Simulation of wildland fires in large-scale eterogeneous environements

dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.contributor.author	Russo, Lucia	it
dc.contributor.author	Βακάλης, Δημήτρης	el
dc.contributor.author	Σιέττος, Κωνσταντίνος Ι.	el
dc.date.accessioned	2015-06-03T20:33:38Z
dc.date.available	2015-06-03T20:33:38Z
dc.date.issued	2015-06-03
dc.identifier.uri	http://hdl.handle.net/11400/15010
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.aidic.it/	en
dc.subject	Landforms
dc.subject	Pattern recognition systems
dc.subject	Vegetation
dc.subject	Computational methodology
dc.subject	Forest landscape
dc.subject	Γεωμορφές
dc.subject	Συστήματα αναγνώρισης προτύπων
dc.subject	Βλάστηση
dc.subject	Υπολογιστική μεθοδολογία
dc.subject	Δασικό τοπίο
dc.title	Simulation of wildland fires in large-scale eterogeneous environements	en
heal.type	journalArticle
heal.classification	Geography
heal.classification	Technology
heal.classification	Environmental technology
heal.classification	Τεχνολογία
heal.classification	Τεχνολογία
heal.classification	Περιβαλλοντική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85053986
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://lod.nal.usda.gov/5857
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Περιβαλλοντική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85098791
heal.identifier.secondary	DOI: 10.3303/CET1124073
heal.language	en
heal.access	campus
heal.publicationDate	2011
heal.bibliographicCitation	ALEXANDRIDIS, A.P., RUSSO, L., VAKALIS, D., BAFAS, G.V. & SIETTOS, C.I. (2011). Simulation of wildland fires in large-scale eterogeneous environements. Chemical Engineering Transactions. [online] 24. p. 433-438. Available from: http://www.aidic.it/	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.	en
heal.publisher	Italian Association of Chemical Engineering	en
heal.journalName	Chemical Engineering Transactions	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true