IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 9728 - 9744
Published: Jan. 1, 2024
Clarifying
the
factors
that
influence
land
surface
temperature
(LST)
is
crucial
for
proposing
specific
LST
mitigation
strategies.
This
study
focuses
on
Beijing-Tianjin-Hebei
(BTH)
Region
and
investigates
influencing
of
various
local
climate
zone
(LCZ)
built
types
from
perspectives
urban
morphology,
cover,
human
activity.
The
results
suggest
areas
LCZ
vary
across
cities
within
BTH
Region,
attributed
to
differences
in
city
size
Gross
Domestic
Product
(GDP).
area
Beijing
Tianjin,
with
significantly
high
sizes
GDP,
exceeds
2000
km2.
In
contrast,
Qinhuangdao,
Zhangjiakou
Chengde,
which
have
relatively
low
this
less
than
500
However,
main
same
type
are
highly
consistent.
Building
coverage
ratio
(BCR),
average
building
height
(ABH)
pervious
fraction
(PSF)
three
most
important
factors.
correlation
between
BCR
mainly
concentrated
compact
high-rise
open
types,
Pearson
coefficient
(r)
ranging
0.2
0.44;
ABH
high-rise,
mid-rise,
mid-rise
r
-0.2
-0.52;
PSF
almost
all
-0.56.
By
integrating
these
findings
features
each
strategies
were
further
proposed.
can
help
develop
context
Coordinated
Development
thereby
promoting
healthy
sustainable
development
region.
Landscape Architecture,
Journal Year:
2025,
Volume and Issue:
32(1), P. 105 - 113
Published: Jan. 1, 2025
Objective
Against
the
background
of
rapid
urbanization
and
global
warming,
Wuhan
is
frequently
hit
by
extreme
heat
events,
which
not
only
poses
a
serious
threat
to
health
status
local
residents,
but
also
brings
great
losses
socio-economic
development.
Mapping
high
temperature
disaster
risk
in
urban
development
area
analyzing
influencing
factors
thereof
at
scale
can
provide
an
important
basis
for
prevention
disasters
city.
Methods
Based
on
"hazard
–
exposure
vulnerability"
assessment
framework
proposed
Intergovernmental
Panel
Climate
Change,
this
research
constructed
system
utilizing
multi-source
data,
then
pre-processes
all
relevant
indicators
make
them
dimensionless.
Then,
combination
analytic
hierarchy
process
principal
component
analysis
adopted
assign
weights
indicators,
with
such
being
finally
superimposed
obtain
hazard
map,
map
vulnerability
respectively.
On
basis,
synthesized
identify
distribution
characteristics
area.
Then
Landsat
8
remote
sensing
images
are
processed
SAGA
GIS
software,
Google
Earth
Pro
Random
Forest
algorithm
classify
into
17
climate
zone
(LCZ)
types
based
image
classification
method
World
Urban
Database
Access
Portal
Tools
(WUDAPT).
With
70%
random
samples
used
drawing
30%
checking,
LCZ
maps
that
meet
requirements
accuracy
obtained
analyzed
site
identification
scale.
The
local-scale
risk,
analyze
degree
each
type
differences
between
different
types,
explore
reasons
differences.
Finally,
eight
landscape
pattern
indices
preliminarily
selected
levels,
optimal
size
using
moving
window
Fragstats
4.2
software.
Furthermore,
highly
correlated
screened
out
under
size,
multicollinearity
examined
those
excluded.
geographically
weighted
regression
(GWR)
models
effect
patterns
spatial
heterogeneity
risk.
Results
district
do
differ
much,
overall
presentation
center
gradually
decreases
from
low,
high-risk
areas
mainly
located
south-central
part
Caidian
District,
west
north
Jiangxia
dense
industrial
parks
south
Dongxihu
Iron
Steel
Factory
Qingshan
Tianhe
Airport
Huangpi
low-risk
watershed
part.
Jianghan,
Qiaokou,
districts
have
relatively
average
value
due
population
density
or
buildings,
while
Wuchang
Hongshan
low
presence
large
water
green
therein.
Overlaying
normalized
maps,
it
be
seen
that,
among
building
sparse
built-up
(LCZ
9)
has
lowest
significantly
higher
than
other
low-rise
buildings
8)
heavy
10),
plants
zones
Among
natural
environment
G)
indicates
effectively
mitigate
disaster;
bare
rock
E),
exposed
sand
F),
construction
H)
outdoor,
they
typically
values
solar
radiation
long
time.
As
indices,
percentage
(PLAND)
influence
aggregation
index
(AI).
Conclusion
results
above,
strategies
cope
proposed.
First,
vegetation
should
increased.
Secondly,
layout
rationally
planned.
Meanwhile,
anthropogenic
source
emissions
controlled.
service
facilities
improved
enhance
city's
coping
ability.
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 394 - 394
Published: Feb. 13, 2025
The
urban
thermal
environment
is
a
critical
topic
in
contemporary
studies.
However,
the
mechanisms
driving
relationships
between
influencing
factors
and
across
different
spatial
scales
temporal
dimensions
remain
unclear,
particularly
as
most
of
these
exhibit
nonlinearity.
This
study
utilizes
XGBoost
SHAP
models,
combined
with
partial
dependency
plot,
to
analyze
influence
population
activities,
built
environment,
topography,
ecological
climatic
conditions,
landscape
pattern
on
diurnal
nocturnal
land
surface
temperature
(LST)
changes
rural
areas
Hangzhou
throughout
year.
results
indicate
that
during
daytime,
topography
exerts
strong
LST
both
Hangzhou.
At
nighttime,
activities
becomes
more
pronounced.
Meanwhile,
patterns
show
no
significant
impact
either
or
areas,
regardless
daytime
nighttime.
Additionally,
we
analyzed
specific
nonlinear
LST.
Finally,
our
findings
suggest
can
interact
synergistically
pairs
affect
LST,
this
mechanism
being
prominent
areas.
Overall,
categorizes
examines
contributing
from
perspectives,
providing
insights
for
developing
planning
strategies
mitigate
heat
issues
future.
