Life and death of slow-moving landslides
In the most destructive and catastrophic landslide events, rocks, soil and fluids can travel at
speeds approaching several tens of metres per second. However, many landslides …
speeds approaching several tens of metres per second. However, many landslides …
[HTML][HTML] Worldwide research trends in landslide science
P Carrión-Mero, N Montalván-Burbano… - International journal of …, 2021 - mdpi.com
Landslides are generated by natural causes and by human action, causing various
geomorphological changes as well as physical and socioeconomic loss of the environment …
geomorphological changes as well as physical and socioeconomic loss of the environment …
Time series analysis and long short-term memory neural network to predict landslide displacement
A good prediction of landslide displacement is an essential component for implementing an
early warning system. In the Three Gorges Reservoir Area (TGRA), many landslides deform …
early warning system. In the Three Gorges Reservoir Area (TGRA), many landslides deform …
Landslide displacement prediction based on multivariate chaotic model and extreme learning machine
This paper proposes a multivariate chaotic Extreme Learning Machine (ELM) model for the
prediction of the displacement of reservoir landslides. The displacement time series of the …
prediction of the displacement of reservoir landslides. The displacement time series of the …
Forecasting catastrophic rupture in brittle rocks using precursory AE time series
JZ Zhang, XP Zhou - Journal of Geophysical Research: Solid …, 2020 - Wiley Online Library
An evidently precursory acoustic emission (AE) time series, characterized by a time‐
reversed Omori law, is registered prior to the unconfined catastrophic rupture of brittle …
reversed Omori law, is registered prior to the unconfined catastrophic rupture of brittle …
Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR)
Reliable prediction of reservoir displacement is essential for practical applications. Machine
learning offers an attractive and accessible set of tools for the displacement prediction of …
learning offers an attractive and accessible set of tools for the displacement prediction of …
Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses
Predicting the time of failure is a topic of major concern in the field of geological risk
management. Several approaches, based on the analysis of displacement monitoring data …
management. Several approaches, based on the analysis of displacement monitoring data …
Regulation of landslide motion by dilatancy and pore pressure feedback
RM Iverson - Journal of Geophysical Research: Earth Surface, 2005 - Wiley Online Library
A new mathematical model clarifies how diverse styles and rates of landslide motion can
result from regulation of Coulomb friction by dilation or contraction of water‐saturated basal …
result from regulation of Coulomb friction by dilation or contraction of water‐saturated basal …
Slow-to-fast transition of giant creeping rockslides modulated by undrained loading in basal shear zones
Giant rockslides are widespread and sensitive to hydrological forcing, especially in climate
change scenarios. They creep slowly for centuries and then can fail catastrophically posing …
change scenarios. They creep slowly for centuries and then can fail catastrophically posing …
Seismic precursory patterns before a cliff collapse and critical point phenomena
D Amitrano, JR Grasso… - Geophysical Research …, 2005 - Wiley Online Library
We analyse the statistical pattern of seismicity before a 1–2 103 m3 chalk cliff collapse on
the Normandie ocean shore, Western France. We show that a power law acceleration of …
the Normandie ocean shore, Western France. We show that a power law acceleration of …