Artigo

Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil

This study compares the performance of three fire risk indices for accuracy in predicting fires in semi-deciduous forest fragments, creates a fire risk map by integrating historical fire occurrences in a probabilistic density surface using the Kernel density estimator (KDE) in the municipality of So...

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Autor principal: Ziccardi, Leonardo Guimarães
Outros Autores: Thiersch, Cláudio Roberto, Yanai, Aurora Miho, Fearnside, Philip Martin, Ferreira-Filho, Pedro José
Grau: Artigo
Idioma: English
Publicado em: Journal of Forestry Research 2020
Assuntos:
Deciduous Forest
Forest Fires
Forest Management
Brasil
Sao Paulo [brazil]
Sorocaba
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/16491
id oai:repositorio:1-16491
recordtype dspace
spelling oai:repositorio:1-16491 Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil Ziccardi, Leonardo Guimarães Thiersch, Cláudio Roberto Yanai, Aurora Miho Fearnside, Philip Martin Ferreira-Filho, Pedro José Deciduous Forest Forest Fires Forest Management Brasil Sao Paulo [brazil] Sorocaba This study compares the performance of three fire risk indices for accuracy in predicting fires in semi-deciduous forest fragments, creates a fire risk map by integrating historical fire occurrences in a probabilistic density surface using the Kernel density estimator (KDE) in the municipality of Sorocaba, São Paulo state, Brazil. The logarithmic Telicyn index, Monte Alegre formula (MAF) and enhanced Monte Alegre formula (MAF+) were employed using data for the period 1 January 2005 to 31 December 2016. Meteorological data and numbers of fire occurrences were obtained from the National Institute of Meteorology (INMET) and the Institute for Space Research (INPE), respectively. Two performance measures were calculated: Heidke skill score (SS) and success rate (SR). The MAF+ index was the most accurate, with values of SS and SR of 0.611% and 62.8%, respectively. The fire risk map revealed two most susceptible areas with high (63 km2) and very high (47 km2) risk of fires in the municipality. Identification of the best risk index and the generation of fire risk maps can contribute to better planning and cost reduction in preventing and fighting forest fires. © 2019, Northeast Forestry University. 2020-06-15T21:35:03Z 2020-06-15T21:35:03Z 2020 Artigo https://repositorio.inpa.gov.br/handle/1/16491 10.1007/s11676-019-00889-x en Volume 31, Número 2, Pags. 581-590 Restrito Journal of Forestry Research
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Deciduous Forest
Forest Fires
Forest Management
Brasil
Sao Paulo [brazil]
Sorocaba
spellingShingle Deciduous Forest
Forest Fires
Forest Management
Brasil
Sao Paulo [brazil]
Sorocaba
Ziccardi, Leonardo Guimarães
Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
topic_facet Deciduous Forest
Forest Fires
Forest Management
Brasil
Sao Paulo [brazil]
Sorocaba
description This study compares the performance of three fire risk indices for accuracy in predicting fires in semi-deciduous forest fragments, creates a fire risk map by integrating historical fire occurrences in a probabilistic density surface using the Kernel density estimator (KDE) in the municipality of Sorocaba, São Paulo state, Brazil. The logarithmic Telicyn index, Monte Alegre formula (MAF) and enhanced Monte Alegre formula (MAF+) were employed using data for the period 1 January 2005 to 31 December 2016. Meteorological data and numbers of fire occurrences were obtained from the National Institute of Meteorology (INMET) and the Institute for Space Research (INPE), respectively. Two performance measures were calculated: Heidke skill score (SS) and success rate (SR). The MAF+ index was the most accurate, with values of SS and SR of 0.611% and 62.8%, respectively. The fire risk map revealed two most susceptible areas with high (63 km2) and very high (47 km2) risk of fires in the municipality. Identification of the best risk index and the generation of fire risk maps can contribute to better planning and cost reduction in preventing and fighting forest fires. © 2019, Northeast Forestry University.
format Artigo
author Ziccardi, Leonardo Guimarães
author2 Thiersch, Cláudio Roberto
Yanai, Aurora Miho
Fearnside, Philip Martin
Ferreira-Filho, Pedro José
author2Str Thiersch, Cláudio Roberto
Yanai, Aurora Miho
Fearnside, Philip Martin
Ferreira-Filho, Pedro José
title Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
title_short Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
title_full Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
title_fullStr Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
title_full_unstemmed Forest fire risk indices and zoning of hazardous areas in Sorocaba, São Paulo state, Brazil
title_sort forest fire risk indices and zoning of hazardous areas in sorocaba, são paulo state, brazil
publisher Journal of Forestry Research
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/16491
_version_ 1787141314651881472
score 11.687526

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