Soil Science Society of America Journal,
Journal Year:
2023,
Volume and Issue:
87(6), P. 1275 - 1284
Published: Aug. 8, 2023
Abstract
Soil
thermal
conductivity
(λ)
has
broad
applications
in
soil
science,
hydrology,
and
engineering.
In
this
study,
we
applied
the
percolation‐based
effective‐medium
approximation
(P‐EMA)
to
estimate
saturation
dependence
of
()
using
data
from
38
undisturbed
samples
collected
across
state
Kansas.
The
P‐EMA
model
four
parameters
including
a
scaling
exponent
(
t
s
),
critical
water
content
(θ
c
conductivities
at
oven‐dry
(λ
dry
)
full
sat
conditions.
To
curve,
values
λ
were
measured
properties
analyzer
θ
estimated
as
function
clay
content.
Thermal
was
also
Johansen
model.
By
comparison
with
observations,
resulted
root
mean
square
error
(RMSE)
ranging
0.029
0.158
W
m
−1
K
,
whereas
had
an
RMSE
0.021
0.173
.
Our
results
demonstrate
that
comparable
accuracy
widely
used
saturation‐dependent
soils
minimal
input
parameters.
Future
studies
should
focus
on
better
understanding
physical
meaning
improve
our
ability
percolation
principles.
Journal of Thermal Science and Engineering Applications,
Journal Year:
2023,
Volume and Issue:
15(11)
Published: July 18, 2023
Abstract
The
aim
of
this
study
was
to
enhance
the
accuracy
predicting
temperature
field
frozen
soil
and
reduce
workload
thermal
parameter
testing.
To
achieve
this,
we
employed
a
three-phase
model
comprising
soil,
water,
ice.
unfrozen
water
content
in
at
varying
temperatures
determined
using
nuclear
magnetic
resonance
spectroscopy
(NMR),
while
conductivity
measured
by
characteristic
analyzer.
A
matlab
software-based
random
then
established
imported
into
COMSOL
simulation
software.
repeatability
reproducibility
were
verified
proportions
pore
ice
determine
degree
accuracy.The
results
demonstrated
that
maintained
dynamic
equilibrium
relationship
with
temperature,
which
influenced
soil.
consistent
those
obtained
from
instrument
measurements
trends
respect
temperature.
average
PBIAS
value
between
calculated
values
0.0139,
indicating
theoretical
feasibility.
Comparison
experimental
data
confirmed
effectiveness
our
approach,
providing
novel
concept
simple
method
for
engineering
areas
experience
seasonal
freezing.
Soil Science Society of America Journal,
Journal Year:
2023,
Volume and Issue:
87(6), P. 1275 - 1284
Published: Aug. 8, 2023
Abstract
Soil
thermal
conductivity
(λ)
has
broad
applications
in
soil
science,
hydrology,
and
engineering.
In
this
study,
we
applied
the
percolation‐based
effective‐medium
approximation
(P‐EMA)
to
estimate
saturation
dependence
of
()
using
data
from
38
undisturbed
samples
collected
across
state
Kansas.
The
P‐EMA
model
four
parameters
including
a
scaling
exponent
(
t
s
),
critical
water
content
(θ
c
conductivities
at
oven‐dry
(λ
dry
)
full
sat
conditions.
To
curve,
values
λ
were
measured
properties
analyzer
θ
estimated
as
function
clay
content.
Thermal
was
also
Johansen
model.
By
comparison
with
observations,
resulted
root
mean
square
error
(RMSE)
ranging
0.029
0.158
W
m
−1
K
,
whereas
had
an
RMSE
0.021
0.173
.
Our
results
demonstrate
that
comparable
accuracy
widely
used
saturation‐dependent
soils
minimal
input
parameters.
Future
studies
should
focus
on
better
understanding
physical
meaning
improve
our
ability
percolation
principles.
