Exploring the relationship between urban green development and heat island effect within the Yangtze River Delta Urban Agglomeration
Zhanyu Liu,
No information about this author
S.Y. Zhang
No information about this author
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106204 - 106204
Published: Feb. 1, 2025
Language: Английский
Decoding spatial patterns of urban thermal comfort: Explainable machine learning reveals drivers of thermal perception
Environmental Impact Assessment Review,
Journal Year:
2025,
Volume and Issue:
114, P. 107895 - 107895
Published: March 5, 2025
Language: Английский
Valuation of the 2020 Gross Ecosystem Product of China and Analysis of Driving Factors
Kairui Li,
No information about this author
Hong Fan,
No information about this author
Jiani Ouyang
No information about this author
et al.
Journal of Cleaner Production,
Journal Year:
2025,
Volume and Issue:
unknown, P. 145741 - 145741
Published: May 1, 2025
Language: Английский
Spatiotemporal characteristics and robustness analysis of the thermal network in Beijing, China
Xiang Cao,
No information about this author
Fei Feng,
No information about this author
Chengyang Xu
No information about this author
et al.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
unknown, P. 106092 - 106092
Published: Dec. 1, 2024
Language: Английский
Examining urban agglomeration heat island with explainable AI: An enhanced consideration of anthropogenic heat emissions
Tianyu Sheng,
No information about this author
Zhixin Zhang,
No information about this author
Zhen Qian
No information about this author
et al.
Urban Climate,
Journal Year:
2024,
Volume and Issue:
59, P. 102251 - 102251
Published: Dec. 20, 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