Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)

Detalhes bibliográficos
Autor(a) principal: Torres,Fillipe Tamiozzo Pereira
Data de Publicação: 2019
Outros Autores: Lima,Gumercindo Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200126
Resumo: ABSTRACT The objective of this study was to analyze the effectiveness of forest fire hazard indices for the Serra do Brigadeiro State Park region (MG). Although no weather station is present in this territory, the use of data obtained in the municipality of Viçosa (38 km distance) was effective to calculate the hazard. According to the results, the use of high and very high hazard classes to predict occurrences proved to be more efficient. The Telicyn, Nesterov, FMA and FMA+ indices showed better results when daily mean data was used while FWI responded better with daily maximum temperature and relative humidity at 3:00 p.m. The P-EVAP and FWI indices were the most efficient to predict fires in the study region.
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spelling Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)firePESBpredictionABSTRACT The objective of this study was to analyze the effectiveness of forest fire hazard indices for the Serra do Brigadeiro State Park region (MG). Although no weather station is present in this territory, the use of data obtained in the municipality of Viçosa (38 km distance) was effective to calculate the hazard. According to the results, the use of high and very high hazard classes to predict occurrences proved to be more efficient. The Telicyn, Nesterov, FMA and FMA+ indices showed better results when daily mean data was used while FWI responded better with daily maximum temperature and relative humidity at 3:00 p.m. The P-EVAP and FWI indices were the most efficient to predict fires in the study region.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200126Floresta e Ambiente v.26 n.2 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.030417info:eu-repo/semantics/openAccessTorres,Fillipe Tamiozzo PereiraLima,Gumercindo Souzaeng2019-07-22T00:00:00Zoai:scielo:S2179-80872019000200126Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2019-07-22T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
title Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
spellingShingle Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
Torres,Fillipe Tamiozzo Pereira
fire
PESB
prediction
title_short Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
title_full Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
title_fullStr Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
title_full_unstemmed Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
title_sort Forest Fire Hazard in the Serra do Brigadeiro State Park (MG)
author Torres,Fillipe Tamiozzo Pereira
author_facet Torres,Fillipe Tamiozzo Pereira
Lima,Gumercindo Souza
author_role author
author2 Lima,Gumercindo Souza
author2_role author
dc.contributor.author.fl_str_mv Torres,Fillipe Tamiozzo Pereira
Lima,Gumercindo Souza
dc.subject.por.fl_str_mv fire
PESB
prediction
topic fire
PESB
prediction
description ABSTRACT The objective of this study was to analyze the effectiveness of forest fire hazard indices for the Serra do Brigadeiro State Park region (MG). Although no weather station is present in this territory, the use of data obtained in the municipality of Viçosa (38 km distance) was effective to calculate the hazard. According to the results, the use of high and very high hazard classes to predict occurrences proved to be more efficient. The Telicyn, Nesterov, FMA and FMA+ indices showed better results when daily mean data was used while FWI responded better with daily maximum temperature and relative humidity at 3:00 p.m. The P-EVAP and FWI indices were the most efficient to predict fires in the study region.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200126
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000200126
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.030417
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.2 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
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