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Wastewater treatment modelling: dealing with uncertainties

  • Belia, E. Primodal Inc., 145 Aberdeen, Québec QC, G1R 2C9, Canada E-mail: belia@primodal.com
  • Amerlinck, Y. MOSTforWATER, Sint-Sebastiaanslaan 3a, B-8500, Kortrijk, Belgium E-mail: ya@mostforwater.com
  • Benedetti, L. BIOMATH, Ghent University, Coupure links 653, B-9000, Ghent, Belgium E-mail: lorenzo.benedetti@ugent.be
  • Johnson, B. CH2M-Hill, 9193 South Jamaica Street, Englewood, Denver CO 80112, USA E-mail: Bruce.Johnson2@ch2m.com
  • Sin, G. Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark E-mail: gsi@kt.dtu.dk; kvg@kt.dtu.dk
  • Vanrolleghem, P. A. Département de génie civil, modelEAU, Université Laval, Québec QC, G1K 7P4, Canada E-mail: Peter.Vanrolleghem@gci.ulaval.ca; leiv.rieger@gci.ulaval.ca; Kris.Villez@gmail.com
  • Gernaey, K. V. Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark E-mail: gsi@kt.dtu.dk; kvg@kt.dtu.dk
  • Gillot, S. Cemagref, UR HBAN, Parc de Tourvoie, BP 44, F-92163, Antony, France E-mail: sylvie.gillot@cemagref.fr
  • Neumann, M. B. Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600, Dübendorf, Switzerland E-mail: Marc.Neumann@eawag.ch
  • Rieger, L. Département de génie civil, modelEAU, Université Laval, Québec QC, G1K 7P4, Canada E-mail: Peter.Vanrolleghem@gci.ulaval.ca; leiv.rieger@gci.ulaval.ca; Kris.Villez@gmail.com
  • Shaw, A. Black & Veatch, 8400 Ward Parkway, Kansas City MO 64114, USA E-mail: ShawAR@bv.com
  • Villez, K. Laboratory of Intelligent Process Systems (LIPS), Purdue University, 480 Stadium Mall Drive, West Lafayette IN 47906, USA
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Published in:
  • Water Science and Technology. - IWA Publishing. - 2009, vol. 60, no. 8, p. 1929-1941
Environmental Engineering
Water Science and Technology
English This paper serves as a problem statement of the issues surrounding uncertainty in wastewater treatment modelling. The paper proposes a structure for identifying the sources of uncertainty introduced during each step of an engineering project concerned with model-based design or optimisation of a wastewater treatment system. It briefly references the methods currently used to evaluate prediction accuracy and uncertainty and discusses the relevance of uncertainty evaluations in model applications. The paper aims to raise awareness and initiate a comprehensive discussion among professionals on model prediction accuracy and uncertainty issues. It also aims to identify future research needs. Ultimately the goal of such a discussion would be to generate transparent and objective methods of explicitly evaluating the reliability of model results, before they are implemented in an engineering decision-making context.
Language
  • English
Open access status
green
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https://sonar.ch/global/documents/139619
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