Urban
heat
island
(UHI)
is
a
widely
concerned
urban
climate
which
impacts
billions
of
residents
worldwide.
Nevertheless,
inadequate
rigorous
air
temperature
measurement
has
become
an
obstacle
to
UHI
research
and
mitigation,
especially
in
megacities
like
Beijing.
In
this
study,
we
applied
1-km
hourly
dataset
interpolated
from
records
521
stations
The
enables
us
analyze
patterns
on
block
scale
the
landscapes
combined
with
local
zones
(LCZ)
scheme.
Our
results
indicate
that:
(1)
its
temporal
variation
each
LCZ
vary
significantly,
are
highly
relevant
their
morphology
thermal-radiative
properties.
(2)
1
2
have
highest
nocturnal
intensities
(UHII).
Discrepancies
among
LCZs
also
cause
various
variations
UHII.
(3)
spatial
pattern
affects
regional
temperature.
Area
ratio
aggregation
extent
1&2
show
significant
positive
correlations
temperature,
while
A&D&G
opposite
regularity.
(4)
Distinct
mitigation
strategies
put
forward
for
subarea
Beijing
endowments
population
structure.
study
provides
insight
into
plausible
advice
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
106, P. 105389 - 105389
Published: March 28, 2024
Urban
heat
island
(UHI)
is
a
widely
concerned
urban
climate
which
impacts
billions
of
residents
worldwide.
Nevertheless,
inadequate
rigorous
air
temperature
(Tair)
measurement
has
become
an
obstacle
to
UHI
research
and
mitigation,
especially
in
megacities
like
Beijing.
In
this
study,
we
applied
1-km
hourly
Tair
dataset
interpolated
from
records
521
stations
The
enables
us
analyze
patterns
on
block
scale
the
landscapes
combined
with
local
zones
(LCZ)
scheme.
Our
results
indicate
that:
(1)
its
temporal
variation
each
LCZ
vary
significantly,
are
highly
relevant
their
morphology
thermal-radiative
properties.
(2)
1
2
have
highest
nocturnal
intensities
(UHII).
Discrepancies
among
LCZs
also
cause
various
variations
UHII.
(3)
spatial
pattern
affects
regional
temperature.
Area
ratio
aggregation
extent
1&2
show
significant
positive
correlations
temperature,
while
A&D&G
opposite
regularity.
(4)
Distinct
mitigation
strategies
put
forward
for
subarea
Beijing
endowments
population
structure.
study
provides
insight
into
plausible
advice
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 4109 - 4109
Published: May 14, 2024
Urbanisation
is
a
significant
driver
of
global
climate
change.
It
increases
temperatures,
impacting
the
health
residents.
To
date,
research
on
urban
heat
environments
has
focused
society
or
ecology,
overlooking
value
integrating
two
factors.
The
objective
to
integrate
socio-ecological
benefits,
explore
construction
methods
ecological-cooling
networks,
and
provide
reasonable
guidance
for
planning,
thus
contributing
alleviation
risks
improving
thermal
comfort.
Using
Fuzhou
as
an
example,
environmental
risk
framework
was
used
construct
environment
assessment
strategy
based
hazards
(thermal
comfort),
exposure
(human-development
footprint),
vulnerability
(natural
geographic
conditions).
source
area
identified
evaluation
results,
ecological
network
constructed
using
circuit
theory,
key
nodes
were
identified.
Results
showed
that
in
2005
2020,
3%
12%
areas
had
higher
risks,
proportion
low-risk
43%
28%,
respectively.
In
sum,
54
locations,
124
corridors,
76
pinch
points,
110
obstacle
12
stepping
stones
during
corridors
2020.
Compared
with
2005,
decreased
by
1622.46
km2
average
length
corridor
also
4.69
km.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(23), P. 4496 - 4496
Published: Nov. 30, 2024
The
urban
heat
island
(UHI)
effect,
marked
by
higher
temperatures
in
areas
compared
to
rural
ones,
is
a
key
indicator
of
human-driven
environmental
changes.
This
study
aims
identify
the
morphological
parameters
that
primarily
contribute
development
surface
intensity
(SUHII)
and
investigates
relationship
between
SUHII
morphology
using
land
temperature
(LST)
data
from
Sentinel-3
satellite.
research
focuses
on
Milan
Lecce,
analyzing
how
geometry
affects
SUHII.
Factors
such
as
building
height,
aspect
ratio,
sky
visibility,
cover
are
examined
approximately
1000
satellite
images
2022
2023.
highlights
seasonal
diurnal
variations
SUHII,
with
particular
emphasis
HW
periods.
Through
multicollinearity
multiple
regression
analyses,
identifies
main
drivers
influencing
two
cities,
specifically
Impervious
Surface
Fraction
(ISF)
Mean
Building
Height
(HM).
consistently
exhibits
particularly
during
HWs,
while
Lecce
experiences
negative
especially
summer,
due
lower
density,
more
vegetation,
low
soil
moisture
around
area.
Both
cities
show
positive
values
at
night,
which
slightly
elevated
HWs.
wave
analysis
reveals
most
susceptible
overheating,
typically
characterized
high
ISF
HM
some
cases
above
90th
percentile
(0.8
13.0
m,
respectively)
overall
distribution,
for
Milan.
emphasizes
importance
suggesting
detailed
crucial
developing
climate
adaptation
planning
strategies
reduce
overheating
improve
resilience
change.
