Preprints
https://doi.org/10.5194/nhess-2019-350
https://doi.org/10.5194/nhess-2019-350
27 Nov 2019
 | 27 Nov 2019
Status: this preprint has been withdrawn by the authors.

Choice of a wildfire risk system for eucalyptus plantation: a case study for FWI, FMA⁺ and horus systems in Brazil

Fernando Coelho Eugenio, Alexandre Rosa dos Santos, Beatriz Duguy Pedra, José Eduardo Macedo Pezzopane, Lima Deleon Martins, Cássio Carlette Thiengo, and Nathália Suemi Saito

Abstract. With the advent of computation and the progressive advancement of geotechnologies, the use of mathematical models of wildfire risk became more expressive in quantitative terms. The existence of a significant and variable number of models of wildfires risk presents the necessity to select the model that best fits a probable region – which can be done in two ways: visually or through the confrontation of existing models. In this sense, the present study aims at selecting the wildfire risk models FWI, FMA⁺ and RIF-Database for the Eucalyptus plantations. The study area extends from the north-central coast of the state of Espírito Santo and the south coast of Bahia, Brazil. The database was comprised the period between January 1st, 2010 to June 30st, 2016, with 10,447 occurrences. The validation and choice of the results were determined by the success percentages and the skill score value, for each subzone and risk model. After, it was performed the parametric analysis of Variance Analysis (ANOVA), if the F test was significant, the Tukey-Kramer post-hoc test (p < 0.05) was used to compare all the ids with each other. We observed in days with wildfire, a greater sensitivity of the FMA⁺ model, which presented success percentage values higher than 60 % for all subzones. However, it presented the worst results for the days without wildfire and, consequently, the worst results for the overall success rate. Additionally, considering the skill score value, the FWI model presented the best results for subzone 1. The RIF-Database model presented excellent results, being the model to be used for subzones 2 and 3.

This preprint has been withdrawn.

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Fernando Coelho Eugenio, Alexandre Rosa dos Santos, Beatriz Duguy Pedra, José Eduardo Macedo Pezzopane, Lima Deleon Martins, Cássio Carlette Thiengo, and Nathália Suemi Saito

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'Review', Anonymous Referee #1, 20 Dec 2019 Printer-friendly Version
    • AC1: 'RC 1', Fernando Eugenio, 20 Jan 2020 Printer-friendly Version
  • RC2: 'Review 2', Anonymous Referee #2, 06 Jan 2020 Printer-friendly Version
    • AC2: 'RC 2', Fernando Eugenio, 20 Jan 2020 Printer-friendly Version

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
  • RC1: 'Review', Anonymous Referee #1, 20 Dec 2019 Printer-friendly Version
    • AC1: 'RC 1', Fernando Eugenio, 20 Jan 2020 Printer-friendly Version
  • RC2: 'Review 2', Anonymous Referee #2, 06 Jan 2020 Printer-friendly Version
    • AC2: 'RC 2', Fernando Eugenio, 20 Jan 2020 Printer-friendly Version
Fernando Coelho Eugenio, Alexandre Rosa dos Santos, Beatriz Duguy Pedra, José Eduardo Macedo Pezzopane, Lima Deleon Martins, Cássio Carlette Thiengo, and Nathália Suemi Saito

Data sets

CHOICE OF A WILDFIRE RISK SYSTEM FOR EUCALYPTUS PLANTATION: A CASE STUDY FOR FWI, FMA⁺ AND HORUS SYSTEMS IN BRAZIL F. Coelho Eugenio, A. Rosa dos Santos, Be. Duguy Pedra, J. E. Macedo Pezzopane, L. Deleon Martins, C. Carlette Thiengo, and N. Suemi Saito https://doi.org/10.5194/nhess-2019-350

Fernando Coelho Eugenio, Alexandre Rosa dos Santos, Beatriz Duguy Pedra, José Eduardo Macedo Pezzopane, Lima Deleon Martins, Cássio Carlette Thiengo, and Nathália Suemi Saito

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This preprint has been withdrawn.

Short summary
The present study aims at selecting the wildfire risk models FWI, FMA⁺ and RIF Database for the Eucalyptus plantations. The study area extends from the north central coast of the state of Espírito Santo and the south coast of Bahia, Brazil.
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