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THE APPLICATION OF FUZZY LOGIC TECHNIQUES TO THE CHARACTERISATION OF TREATMENT SYSTEMS IN TWO SEWAGE PLANTS

Grande, Jose Antonio, Torre, Maria Luisa de la, Valente, Teresa, Aroba, Javier, Sanchis, Juan, Santisteban, Maria

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b31/s12.092View metrics

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Title
THE APPLICATION OF FUZZY LOGIC TECHNIQUES TO THE CHARACTERISATION OF TREATMENT SYSTEMS IN TWO SEWAGE PLANTS
Authors
Grande, Jose Antonio, Torre, Maria Luisa de la, Valente, Teresa, Aroba, Javier, Sanchis, Juan, Santisteban, Maria
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-13-1
Language
en
Publication type
Conference Paper
References10

  1. Aroba, J., 2003. Avances en la toma de decisiones en proyectos de desarrollo de software PhD Thesis, University of Sevilla.

  2. Aroba, J., Grande, J. A., Andujar, J. M., de la Torre, M. L., Riquelme, J. C., 2007. Application of fuzzy logic and data mining techniques as tools for qualitativ e interpretation of acid mine drainage processes. Environ. Geol. 53, 135–145.

  3. Grande, J.A., Andújar, J.M., Aro ba, J., de la Torre, M.L., 2010. Presence of As in the fluvialnetwork due to AMD processes in the Riotinto mining area (SW Spain): a fuzzy logic qualitative model. Journal of Hazardous Materials. 176, 395-401.

  4. Jiménez, A., Aroba, J., de la Torre, M.L., Andujar, J.M., Grande, J.A., 2009. Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques. Journal of Hydroinformatics, 11, 147-153.

  5. Valente T., Leal Gomes, C., 2009. Fuzzy modelling of acid mine drainage environments using geochemical, ecological and mineralogical indicators. Environmental Geology 57, 653-663.

  6. Aroba, J., 2003. Avances en la toma de decisiones en proyectos de desarrollo de software PhD Thesis, University of Sevilla.

  7. Aroba, J., Grande, J. A., Andujar, J. M., de la Torre, M. L., Riquelme, J. C., 2007. Application of fuzzy logic and data mining techniques as tools for qualitativ e interpretation of acid mine drainage processes. Environ. Geol. 53, 135–145.

  8. Grande, J.A., Andújar, J.M., Aro ba, J., de la Torre, M.L., 2010. Presence of As in the fluvialnetwork due to AMD processes in the Riotinto mining area (SW Spain): a fuzzy logic qualitative model. Journal of Hazardous Materials. 176, 395-401.

  9. Jiménez, A., Aroba, J., de la Torre, M.L., Andujar, J.M., Grande, J.A., 2009. Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques. Journal of Hydroinformatics, 11, 147-153.

  10. Valente T., Leal Gomes, C., 2009. Fuzzy modelling of acid mine drainage environments using geochemical, ecological and mineralogical indicators. Environmental Geology 57, 653-663.

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