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[会议论文]

A simple soft sensing method based on DO simulation for COD/OUR/ammonia/nitrite/nitrate in a constant aerotion SBR

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Author:

Zhu, Ao (Zhu, Ao.) | Wang, Shuying (Wang, Shuying.) (Scholars:王淑莹) | Peng, Yongzhen (Peng, Yongzhen.) (Scholars:彭永臻)

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Abstract:

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. © (2012) Trans Tech Publications, Switzerland.

Keyword:

Nitrification Parameter estimation Nutrients Stoichiometry Dissolved oxygen Computer software Denitrification Activated sludge process Computer simulation Substrates Degradation

Author Community:

  • [ 1 ] [Zhu, Ao]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wang, Shuying]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Peng, Yongzhen]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

ISSN: 1022-6680

Year: 2012

Volume: 588-589

Page: 64-67

Language: English

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 2

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