TY - JOUR
T1 - A methodology to support multidisciplinary model-based water management
AU - Scholten, Huub
AU - Kassahun, Ayalew
AU - Refsgaard, Jens Christian
AU - Kargas, Theodore
AU - Gavardinas, Costas
AU - Beulens, Adrie J.M.
N1 - Funding Information:
The present work was carried out within the Project ‘Harmonizing Quality Assurance in model based catchments and river basin management (HarmoniQuA)’, which is partly funded by the EC Energy, Environment and Sustainable Development programme (Contract EVK1-CT2001-00097). The authors thank all persons involved in this project. 17
PY - 2007/5
Y1 - 2007/5
N2 - 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.
AB - 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.
KW - Model-based water management
KW - Modelling support
KW - Multidisciplinary modelling knowledge
KW - Ontological knowledge base
KW - Quality assurance
UR - http://www.scopus.com/inward/record.url?scp=33845689932&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2005.12.025
DO - 10.1016/j.envsoft.2005.12.025
M3 - Article
VL - 22
SP - 743
EP - 759
JO - Environmental Modelling & Software
JF - Environmental Modelling & Software
IS - 5
ER -