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Modelisation of Nitrification under Inhibited Environment by Moving Bed Bio-Film Reactor Technique

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Author(s): Pham T.H. Duc | Le V. Cat | Jean-Luc Vasel

Journal: American Journal of Environmental Sciences
ISSN 1553-345X

Volume: 6;
Issue: 6;
Start page: 553;
Date: 2010;
Original page

Keywords: Nitrification under inhibited conditions | Modelisation of Nitrification | Moving Bed Biofilm Reactor (MBBR) | biological nitrification | dissolved oxygen concentration | biochemical processes | nitrifying bacteria | oligotrophic conditions | inhibitory factors | wastewater aquaculture | ammonium concentration | kinetic parameters

ABSTRACT
Problem statement: Nitrification by Moving Bed Biofilm Reactor (MBBR) involves physical, chemical and biological processes to remove toxic ammonia for aquaculture that are governed by a variety of parameters, like substrate and dissolved oxygen concentrations, organic matters, temperature, pH, alkalinity and turbulence level, which impact negatively or positively on nitrification kinetics. Approach: The situation becomes more serious as the reaction rate is inhibited by low ammonium concentration and high salinity. That problems usually occur in treatment systems of aquatic breeding hatcheries. Results: In this study, experiments have been conducted to evaluate the impact of salinity on nitrification rate through kinetic constant (k) and reaction order (n) based on general equation v = kCn. Moving bed biofilm reactor was operated continuously at same initial amounts of nitrogen and Phosphorus very low (oligotrophic conditions). Firstly, over view the impact of salinity on kinetic rate to modeling that effect k and n to modelisation that affects and obtained the impact of salinity content in the reaction medium (X) and the acclimatization phase (Y) on the kinetic constant (k = 0.097 e (-0.0003Yƒ{0.0346)X) and on the kinetic order (n = (0.0002Y-0.0195) X-0.009Y + 1.2382). Conclusion/Recommendations: Results from kinetic analysis allowed the prediction of the reaction rate and reaction yield with rather high accuracy, helping the design and operation of a biofilter under practical conditions.
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