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Opportunities for next generation river modelling
Herman Kernkamp
Delft Software Days, 05-10-2015
Transport, recreation
Beautiful Dangerous Dirty
Protect land, Manage the flow
Transport heat
Not only 2D
Scale, Predicatabilty, Meteo, Groundwater
Sobek1D-2D
8
Waqua
Triwaq
Delft-3D
9
DFM : Curvilinear + occasional triangle
10
Very small cells in winterbed
Aligned summerbed
Opportunities of the Flexible Mesh
Geometry : define flow area Au
  0u
u u u
u upwind u
A uV
t x
A W h
h b

 
 

 
uW
How define bedlevel at u-point ?
ub
(Trick of Guus saves the day)
Bedlevel defined by cell center or by cell cornerub
max( , )u L Rb b b
ubupw
Xbeach, Sobek1D2D Delft3D, DFM
Tile Netnode
Tested in channels with dx = 23 km to 180 m
Spatial convergence cell centre bathy.
Spatial convergence netnode bathy.
Dambreak test grids
18
Works fine on various grids IF no shear in flow
19
3D sigma
Poiseulle testcase: strong shear
20
Strong shear, aligned grid, local refinement
21
Strong shear, non-aligned triangles, no adv.
22
Advection works bad on non-aligned grids
23
Cure : Higher order cell velocity reconstruction
Mart, Frank implicit reconstruction yet to implemented in DFM
Mohamed, explicit reconstruction already showed promising results,
both for improving horizontal eddy viscosity terms and advection
terms, but.. sometimes it fails
Staircase : Conveyance = 80 percent of curvi
Cutcell : Conveyance = 100 percent of curvi
Cutcell: Approaching wall 1/3
Approaching wall not felt in cell 1 and 2
Sudden direction change in cell 3
Introduces advection losses
Approaching wall bij reduced flow area
Aligned cell center advection velocities
Smooth flow parallel to wall
1 2 3
Momentum conservation: Carnot losses
1 2 3
 
 
 
2 2
1 3 1 1 3 3 3 3
1 1 3 3
3 1 3 1 3
2 2 2
1 3
1 3
1 3
2
1 3
U U
U U
U U U
1
(U U )
2
U U
U U
2
1
(U )
2
Mom
Bern
Bern
Bern Mom
p A A p A A
A A
p p p
p
p
p p p U
 




  

    
  

  
       
Momentum 2-3 :
Bernoulli 2-3 :
Carnot loss 2-3 :
Reversed flow ; loss from 2 to 3 is equal to gain from 3 to 2
Flow from right to left, sudden expansions
Flow from right to left, sudden expansions
Flow from left to right, sudden contractions
Unphysical result, error in pressure assumption at position 2
better apply energy conservation in sudden contraction
Bed form in rivers
200 m
Smooth bed forms and numerical diffusion
No friction, smooth bed form => no setup
25 m
0.3 m
4 m
10 november 2015
Untrim
Effect of the grid resolution for advection scheme A
(semi-Lagrangian):
10 november 2015
Telemac
Effect of the grid resolution for advection scheme B
(semi-Lagrangian):
10 november 2015
DFM
Effect of the grid resolution for advection scheme D
(“momentum-conservative, 2nd order accurate”):
Mesoscale horizontal flow-field modelling at a channel-river-junction
Hydraulic Engineering · W2 · R. Patzwahl, F. Platzek, J.A. Jankowski · 6th november 2013Page
Mesoscale horizontal flow-field modelling at a channel-river-junction
Hydraulic Engineering · W2 · R. Patzwahl, F. Platzek, J.A. Jankowski · 6th november 2013
SCALE MODEL
4 km of river stretch = 67 m of model length
Length Scaling: 1:60
Height Scaling: 1:30
Stationary discharge conditions, non-movable gravel bed
Page
Labor
D-Flow FM
Natur
Kam Tin Drainage channel
peak flows ~ 6 m/s
40
Subgrid : sloping bed
Continuous wet area => more gradual drying&flooding
41
classic
DFM
Subgrid: Analytic Conveyance approach
2
( )
( )
h(y)
C (y
R
)
U C Ri
Q AC R i K i
g
C
f
R
y
g
Uu
yU
u
j

