Modelling Macroscopic Phenomena with Cellular Automata and Parallel Genetic Algorithms: An Application to Lava Flows

Authors:
Maria Vittoria Avolio;Donato D'Ambrosio;Salvatore Gregorio;Rocco Rongo;William Spataro;Giuseppe A. Trunfio
Affiliations:
Department of Earth Sciences, University of Calabria, 87036 Rende (CS), Italy;Department of Mathematics, University of Calabria, 87036 Rende (CS), Italy;Department of Mathematics, University of Calabria, 87036 Rende (CS), Italy;Department of Earth Sciences, University of Calabria, 87036 Rende (CS), Italy;Department of Mathematics, University of Calabria, 87036 Rende (CS), Italy;DAP, University of Sassari, 07041 Alghero (SS), Italy
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

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Abstract

Forecasting through simulations the shape of lava invasions in a real topography represents a challenging problem, especially considering that the phenomenon usually evolves for a long time (e.g. from a few to hundreds of days) and on very large areas. In the latest years, Cellular Automata (CA) have been well recognized as a valid computational approach in lava flow modelling. In this paper we present some significant developments of SCIARA, a family of deterministic CA models of lava flows which are optimized for a specific scenario through the use of a parallel genetic algorithm. Following a calibration-validation approach, the model outcomes are compared with three real events of lava effusion.