Landslide susceptibility mapping using artificial intelligence models: a case study in the Himalayas
Muhammad Afaq Hussain,
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Zhanlong Chen,
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Yulong Zhou
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et al.
Landslides,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 13, 2025
Language: Английский
Multi-scenario landslide probabilistic hazard analysis based on a single rainfall event: A case of the Zhuzhou-Guangzhou section of Beijing-Guangzhou railway in China
Zhiwen Xue,
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Chong Xu,
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Jiale Jin
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et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Abstract
This
study
calculates
the
absolute
probability
of
landslides
under
varying
rainfall
scenarios
along
Beijing-Guangzhou
Railway
from
Zhuzhou
to
Guangzhou,
aiming
enhance
railway
transportation
safety.
Using
a
Bayesian
sampling
strategy,
Logistic
Regression
(LR)
model
was
developed
for
landslide
hazard
assessment
based
on
geological
conditions
and
data
railway.
The
demonstrated
strong
predictive
performance
with
an
AUC
value
0.86
both
training
testing
sets,
showing
no
overfitting.
Results
indicated
that
when
is
less
than
150
mm,
over
70%
area
has
below
0.1%.
However,
exceeding
hazards
increase
significantly,
rapid
rise
in
areas
where
ranges
0.1–1%.
When
reaches
500
about
60%
region
exhibits
1%.
Under
real
(e.g.,
cumulative
during
10
days
before
June
7,
2020),
probabilities
greater
1%
are
mainly
concentrated
Fogang
County,
northeast
eastern
Zhuzhou,
aligning
heavy
distributions.
relationship
between
occurrence
highly
non-linear,
increasing
exponentially
as
rises.
These
results
provide
effective
tool
offer
valuable
support
disaster
warning
prevention
measures.
Language: Английский
Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis
Tiep Nguyen Viet,
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Dam Duc Nguyen,
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Manh Nguyen Duc
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et al.
Physics and Chemistry of the Earth Parts A/B/C,
Journal Year:
2024,
Volume and Issue:
unknown, P. 103741 - 103741
Published: Sept. 1, 2024
Language: Английский
Enhanced Landslide Spatial Prediction Using Hybrid Deep Learning Model and SHAP Analysis: A Case Study of the Tuyen Quang-Ha Giang Expressway, Vietnam
Dam Duc Nguyen,
No information about this author
Manh Duc Nguyen,
No information about this author
Nguyen Tuan Hung
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et al.
Journal of the Indian Society of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 3, 2024
Language: Английский