Sensitivity and uncertainty analysis of an integrated membrane bioreactor model

References

• S.J. Judd and C. Judd, Principles and Applications of Membrane Bioreactors in Water and Wastewater Treatment, second ed., Elsevier, London, 2010.
   Google Scholar
• M. Henze, W. Gujer, T. Mino and M.C.M. van Loosdrecht, Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA Task Group on Mathematical Modelling for Design and Operation of Biological Wastewater treatment, IWA, London, 2000.
   Google Scholar
• A. Fenu, G. Guglielmi, J. Jimenez, M. Spèrandio, D. Saroj, B. Lesjean, C. Brepols, C. Thoeye, I. Nopens, Activated sludge model (ASM) based modelling of membrane bioreactor (MBR) processes: A critical review with special regard to MBR specificities, Water Res. 44(15) (2010) 4272–4294.10.1016/j.watres.2010.06.007
   PubMed Web of Science ®Google Scholar
• G. Mannina, A. Cosenza, P.A. Vanrolleghem, G. Viviani, A practical protocol for calibration of nutrient removal wastewater treatment models, J. Hydroinform. 13(4) (2011) 575–595.10.2166/hydro.2011.041
   Web of Science ®Google Scholar
• Z. Ahmed, J. Cho, B.R. Lim, K.G. Song, K.H. Ahn, Effects of sludge retention time on membrane fouling and microbial community structure in a membrane bioreactor, J. Membr. Sci. 287 (2007) 211–218.10.1016/j.memsci.2006.10.036
   Web of Science ®Google Scholar
• W. Naessens, T. Maere, I. Nopens, Critical review of membrane bioreactor models—Part 1: Biokinetic and filtration models, Bioresour. Technol. 122 (2012) 95–106.10.1016/j.biortech.2012.05.070
   PubMed Web of Science ®Google Scholar
• M.F.R. Zuthi, W.S. Guo, H.H. Ngo, L. Nghiem, F.I. Hai, Enhanced biological phosphorus removal and its modeling for the activated sludge and membrane bioreactor processes, Bioresour. Technol. 139 (2013) 363–374.10.1016/j.biortech.2013.04.038
   PubMed Web of Science ®Google Scholar
• A. Zarragoitia-González, S. Schetrite, M. Alliet, U. Jáuregui-Haza, C. Albasi, Modelling of submerged membrane bioreactor: Conceptual study about link between activated slugde biokinetics, aeration and fouling process, J. Membr. Sci. 325 (2008) 612–624.10.1016/j.memsci.2008.08.037
   Web of Science ®Google Scholar
• L. Chen, Y. Tian, C. Cao, S. Zhang, S. Zhang, Sensitivity and uncertainty analyses of an extended ASM3-SMP model describing membrane bioreactor operation, J. Membr. Sci. 389 (2012) 99–109.10.1016/j.memsci.2011.10.020
   Web of Science ®Google Scholar
• A. Cosenza, G. Mannina, M.B. Neumann, G. Viviani, P.A. Vanrolleghem, Biological nitrogen and phosphorus removal in membrane bioreactors: Model development and parameter estimation, Bioproc. Biosyst. Eng. 36(4) (2013) 499–514.10.1007/s00449-012-0806-1
   PubMed Web of Science ®Google Scholar
• A. Cosenza, G. Mannina, P.A. Vanrolleghem, M.B. Neumann, Variance-based sensitivity analysis for wastewater treatment plant modelling, Sci. Tot. Environ. 470–471 (2014) 1068–1077.10.1016/j.scitotenv.2013.10.069
   PubMed Web of Science ®Google Scholar
• G. Mannina, G. Viviani, Hybrid moving bed biofilm reactors: An effective solution for upgrading a large wastewater treatment plant, Water Sci. Technol. 60(5) (2009) 1103–1116.10.2166/wst.2009.416
   PubMed Web of Science ®Google Scholar
• G. Mannina, G. Viviani, Separate and combined sewer systems: A long-term modelling approach, Water Sci. Technol. 60(3) (2009) 555–565.10.2166/wst.2009.376
   PubMed Web of Science ®Google Scholar
• A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, S. Tarantola, Global Sensitivity Analysis, The Primer, John Wiley, Chichester, 2008.
