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Simulation of wildland fires in large-scale eterogeneous environements

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dc.contributor.author Alexandridis, A en
dc.contributor.author Russo, L en
dc.contributor.author Vakalis, D en
dc.contributor.author Siettos, CI en
dc.date.accessioned 2014-03-01T02:04:07Z
dc.date.available 2014-03-01T02:04:07Z
dc.date.issued 2011 en
dc.identifier.issn 19749791 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29384
dc.subject.other Computational methodology en
dc.subject.other Forest landscape en
dc.subject.other Terrain slope en
dc.subject.other Transfer mechanisms en
dc.subject.other Vegetation type en
dc.subject.other Wildland fire en
dc.subject.other Wind field en
dc.subject.other Cellular automata en
dc.subject.other Landforms en
dc.subject.other Pattern recognition systems en
dc.subject.other Vegetation en
dc.subject.other Fires en
dc.title Simulation of wildland fires in large-scale eterogeneous environements en
heal.type journalArticle en
heal.identifier.primary 10.3303/CET1124073 en
heal.identifier.secondary http://dx.doi.org/10.3303/CET1124073 en
heal.publicationDate 2011 en
heal.abstract This paper presents a computational methodology for predicting the evolution of fire fronts on wild forest landscapes, based on Cellular Automata (CA). The CA framework takes into account various microscopic/detailed and macroscopic factors that affect the spread of fire including the vegetation type, density and height, the wind field, the terrain slope, the spotting fire transfer mechanism as well as suppression tactics. The model was successfully applied to a large scale wildfire that occurred in the mountain of Parnitha, Greece in 2007. © 2011, AIDIC Servizi S.r.l. en
heal.journalName Chemical Engineering Transactions en
dc.identifier.doi 10.3303/CET1124073 en
dc.identifier.volume 24 en
dc.identifier.spage 433 en
dc.identifier.epage 438 en


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