This article presents a critical review of the existing methodologies for process mathematical modelling in the area of wastewater engineering. It is argued that model identifiability is not a major issue in mathematical modelling. Model verifiability is a very demanding criterion that can be replaced by a less stringent one: model observability. The issue of ‘complex models versus reduced-order models’ is to be resolved by introducing a new concept: optimal model complexity. The traditional procedures of model validation are not adequate and a mathematical framework for model quality evaluation is needed.
Identification, verification and validation of process models in wastewater engineering: a critical review
A. Aziz Guergachi, Gilles G. Patry; Identification, verification and validation of process models in wastewater engineering: a critical review. Journal of Hydroinformatics 1 July 2003; 5 (3): 181–188. doi: https://doi.org/10.2166/hydro.2003.0014
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