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

doi:doi:10.1029/2005GL024759

Abstract

E. Piegari

Dipartimento di Scienze Fisiche, Universitá di Napoli “Federico II,” Istituto Nazionale de Fisica Nucleare, Centro di Competenza Regionale per l'Analisi e il Monitoraggio del Rischio Ambientale, Coherentia Centro Nazionale delle Ricerche, Naples, Italy

V. Cataudella

R. Di Maio

L. Milano

M. Nicodemi

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.

Received 27 September 2005; accepted 22 November 2005; published 13 January 2006.

Citation: Piegari, E., V. Cataudella, R. Di Maio, L. Milano, and M. Nicodemi (2006), A cellular automaton for the factor of safety field in landslides modeling, Geophys. Res. Lett., 33, L01403, doi:10.1029/2005GL024759.

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