2001Unpublished venueRequires access

A network of cellular automata for a landslide simulation

Claudia Roberta Calidonna, Claudia Di Napoli, Maurizio Giordano, Mario Mango Furnari, Salvatore Di Gregorio

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Abstract

Cellular Automata (CA) offer a promising computational model to simulate complex phenomena that are characterized by different coupled parameters that account for the interactions of their different components. In this paper we present the Cellular Automata Network (CAN) computational model and its application to the simulation of debris/flow phenomena. We carried out some experimentations developing a CAN application that implements the SCIDDICA model (Simulation through Computational Innovative methods for the Detection of Debris flow path using Interactive Cellular Automatamodel), tested on the landslide occurred in Sarno (Italy) in 1998.

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What this paper is about

Cellular Automata (CA) offer a promising computational model to simulate complex phenomena that are characterized by different coupled parameters that account for the interactions of their different components. In this paper we present the Cellular Automata Network (CAN) computational model and its application to the simulation of debris/flow phenomena. We carried out some experimentations developing a CAN application that implements the SCIDDICA model (Simulation through Computational Innovative methods for the Detection of Debris flow path using Interactive Cellular Automatamodel), tested on the landslide occurred in Sarno (Italy) in 1998.

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Available abstract

Cellular Automata (CA) offer a promising computational model to simulate complex phenomena that are characterized by different coupled parameters that account for the interactions of their different components. In this paper we present the Cellular Automata Network (CAN) computational model and its application to the simulation of debris/flow phenomena. We carried out some experimentations developing a CAN application that implements the SCIDDICA model (Simulation through Computational Innovative methods for the Detection of Debris flow path using Interactive Cellular Automatamodel), tested on the landslide occurred in Sarno (Italy) in 1998.

Key concepts: Cellular automaton, Debris flow, Computer science, Landslide, Debris, Flow (mathematics), Automaton, Path (computing)

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