Citation

Eugenio FC, Rosa Dos Santos A, Fiedler NC, Ribeiro GA, da Silva AG, Juvanhol RS, Schettino VR, Marcatti GE, Domingues GF, Alves Dos Santos GMAD, Pezzopane JE, Pedra BD, Banhos A, Martins LD. Sci. Total Environ. 2016; 562: 542-549.

Affiliation

Federal University of Espírito Santo/UFES, PostGraduate Programme in Plant Production, Alto Universitário, s/n, 29500-000 Alegre, ES, Brazil. Electronic address: deleon_lima@hotmail.com.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.scitotenv.2016.03.231

PMID

27110968

Abstract

In most countries, the loss of biodiversity caused by the fires is worrying. In this sense, the fires detection towers are crucial for rapid identification of fire outbreaks and can also be used in environmental inspection, biodiversity monitoring, telecommunications mechanisms, telemetry and others. Currently the methodologies for allocating fire detection towers over large areas are numerous, complex and non-standardized by government supervisory agencies. Therefore, this study proposes and evaluates different methodologies to best location of points to install fire detection towers considering the topography, risk areas, conservation units and heat spots. Were used Geographic Information Systems (GIS) techniques and unaligned stratified systematic sampling for implementing and evaluating 9 methods for allocating fire detection towers. Among the methods evaluated, the C3 method was chosen, represented by 140 fire detection towers, with coverage of: a) 67% of the study area, b) 73.97% of the areas with high risk, c) 70.41% of the areas with very high risk, d) 70.42% of the conservation units and e) 84.95% of the heat spots in 2014. The proposed methodology can be adapted to areas of other countries.

Copyright © 2016 Elsevier B.V. All rights reserved.

Language: en