Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 342537
Title Quality assurance in model based water management - review of existing practice and outline of new approaches
Author(s) Refsgaard, J.C.; Henriksen, H.; Harrar, B.; Scholten, H.; Kassahun, A.
Source Environmental Modelling & Software 20 (2005)10. - ISSN 1364-8152 - p. 1201 - 1215.
DOI https://doi.org/10.1016/j.envsoft.2004.07.006
Department(s) Information Technology
MGS
Publication type Refereed Article in a scientific journal
Publication year 2005
Keyword(s) waterbeheer - modellen - kwaliteitscontroles - watervoorraden - richtlijnen (guidelines) - kennis - waterkwaliteit - monitoring - hydrologie van stroomgebieden - stroomgebieden - water management - models - quality controls - water resources - guidelines - knowledge - water quality - catchment hydrology - watersheds - validation
Categories Water Management (General)
Abstract 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.
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