Application Context of the SCIDDICA Model Family for Simulations of Flow-Like Landslides

Cellular Automata (CA) are parallel computing models whose evolution is governed by purely local laws. The global dynamics of complex systems simulated by means of CA emerges from the local interactions of their elementary components. Some macroscopic natural phenomena are included in the class of such complex systems. Among them, of particular interest are several W\SHVRI³VXUIDFHIORZV´ where typical examples are debris flows and lava flows. In this review paper, a methodology for modelling complex natural systems through Macroscopic Cellular Automata (MCA) is presented and applied to flow-­type landslides simulations. Specifically, we will show the SCIDDICA family models, with particular reference to the hexagonal release of MCA models for the simulation of flow-­type landslides. The models, here presented, are initially adopted for subaerial flow-­like landslides simulations, and applied recently to combined subaerial-­subaqueous flow-­like landslides.