EFFICIENCY OF FIRE RISK INDICES FOR PANTANAL SUL-MATO-GROSSENSE
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
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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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 |
_version_ |
1799944130439151616 |