 




iy
1iy 
42
Spatial convergence of subgrid approach
,470
,475
,480
,485
,490
,495
,500
,505
,510
,515
0 10 20 30 40 50 60
standard
2D conv
Flooding
Discharge
Capacity
m3/s
Nr of cells in cross-sectional direction.
3, 6, 12, 24 or 48 cells
43
So far:
Tile depth approach in D3D morphology (Bedlevtype = 6)
Flat bed at u-point,
Level : max level of adjacent cells
Netnode depth approach in D3D Wave coupling (Bedlevtype = 3)
Sloping bed at u point
Level : max level of adjacent cells
Hydraulic radius R = A/P (Conveyance2D = 1)
No implementation of sloping bed at u-point in 3D yet
So: if 2D and 3D should match, use
(Bedlevtype = 3)
(Conveyance2D = -1)
in both models.
Warning: default advection is still not o.k. icw sloping bed on velocity point and
no bed friction.
Singapore rainfall runoff: Non-linear volumes
45
Subgrid 2: non-linear volumes
 
 
 
1 1
1 1
1
0
p
p p p p
p p p p p
p p p p n
u u
out in
V
V V
V V A
V A V
A u A u
t


 

 
 
 
 


  

  
  
  

 
Thin water layer : Non – linear volume
Thick water layer : linear volume
46
Singapore rainfall runoff: Linear volumes
47
Singapore rainfall runoff: Non-linear volumes
48
Subgrid 3 : Flow over weir
Free weir discharge Qf : Everyone agrees
50
1 2
2 2 2
1 2
1 1 2 2 2
22 2 2
u u q
E
g g g
  

     
2
0
q




1 1
2 1
2
3 3
fq E g E
Everyone agrees: Maximum free weir discharge =2 1
2
3
E at
Waterlevels relative to crestlevel
Submerged weir discharge Qs : No one agrees
51
1) Villemonte (1947)
2 1
3 3 3
2
1s fq q S
 
  
 
2) Rajaratnam&Muralidhar (1969), (Bernoulli, 2 3h h ) 3 1 32 ( )sq h g E h  , or
3 3
(1 )
2
s fq q S S 
3) Varshni&Mohanty (1973), (0.03<S<1) 2
1.03 0.027 0.059s fq q S S   
4) Lakshmana Rao (1975) s fq q 
5) Abou-Seida and Quraishi (1976), (short crest)
1
1 1
2
s fq q S S
 
   
 
6) Wu and Rajaratnam (1996), (S<0.95)  1
1 1.162 1.33sin ( )s fq q S S
  
7) Tabellenboek fit (p = 20) (1 )p
s fq q S 
8) Borghei (2003)
B B
0.701-0.121 2.229 1.663
L L
s fq q S
    
      
    
Submerged discharge curve Qs/Qf vs S
52
Tabellenboek data
Analytic semi subgrid weir model:
54
Contraction Expansion
Energy conservation Momentum conservation
 
2 2
1
1
2 2
1
2 2
1
2
u
u u
g g
adv u u
x
   
 

1 1,u ,u u
1 1 2
2
max( ,min( , ) b)
3
uh E   
2 2,u
b
Qfree/Qsub – Submergence aligned grid
45 degree
Flow width at weir u point
57
 u ulink weirW W n n
Sum of all weir links is equal to weir length
Qfree/Qsub – Submergence 45 deg grid
Width of default scheme
Velocity points involved in limited higher order
 
 
( ) ( )
1
1 ( ) ( )
1
out
inL outL
u
in out
inR outR
u L R
in u Q u u
V
Q u u Q u u
V V V
Q u

 
  
     
   
 
         
  
 
 
59
Many groyns and weirs in polygons x,y,z
Not always aligned in grid
Nijmegen quay
Some lines can do without weirscheme
Fixed weir treshold, e.g 0.5 m
Staircases
Aligned (high flow velocities next to quay)
Nijmegen quay bathymetry
DFM WAQUA
Take care interpolating bathymetry
Again geometry: Ks D3D style or Waqua style
12
18log
s
R
C
k
 
  
 
0
ln
g h
C
ez
 
  
 
