Practical identifiability of biokinetic parameters of a model describing two‐step nitrification in biofilms

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 O2/L. High linear dependences between the parameters of the subsets ${\rm (}K_{{\rm O}_{\rm 2} {\rm ,AOB}} {\rm ,}\,\mu _{{\rm AOB}} {\rm )}$ and ${\rm (}K_{{\rm O}_{\rm 2} {\rm ,NOB}} {\rm ,}\,\mu _{{\rm NOB}} {\rm )}$ 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., µAOB and $K_{{\rm O}_{\rm 2} {\rm ,AOB}} $, or µNOB and $K_{{\rm O}_{\rm 2} {\rm ,NOB}} $). The choice of the initial parameter values had a significant impact on the identifiability of two parameter subsets, both including the parameters µAOB and $K_{{\rm O}_{\rm 2} {\rm ,AOB}} $. Parameter subsets that did not include the subsets µAOB and $K_{{\rm O}_{\rm 2} {\rm ,AOB}} $ or µNOB and $K_{{\rm O}_{\rm 2} {\rm ,NOB}} $ were clearly identifiable independently of the choice of the initial parameter values. Biotechnol. Bioeng. 2008;101: 497–514. © 2008 Wiley Periodicals, Inc.

[1]  S Salem,et al.  Determination of the decay rate of nitrifying bacteria , 2006, Biotechnology and bioengineering.

[2]  E. Arvin,et al.  Modelling the growth of a methanotrophic biofilm: Estimation of parameters and variability , 1999, Biodegradation.

[3]  Michael J. Kurtz,et al.  Selection of model parameters for off-line parameter estimation , 2004, IEEE Transactions on Control Systems Technology.

[4]  Wei Zhang,et al.  Influence of detachment on substrate removal and microbial ecology in a heterotrophic/autotrophic biofilm. , 2007, Water research.

[5]  J Tramper,et al.  Dynamics of artificially immobilized Nitrosomonas europaea: Effect of biomass decay. , 1997, Biotechnology and bioengineering.

[6]  C. Breitholtz,et al.  Steady‐state solution of a two‐species biofilm problem , 1996, Biotechnology and bioengineering.

[7]  P. Vanrolleghem,et al.  Using parameter sensitivity analysis of the CANON biofilm process: What to measure, where to measure and under which conditions? , 2004 .

[8]  M. Gerardi Nitrification in the Activated Sludge Process , 2005 .

[9]  J Ribes,et al.  Parameter subset selection for the dynamic calibration of activated sludge models (ASMs): experience versus systems analysis. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[10]  J. A. Robinson,et al.  Nonlinear estimation of Monod growth kinetic parameters from a single substrate depletion curve , 1983, Applied and environmental microbiology.

[11]  Peter A. Vanrolleghem,et al.  Optimal design of in-sensor-experiments for on-line modelling of nitrogen removal processes , 1995 .

[12]  T. Wik On Modeling the Dynamics of Fixed Biofilm Reactors. With focus on nitrifying trickling filters , 1999 .

[13]  J. Prosser,et al.  Steady state and transient growth of autotrophic nitrifying bacteria , 1987, Archives of Microbiology.

[14]  Willi Gujer,et al.  Decay processes of nitrifying bacteria in biological wastewater treatment systems. , 2006, Water research.

[15]  R. Ahlert,et al.  Nitrification and nitrogen removal , 1977 .

[16]  Torsten Wik,et al.  Nitrification in a tertiary trickling filter at high hydraulic loads - pilot plant operation and mathematical modelling , 1995 .

[17]  J. Behrendt Modeling of aerated upflow fixed bed reactors for nitrification , 1999 .

[18]  Z. Lewandowski,et al.  Quantifying selected growth parameters of Leptothrix discophora SP-6 in biofilms from oxygen concentration profiles , 2003 .

[19]  G H Dibdin,et al.  Mathematical Modeling of Biofilms , 1997, Advances in dental research.

[20]  M. V. van Loosdrecht,et al.  Microbiology and application of the anaerobic ammonium oxidation ('anammox') process. , 2001, Current opinion in biotechnology.

[21]  J. S. Hunter,et al.  Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. , 1979 .

[22]  Zhiguo Yuan,et al.  Determination of Growth Rate and Yield of Nitrifying Bacteria by Measuring Carbon Dioxide Uptake Rate , 2007, Water environment research : a research publication of the Water Environment Federation.

[23]  Peter Reichert,et al.  Practical identifiability of ASM2d parameters--systematic selection and tuning of parameter subsets. , 2002, Water research.

