Simulation of long-term nutrient removal in a full-scale closed-loop bioreactor for sewage treatment: an example of Bayesian inference
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  • 作者:Zheng Li ; Rong Qi ; Wei An ; Takashi Mino…
  • 关键词:activated sludge model ; Bayesian inference ; biological nutrient removal ; closed ; loop bioreactor ; oxidation ditch ; denitrifying polyphosphate accumulating organisms
  • 刊名:Frontiers of Environmental Science & Engineering
  • 出版年:2015
  • 出版时间:June 2015
  • 年:2015
  • 卷:9
  • 期:3
  • 页码:534-544
  • 全文大小:298 KB
  • 参考文献:1.Henze M, Gujer W, Mino T, van Loosdrecht M C M. Activated Sludge Models ASM1, ASM2, ASM2d and ASM3: Scientific and Technical Report No. 9. London: IWA Publishing, 2000
    2.Rieger L, Koch G, Kühni M, Gujer W, Siegrist H. The EAWAG Bio-P module for activated sludge model No. 3. Water Research, 2001, 35(16): 3887-903View Article
    3.van Veldhuizen H M, van Loosdrecht M C M, Heijnen J J. Modelling biological phosphorus and nitrogen removal in a full scale activated sludge process.Water Research, 1999, 33(16): 3459-468View Article
    4.Brdjanovic D, van Loosdrecht M C M, Versteeg P, Hooijmans C M, Alaerts G J, Heijnen J J. Modelling COD, N and P removal in a fullscale WWTP Haarlem Waarderpolder. Water Research, 2000, 34(3): 846-58View Article
    5.Meijer S C F. Theoretical and practical aspects of modeling activated sludge processes. Dissertation for the Doctoral Degree. Delft, Netherlands: Delft University of Technology, 2004
    6.Barker P S, Dold P L. General model for biological nutrient removal activated-sludge systems: model presentation. Water Environment Research, 1997, 69(5): 969-84View Article
    7.Hu Z R, Wentzel M C, Ekama G A. A general kinetic model for biological nutrient removal activated sludge systems: model development. Biotechnology and Bioengineering, 2007, 98(6): 1242-258View Article
    8.Carrette R, Bixio D, Thoeye C, Ockier P. Full-scale application of the IAWQ ASM No. 2d model. Water Science and Technology, 2001, 44(2-3): 17-4
    9.Ingildsen P, Rosen C, Gernaey K V, Nielsen M K, Guildal T, Jacobsen B N. Modelling and control strategy testing of biological and chemical phosphorus removal at Aved?re WWTP. Water Science and Technology, 2006, 53(4-): 105-13View Article
    10.Hao X D, van Loosdrecht M C M, Meijer S C F, Qian Y. Model-based evaluation of two BNR processes—UCT and A2N. Water Research, 2001, 35(12): 2851-860View Article
    11.Meijer S C F, van Loosdrecht M C M, Heijnen J J. Metabolic modelling of full-scale biological nitrogen and phosphorus removing wwtp’s. Water Research, 2001, 35(11): 2711-723View Article
    12.Brun R, Kühni M, Siegrist H, Gujer W, Reichert P. Practical identifiability of ASM2d parameters -systematic selection and tuning of parameter subsets. Water Research, 2002, 36(16): 4113-127View Article
    13.Makinia J, Rosenwinkel K H, Spering V. Long-term simulation of the activated sludge process at the Hanover-Gümmerwald pilot WWTP. Water Research, 2005, 39(8): 1489-502View Article
    14.Wichern M, Obenaus F, Wulf P, Rosenwinkel K H. Modelling of full-scale wastewater treatment plants with different treatment processes using the Activated Sludge Model no. 3. Water Science and Technology, 2001, 44(1): 49-6
    15.Gernaey K V, van Loosdrecht MC M, Henze M, Lind M, J?rgensen S B. Activated sludge wastewater treatment plant modelling and simulation: state of the art. Environmental Modelling & Software, 2004, 19(9): 763-83View Article
    16.Weijers S R, Vanrolleghem P A. A procedure for selecting best identifiable parameters in calibration activated sludge model No. 1 to full-scale plant data. Water Science and Technology, 1997, 36(5): 69-9
