Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Tagungsbeiträge |
URL | http://www.mssanz.org.au/modsim05/papers/berlekamp.pdf |
Titel (primär) | A decision support system for integrated river basin management of the German Elbe |
Titel (sekundär) | International Congress on Modelling and Simulation, Melbourne, 12-15 Dec 2005 |
Autor | Berlekamp, J.; Lautenbach, S.; Graf, N.; Matthies, M. |
Herausgeber | Zerger, A.; Argent, R.M. |
Erscheinungsjahr | 2005 |
Department | CLE |
Seite von | 1518 |
Seite bis | 1524 |
Sprache | englisch |
Keywords | DSS, River Basin Management; Water Quality; Integrated Modelling |
Abstract |
Water resources management on the river-basin scale as requested by the European Water Framework Directive is a highly complex task: not only the complex network of interdependencies of elements of the natural, ecological and socio-economical systems and their linkage but also the interests of various stakeholder groups must be taken into account. For this purpose a decision support system for integrated river basin management of the German part of the Elbe river basin (Elbe-DSS) has been developed, which involves taking into account water quantity, chemical quality, and ecological status of surface waters. Starting from identification of user needs by repeated consultation of stakeholders a list of management objectives, measures, and external scenarios turned out, which was taken as the basis for the DSS development. A comprehensive system analysis was carried out to meet the various spatial and temporal scales when dealing with hydrologic, ecologic, economic, and social aspects related to water quantity, quality and ecological status (Matthies et al. 2005). The system is build up by integrating only already existing models and data. System and software design are strongly oriented on management tasks: starting from selected management objectives the effects of external scenarios of climate, agro economic and demographic change, and selected measures to achieve the desired state of good water quantity and quality can be investigated. Analysis tools are integrated to assist the user in evaluating the various management options. The system is implemented by using DSS-generator Geonamica® developed by Research Institute of Knowledge Systems (RIKS) (Hahn and Engelen 2000), which is also used in other DSS projects (Oxley et al. 2004). The implemented measures on catchment scale can be classified into the groups ‘reduction of pollution from urban areas’, ‘modification of agricultural land allocation’, ‘changes in agricultural practices and ‘political and legislative requirements concerning nutrient surplus’. This paper focuses on water quality related questions on the catchment level. The effects of selected management options on the management objective ‘reduction of nutrient loads’ are presented to demonstrate how the DSS can be used for strategic management tasks as well as for participation and negotiation processes. The results indicate the different effects of each simulated measure on nitrogen and phosphorus inputs and concentrations in the river system. It could also be shown that efficiency of measures tend to show varying spatial patterns. The same holds for the simulated climate change scenarios where positive or negative effects depend on local and regional conditions. In the final version tools for economical evaluation of measures will also be implemented to assess cost effectiveness of management options. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=3179 |
Berlekamp, J., Lautenbach, S., Graf, N., Matthies, M. (2005): A decision support system for integrated river basin management of the German Elbe In: Zerger, A., Argent, R.M. (eds.) International Congress on Modelling and Simulation, Melbourne, 12-15 Dec 2005 Modelling and Simulation Society of Australia and New Zealand, Melbourne, 1518 - 1524 |