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The Scientific World Journal
Volume 2013, Article ID 590267, 9 pages
http://dx.doi.org/10.1155/2013/590267
Research Article

The Design and Implementation of Adsorptive Removal of Cu(II) from Leachate Using ANFIS

1Department of Environmental Engineering, Engineering Faculty, Ondokuz Mayıs University, Samsun, Kurupelit 55139, Turkey
2Department of Electric and Electronic Engineering, Engineering Faculty, Ondokuz Mayıs University, Samsun, Kurupelit 55139, Turkey

Received 3 April 2013; Accepted 26 May 2013

Academic Editors: B. Dou, H. Kazemian, and A. Rodriguez

Copyright © 2013 Nurdan Gamze Turan and Okan Ozgonenel. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • John Kabuba, Antoine Mulaba-Bafubiandi, and Kim Battle, “Neural Network Technique for Modeling of Cu (II) Removal from Aqueous Solution by Clinoptilolite,” Arabian Journal for Science and Engineering, 2014. View at Publisher · View at Google Scholar
  • Fan Jingjing, “Leakage Performance of the GM + CCL Liner System for the MSW Landfill,” The Scientific World Journal, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Mutiu Kolade Amosa, “Process optimization of manganese and H2S removals from palm oil mill effluent (POME) using enhanced empty fruit bunch (EFB)-based powdered activated carbon (PAC) produced from pyrolysis,” Environmental Nanotechnology, Monitoring & Management, 2015. View at Publisher · View at Google Scholar
  • Mutiu K. Amosa, Mohammed S. Jami, Ma'an F. R. Alkhatib, Dzun N. Jimat, and Suleyman A. Muyibi, “A Two-Step Optimization and Statistical Analysis of COD Reduction from Biotreated POME Using Empty Fruit Bunch-Based Activated Carbon Produced from Py,” Water Quality Exposure And Health, vol. 7, no. 4, pp. 603–616, 2015. View at Publisher · View at Google Scholar
  • Md. Monjurul Alam, Md. Zahangir Alam, Mohammed Saedi Jami, Mutiu Kolade Amosa, and Masashi Iwata, “Study of the Effects of Process Parameters on Electroforced Sedimentation in Solid-Liquid Separation Using Response Surface Methodology,” Waste And Biomass Valorization, vol. 7, no. 3, pp. 583–591, 2016. View at Publisher · View at Google Scholar
  • Mutiu K. Amosa, Mohammed S. Jami, and Nurul-Shafiqah Rosli, “Optimization of manganese reduction in biotreated POME onto 3A molecular sieve and clinoptilolite zeolites,” Water Environment Research, vol. 88, no. 6, pp. 566–576, 2016. View at Publisher · View at Google Scholar
  • Mutiu Kolade Amosa, Mohammed Saedi Jami, Ma���an Fahmi R. Alkhatib, Tamrin Tajari, Dzun Noraini Jimat, and Rasheed Uthman Owolabi, “Turbidity and suspended solids removal from high-strength wastewater using high surface area adsorbent: Mechanistic pathway and statistical analysis,” Cogent Engineering, vol. 3, no. 1, 2016. View at Publisher · View at Google Scholar
  • Mutiu K. Amosa, “Sorption of water alkalinity and hardness from high-strength wastewater on bifunctional activated carbon: process optimization, kinetics and equilibrium studies,” Environmental Technology, pp. 1–24, 2016. View at Publisher · View at Google Scholar
  • Ali Oǧuzhan Narci, Emine Bican, Nevim Genç, and Esra Can Doǧan, “Multi-response optimization of process parameters for imidacloprid removal by reverse osmosis using Taguchi design,” Water Environment Research, vol. 89, no. 5, pp. 440–450, 2017. View at Publisher · View at Google Scholar
  • Is Fatimah, and Septian P. Yudha, “N-[3-(Trimethoxysilyl)propyl]ethylenediamine functionalized saponite as adsorbent of nickel from aqueous solution,” Engineering Journal, vol. 21, no. 2, pp. 107–121, 2017. View at Publisher · View at Google Scholar
  • Mojtaba Hedayati Marzbali, and Mohamad Esmaieli, “Fixed bed adsorption of tetracycline on a mesoporous activated carbon: Experimental study and neuro-fuzzy modeling,” Journal of Applied Research and Technology, vol. 15, no. 5, pp. 454–463, 2017. View at Publisher · View at Google Scholar