PERFORMANCE OF NESTEROV INDEXES AND OF MONTE ALEGRE FORMULA IN LICHINGA DISTRICT, NORTHERN OF MOZAMBIQUE
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
_version_ |
1799944132422008832 |