• Title of article

    A methodology to support multidisciplinary model-based water management

  • Author/Authors

    Huub Scholten a، نويسنده , , *، نويسنده , , Ayalew Kassahun a، نويسنده , , Jens Christian Refsgaard، نويسنده , , Theodore Kargas c، نويسنده , , Costas Gavardinas c، نويسنده , , Adrie J.M. Beulens a، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2007
  • Pages
    17
  • From page
    743
  • To page
    759
  • 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.
  • Keywords
    Model-based water management , Multidisciplinary modelling knowledge , Ontological knowledge base , quality assurance , Modelling support
  • Journal title
    Environmental Modelling and Software
  • Serial Year
    2007
  • Journal title
    Environmental Modelling and Software
  • Record number

    958715