• DocumentCode
    2513671
  • Title

    Modeling Dissolved Oxygen Effects on Biological Nutrient Removal in a Sequencing Batch Reactor with Activated Sludge Model 2d

  • Author

    Gao Pin ; Liu Zhen-Hong ; Xue Gang ; Zhou Meihua ; Liu Lu ; Zhao Yun-Zhi ; Han Dan

  • Author_Institution
    Coll. of Environ. Sci. & Eng., Donghua Univ., Shanghai, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The simulation software developed by C++ Build language based on activated sludge model 2d (ASM2d) was carried out to address the effects of dissolved oxygen (DO) on the behavior of biological nutrient removal in a sequencing batch reactor (SBR) system. Changes of COD, nitrogen and phosphorus concentrations could be reliably predicted according to the time arrangement of every phase adapted to the SBR conditions. Better performance of biological nutrient removal could be achieved as long as DO concentration was above 1.5 mg/L. If DO concentration was at a low level <1 mg/L, the growth and activity of microbes would be inhibited, especially for nitrifying organisms and phosphorus accumulating organisms (PAOs). Consequently, the nutrient removal performance of the process would be affected significantly. Therefore, maintaining DO concentration above 1.5 mg/L in the SBR activated sludge system was adaptive.
  • Keywords
    C++ language; biochemistry; biology computing; dissolving; microorganisms; oxygen; sludge treatment; wastewater treatment; C++ build language; N; O2; P; activated sludge model 2d; biological nutrient removal; dissolved oxygen effect modeling; microbes; nitrogen concentration; phosphorus concentration; sequencing batch reactor; simulation software; Biological control systems; Biological system modeling; Biology; Equations; Inductors; Microorganisms; Nitrogen; Organisms; Oxygen; Wastewater;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163073
  • Filename
    5163073