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Titel An interdisciplinary scenario analysis to assess the water availability and water consumption in the Upper Ouémé catchment in Benin
VerfasserIn S. Giertz, B. Diekkrüger, A. Jaeger, M. Schopp
Medientyp Artikel
Sprache Englisch
ISSN 1680-7340
Digitales Dokument URL
Erschienen In: Integration of hydrological models on different spatial and temporal scales ; Nr. 9 (2006-09-26), S.3-13
Datensatznummer 250006566
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/adgeo-9-3-2006.pdf
 
Zusammenfassung
This paper presents an interdisciplinary scenario analysis to assess the influence of global and regional change on future water availability and water consumption in the Upper Ouémé catchment in central Benin. For the region three development scenarios were evolved. These scenarios are combined with climate change scenarios based on the IPCC (Intergovernmental Panel on Climate Change). In the mo\-delling approach the quantification of the land use/land cover change is performed by the cellular automata model CLUE-S. The future climate scenarios are computed with the regional climate model REMO driven by the global ECHAM model. Using this data different land use and climate change scenarios can be calculated with the conceptual hydrological model UHP-HRU to assess the effects of global changes on the future water availability in Benin.

To analyse the future water availability also the water consumption has to be taken into account. Due to high population growth an increase in water need in the future is expected for the region. To calculate the future household water consumption data from a regional survey and demographic projections are used. Development of the water need for animal husbandry is also considered.

The first test run of the modelling approach was performed for the development scenario 'business as usual' combined with the IPCC scenario B2 for the year 2025. This test demonstrates the applicability of the approach for an interdisciplinary scenario analysis. A continuous run from 2000–2025 will be simulated for different scenarios as soon as the input data concerning land use/land cover and climate are available.

 
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