EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE

The objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables an...

Full description

Bibliographic Details
Main Authors: Balbina Maria Araújo Soriano, Omar Daniel, Sandra Aparecida Santos
Format: Article
Language:Portuguese
Published: Universidade Federal de Santa Maria 2015-01-01
Series:Ciência Florestal
Online Access:http://www.redalyc.org/articulo.oa?id=53443479001
id doaj-c3eb30ee8ad542529367e9580efe99b4
record_format Article
spelling doaj-c3eb30ee8ad542529367e9580efe99b42020-11-25T00:03:27ZporUniversidade Federal de Santa MariaCiência Florestal0103-99541980-50982015-01-01254809816EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSEBalbina Maria Araújo SorianoOmar DanielSandra Aparecida SantosThe objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables and the occurrence of hotspots as well as the comparison between the fire risk indices of Angstron (B), Logarithmic index of Telicyn (I), Nesterov Index (G), Monte Alegre Index (FMA) and Modified Monte Alegre Index (FMA+). Meteorological data were collected at 14 hours in the Nhumirim climatological station and hotspots during night of the NOAA12 and NOAA15 from 1999 to 2008. The wind speed and relative humidity were the meteorological variables which best correlated with the occurrence of fire. To detect any degree of fire risk, the FMA, the G and FMA+ were the most efficient indices. For the detection of degrees of fire risk classes very high and high, the G was the most efficient, followed by the FMA. Considering the high probability of success in detecting fire risks in any degree and also in the class of the most high risk, the FMA can be deemed more appropriate for estimating the fire risk for Nhecolândia sub-region.http://www.redalyc.org/articulo.oa?id=53443479001
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Balbina Maria Araújo Soriano
Omar Daniel
Sandra Aparecida Santos
spellingShingle Balbina Maria Araújo Soriano
Omar Daniel
Sandra Aparecida Santos
EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
Ciência Florestal
author_facet Balbina Maria Araújo Soriano
Omar Daniel
Sandra Aparecida Santos
author_sort Balbina Maria Araújo Soriano
title EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title_short EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title_full EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title_fullStr EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title_full_unstemmed EFICIÊNCIA DE ÍNDICES DE RISCO DE INCÊNDIOS PARA O PANTANAL SUL-MATO-GROSSENSE
title_sort eficiência de índices de risco de incêndios para o pantanal sul-mato-grossense
publisher Universidade Federal de Santa Maria
series Ciência Florestal
issn 0103-9954
1980-5098
publishDate 2015-01-01
description The objective of this work was to compare the indices of fire risk from hotspots and define the most efficient for the conditions of South Pantanal of Mato Grosso, based on meteorological data and number of hotspots. The work consisted of correlation analysis between some meteorological variables and the occurrence of hotspots as well as the comparison between the fire risk indices of Angstron (B), Logarithmic index of Telicyn (I), Nesterov Index (G), Monte Alegre Index (FMA) and Modified Monte Alegre Index (FMA+). Meteorological data were collected at 14 hours in the Nhumirim climatological station and hotspots during night of the NOAA12 and NOAA15 from 1999 to 2008. The wind speed and relative humidity were the meteorological variables which best correlated with the occurrence of fire. To detect any degree of fire risk, the FMA, the G and FMA+ were the most efficient indices. For the detection of degrees of fire risk classes very high and high, the G was the most efficient, followed by the FMA. Considering the high probability of success in detecting fire risks in any degree and also in the class of the most high risk, the FMA can be deemed more appropriate for estimating the fire risk for Nhecolândia sub-region.
url http://www.redalyc.org/articulo.oa?id=53443479001
work_keys_str_mv AT balbinamariaaraujosoriano eficienciadeindicesderiscodeincendiosparaopantanalsulmatogrossense
AT omardaniel eficienciadeindicesderiscodeincendiosparaopantanalsulmatogrossense
AT sandraaparecidasantos eficienciadeindicesderiscodeincendiosparaopantanalsulmatogrossense
_version_ 1725433813506457600