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A cellular automaton for the factor of safety field in landslides modeling
Author(s) -
Piegari E.,
Cataudella V.,
Di Maio R.,
Milano L.,
Nicodemi M.
Publication year - 2006
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2005gl024759
Subject(s) - landslide , cellular automaton , hazard , statistical physics , power law , dissipative system , hazard analysis , field (mathematics) , crossover , stochastic cellular automaton , rare events , physics , computer science , geology , statistics , mathematics , seismology , algorithm , reliability engineering , engineering , organic chemistry , quantum mechanics , artificial intelligence , pure mathematics , chemistry
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 the system dynamical variables, induced by an external drive, on landslide modeling and its implications on hazard assessment. As the rate is increased, the model has a crossover from a critical regime with power‐laws to non power‐law behaviors. We suggest that the detection of patterns of correlated domains in monitored regions can be crucial to identify the response of the system to perturbations, i.e., for hazard assessment.