Titolo:  An optimal Cellular Automata algorithm for simulating wildfire spread
Data di pubblicazione:  2015
Autori:  Ghisu T; Arca B; Pellizzaro G; Duce P
Numero degli autori:  4
Lingua:  Inglese
Presenza coautori internazionali:  no
Volume:  71
Pagina iniziale:  1
Pagina finale:  14
Numero di pagine:  14
Digital Object Identifier (DOI):  http://dx.doi.org/10.1016/j.envsoft.2015.05.001
Codice identificativo Scopus:  2-s2.0-84929994190
Codice identificativo ISI:  WOS:000358627500001
URL:  www.elsevier.com/inca/publications/store/4/2/2/9/2/1
Abstract:  Raster-based methods for simulating wildfire spread are computationally more efficient than vectorbased approaches. In spite of this, their success has been limited by the distortions that affect the fire shapes. This work presents a Cellular Automata (CA) approach that is able to mitigate the problem of distorted fire shapes thanks to a redefinition of the spread velocity, where the equations generally used in vector-based approaches are modified by means of some correction factors. A numerical optimization approach is used to find the optimal values for the correction factors. The results are compared to the ones given by two Cellular Automata simulators from the literature under homogeneous conditions. According to this work, the proposed approach provides better results, in terms of accuracy, at a comparable computational cost. The proposed approach has then been compared to Farsite, a vector-based fire-spread simulator, under realistic slope and wind conditions, producing equivalent results in a reduced computational time.
Parole Chiave:  Cellular automata; Optimization; Raster-based techniques; Tabu search; Vector-based techniques; Wildland fire spread; Ecological Modeling; Environmental Engineering; Software
Tipologia: 1.1 Articolo in rivista

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