Fuzzy Logic Applied to Sustainable Land Use Planning in a Watershed Based on Local Suitability Indicators

https://doi.org/10.25100/eg.v0i30.14851

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Published: Jul 1, 2025
Issue: No. 30 (2025): Julio - Diciembre 2025 (30)
Section Artículos (Espacios y Territorios)

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Authors

  Frederico Belfort Poletti Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.
  Arthur Pereira dos Santos Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.
  Ana Laura de Paula Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.
  Darllan Collins da Cunha e Silva Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.
  Roberto Wagner Lourenço Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.
Abstract

The conversion of natural areas to other land uses has contributed to environmental degradation, especially when ignoring terrain, soil, vegetation, and local socioeconomic suitability. This study proposes a methodology for mapping land use suitability based on Fuzzy logic, integrating morphometric parameters and land use classes in the Sorocabuçu River Watershed (BHRS). Metrics were derived from Digital Elevation Models (DEM), with sub-watersheds hierarchized according to the Strahler method, while land use was mapped and field-validated. Fuzzy analysis classified suitability into three levels, compared to current land use. Among the 115 sub-watersheds analyzed, 63 showed compatibility with natural suitability, while 52 revealed use conflicts. Thus, the methodology proved effective in identifying inconsistencies and supporting sustainable territorial planning, environmental management, and the formulation of public policies based on local indicators.

Keywords
  • Land use suitability
  • Sustainable territorial planning
  • Environmental management
  • Local indicators
Author Biographies

Frederico Belfort Poletti, Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.

Environmental Engineer from São Paulo State University "Júlio de Mesquita Filho" (UNESP/Sorocaba – 2010), with an MBA in Environmental Management and Technologies from the University of São Paulo (USP/2013), and currently pursuing a Master’s degree in Environmental Sciences at São Paulo State University "Júlio de Mesquita Filho" (UNESP/Sorocaba). Since 2013, he has been working at the Environmental Company of the State of São Paulo (CETESB), under a CLT/Public Examination regime. He served as an Accredited Agent (2013–2017) and as a Technical Supervisor (2017–2024) at the Environmental Agency of Mogi das Cruzes, and is currently assigned to the Environmental Agency of Avaré/SP, performing duties as an accredited agent, conducting inspection and environmental licensing of pollution sources and environmentally degrading activities affecting natural resources.

Arthur Pereira dos Santos, Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.

Ph.D. candidate in the research line of Geoprocessing and Environmental Mathematical Modeling in the Graduate Program in Environmental Sciences at São Paulo State University "Júlio de Mesquita Filho" (UNESP). Holds a Master's degree in the research line of Environmental Management and Monitoring from the Graduate Program in Environment and Environmental Quality at the Federal University of Uberlândia (UFU) (2020), and a degree in Environmental and Sanitary Engineering from the University of Western São Paulo (2018), with a specialization in Production Engineering from the Federal University of Juiz de Fora (UFJF) (2024). Has experience in various aspects of Remote Sensing and Geoprocessing applied to both public and private sectors, with emphasis on urban climate monitoring, spatial analysis of land use, and the application of spectral indices in multitemporal studies, providing technical foundations for territorial planning and management. Works in mathematical modeling and future scenario projections, contributing to urban planning, climate adaptation, the transition to clean energy, and sustainable infrastructure. Also experienced in managing databases within GIS environments, developing geotechnological solutions to strategically support decision-making in both the public sector (urban efficiency, decarbonization, and energy transition) and the private sector (sustainability in the sugar-energy industry). Currently deepening knowledge in the field of Artificial Intelligence (AI), with a focus on Machine Learning techniques applied to support territorial management.

Ana Laura de Paula, Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.

Assistant Professor (Ph.D.) at São Paulo State University (UNESP), Institute of Science and Technology, Sorocaba, Brazil

Darllan Collins da Cunha e Silva, Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.

Possui Graduação e Mestrado em Engenharia Ambiental pela Universidade Federal de Ouro Preto (UFOP) e Doutorado em Ciências Ambientais pela UNESP - Campus de Sorocaba. Tem experiência na área de Engenharia Ambiental, com ênfase em Controle da Poluição do Ar, Mapeamento Cartográfico, Gestão de Bacias Hidrográficas e Indicadores Ambientais. Atuando principalmente nos seguintes temas: Indicadores Ambientais, Gestão de Recursos Hídricos, Geoprocessamento e Sensoriamento Remoto. Tem experiência na coordenação e participação em projetos de pesquisa e extensão aprovados em empresas e IES públicas e privadas. Participou da Oficina de Elaboração e Revisão de Itens do Enade 2017 para Engenharia Ambiental. Atualmente é Professor Assistente Doutor da Universidade Estadual Paulista (Unesp), campus de Sorocaba, onde ministra aulas na graduação em Engenharia Ambiental.

Roberto Wagner Lourenço, Universidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocaba, Brasil.

Graduated in Geography from UNESP (1995), with a Master's and Ph.D. in Geosciences and Environment obtained in 1998 and 2002, respectively, both from São Paulo State University "Júlio de Mesquita Filho" (UNESP). Completed a postdoctoral fellowship in 2003 at the Department of Public Health of the Botucatu School of Medicine (UNESP). In 2012, earned the title of Livre-Docente (Habilitation) in Geoprocessing from UNESP, Sorocaba campus. Currently serves as an Associate Professor at São Paulo State University "Júlio de Mesquita Filho" (UNESP), Sorocaba campus. He is responsible for the courses in Geoprocessing, Remote Sensing, and Geographic Information Systems and Environmental Applications in the Environmental Engineering program, focusing mainly on Geoprocessing, Remote Sensing, Territorial Planning and Management, and Environmental Health. He is accredited in the Graduate Program in Environmental Sciences at the Institute of Science and Technology of Sorocaba (ICT-UNESP) and in the Graduate Program of the Faculty of Medical Sciences at UNICAMP, in the concentration area of Collective and Preventive Social Health.

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How to Cite
Belfort Poletti, F., Pereira dos Santos, A., de Paula, A. L., Collins da Cunha e Silva, D., & Lourenço, R. W. (2025). Fuzzy Logic Applied to Sustainable Land Use Planning in a Watershed Based on Local Suitability Indicators. Entorno Geográfico, (30), e20214851. https://doi.org/10.25100/eg.v0i30.14851
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