Identification, verification and validation of process models in wastewater engineering: a critical review

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 replac...

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Bibliographic Details
Published in:Journal of hydroinformatics 2003-07, Vol.5 (3), p.181-188
Main Authors: Guergachi, A. Aziz, Patry, Gilles G.
Format: Article
Language:English
Subjects:
Complexity
Evaluation
Frameworks
Mathematical analysis
Mathematical models
Modelling
Observability (systems)
Procedures
Quality assessment
Reduced order models
Wastewater
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Description
Summary: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.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2003.0014