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MULti sectoral, INtegrated and Operational Decision Support System for Sustainable Use of Water Resources at the Catchment Scale (MULINO): a Belgian case study
Romanowicz, A.A.; Vanclooster, M.; Rounsevell, M.; Lajeunesse, I. (2002). MULti sectoral, INtegrated and Operational Decision Support System for Sustainable Use of Water Resources at the Catchment Scale (MULINO): a Belgian case study, in: ECSA Local Meeting: ecological structures and functions in the Scheldt Estuary: from past to future, Antwerp, Belgium October 7-10, 2002: abstract book. pp. 46
In: (2002). ECSA Local Meeting: ecological structures and functions in the Scheldt Estuary: from past to future, Antwerp, Belgium October 7-10, 2002: abstract book. University of Antwerp: Antwerp. 73 + 1 cd-rom pp., more

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    VLIZ: Proceedings [35194]
Document type: Conference paper

Keywords

Authors  Top 
  • Romanowicz, A.A.
  • Vanclooster, M.
  • Rounsevell, M.
  • Lajeunesse, I.

Abstract
    The Mulino [1] project is a 3 year European Commission funded project. The main objective is the creation of a Decision Support System (DSS) supporting the implementation of the Water Framework Directive (WFD) at the scale of a hydrological catchment. The DSS will incorporate a set of socio-economic and environmental modelling techniques built around a geographical information system (GIS) to describe a series of hydrological and socio-economic properties in terms of external drivers and pressures. The decisional context is defined by a set of end-users directly involved in the implementation of the WFD. The DSS prototype will be implemented in a series of test catchments, including the Walloon part of the Dyle. A hydrological model, the physically-based SWAT model (Soil and Water Assessment Tool) [2], is integrated in the DSS system. The AvSwat2001version was used, which is fully integrated within an ARCVIEW TM environment. The model, however, needs to be validated for a specific catchment before application. . In the example presented here, the hydrological modelling component was first evaluated on the Thyle subcatchment (59 km2), but later applied to the Dyle upstream of Archennes. Primary results show that the predicted hydrographs with the SWAT model are sensitive to the input parametrisation schemes (e.g. soil parametrisation). Model sensitivity needs therefore to be addressed before the model can be used within the DSS.

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