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James PM Syvitski & Eric WH Hutton, CSDMS, CU-Boulder With special thanks to Jasim Imran, Gary Parker, Marcelo Garcia, Chris Reed, Yu’suke Kubo, Lincoln Pratson after A. Kassem after A. Kassem & J. Imran & J. Imran Earth-surface Dynamics Modeling & Model Coupling A short course

James PM Syvitski & Eric WH Hutton, CSDMS, CU-Boulder

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Earth-surface Dynamics Modeling & Model Coupling A short course. James PM Syvitski & Eric WH Hutton, CSDMS, CU-Boulder With special thanks to Jasim Imran, Gary Parker, Marcelo Garcia, Chris Reed, Yu’suke Kubo, Lincoln Pratson. after A. Kassem & J. Imran. - PowerPoint PPT Presentation

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Page 1: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

James PM Syvitski & Eric WH Hutton, CSDMS, CU-BoulderWith special thanks to Jasim Imran, Gary Parker, Marcelo

Garcia, Chris Reed, Yu’suke Kubo, Lincoln Pratson

after A. Kassem after A. Kassem & J. Imran& J. Imran

Earth-surface Dynamics Modeling & Model Coupling A short course

Page 2: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Module 6: Density Currents, Sediment Failure & Gravity Flows

ref: Syvitski, J.P.M. et al., 2007. Prediction of margin stratigraphy. In: C.A. Nittrouer, et al. (Eds.) Continental-Margin Sedimentation: From Sediment Transport to Sequence Stratigraphy. IAS Spec. Publ. No. 37: 459-530.

Density Currents (2)Hyperpycnal Modeling (11)Sediment Failure Modeling (2)Gravity Flow Decider (1)Debris Flow Modeling (3)Turbidity Current Modeling (6)Summary (1)

Earth-surface Dynamic Modeling & Model Coupling, 2009

DNS simulation, E. Meiberg

Page 3: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Density-cascading occurs where shelf waters are made hyper-dense through: cooling (e.g. cold winds blowing off the land), or salinity enhancement (e.g. evaporation through winds, brine rejection under ice)Shelf Flows converge in canyons and accelerate down the slope. Currents are long lasting, erosive & carry sediment downslope as a tractive current, or as turbidity current.

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 4: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Cold water enters canyon across south rim. Erosive current generates furrows. Sand and mud carried by currents.

POC: Dan Orange

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 5: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

SAKURA for modeling hyperpycnal flowsafter Y. Kubo

• Dynamic model based on layer-averaged, 3-equations model of Parker et al. (1986)• Able to simulate time-dependent flows at river mouth• Data input: RM velocity, depth, width, sediment concentration.• Predicts grain size variation within a turbidite bed• Applicable to complex bathymetry with upslope

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 6: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

1. layer-averaged, 3-equations model with variation in channel width

2. Eulerian type (fixed) grid, with staggered cell

3. Two-step time increments

The model employs…

du

dt+ u

du

dx+

u2

2w

dw

dx= gΔρCS −

gΔρ

2hw

d

dxCh2w( ) −

Cdu2

h+ν 1+ 2.5C( )

d2u

dx2

dh

dt+

1

w

d

dxuhw( ) = Ewu

dCh

dt+

1

w

d

dxuChw( ) = Ferosion − Fdeposition

C, H cell centerU cell boundary

Good for mass conservation

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 7: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Mixing of freshwater and seawater

Hyperpycnal flows in the marine environment involve freshwater and the sediment it carries mixing with salt water. River water enters the marine basin with a density of 1000 kg/m3, where it mixes with ocean water having a density typically of 1028 kg/m3. This mixing increases the fluid density of a hyperpycnal current, and alters the value of C and R, where

where is density of the fluid in the hyperpycnal current, sw is density of the ambient seawater, f is density of thehyperpycnal current (sediment and water), and s is grain density

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 8: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

4. TVD scheme for spatial difference uses…

5. Automatic estimation of dt

• Uses 1st order difference scheme for numerically unstable area and higher order scheme for stable area

• Avoids numerical oscillation with relatively less numerical diffusion

• Possibly causes break of conservation law →used only in momentum equation.

dt is determined from dx/Umax at every time step

with the value of safety factor given in an input file.

6. Variable flow conditions at river mouth

• Input flow conditions are given at every SedFlux time step

• When hyperpycnal condition lasts multiple time steps, a single hyperpycnal flow occurs with is generated from combined input data.

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 9: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Equations for rate of deposition

1. Removal rate, Fdeposition = C H dt

2. Settling velocity, ws

Fdeposition = Cb ws dt (Cb =2.0 C)

3. Flow capacity, z

Fdeposition = ws dt ( C H - z) /H

Fdeposition = Cb ws dt (1-/c)

Steady rate of deposition regardless of flow conditions

Critical shear stress c is not reliable

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 10: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Flow capacity, z

(Hiscott, 1994)

C

Cb

=H1 − y

y

H0

H1 − H0

⎝ ⎜

⎠ ⎟

Z

Z = U* / κβws( )

Steady state profile of suspended sediment

Amount of suspended sediments that a flow can sustain

The excess amount of suspension start depositing when the total amount of suspended sediments exceeds the capacity.

