Remote Sensing,
Год журнала:
2025,
Номер
17(2), С. 273 - 273
Опубликована: Янв. 14, 2025
The
intensification
of
climate
change
and
the
implementation
territorial
spatial
planning
policies
have
jointly
increased
complexity
future
carbon
storage
changes.
However,
impact
on
under
remains
unclear.
Therefore,
this
study
aims
to
reveal
potential
impacts
sequestration,
providing
decision
support
for
addressing
optimizing
planning.
We
employed
FLUS
model,
InVEST
variance
partitioning
analysis
(VPA)
method
simulate
15
different
scenarios
that
combine
Xiamen
in
2035,
quantify
individual
combined
ecosystem
sequestration.
results
showed
(1)
by
Xiamen’s
capacity
is
expected
range
from
32.66
×
106
Mg
33.00
various
scenarios,
reflecting
a
decrease
2020
levels;
(2)
conducive
preserving
storage,
with
urban
development
boundary
proving
be
most
effective;
(3)
greatly
affected
change,
RCP
4.5
more
effective
than
8.5
maintaining
higher
levels
storage;
(4)
influence
sequestration
consistently
exceeds
particularly
high-emission
where
regulatory
effect
especially
significant.
iScience,
Год журнала:
2023,
Номер
26(4), С. 106479 - 106479
Опубликована: Март 23, 2023
The
frequent
urban
floods
have
seriously
affected
the
regional
sustainable
development
in
recent
years.
It
is
significant
to
understand
characteristics
of
flood
risk
and
reasonably
predict
under
different
land
use
scenarios.
This
study
used
random
forest
multi-criteria
decision
analysis
models
assess
spatiotemporal
Zhengzhou
City,
China,
from
2005
2020,
proposed
a
robust
method
coupling
Bayesian
network
patch-generating
simulation
future
probability.
We
found
that
City
presented
an
upward
trend
its
spatial
pattern
was
"high
middle
low
surrounding
areas".
In
addition,
patterns
scenario
would
be
more
conducive
reducing
risk.
Our
results
can
provide
theoretical
support
for
scientifically
optimizing
improve
management.
Land,
Год журнала:
2023,
Номер
12(4), С. 744 - 744
Опубликована: Март 25, 2023
A
goal
of
land
change
modelers
should
be
to
communicate
scenarios
future
that
show
the
variety
possible
landscapes
based
on
consequences
management
decisions.
This
study
employs
Markov-FLUS
model
simulate
land-use
changes
in
Hubei
Province
multiple
consider
social,
economic,
and
ecological
policies
using
18
driving
factors,
including
point-of-interest
data.
First,
was
developed
validated
with
historical
data
from
2000
2020.
The
then
used
2020
2035
four
scenarios:
natural
development,
economic
priority,
protection,
cultivated
protection.
results
effectively
simulates
pattern
Province,
an
overall
accuracy
0.93
for
use
simulation
Kappa
coefficient
FOM
index
also
achieved
0.86
0.139,
respectively.
In
all
scenarios,
remained
primary
type
2035,
while
construction
showed
increasing
trend.
However,
there
were
large
differences
simulated
patterns
different
scenarios.
Construction
expanded
most
rapidly
priority
scenario,
it
more
slowly
protection
scenario.
We
designed
scenario
restrict
rapid
expansion
land.
development
encroached
forests.
contrast,
forests
water
areas
well-preserved,
decrease
increase
suppressed,
resulting
a
improvement
sustainability.
Finally,
spread
curbed.
conclusion,
applied
this
has
substantial
implications
effective
utilization
resources
environment
Province.
Ecological Indicators,
Год журнала:
2023,
Номер
158, С. 111354 - 111354
Опубликована: Дек. 2, 2023
Waterlogging
is
one
of
the
world's
most
dangerous
climatic
hazards,
seriously
limiting
safety
and
sustainable
development
cities.
Analysis
factors
influencing
urban
waterlogging
disaster
risk
assessment
are
great
importance
for
prevention
control
waterlogging.
The
study
constructs
a
framework
assessing
Urban
Risk
(UWR)
from
four
dimensions:
natural
condition,
social
capital,
infrastructure
built
environment,
emphasizing
need
to
understand
address
vulnerabilities
risks
faced
by
cities
in
terms
On
this
basis,
MaxEnt
model
used
rank
contribution
rate
indicators
identify
positive
negative
correlations,
as
well
assess
waterlogging-prone
areas,
taking
Tianjin
Downtown
research
object.
results
show
that:
(1)
has
strong
applicability
assessment.
(2)
elements
with
highest
impact
on
population
density,
impervious
surface,
precipitation,
etc.,
prove
that
regional
increases
increase
population,
building
surface.
(3)
high-risk
area
concentrated
central
part
city,
which
characterized
high
degree
construction
dense
population;
low-risk
mainly
low
at
edge
large
green
or
water
bodies.
In
study,
comprehensive
UWR
was
developed,
key
affecting
spatial
distribution
were
identified,
perform
accuracy.
can
provide
theoretical
reference
warning
land
use
optimization.
Remote Sensing,
Год журнала:
2024,
Номер
16(2), С. 336 - 336
Опубликована: Янв. 15, 2024
Flooding
is
a
natural
disaster
that
coexists
with
human
beings
and
causes
severe
loss
of
life
property
worldwide.
Although
numerous
studies
for
flood
susceptibility
modelling
have
been
introduced,
notable
gap
has
the
overlooked
or
reduced
consideration
uncertainty
in
accuracy
produced
maps.
Challenges
such
as
limited
data,
due
to
confidence
bounds,
overfitting
problem
are
critical
areas
improving
accurate
models.
We
focus
on
mapping,
mainly
when
there
significant
variation
predictive
relevance
predictor
factors.
It
also
noted
receiver
operating
characteristic
(ROC)
curve
may
not
accurately
depict
sensitivity
resulting
map
overfitting.
Therefore,
reducing
was
targeted
increase
improve
processing
time
prediction.
This
study
created
spatial
repository
test
models,
containing
data
from
historical
flooding
twelve
topographic
geo-environmental
conditioning
variables.
Then,
we
applied
random
forest
(RF)
extreme
gradient
boosting
(XGB)
algorithms
susceptibility,
incorporating
variable
drop-off
empirical
loop
function.
The
results
showed
function
crucial
method
resolve
model
associated
factors
methods.
approximately
8.42%
9.89%
Marib
City
9.93%
15.69%
Shibam
were
highly
vulnerable
floods.
Furthermore,
this
significantly
contributes
worldwide
endeavors
focused
hazards
linked
disasters.
approaches
used
can
offer
valuable
insights
strategies
risks,
particularly
Yemen.
