FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS

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Autor principal: Benjamin Leonardo Alves White
Formato: Artículo científico
Lenguaje:en
Publicado: Universidade Federal de Lavras 2016
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author Benjamin Leonardo Alves White
author_facet Benjamin Leonardo Alves White
contents FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS Benjamin Leonardo Alves White Larissa Alves Secundo White Genésio Tâmara Ribeiro Rosemeri Melo Souza Agrociencias Forest fires Fire simulation Forest protection Knowing how a wildfire will behave is extremely important in order to assist in fire suppression and prevention operations. Since the 1940’s mathematical models to estimate how the fire will behave have been developed worldwide, however, none of them, until now, had their efficiency tested in Brazilian commercial eucalypt plantations nor in other vegetation types in the country. This study aims to verify the accuracy of the Rothermel (1972) fire spread model, the Byram (1959) flame length model, and the fire spread and length equations derived from the McArthur (1962) control burn meters. To meet these objectives, 105 experimental laboratory fires were done and their results compared with the predicted values from the models tested. The Rothermel and Byram models predicted better than McArthur’s, nevertheless, all of them underestimated the fire behavior aspects evaluated and were statistically different from the experimental data. 2016 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74449753004 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.22
format Artículo científico
id redalyc_74449753004
institution Redalyc
language en
publishDate 2016
publisher Universidade Federal de Lavras
spellingShingle FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS
Benjamin Leonardo Alves White
Agrociencias
Forest fires
Fire simulation
Forest protection
FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS Benjamin Leonardo Alves White Larissa Alves Secundo White Genésio Tâmara Ribeiro Rosemeri Melo Souza Agrociencias Forest fires Fire simulation Forest protection Knowing how a wildfire will behave is extremely important in order to assist in fire suppression and prevention operations. Since the 1940’s mathematical models to estimate how the fire will behave have been developed worldwide, however, none of them, until now, had their efficiency tested in Brazilian commercial eucalypt plantations nor in other vegetation types in the country. This study aims to verify the accuracy of the Rothermel (1972) fire spread model, the Byram (1959) flame length model, and the fire spread and length equations derived from the McArthur (1962) control burn meters. To meet these objectives, 105 experimental laboratory fires were done and their results compared with the predicted values from the models tested. The Rothermel and Byram models predicted better than McArthur’s, nevertheless, all of them underestimated the fire behavior aspects evaluated and were statistically different from the experimental data. 2016 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74449753004 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.22
title FIRE BEHAVIOR PREDICTING MODELS EFFICIENCY IN BRAZILIAN COMMERCIAL EUCALYPT PLANTATIONS
topic Agrociencias
Forest fires
Fire simulation
Forest protection
url https://www.redalyc.org/articulo.oa?id=74449753004