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.
Geoderma,
Journal Year:
2023,
Volume and Issue:
438, P. 116631 - 116631
Published: Aug. 8, 2023
Thermal
conductivity
(λ)
is
a
property
characterizing
heat
transfer
in
porous
media,
such
as
soils
and
rocks,
with
broad
applications
to
geothermal
systems
aquifer
characterizations.
Numerous
empirical
physically-based
models
have
been
developed
for
thermal
unsaturated
soils.
Recently,
Ghanbarian
Daigle
(G&D)
proposed
theoretical
model
using
the
percolation-based
effective-medium
approximation.
An
explicit
form
of
G&D
relating
λ
water
content
(θ)
equations
estimate
parameters
were
also
derived.
In
this
study,
we
calibrated
two
widely
applied
λ(θ)
robust
calibration
dataset
41
All
three
performances
evaluated
validation
58
After
calibration,
root
mean
square
error
(RMSE),
absolute
(MAE)
coefficient
determination
(R2)
0.092
W−1
m−1
K−1,
0.067
K−1
0.97,
respectively.
For
models,
RMSEs
ranged
from
0.086
0.096
MAEs
0.063
0.071
R2
values
about
0.97.
metrics
indicated
that
improved
performance
model,
it
had
an
accuracy
similar
models.
Such
confirmed
theoretically-based
can
be
study
soil
potentially
other
related
fields.
