approach is helpful in resolving the treatment of steep
beach face
• It can be tuned to existing situations or based on knowledge on
grain size dependence
• The method does not fixate the coastline as in earlier
approaches, but leaves the profile free to accrete or erode
• This makes it a useful model to couple with a dune growth
model
Conclusions
14
New validation against large-scale data Oregon
Large Wave Tank
• Excellent agreement using
new ‘WTI’ settings
• But: slope of swash zone
much steeper in reality
1:7
1:15
15
La Faute sur Mer – large-scale
C.H. Lashley, X. Bertin, D. Roelvink, Coastlab2018
16
La Faute sur Mer – small-scale
C.H. Lashley, X. Bertin, D. Roelvink, Coastlab2018
AfterBefore
17
Houtribdijk, NL
Robert McCall, Marlies van der Lugt
18
New XBeach parameters
Keyword Meaning
bermslopetransport Turn on or off bermslope swash transport model
bermslopebed Turn on or off bermslope swash transport model for bed
load
bermslopesus Turn on or off bermslope swash transport model for
suspended load
bermslope Swash zone slope for (semi-) reflective beaches
bermslopefac Bed slope transport factor for bermslope model
bermslopegamma Wave height - water depth ratio to turn on bermslope
model in surf-beat
bermslopedepth Water depth to turn on on bermslope model in
stationary and nonh
19
Coupling beach and dune
Profile
storm waves
moderate
waves
wind
tsunami H, # waves
vwind, dirwind ,
duration
Hm0, Tp, dirw,
zs, duration
Hm0, Tp, dirw,
zs, duration
20
Coupled model approach
Processes
• Storm erosion and
moderate conditions
• Aeolian transport
and vegetation
growth
Models
• 1D XBeach instationary
or stationary
• 1D Duna model inspired
by Kroy, Herrmann,
Durán a.o.
21
Duna model
Roelvink & Costas (subm.)
• Wind model Kroy et al.
(2002)
• Advection equation sand
with pickup according to
Bowen – implicit scheme
• Adapted critical shear stress
for moisture and slope
• Vegetation growth and
reduced shear stress
because of it
• Armouring
• Morphological updating
• Matlab implementation
Wind
model
With
vegetation
Without
vegetation
22
• 2 yr simulation
• Wind
• Storms
• Moderate
• Random
timeseries per
season
• Realistic
seasonal
variation
• Large
fluctuations, little
net change
Application: Praia de Faro, 2009-2011
Roelvink and Costas (subm)
23
• In 1D simulations, longshore transport gradient can be
included
• Assumption: transport gradient proportional to transport
• Coefficient lsgrad (~ 1 / length scale of transport change)
• Allows profiles to accrete or erode
Longshore transport gradient
( )1 0yb x
y
y
Sz S
p
t x y
S
lsgrad S
y
¶¶ ¶
- + + =
¶ ¶ ¶
¶
=
¶
24
10-year simulation with repeated 2-year cycle
Dune height vs
progradation rate
25
40-year simulation with strong accretion due to
longshore transport gradient
26
• Simple heuristic adjustment in a few cells in swash zone
• Drastically improves behaviour of intertidal beach
• Allows for berm building and dune erosion
• Opens the way for long-term simulations with XBeach only
• Longshore transport gradient allows for structural erosion or
accretion
Conclusions
27
• Re-calibrate testbed including bermslope effect
• Find dependence on grain size (and other factors?)
• Next challenge: reproduce longshore bars!
Next steps
28
Long-term modelling strategies
• Hybrid model approach, e.g.
• Delft3D FM <-> ShorelineS <-> XBeach-Duna

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DSD-INT 2018 Adjusting bed slope effects to improve beach dune behavior - Roelvink

  • 1. 1 Dano Roelvink IHE Delft & DELTARES, Netherlands Adjusting bed slope effects to improve beach/dune behaviour Dano Roelvink IHE Delft Institute for Water Education & Deltares
  • 2. 2 Contents • Improving beach and berm behaviour • Example applications • Praia de Faro • La Faute sur Mer • Houtribdijk • Coupling with aeolian model Duna • Long-term application • Conclusions
  • 3. 3 XBeach modes • Stationary • Surfbeat • Non- hydrostatic
  • 4. 4 XBeach • Originally developed for modelling storm impacts on sandy coasts • Waves, currents, sediment transport and morphology change in 1D or 2DH • Now three modes of application: • stationary wave model, fast for longer-term evolution; includes term for longshore transport gradient • surfbeat mode, resolving variation on scale of wave groups, infragravity waves • nonhydrostatic mode, short-wave resolving; also usable for tsunami propagation
  • 5. 5 Typical behaviour of Atlantic beaches in S & SW Portugal Successive observed profiles at Praia de Faro, Portugal, over a two-year period, collected as part of the CROP Project (Almeida et al., 2010)
  • 6. 6 Typical behaviour of XBeach... Simulated profile evolution over 4 tidal periods. sensitivity to Hm0 wave height, for period Tp= 10 s.. sensitivity to wave period Tp, for wave height Hm0 = 3 m.
