formation of brine channels in sea ice · formation of brine channels in sea ice k....

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Formation of brine channels in sea ice K. Morawetz 1,2,3 ,B. Kutschan 1 , S. Thoms 4 1 unster University of Applied Sciences, Stegerwaldstrasse 39, 48565 Steinfurt, Germany 2 International Institute of Physics (IIP), Av. Odilon Gomes de Lima 1722, 59078-400 Natal, Brazil 3 Max-Planck-Institute for the Physics of Complex Systems, 01187 Dresden, Germany 4 Alfred Wegener Institut f¨ ur Polar- und Meeresforschung, Am Handelshafen 12, 27570 Bremerhaven, Germany Different ice textures as habitat for micro-organisms Columnar Col.-granular granular plate Weissenberger, Ber. Polarforsch. 111 (1992) Diatoms in brine pockets bacteria Dieckmann carbon consump- tion of organisms in brine channels: 18% in southern ocean Minimal microscopic model 1. Molecular structure of water and ice by ”tetrahedricity’ u = 1 15 <l 2 > i,j (l i l j ) 2 l i lengths of six edges by four nearest neighbors ice: ideal tetrahedron M T =0 water: random structure M T =1 2. Salinity v free energy density D ice 2 (u) 2 + a 1 2 u 2 a 2 3 u 3 + a 3 4 u 4 + h 2 u 2 v + D salt 2 v 2 a 1 ... freezing parameter (phase transition) a 3 ... structure parameter (nonlinear) a 2 ... first-order phase transition h... ice-water coupling (reaction rate) D ice , D salt diffusion coefficients of ice and salt Time evolution of Cahn-Hilliard-type conservation of salt mass, demand balance equation ∂v/∂t = −∇ j current generalized force j F by potential F = −∇P potential in turn by free energy density P = δf/δv dimensionless time τ = D salt a 2 2 t/h 2 , space ξ = a 2 x/h, order parameter ψ = h 2 u/D salt a 2 , and salinity ρ = h 3 v/D salt a 2 2 ∂ψ ∂τ = α 1 ψ + ψ 2 α 3 ψ 3 ψρ + D 2 ψ ∂ξ 2 , ∂ρ ∂τ = 1 2 2 ψ 2 ∂ξ 2 + 2 ρ ∂ξ 2 . time-dependent Ginzburg-Landau equations couple 2 order parameters by 3constants: 1. freezing parameter α 1 = a 1 h 2 /a 2 2 D salt 2. structure parameter α 3 = a 3 D salt h 2 3. diffusivity D = D ice D salt with α 1 , α 3 ,D> 0 Thermodynamics uniform stationary free energy density f 0 0 )= α 1 2 ψ 2 0 1 3 ψ 3 0 + α 3 4 ψ 4 0 Freezing-point depression since α 1 (T )= α 1 (T )+ ρ 0 (higher temperature than α 1 ) at T 0 c = 233.15K vanishes α 1 (T )=˜ α 1 (T T 0 c ) freezing point depression ΔT = ρ 0 ˜ α 1 latent heat of water-ice phase transition ΔH =6kJ/mol and a dis- sociation ratio of x =(n Na + + n Cl )/n H 2 O =1/50, Clausius-Clapeyron: ΔT = xRT 2 /ΔH = 2K specific heat c = T 0 c 2 f (ψ + 0 (T )) ∂T 2 = 8 81 T 0 c α 3 3 (T c T 0 c ) 2 energy scale difference of latent heat of water freezing K E = L(0 C ) L(40 C ) = 98J/g , our theory: c spec = K E c =2.14J/gK α 3 =0.9 Supercooling/heating only by α 1 , α 3 α 1 > 1/4α 3 , minimum at 0: disordered state α 1 1 4α 3 = α 1 (T 1 ) second minimum, coexis- tence curve, borderline represents super-heating α 1 (T c )= 2 9α 3 1 (T ) < 1 4α 3 ordered phase metastable, (ice formation possible) α 1 α 1 (T c ) ordered phase stable, jump at T c latent heat, first-order phase transition super-cooling T 0 c , freezing-point T c , super- heating T 1 = 9 8 T c 1 8 T 0 c homogeneous nucleation at super-heating > 5 C, fresh water (T c = 273.15K and T 0 c = 233.15K) we have upper limit of super-heating T 1 = 4.96 C in agreement with experiment K. Baumann et al. Z. Phys. B Cond. Matt. 56 (1984) 315 0 0,5 1 1,5 ψ 0 -0,1 -0,05 0 0,05 f(ψ 0 29 T=T 1 α 1 =1/4α 3 T=T c α 1 =2/9α 3 T=T 0 c,s α 1 =0 230 240 250 260 270 280 T [K] 0 0.2 0.4 0.6 0.8 1 ψ 0 + (T) T c 0 T c T 1 α 1 =1/4a 3 α 1 =2/9a 3 α 3 =0.9, α 1 =0.2 Linear stability analysis linear stability analysis ¯ ρ ρ 0 e λ(κ)τ +iκξ around the disordered and ordered phase λ(κ) > 0 allows