A cellular automaton for the factor of safety field in landslides modeling

@article{Piegari2006ACA,
  title={A cellular automaton for the factor of safety field in landslides modeling},
  author={Ester Piegari and Vittorio Cataudella and R. Di Maio and Leopoldo Milano and Mario Nicodemi},
  journal={Geophysical Research Letters},
  year={2006},
  volume={33}
}
Landslide inventories show that the statistical distribution of the area of recorded events is well described by a power law over a range of decades. To understand these distributions, we consider a cellular automaton model based on a dissipative dynamical variable associated to a time and position dependent factor of safety. The model is able to reproduce the complex structure of landslide distribution, as experimentally reported. In particular, we investigate the role of the rate of change of… 
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References

SHOWING 1-10 OF 29 REFERENCES
Self-organization, the cascade model, and natural hazards
We consider the frequency-size statistics of two natural hazards, forest fires and landslides. Both appear to satisfy power-law (fractal) distributions to a good approximation under a wide variety of
Self-organized criticality in a continuous, nonconservative cellular automaton modeling earthquakes.
TLDR
A new nonconservative self-organized critical model is introduced that is equivalent to a quasistatic two-dimensional version of the Burridge-Knopoff spring-block model of earthquakes and displays a robust power-law behavior.
Continuously driven OFC: A simple model of solar flare statistics
We investigate a finite driving rate version of the Olami-Feder-Christensen (OFC) model with particular attention to the correlations between events and the statistics of waiting times. We also
Self-organized criticality
The concept of self-organized criticality was introduced to explain the behaviour of the sandpile model. In this model, particles are randomly dropped onto a square grid of boxes. When a box
The characterization of landslide size distributions
Landslide size distributions generally exhibit power‐law scaling over a limited scale range. The range is set by the mapping resolution, by the number of observed events, and by the slope failure
Two-threshold model for scaling laws of noninteracting snow avalanches.
TLDR
A two-threshold 2D cellular automaton, in which failure occurs irreversibly, is introduced, which reproduces the range of power-law exponents observed for land, rock, or snow avalanches and represents the material cohesion anisotropy.
Landslide inventories and their statistical properties
Landslides are generally associated with a trigger, such as an earthquake, a rapid snowmelt or a large storm. The landslide event can include a single landslide or many thousands. The frequency–area
Self-organized criticality in two-variable models
We present a cellular automaton approach involving two variables and investigate its behavior with respect to self-organized criticality (SOC). It can be seen as a generalization of the
Statistical analysis of rockfall volume distributions: Implications for rockfall dynamics
We analyze the volume distribution of natural rockfalls on different geological settings (i.e., calcareous cliffs in the French Alps, Grenoble area, and granite Yosemite cliffs, California Sierra)
...
1
2
3
...