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Gis and fuzzy logic applied to modelling forest fire risk

2021; Brazilian Academy of Sciences; Volume: 93; Issue: suppl 3 Linguagem: Inglês

10.1590/0001-3765202120190726

1678-2690

Ronie Silva Juvanhol, Nilton César Fiedler, Alexandre Rosa dos Santos, Gilson Fernandes da Silva, Moisés S. Omêna, Fernando Coelho Eugênio, Christiano Jorge Gomes Pinheiro, Antônio Carlos Ferraz Filho,

Forest ecology and management

Fire risk mapping is a basic planning and protection element. This study presents the application of fuzzy logic in a geographic information system (GIS) as an alternative multi-criteria analysis for determining the areas of highest risk of forest fire in natural forest remnants in the Brazil. In the decision-making process, a set of factors that are relevant to fire safety were identified in the study area. For each input variable chosen for the model, a pertinence function was defined that best described its influence on fire risk. Subsequently, the variables were combined for the presentation of the final fire risk map. Concluded in the study that an increased risk of fire occurs at the wildland - urban interface. A strong relationship was observed between the fire ignition points and proximity to roads and urban areas. The proposed model was efficient to integrate the variables and determine areas of greatest risk.