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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 80
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and C.A. Mota Soares
Paper 5
A CA-Based Model for Predicting Forest Fire Spreading S. Hoya White#, A. Hernández Encinas#, L. Hernández Encinas+, A. Martín del Rey* and G. Rodríguez Sánchez$
#Department of Applied Mathematics, E.T.S.I.I., University of Salamanca, Béjar, Spain
Full Bibliographic Reference for this paper
, "A CA-Based Model for Predicting Forest Fire Spreading", in B.H.V. Topping, C.A. Mota Soares, (Editors), "Proceedings of the Fourth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 5, 2004. doi:10.4203/ccp.80.5
Keywords: cellular automata, forest fire model, simulation, ecological modelling, environmental systems, discrete dynamical systems.
Summary
Forest fires is one of the major ecological agents in forests.
Each year, fire burns between six and fourteen million hectares of forest;
consequently they alter the structure and composition of forests and adversely
affect human health and the supply of goods and services on which communities
depend.
As a consequence, fires have received increased public attention worldwide. In this way the scientific community is responding to the challenge addresses forest fires as interesting and complex phenomena requiring a multi-disciplinary approach. Specifically, several mathematical approaches to the study of the spreading of fire have been appeared in the literature (see, for example [1,2,4]). The main goal of this work is to introduce a new model for predicting forest fire spreading. It is based on a particular type of discrete dynamical system called two-dimensional cellular automata (2D-CA for short). Roughly speaking, 2D-CA are dynamical systems for which time and space are discrete. They consist of a collection of a finite two-dimensional array of simple objects, called cells, interacting locally with each other. Each cell can assume a state such that it changes in every time step according to a local rule whose variables are the states of some cells (its neighborhood) at previous time steps.
The proposed model is a modification of the model introduced by Karafyllidis and Thanailakis
in [3]. In that model, the forest is divided into a matrix of identical square cells
and it is represented by a 2D-CA, where each square cell of the forest is considered as a
2D-CA cell. Moreover, the local state of each cell at time ![]() where ![]() ![]() ![]()
The modified model introduced in this work proposes to change the parameter References
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