Lógica Fuzzy na determinação de fragmentos florestais potenciais para coleta de sementes

Peluzio, Telma Machado de Oliveira; Peluzio, João Batista Esteves; Abreu, Karla Maria Pedra de; Ferrari, Jeferson Luís; Kunz, Sustanis Horn; Fiedler, Nilton César; Gandine, Quênia Glória Ferreira; Paschoa, Luciana de Souza Lorenzoni; Moura, Marks Melo; Moreira, Giselle Lemos; Carvalho, Rita de Cássia Freire; Pimentel, Stefania Marques; Branco, Elvis Ricardo Figueira; Peluzio, Lucas Machado; Santos, Alexandre Rosa dos

doi:10.5902/1980509870016

Cited by 1 publication

(1 citation statement)

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“…This artificial intelligence technique has been used in several studies and environmental documents that help in decision making due to the possibility of precise data aggregation inherent to classic mathematical models and the inaccuracies of the real world. Fuzzy logic is used to standardize the criteria on a scale of 0 to 1, with values close to 0 considered the least favorable and values close to 1 the most favorable [20].…”

Section: Introductionmentioning

confidence: 99%

Mapping the Environmental Vulnerability of a Lagoon Using Fuzzy Logic and the AHP Method

Pautz

Santos

Ferrari

et al. 2023

Water

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Environmental vulnerability refers to the susceptibility of a region to damage when it is subjected to natural or anthropogenic actions. The assessment of environmental vulnerability in lakes is an important tool to assist managers in planning and intervening for sustainable production and environmental preservation. The combination of geotechnologies, fuzzy logic and the analytic hierarchy process (AHP) has been applied by professionals and researchers to improve the work and research conducted in various areas and environments. In this context, the objective of this work was to map the environmental vulnerability of a lake and its surroundings through fuzzy logic and the AHP method. The study area comprises the Juparanã Lagoon Drainage Surface (JLDS), Espírito Santo state, Brazil. A survey of the physical characteristics of the watershed (drainage surface) that feeds the Juparanã Lagoon was carried out and also of the land use of this surface. To achieve the proposed objectives, the following methodological steps were implemented: (a) delimitation of watersheds, (b) spatialization of Permanent Preservation Areas (APP) based on the Brazilian Forestry Code (Law nº 12,651/2012), (c) application of logic fuzzy and AHP to spatialize the environmental vulnerability and (d) application of an evaluation of environmental vulnerability to the Preservation Areas (APP). Environmental vulnerability was modeled using Euclidean distance analysis, fuzzy logic and the AHP method, as proposed by Saaty (1977). For the development of this work, geotechnologies were used, with special emphasis on the use of the free software QGIS. The analysis revealed that 31.20%, 32.86% and 20.93% of the JLDS have very high, high and medium vulnerability, respectively. The evaluation of the environmental vulnerability of the APP showed that there is protection in the APP of the JLDS at rates of 47.35%, 34.05% and 14.5% for very high, high and medium vulnerability classes, respectively. The difficulties encountered were related to the lack of studies in the area of environmental vulnerability with a particular focus on lagoons. Here, for the first time, we perform a photointerpretation of the surroundings of Juparanã Lagoon. An important improvement measure would be the application of a temporal analysis to assess the dynamics of environmental vulnerability over time, considering socioeconomic, climatic and environmental changes. This would provide a more complete understanding of the distribution of environmental vulnerability in the study area. The methodology can be adapted to consider different scales of analysis, from local to regional, national and global scales, to assess environmental vulnerability at various scopes and levels of complexity. It can also be adapted to include local communities and governments.

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Section: Introductionmentioning

confidence: 99%