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Identification, verification and validation of process models in wastewater engineering: a critical review
Author(s) -
Aziz Guergachi,
Gilles G. Patry
Publication year - 2003
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2003.0014
Subject(s) - identifiability , observability , model validation , computer science , identification (biology) , process (computing) , mathematical model , management science , engineering , mathematics , machine learning , data science , botany , biology , operating system , statistics
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.

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