Abstract
This work deals with a new methodology for the definition of volcanic susceptibly hazard maps through Cellular Automata and Genetic Algorithms. Specifically, the paper describes the proposed approach and presents the first results to the South-Eastern flank of Mt. Etna (Sicily, Italy). In particular, resulting hazard maps are characterized by a high degree of detail and allow for a punctual and accurate evaluation of the risk related to lava invasion.
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D’Ambrosio, D., Rongo, R., Spataro, W., Avolio, M.V., Lupiano, V. (2006). Lava Invasion Susceptibility Hazard Mapping Through Cellular Automata. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_53
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DOI: https://doi.org/10.1007/11861201_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40929-8
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