Quality assurance in model based water management – review of existing practice and outline of new approaches

Quality assurance (QA) is defined as protocols and guidelines to support the proper application of models. In the water management context we classify QA guidelines according to how much focus is put on the dialogue between the modeller and the water manager as: (Type 1) Internal technical guideline...

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Bibliographic Details
Published in:Environmental modelling & software : with environment data news 2005-10, Vol.20 (10), p.1201-1215
Main Authors: Refsgaard, Jens Christian, Henriksen, Hans Jørgen, Harrar, William G., Scholten, Huub, Kassahun, Ayalew
Format: Article
Language:English
Subjects:
catchment hydrology
guidelines
hydrologie van stroomgebieden
kennis
knowledge
kwaliteitscontroles
modellen
Modelling guidelines
monitoring
Quality assurance
quality controls
richtlijnen (guidelines)
stroomgebieden
Support tools
Uncertainty
validation
water management
Water Management (General)
water quality
water resources
Water resources management
waterbeheer
Waterbeheer (algemeen)
waterkwaliteit
watersheds
watervoorraden
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Summary:Quality assurance (QA) is defined as protocols and guidelines to support the proper application of models. In the water management context we classify QA guidelines according to how much focus is put on the dialogue between the modeller and the water manager as: (Type 1) Internal technical guidelines developed and used internally by the modeller's organisation; (Type 2) Public technical guidelines developed in a public consensus building process; and (Type 3) Public interactive guidelines developed as public guidelines to promote and regulate the interaction between the modeller and the water manager throughout the modelling process. State-of-the-art QA practices vary considerably between different modelling domains and countries. It is suggested that these differences can be explained by the scientific maturity of the underlying discipline and differences in modelling markets in terms of volume of jobs outsourced and level of competition. The structure and key aspects of new generic guidelines and a set of electronically based supporting tools that are under development within the HarmoniQuA project are presented. Model credibility can be enhanced by a proper modeller-manager dialogue, rigorous validation tests against independent data, uncertainty assessments, and peer reviews of a model at various stages throughout its development.
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2004.07.006