Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5323
AuthorsBehncke, B.* 
Pshenichny, C. A.* 
TitleModeling unusual eruptive behavior of Mt. Etna, Italy, by means of event bush
Issue Date20-Aug-2009
Series/Report no./185 (2009)
DOI10.1016/j.jvolgeores.2009.04.020
URIhttp://hdl.handle.net/2122/5323
KeywordsEtna
Event bush method
artificial intelligence
Subject Classification05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractOne of the best-studied volcanoes of the world, Mt. previous termEtnanext term in Sicily, repeatedly exhibits eruptive scenarios that depart from the behavior commonly considered typical for this volcano. Episodes of intense explosive activity, pyroclastic flows, dome growth and cone collapse pose a variety of previously underestimated threats to human lives in the summit area of the volcano. However, retrospective analysis of these events shows that they were likely caused by the same very sets of premises and starting conditions as “normal” eruptions, yet combined in an unexpected, probably unique, way. To cope with such unexpected consequences, we involve an approach of artificial intelligence developed specially for needs of the geosciences, the event bush. Scenarios inferred from the event bush fit the observed ones and allow to foresee other low-probability events that may occur at the volcano. Application of the event bush provides a more impartial vision of volcanic phenomena and may serve as an intermediary between expert knowledge and numerical assessment, e.g., by means of Bayesian Belief Networks.
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