fluctuation with wave-vector κ to grow exponentially in time time-oscillating structures would appear only if Imλ(κ) =0, never in our model 0 0.1 0.2 0.3 α 1 0 0.5 1 1.5 2 2.5 α 3 uniform uniform liquid- spatial structures ice phase water phase melting phase diagram where spatial struc- tures can occur (checked) structure parameters α 1 determines brine channel formation: small α 1 means low temperatures or low salinities and consequently freezing process uniform ice phase for sufficiently large α 3 and a precipitate of salt at higher α 1 higher temperatures or higher salinities inducing a melting with uniform liquid water phase and dissolved salt spatial structures can only appear in the instability region (maximal point α 1 =1/9 at α 3 =2) -60 -40 -20 0 20 40 60 ξ -0,8 -0,6 -0,4 -0,2 0 0,2 0,4 0,6 0,8 1 1,2 1,4 1,6 ψ, ρ ψ ρ -60 -40 -20 0 20 40 60 ξ -0,5 0 0,5 1 1,5 ψ, ρ ψ ρ -60 -40 -20 0 20 40 60 ξ -0,5 0 0,5 1 1,5 ψ, ρ ψ ρ Time evolution 1D (left) and 2D (right) vs. spatial coordinates τ = 10, 150, 500 (from above) with α 3 =0.9, α 1 =0.2, D = D salt D ice 0.5 by D salt at T 0 c = 1.9 o C [S. Maus 2007] and D ice by reorientation rate H 2 O [A. Bogdan 1997] and correlation length [D. Eisenberg and W. Kauzmann 2002] Comparison with experiment: 1. morphology (b) (c) (d) (a) Imaging brine pore space with X-ray com- puted tomography D. J. Pringle et al. J. Geophys. Res. Oceans 114 (2009) C12017 upper images: along brine layers, bottom: across (b) Scanning electron microscopy image of cast of brine channels Weis- senberger (c) long-time Turing (d) phase field structure with salinity conserva- tion Comparison with experiment: 2. percolation threshold histogram of connected clusters above: along brine layers and below: across with temperatures from 18, 8, 4 C α 1 =0.1, and D =0.5 and α 3 =0.9 (left) compared to α 3 =1 (right) Comparison with experiment: 3. structure size fastest-growing wave-vector κ c (D,α 1 3 ) sets structure by 2π/κ c critical domain size as function of freezing point depression λ c = 2π k c = 2π κ c h a 2 = 2π κ c D salt ρ 0 ˜ a 1 |T | 1. Pure sea ice: our choice α 3 =0.91 =0.2 (super-cooling ΔT sup =6.3K) and D = D ice /D salt =0.5: dimensionless pattern size of 13.81 rate of re-orientations of H 2 O-molecules determines ˜ a 1 = 1250K 1 s 1 we obtain critical domain size λ c = 0.8µm in agreement with sea ice platelet spacing λ max 1µm from morphological stability analysis (Weissenberger, Prible, Golden) 2. Size for natural conditions by upper limit of the instability region α 3 =1.99 and freezing parameter α 1 =0.111482, realistic description of seawater at 0.032K super-cooling and a lower limit of the super-cooling region of fresh water at 18.78 C we obtain dimensionless structure size 2π/κ c = 4975.25 and critical do- main size λ c = 198µm in agreement with observed values 3 1000µm average 200µm Summary model for brine channel formation with two coupled order parameters, tetrahedricity and salinity preserving mass conservation linear stability analysis provides phase diagram (two parameters) region of instabilities determined exclusively by freezing parameter and specific heat or structure parameter not by diffusivity (Touring model) parameters describe thermodynamical properties of water like super- heating, super-cooling, freezing temperature and latent specific heat simultaneously time-dependent evolution solved and brine channel texture in agreement with the experimental values physical justification of parameters by other properties of water leads to a better description of brine channel texture by mass conservation: internal consistency of the model Outlook: New dynamical mechanism of antifreeze proteins (new project) supported by grant MO 621/22

