In order to characterize landslide frequency-size distributions and
individuate hazard scenarios and their possible precursors, we investigate a
cellular automaton where the effects of a finite driving rate and the
anisotropy are taken into account. The model is able to reproduce observed
features of landslide events, such as power-law distributions, as
experimentally reported. We analyze the key role of the driving rate and show
that, as it is increased, a crossover from power-law to non power-law behaviors
occurs. Finally, a systematic investigation of the model on varying its
anisotropy factors is performed and the full diagram of its dynamical behaviors
is presented.Comment: 8 pages, 9 figure