Land,
Год журнала:
2024,
Номер
13(10), С. 1626 - 1626
Опубликована: Окт. 7, 2024
Understanding
the
driving
mechanisms
behind
surface
urban
heat
island
(SUHI)
effects
is
essential
for
mitigating
degradation
of
thermal
environments
and
enhancing
livability.
However,
previous
studies
have
primarily
concentrated
on
central
areas,
lacking
a
comprehensive
analysis
entire
metropolitan
area
over
distinct
time
periods.
Additionally,
most
relied
regression
models
such
as
ordinary
least
squares
(OLS)
or
logistic
regression,
without
adequately
analyzing
spatial
heterogeneity
factors
influencing
effects.
Therefore,
this
study
aims
to
explore
in
Guangzhou-Foshan
across
different
The
Local
Climate
Zones
(LCZs)
method
was
employed
analyze
landscape
characteristics
structure
metropolis
years
2013,
2018,
2023.
Furthermore,
Geographically
Weighted
Regression
(GWR),
Multi-scale
(MGWR),
Geographical
Detector
(GD)
were
utilized
investigate
interactions
between
(land
cover
factors,
environmental
socio-economic
factors)
Surface
Urban
Heat
Island
Intensity
(SUHII),
maximizing
explanation
SUHII
all
Three
main
findings
emerged:
First,
exhibited
significant
heterogeneity,
with
non-linear
relationship
SUHII.
Second,
SUHI
displayed
core-periphery
pattern,
Large
lowrise
(LCZ
8)
compact
3)
areas
showing
highest
levels
core
zones.
Third,
land
emerged
influential
metropolis.
These
results
indicate
that
exhibit
notable
varying
negative
can
be
leveraged
mitigate
locations.
Such
offer
crucial
insights
future
policy-making.
Journal of Urban Planning and Development,
Год журнала:
2024,
Номер
150(2)
Опубликована: Янв. 17, 2024
The
surface
urban
heat
island
(SUHI)
phenomenon,
predominantly
influenced
by
factors
associated
with
the
built-up
environment,
is
prominent
in
large
metropolitan
areas.
To
effectively
mitigate
escalating
thermal
environment
challenges
arising
during
cities'
developmental
planning,
rigorously
examining
spatial
interdependencies
between
and
SUHI
phenomenon
imperative.
Employing
Beijing's
primary
area
as
a
case
study,
this
research
addresses
gap
systematic
analysis
of
correlations
within
effect
domain.
study
leverages
Landsat-8
satellite
data
spanning
2016–2020,
Sentinel-2
land-use
classification
data,
2020
digital
elevation
model
(DEM)
integrating
them
geospatial
processing
techniques
to
probe
multifaceted
associations
1
×
1-km
grid-based
local-scale
model.
This
investigation
distinguished
developing
Comprehensive
Built-up
Environment
System
Index,
synthesized
through
multisource
multidimensional
methodologies.
culminates
following
key
findings:
(1)
Between
2016
2020,
manifested
an
ascending
spiral
trend
effect,
morphology
exhibiting
nonuniformity
across
four
seasons.
(2)
In
historical
summer
scenarios
area,
architectural
roadway
environments
demonstrated
consistently
positive
correlation
effect.
(3)
Excluding
average
number
floors
parameter,
all
remaining
parameters
exhibited
significant
association
fluctuations.
Atmosphere,
Год журнала:
2023,
Номер
14(10), С. 1499 - 1499
Опубликована: Сен. 28, 2023
Anthropogenic
heat
(AH)
emissions
have
great
impacts
on
urban
climate.
AH
is
usually
spatially
heterogeneous
and
depends
the
land
use
type.
Studies
using
high-resolution
gridded
data
that
can
resolve
are
still
scarce.
The
present
study
uses
of
a
high
spatial
resolution
200
m
by
temporal
1
h
to
investigate
impact
in
Singapore
April
2016,
particularly
regarding
relative
contribution
individual
components.
WRF
model
coupled
with
single-layer
canopy
employed.
predict
2-m
air
temperature
humidity
good
agreement
observation
data,
while
simulated
10-m
wind
speed
has
relatively
large
deviation
from
data.
largest
averaged
increases
caused
total
(QF),
buildings
(QB)
traffic
(QV)
1.44
°C,
°C
1.35
respectively.
effects
sensible
flux
boundary
layer
height
largely
consistent,
both
QF
QB
exhibiting
significant
at
night,
QV
small.
effect
local
circulations
(sea
breezes)
small,
its
island
(UHI)
more
pronounced.
Due
UHI
circulations,
sum
temperatures
may
exceed
some
areas.
This
finding
guide
comprehensive
mitigation
measures
not
only
focusing
type
but
also
components,
order
ameliorate
overheating.
