Global sensitivity analysis of the BSM2 dynamic influent disturbance scenario generator

Water Science and Technology

Volumn 65, Issue 11, 2012, Pages 1912-1922

  Flores Alsina, Xavier ^a   Gernaey, Krist V ^b   Jeppsson, Ulf ^a  

^a LUND UNIVERSITY   (Sweden)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Activated sludge modelling; Benchmarking; BSM; Influent modelling; Monte carlo simulations; Standardized regression coefficients (src)

Indexed keywords

ACTIVATED SLUDGE; BSM; INFLUENT MODELLING; MONTE CARLO SIMULATION; STANDARDIZED REGRESSION COEFFICIENTS;

BENCHMARKING; CLUSTER ANALYSIS; COMPUTER SIMULATION; METEOROLOGY; MONTE CARLO METHODS; RAIN; SENSITIVITY ANALYSIS;

FLOW RATE;

RAIN;

ACTIVATED SLUDGE; BENCHMARKING; CATCHMENT; CLUSTER ANALYSIS; FLOW PATTERN; MONTE CARLO ANALYSIS; SEASONAL VARIATION; SENSITIVITY ANALYSIS; WASTE TREATMENT; WASTEWATER;

ARTICLE; CATCHMENT; CLUSTER ANALYSIS; CONTROLLED STUDY; DECOMPOSER; HOUSEHOLD; INDUSTRY; PHENOMENOLOGY; SEASONAL VARIATION; SENSITIVITY ANALYSIS; WASTE WATER MANAGEMENT;

COMPUTER SIMULATION; MODELS, THEORETICAL; MONTE CARLO METHOD; RAIN; WASTE DISPOSAL, FLUID; WATER MOVEMENTS; WATER POLLUTANTS; WATER PURIFICATION;

EID: 84861737320     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2012.089     Document Type: Article

References (27)

