@Article{BufacchiKrMeAlSaCa:2016:NuSiSu,
author = "Bufacchi, Paulo and Krieger, Guenther C. and Mell, William and
Alvarado, Ernesto and Santos, Jos{\'e} Carlos dos and Carvalho
J{\'u}nior, Jo{\~a}o Andrade",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {US Forest Serv} and {University
Washington} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Universidade Estadual Paulista (UNESP)}",
title = "Numerical simulation of surface forest fire in Brazilian Amazon",
journal = "Fire Safety Journal",
year = "2016",
volume = "79",
pages = "44--56",
month = "Jan.",
keywords = "Surface fire, Numerical simulation, Turbulent combustion,
Brazilian Amazon, Rate of spread.",
abstract = "This paper investigates fire spread through surface fuels of the
Brazilian Amazon by using a three-dimensional, fully transient,
physics-based computer simulation approach. Computer simulations
are obtained through the solution to governing equations of fluid
dynamics, combustion, heat transfer and thermal degradation of the
vegetative fuel. Surface fuel fires composed mostly of dead leaves
and twigs were numerically simulated and the calculated rate of
spread was compared to findings from field observations. The
importance of air humidity, vegetation temperature, moisture
content, surface to volume ratio and bulk density was evaluated
through the variation of each one individually in numerical
simulation runs. Conclusions show that in the range of parameter
variation considered, the most important parameters are the
vegetation moisture, surface area to volume ratio, and bulk
density. The vegetation initial temperature and air humidity, in
the range of variation studied, did not influence the fire rate of
spread. The numerical simulations also showed that the radiation
process is very important and directly affects the fire rate of
spread. Convection is less important because of the absence of
external wind. The model is able to capture the main effects of a
surface forest fire typical of the Amazon, and can be used as a
numerical tool for studying such fires.",
doi = "10.1016/j.firesaf.2015.11.014",
url = "http://dx.doi.org/10.1016/j.firesaf.2015.11.014",
issn = "0379-7112",
language = "en",
targetfile = "bucacchi_numerical.pdf",
urlaccessdate = "03 maio 2024"
}