   Google Scholar
• E. Belia, Y. Amerlinck, L. Benedetti, G. Sin, B. Johnson, P.A. Vanrolleghem, K.V. Gernaey, S. Gillot, M.B. Neumann, L. Rieger, A. Shaw, K. Villez, Wastewater treatment modelling: Dealing with uncertainties, Water Sci. Technol. 60(8) (2009) 1929–1941.10.2166/wst.2009.225
   PubMed Web of Science ®Google Scholar
• H. Yuan, G. Sin, Uncertainty and sensitivity analysis of filtration models for non-Fickian transport and hyperexponential deposition, Chem. Eng. J. 168(2) (2011) 635–648.10.1016/j.cej.2011.01.051
   Web of Science ®Google Scholar
• A. Robles, M.V. Ruano, J. Ribes, A. Seco, J. Ferrer, Global sensitivity analysis of a filtration model for submerged anaerobic membrane bioreactors (AnMBR), Bioresour. Technol. 158 (2014) 365–373.10.1016/j.biortech.2014.02.087
   PubMed Web of Science ®Google Scholar
• X. Flores-Alsina, I. Rodriguez-Roda, G. Sin, K.V. Gernaey, Uncertainty and sensitivity analysis of control strategies using the benchmark simulation model no. 1 (BSM1), Water Sci. Technol. 59(3) (2009) 491–499.10.2166/wst.2009.871
   PubMed Web of Science ®Google Scholar
• G. Sin, K.V. Gernaey, M.B. Neumann, M. van Loosdrecht, W. Gujer, Global sensitivity analysis in wastewater treatment plant model applications: Prioritizing sources of uncertainty, Water Res. 45 (2011) 639–651.10.1016/j.watres.2010.08.025
   PubMed Web of Science ®Google Scholar
• K.J. Beven, A.M. Binley, The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process. 6(3) (1992) 279–298.10.1002/(ISSN)1099-1085
   Web of Science ®Google Scholar
• G. Mannina, Uncertainty assessment of a water quality model for ephemeral rivers using GLUE analysis, J. Environ. Eng. ASCE 137(3) (2011) 177–186.
   Web of Science ®Google Scholar
• M. Ratto, S. Tarantola, A. Saltelli, Sensitivity analysis in model calibration GSA-GLUE approach, Comput. Phys. Commun. 136 (2001) 212–224.10.1016/S0010-4655(01)00159-X
   Web of Science ®Google Scholar
• L. Vezzaro, P.S. Mikkelsen, Application of global sensitivity analysis and uncertainty quantification in dynamic modelling of micropollutants in stormwater runoff, Environ. Modell. Softw. 27–28 (2012) 40–51.10.1016/j.envsoft.2011.09.012
   Web of Science ®Google Scholar
• T. Jiang, S. Myngheer, D.J.W. De Pauw, H. Spanjers, I. Nopens, M.D. Kennedy, G. Amy, P.A. Vanrolleghem, Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR), Water Res. 42(20) (2008) 4955–4964.10.1016/j.watres.2008.09.037
   PubMed Web of Science ®Google Scholar
• C. Lubello, S. Caffaz, R. Gori, G. Munz, A modified activated sludge model to estimate solids production at low and high solids retention time, Water Res. 43(18) (2009) 4539–4548.10.1016/j.watres.2009.08.001
   PubMed Web of Science ®Google Scholar
• X.Y. Li, X.M. Wang, Modelling of membrane fouling in a submerged membrane bioreactor, J. Membr. Sci. 278 (2006) 151–161.10.1016/j.memsci.2005.10.051
   Web of Science ®Google Scholar
• APHA, AWWA, WEF, Standard Methods for the Examination of Water and Wastewater, Twentieth ed., American Public Health Association/American Water Works Association/Water Environment Federation, Washington, DC, 1998.
