PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0317659 - e0317659
Опубликована: Янв. 27, 2025
The
increasing
population
density
and
impervious
surface
area
have
exacerbated
the
urban
heat
island
effect,
posing
significant
challenges
to
environments
sustainable
development.
Urban
spatial
morphology
is
crucial
in
mitigating
effect.
This
study
investigated
impact
of
on
land
temperature
(LST)
at
township
scale.
We
proposed
a
six-dimensional
factor
system
describe
morphology,
comprising
Atmospheric
Quality,
Remote
Sensing
Indicators,
Terrain,
Land
Use/Land
Cover,
Building
Scale,
Socioeconomic
Factors.
Spatial
autocorrelation
regression
methods
were
used
analyze
impact.
To
this
end,
township-scale
data
Linyi
City
from
2013
2022
collected.
results
showed
that
LST
are
significantly
influenced
by
with
strongest
correlations
found
factors
use
types,
landscape
metrics,
remote
sensing
indices.
global
Moran’s
I
value
exceeds
0.7,
indicating
strong
positive
correlation.
High-High
LISA
values
distributed
central
western
areas,
Low-Low
northern
regions
some
scattered
counties.
Geographically
Weighted
Regression
(GWR)
model
outperforms
Error
Model
(SEM)
Ordinary
Least
Squares
(OLS)
model,
making
it
more
suitable
for
exploring
these
relationships.
findings
aim
provide
valuable
references
town
planning,
resource
allocation,
Geophysical Research Letters,
Год журнала:
2025,
Номер
52(5)
Опубликована: Март 7, 2025
Abstract
Increasing
urbanization
causes
urban
heat
island
effects
that
might
introduce
significant
biases
into
global
warming
estimates.
Previous
studies
of
signals
and
asymmetries
remain
a
subject
debate.
Here
we
comprehensively
assess
urban‐induced
warmings
by
investigating
meteorological
temperatures
on
2,370
stations
in
China
during
1980–2022.
There
are
noticeable
annual
contributions
ranging
from
0.016
to
0.251°C
decade
−1
0.3%–72.4%,
primarily
due
spatiotemporal
heterogeneities
the
criteria
defining
sites.
Rapid
tends
exacerbate
diurnal
seasonal
asymmetries,
resulting
shrinking
temperature
differentials
associated
with
urbanized
areas
chronosequences.
This
study
underscores
specific
definition
matters
for
magnitude
complex
nonlinear
imprint
asymmetries.
Environment International,
Год журнала:
2023,
Номер
180, С. 108196 - 108196
Опубликована: Сен. 9, 2023
Significant
urbanization
resulted
in
increasing
surface
urban
heat
island
(SUHI)
that
caused
negative
impacts
on
ecological
environment,
and
residential
comfort.
Accurately
monitoring
the
spatiotemporal
variations
understanding
controls
of
SUHI
were
essential
to
propose
effective
mitigation
measurements.
However,
grades
across
global
cities
remained
unknown,
which
cloud
greatly
support
for
mitigations.
Additionally,
quantitative
evaluating
factor
weights
different
indicators
worldwide
further
investigations.
Therefore,
this
paper
proposed
grading
based
agglomerative
hierarchical
clustering,
quantified
an
interoperable
machine
learning
named
TabNet.
There
three
major
findings.
(1)
Global
grouped
into
five
grades,
including
SUCI
(surface
cool
island),
insignificant,
low-value,
medium-value,
high-value
indicating
significant
differences
among
grades.
showed
climate-based
variations,
wherein
arid
climate
was
dominated
by
grade
at
daytime
but
nighttime.
(2)
Vegetation
difference
important
SUHII
accounting
27%.
Daytime
frequency
controlled
vegetation
difference,
temperature,
evaporation
nighttime
light,
78%.
The
factors
albedo
45%.
(3)
Related
contributed
differently
various
weight
△EVI
gradually
increased
with
while
it
maximum
duration
decreased
low-value
affected
background
climate,
medium-value
strongly
impacted
anthropogenic
flux.
diurnal
contrast
coupling
effects
wave
discussed.
This
aimed
provide
information
proposal.
Heliyon,
Год журнала:
2024,
Номер
10(3), С. e24912 - e24912
Опубликована: Янв. 23, 2024
Previous
studies
have
provided
valuable
insights
into
the
impact
of
green
space
(GS)
on
land
surface
temperature
(LST).
However,
there
is
a
need
for
in-depth
comparative
research
changing
landscape
patterns
in
cities
and
their
effects
urban
thermal
environment.
This
study
investigates
spatial
arrangement
GS
influence
impervious
surfaces
LST
areas,
examining
cooling
warming
landscapes
Beijing
Islamabad.
The
aims
to
assess
using
moving
window
1
km2
analyze
overall
effect
Using
Gaofen
(GF–2)
Landsat–8
satellite
data,
we
examined
biophysical
properties
core
areas.
results
indicate
significant
difference
mean
5.44
°C
3.31
between
Islamabad,
respectively.
barren
Islamabad
experience
higher
3.39
compared
Beijing,
which
accounts
1.39
°C.
In
configuration
metrics
show
no
LST,
while
edge
density
(ED)
exhibits
slightly
negative
trend.
contrast,
city
shape
index
(LSI),
patch
(PD),
number
patches
(NP)
LST.
(0.1–0.5
ha)
more
pronounced,
that
15–20
ha
shows
(TD)
5.01
was
observed
from
3.3
Considering
Islamabad's
lush
scape
this
suggests
may
an
increase
future
due
urbanization.
study's
findings
assist
policy-makers
designing
sustainable
layouts
effectively
address
planning
considerations.
