A Simple Soft Sensing Method Based on DO Simulation for COD/OUR/Ammonia/Nitrite/Nitrate in a Constant Aerotion SBR


Article Preview

Dissolved Oxygen (DO) is one of critical factors influencing substrate degradation and nitrification rates in activated sludge process. A two-step nitrification model describing the aeration period of the sequencing batch reactor (SBR) operation is developed. Parameter estimation of this model using the DO data determine the stoichiometry and kinetic parameters as well as the initial value of main nutrients, including readily biodegradable substrate, ammonia, nitrite and nitrate. Only if the parameter estimation is implemented, reaction related substrates can be predicted if new initial values are given. With optimal DO data, this paper pointed out that without initial value monitoring, both of the parameter estimation and prediction of the main nutrients profiles can be done through a simple method based on a global parameter estimation algorithm.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




A. Zhu et al., "A Simple Soft Sensing Method Based on DO Simulation for COD/OUR/Ammonia/Nitrite/Nitrate in a Constant Aerotion SBR", Advanced Materials Research, Vols. 588-589, pp. 64-67, 2012

Online since:

November 2012




[1] Durrenmatt, D.J. and W. Gujer: Data-driven modeling approaches to support wastewater treatment plant operation. Environmental Modelling & Software Vol 30(2012), pp.47-56.

DOI: https://doi.org/10.1016/j.envsoft.2011.11.007

[2] Stare, A., N. Hvala, and D. Vrecko: Modeling, identification, and validation of models for predictive ammonia control in a wastewater treatment plant - A case study. Isa Transactions Vol 45(2) (2006), pp.159-174.

DOI: https://doi.org/10.1016/s0019-0578(07)60187-6

[3] Queinnec, I. and M. Sperandio: Simultaneous estimation of sludge biological activity and influent nitrogen load using ORP and DO dynamics. Bioprocess and Biosystems Engineering Vol 27(5) (2005), pp.329-337.

DOI: https://doi.org/10.1007/s00449-005-0411-7

[4] Henze M, Grady CPL Jr, Gujer W, and Marais GvR and Matsuo T: Activated sludge model No 1, IAWPRC Sci and Tech Report, London (1987).

[5] Manser, R., K. Muche, W. Gujer, and H. Siegrist: A rapid method to quantify nitrifiers in activated sludge. Water Research Vol 39(8) (2005), pp.1585-1593.

DOI: https://doi.org/10.1016/j.watres.2004.12.040

[6] Koch, G., M. Kuhni, W. Gujer, and H. Siegrist: Calibration and validation of Activated Sludge Model No. 3 for Swiss municipal wastewater. Water ResearchVol 34(14) (2000), pp.3580-3590.

DOI: https://doi.org/10.1016/s0043-1354(00)00105-6

[7] Kaelin, D., R. Manser, L. Rieger, J. Eugster, K. Rottermann, and H. Siegrist, Extension of ASM3 for two-step nitrification and denitrification and its calibration and validation with batch tests and pilot scale data. Water Research 43(6) (2009).

DOI: https://doi.org/10.1016/j.watres.2008.12.039

[8] Yang, Q., X.H. Liu, C.Y. Peng, S.Y. Wang, H.W. Sun, and Y.Z. Peng: N2O Production during Nitrogen Removal via Nitrite from Domestic Wastewater: Main Sources and Control Method. Environmental Science & Technology Vol 43(24) (2009), pp.9400-9406.

DOI: https://doi.org/10.1021/es9019113