   Google Scholar
• G. Freni, G. Mannina, G. Viviani, Uncertainty in urban stormwater quality modelling: The effect of acceptability threshold in the GLUE methodology, Water Res. 42 (2008) 2061–2072.10.1016/j.watres.2007.12.014
   PubMed Web of Science ®Google Scholar
• L.R. Iman, W.J. Conover, A distribution-free approach to inducing rank correlation among input variables, Commun. Statist. Simula. Computa. 11 (1982) 311–334.10.1080/03610918208812265
   Web of Science ®Google Scholar
• X. Jin, C.-Y. Xu, Q. Zhang, V.P. Singh, Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model, J. Hydrol. 383 (2010) 147–155.10.1016/j.jhydrol.2009.12.028
   Web of Science ®Google Scholar
• G. Mannina, G. Di Bella, G. Viviani, An integrated model for biological and physical process simulation in membrane bioreactors (MBRs), J. Membrane Sci. 376 (2011) 56–69.10.1016/j.memsci.2011.04.003
   Web of Science ®Google Scholar
• G. Mannina, G. Di Bella, Comparing two start-up strategies for MBRs: Experimental study and mathematical modelling, Biochem. Eng. J. 68 (2012) 91–103.10.1016/j.bej.2012.07.011
   Web of Science ®Google Scholar
• R. Brun, M. Kühni, H. Siegrist, W. Gujer, P. Reichert, Practical identifiability of ASM2d parameters—systematic selection and tuning of parameter subsets, Water Res. 36(16) (2002) 4113–4127.10.1016/S0043-1354(02)00104-5
   PubMed Web of Science ®Google Scholar
• A. Cosenza, G. Mannina, P.A. Vanrolleghem, M.B. Neumann, Global sensitivity analysis in wastewater applications: A comprehensive comparison of different methods, Environ. Modell. Softw. 49 (2013) 40–52.10.1016/j.envsoft.2013.07.009
   Web of Science ®Google Scholar
• H. Hauduc, L. Rieger, T. Ohtsuki, A. Shaw, I. Takàcs, S. Winkler, A. Héduit, P.A. Vanrolleghem, S. Gillot, Activated sludge modelling: Development and potential use of a practical applications database, Water Sci. Technol. 63(10) (2011) 2164–2182.10.2166/wst.2011.368
   PubMed Web of Science ®Google Scholar
• S.R. Weijers, P.A. Vanrolleghem, A procedure for selecting best identifiable parameters in calibrating activated sludge model no.1 to full-scale plant data, Water Sci. Technol. 36(5) (1997) 69–79.10.1016/S0273-1223(97)00463-0
   Web of Science ®Google Scholar
• S. Kang, W. Lee, S. Chae, H. Shin, Positive roles of biofilm during the operation of membrane bioreactor for water reuse, Desalination 202(1–3) (2007) 129–134.10.1016/j.desal.2005.12.048
   Web of Science ®Google Scholar
• S.T.F.C. Mortier, S. Van Hoey, K. Cierkens, K.V. Gernaey, P. Seuntjens, B. De Baets, T. De Beer, I. Nopens, A GLUE uncertainty analysis of a drying model of pharmaceutical granules, Eur. J. Pharm. Biopharm. 85(3) (2013) 984–995.10.1016/j.ejpb.2013.03.012
   PubMed Web of Science ®Google Scholar
• G.A. Ekama, M.C. Wentzel, Denitrification kinetics in biological n and p removal activated sludge systems treating municipal wastewaters, Water Sci. Technol. 39(6) (1999) 69–77.10.1016/S0273-1223(99)00124-9
   Web of Science ®Google Scholar