Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9484 - 9484
Published: Oct. 31, 2024
To
provide
new
insights
into
the
integrated
management
of
carbon
and
heat
for
sustainable
urban
development,
this
study
systematically
investigates
complex
relationship
between
atmospheric
CO2
concentrations
land
surface
temperature
(LST).
Utilizing
OCO-2
OCO-3
satellite
observations,
combined
with
meteorological
conditions,
air
pollutants,
spatial
characteristics,
a
high-resolution
(0.1°
×
0.1°)
monthly
column
concentration
(XCO2)
dataset
China
spanning
2015
to
2022
was
generated
using
Random
Forest
algorithm.
The
focuses
on
agglomerations,
conducting
centroid
migration
coupling
analyses
XCO2
LST
elucidate
their
spatiotemporal
distribution
patterns
evolution.
Results
reveal
significant
seasonal
variations
in
XCO2,
which
has
exhibited
gradual
increase
over
years.
distributions
agglomerations
show
high
degree
consistency,
centroids
either
converging
or
following
similar
movement
trajectories.
Additionally,
coordination
improved
annually,
indicating
closer
interrelationship.
These
findings
enhance
our
understanding
climate
system
dynamics
essential
scientific
evidence
decision-making
support
addressing
change.
By
clarifying
connection
LST,
contributes
development
more
effective
strategies
reduction
island
mitigation,
thereby
advancing
cities
towards
greener,
lower-carbon,
pathways.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(6), P. 671 - 671
Published: May 31, 2024
With
the
ongoing
advancement
of
globalization
significantly
impacting
ecological
environment,
continuous
rise
in
Land
Surface
Temperature
(LST)
is
increasingly
jeopardizing
human
production
and
living
conditions.
This
study
aims
to
investigate
seasonal
variations
LST
its
driving
factors
using
mathematical
models.
Taking
Wuhan
Urban
Agglomeration
(WHUA)
as
a
case
study,
it
explores
characteristics
employs
Principal
Component
Analysis
(PCA)
categorize
factors.
Additionally,
compares
traditional
models
with
machine-learning
select
optimal
model
for
this
investigation.
The
main
conclusions
are
follows.
(1)
WHUA’s
exhibits
significant
differences
among
seasons
demonstrates
distinct
spatial-clustering
different
seasons.
(2)
Compared
geographic
spatial
models,
Extreme
Gradient
Boosting
(XGBoost)
shows
better
explanatory
power
investigating
effects
LST.
(3)
Human
Activity
(HA)
dominates
influence
throughout
year
positive
correlation
LST;
Physical
Geography
(PG)
negative
Climate
Weather
(CW)
show
similar
variation
PG,
peaking
transition;
Landscape
Pattern
(LP)
weak
LST,
winter
while
being
relatively
inconspicuous
summer
transition.
Finally,
through
comparative
analysis
multiple
constructs
framework
exploring
features
aiming
provide
references
guidance
development
WHUA
regions.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 623 - 623
Published: March 15, 2025
This
study
focuses
on
the
coupling
and
coordination
between
China’s
new-type
urbanization
(NU)
transportation
carbon
emission
efficiency
(CET),
revealing
its
spatial
temporal
evolution
patterns
driving
factors.
In
recent
years,
rapid
rise
of
digital
economy
has
profoundly
reshaped
traditional
industrial
structures.
It
catalyzed
new
forms
production
consumption
opened
up
pathways
for
reduction.
makes
synergies
NU
CET
increasingly
important
realizing
a
low-carbon
transition.
addition,
infrastructures
such
as
5G
networks
big
data
platforms
promote
energy
facilitate
upgrading.
also
promotes
integration
goals
into
urban
governance,
thus
strengthening
linkages
CET.
The
aims
to
provide
scientific
basis
regional
synergistic
development
green
transformation
goal
“dual
carbon”.
