Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 27, 2024
The
urban
functional
zone,
serving
as
a
bridge
to
understanding
the
complex
interactions
between
human
spatial
activities
and
surface
thermal
environmental
changes,
explores
driving
force
information
of
its
internal
temperature
which
is
crucial
for
improving
environment.
However,
impacts
current
zones
on
environment,
based
delineation
activities,
have
yet
be
sufficiently
investigated.
To
address
issue,
we
constructed
two-factor
weighted
dominant
function
vector
model
“population
heat—land
use
scale”
identify
zones.
This
multisource
data
considers
perspective
supply
demand
matching.
We
then
analyzed
differentiation
factors
relationship
environment
using
random
forest
algorithm,
bivariate
autocorrelation,
geographical
detectors,
geographically
regression
models.
results
showed
that
there
are
significant
differences
in
Land
Surface
Temperature
among
different
central
area
Lanzhou.
Among
these,
life
service
zone
has
greatest
impact
followed
by
industrial
catering
while
green
space
least
impact.
exhibits
high-high
clusters
localized
clustering
patterns
with
service,
industrial,
residential
In
contrast,
it
tends
exhibit
low-high
spaces.
Significant
dependence
exist
various
land
cover
types
characterized
Normalized
Difference
Bare
Building
Index,
vegetation
coverage
represented
Fraction
Vegetation
Cover,
density
indicated
Industrial
POI
Kernel
Density
Index
main
drivers
Lanzhou,
all
heterogeneity.
Atmospheric chemistry and physics,
Год журнала:
2025,
Номер
25(9), С. 4989 - 5007
Опубликована: Май 14, 2025
Abstract.
Synoptic
weather
patterns
(SWPs)
and
human
activities
are
significant
driving
factors
of
the
canopy
urban
heat
island
effect
(CUHI),
CUHI
phenomenon
exhibits
a
pronounced
diurnal
cycle.
However,
to
date,
there
has
been
knowledge
gap
in
understanding
how
combination
SWPs
modulates
cycle
CUHI.
This
study
systematically
analyzed
intensity
(CUHII)
Yangtze
River
Delta
Urban
Agglomeration
(YRDUA)
by
integrating
multiple
source
datasets
utilizing
objective
classification
methods.
Among
all
SWPs,
type
2
(dominated
subtropical
high
pressure)
exhibited
strongest
CUHII,
while
4
(affected
southwestern
moisture
southward
cold
air)
had
lowest.
In
terms
activities,
landscape
percentage
(PLAND),
largest
patch
index
(LPI),
anthropogenic
flux
(AHF)
showed
an
increasing
trend,
with
higher
values
east
lower
west,
coinciding
spatiotemporal
CUHII.
These
findings
collectively
confirm
pivotal
roles
phenomena.
More
importantly,
this
paper
quantifies
contributions
using
random
forest
(RF)
model.
Shapley
additive
explanation
(SHAP)
revealed
that
more
influence
on
daytime
whereas
dominated
nighttime
During
daytime,
partial
dependence
plot
(PDP)
relative
humidity
(RH)
decreased
pronouncedly,
explaining
why
contributed
significantly
CUHII
during
period.
When
wind
speed
(WS)
exceeded
threshold,
PDP
rapidly
increased,
which
might
account
for
contribution
5
nighttime,
appeared
be
threshold
PLAND,
beyond
its
impact
improving
became
markedly
prominent.
results
indicated
was
clear
asymmetry
modulation
activities.
conclusion,
not
only
provided
scientific
insight
into
complex
mechanisms
YRDUA,
but
also
offered
theoretical
foundation
evaluating
overheating
issues
developing
effective
mitigation
strategies.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 27, 2024
The
urban
functional
zone,
serving
as
a
bridge
to
understanding
the
complex
interactions
between
human
spatial
activities
and
surface
thermal
environmental
changes,
explores
driving
force
information
of
its
internal
temperature
which
is
crucial
for
improving
environment.
However,
impacts
current
zones
on
environment,
based
delineation
activities,
have
yet
be
sufficiently
investigated.
To
address
issue,
we
constructed
two-factor
weighted
dominant
function
vector
model
“population
heat—land
use
scale”
identify
zones.
This
multisource
data
considers
perspective
supply
demand
matching.
We
then
analyzed
differentiation
factors
relationship
environment
using
random
forest
algorithm,
bivariate
autocorrelation,
geographical
detectors,
geographically
regression
models.
results
showed
that
there
are
significant
differences
in
Land
Surface
Temperature
among
different
central
area
Lanzhou.
Among
these,
life
service
zone
has
greatest
impact
followed
by
industrial
catering
while
green
space
least
impact.
exhibits
high-high
clusters
localized
clustering
patterns
with
service,
industrial,
residential
In
contrast,
it
tends
exhibit
low-high
spaces.
Significant
dependence
exist
various
land
cover
types
characterized
Normalized
Difference
Bare
Building
Index,
vegetation
coverage
represented
Fraction
Vegetation
Cover,
density
indicated
Industrial
POI
Kernel
Density
Index
main
drivers
Lanzhou,
all
heterogeneity.
