Estimating bio-kinetics for nitrogen source oxidation processes using online measurements in activated sludge

Hoque, M. A. and Aravinthan, V. (2012) Estimating bio-kinetics for nitrogen source oxidation processes using online measurements in activated sludge. Journal of Environmental Technology and Construction Engineering, 1 (1). pp. 53-65. ISSN 2226-2725

Abstract

In-depth understanding of bio-kinetic parameters corresponding to organic and inorganic nitrogen oxidation is essential for the improvement of the operation systems of nitrogen removal in wastewater treatment plants. Researchers have been trying to unravel carbon and nitrogen removal mechanisms in activated sludge for the last two decades by upgrading existing bio-kinetic models to make them capable in explaining the real scenario of substrate biodegradation processes. In most cases, the nitrification models are found to be calibrated assuming constant carbon dioxide transfer rate (CTR) in the model structure, though it is inherently a non-linear process which has an impact on the titrimetric modeling. As a consequence, a complete two-step nitrification model has been developed recently paying attention to organic nitrogen source degradation pathway along with due consideration given for non-linear CTR process occurring in activated sludge system. In this research paper, it is aimed to estimate the nitrification process kinetics for organic nitrogen (urea) and inorganic nitrogen (ammonium) where the recently developed two-step nitrification model was calibrated with experimentally observed on-line measurements. Tests were performed in simple batch reactor equipped with respirometric and titrimetric set-up. For both the urea and ammonium nitrification studies, the bio-kinetic model was calibrated using three different calibration approaches: using respirometric measurements alone, titrimetric measurements alone and combined respirometric-titrimetric measurements. A non-linear technique employing the algorithms in the optimization toolbox included in MATLAB was used during the parameter estimation process. Estimated parameters (both the kinetic and stoichiometric) obtained from all three stated combinations (calibration approaches) were statistically evaluated and compared for confirming the accuracy of model calibration process. Moreover, the relationship between substrate concentration and short-term biochemical oxygen demand (BODst) was checked for the verification of the respirometric method of the nitrification model.


Statistics for USQ ePrint 22782
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 09 May 2013 03:53
Last Modified: 22 Aug 2014 06:22
Uncontrolled Keywords: activated sludge; confidence interval; model calibration; nitrification; parameter estimation; respirometric and titrimetric measurements
Fields of Research : 09 Engineering > 0907 Environmental Engineering > 090702 Environmental Engineering Modelling
09 Engineering > 0904 Chemical Engineering > 090409 Wastewater Treatment Processes
10 Technology > 1003 Industrial Biotechnology > 100399 Industrial Biotechnology not elsewhere classified
Socio-Economic Objective: B Economic Development > 90 Commercial Services and Tourism > 9004 Water and Waste Services > 900499 Water and Waste Services not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/22782

Actions (login required)

View Item Archive Repository Staff Only