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Communication incl. Poster: BibTeX citation key:  Cisse
Cissé, S., Sambou, S. & Chambal, P. L. 2009. Application to SWAT model to the Faleme basin, main tributary of the Senegal River: Revealing of the impact of change on water resources. Work presented at Third International AMMA Conference, July 20—24, at Ouagadougou, Burkina Faso.
Added by: roussot 2009-11-05 09:43:48
Categories: Society-Environment-Climate interactions
Keywords: Modelling, Water - Energy - Resources
Creators: Chambal, Cissé, Sambou
Publisher: African Monsoon Multidisciplinary Analyses (Ouagadougou, Burkina Faso)
Collection: Third International AMMA Conference

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Climate change has been observed in West and Central Africa since the 1960 to 1970 years by many hydrologists, climatologists and physicians of atmosphere. The main manifestation of this phenomenon is in a severe reduction in rainfall. Statistical tests for homogeneity have mainly been used to detect change in rainfall, in the sense of a diminution. But this statistical approach fails in quantifying the long term impact of climate change on water resource, and by the way is unable to give information to those who are in charge of water resource management and planning. In this communication, we aim at using a physical hydrological model based on the hydrological cycle. An application is made on the Faleme River, the most important left side tributary of the Senegal River.
Delineation of the river basin and hydrographical network have been produced from a topography obtained NASA-SRTM together with data from NOAA-ETOPO5 topography. A successful comparison has been made with data obtained from IRD SIEREM river network.
Digital soil map of the world from the Food and Agriculture Organization (FAO) of the United Nations has been used for the region of Faleme. Period from 1985 to 1995 have been select for calibration and simulation. Requisite climatologic inputs, such temperature, relative humidity and wind are first obtained from meteorological of Kenieba; rainfall and runoff observations come from the same station. Daily and monthly scale has been used.
The first results we have show that at the monthly scale, the model generally over estimates the flows. At the daily scale, coefficients of correlation are generally low.
New simulations, using more reliable date are running, and are more promising.
Added by: roussot