Based
panel
30
provinces
in
China
from
2004
2021,
adopts
entropy
weight
method
super-efficiency
SBM
model
quantify
CET,
then
analyzes
their
interactions
spillovers
by
combining
coupled
degree
Durbin
model.
following
is
found:
(1)
show
pattern
“leading
east
lagging
west”,
are
optimized
over
time,
but
with
significant
differences;
(2)
jumps
“basic
disorder”
coordination”,
not
yet
reached
level
advanced
coordination,
clustering
characteristics
(Moran’s
I
index
0.244
0.461);
(3)
labor
force
structure,
intensity,
structure
technological
innovation
core
factors
have
spillover
effects,
while
government
intervention
per
capita
income
limited
roles.
paper
innovatively
reveals
two-way
mechanism
breaks
through
unidirectional
research
framework,
systematically
feedback
effect
two.
A
multidimensional
evaluation
system
constructed
overcome
limitations
previous
single
economic
or
demographic
dimension,
comprehensively
portray
comprehensive
urbanization.
multi-dimensional
measurement
framework
proposed
law
perspective
spatio-temporal
dynamics
correlation.
paths
key
finally
quantified.
findings
decision-making
references
optimizing
policies,
promoting
transportation,
taking
advantage
economy.
Rapid
urbanization
in
China
has
exacerbated
the
urban
heat
island
(UHI)
effect,
posing
considerable
challenges
to
sustainability
and
public
health.
Most
UHI
studies
have
focused
on
impacts
of
two-dimensional
(2D)
urbanization,
which
involves
outward
city
expansion
increased
built-up
area.
However,
as
cities
mature,
they
typically
transition
from
horizontal
vertical
densification
(3D
urbanization),
leading
material
stock
density.
The
implications
this
shift
for
effect
remain
underexplored.
This
study
compared
2D
3D
urbanization-induced
across
384
Chinese
2000
2020,
using
impervious
surface
gridded
stocks.
Our
results
surprisingly
indicated
that
lost
explanatory
power
intensity
when
area
percentage
exceeded
87%.
Relative
importance
analysis
utilizing
a
random
forest
algorithm
revealed
population,
vegetation
abundance,
precipitation
significantly
moderated
effects
emphasizing
crucial
role
green
spaces
mitigating
thermal
stress.
examined
spatiotemporal
dynamics
China,
key
urbanization.
findings
highlight
urgent
need
incorporate
characteristics
devising
mitigation
strategies.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(9), P. e0307711 - e0307711
Published: Sept. 16, 2024
The
prolonged
dependence
on
industrial
development
has
accentuated
the
cumulative
effects
of
pollutants.
Simultaneously,
influenced
by
land
construction
activities
and
green
space
depletion,
Urban
Heat
Island
(UHI)
effect
in
cities
intensified
year
year,
jeopardizing
foundation
sustainable
urban
development.
Prudent
spatial
planning
holds
potential
to
robustly
ameliorate
persistent
deterioration
UHI
phenomenon.
This
study
selects
Jinan
City
as
a
case
employs
autocorrelation
regression
algorithms
explore
spatiotemporal
evolution
urban-rural
patterns
at
township
scale.
aim
is
identify
key
factors
driving
differentiation
Land
Surface
Temperature
(LST)
from
2013
2022.
research
reveals
trend
initially
rising
subsequently
falling
LST
various
townships,
with
low-temperature
concentration
areas
southern
mountainous
region
northern
plain
area.
"West-Central-East"
main
axis
southeast
Laiwu
District
exhibit
high-temperature
zones.
Significant
influences
are
attributed
pollution
levels,
topographical
factors,
urbanization
greenness.
global
Moran's
Index
for
exceeds
0.7,
indicating
strong
positive
correlation.
Cluster
analysis
results
indicate
High-High
(HH)
clustering
central
Shizhong
Low-Low
(LL)
Shanghe
County.
Multiscale
Geographically
Weighted
Regression
(MGWR)
outperforms
(GWR)
Ordinary
Linear
(OLR),
providing
more
accurate
reflection
relationships
between
variables.
By
investigating
its
scale,
this
contributes
insights
future
