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 Science and Technology

Volumn 56, Issue 8, 2007, Pages 85-93

  Brockmann, D ^a   Morgenroth, E ^a,b  

^a United States of America   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Biofilm model; Global sensitivity analysis; Nitrification; Screening method; Variance based method; Wastewater treatment

Indexed keywords

BIOFILMS; BIOREACTORS; MASS TRANSFER; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; STOICHIOMETRY;

FOURIER AMPLITUDE SENSITIVITY TEST (FAST); GLOBAL SENSITIVITY ANALYSIS; SCREENING METHOD; VARIANCE-BASED METHOD;

NITRIFICATION;

AMMONIA; NITRATE; NITRITE; OXYGEN;

BIOFILMS; BIOREACTORS; MASS TRANSFER; MATHEMATICAL MODELS; NITRIFICATION; SENSITIVITY ANALYSIS; STOICHIOMETRY;

BIOFILM; MODELING; NITRIFICATION; SENSITIVITY ANALYSIS; WASTEWATER; WATER TREATMENT;

ARTICLE; BIOFILM REACTOR; BIOMASS DISTRIBUTION; DIFFUSION COEFFICIENT; FLOW RATE; INTERMETHOD COMPARISON; NITRIFICATION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SCREENING; SENSITIVITY ANALYSIS; SIMULATION; WASTE WATER MANAGEMENT;

BIOFILMS; BIOREACTORS; MODELS, THEORETICAL; NITRITES; SENSITIVITY AND SPECIFICITY; WASTE DISPOSAL, FLUID; WATER POLLUTANTS, CHEMICAL;

EID: 37249084726     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2007.600     Document Type: Article

References (20)

1. Arcangeli, J.P. and Arvin, E. (1997). Modelling of the growth of a methanotrophic biofilm. Water Sci. Technol., 36(1), 199-204.
2. Brockmann, D. (2006). Modelling Nitrification and Deammonification in Biofilms: Sensitivity Analysis Identifiability Analysis and Design of Experiments. Dissertation. Veröffentlichungen des Institutes für Siedlungswasserwirtschaft und Abfalltechnik der Universität Hannover. 135.
3. Brun, R., Kühni, M., Siegrist, H., Gujer, W. and Reichert, P. (2002). Practical identifiability of ASM2d parameters - systematic selection and tuning of parameter subsets. Water Res., 36(16), 4113 -4127.
4. Campolongo, F. and Saltelli, A. (1997). Sensitivity analysis of an environmental model and application of different analysis methods. Reliability Eng. Syst. Safety, 57(1), 49-69.
5. Campolongo, F., Tarantola, S. and Saltelli, A. (1999). Tackling quantitatively large dimensionality problems. Comput Phys. Commun., 117(1-2), 75-85.
6. Chan, K., Tarantola, S. and Saltelli, A. (2000). Variance-based methods. In: Sensitivity Analysis, Saltelli, A., Chan, K. and Scott, E.M. (eds), John Wiley & Sons Ltd, Chichester, UK, pp. 167-197.
7. Cukier, R.I., Fortuin, C.M., Shuler, K.E., Petschek, A.G. and Schaibly, J.H. (1973). Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory. J. Chem. Phys., 59(8), 3873-3878.
8. Cukier, R.I., Schaibly, J.H. and Shuler, K.E. (1975). Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. III. Analysis of the approximations. J. Chem. Phys., 63(3), 1140-1149.
9. European Commission, and IPSC (2004). SimLab 2.2-Reference Manual. Ispra, Italy.
10. Francos, A., Elorza, F.J., Bouraoui, F., Bidoglio, G. and Galbiati, L. (2003). Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale. Reliability Eng. Syst. Safety, 79(2), 205-218.
11. Hao, X., Heijnen, J.J. and van Loosdrecht, M.C.M. (2002). Sensitivity Analysis of a biofilm model describing a one-stage completely autotrophic nitrogen removal (CANON) process. Biotechnol. Bioeng., 77(3), 266-277.
12. Helton, J.C. and Davis, F.J. (2000). Sampling-based methods. In: Sensitivity Analysis, Saltelli, A., Chan, K. and Scott, E.M. (eds), John Wiley & Sons Ltd, pp. 101-153.
13. Makinia, J. and Wells, S.A. (2000). A general model of the activated sludge reactor with dispersive flow - II. Model verification and application. Water Res., 34(16), 3997-4006.
14. Morris, M.D. (1991). Factorial sampling plans for preliminary computational experiments. Technometrics, 33(2), 161-174.
15. Reichert, P. (1994). Aquasim - a tool for simulation and data-analysis of aquatic systems. Water Sci. Technol., 30(2), 21-30.
16. Saltelli, A., Chan, K. and Scott, E.M. (eds) (2000). Sensitivity Analysis, Wiley Series in Probability and Statistics, John Wiley & Sons Ltd.
17. Saltelli, A., Tarantola, S., Campolongo, F. and Ratto, M. (eds) (2004). Sensitivity Analysis in Practice - A Guide to Assessing Scientific Models. John Wiley & Sons Ltd.
18. Saltelli, A., Tarantola, S. and Chan, K.P.S. (1999). A quantitative, model-independent method for global sensitivity analysis of model output. Technometrics, 41(1), 39-56.
19. Schaibly, J.H. and Shuler, K.E. (1973). Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. II Applications. J. Chem. Phys., 59(8), 3879-3888.
20. Sobol', I.M. (1993). Sensitivity analysis for non-linear mathematical models. Math. Modelling Comput. Exp., 1,407-414.