Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3011
DC FieldValueLanguage
dc.contributor.authorallDel Negro, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italiaen
dc.contributor.authorallFortuna, L.; DIEES - Università di Cataniaen
dc.contributor.authorallHerault, A.; Universitè di Marnee la Valleeen
dc.contributor.authorallVicari, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Catania, Catania, Italiaen
dc.date.accessioned2007-12-07T07:21:31Zen
dc.date.available2007-12-07T07:21:31Zen
dc.date.issued2007en
dc.identifier.urihttp://hdl.handle.net/2122/3011en
dc.description.abstractLava flows represent a challenge for physically based modeling, since the mechanical properties of lava change over time. This change is ruled by a temperature field, which needs to be modeled. MAGFLOW Cellular Automata (CA) model was developed for physically based simulations of lava flows in near real-time. We introduced an algorithm based on the Monte Carlo approach to solve the anisotropic problem. As transition rule of CA, a steady state solution of Navier-Stokes equations was adopted in the case of isothermal laminar pressure-driven Bingham fluid. For the cooling mechanism, we consider the radiative heat loss only from the surface of the flow, and the change of the temperature due to mixture of lavas between cells with different temperatures. The model was applied to reproduce a real lava flow occurred during the 2004-2005 Etna eruption. The simulations were computed using three different empirical relationships between viscosity and temperature.en
dc.language.isoEnglishen
dc.relation.ispartofBulletin of Volcanologyen
dc.subjectLava Flow Simulationen
dc.subjectEtnaen
dc.subjectCellular Automataen
dc.titleSimulations of the 2004 lava flow at Etna volcano by the magflow cellular automata modelen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumberOn line Firsten
dc.identifier.URLhttp://hdl.handle.net/2122/2627en
dc.subject.INGV04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risken
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networksen
dc.identifier.doi10.1007/s00445-007-0168-8en
dc.description.obiettivoSpecifico4.3. TTC - Scenari di pericolosità vulcanicaen
dc.description.journalTypeJCR Journalen
dc.description.fulltextpartially_openen
dc.contributor.authorDel Negro, C.en
dc.contributor.authorFortuna, L.en
dc.contributor.authorHerault, A.en
dc.contributor.authorVicari, A.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italiaen
dc.contributor.departmentDIEES - Università di Cataniaen
dc.contributor.departmentUniversitè di Marnee la Valleeen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italiaen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Irpinia, Grottaminarda, Italia-
crisitem.author.orcid0000-0001-5734-9025-
crisitem.author.orcid0000-0003-2285-2979-
crisitem.author.orcid0000-0003-0175-101X-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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