EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE

Detalhes bibliográficos
Autor(a) principal: Soriano, Balbina Maria Araújo
Data de Publicação: 2015
Outros Autores: Daniel, Omar, Santos, Sandra Aparecida
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/20231
Resumo: http://dx.doi.org/10.5902/1980509820231The objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables and the occurrence of hotspots as well as the comparison between the fire risk indices of Angstron (B), Logarithmic index of Telicyn (I), Nesterov Index (G), Monte Alegre Index (FMA) and Modified Monte Alegre Index (FMA+). Meteorological data were collected at 14 hours in the Nhumirim climatological station and hotspots during night of the NOAA12 and NOAA15 from 1999 to 2008. The wind speed and relative humidity were the meteorological variables which best correlated with the occurrence of fire. To detect any degree of fire risk, the FMA, the G and FMA+ were the most efficient indices. For the detection of degrees of fire risk classes very high and high, the G was the most efficient, followed by the FMA. Considering the high probability of success in detecting fire risks in any degree and also in the class of the most high risk, the FMA can be deemed more appropriate for estimating the fire risk for Nhecolândia sub-region.
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spelling EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSEEFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSEMonte Alegre indexforest fireshotspotsmeteorological variables.fórmula de Monte Alegrequeimadafocos de calorvariáveis meteorológicas.http://dx.doi.org/10.5902/1980509820231The objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables and the occurrence of hotspots as well as the comparison between the fire risk indices of Angstron (B), Logarithmic index of Telicyn (I), Nesterov Index (G), Monte Alegre Index (FMA) and Modified Monte Alegre Index (FMA+). Meteorological data were collected at 14 hours in the Nhumirim climatological station and hotspots during night of the NOAA12 and NOAA15 from 1999 to 2008. The wind speed and relative humidity were the meteorological variables which best correlated with the occurrence of fire. To detect any degree of fire risk, the FMA, the G and FMA+ were the most efficient indices. For the detection of degrees of fire risk classes very high and high, the G was the most efficient, followed by the FMA. Considering the high probability of success in detecting fire risks in any degree and also in the class of the most high risk, the FMA can be deemed more appropriate for estimating the fire risk for Nhecolândia sub-region.http://dx.doi.org/10.5902/1980509820231O objetivo deste trabalho foi comparar os índices de risco de incêndios a partir de focos de calor e definiro mais eficiente para as condições do Pantanal Sul-mato-grossense, com base em dados meteorológicos enúmero de focos de calor. O trabalho consistiu na análise de correlação entre variáveis meteorológicas ea ocorrência dos focos de calor, bem como a comparação entre os índices de risco de incêndios: Angströn(B), Telicyn (I), Nesterov (G), Monte Alegre (FMA) e Monte Alegre Modificada (FMA+). Foram utilizadosdados meteorológicos coletados às 14 horas na estação Climatológica Principal de Nhumirim e de focosde calor da passagem noturna do NOAA (12 e 15), no período de 1999 a 2008. A velocidade do ventoe a umidade relativa do ar foram as variáveis meteorológicas que apresentaram maior correlação com aocorrência de focos de calor. Para detecção de qualquer grau de risco de incêndio, a FMA, o G e a FMA+foram os índices mais eficientes. Para a detecção de graus de risco de incêndio nas classes Muito alto e Alto,o G foi o mais eficiente, seguido da FMA. Considerando a alta probabilidade de acerto na detecção de riscosde incêndio em qualquer grau e também nas classes de Alto risco a mais, a FMA pode ser considerada amais adequada para estimar o risco de ocorrência de incêndios para a sub-região da Nhecolândia.Universidade Federal de Santa Maria2015-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/2023110.5902/1980509820231Ciência Florestal; Vol. 25 No. 4 (2015); 809-816Ciência Florestal; v. 25 n. 4 (2015); 809-8161980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/20231/pdfSoriano, Balbina Maria AraújoDaniel, OmarSantos, Sandra Aparecidainfo:eu-repo/semantics/openAccess2017-04-10T11:51:02Zoai:ojs.pkp.sfu.ca:article/20231Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-04-10T11:51:02Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
spellingShingle EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
Soriano, Balbina Maria Araújo
Monte Alegre index
forest fires
hotspots
meteorological variables.
fórmula de Monte Alegre
queimada
focos de calor
variáveis meteorológicas.
title_short EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
title_full EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
title_fullStr EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
title_full_unstemmed EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
title_sort EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
author Soriano, Balbina Maria Araújo
author_facet Soriano, Balbina Maria Araújo
Daniel, Omar
Santos, Sandra Aparecida
author_role author
author2 Daniel, Omar
Santos, Sandra Aparecida
author2_role author
author
dc.contributor.author.fl_str_mv Soriano, Balbina Maria Araújo
Daniel, Omar
Santos, Sandra Aparecida
dc.subject.por.fl_str_mv Monte Alegre index
forest fires
hotspots
meteorological variables.
fórmula de Monte Alegre
queimada
focos de calor
variáveis meteorológicas.
topic Monte Alegre index
forest fires
hotspots
meteorological variables.
fórmula de Monte Alegre
queimada
focos de calor
variáveis meteorológicas.
description http://dx.doi.org/10.5902/1980509820231The objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables and the occurrence of hotspots as well as the comparison between the fire risk indices of Angstron (B), Logarithmic index of Telicyn (I), Nesterov Index (G), Monte Alegre Index (FMA) and Modified Monte Alegre Index (FMA+). Meteorological data were collected at 14 hours in the Nhumirim climatological station and hotspots during night of the NOAA12 and NOAA15 from 1999 to 2008. The wind speed and relative humidity were the meteorological variables which best correlated with the occurrence of fire. To detect any degree of fire risk, the FMA, the G and FMA+ were the most efficient indices. For the detection of degrees of fire risk classes very high and high, the G was the most efficient, followed by the FMA. Considering the high probability of success in detecting fire risks in any degree and also in the class of the most high risk, the FMA can be deemed more appropriate for estimating the fire risk for Nhecolândia sub-region.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-30
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://periodicos.ufsm.br/cienciaflorestal/article/view/20231
10.5902/1980509820231
url https://periodicos.ufsm.br/cienciaflorestal/article/view/20231
identifier_str_mv 10.5902/1980509820231
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/20231/pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 25 No. 4 (2015); 809-816
Ciência Florestal; v. 25 n. 4 (2015); 809-816
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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