PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0317659 - e0317659
Опубликована: Янв. 27, 2025
The
increasing
population
density
and
impervious
surface
area
have
exacerbated
the
urban
heat
island
effect,
posing
significant
challenges
to
environments
sustainable
development.
Urban
spatial
morphology
is
crucial
in
mitigating
effect.
This
study
investigated
impact
of
on
land
temperature
(LST)
at
township
scale.
We
proposed
a
six-dimensional
factor
system
describe
morphology,
comprising
Atmospheric
Quality,
Remote
Sensing
Indicators,
Terrain,
Land
Use/Land
Cover,
Building
Scale,
Socioeconomic
Factors.
Spatial
autocorrelation
regression
methods
were
used
analyze
impact.
To
this
end,
township-scale
data
Linyi
City
from
2013
2022
collected.
results
showed
that
LST
are
significantly
influenced
by
with
strongest
correlations
found
factors
use
types,
landscape
metrics,
remote
sensing
indices.
global
Moran’s
I
value
exceeds
0.7,
indicating
strong
positive
correlation.
High-High
LISA
values
distributed
central
western
areas,
Low-Low
northern
regions
some
scattered
counties.
Geographically
Weighted
Regression
(GWR)
model
outperforms
Error
Model
(SEM)
Ordinary
Least
Squares
(OLS)
model,
making
it
more
suitable
for
exploring
these
relationships.
findings
aim
provide
valuable
references
town
planning,
resource
allocation,
Land,
Год журнала:
2024,
Номер
13(4), С. 417 - 417
Опубликована: Март 25, 2024
In
the
rapidly
urbanizing
world,
as
one
of
distinct
anthropogenic
alterations
global
climate
change,
warming
has
attracted
rising
concerns
due
to
its
negative
effects
on
human
well-being
and
biodiversity.
However,
existing
studies
mostly
focused
difference
in
temperature
elevation
among
urbanized
areas
non-urbanized
areas,
i.e.,
rural
or
suburban
areas.
The
allometric
urban
at
intra-urban
scales
was
overlooked.
This
research
aimed
expand
our
understanding
urbanization–temperature
relationships
by
applying
a
concept
“previous-new”
dichotomy
To
quantify
land
surface
(LST)
dynamics
340
cities
China,
we
analyzed
LST
different
use
types
through
trend
analysis
absolute
change
calculation
models.
heat
island
(UHI)
effect
two
spatial
units,
newly
expanded
area
(“new
UA”
hereinafter)
during
2000–2015
previously
(“previous
2000,
were
compared
discussed.
Our
findings
reveal
that
growth
China
coincided
with
an
increase
approximately
0.68
°C
across
entire
administrative
boundary,
higher
increases
observed
regions
between
Yellow
River
Yangtze
lower
other
Moreover,
new
UA
exhibited
significantly
greater
intensity
(HUII)
previous
UA.
corresponded
speed
scale
growth,
experiencing
rates
percentages
exhibiting
more
pronounced
increases.
study
reveals
impact
underlying
settlements
large
scale.
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0317659 - e0317659
Опубликована: Янв. 27, 2025
The
increasing
population
density
and
impervious
surface
area
have
exacerbated
the
urban
heat
island
effect,
posing
significant
challenges
to
environments
sustainable
development.
Urban
spatial
morphology
is
crucial
in
mitigating
effect.
This
study
investigated
impact
of
on
land
temperature
(LST)
at
township
scale.
We
proposed
a
six-dimensional
factor
system
describe
morphology,
comprising
Atmospheric
Quality,
Remote
Sensing
Indicators,
Terrain,
Land
Use/Land
Cover,
Building
Scale,
Socioeconomic
Factors.
Spatial
autocorrelation
regression
methods
were
used
analyze
impact.
To
this
end,
township-scale
data
Linyi
City
from
2013
2022
collected.
results
showed
that
LST
are
significantly
influenced
by
with
strongest
correlations
found
factors
use
types,
landscape
metrics,
remote
sensing
indices.
global
Moran’s
I
value
exceeds
0.7,
indicating
strong
positive
correlation.
High-High
LISA
values
distributed
central
western
areas,
Low-Low
northern
regions
some
scattered
counties.
Geographically
Weighted
Regression
(GWR)
model
outperforms
Error
Model
(SEM)
Ordinary
Least
Squares
(OLS)
model,
making
it
more
suitable
for
exploring
these
relationships.
findings
aim
provide
valuable
references
town
planning,
resource
allocation,
