@InProceedings{AlmeidaMaca:2010:SuFiSp,
author = "Almeida, Rodolfo Maduro and Macau, Elbert Einstein Nehrer",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Surface fire spread model based on stochastic cellular automata",
booktitle = "Anais...",
year = "2010",
editor = "Rodrigues, Rita de C{\'a}ssia Meneses and Almeida, Wesley Gomes
de and Assis, Talita Oliveira and Chalhoub, Ezzat Selim and
Cortivo, F{\'a}bio Dall and Fran{\c{c}}a, Luis Fernando Amorim
and Macau, Elbert Einstein Nehrer and Oliveira, Rudinei Martins de
and Pillat, Valdir Gil and Santos, Laurita dos and Serpa, Dalila
Ribeiro and Silva, Jos{\'e} Demisio Sim{\~o}es da and Silva,
Marlon da",
organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE,
10. (WORCAP).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "wildland fire spread, percolation theory, cellular automata.",
abstract = "A surface fire spread model based on stochastic cellular automata
is proposed and its dynamics is characterized and analyzed. The
model attempts to model the dynamics of the fire surface spread in
vegetation fires that occur under flat terrain and no-wind
conditions. Each cell is characterized by one of the three states
that are: vegetation cell, burning cell and burnt cell. The
dynamics of fire spread is modeled as a stochastic event with an
effective fire spread probability S which is a function of three
probabilities: the proportion of vegetation cells across the
lattice, the probability of a burning cell become burnt, and the
probability of the fire spread from a burning cell to a neighbor
vegetation cell. A set of simulation experiments are performed to
analyze the effects of different values of the three probabilities
in the fire pattern.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "20 e 21 out. 2010",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP8W/389CP25",
url = "http://urlib.net/rep/8JMKD3MGP8W/389CP25",
targetfile = "almeida_rm.pdf",
type = "Modelagem Computacional",
urlaccessdate = "24 jan. 2021"
}