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作者:

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

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摘要:

A two-step nitrification model was built by simplifying the standard activated sludge model No. 1, and dynamic dissolved oxygen (DO) simulation can be done for aerobic nitrification process in a sequencing batch reactor (SBR) with constant aeration intensity. The parameters in the model could be distinguished into two groups by model identification: in a group parameter values can be directly obtained, including yield coefficient, DO saturation coefficient (or substrate coefficient), and in other group parameter values needed to be estimated by optimization algorithm. Adopting the parameter values recommended by literatures, dynamic processes were simulated for important process variables, which revealed multi-DO levels and fitted well with the real response trend in SBR operation. Optimal experimental design method was employed for obtaining dynamic DO data of aerobic nitrification process in the SBR with typical aeration intensity, from which the values of KLa and SOeq could be determined by theoretical analysis and second order differential treatment of these data. Then, further parameter estimation could be optimal based on the model identification and KLa determination. © All Rights Reserved.

关键词:

Activated sludge process Batch reactors Binary alloys Dissolved oxygen Lanthanum alloys Nitrification Parameter estimation Statistics

作者机构:

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

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来源 :

CIESC Journal

ISSN: 0438-1157

年份: 2012

期: 12

卷: 63

页码: 4048-4054

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