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Page 1: Formation of brine channels in sea ice · Formation of brine channels in sea ice K. Morawetz1,2,3,B. Kutschan1, S. Thoms4 1Mu¨nster University of Applied Sciences, Stegerwaldstrasse

Formation of brine channels in sea iceK. Morawetz1,2,3,B. Kutschan1, S. Thoms4

1Munster University of Applied Sciences, Stegerwaldstrasse 39, 48565 Steinfurt, Germany2 International Institute of Physics (IIP), Av. Odilon Gomes de Lima 1722, 59078-400 Natal, Brazil

3 Max-Planck-Institute for the Physics of Complex Systems, 01187 Dresden, Germany4Alfred Wegener Institut fur Polar- und Meeresforschung, Am Handelshafen 12, 27570 Bremerhaven, Germany

Different ice textures as habitat for micro-organisms

Columnar Col.-granular granular plate

Weissenberger, Ber. Polarforsch. 111 (1992)

Diatoms in brine pockets bacteria Dieckmann

• carbon consump-tion of organisms inbrine channels:18% in southernocean

Minimal microscopic model

1. Molecular structure of water and iceby ”tetrahedricity’

u =1

15 < l2 >

i,j

(li − lj)2

li lengths of six edges by four nearest neighbors

ice: ideal tetrahedron MT = 0water: random structure MT = 1

2. Salinity vfree energy density

Dice

2(∇u)2+

a12u2−

a23u3+

a34u4

+h

2u2v+

Dsalt

2v2

a1... freezing parameter (phase transition)a3... structure parameter (nonlinear)a2... first-order phase transitionh... ice-water coupling (reaction rate)Dice, Dsalt diffusion coefficients of ice and salt

Time evolution of Cahn-Hilliard-type

• conservation of salt mass, demand balance equation ∂v/∂t = −∇~j

• current generalized force ~j ∼ ~F by potential ~F = −∇P• potential in turn by free energy density P = δf/δv

dimensionless time τ = Dsalta22t/h

2, space ξ = a2x/h, order parameterψ = h2u/Dsalta2, and salinity ρ = h3v/Dsalta

22

∂ψ

∂τ= −α′

1ψ + ψ2 − α3ψ3 − ψρ +D

∂2ψ

∂ξ2,

∂ρ

∂τ=

1

2

∂2ψ2

∂ξ2+∂2ρ

∂ξ2.

time-dependent Ginzburg-Landau equations couple 2 order parameters by3constants:

1. freezing parameter α′1 = a1h

2/a22Dsalt

2. structure parameter α3 =a3Dsalth2

3. diffusivity D = DiceDsalt

with α1,′ α3, D > 0

Thermodynamics

uniform stationary free energy density f (Ψ0, ρ0) =α12 ψ

20 −

13ψ

30 +

α34 ψ

40

• Freezing-point depression since α1(T ) = α′1(T ) + ρ0 (higher temperature

than α′1)

• at T 0c = 233.15K vanishes α1(T ) = α1(T − T 0

c )

• freezing point depression ∆T = −ρ0α1

→ latent heat of water-ice phase transition ∆H = 6kJ/mol and a dis-sociation ratio of x = (nNa+ + nCl−)/nH2O = 1/50, Clausius-Clapeyron:∆T = −xRT 2/∆H = −2K

→ specific heat c = −T 0c∂2f(ψ+0 (T ))

∂T 2 = 881

T 0c

α33(Tc−T0c )

2

energy scale difference of latent heat of water freezing KE =L(0◦C)− L(−40◦C) = 98J/g, our theory: cspec = KEc = 2.14J/gK

→ α3 = 0.9

Supercooling/heating only by α1, α3

• α1 > 1/4α3, minimum at 0: disordered state• α1 ≤ 1

4α3= α1(T1) second minimum, coexis-

tence curve, borderline represents super-heating• α1(Tc) = 2

9α3< α1(T ) <

14α3

ordered phase

metastable, (ice formation possible)• α1 ≤ α1(Tc) ordered phase stable, jump at Tclatent heat, first-order phase transition• super-cooling T 0

c , freezing-point Tc, super-heating

T1 =98Tc −

18T

0c

• homogeneous nucleation at super-heating >5◦C, fresh water (Tc = 273.15K and T 0

c =233.15K) we have upper limit of super-heatingT1 = 4.96◦C in agreement with experimentK. Baumann et al. Z. Phys. B Cond. Matt.56 (1984) 315

0 0,5 1 1,5ψ0

-0,1

-0,05

0

0,05

f(ψ

0)

