Global sensitivity analysis in wastewater applications: A comprehensive comparison of different methods

  • Authors:

  • Alida Cosenza;Giorgio Mannina;Peter A. Vanrolleghem;Marc B. Neumann

  • Affiliations:

  • Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Universití di Palermo, Viale delle Scienze, 90128 Palermo, Italy;Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Universití di Palermo, Viale delle Scienze, 90128 Palermo, Italy;modelEAU, Département de génie civil et de génie des eaux, Université Laval, 1065 av. de la Médecine, Québec, QC G1V 0A6, Canada;modelEAU, Département de génie civil et de génie des eaux, Université Laval, 1065 av. de la Médecine, Québec, QC G1V 0A6, Canada and Basque Centre for Climate Change, ...

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2013

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Abstract

Three global sensitivity analysis (GSA) methods are applied and compared to assess the most relevant processes occurring in wastewater treatment systems. In particular, the Standardised Regression Coefficients, Morris Screening and Extended-FAST methods are applied to a complex integrated membrane bioreactor (MBR) model considering 21 model outputs and 79 model factors. The three methods are applied with numerical settings as suggested in literature. The main objective considered is to classify important factors (factors prioritisation) as well as non-influential factors (factors fixing). The performance is assessed by comparing the most reliable method (Extended-FAST), by means of proposed criteria, with the two other methods. In particular, similarity to results obtained from Extended-FAST is assessed for sensitivity indices, for the ranking of sensitivity indices, for the classification into important/non-influential factors and for the method's ability to detect interaction among factors and to provide results in a reasonable time. It was found that the computationally less expensive SRC method was applied outside its range of applicability (R^2) = (0.3-0.6)