Biochar mitigates greenhouse gas emissions from bulk soil in wheat-corn rotation system by inhibiting biochemical decomposition
Agriculture Ecosystems & Environment,
Год журнала:
2025,
Номер
386, С. 109600 - 109600
Опубликована: Март 10, 2025
Язык: Английский
Competitive adsorption of exchangeable Al3+ on the surface of lignosulfonate contributes to reducing soil acidification while improving soil fertility: Findings from a density functional theory calculation
Environmental Technology & Innovation,
Год журнала:
2024,
Номер
35, С. 103716 - 103716
Опубликована: Июнь 10, 2024
Soil
acidification
poses
a
significant
threat
to
the
healthy
development
of
agriculture.
Traditional
soil
amendment
involving
lime
(L)
has
notable
limitations.
Therefore,
developing
alternative
methods
address
holds
significance.
In
this
study,
calcium
lignosulfonate
(LC)
was
introduced
different
acidic
purple
soils
assess
its
efficacy
in
reducing
acidity
and
enhancing
fertility.
The
density
functional
theory
(DFT)
calculation
employed
analyze
potential
interaction
mechanisms
LC
decreasing
acidity.
results
indicated
that
2
‰
addition
improved
pH
by
2.8
organic
carbon
26
%
poor-quality
extremely
(with
an
initial
4.4)
after
40-day
pot
experiment.
findings
from
Fourier
Transform
infrared
spectroscopy
(FTIR)
DFT
suggested
competitive
adsorption
between
Al3+
Ca2+
on
surface
groups
(e.g.,
–SO3-
–OH)
contributes
immobilization
exchangeable
Al3+.
These
validate
feasibility
as
application
for
amending
underscore
advantages
fertility
enhancement.
molecular
model
extend
understanding
key
mitigating
acidification.
This
study
will
highlight
agricultural
applications
contribute
more
effective
amendments
ensure
cropland
health
promote
sustainable
Язык: Английский
An optimal global biochar application strategy based on matching biochar and soil properties to reduce global cropland greenhouse gas emissions: findings from a global meta-analysis and density functional theory calculation
Biochar,
Год журнала:
2024,
Номер
6(1)
Опубликована: Окт. 23, 2024
Abstract
Biochar
has
been
extensively
utilized
to
amend
soil
and
mitigate
greenhouse
gas
(GHG)
emissions
from
croplands.
However,
the
effectiveness
of
biochar
application
in
reducing
cropland
GHG
remains
uncertain
due
variations
properties
environmental
conditions
across
regions.
In
this
study,
impact
surface
functional
groups
on
was
investigated
using
molecular
model
calculation.
Machine
learning
(ML)
technology
applied
predict
responses
crop
yields
under
different
feedstocks
rates,
aiming
determine
optimum
strategies
based
specific
a
global
scale.
The
findings
suggest
that
play
an
essential
role
determining
activity
soil’s
capacity
for
adsorbing
GHGs.
ML
effective
method
predicting
changes
yield
following
application.
Moreover,
poor-fertility
soils
exhibited
greater
compared
fertile
soil.
Implementing
optimized
strategy
may
result
substantial
reduction
684.25
Tg
year
−1
CO
2
equivalent
(equivalent
7.87%
emissions)
while
simultaneously
improving
yields.
This
study
improves
our
understanding
interaction
between
GHG,
confirming
potential
mitigating
addressing
climate
degradation.
Further
research
efforts
are
required
optimize
such
strategies.
Graphical
Язык: Английский
Biochar for sustainable agriculture: Improved soil carbon storage and reduced emissions on cropland
Journal of Environmental Management,
Год журнала:
2024,
Номер
371, С. 123147 - 123147
Опубликована: Ноя. 6, 2024
Язык: Английский
A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City
Toxics,
Год журнала:
2025,
Номер
13(4), С. 254 - 254
Опубликована: Март 28, 2025
Surface
air
pollution
affects
ecosystems
and
people’s
health.
However,
traditional
models
have
low
prediction
accuracy.
Therefore,
a
hybrid
model
for
accurately
predicting
daily
surface
PM2.5
concentrations
was
integrated
with
wavelet
(W),
convolutional
neural
network
(CNN),
bidirectional
long
short-term
memory
(BiLSTM),
gated
recurrent
unit
(BiGRU).
The
data
meteorological
factors
pollutants
in
Guangzhou
City
from
2014
to
2020
were
utilized
as
inputs
the
models.
W-CNN-BiGRU-BiLSTM
demonstrated
strong
performance
during
phase,
achieving
an
R
(correlation
coefficient)
of
0.9952,
root
mean
square
error
(RMSE)
1.4935
μg/m3,
absolute
(MAE)
1.2091
percentage
(MAPE)
7.3782%.
Correspondingly,
accurate
is
beneficial
control
urban
planning.
Язык: Английский
Biochar carbon-based amendment rather than straw contributes to the mitigation of greenhouse gas emissions while increasing crop yield: Insights from a field experiment and density functional theory calculation
Environmental Technology & Innovation,
Год журнала:
2025,
Номер
39, С. 104250 - 104250
Опубликована: Май 6, 2025
Язык: Английский
Superior properties of biochar contribute to soil carbon sequestration and climate change mitigation
Journal of environmental chemical engineering,
Год журнала:
2025,
Номер
13(3), С. 116936 - 116936
Опубликована: Май 5, 2025
Язык: Английский
12-year continuous biochar application: Mitigating reactive nitrogen loss in paddy fields but without rice yield enhancement
Agriculture Ecosystems & Environment,
Год журнала:
2024,
Номер
375, С. 109223 - 109223
Опубликована: Авг. 3, 2024
Язык: Английский
Density functional theory calculation for understanding the roles of biochar in immobilizing exchangeable Al3 + and enhancing soil quality in acidic soils
Ecotoxicology and Environmental Safety,
Год журнала:
2024,
Номер
290, С. 117630 - 117630
Опубликована: Дек. 31, 2024
Язык: Английский