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

• Published in: Water (Basel) 2023-06, Vol.15 (11), p.2102
• Main Authors: Pautz, Clebson, Santos, Alexandre Rosa dos, Ferrari, Jéferson Luiz, Guerra Filho, Plinio Antonio, Kunz, Sustanis Horn, Dias, Henrique Machado, Moreira, Taís Rizzo, Carvalho, Rita de Cássia Freire, Mardeni, Vinícius Duarte Nader, Santos, Elaine Cordeiro dos, Marin Scaramussa, Larissa
• Format: Article
• Language: English
• Subjects: Agriculture; Analysis; Anthropogenic factors; Biodiversity; Brazil; Cartography; computer software; Decision making; drainage; Ecosystems; Environmental assessment; Environmental changes; Euclidean geometry; Evaluation; Floods; forestry; Forestry laws; Fuzzy algorithms; Fuzzy logic; Fuzzy systems; Geographic information systems; Geotechnology; image interpretation; Lagoons; Lakes; Land use; Local communities; Methods; Natural resources; Photointerpretation; Physical characteristics; Physical properties; Preservation; Remote sensing; surveys; Sustainable production; Vegetation; water; Watersheds
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w15112102

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 distr