Land,
Journal Year:
2024,
Volume and Issue:
13(6), P. 892 - 892
Published: June 20, 2024
The
rational
allocation
of
land
use
space
is
crucial
to
carbon
emissions
reductions
and
economic
development.
However,
previous
studies
have
either
examined
inter-objective
trade-offs
or
intra-objective
within
a
single
objective
lacked
multilevel
comprehensive
studies.
Therefore,
this
paper
integrates
inter-
mitigation
efficiency
comprehensively
study
the
interaction
between
pattern
demand
due
policies.
research
methods
were
mainly
multi-objective
planning,
gray
model,
patch-generating
simulation
area
was
less-developed
urban
agglomeration—the
Tianshan
north
slope
agglomeration.
results
show
that
total
change
from
2000
2020
5767.94
km2,
grassland
transferred
out
most,
3582.59
accounting
for
62.11%,
cultivated
in
3741.01
km2.
Compared
with
2020,
simulated
obtained
2030
has
significantly
changed.
In
addition,
benefits
under
low-carbon
objectives
changed
opposite
direction.
four
landscape
patterns
three
scenarios
same
direction,
degree
fragmentation,
agglomeration,
regularity
better
than
objective.
are
essential
references
future
resource
management,
mitigation,
sustainable
development
agglomerations.
Land,
Journal Year:
2025,
Volume and Issue:
14(5), P. 920 - 920
Published: April 23, 2025
Excessive
human
activities
associated
with
rapid
industrialization
and
urbanization
have
exerted
tremendous
pressure
on
limited
land
resources.
Scientific
use
planning
is
essential
for
attaining
sustainable
development.
This
study
focuses
multi-objective
optimization
in
Xinjiang,
China’s
largest
arid
region,
targeting
the
dual
goals
of
maximizing
ecosystem
services
economic
benefits.
The
non-dominated
sorting
genetic
algorithm
II
(NSGA-II)
future
simulation
(FLUS)
model
are
integrated
innovatively
to
explore
optimal
terms
both
quantity
spatial
distribution.
Four
distinct
development
scenarios
predefined
compared:
natural
development,
ecological
preservation,
main
results
as
follows:
(1)
fragile
Xinjiang
has
been
under
during
past
40
years.
predominant
pattern
transition
was
increase
construction
(+115.66%)
cultivated
(+47.18%)
at
expense
grassland
(−5.48%)
forest
(−4.15%),
which
hold
substantial
significance.
(2)
Among
these
scenarios,
scenario
considered
more
favorable
due
its
ability
balance
preservation
All
ecologically
valuable
lands
will
certain
degrees
growth,
whereas
expansion
scale
be
effectively
controlled.
(3)
lack
high-quality
unpredictability
water
resources
two
major
obstacles
implementing
this
scenario.
To
overcome
them,
government
should
provide
policy
financial
support
restricting
expansion,
exploiting
unused
land,
strengthening
conservation.
contributes
formulating
effective
strategies
multiple
conflicting
ultimately
achieving
economy
ecology
well
other
similar
regions.
The
framework
development
for
large-scale
energy
construction
zoning
and
the
consideration
of
geographical
potential
are
critical
to
achieving
carbon
neutrality
goals.
However,
previous
wind
power
studies
have
mostly
focused
on
micro-site
selection,
rarely
quantitatively
analyzed
response
relationship
between
ecosystem
from
a
macroscopic
perspective.
This
study
introduced
new
explainable
artificial
intelligence
ecological
suitability
prediction
framework,
which
can
serve
as
link
mitigation
adaptation
measures
in
global
climate
change.
Twenty
indicator
layers
were
incorporated,
quantitative
evaluation
method
was
used
generate
twenty
raster
data
subsequent
models'
input
layers.
results
showed
that
accuracies
XGBoost,
LightGBM,
CatBoost
CNN
93.36%,
96.50%,
97.17%
97.46%
respectively.
performed
consistently
across
all
categories,
while
more
distinctive
very
unsuitable
suitable
categories.
analysis
found
sensitivity
desertification
distance
roads
contributed
most
results,
influences
socio-economic
indicators
minimal.
