Recent nonlinear dynamical systems (NDS) techniques have been developed to analyse chaotic time series data. According to NDS theory, the correlation dimension and predictable time scale are evaluated from a single observed time series. Two case studies are presented to demonstrate that chaos exists in the evolution of a landslide and the predictable time scale must be considered. The possibility for long-term, medium-term and critical prediction is discussed.link_to_subscribed_fulltex
This paper examines temporal correlations and temporal clustering of a proxy historical landslide ti...
This study of the behaviour of rainfall dynamics at different temporal scales identifies the type of...
Power-law distributions of landslides and rockfalls observed under various conditions suggest a rel...
Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the re...
Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the re...
It is now generally recognized that very simple dynamical systems can produce apparently random beha...
Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate...
A cusp catastrophe model is presented and the necessary and sufficient conditions leading to landsli...
International audienceSlow earthquakes, like regular earthquakes, result from unstable frictional sl...
Understanding and quantifying the time evolution of landslides has always engaged researchers becaus...
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit determi...
This paper presents a nonlinear cusp catastrophe model of landslides and discusses the conditions le...
Understanding and quantifying the time evolution of landslides has always engaged researchers becaus...
This paper examines temporal correlations and temporal clustering of a proxy historical landslide ti...
This study of the behaviour of rainfall dynamics at different temporal scales identifies the type of...
Power-law distributions of landslides and rockfalls observed under various conditions suggest a rel...
Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the re...
Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the re...
It is now generally recognized that very simple dynamical systems can produce apparently random beha...
Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate...
A cusp catastrophe model is presented and the necessary and sufficient conditions leading to landsli...
International audienceSlow earthquakes, like regular earthquakes, result from unstable frictional sl...
Understanding and quantifying the time evolution of landslides has always engaged researchers becaus...
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit determi...
This paper presents a nonlinear cusp catastrophe model of landslides and discusses the conditions le...
Understanding and quantifying the time evolution of landslides has always engaged researchers becaus...
This paper examines temporal correlations and temporal clustering of a proxy historical landslide ti...
This study of the behaviour of rainfall dynamics at different temporal scales identifies the type of...
Power-law distributions of landslides and rockfalls observed under various conditions suggest a rel...