Gis and fuzzy logic applied to modelling forest fire risk
Ronie S Juvanhol1, Nilton Cesar Fiedler2, Alexandre R Dos Santos2
1Federal University of Piaui/UFPI, Campus Professora Cinobelina Elvas, Av. Manoel Gracindo, s/n, Km 01, Planalto Horizonte, 64900-000 Bom Jesus, PI, Brazil.
Anais Da Academia Brasileira De Ciencias
|August 25, 2021
Summary
This study used fuzzy logic in a geographic information system (GIS) to map forest fire risk in Brazil. Results show higher fire risk near wildland-urban interfaces and roads.
Area of Science:
- Environmental Science
- Forestry
- Geographic Information Science
Background:
- Forest fire risk mapping is crucial for effective planning and protection strategies.
- Identifying high-risk areas aids in proactive wildfire management and mitigation efforts.
Purpose of the Study:
- To apply fuzzy logic within a GIS framework for multi-criteria analysis of forest fire risk.
- To develop an alternative method for determining high-risk forest fire zones in Brazil's natural forest remnants.
Main Methods:
- Utilized fuzzy logic and a geographic information system (GIS) for multi-criteria analysis.
- Defined pertinence functions for key variables influencing fire risk.
- Integrated identified factors to generate a comprehensive fire risk map.
Main Results:
- Identified increased fire risk at the wildland-urban interface.
- Established a strong correlation between fire ignition points and proximity to roads and urban areas.
- Demonstrated the model's efficiency in integrating variables for risk assessment.
Conclusions:
- Fuzzy logic in GIS provides an effective approach for forest fire risk assessment.
- The wildland-urban interface is a critical zone requiring focused fire prevention measures.
- Proximity to infrastructure like roads significantly influences wildfire ignition patterns.
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