PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE

Detalhes bibliográficos
Autor(a) principal: Mbanze, Aires Afonso
Data de Publicação: 2017
Outros Autores: Batista, Antonio Carlos, Tetto, Alexandre França, Romero, Axel Misraim, Mudekwe, John
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/27753
Resumo: This study was conducted in order to evaluate the performance of Nesterov indexes and of Monte Alegre formula (FMA) in Lichinga environment (northern Mozambique) in order to suggest the best index to be used in this region. To do so, we used daily meteorological data (temperature, precipitation and relative humidity) and registration data of forest fire occurrences in a period of three years (2010 - 2012). Meteorological data were provided by the Agricultural Research Institute of Mozambique in Lichinga (IIAM-Lichinga), whereas the data base of fire occurrence record was provided by the Center for Monitoring and Control of Forest Fires (CCMIF) of the company Chikweti Forest of Niassa. Then, fire danger indexes and the degree of daily danger were calculated for both indexes, where it was observed the predominance of very high degree of danger in almost every year, with a percentage of 52.65% for the FMA and 37.96% for Nesterov index. Along with values of Skill Score (SS) of 0.11 Percent Success (PS) of 44.82%, Nesterov index showed best performance for this region unlike FMA, that presented a weak performance with values of 0, 07 of SS and 35.62%of PS.
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spelling PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUEDESEMPENHO DOS ÍNDICES DE NESTEROV E FÓRMULA DE MONTE ALEGRE NO DISTRITO DE LICHINGA, NORTE DE MOÇAMBIQUEforest firesfire danger indexesdegree of danger.incêndios florestaisíndices de perigo de incêndiosgrau de perigo.This study was conducted in order to evaluate the performance of Nesterov indexes and of Monte Alegre formula (FMA) in Lichinga environment (northern Mozambique) in order to suggest the best index to be used in this region. To do so, we used daily meteorological data (temperature, precipitation and relative humidity) and registration data of forest fire occurrences in a period of three years (2010 - 2012). Meteorological data were provided by the Agricultural Research Institute of Mozambique in Lichinga (IIAM-Lichinga), whereas the data base of fire occurrence record was provided by the Center for Monitoring and Control of Forest Fires (CCMIF) of the company Chikweti Forest of Niassa. Then, fire danger indexes and the degree of daily danger were calculated for both indexes, where it was observed the predominance of very high degree of danger in almost every year, with a percentage of 52.65% for the FMA and 37.96% for Nesterov index. Along with values of Skill Score (SS) of 0.11 Percent Success (PS) of 44.82%, Nesterov index showed best performance for this region unlike FMA, that presented a weak performance with values of 0, 07 of SS and 35.62%of PS.Este trabalho foi desenvolvido com objetivo de avaliar o desempenho dos índices de Nesterov e Fórmula de Monte Alegre (FMA) no ambiente Lichinga (norte de Moçambique), de modo a sugerir o melhor índice a ser usado nesta região. Para a materialização desta pesquisa, foram usados dados meteorológicos diários (temperatura, precipitação e umidade relativa) e dados de registro de ocorrências dos incêndios florestais de um período de três anos (2010 a 2012). Os dados meteorológicos foram fornecidos pelo Instituto de Investigação Agronômica de Moçambique em Lichinga (IIAM-Lichinga) e o banco de dados de registro de ocorrências de incêndios foi providenciado pelo Centro de Controle e Monitoramento de Incêndios Florestais (CCMIF), da empresa Chikweti Forest of Niassa. Na sequência, foram calculados os índices de perigo de incêndios e o grau de perigo diário para os dois índices, tendo-se observado a predominância do grau de perigo muito alto em quase todos os anos, com um porcentual de 52,65% para o FMA e 37,96% para o índice Nesterov. Com valores de Skill Score (SS) de 0,11 e Porcentagem de Sucesso (PS) de 44,82%, o índice Nesterov mostrou melhor desempenho para o ambiente de Lichinga, ao contrário do FMA que apresentou um fraco desempenho com os valores de 0,07 de SS e 35,62% de PS.Universidade Federal de Santa Maria2017-06-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/2775310.5902/1980509827753Ciência Florestal; Vol. 27 No. 2 (2017); 687-696Ciência Florestal; v. 27 n. 2 (2017); 687-6961980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/27753/pdfCopyright (c) 2017 Ciência Florestalinfo:eu-repo/semantics/openAccessMbanze, Aires AfonsoBatista, Antonio CarlosTetto, Alexandre FrançaRomero, Axel MisraimMudekwe, John2017-07-08T02:12:02Zoai:ojs.pkp.sfu.ca:article/27753Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-07-08T02:12:02Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
DESEMPENHO DOS ÍNDICES DE NESTEROV E FÓRMULA DE MONTE ALEGRE NO DISTRITO DE LICHINGA, NORTE DE MOÇAMBIQUE
title PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
spellingShingle PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
Mbanze, Aires Afonso
forest fires
fire danger indexes
degree of danger.
incêndios florestais
índices de perigo de incêndios
grau de perigo.
title_short PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
title_full PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
title_fullStr PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
title_full_unstemmed PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
title_sort PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
author Mbanze, Aires Afonso
author_facet Mbanze, Aires Afonso
Batista, Antonio Carlos
Tetto, Alexandre França
Romero, Axel Misraim
Mudekwe, John
author_role author
author2 Batista, Antonio Carlos
Tetto, Alexandre França
Romero, Axel Misraim
Mudekwe, John
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mbanze, Aires Afonso
Batista, Antonio Carlos
Tetto, Alexandre França
Romero, Axel Misraim
Mudekwe, John
dc.subject.por.fl_str_mv forest fires
fire danger indexes
degree of danger.
incêndios florestais
índices de perigo de incêndios
grau de perigo.
topic forest fires
fire danger indexes
degree of danger.
incêndios florestais
índices de perigo de incêndios
grau de perigo.
description This study was conducted in order to evaluate the performance of Nesterov indexes and of Monte Alegre formula (FMA) in Lichinga environment (northern Mozambique) in order to suggest the best index to be used in this region. To do so, we used daily meteorological data (temperature, precipitation and relative humidity) and registration data of forest fire occurrences in a period of three years (2010 - 2012). Meteorological data were provided by the Agricultural Research Institute of Mozambique in Lichinga (IIAM-Lichinga), whereas the data base of fire occurrence record was provided by the Center for Monitoring and Control of Forest Fires (CCMIF) of the company Chikweti Forest of Niassa. Then, fire danger indexes and the degree of daily danger were calculated for both indexes, where it was observed the predominance of very high degree of danger in almost every year, with a percentage of 52.65% for the FMA and 37.96% for Nesterov index. Along with values of Skill Score (SS) of 0.11 Percent Success (PS) of 44.82%, Nesterov index showed best performance for this region unlike FMA, that presented a weak performance with values of 0, 07 of SS and 35.62%of PS.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-29
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/27753
10.5902/1980509827753
url https://periodicos.ufsm.br/cienciaflorestal/article/view/27753
identifier_str_mv 10.5902/1980509827753
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/27753/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2017 Ciência Florestal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Ciência Florestal
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. 27 No. 2 (2017); 687-696
Ciência Florestal; v. 27 n. 2 (2017); 687-696
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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