Frontiers in Plant Science,
Год журнала:
2024,
Номер
15
Опубликована: Ноя. 26, 2024
Ecological
engineering
can
significantly
improve
ecosystem
carbon
sequestration.
However,
few
studies
have
projected
the
sink
trends
in
regions
where
ecological
projects
overlap
and
not
considered
different
climate
change
conditions
land
use
scenarios.
Using
ensemble
empirical
mode
decomposition
method
machine
learning
algorithms
(enhanced
boosted
regression
trees),
aims
of
this
study
to
elucidate
stability
sinks
their
driving
mechanisms
areas
predict
potential
enhancement
under
varying
human
activity
The
findings
revealed
that:
(1)
clearly
steadily
increased
five
were
implemented
from
1982
2019.
In
contrast,
did
increase
with
two
or
three
projects.
(2)
As
number
increased,
impact
activities
on
gradually
decreased.
eastern
China,
rapid
economic
development
significant
interference
hindered
growth
sinks.
western
warming
humidification
trend
climate,
large-scale
afforestation,
other
improved
(3)
overlapping
exhibited
greatest
Compared
SSP585
scenario,
SSP126
was
greater.
Achieving
neutrality
requires
major
account
for
limitations
imposed
by
climatic
conditions.
Instead
isolated
implementation
single
restoration
measures,
a
comprehensive
approach
that
uses
synergistic
effects
combined
strategies
is
recommended.
Algorithms,
Год журнала:
2025,
Номер
18(3), С. 167 - 167
Опубликована: Март 14, 2025
With
the
rapid
development
of
industrialization
and
urbanization,
air
pollution
is
becoming
increasingly
serious.
Accurate
prediction
PM2.5
concentration
great
significance
to
environmental
protection
public
health.
Our
study
takes
Nanning
urban
area,
which
has
unique
geographical,
climatic
source
characteristics,
as
object.
Based
on
dual-time
resolution
raster
data
China
High-resolution
High-quality
Dataset
(CHAP)
from
2012
2023,
carried
out
using
SARIMA,
Prophet
LightGBM
models.
The
systematically
compares
performance
each
model
spatial
temporal
dimensions
indicators
such
mean
square
error
(MSE),
absolute
(MAE)
coefficient
determination
(R2).
results
show
that
a
strong
ability
mine
complex
nonlinear
relationships,
but
its
stability
poor.
obvious
advantages
in
dealing
with
seasonality
trend
time
series,
it
lacks
adaptability
changes.
SARIMA
based
series
theory
performs
well
some
scenarios,
limitations
non-stationary
heterogeneity.
research
provides
multi-dimensional
reference
for
subsequent
predictions,
helps
researchers
select
models
reasonably
according
different
scenarios
needs,
new
ideas
analyzing
change
patterns,
promotes
related
field
science.
Algorithms,
Год журнала:
2025,
Номер
18(3), С. 174 - 174
Опубликована: Март 20, 2025
In
view
of
the
challenges
brought
by
a
complex
environment,
diverse
data
sources
and
urban
development
needs,
our
study
comprehensively
reviews
application
algorithms
in
residential
vacancy
rate
observation.
First,
we
explore
definition
measurement
rate,
pointing
out
difficulties
accurately
defining
vacant
houses
obtaining
reliable
data.
Then,
introduce
various
such
as
traditional
statistical
learning,
machine
deep
learning
ensemble
analyze
their
applications
The
algorithm
builds
prediction
model
based
on
historical
mining
analysis,
which
has
certain
advantages
dealing
with
linear
problems
regular
However,
facing
high
nonlinear
relationships
complexity
observation,
its
accuracy
is
difficult
to
meet
actual
needs.
With
powerful
modeling
ability,
have
significant
capturing
they
require
quality
are
prone
overfitting
phenomenon.
Deep
can
automatically
learn
feature
representation,
perform
well
processing
large
amounts
high-dimensional
data,
effectively
deal
sources,
but
training
process
computational
cost
high.
combines
multiple
models
improve
stability.
By
comparing
these
algorithms,
clarify
adaptability
different
scenarios.
Facing
observation
affected
many
factors.
unbalanced
leads
differences
rates
areas.
