How to classify microclimates more validly and finely? A novel method for mapping local climate zone (LCZ) on micro-scales
Sustainable Cities and Society,
Год журнала:
2025,
Номер
120, С. 106165 - 106165
Опубликована: Янв. 24, 2025
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
Modeling the Impacts of Land Cover Changes on Subtropical Urban Microclimate and Mitigation Strategies in the Context of Urbanization
Building and Environment,
Год журнала:
2025,
Номер
unknown, С. 113064 - 113064
Опубликована: Апрель 1, 2025
Язык: Английский
Assessment of the impact of urban block morphological factors on carbon emissions introducing the different context of local climate zones
Sustainable Cities and Society,
Год журнала:
2024,
Номер
unknown, С. 106073 - 106073
Опубликована: Дек. 1, 2024
Язык: Английский
Urban Heat Island Differentiation and Influencing Factors: A Local Climate Zone Perspective
Sustainability,
Год журнала:
2024,
Номер
16(20), С. 9103 - 9103
Опубликована: Окт. 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.
Язык: Английский
Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data
Land,
Год журнала:
2024,
Номер
13(11), С. 1879 - 1879
Опубликована: Ноя. 10, 2024
With
rapid
urbanization,
the
urban
heat
island
(UHI)
effect
has
intensified,
posing
challenges
to
human
health
and
ecosystems.
This
study
explores
impact
of
sunlight
exposure
areas
artificial
structures
activities
on
land
surface
temperature
(LST)
in
Hefei
Xuzhou,
using
Landsat
9
data,
Google
imagery,
nighttime
light
Point
Interest
(POI)
data.
Building
shadow
distributions
road
were
derived,
geospatial
analysis
methods
applied
assess
their
LST.
The
results
indicate
that
roofs
roads
are
primary
factors
affecting
LST,
with
a
more
pronounced
while
anthropogenic
plays
prominent
role
Hefei.
influence
building
facades
is
relatively
weak,
population
density
shows
limited
geographical
detector
model
reveals
interactions
between
roof
key
drivers
LST
increases.
Based
these
findings,
planning
should
focus
optimizing
layouts
heights,
enhancing
greening
roads,
reducing
structures.
Additionally,
strategically
utilizing
shadows
minimizing
emissions
can
help
lower
local
temperatures
improve
thermal
environment.
Язык: Английский