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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5323

Authors: Behncke, B.*
Pshenichny, C. A.*
Title: Modeling unusual eruptive behavior of Mt. Etna, Italy, by means of event bush
Title of journal: Journal of Volcanology and Geothermal Research
Series/Report no.: /185 (2009)
Publisher: Elsevier
Issue Date: 20-Aug-2009
DOI: 10.1016/j.jvolgeores.2009.04.020
Keywords: Etna
Event bush method
artificial intelligence
Abstract: One 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.
Appears in Collections:05.01.05. Algorithms and implementation
Papers Published / Papers in press

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