1. Alex, J., Hetschel, M. & Ogurek, M. 2009 Simulation study with minimized additional data requirements to analyze control and operation of WWTP Dorsten, Germany. Wat. Sci. Tech. 60 (6), 1371-1377.
2. Benedetti, L., Bixio, D., Claeys, F. & Vanrolleghem, P. A. 2008Tools to support a model-based methodology for emission/immission and benefit/cost/risk analysis of wastewater systems that considers uncertainty. Environ. Modell. Softw. 23 (8), 1082-1091.
3. Béraud, B., Steyer, J. P., Lemoine, C., Gernaey, K. V. & Latrille, E. 2007 Model-based generation of continuous influent data from daily mean measurements available at industrial scale. In: Proceeding of the 3rd International IWA Conference on Automation in Water Quality Monitoring (AutMoNet2007), 5-7 September, Gent, Belgium.
4. Copp, J. B. (ed.) 2002 The COST Simulation Benchmark - Description and Simulator Manual. Office for Official Publications of the European Communities, Luxembourg.
5. Flores-Alsina, X., Plósz, G. B., Lindblom, E., Gernaey, K. V. & Jeppsson, U. 2012 Extending the BSM platform with occurrence, transport and fate of micro-pollutants using the ASM-X framework. IWAWorldWater Congress 2012, Busan, Korea (submitted).
6. Gernaey, K. V., Rosen, C. & Jeppsson, U. 2006 WWTP dynamic disturbance modelling - an essential module for long-term benchmarking development. Wat. Sci. Tech. 53 (4-5), 225-234. (Pubitemid 43744606)
7. Gernaey, K. V., Flores-Alsina, X., Rosen, C., Benedetti, L. & Jeppsson, U. 2011 Phenomenological modelling approach to generate WWTP disturbance scenarios. Environ. Modell. Softw. 26 (11), 1255-1267.
8. Gernaey, K. V., Jeppsson, U., Vanrolleghem, P. A., Copp, J. B. & Steyer, J.-P. (eds) 2012 Benchmarking of Control Strategies for Wastewater Treatment Plants. IWA Scientific and Technical Report, IWA Publishing, London, UK (to appear).
9. Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. 1998Multivariate Data Analysis, 5th edition. Prentice Hall, London, UK.
10. Helton, J. C. & Davis, F. J. 2003 Latin hypercube sampling method and the propagation of uncertainty in analyses of complex systems. Reliab. Engng. Syst. Saf. 81, 23-60.
11. Iman, R. L., Helton, J. C. & Campbell, J. E. 1981 An approach to sensitivity analysis of computer models, Part 1. Introduction, input variable selection and preliminary variable assessment. J. Qual. Technol. 13 (3), 174-183.
12. Jeppsson, U., Pons, M.-N., Nopens, I., Alex, J., Copp, J., Gernaey, K. V., Rosen, C., Steyer, J.-P. & Vanrolleghem, P. A. 2007Benchmark Simulation Model No 2 - General protocol and exploratory case studies. Wat. Sci. Tech. 56 (8), 67-78. (Pubitemid 350267802)
13. Keyser, W. de, Gevaert, V., Verdonck, F., De Baets, B. & Benedetti, L. 2010 An emission time series generator for pollutant release modelling in urban areas. Environ. Modell. Softw. 25 (4), 554-561.
14. Langergraber, G., Alex, J., Weissenbacher, N., Woener, D., Ahnert, M., Frehman, T., Halft, N., Hobus, I., Plattes, M., Spering, V. & Winkler, S. 2008 Generation of diurnal variation for influent data for dynamic simulation. Wat. Sci. Tech. 50 (9), 1483-1486. (Pubitemid 351860004)
15. Lindblom, E., Gernaey, K. V., Henze, M. & Mikkelsen, P. S. 2006Integrated modeling of two xenobiotic organic compounds. Wat. Sci. Tech. 54 (6-7), 213-221. (Pubitemid 44755611)
16. Muschalla, D., Ostrowski, M. W., Pereira, C. & Schneider, S. 2006Dokumentation des Schmutzfrachtmodells SMUSI Version 5.0. Darmstadt, Institut für Wasserbau und Wasserwirtschaft, Technische Universität Darmstadt, Germany.
17. Nopens, I., Benedetti, L., Jeppsson, U., Pons, M.-N., Alex, J., Copp, J. B., Gernaey, K. V., Rosen, C., Steyer, J.-P. & Vanrolleghem, P. A. 2010 Benchmark simulation model No 2: Finalization of plant layout and default control strategy. Wat. Sci. Tech. 62 (9), 1967-1974.
18. Ort, C., Schaffner, C., Giger, W. & Gujer, W. 2005 Modeling stochastic load variations in sewer systems.Wat. Sci. Tech. 52 (5), 113-122. (Pubitemid 41511860)
19. Plósz, B. G., Leknes, H. & Thomas, K. V. 2010 Impacts of competitive inhibition, parent compound formation and partitioning behaviour on antibiotic micro-pollutants removal in activated sludge: Measurements and modelling. Environ. Sci. Technol. 44 (2), 734-742.
20. Ráduly, B., Gernaey, K. V., Capodaglio, A. G., Mikkelsen, P. S. & Henze, M. 2007 Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study. Environ. Modell. Softw. 22 (8), 1208-1216. (Pubitemid 46507853)
21. Rosen, C., Jeppsson, U. & Vanrolleghem, P. A. 2004 Towards a common benchmark for long-term process control and monitoring performance evaluation. Wat. Sci. Tech. 50 (11), 41-49. (Pubitemid 40124136)
22. Rosen, C., Jeppsson, U., Rieger, L. & Vanrolleghem, P. A. 2008Adding realism to simulated sensors and actuators. Wat. Sci. Tech. 57 (3), 337-344. (Pubitemid 351425441)
23. Saltelli, A., Tarantola, S., Campolongo, F. & Ratto, M. 2004. Sensitivity Analysis in Practice. A Guide to Assessing Scientific Models. John Wiley & Sons, Chichester, UK.
24. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M. & Tarantola, S. 2008 Global Sensitivity Analysis: The Primer. John Wiley & Sons, West Sussex, UK.
25. Sin, G., Gernaey, K. V., Neumann, M. B., van Loosdrecht, M. C. M. & Gujer, W. 2011 Global sensitivity analysis in wastewater treatment plant model applications: prioritizing sources of uncertainty. Water Res. 45 (2), 639-651.
26. Spanjers, H., Vanrolleghem, P. A., Nguyen, K., Vanhooren, H. & Patry, G. G. 1998 Towards a simulation-benchmark for evaluating respirometry-based control strategies. Wat. Sci. Tech. 37 (12), 219-226.
27. Tchobanoglous, G., Burton, F. L. & Stensel, H. D. 2003Wastewater Engineering: Treatment, Disposal and Reuse. McGraw-Hill, New York, USA.