An approach for modeling two-step denitrification in activated sludge systems

Ni, Bing-jie and Yu, Han-Qing (2008) An approach for modeling two-step denitrification in activated sludge systems. Chemical Engineering Science, 63 6: 1449-1459. doi:10.1016/j.ces.2007.12.003

Author Ni, Bing-jie
Yu, Han-Qing
Title An approach for modeling two-step denitrification in activated sludge systems
Journal name Chemical Engineering Science   Check publisher's open access policy
ISSN 0009-2509; 873-4405
Publication date 2008-03-01
Sub-type Article (original research)
DOI 10.1016/j.ces.2007.12.003
Open Access Status Not Open Access
Volume 63
Issue 6
Start page 1449
End page 1459
Total pages 11
Place of publication Oxford United Kingdom
Publisher Pergamon
Language eng
Formatted abstract
In the widely used Activated Sludge Models (ASMs) for biological wastewater treatment, denitrification is assumed as a single-step process, which is not true for some cases where a considerable amount of nitrite is build-up in system. This causes limitation to the application of ASMs. In this work, with a consideration of denitrification on both nitrite and nitrate, and an introduction of the simultaneous storage and growth concept, a two-step ASM3-based denitrification model is established. The sensitivity of the effluent chemical oxygen demand, NO2- - N and NO3- - N concentrations toward the stoichiometric and kinetic coefficients is analyzed. Model calibration is performed by comparing the measured and predicted values for model components. Thereafter, this model is evaluated with the experimental results of four different case studies on denitrification and compared with the original ASM3. The evaluation and comparison results demonstrate that the developed model is able to better and more mechanistically describe the denitrification process in the activated sludge systems.
Keyword Activated sludge
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 25 times in Thomson Reuters Web of Science Article | Citations
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