Urban
water
bodies
play
a
critical
role
in
regulating
urban
climate,
mitigating
the
heat
island
effect,
and
enhancing
ecological
environments.
This
study
focuses
on
five
typical
cities
Zhejiang
Province,
systematically
analyzing
cooling
effects
of
bodies.
Specifically,
divides
buffer
zones
into
basic
analytical
units
based
road
network
performs
land
surface
temperature
inversion
use
classification
using
Google
Earth
Engine
platform.
Six
representative
morphology
indicators
are
selected,
contributions
these
to
evaluated
Gradient
Boosting
Decision
Tree
regression
model.
Additionally,
optimization
strategies
for
different
proposed.
The
results
show
following:
(1)
Water
central
areas
generally
exhibit
significant
effects,
with
average
reduction
exceeding
5.13
°C
compared
built-up
all
cities.
(2)
is
higher
than
that
areas,
difference
at
least
0.63
°C.
(3)
In
Huzhou
Jiaxing,
high-temperature
low-temperature
relatively
concentrated,
while
Jinhua,
Quzhou,
Shaoxing,
more
interspersed
distribution
observed,
reflecting
spatial
heterogeneity.
(4)
Among
body
indicators,
edge
density,
proportion
landscape
area
occupied
by
patches,
largest
patch
index
water,
shape
exert
larger
impact
effects.
These
findings
provide
scientific
guidance
optimizing
layout
improving
thermal
Forests,
Год журнала:
2025,
Номер
16(1), С. 83 - 83
Опубликована: Янв. 6, 2025
Dealing
with
the
challenge
of
climate
change
has
become
a
consensus
in
international
community,
and
carbon
sequestration
absorption
function
forest
ecosystems
significant
potential
addressing
change.
This
study,
based
on
China’s
sustainable
development
goals
(SDGs)
forestry
basic
data,
evaluates
progress
SDGs
stocks
provinces
cities
from
2000
to
2022
reveals
their
changing
trends.
It
uses
fixed-effects
models
quantify
impact
regional
SDG6,
SDG11,
SDG15,
clarify
mechanism
promoting
SDGs.
The
research
findings
show
following:
(1)
SDG15
Chinese
is
not
consistent.
Most
have
improved
SDG
scores
by
more
than
10
points,
most
notable
East
China
Northeast
China,
while
North
Northwest
relatively
slow.
(2)
stock
increased
93.2%
2022.
increase
obvious
Southeast
less
that
other
regions.
(3)
regression
results
can
significantly
promote
at
1%
significance
level.
heterogeneity
test
shows
improve
three
eastern
provinces,
achievement
SDG11
central
regions,
only
western
These
are
helpful
for
evaluating
contribution
neutrality
provide
theoretical
reference
address
reduce
risks.
PLoS ONE,
Год журнала:
2025,
Номер
20(3), С. e0318633 - e0318633
Опубликована: Март 6, 2025
Rapid
urbanization,
while
transforming
people's
living
environments,
also
brings
a
series
of
urban
issues
such
as
the
heat
island
effect.
The
park
is
an
effective
means
to
alleviate
effect
in
summer.
How
make
better
use
cold
formed
by
parks
improve
outdoor
thermal
environment
important
topic.
This
manuscript
takes
Xi'an
research
area,
using
remote
sensing
data
source
and
combining
field
surveys,
explore
cooling
characteristics
built-up
area.
It
demonstrated
that,
influencing
factors
islands
are
summarized:
area
perimeter
park,
water
bodies,
trees
all
positively
correlated
with
surrounding
building
density
plot
ratio
green
space.
A
comprehensive
scoring
model
for
each
factor
established,
principal
component
analysis
method
used
determine
weight
indicator
on
design
elements,
among
which
space
has
greatest
influence
weight.
demand
Xi'an's
analyzed,
optimization
strategies
suggestions
improving
put
forward
from
both
inside
outside
park.
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1026 - 1026
Опубликована: Янв. 27, 2025
With
the
acceleration
of
global
climate
change
and
urbanization,
urban
heat
island
effect
has
significantly
impacted
quality
life
residents.
Although
numerous
studies
have
focused
on
macro-scale
factors
such
as
air
temperature,
surface
albedo,
green
space
coverage,
relatively
little
attention
been
paid
to
micro-scale
factors,
shading
provided
by
building
facades
tree
canopy
coverage.
However,
these
play
a
significant
role
in
enhancing
pedestrian
thermal
comfort.
This
study
focuses
city
community
China,
aiming
assess
comfort
streets
during
summer.
Utilizing
high-resolution
3D
geographic
data
street
view
images
extracted
from
drone
data,
this
comprehensively
considers
mechanisms
affecting
environment
human
requirements
for
greening.
By
proposing
quantitative
indicators
multiple
scales
dimensions,
thoroughly
quantifies
impact
surrounding
environment,
greening,
effects,
buildings,
road
design
summer
streets.
The
results
show
that
increasing
coverage
10
m
can
reduce
layout
extending
200
regulate
temperature.
distribution
shadows
at
different
times
affects
comfort,
while
sky
factor
negatively
correlates
with
Environments
high
index
enhance
visual
reveals
specific
contributions
environmental
characteristics
identifies
provides
scientific
basis
planning
improvement,
holding
substantial
practical
significance.
