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Fuzzy Modeling of the Spatial Evolution of the Chemistry in the Tinto River (SW Spain)

Author

Listed:
  • J. Grande
  • Jose Andújar
  • Javier Aroba
  • Rafael Beltrán
  • Maria de la Torre
  • Juan Cerón
  • T. Gómez

Abstract

The oxidation of sulfide minerals generates acid waters containing high concentrations of sulfates, metals and metalloids. The overriding chemical mechanism of AMD has now been reasonably well understood, although accurate assessment or prediction of its ecological impact are still difficult due to the complexity of the processes involved. The main objective of this work is to characterize the behavior of As conditioned by the presence of other elements which are characteristic of AMD pollution, both in the generating milieu, and in the receiving milieu of the Tinto river, and thus to be able to establish the differences in behavior at both sites by using a fuzzy computer tool. The extremely low As values are due to different circumstances at each sampling site: the pH in generating milieu may reach extremely high values while in receiving milieu it does not rise above medium–high values. The differences remain for extremely high As values, proving very much conditioned by the temperature in the generating milieu and only compatible with extremely high values for this, while in the receiving milieu it has barely any influence. It is the redox potential especially that presents a more pronounced difference, while in generating milieu it can have any value except extremely high and low, in receiving milieu we only find extremely low and very concentrated values. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • J. Grande & Jose Andújar & Javier Aroba & Rafael Beltrán & Maria de la Torre & Juan Cerón & T. Gómez, 2010. "Fuzzy Modeling of the Spatial Evolution of the Chemistry in the Tinto River (SW Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3219-3235, September.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:12:p:3219-3235
    DOI: 10.1007/s11269-010-9603-2
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    References listed on IDEAS

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    1. M. Torre & J. Grande & A. Jiménez & J. Borrego & J. Díaz Curiel, 2009. "Time Evolution of an AMD-Affected River Chemical Makeup," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(7), pages 1275-1289, May.
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    Cited by:

    1. Jose M. Davila & Aguasanta M. Sarmiento & Javier Aroba & Juan C. Fortes & Jose A. Grande & Maria Santisteban & Francisco Cordoba & Mercedes Leiva & Ana T. Luís, 2021. "Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    2. A. Javier Barragán & Juan M. Enrique & Antonio J. Calderón & José M. Andújar, 2018. "Discovering the dynamic behavior of unknown systems using fuzzy logic," Fuzzy Optimization and Decision Making, Springer, vol. 17(4), pages 421-445, December.
    3. Maria José Rivera & Ana Teresa Luís & José Antonio Grande & Aguasanta Miguel Sarmiento & José Miguel Dávila & Juan Carlos Fortes & Francisco Córdoba & Jesus Diaz-Curiel & María Santisteban, 2019. "Physico-Chemical Influence of Surface Water Contaminated by Acid Mine Drainage on the Populations of Diatoms in Dams (Iberian Pyrite Belt, SW Spain)," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    4. V. Karimi & R. Khatibi & M. A. Ghorbani & D. Tien Bui & S. Darbandi, 2020. "Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2389-2417, June.

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