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Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes

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Environmental Geology

Abstract

In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data in the form of linguistic rules and charts about the behaviour of the Tinto and Odiel river estuary (SW Spain) affected by Acid Mine Drainage (AMD). In order to provide researchers with no skills on data mining techniques an easy and intuitive interpretation, we have developed a computer tool based on fuzzy logic that allows immediate qualitative analysis of the data contained in a data from the estuary water chemical analyses, and serves as a contrast to functioning models previously proposed with classical statistics.

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Acknowledgments

The present study is a contribution of the CICYT-REN2002-01897/HID and CICYT-TIN2004-006689-C03-03 projects, granted by The Spanish Ministry of Science and Technology, and the TOROS project (contract ENV4-CT96-0217 of the ELOISE E.C. project).

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Authors and Affiliations

  1. Grupo de Recursos y Calidad del Agua, Escuela Politécnica Superior. Universidad de Huelva, 21819, La Rábida-Huelva, Spain

    J. A. Grande & M. L. de la Torre

  2. Grupo de Control y Robótica, Escuela Politécnica Superior. Universidad de Huelva, 21819, La Rábida-Huelva, Spain

    J. Aroba & J. M. Andújar

  3. Departamento de Lenguajes y Sistemas Informáticos, Escuela Técnica Superior de Ingeniería Informática. Universidad de Sevilla, 41012, Sevilla, Spain

    J. C. Riquelme

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  1. J. Aroba
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  2. J. A. Grande
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  3. J. M. Andújar
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  4. M. L. de la Torre
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  5. J. C. Riquelme
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Correspondence to M. L. de la Torre.

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Aroba, J., Grande, J.A., Andújar, J.M. et al. Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes. Environ Geol 53, 135–145 (2007). https://doi.org/10.1007/s00254-006-0627-0

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