000			04125cas|a2200421 i 4500
005			20260818095115.0
008			230399s1994 th uzm rtt 00| a1eng d
035			_a.b10228809
099		9	_aAIT Thesis no. EV-94-12
100	1		_aHossain, Md. Delwar
245	1	0	_aEffect of temperature on nitrification by immobilized biomass in Biological Fluidized Bed Reactors (BFBR) : _ba theoretical approach
260			_aBangkok : _bAsian Institute of Technology, _c1994
300			_a110 leaves
490	1		_aThesis ; _vno. EV-94-12
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources & Development
502			_aThesis (M.Eng.) - Asian Institute of Technology, 1994
520			_aThe use of microbial cells, artificially immobilized inside the porous support matrix in Biological Fluidized Bed Reactors (BFBR) has long been practiced for fermentation processes; only recently, this technique has been applied for wastewater treatment (nitrification etc.). At present, none of the existing models adequately explain the effect of temperature on BFBRs used for nitrification. Temperature dependence of the biological reaction rates is very important in assessing the overall efficiency of the process, since it influences the biological reaction rates, mass-transfer rates and so on. In this study, an integrated approach of describing the effect of temperature on the substrate removal by the biomass, immobilized inside the porous matrix in a BFBR was attempted. Mathematical models, at steady state were developed for four different combinations, considering the distribution (Uniform and Linear) of biomass inside the support matrix and the order (Zero and First) of biological reaction rates. Steady state biofilm and a single rate limiting substrate were assumed. The developed models were tested with the reported data obtained from a lab-scale BFBR for various temperatures. It was found that the effluent water quality predicted by the models using first order rate kinetics fitted well with the observed data, showing positive correlation of 0.8891and0.8940 for Uniform and Linear first models respectively. Among them Linear-First model predicts better. The predicted removal efficiencies at various temperatures by these models were compared with those in suspended growth, activated sludge process, computed under similar environmental conditions using existing models/ process equations. It was found that the rate of nitrification or the effluent quality was less affected by the temperature change in immobilized process (BFBR) than in suspended growth, activated sludge process. It was also found that the external resistance to diffusion by the stagnant liquid layer is not significant in BFBR.
650		0	_aSewage _xPurification _xBiological treatment
650		0	_aNitrification
700	1		_aUmita, Teruyuki, _eChairperson
700	1		_aSchroder, Hans, _eExamination Committee
700	1		_aVisvanathan, C., _eExamination Committee
710	2		_aSwedish International Development Authority (SIDA) The Government of Sweden., _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. EV-94-12
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B15621
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902			_a240329
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