• DocumentCode
    2832676
  • Title

    Notice of Retraction
    Modeling and simulation for the traditional activated sludge processes based on cellular automata

  • Author

    Fang-fang Zhang ; Peng Cui

  • Author_Institution
    Sch. of Control Sci. & Eng., Shan Dong Univ., Jinan, China
  • Volume
    7
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    After discussing the complexity of activated sludge system, its biological mechanism, and characteristics of traditional activated sludge method, the paper established a cellular automata model for traditional activated sludge processes, and then made simulations with practical parameters. The results indicate that the model well represents the evolvement of microbe in one upright section through configurations, and well describes the removal of substrate and the growth of activated sludge. The model realizes visualization of wastewater treatment in the bioreactor and visually depicts some characteristics of complex systems. Finally, the advantages of this model were analyzed.
  • Keywords
    biology; cellular automata; computational complexity; sludge treatment; biological mechanism; cellular automata; complex systems; practical parameters; traditional activated sludge processes; wastewater treatment; Biological system modeling; Biotechnology; Effluents; Microorganisms; Cellular automata; activated sludge; complex system; microbe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620337
  • Filename
    5620337