‘gemiddeld tussen cirkel en breed kanaal’
Formule 13.15 in Vloeistofmechanica
WAQUA Style => Dykes can be lower
Spiral flow:
0
0,01
0,02
0,03
0,04
0,05
0,06
0,07
0,08
0,09
0,1
1 2 3 4 5 6 7 8 9 10 11 12
Spiral Intensity 1/s
Spiral…
Willem and Mohamed: Spiral Flow on unstructured net
Well under way: Influence on Morphology
Or: use 3D,
2, 3, 4, 5, 7,10,15,20 30 layers
0
5
10
15
20
25
0 5 10 15
cpu/cpu2D
cpu/cpu2D
Kmx = 2, cpu = 3*cpu2D
Kmx=30, cpu = 20*cpu2D
( Check weirs in 3D )
Herwijnen Pannerden
DFM A : 8 in summerbed , total 23000
DFM B : 16 in summerbed, total 59000
DFM C : 32 in summerbed, total 190000
Waqua : 13-14 in summerbed, total 122000
Grid convergence
Rooster Observatie DFM A DFM B DFM C DFM op
WAQUA rooster
Pannerdensekop 14.48 14.56 14.42 14.41 14.45
Nijmegen 12.30 12.47 12.33 12.33 12.34
Tiel 9.33 9.14 9.07 9.07 8.98
Zaltbommel 6.43 6.32 6.25 6.24 6.22
waterlevels
Computation times
DFM A DFM B DFM C DFM op
WAQUA
rooster
Aantal actieve
punten ()
22881 59331 187955 122328
Aantal
tijdstappen ()
8674 15161 35010 23826
Rekentijd (s) 228 959 8560 4243
Gemiddelde
tijdstap (s)
29.9 17.1 7.4 10.9
Tabel 3: Rekentijden voor 72 uur simulatie op Elitebook 8570w
Semi subgrid – tabellenboek, DFM A
Pannerdensekop +4 cm
Nijmegen +1 cm
Tiel +2 cm
Zaltbommel +2 cm
Discussion:
DFM makes it easier to refine some area and assess local modifications
DFM is still a lot slower than WAQUA , so how fine can the network be?
Can part of the network be 1D?
Does winterbed need same resolution as summerbed?
Spiral flow icw 2D or 3D instead? (Check subgrid weirs in 3D)
Trachytopen/Baptist/3D vegetation in winterbed ?
Bedform / roughness estimators in summerbed?
Hles? Settings for Regina’s problem? Higher order adv. in 3D problem!
Coupling to groundwater?
Non-linear volumes for dynamic high water simulation?
Is this true?
Summerbed friction is a certainty because of extensive land use
classification
== >
Winterbed is the only location where calibration is allowed.
Groundwater in DFM

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DSD-INT 2015 - Opportunities for next generation river modelling - Herman Kernkamp

