Land,
Journal Year:
2024,
Volume and Issue:
13(10), P. 1666 - 1666
Published: Oct. 13, 2024
This
study
aims
to
investigate
the
coupling
and
harmonization
between
land
ecological
security
(LES)
high-quality
agricultural
development
(HAD)
in
Han
River
Basin
(HRB),
China,
with
objective
of
promoting
harmonious
coexistence
agriculture
ecosystems.
Using
17
cities
HRB
as
research
objects,
an
evaluation
index
system
two
systems,
LES
HAD,
was
constructed,
analyzed,
evaluated
via
projective
tracer
modeling
for
multiple
intelligent
genetic
algorithms
(MIGA-PTM).
The
degree
coordination
(DCC)
used
quantitatively
evaluate
status
obstacle
model
(OM)
identify
main
influencing
factors,
gray
predictive
first-order
univariate
(GM
(1,
1))
predict
DCC
HAD
from
2025
2040.
results
show
following:
(1)
levels
tended
increase
during
period,
there
a
large
gap
cities;
(2)
spatial
distributions
DCCs
were
uneven,
high
values
southern
low
central
northern
parts,
overall
fluctuate.
showed
fluctuating
upward
trend;
(3)
obstacles,
per
capita
water
resources,
greening
coverage,
rate
return
on
financial
expenditure
are
factors;
(4)
prediction
GM
1)
indicate
that
will
be
close
reaching
intermediate
stage
2035.
offers
critical
insights
into
sustainable
practices
facilitate
alignment
growth
preservation.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
157, P. 111230 - 111230
Published: Nov. 11, 2023
The
uneven
spatial–temporal
distribution
of
ecosystem
services
in
humid
regions
seriously
hinders
the
achievement
regional
ecological
construction
and
sustainable
development
goals.
However,
most
studies
have
ignored
mechanism
coupled
water
supply
demand,
there
is
no
clear
understanding
relationship
between
habitat
quality
under
future
land
use/land
cover
(LULC).
This
study
based
on
Han
River
(HR)
Basin
integrates
PLUS
InVEST
models
to
propose
an
integrated
framework
for
quantifying
spatial
temporal
changes
associated
production,
quality,
current
risk
demand
use
changes.
results
show
that
from
2000
2050,
Natural
Development
Scenario
(NDS)
expanding,
proportion
forest
grassland
decreasing,
decreasing
0.7052
0.7046.
Under
Ecological
Protection
(EPS),
increase
has
slowed,
large
areas
cropland
been
converted
land,
improved.
(EDS),
lands
rises,
declines
(0.6923).
In
particular,
production
greater
low
quality.
overall
HR
basin
slightly
decreased,
increased
significantly.
deficit
area
upper
extensively
2020,
basin's
increased.
proposes
relevant
mitigation
strategies
enhance
coordinated
development,
which
can
provide
a
scientific
basis
resource
management
planning
wetland
areas.
Journal of Hydrology Regional Studies,
Journal Year:
2024,
Volume and Issue:
52, P. 101739 - 101739
Published: March 14, 2024
Yangtze
River
Delta
core
urban
agglomeration,
China
Traditional
research
on
flood
susceptibility
assessment
using
machine
learning
often
seeks
to
enhance
model
performance
by
increasing
the
number
of
input
variables,
which
is
impractical
in
regions
with
limited
data
availability.
In
this
study,
we
constructed
a
variable
system
comprising
13
features
for
through
techniques.
A
flexible
framework,
primarily
incorporating
methods
importance
value
calculation
and
repeated
random
sampling,
were
established
identify
minimal
set
that
yield
high-performance
classifiers.
Finally,
feasibility
proposed
framework
was
verified
comparing
classifier
performances
maps.
Results
underscored
significance
such
as
Land
Use
/
Cover,
Impervious
Area,
Normalized
Difference
Vegetation
Index,
Distance
Lake
Built-up
Probability
development.
These
five
proved
sufficient
produce
Area
Under
Curve
(AUC)
indices
exceeding
0.9
both
training
testing
data.
Susceptibility
maps
generated
varying
feature
counts
revealed
vegetation
cover
near
lakes
face
higher
susceptibility.
The
framework's
viability
confirmed
excellent
(mean
AUC
>
0.9)
reduced
consistent
outcomes
maps,
offering
theoretical
technical
support
flooding
data-constrained
regions.
The Egyptian Journal of Remote Sensing and Space Science,
Journal Year:
2024,
Volume and Issue:
27(2), P. 255 - 267
Published: March 25, 2024
Land
subsidence
(LS)
due
to
natural
processes
or
human
activity
can
irreparably
damage
the
environment.
This
study
employed
quasi-permanent
scatterer
method
detect
areas
with
and
without
in
period
from
2018
2020.
In
addition,
12
factors
affecting
were
selected
LS-prone
areas.
Information
gain
ratio
(IGR)
frequency
methods
used
determine
importance
weighting
of
various
sub-factors
subsidence.
Novel
approaches,
including
standard
adaptive-network-based
fuzzy
inference
system
(ANFIS)
algorithm
its
integration
particle
swarm
optimization
(PSO)
algorithm,
yielded
LS
maps.
The
models'
predictive
performance
was
assessed
using
statistical
indexes
such
as
root
mean
square
error
(RMSE),
area
under
receiver
operating
characteristic
curve
(AUROC)
confusion
matrix
criteria
(e.g.,
sensitivity,
specificity,
precision,
accuracy,
recall).
Finally,
Shapley
additive
explanations
approach
explore
features
modeling.
findings
showed
that
pattern
V-shaped,
averaging
321
mm/year.
Ground-leveling
interferometric
synthetic
aperture
radar
measurements
revealed
a
0.93
correlation
coefficient
σ
=
1.43
mm/year
deformation
rate.
Based
on
IGR
analysis,
aquifer
media,
decline
water
table,
thickness
played
pivotal
roles
occurrences.
ANFIS-PSO
model
classified
approximately
50.26
%
high
very
susceptibility.
AUROC
values
ANFIS
models
for
training
dataset
0.912
0.807,
respectively.
For
testing
dataset,
produced
higher
value
0.863,
while
had
0.771.
RMSE
lower.
Given
remarkable
deemed
suitable
evaluating
susceptibility
area.
