Uncertainty in soil gas permeability measurements
Lingxia Feng,
No information about this author
Junguo Hu,
No information about this author
Junjie Jiang
No information about this author
et al.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: Jan. 23, 2025
Introduction
Soil
gas
permeability
is
critical
to
the
study
of
soil
pore
structure,
transport,
and
crop
growth.
Methods
In
this
paper,
a
pressure
decay
method
proposed
calculate
based
on
law
conservation
mass,
which
measured
compared
with
steady-state
in
variety
soils,
including
compacted
soils
different
moisture
contents.
The
applicability
two
methods
effects
compaction
water
content
were
explored.
Results
experimental
results
show
that
low-permeability
there
bias
values
method.
contrast,
calculated
are
more
accurate.
Increasing
or
compacting
20%–88%
63%–93%
decrease
permeability,
respectively,
degree
correlating
viscosity
medium.
Discussion
findings
calculating
helps
compensate
for
inaccuracy
measuring
soils.
This
leads
better
evaluation
aeration
conditions,
which,
turn,
serves
environmental,
agricultural,
ecological
research.
Language: Английский
Effects of environmental changes on soil respiration in arid, cold, temperate, and tropical zones
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
952, P. 175943 - 175943
Published: Aug. 31, 2024
Language: Английский
Global Spatial Projections of Forest Soil Respiration and Associated Uncertainties
Lingxia Feng,
No information about this author
Junjie Jiang,
No information about this author
Junguo Hu
No information about this author
et al.
Forests,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1982 - 1982
Published: Nov. 10, 2024
The
accurate
prediction
of
global
forest
soil
respiration
(Rs)
is
critical
for
climate
change
research.
Rs
consists
autotrophic
(Ra)
and
heterotrophic
(Rh)
respiration,
which
respond
differently
to
environmental
factors.
Predicting
as
a
single
flux
can
be
biased;
therefore,
Ra
Rh
should
predicted
separately
improve
accuracy.
In
this
study,
we
used
the
SRDB_V5
database
random
model
analyze
uncertainty
in
predicting
using
(SGM)
Ra/Rh
specific
categorical
(SCM)
spatial
dynamics
distribution
pattern
Ra,
Rh,
future
under
two
different
patterns.
results
show
that
higher
tropical
inland
climatic
conditions,
while
fluctuates
less
than
Rs.
addition,
SCM
predictions
better
capture
key
factors
are
more
consistent
with
actual
data.
SSP585
(high
emissions)
scenario,
projected
increase
by
19.59
percent,
SSP126
(low
increases
only
3.76
percent
over
80
years,
underlines
need
projections.
Language: Английский
Quantifying the Effects of Wind Turbulence on CO2 Flux Measurement in a Closed Chamber
Zhiwei Wu,
No information about this author
Junguo Hu,
No information about this author
Lingxia Feng
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10501 - 10501
Published: Nov. 29, 2024
This
study
aimed
to
investigate
the
effects
of
wind
turbulence
on
CO2
transport
within
a
medium
and
extent
measurement
errors
in
closed
chamber.
Therefore,
laboratory
with
controllable
environmental
conditions,
performance
chamber
at
various
speeds
was
assessed
using
soil
respiration
calibration
apparatus
four
types
porous
media.
The
experimental
results
indicated
that
under
influence
exhibited
varying
degrees
underestimation,
ranging
from
−51
−6%.
were
more
pronounced
sandy
soils.
As
enhanced
gas
medium,
flux
measurements
biased,
this
phenomenon
closely
related
medium’s
particle
size
surface
speed.
To
address
issue,
it
is
recommended
conduct
long-term
monitoring
eliminate
by
averaging
repeated
measurements,
which
will
improve
accuracy
ecosystem
carbon
budget.
Language: Английский