Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 23, 2024
As
one
of
the
major
geological
disasters
in
southeastern
China,
typhoon-induced
vegetation
slope
instability
causes
significant
loss
life
and
property
each
year.
Despite
criticality
this
issue,
response
mechanism
vegetated
slopes
to
wind
loading
terms
soil
deformation
stability
still
remains
unclear.
This
research
conducted
field
investigations
on
330
historical
landslides
Yongjia
County,
Zhejiang
Province,
analyzing
their
spatiotemporal
distribution
developmental
characteristics
establish
a
conceptual
model.
The
influence
conditions
dynamic
parameters
strength
were
subsequently
determined
through
numerical
simulations
using
FLAC3D
software,
model
tests,
direct
shear
tests.
results
show
that:
(1)
is
significantly
affected
by
speed.
At
forces
≤
12
(hurricane:
32.7-36.9
m/s),
plays
positive
role
enhancing
stability.
≥
13
(typhoon:
37.0-41.4
exerts
negative
under
combined
action
strong
loads.
(2)
Based
experimentally
evolution
parameters,
formula
c
(v,
w)
was
fitted
express
variation
cohesion
with
speed
(v)
moisture
content
(w).
(3)
optimized
evaluation
demonstrates
increased
sensitivity
compared
traditional
model,
resulting
17.88%
increase
sliding
force
10.62-11.64%
anti-sliding
force.
accounts
for
both
indirect
effects
slopes.
findings
are
expected
enhance
assessment
winds
facilitate
development
more
accurate
machine
learning
statistical
models
future.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 9110 - 9110
Published: Oct. 21, 2024
This
paper
presents
a
novel
mathematical
framework
for
assessing
and
predicting
the
resilience
of
critical
coastal
infrastructures
against
wave
overtopping
hazards
extreme
climatic
events.
A
probabilistic
sensitivity
analysis
model
is
developed
to
evaluate
relative
influence
hydrodynamic,
geomorphological,
structural
factors
contributing
dynamics.
Additionally,
stochastic
Gaussian
process
(GP)
introduced
predict
mean
discharge
from
defences.
Both
predictive
models
are
validated
using
large
homogeneous
dataset
comprising
163
laboratory
field-scale
tests.
Statistical
evaluations
demonstrate
superior
performance
GPs
in
identifying
key
parameters
driving
rates,
outperforming
existing
regression-based
formulae.
The
proposed
offers
robust
tool
protection
under
various
climate
scenarios.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 23, 2024
As
one
of
the
major
geological
disasters
in
southeastern
China,
typhoon-induced
vegetation
slope
instability
causes
significant
loss
life
and
property
each
year.
Despite
criticality
this
issue,
response
mechanism
vegetated
slopes
to
wind
loading
terms
soil
deformation
stability
still
remains
unclear.
This
research
conducted
field
investigations
on
330
historical
landslides
Yongjia
County,
Zhejiang
Province,
analyzing
their
spatiotemporal
distribution
developmental
characteristics
establish
a
conceptual
model.
The
influence
conditions
dynamic
parameters
strength
were
subsequently
determined
through
numerical
simulations
using
FLAC3D
software,
model
tests,
direct
shear
tests.
results
show
that:
(1)
is
significantly
affected
by
speed.
At
forces
≤
12
(hurricane:
32.7-36.9
m/s),
plays
positive
role
enhancing
stability.
≥
13
(typhoon:
37.0-41.4
exerts
negative
under
combined
action
strong
loads.
(2)
Based
experimentally
evolution
parameters,
formula
c
(v,
w)
was
fitted
express
variation
cohesion
with
speed
(v)
moisture
content
(w).
(3)
optimized
evaluation
demonstrates
increased
sensitivity
compared
traditional
model,
resulting
17.88%
increase
sliding
force
10.62-11.64%
anti-sliding
force.
accounts
for
both
indirect
effects
slopes.
findings
are
expected
enhance
assessment
winds
facilitate
development
more
accurate
machine
learning
statistical
models
future.
