ISPRS International Journal of Geo-Information,
Journal Year:
2023,
Volume and Issue:
12(12), P. 482 - 482
Published: Nov. 28, 2023
Climate
change
is
expected
to
result
in
increased
occurrences
of
extreme
weather
events
such
as
heat
waves
and
cold
spells.
Urban
planning
responses
are
crucial
for
improving
the
capacity
cities
communities
deal
with
significant
temperature
variations
across
seasons.
This
study
aims
investigate
relationship
between
urban
fluctuations
morphology
throughout
four
Through
quadrant
statistical
analyses,
built-environment
factors
identified
that
moderate
or
exacerbate
seasonal
land
surface
temperatures
(LSTs).
The
focus
on
Seoul,
South
Korea,
a
case
study,
LST
values
calculated
at
both
grid
(100
m
×
100
m)
street
block
levels,
incorporating
vegetation
density,
use
patterns,
albedo,
two-
three-dimensional
building
forms,
gravity
indices
large
forests
water
bodies.
analysis
reveals
spatial
segregation
areas
demonstrating
high
adaptability
(cooler
summers
warmer
winters)
those
displaying
vulnerability
(hotter
colder
winters),
differences
forms.
Spatial
regression
analyses
demonstrate
higher
density
proximity
bodies
play
key
roles
moderating
LSTs,
leading
cooler
winters.
Building
characteristics
have
constant
impact
LSTs
all
seasons:
horizontal
expansion
increases
LST,
while
vertical
reduces
LST.
These
findings
consistent
grid-
block-level
analyses.
emphasizes
flexible
role
natural
environment
temperatures.
International Journal of Applied Earth Observation and Geoinformation,
Journal Year:
2024,
Volume and Issue:
132, P. 104067 - 104067
Published: Aug. 1, 2024
It
is
crucial
to
clarify
the
nonlinear
effects
of
urban
multidimensional
characteristics
on
land
surface
temperature
(LST).
However,
combined
consideration
green
space
(UGS),
water
bodies,
buildings,
and
socio-economic
factors
limited.
And
diurnal
differences
in
their
thermal
have
been
less
considered.
In
this
study,
central
Beijing
was
taken
as
study
area.
Local
climate
zones
(LCZ)
were
firstly
applied
reveal
spatiotemporal
heterogeneity
LST.
Then,
interpretable
machine
learning
methods
utilized
quantitatively
characteristics,
i.e.,
UGS,
building
landscape
features,
features.
The
results
indicated
that
built
type
LCZs
a
higher
average
LST
compared
natural
LCZs.
simultaneously
influenced
by
buildings'
density
height
characteristics.
Daytime
mainly
affected
proportions
trees,
while
nighttime
more
key
exhibit
Whether
during
day
or
night,
impact
coverage
greater
than
height,
consistently
exhibiting
warming
effect.
While,
body
edge
both
exhibited
reversal
trend
between
night.
Our
also
emphasized
importance
trees
UGS
provided
recommendations
for
planning
based
sensitivity
contribution
considerations.
These
findings
can
help
regulate
promote
sustainable
development.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e24912 - e24912
Published: Jan. 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.
