Clustered landslides induced by rainfall in Jiangwan Town, Shaoguan City, Guangdong Province, China
Genlan Yang,
Longhui Zhao,
Yigen Qin
и другие.
Landslides,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 8, 2025
Язык: Английский
Near-surface soil hydrothermal response feedbacks landslide activity and mechanism
Engineering Geology,
Год журнала:
2024,
Номер
341, С. 107690 - 107690
Опубликована: Авг. 22, 2024
Язык: Английский
Combination of triggers for landslide reactivation on structural relief of gently dipping Cretaceous rocks: Results from intra-annual tree-ring based dating
CATENA,
Год журнала:
2025,
Номер
250, С. 108763 - 108763
Опубликована: Янв. 27, 2025
Язык: Английский
Mapping landslide vulnerability using subsurface rock elastic parameters: a case study of Lebong Regency, Bengkulu
Kuwait Journal of Science,
Год журнала:
2025,
Номер
unknown, С. 100393 - 100393
Опубликована: Март 1, 2025
Язык: Английский
Four years of landslide observation with anthropogenic loading as an additional trigger - Analysis of seasonal and annual variability of physical parameters
Engineering Geology,
Год журнала:
2024,
Номер
342, С. 107761 - 107761
Опубликована: Окт. 10, 2024
Язык: Английский
Whole Life Cycle Monitoring of Landslide Deep Deformation via Triboelectric Nanogenerator
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 27, 2024
Abstract
The
displacement
monitoring
of
the
slow
landslide
deep
deformation
is
an
important
part
early
warning
system.
However,
traditional
energy
supply
mode
depth
sensors
limits
large‐scale
whole
life
cycle.
Therefore,
it
necessary
to
realize
self‐powered
for
at
extremely
low
speed.
Herein,
low‐speed
triboelectric
tilt
sensor
(ELS‐TTS)
proposed
cycle
without
supply.
self‐sensing
unit
based
on
nanogenerator
(TENG)
and
instantaneous
structure
gravity
storage
designed.
A
prototype
ELS‐TTS
with
a
resolution
0.075°
fabricated
experimented.
can
stably
monitor
speeds
below
0.0257°
s
−1
in
different
environments
motion
states,
error
less
than
0.13°.
Furthermore,
real‐time
system
landslides
multi‐level
forewarning
method
dangerous
states.
This
work
further
promotes
development
TENG
fields
natural
disaster
prevention
structural
health
monitoring.
Язык: Английский