Spatiotemporal
heterogeneity
means
that
vary
geographical
locations
over
time.
factors
jointly
macroeconomic
factors,
policy
regulatory
market
supply
demand
individual
resident
These
intertwined,
increasing
difficulty
analysis.
diversity
discuss
multi-source
fusion
technology,
aims
integrate
including
geographic
information
system
(GIS)
(Geographic
Information
System)
remote
sensing
images,
statistics
social
media
grid
management
requires
integration
format,
scale,
precision
spatiotemporal
resolution
through
preprocessing,
standardization
normalization.
should
not
only
ability
intelligent
extraction
related
also
uncertainty
redundancy
adapt
dynamic
needs
development.
We
elaborate
optimization
methods
for
sources.
Through
this
study,
find
play
vital
role
improving
enhancing
understanding
housing
conditions.
Algorithms
handle
spatial
economic
behind
rates.
future,
will
continue
deepen
processing,
building
decision
support,
strive
provide
smarter
more
accurate
solutions
sustainable
Land,
Год журнала:
2025,
Номер
14(4), С. 800 - 800
Опубликована: Апрель 8, 2025
In
the
urgent
context
of
global
climate
change
and
carbon
neutrality
goals,
effective
balance
regulation
is
critical
for
achieving
temperature
control
targets.
Metropolitan
areas
encounter
significant
challenges
in
emission
reduction,
energy
transition
advancement,
enhancement
sequestration
capabilities.
However,
traditional
analysis
methods
have
limitations
capturing
dynamic
changes
guiding
precise
regulation.
Therefore,
this
study
developed
a
dynamic–static
classification
system
based
on
Ecological
Support
Coefficient
(ESC)
Economic
Contributive
(ECC).
This
examined
emissions
China’s
14
national-level
metropolitan
from
2000
to
2020.
The
results
showed
that:
(1)
Carbon
an
increasing
trend,
exhibiting
spatial
distribution
with
higher
levels
north,
moderate
central
region,
lowest
southeast.
contrast,
exhibited
pattern
east,
lower
west.
(2)
Static
revealed
that
ECC
ESC
northern
regions
were
relatively
weaker
than
those
other
regions.
Dynamic
further
upward
trend
economic
ecological
capabilities
these
areas.
along
coast
within
Yangtze
River
Belt
needed
optimize
their
economic–ecological
coordination
efficiency.
Although
southern
coastal
demonstrated
robust
vitality,
they
encountered
support
pressures.
(3)
development
level
environmental
quality
predominant
factors
area
classification.
Regions
tended
exhibit
enhanced
ESC,
while
stronger
prioritized
growth.
provided
solid
scientific
basis
formulating
differentiated
low-carbon
transformation
strategies,
thereby
supporting
high-quality
maintaining
between
ecologic
objectives.
Moreover,
it
offered
both
theoretical
foundations
practical
guidance
optimizing
sustainable
pathways
similar
globally.
Land,
Год журнала:
2024,
Номер
13(10), С. 1717 - 1717
Опубликована: Окт. 20, 2024
Land
use
change
has
always
been
a
significant
factor
affecting
global
carbon
emissions.
Dissecting
the
characteristics
of
territorial
space
evolution
and
its
impact
on
emissions
is
crucial
for
developing
low-carbon-oriented
optimization
governance
strategies.
This
paper
calculates
associated
with
spaces
in
Qingdao
from
2000
to
2020,
utilizing
land
data
alongside
various
statistical
data.
Based
accounting
results,
their
corresponding
emissions,
as
well
transition
dynamics
resulting
transfer,
are
analyzed.
A
decomposition
formula
then
proposed
quantify
differential
spatially
heterogeneous
impacts
changes
types
socio-economic
development
The
results
indicate
that:
(1)
during
2000–2020
characterized
by
an
expansion
living
contraction
production
ecological
spaces;
(2)
net
rose
313.98
×
104
tons
1068.58
tons,
urban
contributing
most
(69.96%
2020)
due
significantly
high
emission
density.
spatial
distribution
exhibited
stable
“northwest–southeast”
pattern,
increased
dispersion
weakened
directionality;
(3)
transformation
promoted
Qingdao,
conversion
other
uses
yielding
favorable
transitions,
while
expropriation
agricultural
residents’
resulted
detrimental
transitions;
(4)
shapes
overarching
pattern
regional
density
changes,
whereas
transfers
account
local
variations.
also
identifies
priorities
key
sectors
reduction.
findings
contribute
deeper
understanding
consequences
thereby
providing
valuable
insights
planning
aimed
at
promoting
low-carbon
development.