Urban and Regional Planning Review,
Год журнала:
2024,
Номер
11(0), С. 22 - 44
Опубликована: Янв. 1, 2024
Urban
heat
islands
(UHIs)
are
a
global
phenomenon
of
concern,
especially
in
megacities
such
as
Bangkok
and
Thailand.
Addressing
UHI
effects
requires
an
understanding
their
connection
to
urban
spatial
structures,
with
ventilation
playing
crucial
role.
This
study
compared
the
characteristics
Bangkok's
Yaowarat
Ratchadamri
central
business
districts
(CBDs).
Utilizing
2022
field
measurements,
analysis,
computational
fluid
dynamics
(CFD)
simulations,
this
examined
key
factors
influencing
ventilation,
primarily
wind
velocity
open
space
ratio
within
100-meter
radius.
Each
CBD
exhibits
distinct
that
attributable
its
unique
topography.
Yaowarat,
characterized
by
compact
low-to
mid-rise
buildings,
manifests
poorer
than
Ratchadamri,
high-rise
structures
complemented
spaces,
which
is
consistent
across
both
methods.
recorded
(WV)
levels
below
1
m/s,
while
typically
registered
WV
exceeding
m/s.
However,
areas
still
exhibited
suboptimal
required
improvements
WV.
highlighted
significance
climatology
Thailand,
raised
stakeholder
awareness,
emphasized
value
combining
measurements
CFD
simulations
inform
planning
decisions
for
adapting
related
UHIs.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 10, 2024
Over
the
past
two
decades,
joint
manifestation
of
global
warming
and
rapid
urbanization
has
significantly
increased
occurrence
heatwaves
formation
urban
heat
islands
in
temperate
cities.
Consequently,
this
synergy
amplified
frequency
duration
periods
with
tropical
nights
(TNs)
these
areas.
While
occurrences
such
extreme
events
demonstrate
irregular
nonlinear
annual
patterns,
they
consistently
manifest
a
discernible
rising
decadal
trend
local
or
regional
climatic
data.
In
regions
situated
amidst
hilly
mountainous
landscapes,
changing
wind
directions—often
associated
uphill
downhill
thermal
flows—profoundly
impact
spread
dispersion
heat-related
pollution,
creating
unique
natural
ventilation
patterns.
Using
Lausanne/Pully
area
Switzerland
as
examples
lakeshore
cities,
study
explores
influence
patterns
on
nonlinearity
recorded
data
within
an
environment.
This
integrates
mesoscale
numerical
weather
prediction
model
(COSMO-1),
microscale
Computational
Fluid
Dynamics
(CFD)
model,
field
observations,
variational
mode
decomposition
technique,
statistical
analysis
to
investigate
how
speed
direction
critically
long-term
trends
events,
specifically
focusing
TNs
The
results
strongly
indicate
direct
correlation
between
specific
moderate
These
are
exclusively
captured
by
CFD
unlike
which
neglects
both
morphology
complex
terrains.
temporal
spatial
variability
observations
at
fixed
measurement
stations
suggests
that
caution
should
be
exercised
when
relying
limited
points
monitor
quantify
climate
trends,
particularly
cities
located
Land,
Год журнала:
2024,
Номер
13(10), С. 1626 - 1626
Опубликована: Окт. 7, 2024
Understanding
the
driving
mechanisms
behind
surface
urban
heat
island
(SUHI)
effects
is
essential
for
mitigating
degradation
of
thermal
environments
and
enhancing
livability.
However,
previous
studies
have
primarily
concentrated
on
central
areas,
lacking
a
comprehensive
analysis
entire
metropolitan
area
over
distinct
time
periods.
Additionally,
most
relied
regression
models
such
as
ordinary
least
squares
(OLS)
or
logistic
regression,
without
adequately
analyzing
spatial
heterogeneity
factors
influencing
effects.
Therefore,
this
study
aims
to
explore
in
Guangzhou-Foshan
across
different
The
Local
Climate
Zones
(LCZs)
method
was
employed
analyze
landscape
characteristics
structure
metropolis
years
2013,
2018,
2023.
Furthermore,
Geographically
Weighted
Regression
(GWR),
Multi-scale
(MGWR),
Geographical
Detector
(GD)
were
utilized
investigate
interactions
between
(land
cover
factors,
environmental
socio-economic
factors)
Surface
Urban
Heat
Island
Intensity
(SUHII),
maximizing
explanation
SUHII
all
Three
main
findings
emerged:
First,
exhibited
significant
heterogeneity,
with
non-linear
relationship
SUHII.
Second,
SUHI
displayed
core-periphery
pattern,
Large
lowrise
(LCZ
8)
compact
3)
areas
showing
highest
levels
core
zones.
Third,
land
emerged
influential
metropolis.
These
results
indicate
that
exhibit
notable
varying
negative
can
be
leveraged
mitigate
locations.
Such
offer
crucial
insights
future
policy-making.
