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Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna

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Abstract

This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani fuzzy inference system was designed using linguistic variables, pertinence functions, and a set of rules associated to a traditional laminar erosion prediction model through the environmental conditioners slope, erodibility, and degree of soil protection. The laminar erosion prediction model associated with fuzzy logic is a qualitative evaluation of erosive potential capable of being spatialized with a greater level of detail, increasing the traditional classification by two levels. The processing of environmental and soil conditioning factors using the fuzzy logic resulted in values between 2.5 and 9.1, which places the basin at a low to very high laminar erosion potential. The results indicate areas that demand a greater attention regarding soil management; 56.89% of the area has a medium to high laminar erosion and high to very high erosion (6.99%).

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Acknowledgments

To the Fundação de Apoio ao Instituto de Pesquisas Tecnológicas (FIPT) for the scholarship during the study. To the Instituto de Pesquisas Tecnológicas of São Paulo (IPT) for the participation of the second and third authors in the New Talents Program.

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Authors and Affiliations

  1. State Goiás University, 153 BR Road, Area Block. 199 Km. Anapólis, Goiás, Brazil

    José Carlos de Souza

  2. Sorocaba São Paulo State University (UNESP), Institute of Science and Technology, Sorocaba, Brazil

    Jomil Costa Abreu Sales, José Arnaldo Frutuoso Roveda, Sandra Regina Monteiro Masalskiene Roveda & Roberto Wagner Lourenço

  3. Geoprocessing and Environmental Mathematical Modeling Laboratory, 711, Three March Avenue, Sorocaba, São Paulo, 18087-180, Brazil

    Jomil Costa Abreu Sales, José Arnaldo Frutuoso Roveda, Sandra Regina Monteiro Masalskiene Roveda & Roberto Wagner Lourenço

  4. Technological Research Institute of São Paulo (IPT), 532, Prof. Almeida Prado, University City, São Paulo, São Paulo, 05508-901, Brazil

    Jomil Costa Abreu Sales

  5. Federal University of the South of Bahia, Universitary Campus Sosigenes Costa, Highway 367, km 30, Porto Seguro, Bahia, 45810-000, Brazil

    Elfany Reis do Nascimento Lopes

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de Souza, J.C., Sales, J.C.A., do Nascimento Lopes, E.R. et al. Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna. Environ Monit Assess 191, 624 (2019). https://doi.org/10.1007/s10661-019-7789-1

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