Variance-based sensitivity analysis for wastewater treatment plant modelling

Science of the Total Environment

Volumn 470-471, Issue , 2014, Pages 1068-1077

  Cosenza, Alida ^a   Mannina, Giorgio ^a   Vanrolleghem, Peter A ^b   Neumann, Marc B ^b,c,d  

^a UNIVERSITY OF PALERMO   (Italy)

^b UNIVERSITÉ LAVAL   (Canada)

^c BASQUE CENTRE FOR CLIMATE CHANGE BC3   (Spain)

^d BASQUE FOUNDATION FOR SCIENCE   (Spain)

Author keywords

Extended FAST; Global sensitivity analysis; MBR modelling; Wastewater treatment

Indexed keywords

ACTIVATED SLUDGE PROCESS; BIOREACTORS; MATHEMATICAL MODELS; WASTEWATER TREATMENT;

CONVENTIONAL ACTIVATED SLUDGES; DIFFERENT OPERATING CONDITIONS; EXTENDED FASTS; GLOBAL SENSITIVITY ANALYSIS; MEMBRANE BIO REACTOR (MBR); VARIANCE-BASED METHODS; VARIANCE-BASED SENSITIVITY ANALYSIS; WASTEWATER TREATMENT PLANTS;

SENSITIVITY ANALYSIS;

AMMONIA; NITRATE; PHOSPHORUS;

BIOREACTOR; EXPERIMENTAL STUDY; MEMBRANE; NUMERICAL MODEL; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SEWAGE TREATMENT; WASTEWATER;

ACTIVATED SLUDGE; ACTIVATED SLUDGE MODEL; ARTICLE; BIOMASS; BIOREACTOR; EXTENDED FOURIER AMPLITUDE SENSITIVITY TESTING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEMBRANE BIOREACTOR; NITRIFICATION; NONBIOLOGICAL MODEL; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SENSITIVITY ANALYSIS; VARIANCE; WASTE WATER TREATMENT PLANT;

EXTENDED-FAST; GLOBAL SENSITIVITY ANALYSIS; MBR MODELLING; WASTEWATER TREATMENT;

MODELS, THEORETICAL; SEWAGE; WASTE DISPOSAL, FLUID; WASTE WATER;

EID: 84887574171     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2013.10.069     Document Type: Article

References (47)

