ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1

Detalhes bibliográficos
Autor(a) principal: Torres,Fillipe Tamiozzo Pereira
Data de Publicação: 2017
Outros Autores: Lima,Gumercindo Souza, Martins,Sebastião Venâncio, Valverde,Sebastião Renato
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Árvore (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000200109
Resumo: ABSTRACT Despite the existence of different fire danger indices, the use of an inefficient index can lead to making wrong decisions on the appropriate procedures for preventing and fighting forest fires, while a trusted prediction index can help the most quantification and allocation of resources for prevention. Thereat, the objective of this study is to analyze the efficiency of Fire Weather Index (FWI), Logarithmic of Telicyn Index, Nesterov Index, cumulative indexes of precipitation - evaporation (P-EVAP) and evaporation / precipitation (EVAP/P), Monte Alegre Index (FMA) and Monte Alegre Changed Index (FMA+) in the prediction of forest fires for the city of Viçosa (MG). The indices were compared using the method known as Skill Score (SS) taking into account the days that the indexes pointed to the risk of events with focus fire identified by satellite images on the 01/01/2005 to 31/12/2014 period. According to the results, the Logarithm of Telicyn Index (0.53257) as the most efficient for the study area, followed by the indices EVAP/P (0.46553), P-EVAP (0.43724), Nesterov (0.40445), FWI (0.39213), FMA+(0.34595) and FMA (0.28982).
id SIF-1_66ba85dafdbb17c7254d82cb8a14dd8f
oai_identifier_str oai:scielo:S0100-67622017000200109
network_acronym_str SIF-1
network_name_str Revista Árvore (Online)
repository_id_str
spelling ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1CalculationDangerFireABSTRACT Despite the existence of different fire danger indices, the use of an inefficient index can lead to making wrong decisions on the appropriate procedures for preventing and fighting forest fires, while a trusted prediction index can help the most quantification and allocation of resources for prevention. Thereat, the objective of this study is to analyze the efficiency of Fire Weather Index (FWI), Logarithmic of Telicyn Index, Nesterov Index, cumulative indexes of precipitation - evaporation (P-EVAP) and evaporation / precipitation (EVAP/P), Monte Alegre Index (FMA) and Monte Alegre Changed Index (FMA+) in the prediction of forest fires for the city of Viçosa (MG). The indices were compared using the method known as Skill Score (SS) taking into account the days that the indexes pointed to the risk of events with focus fire identified by satellite images on the 01/01/2005 to 31/12/2014 period. According to the results, the Logarithm of Telicyn Index (0.53257) as the most efficient for the study area, followed by the indices EVAP/P (0.46553), P-EVAP (0.43724), Nesterov (0.40445), FWI (0.39213), FMA+(0.34595) and FMA (0.28982).Sociedade de Investigações Florestais2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000200109Revista Árvore v.41 n.2 2017reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/1806-90882017000200009info:eu-repo/semantics/openAccessTorres,Fillipe Tamiozzo PereiraLima,Gumercindo SouzaMartins,Sebastião VenâncioValverde,Sebastião Renatoeng2017-10-31T00:00:00Zoai:scielo:S0100-67622017000200109Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2017-10-31T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
title ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
spellingShingle ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
Torres,Fillipe Tamiozzo Pereira
Calculation
Danger
Fire
title_short ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
title_full ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
title_fullStr ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
title_full_unstemmed ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
title_sort ANALYSIS OF EFFICIENCY OF FIRE DANGER INDICES IN FOREST FIRE PREDICTION1
author Torres,Fillipe Tamiozzo Pereira
author_facet Torres,Fillipe Tamiozzo Pereira
Lima,Gumercindo Souza
Martins,Sebastião Venâncio
Valverde,Sebastião Renato
author_role author
author2 Lima,Gumercindo Souza
Martins,Sebastião Venâncio
Valverde,Sebastião Renato
author2_role author
author
author
dc.contributor.author.fl_str_mv Torres,Fillipe Tamiozzo Pereira
Lima,Gumercindo Souza
Martins,Sebastião Venâncio
Valverde,Sebastião Renato
dc.subject.por.fl_str_mv Calculation
Danger
Fire
topic Calculation
Danger
Fire
description ABSTRACT Despite the existence of different fire danger indices, the use of an inefficient index can lead to making wrong decisions on the appropriate procedures for preventing and fighting forest fires, while a trusted prediction index can help the most quantification and allocation of resources for prevention. Thereat, the objective of this study is to analyze the efficiency of Fire Weather Index (FWI), Logarithmic of Telicyn Index, Nesterov Index, cumulative indexes of precipitation - evaporation (P-EVAP) and evaporation / precipitation (EVAP/P), Monte Alegre Index (FMA) and Monte Alegre Changed Index (FMA+) in the prediction of forest fires for the city of Viçosa (MG). The indices were compared using the method known as Skill Score (SS) taking into account the days that the indexes pointed to the risk of events with focus fire identified by satellite images on the 01/01/2005 to 31/12/2014 period. According to the results, the Logarithm of Telicyn Index (0.53257) as the most efficient for the study area, followed by the indices EVAP/P (0.46553), P-EVAP (0.43724), Nesterov (0.40445), FWI (0.39213), FMA+(0.34595) and FMA (0.28982).
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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=S0100-67622017000200109
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000200109
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-90882017000200009
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 Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore v.41 n.2 2017
reponame:Revista Árvore (Online)
instname:Universidade Federal de Viçosa (UFV)
instacron:SIF
instname_str Universidade Federal de Viçosa (UFV)
instacron_str SIF
institution SIF
reponame_str Revista Árvore (Online)
collection Revista Árvore (Online)
repository.name.fl_str_mv Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv ||r.arvore@ufv.br
_version_ 1750318002500272128