Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano

  • Authors:

  • Rocco Rongo;William Spataro;Donato D'Ambrosio;Maria Vittoria Avolio;Giuseppe A. Trunfio;Salvatore Di Gregorio

  • Affiliations:

  • Department of Earth Sciences & High Performance Computing Center, University of Calabria, Rende, Italy. rongo@unical.it;(Correspd.: Dipartimento di Matematica - Università della Calabria, Via P. Bucci, 87036 Arcavacata di Rende, Italy) Department of Mathematics & High Performance Computing Center, University o ...;Department of Mathematics & High Performance Computing Center, University of Calabria, Rende, Italy. d.dambrosio@unical.it;Department of Mathematics, University of Calabria, Rende, Italy. avoliomv@unical.it;Department of Architecture and Planning, University of Sassari, Alghero, Italy. trunfio@uniss.it;Department of Mathematics & High Performance Computing Center, University of Calabria, Rende, Italy. dig@unical.it

  • Venue:
  • Fundamenta Informaticae - Membrane Computing
  • Year:
  • 2008

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Abstract

A hybrid technique based on Cellular Automata and Genetic Algorithms has been used for modeling lava flows on Mt Etna volcano (Italy). In particular, a Parallel Master-Slave Genetic Algorithm has been applied to evolve a two dimensional Cellular Automatamodel for "aa"-type lava flows, typical of the considered study area. Specifically, the 2001 Etnean Nicolosi case study has been considered for model calibration, while a subsequent validation phase has been performed by considering further events occurred in the same area. Results have confirmed both the goodness of the cellular automata simulation model and of the genetic algorithm employed for its calibration. An application concerning hazard evaluation has been subsequently performed on a vast area of the volcano, regarding different types of vulnerability assessments. Results have pointed out the validity of the methodology and its usefulness for Civil Defence purposes.