Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations

Detalhes bibliográficos
Autor(a) principal: White, Benjamin Leonardo Alves
Data de Publicação: 2016
Outros Autores: White, Larissa Alves Secundo, Ribeiro, Genésio Tâmara, Souza, Rosemeri Melo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/14559
Resumo: 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.
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spelling Fire behavior predicting models efficiency in brazilian commercial eucalypt plantationsEficiência de modelos de previsão do comportamento do fogo em plantações comerciais de eucalipto no BrasilForest firesForest protectionFire simulationIncêndios florestaisProteção florestalSimulação do fogoKnowing 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.Saber como o fogo irá se comportar durante um incêndio florestal é de fundamental importância a fim de aprimorar e desenvolver atividades de prevenção e combate. Desde a década de 1940, modelos matemáticos para estimar o comportamento do fogo têm sido desenvolvidos no mundo inteiro, entretanto, nenhum deles, até hoje, teve sua eficiência avaliada em plantações comerciais de eucalipto no Brasil nem, tampouco, em outras vegetações encontradas no país. Este estudo tem por objetivo verificar a eficiência do modelo de propagação do fogo superficial de Rothermel (1972), do modelo de comprimento das chamas de Byram (1959) e das equações de velocidade de propagação e comprimento das chamas baseadas nas tabelas de McArthur (1962). Para tal, 105 queimas laboratoriais foram realizadas e seus resultados comparados com os valores estimados pelos modelos testados. O modelo de Rothermel e de Byram previram melhor que o de McArthur, no entanto, todos eles subestimaram as variáveis do comportamento do fogo analisadas e seus valores foram significativamente diferente dos valores experimentais.Universidade Federal de Lavras (UFLA)2016-12-232017-08-01T20:15:15Z2017-08-01T20:15:15Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfWHITE, B. L. A. et al. Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations. CERNE, [Lavras], v. 22, n. 4, p. 389-396, 2016. DOI: 10.1590/01047760201622042226.http://repositorio.ufla.br/jspui/handle/1/145592317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/1399/946Copyright (c) 2016 CERNEAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessWhite, Benjamin Leonardo AlvesWhite, Larissa Alves SecundoRibeiro, Genésio TâmaraSouza, Rosemeri Melo2021-04-25T00:44:24Zoai:localhost:1/14559Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-04-25T00:44:24Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
Eficiência de modelos de previsão do comportamento do fogo em plantações comerciais de eucalipto no Brasil
title Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
spellingShingle Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
White, Benjamin Leonardo Alves
Forest fires
Forest protection
Fire simulation
Incêndios florestais
Proteção florestal
Simulação do fogo
title_short Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
title_full Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
title_fullStr Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
title_full_unstemmed Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
title_sort Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations
author White, Benjamin Leonardo Alves
author_facet White, Benjamin Leonardo Alves
White, Larissa Alves Secundo
Ribeiro, Genésio Tâmara
Souza, Rosemeri Melo
author_role author
author2 White, Larissa Alves Secundo
Ribeiro, Genésio Tâmara
Souza, Rosemeri Melo
author2_role author
author
author
dc.contributor.author.fl_str_mv White, Benjamin Leonardo Alves
White, Larissa Alves Secundo
Ribeiro, Genésio Tâmara
Souza, Rosemeri Melo
dc.subject.por.fl_str_mv Forest fires
Forest protection
Fire simulation
Incêndios florestais
Proteção florestal
Simulação do fogo
topic Forest fires
Forest protection
Fire simulation
Incêndios florestais
Proteção florestal
Simulação do fogo
description 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-23
2017-08-01T20:15:15Z
2017-08-01T20:15:15Z
2017-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv WHITE, B. L. A. et al. Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations. CERNE, [Lavras], v. 22, n. 4, p. 389-396, 2016. DOI: 10.1590/01047760201622042226.
http://repositorio.ufla.br/jspui/handle/1/14559
identifier_str_mv WHITE, B. L. A. et al. Fire behavior predicting models efficiency in brazilian commercial eucalypt plantations. CERNE, [Lavras], v. 22, n. 4, p. 389-396, 2016. DOI: 10.1590/01047760201622042226.
url http://repositorio.ufla.br/jspui/handle/1/14559
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1399/946
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA)
dc.source.none.fl_str_mv 2317-6342
0104-7760
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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