Parameter estimation for nitrification data
Call Number: AIT RSPR no. EV-84-7 Material type:
TextSeries: Asian Institute of Technology. Research studies project report ; no. EV-84-7Publication details: Bangkok : Asian Institute of Technology, 1984Description: 1 v. (various pagings)Subject(s): Online resources: Dissertation note: Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1984 Summary: A dynamic model of nitrification including bacterial growth equations , substrates-bateria concentrations relations and nitrogen mass balance is developed considering (1 ) no inhibitory effect , (2) with non-competitive inhibition effect and (3) with competitive inhibition effect. There are fourteen parameters to be tested f or sensitivity and five variables used to determine t he specific condition. Sensitivity analysis cased on the specified condition was revealed a nd the maxi mum specific growth rate of ammonia oxidizing bateria was determined as the most sensitive parameter out of fourteen parameters. The specified conditions were arbitrarily chosen and the sensitive parameters depending upon the specific conditions are presented in tables and graphs.
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A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development
Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1984
A dynamic model of nitrification including bacterial growth equations , substrates-bateria concentrations relations and nitrogen mass balance is developed considering (1 ) no inhibitory effect , (2) with non-competitive inhibition effect and (3) with competitive inhibition effect. There are fourteen parameters to be tested f or sensitivity and five variables used to determine t he specific condition. Sensitivity analysis cased on the specified condition was revealed a nd the maxi mum specific growth rate of ammonia oxidizing bateria was determined as the most sensitive parameter out of fourteen parameters. The specified conditions were arbitrarily chosen and the sensitive parameters depending upon the specific conditions are presented in tables and graphs.
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