Investigating 2D/3D factors influencing surface urban heat islands in mountainous cities using explainable machine learning
Urban Climate,
Год журнала:
2025,
Номер
59, С. 102325 - 102325
Опубликована: Янв. 30, 2025
Язык: Английский
Critical Evaluation of the Spatiotemporal Behavior of UHI, through Correlation Analyses based on Multi-City Heterogeneous Dataset
Sustainable Cities and Society,
Год журнала:
2024,
Номер
110, С. 105576 - 105576
Опубликована: Июнь 5, 2024
Язык: Английский
The Impact of Spatiotemporal Effect and Relevant Factors on the Urban Thermal Environment Through the XGBoost-SHAP Model
Land,
Год журнала:
2025,
Номер
14(2), С. 394 - 394
Опубликована: Фев. 13, 2025
The
urban
thermal
environment
is
a
critical
topic
in
contemporary
studies.
However,
the
mechanisms
driving
relationships
between
influencing
factors
and
across
different
spatial
scales
temporal
dimensions
remain
unclear,
particularly
as
most
of
these
exhibit
nonlinearity.
This
study
utilizes
XGBoost
SHAP
models,
combined
with
partial
dependency
plot,
to
analyze
influence
population
activities,
built
environment,
topography,
ecological
climatic
conditions,
landscape
pattern
on
diurnal
nocturnal
land
surface
temperature
(LST)
changes
rural
areas
Hangzhou
throughout
year.
results
indicate
that
during
daytime,
topography
exerts
strong
LST
both
Hangzhou.
At
nighttime,
activities
becomes
more
pronounced.
Meanwhile,
patterns
show
no
significant
impact
either
or
areas,
regardless
daytime
nighttime.
Additionally,
we
analyzed
specific
nonlinear
LST.
Finally,
our
findings
suggest
can
interact
synergistically
pairs
affect
LST,
this
mechanism
being
prominent
areas.
Overall,
categorizes
examines
contributing
from
perspectives,
providing
insights
for
developing
planning
strategies
mitigate
heat
issues
future.
Язык: Английский
Exploring the Effects of Urban Morphology and its Spatial Heterogeneity on Lst: A Quantitative Analysis of Seasonal and Diurnal Variations
Yarui Wu,
Rui Li,
Hu Tian
и другие.
Опубликована: Янв. 1, 2025
Язык: Английский
Development and Validation of a Heat Resilience Index: Measuring Communities Resilience to Extreme Heat Events
Journal of Urban Planning and Development,
Год журнала:
2024,
Номер
150(4)
Опубликована: Июль 18, 2024
Язык: Английский
Investigating the influence of land cover on land surface temperature
Advances in Space Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 1, 2024
Язык: Английский
Providing support for urban planning through investigating the cooling influence of park in Northern China: A case study of Xi'an
Urban Climate,
Год журнала:
2024,
Номер
58, С. 102221 - 102221
Опубликована: Ноя. 1, 2024
Язык: Английский
The Role of Subsurface Changes and Environmental Factors in Shaping Urban Heat Islands in Southern Xinjiang
Remote Sensing,
Год журнала:
2024,
Номер
16(21), С. 4089 - 4089
Опубликована: Ноя. 1, 2024
The
urban
heat
island
(UHI)
effect
is
one
of
the
most
prominent
surface
climate
changes
driven
by
human
activities.
This
study
examines
UHI
characteristics
and
influencing
factors
in
Southern
Xinjiang
agglomeration
using
MODIS
satellite
data
combined
with
observational
datasets.
Our
results
reveal
a
significant
increase
impervious
surfaces
region
between
1995
2015,
rapid
expansion
occurring
from
2010
to
2015.
primary
driver
intensity.
analysis
2000
2015
shows
substantial
spatial
variation
effects
across
cities.
Hotan
recorded
highest
annual
average
daytime
intensity
3.7
°C,
while
Aksu
exhibited
lowest
at
approximately
1.6
°C.
Daytime
generally
increased
during
period,
intensities
observed
summer.
However,
nighttime
trends
varied
cities,
showing
an
Temperature,
precipitation,
aerosol
optical
depth
(AOD)
were
identified
as
main
intensity,
PM10
concentration
showed
weak
inconsistent
correlation
varying
city
season.
Язык: Английский
Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones
Remote Sensing,
Год журнала:
2024,
Номер
16(22), С. 4342 - 4342
Опубликована: Ноя. 20, 2024
The
urban
heat
island
(UHI)
effect,
a
significant
environmental
challenge
within
the
global
urbanization
process,
poses
severe
threats
to
human
health,
ecological
security,
and
life
safety
while
also
impacting
achievement
of
United
Nations
Sustainable
Development
Goals.
This
study
proposes
multi-scenario
optimization
method
for
thermal
environments
based
on
local
climate
zones
(LCZs)
in
Changsha
City.
research
employs
genetic
algorithm
optimize
LCZ
quantity
structure
order
improve
temperature
environment.
Subsequently,
optimized
is
integrated
with
future
land
use
simulation
(FLUS)
model
under
constraints
achieve
optimal
spatial
distribution
LCZs,
providing
scientific
guidance
planning
decision-makers.
Results
demonstrate
that
LCZ-based
can
effectively
regulate
environment
maintain
suitable
range,
offering
both
theoretical
foundation
practical
mitigating
UHI
effects.
Язык: Английский