[24]  Mogens Henze,et al.  Activated sludge models ASM1, ASM2, ASM2d and ASM3 , 2015 .

[25]  Hansruedi Siegrist,et al.  Mathematical modeling of autotrophic denitrification in a nitrifying biofilm of a rotating biological contactor , 2000 .

[26]  N. Bernet,et al.  Modeling and control of nitrite accumulation in a nitrifying biofilm reactor , 2005 .

[27]  Javier Lafuente,et al.  Respirometric calibration and validation of a biological nitrite oxidation model including biomass growth and substrate inhibition. , 2005, Water research.

[28]  Mark C M van Loosdrecht,et al.  Sensitivity analysis of a biofilm model describing a one-stage completely autotrophic nitrogen removal (CANON) process. , 2002, Biotechnology and bioengineering.

[29]  Stefan Weijers,et al.  A procedure for selecting best identifiable parameters in calibrating activated sludge model no. 1 to full-scale plant data , 1997 .

[30]  J. J. Heijnen,et al.  Modelling the effect of oxygen concentration on nitrite accumulation in a biofilm airlift suspension reactor , 1997 .

[31]  Smets,et al.  Respirometric assay for biofilm kinetics estimation: parameter identifiability and retrievability , 1998, Biotechnology and bioengineering.

[32]  M. V. van Loosdrecht,et al.  Comparing biofilm models for a single species biofilm system. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[33]  U Wiesmann,et al.  Biological nitrogen removal from wastewater. , 1994, Advances in biochemical engineering/biotechnology.

[34]  M. Henze,et al.  Wastewater Treatment: Biological and Chemical Processes , 1995 .

[35]  Joseph A. C. Delaney Sensitivity analysis , 2018, The African Continental Free Trade Area: Economic and Distributional Effects.

[36]  Peter Reichert,et al.  On the usefulness of overparameterized ecological models , 1997 .

[37]  H. Künsch,et al.  Practical identifiability analysis of large environmental simulation models , 2001 .

[38]  O. Monroy,et al.  Experimental and theoretical study of membrane-aerated biofilm reactor behavior under different modes of oxygen supply for the treatment of synthetic wastewater , 2006 .

[39]  Dimitrios V. Vayenas,et al.  Development of a dynamic model describing nitritification and nitratification in trickling filters , 1997 .

[40]  P. Reichert,et al.  Biogeochemical model of Lake Zürich : sensitivity, identifiability and uncertainty analysis , 2001 .

[41]  B. Smets,et al.  Kinetic analysis of simultaneous 2,4-dinitrotoluene (DNT) and 2, 6-DNT biodegradation in an aerobic fluidized-bed biofilm reactor. , 1999, Biotechnology and bioengineering.

[42]  S. Okabe,et al.  Ecophysiological Interaction between Nitrifying Bacteria and Heterotrophic Bacteria in Autotrophic Nitrifying Biofilms as Determined by Microautoradiography-Fluorescence In Situ Hybridization , 2004, Applied and Environmental Microbiology.

[43]  P. Reichert AQUASIM-a tool for simulation and data analysis of aquatic systems , 1994 .

[44]  Johannes Tramper,et al.  A strategy to scale up nitrification processes with immobilized cells of nitrosomonas europaea and nitrobacter agilis , 1994 .

[45]  P. Rousseeuw,et al.  Wiley Series in Probability and Mathematical Statistics , 2005 .

[46]  D. Stahl,et al.  Influence of substrate C/N ratio on the structure of multi-species biofilms consisting of nitrifiers and heterotrophs , 1995 .

[47]  Eberhard Morgenroth,et al.  Biofilm models for the practitioner , 2000 .

[48]  A. Holmberg On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearities , 1982 .

[49]  A. Hippen,et al.  Single stage biological nitrogen removal by nitritation and anaerobic ammonium oxidation in biofilm systems. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[50]  Matthias Reuss,et al.  Optimal Experimental Design for Parameter Estimation in Unstructured Growth Models , 1994 .

[51]  Willi Gujer,et al.  Effects of transient nutrient concentrations in tertiary biofilm reactors , 1997 .

[52]  Peter A. Vanrolleghem,et al.  Practical Identifiability of a Biokinetic Model of Activated-sludge Respiration , 1995 .

[53]  A. Hippen,et al.  Six years' practical experience with aerobic/anoxic deammonification in biofilm systems. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[54]  E Ayesa,et al.  Numerical and graphical description of the information matrix in calibration experiments for state-space models. , 2001, Water research.

[55]  R. Chamy,et al.  Nitrifying activity monitoring and kinetic parameters determination in a biofilm airlift reactor by respirometry , 2002, Biotechnology Letters.