Scenario analysis and management options for sustainable river basin management: Application of the Elbe DSS

Autor(en): Lautenbach, Sven
Berlekamp, Juergen
Graf, Neil
Seppelt, Ralf
Matthies, Michael
Stichwörter: Computer Science; Computer Science, Interdisciplinary Applications; CROPPING SYSTEMS; decision support system; DECISION-SUPPORT-SYSTEM; Engineering; Engineering, Environmental; Environmental Sciences; Environmental Sciences & Ecology; FRAMEWORK; GROUNDWATER RESIDENCE TIMES; integrated catchment model; INTEGRATION; MODEL; river basin management; SIMULATION; SOFTWARE; TOOLS; water quality; Water Resources; WATER-RESOURCES
Erscheinungsdatum: 2009
Herausgeber: ELSEVIER SCI LTD
Journal: ENVIRONMENTAL MODELLING & SOFTWARE
Volumen: 24
Ausgabe: 1
Startseite: 26
Seitenende: 43
Zusammenfassung: 
We developed a decision support system (DSS) for sustainable river basin management in the German Elbe catchment (similar to 100,000 km(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. (C) 2008 Elsevier Ltd. All rights reserved.
ISSN: 13648152
DOI: 10.1016/j.envsoft.2008.05.001

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