Wildland fire spread modelling using cellular automata

dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.contributor.author	Russo, Lucia	it
dc.contributor.author	Βακάλης, Δημήτρης	el
dc.contributor.author	Μπάφας, Γιώργος Β.	el
dc.contributor.author	Σιέττος, Κωνσταντίνος Ι.	el
dc.date.accessioned	2015-06-03T19:10:21Z
dc.date.issued	2015-06-03
dc.identifier.uri	http://hdl.handle.net/11400/15007
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.publish.csiro.au/	en
dc.subject	Complex systems
dc.subject	geographical information systems
dc.subject	mountainous landscapes
dc.subject	υστήματα γεωγραφικών πληροφοριών
dc.subject	πολύπλοκα συστήματα
dc.subject	ορεινά τοπία
dc.title	Wildland fire spread modelling using cellular automata	en
heal.type	journalArticle
heal.secondaryTitle	evolution in large-scale spatially heterogeneous environments under fire suppression tactics	en
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Geography
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classification	Γεωγραφία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85053986
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.classificationURI	N/A-Γεωγραφία
heal.keywordURI	http://zbw.eu/stw/descriptor/27590-4
heal.identifier.secondary	DOI: 10.1071/WF09119
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2011
heal.bibliographicCitation	ALEXANDRIDIS, A.P., RUSSO, L., VAKALIS, D., BAFAS, G.V. & SIETTOS, C.I. (2011). Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics. International Journal of Wildland Fire. [online] 20 (5). p. 633-647. Available from: http://www.publish.csiro.au/	en
heal.abstract	We show how microscopic modelling techniques such as Cellular Automata linked with detailed geographical information systems (GIS) and meteorological data can be used to efficiently predict the evolution of fire fronts on mountainous and heterogeneous wild forest landscapes. In particular, we present a lattice-based dynamic model that includes various factors, ranging from landscape and earth statistics, attributes of vegetation and wind field data to the humidity of the fuel and the spotting transfer mechanism. We also attempt to model specific fire suppression tactics based on air tanker attacks utilising technical specifications as well as operational capabilities of the aircrafts. We use the detailed model to approximate the dynamics of a large-scale fire that broke out in a region on the west flank of the Greek National Park of Parnitha Mountain in June of 2007. The comparison between the simulation and the actual results showed that the proposed model predicts the fire-spread characteristics in an adequate manner. Finally, we discuss how such a detailed model can be exploited in order to design and develop, in a systematic way, fire risk management policies.	en
heal.publisher	CSIRO Publishing	en
heal.journalName	International Journal of Wildland Fire	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false