Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Environmental Modelling & Software
Does high forecast uncertainty preclude effective decision support?
Environmental Modelling & Software
Generic integration of environmental decision support systems - state-of-the-art
Environmental Modelling & Software
A new approach to water quality modelling and environmental decision support systems
Environmental Modelling & Software
Dynamic mapping of nature values to support prioritization of coastal oil combating
Environmental Modelling & Software
Position Paper: Modelling with stakeholders
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
Decision support for diffuse pollution management
Environmental Modelling & Software
'Integronsters', integral and integrated modeling
Environmental Modelling & Software
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We developed a decision support system (DSS) for sustainable river basin management in the German Elbe catchment (~100,000km^2), called Elbe-DSS. The system integrates georeferenced simulation models and related data sets with a user friendly interface and includes a library function. Design and content of the DSS have been developed in close cooperation with end users and stakeholders. The user can evaluate effectiveness of management actions like reforestation, improvement of treatment plant technology or the application of buffer strips under the influence of external constraints on climate, demographic and agro-economic changes to meet water management objectives such as water quality standards and discharge control. The paper (i) describes the conceptual design of the Elbe-DSS, (ii) demonstrates the applicability of the integrated catchment model by running three different management options for phosphate discharge reduction (reforestation, erosion control and ecological-farming) under the assumption of regional climate change based on IPCC scenarios, (iii) evaluates the effectiveness of the management options, and (iv) provides some lessons for the DSS-development in similar settings. The georeferenced approach allows the identification of local inputs in sub-catchments and their impact on the overall water quality, which helps the user to prioritize his management actions in terms of spatial distribution and effectiveness.