Environmental and Sustainability Indicators,
Journal Year:
2024,
Volume and Issue:
23, P. 100452 - 100452
Published: Aug. 8, 2024
Land
use
changes
and
urban
activities
cause
environmental
degradation
climate
change.
This
study
aims
to
assess
the
impacts
of
Use
Cover
(LULC)
on
land
surface
temperature
(LST)
in
Kigali,
Rwanda
over
past
three
decades.
The
combined
techniques
remote
sensing
GIS
were
applied
generate
good
quality
Landsat
images,
categorize
classes
retrieve
indices.
modified
Mann-Kendall
test
Sen's
slope
estimator
used
analyze
trends
LST.
results
indicate
that
between
1990
2020,
extent
builtup
forest
areas
have
increased
at
an
average
rate
3.39
km2/year
2.42
respectively,
while
open
has
decreased
5.81
km2/year.
In
same
period,
water
bodies
wetlands
showed
minimal
with
increase
1.56
km2
a
decrease
1.66
for
respectively.
magnitudes
LST
are
predominantly
positive
(p
≤
0.05)
high
observed
dry
seasons
(0.51
°C
per
decade
Tmin
JJA
0.49
Tmax
JF).
correlations
indices
all
studied
subregions
(all
values
above
0.61,
p
0.05).
findings
this
useful
development
future
schemes
adoption
mitigation
adaptation
strategies
response
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(14), P. 6237 - 6237
Published: July 22, 2024
Changes
in
land
use
patterns,
types,
and
intensities
significantly
impact
ecosystem
services.
This
study
follows
the
time
series
logic
from
history
to
expected
future
investigate
spatial
temporal
characteristics
of
changes
Ezhou
their
potential
impacts
on
services
value
(ESV).
The
results
show
that
Markov–FLUS
model
has
strong
applicability
predicting
pattern
use,
with
a
Kappa
coefficient
0.9433
FoM
0.1080.
Between
2000
2020,
construction
expanded
continuously,
while
water
area
remained
relatively
stable,
other
types
experienced
varying
degrees
contraction.
Notably,
compared
2000,
it
by
70.99%
2020.
Moreover,
watershed
9.30%
2010,
but
there
was
very
little
change
following
10
years.
Under
three
scenarios,
significant
differences
were
observed
City,
driven
human
activities,
particularly
expansion
land.
In
inertial
development
scenario,
313.39
km2
2030,
representing
38.30%
increase
Conversely,
under
farmland
protection
increased
237.66
km2,
4.89%
rise
However,
ecological
priority
253.59
10.13%
Compared
ESV
losses
inertia
scenarios
USD
4497.71
1072.23,
respectively,
2030.
scenario
2749.09,
emphasizing
importance
prioritizing
City’s
development.
may
provide
new
clues
for
formulation
regional
strategies
sustainable
restoration.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(6), P. 671 - 671
Published: May 31, 2024
With
the
ongoing
advancement
of
globalization
significantly
impacting
ecological
environment,
continuous
rise
in
Land
Surface
Temperature
(LST)
is
increasingly
jeopardizing
human
production
and
living
conditions.
This
study
aims
to
investigate
seasonal
variations
LST
its
driving
factors
using
mathematical
models.
Taking
Wuhan
Urban
Agglomeration
(WHUA)
as
a
case
study,
it
explores
characteristics
employs
Principal
Component
Analysis
(PCA)
categorize
factors.
Additionally,
compares
traditional
models
with
machine-learning
select
optimal
model
for
this
investigation.
The
main
conclusions
are
follows.
(1)
WHUA’s
exhibits
significant
differences
among
seasons
demonstrates
distinct
spatial-clustering
different
seasons.
(2)
Compared
geographic
spatial
models,
Extreme
Gradient
Boosting
(XGBoost)
shows
better
explanatory
power
investigating
effects
LST.
(3)
Human
Activity
(HA)
dominates
influence
throughout
year
positive
correlation
LST;
Physical
Geography
(PG)
negative
Climate
Weather
(CW)
show
similar
variation
PG,
peaking
transition;
Landscape
Pattern
(LP)
weak
LST,
winter
while
being
relatively
inconspicuous
summer
transition.
