Frontiers in Engineering and Built Environment,
Journal Year:
2024,
Volume and Issue:
4(3), P. 215 - 229
Published: May 20, 2024
Purpose
This
study
aims
to
quantify
and
analyse
the
dynamics
of
land
use
cover
(LULC)
changes
over
three
decades
in
rapidly
urbanizing
city
Abha,
Saudi
Arabia,
assess
urban
growth
using
Morphological
Spatial
Pattern
Analysis
(MSPA).
Design/methodology/approach
Using
Support
Vector
Machine
(SVM)
classification
Google
Earth
Engine,
Abha
between
1990
2020
are
accurately
assessed.
method
leverages
cloud
computing
enhance
efficiency
accuracy
big
data
analysis.
Additionally,
MSPA
was
employed
Colab
patterns.
Findings
The
demonstrates
significant
expansion
areas
growing
from
62.46
km²
271.45
2020,
while
aquatic
habitats
decreased
1.36
0.52
km².
revealed
a
notable
increase
core
41.66
2001
194.97
2021,
showcasing
nuanced
sprawl
densification.
Originality/value
novelty
this
lies
its
integrated
approach,
combining
LULC
analyses
within
framework
capture
environment.
insights
poised
influence
policy
planning
decisions,
particularly
fostering
sustainable
environments
that
accommodate
preserving
natural
habitats.
approach
is
crucial
for
devising
strategies
can
adapt
mitigate
environmental
impacts
expansion.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(11), P. e31363 - e31363
Published: May 18, 2024
The
frequent
occurrence
of
extreme
heat
events
has
notably
affected
human's
living
environment,
and
a
considerable
number
studies
have
reported
that
green
space
is
an
efficient
measure
by
investigating
the
correlation
between
land
surface
temperature
(LST).
However,
spatiotemporal
effects
on
LST
still
remain
unclear.
In
this
study,
patterns
(e.g.,
core,
islet,
perforation,
edge,
loop,
bridge,
branch)
were
identified
through
morphological
spatial
pattern
analysis
(MSPA).
Moreover,
in
three
periods
investigated
kinds
models.
As
indicated
results:
(1)
geographically
temporally
weighted
regression
model
exhibited
optimal
performance
compared
with
other
two
(2)
general,
branch
significantly
contributed
to
cooling,
islet
hindered
cooling.
perforation
loop
exerted
significant
dual
nature
similar
quantity
negative
positive
coefficients,
showing
relatively
complex
impact
mechanism.
(3)
intensity
effect
respective
MSPA
class
varied
across
study
area.
core
had
most
substantial
effect,
which
distributed
cooling
located
south
middle
corners
(4)
result
suggested
neighborhood
scale
China,
was
960
m
served
as
basic
unit
management.
non-stationarity
provided
important
insights
into
urban
thermal
environment
improvement
planning
design.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(5), P. 1206 - 1206
Published: April 24, 2024
Urban
park
green
spaces
exhibit
significant
cool
island
effects,
which
can
effectively
mitigate
the
urban
heat
environment.
Clarifying
characteristics
and
differences
in
effects
of
parks
across
different
spatial
gradients
within
cities
is
instrumental
identifying
potential
issues
optimizing
structure
resource
allocation
a
scientifically
rational
manner.
This
study
focuses
on
central
area
Beijing,
utilizing
remote
sensing
image
interpretation
land
surface
temperature
(LST)
inversion
to
extract
relevant
intensity
(PCI)
index.
Various
mathematical
statistical
methods
including
correlation
analysis,
regression
cluster
analysis
are
employed
conduct
comparative
studies
three
gradients:
3rd
ring
road,
between
5th
roads,
outside
road.
The
reveals
that
both
space
gradient
differences,
collectively
influencing
spaces.
PCI
gradually
decreases
gradients.
Cluster
identifies
four
distinct
types
with
effect
characteristics,
highlighting
need
for
optimization
improvement
over
half
parks.
indicators
show
correlations
PCI,
variations
strength
thresholds
fitting
equations
each
characteristic
indicator
worsen
from
road
factors
playing
important
roles
enhances
our
understanding
facilitates
proposition
differentiated
management
strategies
planning
system
construction
regions.
ISPRS International Journal of Geo-Information,
Journal Year:
2024,
Volume and Issue:
13(10), P. 367 - 367
Published: Oct. 18, 2024
Cities
are
facing
increased
heat-related
health
risks
(HHRs)
due
to
the
combined
effects
of
global
warming
and
rapid
urbanization.
However,
few
studies
have
focused
on
HHR
assessment
based
fine-scale
information.
Moreover,
most
only
analyze
spatial
patterns
do
not
explore
potential
driving
factors.
In
this
study,
we
estimated
HHRs
“hazard–exposure–vulnerability”
framework
by
using
multisource
data,
including
modified
thermal–humidity
index
(MTHI),
population
density,
land
cover.
Then,
variations
in
among
different
local
climate
zones
(LCZs)
at
fine
scale
were
analyzed
detail.
Finally,
compared
contributions
LCZs
types
cover
their
three
components
multiple
linear
regression
models.
The
results
indicate
that
pattern
was
from
those
individual
components,
high-hazard
regions
mean
high
HHRs.
There
huge
LCZs.
built-up
typically
had
much
higher
than
natural
ones,
with
compact
severe
risk.
LCZ
6
(open
low-rise
buildings)
a
relatively
low
should
be
paid
more
attention
future
urban
planning.
Compared
LCZs,
covers
better
explained
HHR.
contrast,
predicted
surface
temperatures.
both
made
slight
heat
exposure
vulnerability.
Furthermore,
manmade
buildings
impervious
areas
contributed
covers.
Therefore,
arrangement
is
worthy
further
investigation
perspective
mitigation.