  • 7. 7 Possible solutions • Detailed, intra-wave approach • Resolve complex swash processes • Many processes uncertain and computation very time- consuming • Still with many coefficients • Heuristic approach • Estimate equilibrium slope of swash zone from observations: typically steeper for coarser grain size • Introduce an up-slope term in the swash zone that nudges the profile toward the desired bermslope
  • 8. 8 Bermslope effect • Only where H/h>1 b b BS bermslope z z q q x x a ¶ ¶æ ö = -ç ÷¶ ¶è ø Simulated ratio of wave height/water depth ratio H/h through four tidal cycles; the darkest red indicates where H/h>1, the área where the bermslope effect is applied.
  • 12. 12 Effect of a longshore gradient Accreting profile Eroding profile
  • 13. 13 • A simple approach is helpful in resolving the treatment of steep beach face • It can be tuned to existing situations or based on knowledge on grain size dependence • The method does not fixate the coastline as in earlier approaches, but leaves the profile free to accrete or erode • This makes it a useful model to couple with a dune growth model Conclusions
  • 14. 14 New validation against large-scale data Oregon Large Wave Tank • Excellent agreement using new ‘WTI’ settings • But: slope of swash zone much steeper in reality 1:7 1:15
  • 15. 15 La Faute sur Mer – large-scale C.H. Lashley, X. Bertin, D. Roelvink, Coastlab2018
  • 16. 16 La Faute sur Mer – small-scale C.H. Lashley, X. Bertin, D. Roelvink, Coastlab2018 AfterBefore
  • 17. 17 Houtribdijk, NL Robert McCall, Marlies van der Lugt
  • 18. 18 New XBeach parameters Keyword Meaning bermslopetransport Turn on or off bermslope swash transport model bermslopebed Turn on or off bermslope swash transport model for bed load bermslopesus Turn on or off bermslope swash transport model for suspended load bermslope Swash zone slope for (semi-) reflective beaches bermslopefac Bed slope transport factor for bermslope model bermslopegamma Wave height - water depth ratio to turn on bermslope model in surf-beat bermslopedepth Water depth to turn on on bermslope model in stationary and nonh
  • 19. 19 Coupling beach and dune Profile storm waves moderate waves wind tsunami H, # waves vwind, dirwind , duration Hm0, Tp, dirw, zs, duration Hm0, Tp, dirw, zs, duration
  • 20. 20 Coupled model approach Processes • Storm erosion and moderate conditions • Aeolian transport and vegetation growth Models • 1D XBeach instationary or stationary • 1D Duna model inspired by Kroy, Herrmann, Durán a.o.
  • 21. 21 Duna model Roelvink & Costas (subm.) • Wind model Kroy et al. (2002) • Advection equation sand with pickup according to Bowen – implicit scheme • Adapted critical shear stress for moisture and slope • Vegetation growth and reduced shear stress because of it • Armouring • Morphological updating • Matlab implementation Wind model With vegetation Without vegetation
  • 22. 22 • 2 yr simulation • Wind • Storms • Moderate • Random timeseries per season • Realistic seasonal variation • Large fluctuations, little net change Application: Praia de Faro, 2009-2011 Roelvink and Costas (subm)
  • 23. 23 • In 1D simulations, longshore transport gradient can be included • Assumption: transport gradient proportional to transport • Coefficient lsgrad (~ 1 / length scale of transport change) • Allows profiles to accrete or erode Longshore transport gradient ( )1 0yb x y y Sz S p t x y S lsgrad S y ¶¶ ¶ - + + = ¶ ¶ ¶ ¶ = ¶
  • 24. 24 10-year simulation with repeated 2-year cycle Dune height vs progradation rate
  • 25. 25 40-year simulation with strong accretion due to longshore transport gradient
  • 26. 26 • Simple heuristic adjustment in a few cells in swash zone • Drastically improves behaviour of intertidal beach • Allows for berm building and dune erosion • Opens the way for long-term simulations with XBeach only • Longshore transport gradient allows for structural erosion or accretion Conclusions
  • 27. 27 • Re-calibrate testbed including bermslope effect • Find dependence on grain size (and other factors?) • Next challenge: reproduce longshore bars! Next steps
  • 28. 28 Long-term modelling strategies • Hybrid model approach, e.g. • Delft3D FM <-> ShorelineS <-> XBeach-Duna