Author(s)

Saly Sambou¹, Rene Ndimag Diouf², Birane Cisse¹, Ibrahima Diouf³, Joseph Sarr⁴, Honore Dacosta¹

¹Department of Geography, Faculty of Letters and Human Sciences, Cheikh Anta Diop University, Dakar, Senegal.
²Faculty of Science and Technology of Education and Training, Cheikh Anta Diop University, Dakar, Senegal.
³NOAA Center for Weather and Climate Prediction 5830 University Research Court, College Park, Maryland, USA.
⁴National Agency for Applied Scientific Research, Ministry of Higher Education, Research and Innovation, Dakar, Senega.

The Confluent and Niandouba dams were built in 1984 and 1997 respectively to better control water resources, increase agricultural production and promote local development. This article studies their evolution on the Kayanga/Geba River, a transboundary river between Guinea, Senegal and Guinea-Bissau, from its impoundment to the present day. The topographic characteristics analysed through the DTMs (Digital Terrain Models) show a flat shape for the Confluent Dam Lake and long plateaus for the Niandouba Dam Lake. The cross-sections present a variety of morphologies ranging from wide U-shaped valleys with sinuous bottoms to deep V-shaped valleys. The homogenisation and reconstruction of missing values were carried out using the regional vector method. The application of Pettitt’s statistical test on annual rainfall (1932-2019) indicates breaks of stationarity in 1967 or 1969. The post-breakage deficits range from 11.4% to 19.4%. The segmentation method corroborates the results of the Pettitt test. The variations of the surface area of the Confluent and Niandouba water bodies are linked to rainfall, evaporation and withdrawals for different uses. Their monitoring would allow for better management of available water resources but also for good planning of off-season crops.

Dam Lakes, Remote Sensing, GIS, Watershed, Kayanga/Geba

Sambou, S. , Diouf, R. , Cisse, B. , Diouf, I. , Sarr, J. and Dacosta, H. (2021) Evolution of Dam Lakes in the Kayanga/Geba Basin: Contribution of Remote Sensing and GIS. Journal of Geoscience and Environment Protection, 9, 225-243. doi: 10.4236/gep.2021.912014.