Y = y /H1, a = H0 /H1

Cb = 2.0 C, a = 0.05€

z = CdyH 0

H1∫ = CbH11−Y

Y

a

1− a

⎝ ⎜

⎠ ⎟Z

dYa

1∫

z ≈ CbH1 exp − 0.124 log2 Z +1.2( )4

( )

Critical flow velocity

Z ≅ 0.20 ⇒ U =198ws

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 11: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Experimental Results

0.6, 0.9, 1.2 m from the source0.3 m < thickness < 0.5 m

2.4, 3.0, 3.3, 3.6 m from the source thickness < 0.2 m

input

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 12: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Jurassic Tank SedFluxContinuous flow

Large pulse

Small pulses

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 13: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Multiple basins --- of the scale of Texas-Louisiana slope

Earth-surface Dynamic Modeling & Model Coupling, 2009

deeptow.tamu.edu/gomSlope/GOMslopeP.htm

Page 14: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

70 cm/s

Imran & Syvitski, 2000, Oceanography

Lee, Syvitski, Parker, et al. 2002, Marine Geol.

A 2D SWE model application to the Eel River flood

Earth-surface Dynamic Modeling & Model Coupling, 2009

A 1D integral Eulerian model application to flows across the Eel margin sediment waves

Page 15: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Khan, Imran, Syvitski, 2005, Marine Geology

FLUENT-modified FVM-CFD application

Berndt et al. 2006

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 16: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

1) Examine possible elliptical failure planes2) Calculate sedimentation rate (m) at each cell3) Calculate excess pore pressure ui

Gibson ui = ’zi A-1

where A = 6.4(1-T/16)17+1T ≈ m2t/Cv

and Cv = consolidation coefficient

or use dynamic consolidation theory

SEDIMENT FAILURE MODEL

Earth-surface Dynamic Modeling & Model Coupling, 2009

F

ui =1− c1e−c 2Tv

Page 17: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

4) Determine earthquake load (horizontal and vertical acceleration)5) Calculate JANBU Factor of Safety, F: ratio of resisting forces (cohesion and

friction) to driving forces (sediment weight, earthquake acceleration, excess pore pressure)

SEDIMENT FAILURE MODEL

Earth-surface Dynamic Modeling & Model Coupling, 2009

JANBU METHOD OF SLICES

FT =

i=0

n∑ bi ci +

Wvi

bi−ui

⎝ ⎜ ⎜

⎠ ⎟ ⎟ tanφi

⎝ ⎜ ⎜

⎠ ⎟ ⎟

secαi

1+tanαi tanφi

FT

⎢ ⎢ ⎢ ⎢

⎥ ⎥ ⎥ ⎥

Wvisinαi + Whi

cosαii=0

n∑

i=0

n∑

Where FT = factor of safety for entire sediment volume (with iterative convergence to a solution); bi=width of ith slice; ci=sediment cohesion; = friction angle; Wvi=vertical weight of column = M(g+ae); =slope of failure plane; Whi=horizontal pull on column = Mae; g=gravity due to gravity; ae =acceleration due to earthquake; M =mass of sediment column, ui= pore pressure.

6) Calculate the volume & properties of the failure: in SedFlux the width of the failure is scaled to be 0.25 times the length of the failure

7) Determine properties of the failed material and decide whether material moves as a debris flow or turbidity current

Page 18: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Sediment Gravity Flow DeciderDebris Flow or Turbidity Current?

• Properties of a failed mass determine the gravity flow dynamics.

• If failed material is clayey (e.g. > 10% clay), then the failed mass is transported as a debris flow. Clay content is a proxy for ensuring low hydraulic conductivity and low permeability and thus the generation of a debris flow with viscoplastic (Bingham) rheology.

• If the material is sandy, or silty with little clay (e.g.< 10% clay) then the failed sediment mass is transported down-slope as a turbidity current, where flow accelerations may cause seafloor erosion and this entrained sediment may increase the clay content of the flow compared to the initial failed sediment mass. Deposition of sand and silt along the flow path may result in the turbidity current transporting primarily clay in the distal reaches along the flow path.

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 19: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Governing equations of the Lagrangian form of the depth-averaged debris flow equations:

h=height; U=layer-averaged velocity; g is gravity; S is slope; w is density of ocean water; m is density of mud flow; m is yield strength, and m is kinematic viscosity.

Continuity

Momentum (shear (s) layer)

Momentum (plug flow (p) layer)

height of flow (1a) is inversely proportional to its velocity (1b).

Momentum (a) is balanced by weight of the flow scaled by seafloor slope (b); fluid pressure forces produced by variations in flow height (2c); and

frictional forces (d).

