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Film analysis of activated sludge microbial discs by the Taguchi method and grey relational analysis

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Abstract

A biofilm model with substrate inhibition is proposed for the activated sludge growing discs of rotating biological contactor (RBC); this model is different from the steady-state biofilm model based on the Monod assumption. Both deep and shallow types of biofilms are examined and discussed. The biofilm models based on both Monod and substrate inhibition (Haldane) assumptions are compared. In addition, the relationships between substrate utilization rate, biofilm thickness, and liquid phase substrate concentration are discussed. The influence order of the factors that affect the biofilm thickness is studied and discussed by combining the Taguchi method and grey relational analysis. In this work, a Taguchi orthogonal table is used to construct the series that is needed for grey relational analysis to determine the influence priority of the four parameters S B , kX f , K s, and K i .

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References

  1. Benefield LD, Randall CW (1980) Biological process design for wastewater treatment, Prentice Hall, New York

  2. Tokuz RY (1989) Biodegradation and removal of phenols in rotating biological contactors. Water Sci Technol 21:1751–1754

    CAS  Google Scholar 

  3. Opatken EJ, Bond JJ (1991) RBC nitrification of high ammonia leachates. Environ Prog 10:60–63

    CAS  Google Scholar 

  4. Buisman CJ, Wit B, Lettinga G (1990) Biotechnological sulphide removal in three polyurethane carrier reactors: stirred reactor, biorotor reactor and upflow reactor. Water Res 24:245–251

    Article  CAS  Google Scholar 

  5. Brower JB, Barford CC (1997) Biological fixed-film systems. Water Environment Res 69:487–500

    CAS  Google Scholar 

  6. Clark JH, Moseng EM, Asano T (1978) Performance of a rotating biological contractor under varying wastewater flow. J Water Poll Control Fed 50:896–911

    CAS  Google Scholar 

  7. Rittmann BE, McCarty PL (1980) Model of steady-state biofilm kinetics. Biotechnol Bioeng 22:2343–2357

    Google Scholar 

  8. Suidan MT, Wang YT (1985) Unified analysis of biofilm kinetics. J Environ Eng 111:634–646

    CAS  Google Scholar 

  9. Suidan MT (1986) Performance of deep biofilm reactor. J Environ Eng 112:78–93

    CAS  Google Scholar 

  10. Arquiaga MC, Canter LW, Robertson JM (1995) Microbiological characterization of the biological treatment of aircraft paint stripping wastewater. Environ Pollut 89:189–195

    Article  CAS  Google Scholar 

  11. Sagy M, Kott Y (1990) Efficiency of rotating biological contractor in removing pathogenic bacteria from domestic sewage. Water Res 24:1125–1128

    Article  Google Scholar 

  12. Go JS, Cho YH (1999) Experimental evaluation of anodic boding process based on the Taguchi analysis of interfacial fracture toughness. Sensors Actuators A 73:52–57

    Article  Google Scholar 

  13. Georgilakis P, Hatziargyriou N, Paparigas D, Elefsiniotis S (2001) Effective use of magnetic materials in transformer manufacturing. J Mater Process Technol 108:209–212

    Article  CAS  Google Scholar 

  14. Deng J (1982) Control problems of grey systems. Syst Control Lett 5:288–294

    Google Scholar 

  15. Deng J (1989) Introduction to grey system theory. J Grey Syst 1:1–24

    Google Scholar 

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Correspondence to M. J. Syu.

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Chen, M.Y., Syu, M.J. Film analysis of activated sludge microbial discs by the Taguchi method and grey relational analysis. Bioprocess Biosyst Eng 26, 83–92 (2003). https://doi.org/10.1007/s00449-003-0340-2

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  • DOI: https://doi.org/10.1007/s00449-003-0340-2

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