Applied Sciences,
Год журнала:
2024,
Номер
14(12), С. 5201 - 5201
Опубликована: Июнь 14, 2024
Geological
disasters
in
large
alpine
reservoirs
primarily
take
the
form
of
landslide
occurrences
and
are
predominantly
induced
by
slope
instability.
Presently,
risk
monitoring
assessment
strategies
tend
to
prioritize
sudden
alerts
overlooking
progressive
trajectories
from
onset
creeping
deformations
within
its
critical
state
preceding
landslides.
Hence,
analyzing
safety
risks
over
time
demonstrates
a
significant
degree
hysteresis,
highlighting
necessity
for
comprehensive
approach
that
encompasses
both
gradual
precursors
events.
This
study
analyzes
factors
affecting
stability
establishes
evaluation
indicator
system
includes
terrain
morphology,
meteorological
conditions,
ecological
environment,
soil
human
activity,
external
manifestation.
It
proposes
quantitative
model
based
on
fuzzy
broad
learning
system,
aiming
accurately
assess
slopes
with
different
levels.
The
overall
accuracy
rate
reaches
92.08%.
multi-dimensional
provides
long-term
conditions
scientific
guidance
management
disaster
prevention
mitigation
long
scale
risky
reservoir
areas.
Sustainability,
Год журнала:
2025,
Номер
17(4), С. 1632 - 1632
Опубликована: Фев. 16, 2025
This
study
identifies
the
key
challenges
and
opportunities
for
enhancing
urban
resilience
in
Indonesia,
focusing
on
implementation
of
green
city
concepts
as
a
strategic
solution
to
improve
sustainability.
Case
studies
Banda
Aceh,
Jakarta,
Surabaya
demonstrate
potential
limitations
this
approach
addressing
critical
issues
such
flooding,
coastal
erosion,
heat
island
effects.
A
systematic
literature
review
(SLR)
policy
analysis
related
were
employed,
along
with
an
evaluation
initiatives
implemented
several
major
cities
across
Indonesia.
Findings
reveal
that
inadequate
infrastructure,
rapid
urbanization,
limited
budgets
constitute
obstacles
adopting
sustainable
solutions.
However,
significant
exist
through
collaborative
efforts
between
government,
society,
private
sector.
These
include
application
environmentally
friendly
technologies,
development
robust
early
warning
systems,
adaptive
planning
strategies.
concludes
strengthening
necessitates
cross-sector
collaboration,
investments
resilient
increased
public
awareness
involvement
mitigating
disaster
risks
climate
change.
ACS Omega,
Год журнала:
2024,
Номер
9(28), С. 30492 - 30507
Опубликована: Июль 2, 2024
Pipeline
risk
assessment
is
crucial
for
pipeline
safety
management
and
operation.
The
aim
of
this
study
to
develop
a
comprehensive
model
that
accurately
evaluates
risks
ensures
the
safe
reliable
operation
system.
based
on
multisource
spatial
data
primarily
applicable
long-distance
oil
gas
pipelines
traverse
complex
geological
conditions
in
mountainous
areas.
research
conducted
using
example
Jinliwen
natural
Zhejiang
Province,
China.
By
analyzing
area
potential
may
encounter,
indicator
system
was
developed
slope
units
divide
sections.
levels
are
classified
K-means
clustering-entropy
weighted-random
forest
algorithm.
evaluated
accuracy
(Acc),
precision
(Pre),
recall
(R),
F1-score,
ROC
curve.
results
show
has
an
0.917,
0.92,
0.916,
F1-score
0.914,
AUC
(Area
Under
Curve)
0.93,
indicating
its
strong
predictive
capability.
demonstrate
consistency
when
compared
with
actual
incident
events.
This
indicates
constructed
effectively
reflects
influencing
factors
risk,
providing
basis
disaster
prevention
mitigation
efforts
similar
regions.