1. APHA WEF Standard methods for the examination of water and wastewater 1998, American Public Health Association/American Water Works Association/Water Environment Federation, Washington, DC, USA. 20th ed.
2. Benedetti L., Claeys F., Nopens I., Vanrolleghem P.A. Assessing the convergence of LHS Monte Carlo simulations of wastewater treatment models. Water Sci Technol 2011, 63(10):2219-2224.
3. Benedetti L., Batstone D.J., De Baets B., Nopens I., Vanrolleghem P.A. Uncertainty analysis of WWTP control strategies made feasible. Water Qual Res J Can 2012, 47(1):14-29.
4. Brockmann D., Morgenroth E. Comparing global sensitivity analysis for a biofilm model for two-step nitrification using the qualitative screening method of Morris or the quantitative variance-based Fourier Amplitude Sensitivity Test (FAST). Water Sci Technol 2007, 56(8):85-93.
5. Brun R., Kühni M., Siegrist H., Gujer W., Reichert P. Practical identifiability of ASM2d parameters: systematic selection and tuning of parameter subsets. Water Res 2002, 36:4113-4127.
6. Campolongo F., Cariboni J., Saltelli A. An effective screening design for sensitivity analysis of large models. Environ Model Software 2007, 22(10):1509-1518.
7. Chen L., Tian Y., Cao C., Zhang S., Zhang S. Sensitivity and uncertainty analyses of an extended ASM3-SMP model describing membrane bioreactor operation. J Membr Sci 2012, 389:99-109.
8. Corominas L., Flores-Alsina X., Snip L., Vanrolleghem P.A. Comparison of different modeling approaches to better evaluate greenhouse gas emissions from whole wastewater treatment plants. Biotechnol Bioeng 2012, 109(11):2854-2863.
9. Cosenza A., Mannina G., Neumann M.B., Viviani G., Vanrolleghem P.A. Biological nitrogen and phosphorus removal in membrane bioreactors: model development and parameter estimation. Bioprocess Biosyst Eng 2013, 36(4):499-514.
10. Cosenza A., Di Bella G., Mannina G., Torregrossa M., Viviani G. Biological nutrient removal and fouling phenomena in a University Cape Town Membrane Bioreactor treating high nitrogen loads. J Environ Eng ASCE 2013, 139(6):773-780.
11. Cosenza A., Mannina G., Vanrolleghem P.A., Neumann M.B. Global sensitivity analysis in wastewater applications: a comprehensive comparison of different methods. Environ Model Software 2013, 49:50-52.
12. Cosenza A., Di Bella G., Mannina G., Torregrossa M. The role of EPS in fouling and foaming phenomena for a membrane bioreactor. Bioresour Technol 2013, 147:184-192.
13. Cukier R.I., Fortuin C.M., Shuler K.E., Petschek A.G., Schaibly J.H. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory. J Chem Phys 1973, 59(8):3873-3878.
14. Di Bella G., Mannina G., Viviani G. An integrated model for physical-biological wastewater organic removal in a submerged membrane bioreactor: model development and parameter estimation. J Membr Sci 2008, 322(1):1-12.
15. Di Trapani D., Capodici M., Cosenza A., Di Bella G., Mannina G., Torregrossa M., et al. Evaluation of biomass activity and wastewater characterization in a UCT-MBR pilot plant by means of respirometric techniques. Desalination 2011, 269:190-197.
16. Fenu A., Guglielmi G., Jimenez J., Spèrandio M., Saroj D., Lesjean B., et al. Activated sludge model (ASM) based modelling of membrane bioreactor (MBR) processes: a critical review with special regard to MBR specificities. Water Res 2010, 44(15):4272-4294.
17. Flores-Alsina X., Corominas Ll, Neumann M.B., Vanrolleghem P.A. Assessing the use of activated sludge process design guidelines in wastewater treatment plant projects: a methodology based on global sensitivity analysis. Environ Model Software 2012, 38:50-58.
18. Freni G., Mannina G. Bayesian approach for uncertainty quantification in water quality modelling: the influence of prior distribution. J Hydrol 2010, 392:31-39.
19. Hauduc H., Rieger L., Ohtsuki T., Shaw A., Takàcs I., Winkler S., et al. Activated sludge modelling: development and potential use of a practical applications database. Water Sci Technol 2011, 63(10):2164-2182.
20. Henze M., Gujer W., Mino T., van Loosdrecht M. Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA Task Group on Mathematical Modelling for Design and Operation of Biological Wastewater Treatment 2000, IWA Publishing, London, UK.
21. Innocenti V. Modello di depurazione biologica secondo lo standard ASM3 con doppio step di nitrificazione 2005, (Degree thesis), Universita' degli Studi di Firenze, Italy, [in Italian].
