Atmosphere,
Год журнала:
2024,
Номер
15(11), С. 1377 - 1377
Опубликована: Ноя. 15, 2024
In
the
context
of
sustainable
urban
development,
elucidating
heat
island
(UHI)
dynamics
in
arid
regions
is
crucial.
By
thoroughly
examining
characteristics
UHI
variations
and
potential
driving
factors,
cities
can
implement
effective
strategies
to
reduce
their
impacts
on
environment
public
health.
However,
factors
a
remain
unclear.
This
study
analyzed
seasonal
diurnal
surface
(SUHI)
using
Pearson’s
correlation
analysis
an
Optimal
Parameters-Based
Geographic
Detector
(OPGD)
model
22
Xinjiang,
northwest
China.
The
findings
reveal
that
average
annual
intensity
(SUHII)
values
Xinjiang’s
were
1.37
±
0.86
°C,
with
SUHII
being
most
pronounced
summer
(2.44
°C),
followed
by
winter
(2.15
spring
(0.47
autumn
(0.40
°C).
Moreover,
mean
was
stronger
at
nighttime
(1.90
°C)
compared
during
daytime
(0.84
observed
across
seasons.
disparity
Xinjiang
more
significant
(3.91
(0.39
SUHIIs
decreasing
from
winter.
also
highlights
city
size,
elevation,
vegetation
cover,
form,
socio-economic
(GDP
population
density)
emerged
as
key
drivers,
GDP
exerting
strongest
influence
Xinjiang.
To
mitigate
effects,
measures
like
enhancement
improving
conditions,
blue–green
space
landscape
optimization,
economic
strategy
adjustments
are
recommended.
Building and Environment,
Год журнала:
2024,
Номер
257, С. 111545 - 111545
Опубликована: Апрель 20, 2024
The
process
of
urbanization
exacerbates
the
urban
heat
island
phenomenon.
In
order
to
reasonably
identify
functional
zones,
and
reveal
influence
buildings
on
land
surface
temperature
(LST).
Guiyang,
a
multi-mountainous
city
in
China,
was
taken
as
research
area,
Open
Street
Map
(OSM)
use
type
data
were
used
zones.
Subsequently,
correlation
between
building
morphology
metrics
LST
analyzed
using
Pearson
boosted
regression
tree
(BRT)
model.
results
showed
that:
(1)
There
significant
differences
among
different
(2)
relative
contribution
value
density
(BD)
high,
it
significantly
exacerbated
effect
across
all
with
maximum
impact
reaching
2.5°C
Utility
zone.
(3)
Mean
height
(MBH),
Southerly
wind
speed
(S_Wind
speed)
Landscape
shape
index
(LSI_Building)
had
alleviating
thermal
environment,
mitigation
degree
highest
Residential
zone
Ecological
zone,
0.6°C,
0.8°C
2.0°C,
respectively.
This
study
enhances
our
understanding
relationship
functions
LST,
providing
valuable
insights
for
mitigating
environment
promoting
sustainable
development.