Finally,
through
comparative
analysis
multiple
constructs
framework
exploring
features
aiming
provide
references
guidance
development
WHUA
regions.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1375 - 1375
Published: Nov. 14, 2024
Rapid
urbanization
worldwide
offers
numerous
benefits
but
also
introduces
challenges,
particularly
concerning
urban
climate
comfort,
which
affects
the
physical
and
social
well-being
in
cities.
This
study
examined
microclimatic
characteristics
of
Burç
neighborhood
historical
core
Burdur
city,
using
ENVI-Met
models
with
temperature,
relative
humidity,
wind
PET
data
collected
over
a
33,665
m2
area
at
06:00,
09:00,
12:00,
15:00,
18:00
21:00
on
15
August
2023.
The
analysis
revealed
that
thermal
comfort
decreases
significantly
from
09:00
onwards,
especially
hard
surfaces
like
asphalt,
concrete
parquet,
lack
vegetation
intensify
heat
retention.
By
contrast,
green
areas
were
found
to
enhance
bioclimatic
by
reducing
perceived
temperatures
up
20%
shaded
vegetated
zones.
Based
these
findings,
it
is
recommended
reduce
heat-absorbing
materials,
such
as
asphalt
prioritize
spaces
landscape
planning
improve
create
more
sustainable
environments.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 138 - 138
Published: Jan. 10, 2025
Improvements
in
vegetation
coverage
are
driven
by
both
resource
endowment
conditions
and
policy
behaviors.
To
accurately
reflect
the
restoration
effect
after
ecological
policies,
this
study
used
potential
realization
model
to
calculate
degree
of
on
Loess
Plateau
assess
Grain
for
Green
Program
from
2000
2020.
Then,
influencing
factors
were
explored
using
spatial
Dubin
model.
The
results
reveal
that
(1)
EVI
value
northern
Shaanxi
increased
below
0.25
at
beginning
approximately
0.35
end,
indicating
green
territory
gradually
expanded
northwest
over
period,
east
west
key
areas
cover
further
improvement;
(2)
compared
traditional
indicator,
can
more
evaluate
policies;
(3)
intensity
is
positively
correlated
with
growth
rate
0.183
significant
1%
level,
making
it
primary
factor
restoration.
Additionally,
annual
average
precipitation
sunshine
percentage
have
positive
contributions
improvement
Plateau.
study’s
findings
expected
contribute
development
a
scientific
basis
adjusting
enhancing
efforts.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 1, 2025
Rapid
socioeconomic
growth
has
altered
land
use
patterns,
resulting
in
a
surge
worldwide
CO2
emissions,
triggering
global
climate
challenges
and
adversely
affecting
human
health,
safety,
sustainable
development.
As
result,
immediate
action
is
required
to
undertake
mitigation
adaptation
strategies.
This
study,
based
on
the
causal
logic
of
change,
blue-green
space
carbon
uses
system
dynamics
(SD)
model,
patch-generating
simulation
(PLUS)
integrated
valuation
ecosystem
service
trade-offs
(InVEST)
models
simulate
evolution
patterns
predict
spatial
distribution
storage
Wuhan
2060
from
2030
under
three
SSP-RCP
scenarios
CMIP6
investigates
their
mechanisms.
The
findings
show
that
across
various
scenarios,
would
decline
over
next
30
years,
with
green
spaces
decreasing
some
amount
blue
growing
marginally.
also
expected
due
shrinking
patterns.
SSP126
scenario
least
shrinkage
spaces,
reduction
7.18Tg
storage.
Under
SSP245
scenario,
expansion
non-blue-green
encroaches
an
8.13
Tg
decrease
Across
SSP585
expand
fastest,
highest
loss
considerable
drop
11.67
Tg.
research
extremely
important
for
optimizing
regional
coordinating
high-quality
development
Wuhan,
assisting
implementation
urban
change
plans.