T=T1

α1=1/4α3T=T

c α1=2/9α3

T=T0

c,s α1=0

230 240 250 260 270 280T [K]

0

0.2

0.4

0.6

0.8

1

ψ0+

(T)

Tc

0 Tc

T1

α1=1/4a3

α1=2/9a3

→ α3 = 0.9, α1 = 0.2

Linear stability analysis

linear stability analysis ρ = ρ0eλ(κ)τ+iκξ around the disordered and ordered

phaseλ(κ) > 0 allows fluctuation with wave-vector κ to grow exponentially intimetime-oscillating structures would appear only if Imλ(κ) 6= 0, never in ourmodel

0 0.1 0.2 0.3α1

0

0.5

1

1.5

2

2.5

α 3

uniform uniform liquid-

spatial structures

ice phase water phasemelting

phase diagram where spatial struc-tures can occur (checked)

• structure parameters α1 determines brinechannel formation:• small α1 means low temperatures or lowsalinities and consequently freezing process• uniform ice phase for sufficiently large α3

and a precipitate of saltat higher α1 higher temperatures or highersalinities inducing a melting with uniformliquid water phase and dissolved salt• spatial structures can only appear in theinstability region (maximal point α1 = 1/9at α3 = 2)

-60 -40 -20 0 20 40 60 ξ

-0,8-0,6-0,4-0,2

00,20,40,60,8

11,21,41,6

ψ, ρ

ψ ρ

-60 -40 -20 0 20 40 60 ξ

-0,5

0

0,5

1

1,5

ψ, ρ

ψ ρ

-60 -40 -20 0 20 40 60 ξ

-0,5

0

0,5

1

1,5

ψ, ρ

ψ ρ

Time evolution

1D (left) and 2D (right)vs. spatial coordinatesτ = 10, 150, 500 (from above)with α3 = 0.9, α1 = 0.2,

D = DsaltDice

≈ 0.5

by Dsalt at T0c = −1.9oC

[S. Maus 2007]

and Dice by reorientation rateH2O [A. Bogdan 1997] andcorrelation length [D. Eisenbergand W. Kauzmann 2002]

Comparison with experiment: 1. morphology

(b)

(c)

(d)

(a) Imaging brine porespace with X-ray com-puted tomographyD. J. Pringle et al. J.Geophys. Res. Oceans114 (2009) C12017upper images: alongbrine layers, bottom:across(b) Scanning electronmicroscopy image of castof brine channels Weis-senberger(c) long-time Turing(d) phase field structurewith salinity conserva-tion

Comparison with experiment: 2. percolation threshold

histogram of connected clusters

above: along brine layers and below: acrosswith temperatures from −18,−8,−4◦C

α′1 = 0.1, and D = 0.5 and α3 = 0.9 (left) compared to α3 = 1 (right)

Comparison with experiment: 3. structure size

• fastest-growing wave-vector κc(D,α1, α3) sets structure by 2π/κc• critical domain size as function of freezing point depression

λc =2πkc

= 2πκc

ha2= 2π

κc

Dsaltρ0a1|∆T |

1. Pure sea ice:• our choice α3 = 0.9, α1 = 0.2 (super-cooling ∆Tsup = 6.3K) andD = Dice/Dsalt = 0.5: dimensionless pattern size of 13.81• rate of re-orientations of H2O-molecules determines a1 = 1250K−1s−1

• we obtain critical domain size λc = 0.8µm in agreement with seaice platelet spacing λmax ≈ 1µm from morphological stability analysis(Weissenberger, Prible, Golden)

2. Size for natural conditions• by upper limit of the instability region α3 = 1.99 and freezing parameterα1 = 0.111482, realistic description of seawater at 0.032K super-coolingand a lower limit of the super-cooling region of fresh water at −18.78◦C

• we obtain dimensionless structure size 2π/κc = 4975.25 and critical do-

main size λc = 198µm in agreement with observed values 3 − 1000µm

average 200µm

Summary

• model for brine channel formation with two coupled order parameters,tetrahedricity and salinity preserving mass conservation

• linear stability analysis provides phase diagram (two parameters)

• region of instabilities determined exclusively by freezing parameter andspecific heat or structure parameter not by diffusivity (Touring model)

• parameters describe thermodynamical properties of water like super-heating, super-cooling, freezing temperature and latent specific heatsimultaneously

• time-dependent evolution solved and brine channel texture in agreementwith the experimental values

• physical justification of parameters by other properties of water leadsto a better description of brine channel texture by mass conservation:internal consistency of the model

• Outlook: New dynamical mechanism of antifreeze proteins (new project)

supported by grant MO 621/22