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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Numerical simulation of surface forest fire in Brazilian Amazon

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Author(s):
Bufacchi, Paulo [1] ; Krieger, Guenther C. [1] ; Mell, William [2] ; Alvarado, Ernesto [3] ; Santos, Jose Carlos [4] ; Carvalho, Jr., Joao Andrade [5]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Escola Politecn, Dept Mech Engn, Cidade Univ, Sao Paulo, SP - Brazil
[2] US Forest Serv, Pacific NW Res Stn, Pacific Wildland Fire Sci Lab, Seattle, WA - USA
[3] Univ Washington, Sch Forest Resources, Pacific Wildland Fire Sci Lab, Seattle, WA 98195 - USA
[4] INPE, Cachoeira Paulista, SP - Brazil
[5] Univ Estadual Paulista UNESP, Guaratingueta, SP - Brazil
Total Affiliations: 5
Document type: Journal article
Source: FIRE SAFETY JOURNAL; v. 79, p. 44-56, JAN 2016.
Web of Science Citations: 8
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. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 08/04490-4 - Combustion of tropical forest biomass
Grantee:João Andrade de Carvalho Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 11/20679-2 - Prediction of propagation of surface fires in rain forests using porous media model
Grantee:Guenther Carlos Krieger Filho
Support Opportunities: Scholarships abroad - Research