Applying
Qinghai-Tibetan
Plateau
revealed
71.4%
area
farm
construction,
but
total
high
1.90×106
GW.
It
is
recommended
11.32%
areas
with
should
be
developed
soon
possible
future
after
detailed
assessment,
order
achieve
nationally
determined
contributions
target
slow
down
warming.
ISPRS International Journal of Geo-Information,
Journal Year:
2025,
Volume and Issue:
14(1), P. 33 - 33
Published: Jan. 16, 2025
Rapid
urban
expansion
and
chaotic
land-use
patterns
cause
many
socio-economic
environmental
issues,
e.g.,
traffic
congestion
heat
islands;
thus,
scientific
planning
considering
trade-offs
layout
optimization
is
highly
required
for
resolving
these
especially
in
the
renewal
stage.
However,
previous
spatial
methods
were
weak
processing
patches
ignored
their
neighborhood
dependency,
leading
to
fragmented
inapplicable
results.
Accordingly,
this
study
proposes
a
patch-level
neighborhood-dependency
method
(PNO)
adjust
multiple
targets
(i.e.,
improving
population
economy
but
controlling
land
surface
temperature).
The
PNO
represents
graph
structure,
quantifies
patterns’
impacts
on
population,
economy,
temperature,
defines
spatiotemporal
constraints
of
sequences,
finally
optimizes
uses
layouts
based
multi-objective
genetic
algorithm.
Experiments
conducted
area
Beijing,
results
suggested
that,
after
optimization,
GDP
can
be
improved
by
667,323
people
(4.72%)
USD
10.69
billion
products
(2.75%)
area;
meanwhile,
temperature
reduced
0.12
°C
(−0.32%).
Through
comparison,
proposed
outperforms
methods,
NSGA-II,
as
well
neighborhoods.
Taking
map
2022
reference,
are
more
consistent
with
actual
changes
(consistency
25%),
compared
existing
10.6%).
Thus,
applicable
circumstances.
Transactions in Earth Environment and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Clarifying
how
to
systematically
manage
ecosystem
services
is
crucial
for
addressing
urban-rural
conflicts
and
promoting
sustainable
development,
while
service
optimization
offers
an
effective
approach.
The
of
encompasses
not
only
the
traditional
supply
demand
but
also
entire
process,
including
supply,
flow,
demand,
especially
complex
socio-ecological
systems.
metacoupling
framework
can
offer
a
feasible
theoretical
approach
advancing
spatial
supply-flow-demand
adaptively
explain
interaction
relationships
between
urban
rural
regions.
This
study
first
explored
patterns
characteristics
systems
understand
mechanisms,
intracoupling,
pericoupling,
telecoupling,
areas,
fringes,
areas.
Furthermore,
by
integrating
with
process
assessment
approaches,
we
interpreted
varied
interactions
nexus.
Finally,
metacoupling-based
was
developed,
which
considers
reducing
supply-demand
trade-offs,
balancing
deficits,
improving
flow
efficiency.
constructed
in
this
provides
new
research
perspective
adaptive
comprehensive
management
urban,
fringe,
services.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2397 - 2397
Published: April 10, 2025
In
dynamic
industrial
environments,
strategic
sensor
placement
is
key
to
accurately
monitoring
equipment
and
detecting
critical
events.
Despite
progress
in
Industry
4.0
the
Internet
of
Things,
research
on
optimal
remains
limited.
This
study
addresses
this
gap
by
analyzing
how
impacts
event
detection,
using
chemical
detection
as
a
case
with
an
open
dataset.
Detecting
gases
challenging
due
their
dispersion.
Effective
algorithms
well-planned
locations
are
required
for
reliable
results.
Using
deep
convolutional
neural
networks
(DCNNs)
decision
tree
(DT)
methods,
we
implemented
tested
models
public
dataset
substances
collected
at
five
locations.
addition,
also
multi-objective
optimization
approach
based
non-dominated
sorting
genetic
algorithm
II
(NSGA-II)
identify
configurations
that
balance
high
accuracy
cost
efficiency
deployment.
refined
placement,
DCNN
model
achieved
100%
only
30%
available
sensors.