  • 1. Opportunities for next generation river modelling Herman Kernkamp Delft Software Days, 05-10-2015
  • 10. DFM : Curvilinear + occasional triangle 10
  • 11. Very small cells in winterbed Aligned summerbed
  • 12. Opportunities of the Flexible Mesh
  • 13. Geometry : define flow area Au   0u u u u u upwind u A uV t x A W h h b         uW How define bedlevel at u-point ? ub (Trick of Guus saves the day)
  • 14. Bedlevel defined by cell center or by cell cornerub max( , )u L Rb b b ubupw Xbeach, Sobek1D2D Delft3D, DFM Tile Netnode
  • 15. Tested in channels with dx = 23 km to 180 m
  • 16. Spatial convergence cell centre bathy.
  • 19. Works fine on various grids IF no shear in flow 19 3D sigma
  • 21. Strong shear, aligned grid, local refinement 21
  • 22. Strong shear, non-aligned triangles, no adv. 22
  • 23. Advection works bad on non-aligned grids 23
  • 24. Cure : Higher order cell velocity reconstruction Mart, Frank implicit reconstruction yet to implemented in DFM Mohamed, explicit reconstruction already showed promising results, both for improving horizontal eddy viscosity terms and advection terms, but.. sometimes it fails
  • 25. Staircase : Conveyance = 80 percent of curvi
  • 26. Cutcell : Conveyance = 100 percent of curvi
  • 27. Cutcell: Approaching wall 1/3 Approaching wall not felt in cell 1 and 2 Sudden direction change in cell 3 Introduces advection losses Approaching wall bij reduced flow area Aligned cell center advection velocities Smooth flow parallel to wall 1 2 3
  • 28. Momentum conservation: Carnot losses 1 2 3       2 2 1 3 1 1 3 3 3 3 1 1 3 3 3 1 3 1 3 2 2 2 1 3 1 3 1 3 2 1 3 U U U U U U U 1 (U U ) 2 U U U U 2 1 (U ) 2 Mom Bern Bern Bern Mom p A A p A A A A p p p p p p p p U                               Momentum 2-3 : Bernoulli 2-3 : Carnot loss 2-3 : Reversed flow ; loss from 2 to 3 is equal to gain from 3 to 2
  • 29. Flow from right to left, sudden expansions
  • 30. Flow from right to left, sudden expansions
  • 31. Flow from left to right, sudden contractions Unphysical result, error in pressure assumption at position 2 better apply energy conservation in sudden contraction
  • 32. Bed form in rivers 200 m
  • 33. Smooth bed forms and numerical diffusion No friction, smooth bed form => no setup 25 m 0.3 m 4 m
  • 34. 10 november 2015 Untrim Effect of the grid resolution for advection scheme A (semi-Lagrangian):
  • 35. 10 november 2015 Telemac Effect of the grid resolution for advection scheme B (semi-Lagrangian):
  • 36. 10 november 2015 DFM Effect of the grid resolution for advection scheme D (“momentum-conservative, 2nd order accurate”):
  • 37. Mesoscale horizontal flow-field modelling at a channel-river-junction Hydraulic Engineering · W2 · R. Patzwahl, F. Platzek, J.A. Jankowski · 6th november 2013Page
  • 38. Mesoscale horizontal flow-field modelling at a channel-river-junction Hydraulic Engineering · W2 · R. Patzwahl, F. Platzek, J.A. Jankowski · 6th november 2013 SCALE MODEL 4 km of river stretch = 67 m of model length Length Scaling: 1:60 Height Scaling: 1:30 Stationary discharge conditions, non-movable gravel bed Page
  • 40. Kam Tin Drainage channel peak flows ~ 6 m/s 40 Subgrid : sloping bed
  • 41. Continuous wet area => more gradual drying&flooding 41 classic DFM
  • 42. Subgrid: Analytic Conveyance approach 2 ( ) ( ) h(y) C (y R ) U C Ri Q AC R i K i g C f R y g Uu yU u j        iy 1iy  42
  • 43. Spatial convergence of subgrid approach ,470 ,475 ,480 ,485 ,490 ,495 ,500 ,505 ,510 ,515 0 10 20 30 40 50 60 standard 2D conv Flooding Discharge Capacity m3/s Nr of cells in cross-sectional direction. 3, 6, 12, 24 or 48 cells 43
  • 44. So far: Tile depth approach in D3D morphology (Bedlevtype = 6) Flat bed at u-point, Level : max level of adjacent cells Netnode depth approach in D3D Wave coupling (Bedlevtype = 3) Sloping bed at u point Level : max level of adjacent cells Hydraulic radius R = A/P (Conveyance2D = 1) No implementation of sloping bed at u-point in 3D yet So: if 2D and 3D should match, use (Bedlevtype = 3) (Conveyance2D = -1) in both models. Warning: default advection is still not o.k. icw sloping bed on velocity point and no bed friction.
