Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13306 - 13306
Published: Sept. 5, 2023
Exploring
carbon
emissions
in
Suzhou,
a
city
with
significant
heavy
industry
presence,
and
understanding
the
factors
that
influence
these
are
crucial
achieving
China’s
dual-carbon
goals
within
framework
of
global
climate
governance.
This
study
utilized
land
use
data
statistical
from
2008
to
2020
Suzhou.
The
emission
coefficient
method
was
employed
calculate
emissions,
while
GIS
technology
used
analyze
their
temporal
spatial
distribution,
as
well
risk.
Additionally,
LMDI
model
applied
investigate
contribution
influencing
TAPIO
decoupling
relationship
between
main
emissions.
yielded
following
findings:
(1)
From
2020,
changes
all
regions
Suzhou
obvious,
there
mutual
transformations
among
different
types.
(2)
overall
showed
an
upward
trend,
distribution
characterized
by
higher
northern
lower
southern
regions.
(3)
risk
pressure
index
too
large,
amount
absorption
is
seriously
out
balance,
resulting
imbalance.
(4)
Among
on
energy
intensity
exerted
strongest
negative
effect,
economic
growth
positive
effect.
(5)
Decoupling
analysis
generally
shifting
towards
strong
and,
except
for
Zhangjiagang,
other
have
good
development
model.
Based
research
findings,
this
paper
proposes
specific
suggestions
reducing
aiming
provide
actionable
recommendations
urban
areas
low-carbon
environmentally
sustainable
cities.
Land,
Journal Year:
2023,
Volume and Issue:
12(12), P. 2160 - 2160
Published: Dec. 13, 2023
With
regard
to
the
aims
of
achieving
“Dual
Carbon”
goal
and
addressing
significant
greenhouse
gas
emissions
caused
by
urban
expansion,
there
has
been
a
growing
emphasis
on
spatial
research
prediction
carbon
emissions.
This
article
examines
land
use
data
from
2000
2020
combines
Grid
PLUS
model
predict
in
2030
through
multi-scenario
simulation.
The
findings
indicate
following:
(1)
Between
2020,
construction
increased
95.83%,
with
also
increasing.
(2)
By
2030,
for
NDS
(natural
development
scenario),
are
expected
peak
at
6012.87
×
104
t.
Regarding
ratio
obtained
EDS
(economic
is
projected
grow
3990.72
km2,
6863.29
For
LCS
(low-carbon
“carbon
peak”
be
reached
before
2030.
(3)
intensity
decreases
as
city
size
increases.
(4)
shift
center
emission
all
movement
towards
southeast.
Studying
trends
regional
change
patterns
beneficial
optimizing
structure,
thereby
enabling
us
achieve
low-carbon
reductions
sustainable
development.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(3), P. 346 - 346
Published: Feb. 6, 2025
Ecosystem
service
value
(ESV)
reflects
ecosystem
functions
and
benefits;
however,
the
factors
influencing
ESV
mechanisms
driving
it
in
wetlands
non-wetlands
are
not
yet
fully
understood.
The
Yellow
River
Delta
(YRD)
is
distinguished
by
presence
of
numerous
wetland
areas
that
both
Reserve
non-Reserve
thus
was
selected
as
designated
study
area.
In
this
study,
spatiotemporal
structures
YRD
between
2000
2020
were
studied
using
land
cover
change
analysis
equivalent
factor
methodology.
addition,
we
analyzed
drivers
behind
geographical
variability
applying
Geographical
Detector
method.
results
showed
structure
National
Nature
relatively
stable,
whereas
area
exhibited
greater
fluctuations;
is,
decreased
11.43%
compared
with
more
stable
areas,
where
4.93%.
Furthermore,
disparities
distribution
use
types
gave
rise
to
a
discernible
spatial
overall
ESV,
northeast
exhibiting
significantly
higher
levels
southwest.
Additionally,
past
two
decades,
center
gravity
regions
has
shifted
towards
urban
centers,
have
migrated
coastline.
Normalized
Difference
Vegetation
Index
identified
main
driver
heterogeneity.
findings
highly
relevant
regional
ecological
conservation
promotion
economic
social
development.
Land,
Journal Year:
2024,
Volume and Issue:
13(10), P. 1717 - 1717
Published: Oct. 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.
