A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The predictable time scale of landslides
Abstract 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.
The predictable time scale of landslides
Abstract 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.
The predictable time scale of landslides
Qin, S. Q. (author) / Jiao, J. J. (author) / Wang, S. J. (author)
2001
Article (Journal)
English
Mechanisms of large-scale landslides in China
| Online Contents | 2011
| Wiley | 2017
Large-scale landslides in China: Case studies
| British Library Conference Proceedings | 2008
Mechanisms of large-scale landslides in China
| Online Contents | 2011
UB Braunschweig | 1.2004 -