International Journal of Climatology,
Journal Year:
2024,
Volume and Issue:
45(1)
Published: Nov. 19, 2024
ABSTRACT
Urban
areas
experience
the
impact
of
natural
disasters,
such
as
heatwaves
and
flash
floods,
disparately
in
different
neighbourhoods
across
a
city.
The
demand
for
precise
urban
hydrometeorological
hydroclimatological
modelling
to
examine
this
disparity,
interacting
challenges
posed
by
climate
change
urbanisation,
has
thus
surged.
Weather
Research
Forecasting
(WRF)
model
served
operational
research
purposes
decades.
Recent
advancements
WRF,
including
enhanced
numerical
schemes
sophisticated
atmospheric‐hydrological
parameterizations,
have
empowered
simulation
geophysical
processes
at
high
resolution
(~1
km),
but
even
misses
significant
microclimate
variability.
This
study
applies
large‐eddy
simulations
(LES)
mode
within
coupled
with
single‐layer
canopy
models
(SLUCM),
enable
finer‐scale
(150
m)
Heat
Island
(UHI)
effect
Baltimore
metropolitan
area.
We
run
nine
scenarios
evaluate
various
methods
initializing
soil
moisture
spinup
lead
times,
assess
WRF's
Mosaic
approach
depicting
subgrid‐scale
processes.
comparing
WRF
simulated
land
surface
temperature
(LST)
against
Landsat
LST
hourly
2‐m
air
temperatures
(AT)
observations
from
eight
weather
stations
domain.
Results
underscore
paramount
influence
time
on
spatiotemporal
distribution
moisture,
consequently
shaping
efficacy
predicting
UHI.
Furthermore,
interpolating
moisture‐related
parameters
parent
child
domain
initialization
yields
notable
reduction
mean
root‐mean‐squared
errors.
improvement
was
particularly
evident
longest
time,
affirming
importance
carefully
designing
improved
predictions.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(1), P. 40 - 40
Published: Jan. 2, 2025
In
order
to
assess
the
spatial
and
temporal
characteristics
of
urban
thermal
environment
in
Zhengzhou
City
supplement
climate
adaptation
design
work,
based
on
Landsat
8–9
OLI/TIRS
C2
L2
data
for
12
periods
from
2019–2023,
combined
with
lLocal
zone
(LCZ)
classification
subsurface
classification,
this
study,
we
used
statistical
mono-window
(SMW)
algorithm
invert
land
surface
temperature
(LST)
classify
heat
island
(UHI)
effect,
analyze
differences
distribution
environments
areas
aggregation
characteristics,
explore
influence
LCZ
landscape
pattern
temperature.
The
results
show
that
proportions
built
natural
types
Zhengzhou’s
main
metropolitan
area
are
79.23%
21.77%,
respectively.
most
common
landscapes
wide
mid-rise
(LCZ
5)
structures
large-ground-floor
8)
structures,
which
make
up
21.92%
20.04%
study
area’s
total
area,
varies
seasons,
pooling
during
summer
peaking
winter,
strong
or
extremely
islands
centered
suburbs
a
hot
cold
spots
aggregated
observable
features.
As
building
heights
increase,
UHI
1–6)
increases
then
reduces
spring,
summer,
autumn
decreases
winter
as
increase.
Water
bodies
G)
dense
woods
A)
have
lowest
effects
among
settings.
Building
size
is
no
longer
primary
element
affecting
LST
buildings
become
taller;
instead,
connectivity
clustering
take
center
stage.
Seasonal
variations,
variations
types,
responsible
area.
should
see
an
increase
vegetation
cover,
gaps
must
be
appropriately
increased.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(6), P. 1883 - 1883
Published: June 20, 2024
With
rapid
urbanization,
many
cities
have
experienced
significant
changes
in
land
use
and
cover
(LULC),
triggered
urban
heat
islands
(UHI),
increased
the
health
risks
of
citizens’
exposure
to
UHI.
Some
studies
recognized
residents’
inequitable
UHI
intensity.
However,
few
discussed
spatiotemporal
heterogeneity
environmental
justice
countermeasures
for
mitigating
inequalities.
This
study
proposed
a
novel
framework
that
integrates
population-weighted
model
assessing
adjusted
thermal
comfort
(TCEa)
weighted
regression
(STWR)
analyzing
countermeasures.
can
facilitate
capturing
heterogeneities
response
TCEa
three
specified
land-surface
built-environment
parameters
(i.e.,
enhanced
vegetation
index
(EVI),
normalized
difference
built-up
(NDBI),
modified
water
(MNDWI)).
Using
this
framework,
we
conducted
an
empirical
area
Fuzhou,
China.
Results
showed
high
was
mainly
concentrated
locations
with
dense
populations
industrial
regions.
Although
TCEa’s
responses
various
differed
at
over
time,
illustrated
overall
negative
correlations
EVI
MNDWI
while
positive
NDBI.
Many
exciting
spatial
details
be
detected
from
generated
coefficient
surfaces:
(1)
The
influences
NDBI
on
may
magnified,
especially
rapidly
urbanizing
areas.
Still,
they
diminish
some
extent,
which
related
reduction
building
construction
activities
caused
by
COVID-19
epidemic
gradual
improvement
urbanization.
(2)
decline,
correlated
population
increase.
(3)
Compared
NDBI,
had
more
continuous
stable
cooling
effects
TCEa.
Several
mitigation
strategies
based
heterogeneous
relationships
also
emanated.
effectiveness
presented
verified.
It
help
analysts
effectively
evaluate
local
inequality
prompt
timely
efforts.
