Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend
Renfeng Wang,
No information about this author
Mengmeng Wang,
No information about this author
Chao Ren
No information about this author
et al.
Urban Climate,
Journal Year:
2024,
Volume and Issue:
57, P. 102129 - 102129
Published: Sept. 1, 2024
Language: Английский
Thermal hazards in urban spaces: A review of climate-resilient planning and design to reduce the heat stress
Aman Gupta,
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Bhaskar De,
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Sutapa Das
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et al.
Urban Climate,
Journal Year:
2025,
Volume and Issue:
59, P. 102296 - 102296
Published: Jan. 25, 2025
Language: Английский
Optimizing Urban Green Space Configurations for Enhanced Heat Island Mitigation: A Geographically Weighted Machine Learning Approach
Yue Zhang,
No information about this author
Jingtian Ge,
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Siyuan Wang
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et al.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
unknown, P. 106087 - 106087
Published: Dec. 1, 2024
Language: Английский
Decadal assessment of local climate utilizing meteorological analysis and observation data: Thermal environment changes in the Tokyo area
Xiang Wang,
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Hongyuan Jia,
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Keisuke Nakao
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et al.
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106138 - 106138
Published: Jan. 1, 2025
Language: Английский
Isolating Urban Form Impacts on Spatiotemporal Distribution of Surface Meteorology in Coastal Cities during Extreme Heat Events
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106242 - 106242
Published: Feb. 1, 2025
Language: Английский
Revealing the impact of urban land use patterns on land surface temperature through graph attention networks
Hongbin Xu,
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Siyi Zhang,
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Chong Wu
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et al.
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106369 - 106369
Published: April 1, 2025
Language: Английский
Impact of block morphology on urban thermal environment with the consideration of spatial heterogeneity
Chanjuan Wang,
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Zongmao Li,
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Yuan Su
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et al.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
113, P. 105622 - 105622
Published: July 2, 2024
Language: Английский
Rural heat island effect of centralized residences in China: Mitigation through localized measures
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
114, P. 105782 - 105782
Published: Aug. 28, 2024
Language: Английский
Spatiotemporal characteristics and robustness analysis of the thermal network in Beijing, China
Xiang Cao,
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Fei Feng,
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Chengyang Xu
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et al.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
unknown, P. 106092 - 106092
Published: Dec. 1, 2024
Language: Английский
Urban Heat Island Differentiation and Influencing Factors: A Local Climate Zone Perspective
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 9103 - 9103
Published: Oct. 21, 2024
With
the
acceleration
of
urbanization,
urban
heat
island
(UHI)
effect
has
become
a
major
environmental
challenge,
severely
affecting
quality
life
residents
and
ecological
environment.
Quantitative
analysis
factors
influencing
intensity
(UHII)
is
crucial
for
precise
planning.
Although
extensive
research
investigated
causes
UHI
effects
their
spatial
variability,
most
studies
focus
on
macro-scale
analyses,
overlooking
heterogeneity
thermal
characteristics
within
local
climate
zones
(LCZs)
under
rapid
urbanization.
To
address
this
gap,
study
took
central
area
Chengdu,
constructing
LCZ
map
using
multisource
remote
sensing
data.
Moran’s
Index
was
employed
to
analyze
clustering
across
different
LCZs.
By
Ordinary
Least
Squares
(OLS)
Geographically
Weighted
Regression
(GWR)
models,
further
explored
these
zones.
The
results
showed
that:
(1)
Chengdu’s
built
natural
environments
had
comparable
proportions,
with
scattered
building
zone
comprising
highest
proportion
at
22.12%
in
environment,
low
vegetation
accounting
21.8%
UHII
values
ranged
from
10.2
°C
−1.58
°C,
based
specific
measurement
conditions.
Since
varied
meteorological
conditions,
time,
seasons,
selection
rural
reference
points,
represented
dynamic
during
period
were
not
constant.
(2)
morphology
exhibited
significant
heterogeneity,
global
I
index
0.734,
indicating
high
degree
correlation.
value
found
impervious
surfaces
(0.776),
while
lowest
floor
ratio
(0.176).
(3)
GWR
model
demonstrated
greater
explanatory
power
compared
OLS
model,
fit
0.827.
impact
morphological
significantly
environments,
substantial
difference
observed
sky
view
factor,
which
standard
deviation
13.639.
findings
provide
recommendations
planning,
aiming
mitigate
enhance
residents.
Language: Английский