Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 6, 2025
Urban
overheating
significantly
affects
thermal
comfort
and
livability,
making
it
essential
to
understand
the
relationship
between
urban
form
land
surface
temperature
(LST).
While
horizontal
dimensions
of
have
been
widely
studied,
vertical
structures
their
impact
on
LST
remain
underexplored.
This
study
investigates
influence
three-dimensional
characteristics
LST,
using
ECOSTRESS
sensor
data
four
machine
learning
models.
Six
morphology
variables—building
density
(BD),
mean
building
height
(MH),
volume
(BVD),
gross
floor
area
(GFA),
ratio
(FAR),
sky
view
factor
(SVF)—are
analyzed
across
different
seasons
times
day.
The
results
reveal
that
MH,
BD,
FAR
are
season-stable
factors,
with
higher
MH
correlated
lower
((e.g.,
an
observed
reduction
approximately
3
°C
in
spring),
while
BD
is
associated
(e.g.,
increase
about
3.5
autumn).
In
contrast,
BVD,
GFA,
SVF
season-varying
factors
variable
impacts
depending
time
year.
Higher
BVD
generally
elevated
GFA
linked
LST.
These
associations
reflect
absolute
changes
measured
directly
from
data.
findings
offer
valuable
insights
into
complex
interactions
helping
inform
strategies
for
heat
mitigation
sustainable
planning.
Ecological Indicators,
Год журнала:
2024,
Номер
163, С. 112109 - 112109
Опубликована: Май 15, 2024
Accurate
analysis
of
regional
ecological
quality
and
its
drivers
is
crucial
for
the
sustainable
development
human
society.
The
remote
sensing
eco-index
(RSEI)
has
been
widely
used
to
monitor
changes
in
many
countries
or
regions,
but
it
ignores
problem
declining
air
caused
by
economic
population
growth.
Consequently,
an
improved
remotely
sensed
index
(ARSEI)
was
developed
evaluate
China's
environment
incorporating
aerosol
optical
depth
(AOD)
into
system.
Additionally,
a
random
forest
regression
model
rank
importance
indexes
ARSEI.
Furthermore,
geographical
detector
utilized
assess
impact
natural
socioeconomic
factors
on
spatial
heterogeneity
ARSEI
six
geographic
regions
China,
identifying
their
primary
drivers.
research
findings
revealed
following:
(1)
There
are
similarities
differences
order
indicators
across
regions.
(2)
values
significantly
increased
24.70%
areas,
primarily
Northeast
Plain,
Loess
Plateau,
Tarim
Basin,
while
they
decreased
5.35%
mainly
Qinghai-Tibetan
northern
part
Tianshan
Mountains,
eastern
coastal
cities,
central
urban
agglomerations.
(3)
Rainfall
vegetation
conditions
main
affecting
environmental
Three-North
region
(XB,
HB
DB).
In
southern
(XN,
ZN
HD)
cover
land
use
change,
density
PM2.5
concentrations
were
greater
than
influence
climate
factors.
interaction
factors,
including
PM2.5,
had
results
this
study
can
provide
data
support
coordinated
ecosystems
socioeconomics.
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112531 - 112531
Опубликована: Авг. 27, 2024
•
To
take
into
account
the
negative
influence
of
construction
land
on
ESV.
Combine
with
partial
dependency
analysis
to
effectively
identify
degree
and
trend
each
factor
Quantitatively
define
sensitive
areas
ecosystem
service
value.
Accurately
vulnerable
key
nodes
in
ecosystem.
Ecosystem
services
(ES),
which
serve
as
link
between
human
activities
natural
ecosystems,
are
crucial
for
maintaining
ecological
balance
supporting
economic
development.
The
Services
Value
(ESV)
is
an
indicator
used
quantifying
services.
estimating
dynamics
ESV
threshold
effects
influencing
factors
great
importance
sustainable
development
region.
This
study
constructs
valuation
model
based
equivalent
method,
incorporating
land,
corrects
initial
results
three
dimensions.
By
constructing
a
random
forest
integrating
dependence
analysis,
Elevation,
Evapotranspiration,
Normalized
Difference
Vegetation
Index,
proportion
built-up
area
were
identified
significant
determining
ecologically
within
show
that:
(1)
total
Henan
along
Yellow
River
2000,
2005,
2010,
2015,
2020
was
204.612
billion
yuan,
249.775
239.100
234.868
yuan
202.767
respectively.
overall
change
first
growth
then
decline,
spatial
features
remaining
relatively
stable,
polarization
becoming
more
pronounced.
(2)
clustering
characteristics
remarkable,
cold
hot
spot
bidirectional
expansion
trend.
expand
substantially
around
whilethe
small
western
mountain
vegetation
River,
but
slower.
(3)
main
affecting
include
one
anthropogenic
factor,
namely
evapotranspiration
(ET),
(POB),
normalized
index
(NDVI)
elevation
(ELEV).
at
high
level
when
ELEV>718
m,
ET<90
mm,
NDVI>0.7,
POB<25.67
%
approximately.
can
provide
important
theoretical
basis
comprehensive
protection
measures.
Furthermore,
they
contribute
Basin.
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112551 - 112551
Опубликована: Авг. 31, 2024
Investigating
the
nonlinear
impacts
of
urban
landscape
and
climatic
parameters
on
temperatures,
a
critical
issue
within
climatology.
Chengdu,
characterized
by
its
hot,
rainy
summers
rapid
development,
serves
as
an
ideal
model
to
illustrate
these
dynamics.
Our
investigation
utilizes
advanced
analytical
methods
such
Random
Forests
(RF),
SHapley
additive
explanation
(SHAP),
Partial
Dependence
Plots
(PDP)
analyze
how
factors
influence
air
temperature
(AT)
land
surface
(LST).
Significant
findings
reveal
profound
thermal
heterogeneity
across
Chengdu's
fabric,
underscored
spatially
distinct
phenomena
where
some
regions
exhibit
strong
contrasts
in
due
varying
factors.
The
study
identifies
relative
humidity
rainfall
key
drivers
variations
during
summer
months,
reflecting
specific
idiosyncrasies.
These
insights
are
critical,
they
highlight
planning
green
infrastructure
can
be
strategically
used
mitigate
adverse
effects.
research
not
only
enhances
understanding
complex
interplays
microclimates
but
also
offers
new
perspectives
heat
management.
It
contributes
scientific
community
providing
evidence-based
strategies
for
planners
counter
island
effect
enhance
resilience
against
climate
change.
This
comprehensive
analysis
underscores
importance
incorporating
multiple
variables
into
models,
lays
groundwork
more
refined
environmental
policies
practices.