∂h

∂t(a ){

+∂

∂xU php +

2

3U phs

⎡ ⎣ ⎢

⎤ ⎦ ⎥

(b )1 2 4 4 4 3 4 4 4

= 0

23

∂tU phs( ) −U p

∂hs

∂t+ 8

15

∂xU p

2hs( ) − 23 U p

∂xU phs( )

(a )1 2 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4

=

hsg 1−ρ w

ρ m

⎝ ⎜

⎠ ⎟S

(b )1 2 4 4 3 4 4

− hsg 1−ρ w

ρ m

⎝ ⎜

⎠ ⎟∂h

∂x(c )

1 2 4 4 3 4 4 − 2

μmU p

ρ mhs

⎝ ⎜

⎠ ⎟

(d )1 2 4 3 4

∂∂t

U php( ) +∂

∂xU p

2hp( ) + U p

∂hs

∂t+ 2

3 U p

∂xU phs( )

(a )1 2 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4

=

hpg∂

∂x1−

ρ w

ρ m

⎝ ⎜

⎠ ⎟S

(b )1 2 4 4 3 4 4

− hpg 1−ρ w

ρ m

⎝ ⎜

⎠ ⎟∂h

∂x(c )

1 2 4 4 3 4 4 −

τ m

ρ w

(d ){

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 20: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Given these governing equations for a debris flow, the dynamics do not allow the seafloor to be eroded. Thus the grain size of the final deposit is equal to the homogenized grain size of the initial failed sediment mass.

Shear strength Runout

Viscosity Runout

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 21: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

“Global” Sediment Properties

• Coefficient of consolidation• Cohesion• Friction angle • Shear strength• Sediment viscosity

Failure

Debris flow

“Local” Sediment Properties relationships on a cell by cell basis

( )φσ ,,cc =Cohesion

σ load, friction angle,

shear strength, e void ratio,

PI plasticity index, D grain size

r relative density

( )eηη =Viscosity

( )PI,σττ =Shear strength

φ=φ D,ρr( )Friction angle

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 22: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Four layer-averaged turbidity current conservation equations in Lagrangian form

∂h∂t

+∂Uh∂x

(a)1 2 4 3 4

=ewU(b){

∂Ch∂t

+∂UCh∂x

(a)1 2 4 4 3 4 4

=Ws(Es −roC)(b)

1 2 4 3 4

∂Uh∂t

+∂U 2h∂x

(a )1 2 4 4 3 4 4

=RgChS(b)

1 2 3 −12 Rg

∂Ch2

∂x(c)

1 2 4 3 4 −u*

2

(d){

∂Kh

∂t+

∂UKh

∂x(a)

1 2 4 4 3 4 4 = u*

2U + 1

2U 3ew

(b)1 2 4 4 3 4 4

− ε oh(c )

{ − RgWs Ch(d)

1 2 4 3 4 − 1

2RgChUew

(e )1 2 4 3 4

− 1

2RghWs (Es − roC)

( f )1 2 4 4 4 3 4 4 4

Momentum = Gravity - Pressure - Friction

Turbulent kinetic energy

Sediment continuity Exner Equation

Fluid continuity (with entrainment)

Dissipat. viscosity

Resusp. Energy

Entrainment Energy

Bed Erosion Energy

Energy

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 23: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Earth-surface Dynamic Modeling & Model Coupling, 2009

Chris Reed, URS

Page 24: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Pratson et al, 2001 C&G

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 25: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

3-Equation Model 4-Equation Model

height

velocity

concentration

Earth-surface Dynamic Modeling & Model Coupling, 2009

Page 26: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Turbidity current on a fjord bottom (Hay, 1987)

High superelevation of flow thickness

Significant levee asymmetry

Very mild lateral topography

Earth-surface Dynamic Modeling & Model Coupling, 2009

Application of Fluent 2D FVM –CFD model to modeling a turbidity current on a meandering bed (Kassem & Imran, 2004)

Page 27: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Lateral flow field in a straight unconfined section.

Density field at a bend in a unconfined section

Earth-surface Dynamic Modeling & Model Coupling, 2009

Very weak circulation cell

Flow field at a bend in a unconfined section

Kassem & Imran, 2004

Page 28: James PM Syvitski & Eric WH Hutton,  CSDMS, CU-Boulder

Earth-surface Dynamic Modeling & Model Coupling, 2009

Density Currents, Sediment Failure & Gravity Flows Summary

Density Currents: may interact with seafloor: RANS?

Hyperpycnal Flow Models: 3eqn 1Dx & 2Dxy Lagrangian SWE; 3D FVM

Sediment Failure Model: Janbu MofS FofS model + excess pore pressure model + material property model

Gravity Flow Decider: material property model

Debris Flow Model: Bingham, Herschel-Buckley, Bilinear rheologies; 1Dx 2-layer Lagrangian

Turbidity Current Models: 3eqn & 4eqn 1Dx SWE; 3D FVM CFD

(as a test try to translate this slide)