Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(17), P. 3206 - 3206
Published: Aug. 30, 2024
The
surface
urban
heat
island
(SUHI)
phenomenon
has
become
increasingly
severe
due
to
the
combined
effects
of
global
warming
and
rapid
expansion,
difference
between
rural
thermal
environments
increased
significantly.
This
trend
profound
impacts
on
social,
economic,
ecological
environments.
Research
related
SUHI
achieved
fruitful
results;
however,
quantitative
research
methods
for
have
not
been
unified
with
standards
systems,
which
will
certainly
affect
comparability
results
research.
Few
studies
compared
multiple
methods.
Therefore,
we
designed
a
study
Yangtze
River
Delta
(YRD)
agglomeration
as
test
case
quantitatively
analyze
differences
in
different
contexts
based
five
It
was
found
that
(1)
there
were
significant
intensity
among
maximum
obtained
by
can
be
up
6
°C.
lowest
observed
during
day
urban–buffer
method,
at
night
urban–water
method.
(2)
Different
affected
distribution
areas
their
evolutionary
characteristics.
NHI
(no
island),
WCI
(weak
cold
WHI
island)
zones
larger,
proportions
exceeding
70%.
expansion
range
zone
daytime
mainly
west
north
YRD
agglomeration,
whereas
concentrated
center
south.
(3)
changes
using
significantly
different.
When
applied
municipal–nonmunicipal
methods,
most
cities
showed
an
upward
trend.
However,
when
other
applied,
exhibited
downward
owing
choice
greater
respect
values
summer
months
smaller
winter
months.
Geophysical Research Letters,
Journal Year:
2025,
Volume and Issue:
52(5)
Published: March 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.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
112, P. 105601 - 105601
Published: June 22, 2024
An
urban
heat
island
(UHI)
refers
to
a
metropolitan
area
significantly
warmer
than
its
rural
surroundings.
Accurately
quantifying
UHI
intensity
(UHII)
relies
on
selecting
appropriate
areas,
which
lack
universal
definition.
A
crucial
aspect
in
UHII
quantification
is
considering
the
spatial
extent
of
effect,
known
as
footprints
(UHIFP).
Here,
we
propose
framework
jointly
estimate
both
and
UHIFP,
integrating
latter
into
former.
Our
approach
involves
creating
12
equal-area
buffer
zones
around
each
boundary
initially
three
farthest
areas.
Using
seamless
1-km
daily
land
surface
temperature
dataset
Google
Earth
Engine,
constructe
exponential
decay
models
characterize
variations
along
urban-area
gradient
city
extract
UHIFP
from
these
models.
The
results
reveal
that
average
during
daytime
nighttime
are
2.6
2.7
times
size,
respectively,
predominantly
located
before
zones,
thereby
verifying
effectiveness
selected
areas
for
accurate
calculations.
This
critical
evaluating
risks
associated
with
extreme
heatwaves
stress.
It
also
provides
suggestions
mitigation
measures
an
urban-rural
perspective.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(3), P. e0300635 - e0300635
Published: March 18, 2024
Exploring
the
complex
relationship
between
population
change
and
surface
urban
heat
island
(SUHI)
effect
has
important
practical
significance
for
ecological
transformation
development
of
shrinking
cities
in
context
prevalence
shrinkage
global
climate
change.
This
paper
compares
SUHI
region
(Northeast
Region,
NR)
growing
(Yangtze
River
Delta,
YRD)
China,
explores
their
differences
driving
mechanisms,
using
GIS
spatial
analysis
Geodetector
model.
Our
results
indicated
that
there
are
significant
changes
intensity
these
two
regions.
About
72.22%
NR
were
shrinking,
while
intensities
increased
by
an
average
1.69°C.
On
contrary,
YRD
shows
a
linear
growth
trend,
decreased
0.11°C
on
average.
The
bivariate
Moran’s
I
index
also
correlation
not
above
Furthermore,
primary
drivers
variations
In
NR,
underlying
changes,
including
green
coverage
built-up
areas,
most
factors.
However,
atmospheric
environment
such
as
carbon
dioxide
emission
sulfur
emission,
key
YRD.
Northam’s
theory
three-stage
urbanization
environmental
Kuznets
curve
hypothesis
powerful
to
explain
differences.