  • 45. Singapore rainfall runoff: Non-linear volumes 45
  • 46. Subgrid 2: non-linear volumes       1 1 1 1 1 0 p p p p p p p p p p p p p p n u u out in V V V V V A V A V A u A u t                                Thin water layer : Non – linear volume Thick water layer : linear volume 46
  • 47. Singapore rainfall runoff: Linear volumes 47
  • 48. Singapore rainfall runoff: Non-linear volumes 48
  • 49. Subgrid 3 : Flow over weir
  • 50. Free weir discharge Qf : Everyone agrees 50 1 2 2 2 2 1 2 1 1 2 2 2 22 2 2 u u q E g g g           2 0 q     1 1 2 1 2 3 3 fq E g E Everyone agrees: Maximum free weir discharge =2 1 2 3 E at Waterlevels relative to crestlevel
  • 51. Submerged weir discharge Qs : No one agrees 51 1) Villemonte (1947) 2 1 3 3 3 2 1s fq q S        2) Rajaratnam&Muralidhar (1969), (Bernoulli, 2 3h h ) 3 1 32 ( )sq h g E h  , or 3 3 (1 ) 2 s fq q S S  3) Varshni&Mohanty (1973), (0.03<S<1) 2 1.03 0.027 0.059s fq q S S    4) Lakshmana Rao (1975) s fq q  5) Abou-Seida and Quraishi (1976), (short crest) 1 1 1 2 s fq q S S         6) Wu and Rajaratnam (1996), (S<0.95)  1 1 1.162 1.33sin ( )s fq q S S    7) Tabellenboek fit (p = 20) (1 )p s fq q S  8) Borghei (2003) B B 0.701-0.121 2.229 1.663 L L s fq q S                 
  • 52. Submerged discharge curve Qs/Qf vs S 52
  • 54. Analytic semi subgrid weir model: 54 Contraction Expansion Energy conservation Momentum conservation   2 2 1 1 2 2 1 2 2 1 2 u u u g g adv u u x        1 1,u ,u u 1 1 2 2 max( ,min( , ) b) 3 uh E    2 2,u b
  • 57. Flow width at weir u point 57  u ulink weirW W n n Sum of all weir links is equal to weir length
  • 59. Width of default scheme Velocity points involved in limited higher order     ( ) ( ) 1 1 ( ) ( ) 1 out inL outL u in out inR outR u L R in u Q u u V Q u u Q u u V V V Q u                                    59
  • 60. Many groyns and weirs in polygons x,y,z
  • 63. Some lines can do without weirscheme Fixed weir treshold, e.g 0.5 m
  • 65. Aligned (high flow velocities next to quay)
  • 68. Again geometry: Ks D3D style or Waqua style 12 18log s R C k        0 ln g h C ez        ‘gemiddeld tussen cirkel en breed kanaal’ Formule 13.15 in Vloeistofmechanica WAQUA Style => Dykes can be lower
  • 69. Spiral flow: 0 0,01 0,02 0,03 0,04 0,05 0,06 0,07 0,08 0,09 0,1 1 2 3 4 5 6 7 8 9 10 11 12 Spiral Intensity 1/s Spiral… Willem and Mohamed: Spiral Flow on unstructured net Well under way: Influence on Morphology Or: use 3D, 2, 3, 4, 5, 7,10,15,20 30 layers 0 5 10 15 20 25 0 5 10 15 cpu/cpu2D cpu/cpu2D Kmx = 2, cpu = 3*cpu2D Kmx=30, cpu = 20*cpu2D ( Check weirs in 3D )
  • 71. DFM A : 8 in summerbed , total 23000
  • 72. DFM B : 16 in summerbed, total 59000
  • 73. DFM C : 32 in summerbed, total 190000
  • 74. Waqua : 13-14 in summerbed, total 122000
  • 75. Grid convergence Rooster Observatie DFM A DFM B DFM C DFM op WAQUA rooster Pannerdensekop 14.48 14.56 14.42 14.41 14.45 Nijmegen 12.30 12.47 12.33 12.33 12.34 Tiel 9.33 9.14 9.07 9.07 8.98 Zaltbommel 6.43 6.32 6.25 6.24 6.22 waterlevels
  • 76. Computation times DFM A DFM B DFM C DFM op WAQUA rooster Aantal actieve punten () 22881 59331 187955 122328 Aantal tijdstappen () 8674 15161 35010 23826 Rekentijd (s) 228 959 8560 4243 Gemiddelde tijdstap (s) 29.9 17.1 7.4 10.9 Tabel 3: Rekentijden voor 72 uur simulatie op Elitebook 8570w
  • 77. Semi subgrid – tabellenboek, DFM A Pannerdensekop +4 cm Nijmegen +1 cm Tiel +2 cm Zaltbommel +2 cm
  • 78. Discussion: DFM makes it easier to refine some area and assess local modifications DFM is still a lot slower than WAQUA , so how fine can the network be? Can part of the network be 1D? Does winterbed need same resolution as summerbed? Spiral flow icw 2D or 3D instead? (Check subgrid weirs in 3D) Trachytopen/Baptist/3D vegetation in winterbed ? Bedform / roughness estimators in summerbed? Hles? Settings for Regina’s problem? Higher order adv. in 3D problem! Coupling to groundwater? Non-linear volumes for dynamic high water simulation?
  • 79. Is this true? Summerbed friction is a certainty because of extensive land use classification == > Winterbed is the only location where calibration is allowed.