A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990

Alexandridis, A; Vakalis, D; Siettos, CI; Bafas, GV

dc.contributor.author	Alexandridis, A	en
dc.contributor.author	Vakalis, D	en
dc.contributor.author	Siettos, CI	en
dc.contributor.author	Bafas, GV	en
dc.date.accessioned	2014-03-01T01:27:39Z
dc.date.available	2014-03-01T01:27:39Z
dc.date.issued	2008	en
dc.identifier.issn	0096-3003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18520
dc.subject	Cellular automata	en
dc.subject	Fire spread dynamics prediction	en
dc.subject	Forest wildfires	en
dc.subject	Geographical information systems	en
dc.subject	Heterogeneous landscapes	en
dc.subject	Spetses island	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Agriculture	en
dc.subject.other	Automata theory	en
dc.subject.other	Cellular automata	en
dc.subject.other	Deforestation	en
dc.subject.other	Forestry	en
dc.subject.other	Landforms	en
dc.subject.other	Nonlinear programming	en
dc.subject.other	Pattern recognition systems	en
dc.subject.other	Real time systems	en
dc.subject.other	Regulatory compliance	en
dc.subject.other	Translation (languages)	en
dc.subject.other	Black boxes	en
dc.subject.other	Cellular automata model	en
dc.subject.other	Evolution characteristics	en
dc.subject.other	Fire risks	en
dc.subject.other	Fire spread dynamics prediction	en
dc.subject.other	Forest fire spreading	en
dc.subject.other	Forest fires	en
dc.subject.other	Forest wildfires	en
dc.subject.other	Geographical information systems	en
dc.subject.other	Heterogeneous landscapes	en
dc.subject.other	Management tools	en
dc.subject.other	Non-linear optimizations	en
dc.subject.other	Simulation results	en
dc.subject.other	Space and time	en
dc.subject.other	Spetses island	en
dc.subject.other	Wind speed	en
dc.subject.other	Fires	en
dc.subject.other	Agriculture	en
dc.subject.other	Deforestation	en
dc.subject.other	Forest Fires	en
dc.subject.other	Information Systems	en
dc.subject.other	Mathematical Models	en
dc.subject.other	Nonlinear Programing	en
dc.subject.other	Optimization	en
dc.subject.other	Parameters	en
dc.subject.other	Plants	en
dc.subject.other	Risk Assessment	en
dc.subject.other	Robots	en
dc.title	A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.amc.2008.06.046	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.amc.2008.06.046	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	We present and illustrate the simulation results of a cellular automata model describing the dynamics of a forest fire spread on a mountainous landscape taking into account factors such as the type and density of vegetation, the wind speed and direction and the spotting phenomenon. The model is used to simulate the wildfire that broke up on Spetses in August of 1990 and destroyed a major part of the Island's forest. We used a black-box non-linear optimization approach to fine-tune some of the model's parameters based on a geographical information system incorporating available data from the real forest fire. The comparison between the simulation and the actual-observed results showed that the proposed model predicts in a quite adequate manner the evolution characteristics in space and time of the real incident and as such could be potentially used to develop a fire risk-management tool for heterogeneous landscapes. © 2008 Elsevier Inc. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE INC	en
heal.journalName	Applied Mathematics and Computation	en
dc.identifier.doi	10.1016/j.amc.2008.06.046	en
dc.identifier.isi	ISI:000259323600025	en
dc.identifier.volume	204	en
dc.identifier.issue	1	en
dc.identifier.spage	191	en
dc.identifier.epage	201	en