Model-based analysis on growth of activated sludge in a sequencing batch reactor

Ni, Bing-Jie and Yu, Han-Qing (2007) Model-based analysis on growth of activated sludge in a sequencing batch reactor. Applied Microbiology and Biotechnology, 77 3: 723-731. doi:10.1007/s00253-007-1185-4

Author Ni, Bing-Jie
Yu, Han-Qing
Title Model-based analysis on growth of activated sludge in a sequencing batch reactor
Journal name Applied Microbiology and Biotechnology   Check publisher's open access policy
ISSN 0175-7598
Publication date 2007-12
Sub-type Article (original research)
DOI 10.1007/s00253-007-1185-4
Volume 77
Issue 3
Start page 723
End page 731
Total pages 9
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Formatted abstract
A mathematical model is developed to describe the growth of multiple microbial species such as heterotrophs and autotrophs in activated sludge system. Performance of a lab-scale sequencing batch reactor involving storage process is used to evaluate the model. Results show that the model is appropriate for predicting the fate of major model components, i.e., chemical oxygen demand, storage polymers (X STO), volatile suspended solid (VSS), ammonia, and oxygen uptake rate (OUR). The influence of sludge retention time (SRT) on reactor performance is analyzed by model simulation. The biomass components require different time periods from one to four times of SRT to reach steady state. At an SRT of 20 days, the active bacteria (autotrophs and heterotrophs) constitute about 57% of the VSS; the remaining biomass is not active. The model established demonstrates its capacity of simulating the reactor performance and getting insight in autotrophic and heterotrophic growth in complex activated sludge systems.
Keyword Activated sludge
Sequencing Batch Reactor
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Advanced Water Management Centre Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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