22. Jeppsson U. Modelling aspect of wastewater treatment process 1996, [PhD thesis], Department of Industrial Electrical Engineering and Automation (IEA), Lund Institute of Technology (LTH), Sweden.
23. Jiang T., Myngheer S., De Pauw D.J.W., Spanjers H., Nopens I., Kennedy M.D., et al. Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR). Water Res 2008, 42(20):4955-4964.
24. Mannina G., Cosenza A. The fouling phenomenon in membrane bioreactors: assessment of different strategies for energy saving. J Membr Sci 2013, 444:332-344.
25. Mannina G., Viviani G. Separate and combined sewer systems: a long-term modelling approach. Water Sci Technol 2009, 60(3):555-565.
26. Mannina G., Viviani G. Hybrid moving bed biofilm reactors: an effective solution for upgrading a large wastewater treatment plant. Water Sci Technol 2009, 60(5):1103-1116.
27. Mannina G., Cosenza A., Vanrolleghem P.A., Viviani G. A practical protocol for calibration of nutrient removal wastewater treatment models. J Hydroinformatics 2011, 13(4):575-595.
28. Mannina G., Di Bella G., Viviani G. An integrated model for biological and physical process simulation in membrane bioreactors (MBRs). J Membr Sci 2011, 376:56-69.
29. Meng F., Chae S.R., Drews A., Kraume M., Shin H.S., Yang F. Recent advances in membrane bioreactors (MBRs): membrane fouling and membrane material. Water Res 2009, 43:1489-1512.
30. Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 1991, 33(2):161-174.
31. Neumann M.B. Comparison of sensitivity analysis techniques for modelling micropollutant oxidation in water treatment. Sci Total Environ 2012, 433(1):530-537.
32. Neumann M.B., von Gunten U., Gujer W. Uncertainty in prediction of disinfection performance. Water Res 2007, 41:2371-2378.
33. Neumann M.B., Gujer W., von Gunten U. Global sensitivity analysis for model-based prediction of oxidative micropollutant transformation during drinking water treatment. Water Res 2009, 43:997-1004.
34. Pujol G. Sensitivity: sensitivity analysis. R package version 1.3-0 2007.
35. R Development Core Team R: a language and environment for statistical computing 2007.
36. Rieger L., Koch G., Kühni M., Gujer W., Siegrist H. The EAWAG Bio-P module for activated sludge model No. 3. Water Res 2001, 35(16):3887-3903.
37. Ruano M.V., Ribes J., Ferrer J., Sin G. Application of the Morris method for screening the influential parameters of fuzzy controllers applied to wastewater treatment plants. Water Sci Technol 2011, 63(10):2199-2206.
38. Saltelli A., Tarantola S., Chan K.P.S. A quantitative model-independent method for global sensitivity analysis of model output. Technometrics 1999, 41(1):39-56. [426].
39. Saltelli A., Tarantola S., Campolongo F., Ratto M. Sensitivity analysis in practice. A guide to assessing scientific models. Probability and Statistics Series 2004, John Wiley & Sons Publishers.
40. Saltelli A., Ratto M., Tarantola S., Campolongo F. Sensitivity analysis for chemical models. Chem Rev 2005, 105:2811-2827.
41. Saltelli A., Ratto M., Andres T., Campolongo F., Cariboni J., Gatelli D., et al. Global sensitivity analysis. The primer 2008, John Wiley & Sons Ltd., The Atrium, Southern Gate, Chichester.
42. Schaibly J.H., Shuler K.E. Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. II applications. J Chem Phys 1973, 59(8):3879-3888.
43. Sin G., Gernaey K.V., Neumann M.B., van Loosdrecht M.C.M., Gujer W. Uncertainty analysis in WWTP model applications: a critical discussion using an example from design. Water Res 2009, 43(11):2894-2906.
44. Sin G., Gernaey K.V., Neumann M.B., van Loosdrecht M., Gujer W. Global sensitivity analysis in wastewater treatment plant model applications: prioritizing sources of uncertainty. Water Res 2011, 45:639-651.
45. Sobol I.M. Sensitivity analysis for non-linear mathematical models. Math Model Comput Exp 1993, 1:407-414.
46. Weijers S.R., Vanrolleghem P.A. A procedure for selecting best identifiable parameters in calibrating activated sludge model No. 1 to full-scale plant data. Water Sci Technol 1997, 36(5):69-79.
47. Zuthi M.F.R., Guo W.S., Ngo H.H., Nghiem L., Hai F.I. Enhanced biological phosphorus removal and its modelling for the activated sludge and membrane bioreactor processes. Bioresour Technol 2013, 139:363-374.