FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX

Detalhes bibliográficos
Autor(a) principal: Pereira, José Fernando
Data de Publicação: 2016
Outros Autores: Batista, Antonio Carlos, Soares, Ronaldo Viana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/834
Resumo: This research was carried out in a Pinus elliottii plantation, established in 1984, located in the Rio Negro Forest Research Station- Rio Negro – Paraná, owned by the Paraná Federal University, Paraná State, Brazil. The research objectives were to analyze the correlations between the FMA and FMA+ fire danger indices and the fine fuel moisture, and develop mathematical models to estimate the fuel moisture based on these indices. The meteorological variables were obtained from a SIMEPAR weather station, located 50km away, and from a pluviograph and a thermo-hygrograph installed in the study area. The dead forest fuels were collected from 30x30cm plots, between 12 noon and 2:00PM, and classified as: AA – surface layer; AB – intermediate layer; AC – lower layer; and B -woody material with 0.7 to 2.5cm diameter. The total fuel load varied from 3185.50 to 4266.01g.m-2. The fire danger indices were daily calculated and the values obtained in the fuel colleting days were used to calculate the correlations. The correlation coefficients between relative humidity and fuel classes were 0.42; 0.36; 0.32; and 0.41 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between precipitation and fuel classes were 0.57; 0.38; 0.34; and 0.15 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between the fuel classes and the FMA+ were -0.53; -0.56; -0.63; and 0.81 for the classes B, AB, AA, and AC, respectively. The FMA+ was the most efficient variable in modeling development to estimate dead forest fuel moisture.
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spelling FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEXMonte Alegre FormulaModified Monte Alegre FormulaForest Fires prevention.This research was carried out in a Pinus elliottii plantation, established in 1984, located in the Rio Negro Forest Research Station- Rio Negro – Paraná, owned by the Paraná Federal University, Paraná State, Brazil. The research objectives were to analyze the correlations between the FMA and FMA+ fire danger indices and the fine fuel moisture, and develop mathematical models to estimate the fuel moisture based on these indices. The meteorological variables were obtained from a SIMEPAR weather station, located 50km away, and from a pluviograph and a thermo-hygrograph installed in the study area. The dead forest fuels were collected from 30x30cm plots, between 12 noon and 2:00PM, and classified as: AA – surface layer; AB – intermediate layer; AC – lower layer; and B -woody material with 0.7 to 2.5cm diameter. The total fuel load varied from 3185.50 to 4266.01g.m-2. The fire danger indices were daily calculated and the values obtained in the fuel colleting days were used to calculate the correlations. The correlation coefficients between relative humidity and fuel classes were 0.42; 0.36; 0.32; and 0.41 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between precipitation and fuel classes were 0.57; 0.38; 0.34; and 0.15 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between the fuel classes and the FMA+ were -0.53; -0.56; -0.63; and 0.81 for the classes B, AB, AA, and AC, respectively. The FMA+ was the most efficient variable in modeling development to estimate dead forest fuel moisture.CERNECERNE2016-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/834CERNE; Vol. 18 No. 3 (2012); 371-376CERNE; v. 18 n. 3 (2012); 371-3762317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/834/613Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessPereira, José FernandoBatista, Antonio CarlosSoares, Ronaldo Viana2016-04-20T09:50:57Zoai:cerne.ufla.br:article/834Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:06.905391Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
title FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
spellingShingle FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
Pereira, José Fernando
Monte Alegre Formula
Modified Monte Alegre Formula
Forest Fires prevention.
title_short FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
title_full FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
title_fullStr FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
title_full_unstemmed FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
title_sort FOREST FUEL MOISTURE VARIATION IN TERMS OF FOREST FIRE DANGER INDEX
author Pereira, José Fernando
author_facet Pereira, José Fernando
Batista, Antonio Carlos
Soares, Ronaldo Viana
author_role author
author2 Batista, Antonio Carlos
Soares, Ronaldo Viana
author2_role author
author
dc.contributor.author.fl_str_mv Pereira, José Fernando
Batista, Antonio Carlos
Soares, Ronaldo Viana
dc.subject.por.fl_str_mv Monte Alegre Formula
Modified Monte Alegre Formula
Forest Fires prevention.
topic Monte Alegre Formula
Modified Monte Alegre Formula
Forest Fires prevention.
description This research was carried out in a Pinus elliottii plantation, established in 1984, located in the Rio Negro Forest Research Station- Rio Negro – Paraná, owned by the Paraná Federal University, Paraná State, Brazil. The research objectives were to analyze the correlations between the FMA and FMA+ fire danger indices and the fine fuel moisture, and develop mathematical models to estimate the fuel moisture based on these indices. The meteorological variables were obtained from a SIMEPAR weather station, located 50km away, and from a pluviograph and a thermo-hygrograph installed in the study area. The dead forest fuels were collected from 30x30cm plots, between 12 noon and 2:00PM, and classified as: AA – surface layer; AB – intermediate layer; AC – lower layer; and B -woody material with 0.7 to 2.5cm diameter. The total fuel load varied from 3185.50 to 4266.01g.m-2. The fire danger indices were daily calculated and the values obtained in the fuel colleting days were used to calculate the correlations. The correlation coefficients between relative humidity and fuel classes were 0.42; 0.36; 0.32; and 0.41 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between precipitation and fuel classes were 0.57; 0.38; 0.34; and 0.15 for the AA, AB, AC, and B classes, respectively. The correlation coefficients between the fuel classes and the FMA+ were -0.53; -0.56; -0.63; and 0.81 for the classes B, AB, AA, and AC, respectively. The FMA+ was the most efficient variable in modeling development to estimate dead forest fuel moisture.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-05
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 https://cerne.ufla.br/site/index.php/CERNE/article/view/834
url https://cerne.ufla.br/site/index.php/CERNE/article/view/834
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/834/613
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 18 No. 3 (2012); 371-376
CERNE; v. 18 n. 3 (2012); 371-376
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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