A methodology to support multidisciplinary model-based water management

  • Authors:

  • Huub Scholten;Ayalew Kassahun;Jens Christian Refsgaard;Theodore Kargas;Costas Gavardinas;Adrie J. M. Beulens

  • Affiliations:

  • Wageningen University, Information Technology Group, Dreijenplein 2, 6703 HB, Wageningen, The Netherlands;Wageningen University, Information Technology Group, Dreijenplein 2, 6703 HB, Wageningen, The Netherlands;Geological Survey of Denmark and Greenland, Øster Voldgade 10, DK-1350 Copenhagen K, Denmark;National Technical University of Athens, Laboratory of Hydrology and Water Resources Management, 5 Iroon Polytechniou st, GR-157 80 Athens, Greece;National Technical University of Athens, Laboratory of Hydrology and Water Resources Management, 5 Iroon Polytechniou st, GR-157 80 Athens, Greece;Wageningen University, Information Technology Group, Dreijenplein 2, 6703 HB, Wageningen, The Netherlands

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2007

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Abstract

Quality assurance in model based water management is needed because of some frequently perceived shortcomings, e.g. a lack of mutual understanding between modelling team members, malpractice and a tendency of modellers to oversell model capabilities. Initiatives to support quality assurance focus on single domains and often follow a textbook approach with guidelines and checklists. A modelling process involves a complex set of activities executed by a team. To manage this complex, usually multidisciplinary process, to guide users through it and enhance the reproducibility of modelling work a software product has been developed, aiming at supporting the full modelling process by offering an ontological knowledge base (KB) and a Modelling Support Tool (MoST). The KB consists of a generic part for modelling, but also parts specific for various water management domains, for different types of users and for different levels of modelling complexity. MoST's guiding component filters relevant knowledge from the KB depending on the user profile and needs. Furthermore, MoST supports different types of users by monitoring what they actually do and by producing customized reports for diverse audiences. In this way MoST facilitates co-operation in teams, modelling project audits and re-use of experiences of previous modelling projects.