High-altitude deformation and reactivation mechanism of large ancient landslides along the Shadingmai section of the upper Jinsha River, Tibetan Plateau
Changbao Guo,
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Zhendong Qiu,
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Ruian Wu
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et al.
Environmental Earth Sciences,
Journal Year:
2025,
Volume and Issue:
84(1)
Published: Jan. 1, 2025
Language: Английский
Failure process analysis of a catastrophic landslide in Zhenxiong triggered by prolonged low-intensity rainfall using centrifuge tests
Qiankuan Wang,
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Bin Li,
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Aiguo Xing
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et al.
Engineering Geology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 108044 - 108044
Published: March 1, 2025
Language: Английский
Physics-based time-of-failure determination of rainfall-induced instability in lateritic soil slopes
Sushant Rahul,
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Akanksha Tyagi
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Engineering Geology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 107834 - 107834
Published: Dec. 1, 2024
Language: Английский
Formation mechanism of metastable internal support microstructure in Malan Loess and its implications for collapsibility
Jinduo Yang,
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Xian Li,
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Lin Li
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et al.
Engineering Geology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 107892 - 107892
Published: Dec. 1, 2024
Language: Английский
Model Experiment Study on the Anti-Erosion Capacity of Loess Slope Considering Moss Biocrust Coverage and Slope Gradient
Zhouchen Li,
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Hengxing Lan,
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Weifeng Sun
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et al.
Published: Jan. 1, 2024
Language: Английский
Hydrologic Model Prediction Improvement in Karst Watersheds through Available Reservoir Capacity of Karst
Lin Liao,
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Saeed Rad,
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Junfeng Dai
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(15), P. 6557 - 6557
Published: July 31, 2024
This
study
aimed
to
enhance
flood
forecasting
accuracy
in
the
Liangfeng
River
basin,
a
small
karst
watershed
Southern
China,
by
incorporating
Available
Reservoir
Capacity
of
Karst
(ARCK)
into
HEC-HMS
model.
region
is
often
threatened
floods
during
rainy
season,
so
an
accurate
forecast
can
help
decision-makers
better
manage
rivers.
As
crucial
influencing
factor
on
karstic
runoff,
ARCK
overlooked
hydrological
models.
The
seasonal
and
volatile
nature
makes
direct
computation
its
specific
values
challenging.
In
this
study,
virtual
reservoir
for
each
sub-basin
(total
17)
was
introduced
model
simulate
storage
release
ARCK-induced
runoff
phenomena.
Simulations
via
enhanced
rainfall
events
with
significant
fluctuations
water
levels
2021–2022
revealed
that
Nash–Sutcliffe
efficiency
coefficient
(NSE)
average
simulation
improved
more
than
34%.
Normally,
rainfalls
(even
heavy
precipitations)
dry
season
either
do
not
generate
or
cause
negligible
flow
rates
due
long
intervals.
Conversely,
relatively
frequent
light
ones)
wet
result
substantial
runoff.
Based
observation,
three
distinct
types
reservoirs
different
retaining/releasing
capacities
were
defined,
reflecting
variations
both
frequency
volume
seasons.
real-time
environmental
variable,
exhibits
higher
lower
seasons,
respectively,
we
avoid
risk
flooding
according
special
effects.
Language: Английский