Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil

Detalhes bibliográficos
Autor(a) principal: White, Larissa Alves Secundo
Data de Publicação: 2021
Outros Autores: White, Benjamin Leonardo Alves, Ribeiro, Genésio Tâmara
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/850
Resumo: Spatial modeling of forest fire risk has the aim to determine areas most susceptible to fire based on variables that represent facility of ignition and propagation. This work developed a forest fire risk map for the Municipality of Inhambupe, Bahia State, Brazil, by elaborating thematic maps of the following variables: road system, population density, land occupation and use, watershed network, slope and aspect. These were evaluated by the analytic hierarchy process and integrated with map algebra. Based on the developed model, 75.46% of the studied area was classified as “high”, “very high” and “extreme high” fire risk. When comparing the forest fire risk map with historical data of burned areas, 95% of the fires were in these areas.
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spelling Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, BrazilModelagem espacial de risco de incêndio florestal para o município de Inhambupe, Bahia, BrasilProteção florestalsusceptibilidade ao fogomapa de risco.Forest protectionFire susceptibilityRisk mapSpatial modeling of forest fire risk has the aim to determine areas most susceptible to fire based on variables that represent facility of ignition and propagation. This work developed a forest fire risk map for the Municipality of Inhambupe, Bahia State, Brazil, by elaborating thematic maps of the following variables: road system, population density, land occupation and use, watershed network, slope and aspect. These were evaluated by the analytic hierarchy process and integrated with map algebra. Based on the developed model, 75.46% of the studied area was classified as “high”, “very high” and “extreme high” fire risk. When comparing the forest fire risk map with historical data of burned areas, 95% of the fires were in these areas.A modelagem do risco espacial de incêndios florestais tem o objetivo de determinar as regiões mais susceptíveis ao fogo, baseando-se em variáveis que representam a facilidade de ignição e de propagação do fogo. Nesse contexto, utilizando-se das variáveis: sistema viário, densidade demográfica, uso e ocupação do solo, malha hidrográfica, inclinação e orientação das encostas, foram elaborados mapas de riscos preliminares, que, posteriormente à ponderações das mesmas pelo método AHP, foram integradas por meio da calculadora Raster em um mapa final de risco de incêndio florestal para o município de Inhambupe, Bahia, Brasil. Com base no modelo utilizado, 75,46% da área de estudo apresenta-se classificada como de maior risco, representado pelas classes “alto”, “muito alto” e “extremo”. Ao comparar o mapa final do risco de incêndio florestal para a área de estudo com o histórico de áreas queimadas, verificou-se que 94,83% dos registros de incêndios florestais estão alocados nas áreas de maior risco.Embrapa Florestas2021-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/85010.4336/2016.pfb.36.85.850Pesquisa Florestal Brasileira; v. 36 n. 85 (2016): jan./mar.; 41-49Pesquisa Florestal Brasileira; Vol. 36 No. 85 (2016): jan./mar.; 41-491983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/850/467Copyright (c) 2016 Larissa Alves Secundo White, Benjamin Leonardo Alves White, Genésio Tâmara Ribeirohttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessWhite, Larissa Alves SecundoWhite, Benjamin Leonardo AlvesRibeiro, Genésio Tâmara2021-11-17T13:34:26Zoai:pfb.cnpf.embrapa.br/pfb:article/850Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2021-11-17T13:34:26Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
Modelagem espacial de risco de incêndio florestal para o município de Inhambupe, Bahia, Brasil
title Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
spellingShingle Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
White, Larissa Alves Secundo
Proteção florestal
susceptibilidade ao fogo
mapa de risco.
Forest protection
Fire susceptibility
Risk map
title_short Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
title_full Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
title_fullStr Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
title_full_unstemmed Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
title_sort Spatial modeling of forest fire risk for the Municipality of Inhambupe, Bahia State, Brazil
author White, Larissa Alves Secundo
author_facet White, Larissa Alves Secundo
White, Benjamin Leonardo Alves
Ribeiro, Genésio Tâmara
author_role author
author2 White, Benjamin Leonardo Alves
Ribeiro, Genésio Tâmara
author2_role author
author
dc.contributor.author.fl_str_mv White, Larissa Alves Secundo
White, Benjamin Leonardo Alves
Ribeiro, Genésio Tâmara
dc.subject.por.fl_str_mv Proteção florestal
susceptibilidade ao fogo
mapa de risco.
Forest protection
Fire susceptibility
Risk map
topic Proteção florestal
susceptibilidade ao fogo
mapa de risco.
Forest protection
Fire susceptibility
Risk map
description Spatial modeling of forest fire risk has the aim to determine areas most susceptible to fire based on variables that represent facility of ignition and propagation. This work developed a forest fire risk map for the Municipality of Inhambupe, Bahia State, Brazil, by elaborating thematic maps of the following variables: road system, population density, land occupation and use, watershed network, slope and aspect. These were evaluated by the analytic hierarchy process and integrated with map algebra. Based on the developed model, 75.46% of the studied area was classified as “high”, “very high” and “extreme high” fire risk. When comparing the forest fire risk map with historical data of burned areas, 95% of the fires were in these areas.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-17
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/850
10.4336/2016.pfb.36.85.850
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/850
identifier_str_mv 10.4336/2016.pfb.36.85.850
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/850/467
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 36 n. 85 (2016): jan./mar.; 41-49
Pesquisa Florestal Brasileira; Vol. 36 No. 85 (2016): jan./mar.; 41-49
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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