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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
D’Ambrosio, D., Rongo, R., Spataro, W., Avolio, M. V., & Lupiano, V. (2006). Lava invasion susceptibility hazard mapping through cellular automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4173 LNCS, pp. 452–461). Springer Verlag. https://doi.org/10.1007/11861201_53
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