Fuzzy inference system for environmental vulnerability assessment of protected areas: a case study of the Itupararanga environmental protection area in southeastern Brazil

de Godoy Fernandes, Pedro Henrique; da Silva, Tatiana Acácio; Duarte, Miqueias Lima; de Sousa, Jackson; Dupas, Francisco Antônio

doi:10.1080/15715124.2023.2260361

International Journal of River Basin Management

2023

DOI: 10.1080/15715124.2023.2260361

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Fuzzy inference system for environmental vulnerability assessment of protected areas: a case study of the Itupararanga environmental protection area in southeastern Brazil

Pedro Henrique de Godoy Fernandes,

Tatiana Acácio da Silva,

Miqueias Lima Duarte

et al.

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2024

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Cited by 2 publications

References 99 publications

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Application of a hybrid fuzzy inference system to map the susceptibility to fires

Duarte,

da Silva,

de Sousa

et al. 2024

Nat Hazards

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Application of a hybrid fuzzy inference system to map the susceptibility to fires

Duarte,

da Silva,

de Sousa

et al. 2024

Nat Hazards

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Fuzzy Inference System For Mapping Forest Fire Susceptibility In Northern Rondônia, Brazil

Duarte,

Acácio da Silva,

Paixão de Sousa

et al. 2024

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Forest fires are global phenomena that pose an accelerating threat to ecosystems, affect the population life quality and contribute to climate change. The mapping of fire susceptibility provides proper direction for mitigating measures for these events. However, predicting their occurrence and scope is complicated since many of their causes are related to human practices and climatological variations. To predict fire occurrences, this study applies a fuzzy inference system methodology implemented in R software and using triangular and trapezoidal functions that comprise four input parameters (temperature, rainfall, distance from highways, and land use and occupation) obtained from remote sensing data and processed through GIS environment. The fuzzy system classified 63.27% of the study area as having high and very high fire susceptibility. The high density of fire occurrences in these classes shows the high precision of the proposed model, which was confirmed by the area under the curve (AUC) value of 0.879. The application of the fuzzy system using two extreme climate events (rainy summer and dry summer) showed that the model is highly responsive to temperature and rainfall variations, which was verified by the sensitivity analysis. The results obtained with the system can assist in decision-making for appropriate firefighting actions in the region.

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Fuzzy inference system for environmental vulnerability assessment of protected areas: a case study of the Itupararanga environmental protection area in southeastern Brazil

Cited by 2 publications

References 99 publications

Application of a hybrid fuzzy inference system to map the susceptibility to fires

Application of a hybrid fuzzy inference system to map the susceptibility to fires

Fuzzy Inference System For Mapping Forest Fire Susceptibility In Northern Rondônia, Brazil

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