    17.Ruano M V, Ribes J, de Pauw D J W, Sin G. Parameter subset selection for the dynamic calibration of activated sludge models (ASMs): experience versus systems analysis. Water Science and Technology, 2007, 56(8): 107-15View Article
    18.Sin G, de Pauw D J W, Weijers S, Vanrolleghem P A. An efficient approach to automate the manual trial and error calibration of activated sludge models. Biotechnology and Bioengineering, 2008, 100(3): 516-28View Article
    19.Machado V C, Tapia G, Gabriel D, Lafuente J, Baeza J A. Systematic identifiability study based on the Fisher Information Matrix for reducing the number of parameters calibration of an activated sludge model. Environmental Modelling & Software, 2009, 24(11): 1274-284View Article
    20.Hulsbeek J J W, Kruit J, Roeleveld P J, van Loosdrech M C. A practical protocol for dynamic modelling of activated sludge systems. Water Science and Technology, 2002, 45(6): 127-36
    21.Melcer H, Dold P L, Jones R M, Bye C M, Takacs I, Stensel H D, Wilson A W, Sun P, Bury S. Methods for Wastewater Characterization in Activated Sludge Modelling. Alexandria: Water Environment Research Foundation (WERF), 2003
    22.Vanrolleghem P A, Insel G, Petersen B, Sin G, de Pauw D, Nopens I, Weijers S, Gernaey K. A comprehensive model calibration procedure for activated sludge models. In: Proceedings of the Water Environment Federation, WEFTEC 2003: Session 31 through Session 40. Alexandria: Water Environment Federation, 2003, 210-37
    23.Langergraber G, Rieger L, Winkler S, Alex J, Wiese J, Owerdieck C, Ahnert M, Simon J, Maurer M. A guideline for simulation studies of wastewater treatment plants. Water Science and Technology, 2004, 50(7): 131-38
    24.García-Usach F, Ferrer J, Bouzas A, Seco A. Calibration and simulation of ASM2d at different temperatures in a phos
  • 作者单位:Zheng Li (1)
    Rong Qi (1)
    Wei An (1)
    Takashi Mino (2)
    Tadashi Shoji (3)
    Willy Verstraete (4)
    Jian Gu (5)
    Shengtao Li (5)
    Shiwei Xu (5)
    Min Yang (1)

    1. State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100086, China
    2. Socio-Cultural Environmental Studies, the University of Tokyo, Kashiwa City, 277-8563, Japan
    3. Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry, Chiba, 270-1194, Japan
    4. Laboratory of Microbial Ecology and Technology (LabMET), Ghent University, Gent, 9000, Belgium
    5. Beijing Drainage Group Co. Ltd, Beijing, 100044, China
  • 刊物主题:Environment, general;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:2095-221X
文摘
In this study, the performance of nitrogen and phosphorus removal in a full-scale closed-loop bioreactor (oxidation ditch) system was simulated using the ASM2d model. Routine data describing the process for two years were compiled for calibration and validation. To overcome the identifiability problem, the classic Bayesian inference approach was utilized for parameter estimation. The calibrated model could describe the long-term trend of nutrient removal and short-term variations of the process performance, showing that the Bayesian method was a reliable and useful tool for the parameter estimation of the activated sludge models. The anoxic phosphate uptake by polyphosphate accumulating organisms (PAO) contributed 71.2% of the total Poly-P storage, which reveals the dominance of denitrifying phosphorus removal process under the oxygen limiting conditions. It was found that 58.7% of the anoxic Poly-P storage and denitrification by PAO in the reactor was achieved in the aerated compartment, implying that the PAO’s anoxic activity was significantly stimulated by the low dissolved oxygen (DO) level in this compartment due to the oxygen gradient caused by brush aerator.

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