Evaluation of the information content of long-term wastewater characteristics data in relation to activated sludge model parameters.
A parameter estimation framework was used to evaluate the ability of observed data from a full-scale nitrification-denitrification bioreactor to reduce the uncertainty associated with the bio-kinetic and stoichiometric parameters of an activated sludge model (ASM). Samples collected over a period of 150 days from the effluent as well as from the reactor tanks were used. A hybrid genetic algorithm and Bayesian inference were used to perform deterministic and parameter estimations, respectively. The main goal was to assess the ability of the data to obtain reliable parameter estimates for a modified version of the ASM. The modified ASM model includes methylotrophic processes which play the main role in methanol-fed denitrification. Sensitivity analysis was also used to explain the ability of the data to provide information about each of the parameters. The results showed that the uncertainty in the estimates of the most sensitive parameters (including growth rate, decay rate, and yield coefficients) decreased with respect to the prior information.
Department of Civil Engineering, The Catholic University of America, 630 Michigan Ave NE, Washington, DC 20064, USA E-mail: massoudieh@cua.edu.
Jamal
J
Alikhani
Dynamita, 7 Eoupe, Nyons 26110, France.
Imre
I
Takacs
DC Water and Sewer Authority, 5000 Overlook Avenue SW, Washington, DC 20032, USA.
Ahmed
A
Al-Omari
DC Water and Sewer Authority, 5000 Overlook Avenue SW, Washington, DC 20032, USA.
Sudhir
S
Murthy
Department of Civil Engineering, The Catholic University of America, 630 Michigan Ave NE, Washington, DC 20064, USA E-mail: massoudieh@cua.edu.
Arash
A
Massoudieh
D001499:Bayes Theorem; D001673:Biodegradation, Environmental; D019149:Bioreactors; D016001:Confidence Intervals; D058440:Denitrification; D019277:Entropy; D007700:Kinetics; D008390:Markov Chains; D008962:Models, Theoretical; D009010:Monte Carlo Method; D058465:Nitrification; D009584:Nitrogen / Q000302:isolation & purification; D012722:Sewage / Q000737:chemistry*; D014865:Waste Disposal, Fluid / Q000379:methods; D062065:Wastewater / Q000737:chemistry*
D009584:Nitrogen; D012722:Sewage; D062065:Wastewater