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Practical identifiability of biokinetic parameters of a model describing two-step nitrification in biofilms
Authors:Brockmann D  Rosenwinkel K-H  Morgenroth E
Institution:1. Institute for Water Quality and Waste Management, Leibniz Universit?t Hannover, Hanover, Germany;2. Department of Civil and Environmental Engineering, University of Illinois at Urbana‐Champaign, 3219 Newmark Civil Engineering Laboratory, MC‐250, 205 North Mathews Avenue, Urbana, Illinois 61801;3. Department of Animal Sciences, University of Illinois at Urbana‐Champaign, Urbana, Illinois 61801
Abstract:Parameter estimation and model calibration are key problems in the application of biofilm models in engineering practice, where a large number of model parameters need to be determined usually based on experimental data with only limited information content. In this article, identifiability of biokinetic parameters of a biofilm model describing two-step nitrification was evaluated based solely on bulk phase measurements of ammonium, nitrite, and nitrate. In addition to evaluating the impact of experimental conditions and available measurements, the influence of mass transport limitation within the biofilm and the initial parameter values on identifiability of biokinetic parameters was evaluated. Selection of parameters for identifiability analysis was based on global mean sensitivities while parameter identifiability was analyzed using local sensitivity functions. At most, four of the six most sensitive biokinetic parameters were identifiable from results of batch experiments at bulk phase dissolved oxygen concentrations of 0.8 or 5 mg O(2)/L. High linear dependences between the parameters of the subsets (KO2,AOB,muAOB) and (KO2,NOB,muNOB) resulted in reduced identifiability. Mass transport limitation within the biofilm did not influence the number of identifiable parameters but, in fact, decreased collinearity between parameters, especially for parameters that are otherwise correlated (e.g., muAOB) and KO2,AOB, or muNOB and KO2,NOB). The choice of the initial parameter values had a significant impact on the identifiability of two parameter subsets, both including the parameters muAOB and KO2,AOB. Parameter subsets that did not include the subsets muAOB and KO2,AOB or muNOB and KO2,NOB were clearly identifiable independently of the choice of the initial parameter values.
Keywords:biofilm  experimental design  identifiability analysis  modeling  nitrification  sensitivity analysis
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