Sample Scale Liquid Retention and Liquid-Vapor Interfacial Area
Dani Or & Markus TullerDept. of Plants, Soils and Biometeorology
Utah State University, Logan, Utah
Outline for Section 2
• How can we use simplified Y-L expressions in a unit cell to
represent a population of pores (i.e., a soil sample)?
• Statistical representation of pore size distribution (normal, log-
normal, and Gamma)
• Relationships between psd and soil water characteristic curve
• Measurable soil attributes that provide constraints for psd
estimation
• A proposed estimation scheme
• Examples for various soils – capillary and film water content
• Liquid-vapor interfacial area – an important function for gas
exchange processes (e.g., bioremediation)
Statistical representation of soil pore size distribution
• From Brutsaert (1966) to Assouline (2000) many have proposed to represent soil pore size distribution by various statistical PDF’s such as: normal, log-normal, Gamma, and Weibul PDF’s.
• For example, Kosugi (1994) proposed a log-normal expression:
• There are some subtle differences between f(r) and f(r3) – psd of size usually pertains to pore radii and not volume distribution…
• Relationships between psd and SWC – water capacity (d/d) with f(r) based on the capillary rise equation.
2
20
[ ( / )]( ) exp with ( ) 0
22o o
o o o
n r rf r f r dr r
r
Statistical representation of soil pore size distribution
• Pore size (radii) distribution is calculated by taking the derivative of the SWC (d/dh); and
• By employing the capillary rise equation (r=a/h)
Pore Radius (m)
1 10 100
Freq
uen
cy (1/
m)
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
Initial
Water Content (m3/m3)
0.35 0.40 0.45 0.50 0.55 0.60
- M
atri
c Po
tential
(m
)
0.01
0.1
1
10
Initial (model)5th Cycle (model)Initial (measurement)1st Cycle (measurement)5th Cycle (measurement)
Mat
ric
Po
ten
tial
- h
- [
m]
Water Content - - [m3 m-3]
ih
ii
hgr
2
i
2
i
Vi
rn
Upscaling from Pore-to Sample-Scale
WetDryL1
L2
L3
L4
L5
21 3
L6
0.00E+00
2.00E+04
4.00E+04
6.00E+04
8.00E+04
1.00E+05
1.20E+05
2:withLExp!L)L(f
1
f(L)
Slits
L1 L2 L3 L4 L5 L6
Gamma Distribution for L A statistical approach using
Gamma distributed cell size is employed to represent a sample of a porous medium.
Gamma distribution – facilitates analytical solutions and preserves the observed skewness in psd.
In developing “upscaled” equations for liquid retention, one must keep track of portions of pore population at various filling stages (due to differences in their pore size).
Limits of Integration for the Upscaling Scheme
Lmax
Full Cells
Full Slits-Partially-Filled Pores
Partially-FilledSlits & Pores
Lmin
L2=
3 svl
6
A3
nC
L1
=
Filling StageFilling StageBoundary Cell SizeBoundary Cell Size
The application of Limits of Integrationin the Upscaling Scheme
full cells
cornerspore
full slits
filmspore
filmspore+slits
Measured Media Properties ProvideConstraints for Geometry and PSD
Measured soil specific surface area and the “dry end” of the SWC curve provide constraints for and parameters.
The “bubbling pressure” defines the largest pore to be considered.
The smallest pore size is bounded by slit-spacing.
Measured and Modeled Water Retention Curve
Degree of Saturation
0.0 0.2 0.4 0.6 0.8 1.0 1.2
- C
hem
ical
Po
ten
tial
[J/
kg]
10-2
100
102
104
106
AdsoroptionCapillarityNew ModelVG-ModelMeasurements
Millville Silt Loam
films corners/full pores
Measured and Modeled Water Retention Curve
Degree of Saturation
0.0 0.2 0.4 0.6 0.8 1.0 1.2
- C
he
mic
al P
ote
nti
al [
J/k
g]
10-2
100
102
104
106
AdsorptionCapillarityNew ModelVG-ModelMeasurements
Salkum
Measured and Predicted Liquid-Vapor Interfacial Area
Degree of Saturation
0.0 0.2 0.4 0.6 0.8 1.0
Liq
uid
-Vap
or
Inte
rfac
ial A
rea
[m2/m
3]
100
101
102
103
104
105
Menisci (SA=0.05 m2/g)
Films & Menisci (SA=0.05 m2/g)Karkare & Fort [1996]
Kim et al. [1997]
Menisci
Films & Menisci
Sand
An Overview of the Proposed Scheme