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Hydrology 2018, 5(1), 21;

Future Climate Change Impacts on Streamflows of Two Main West Africa River Basins: Senegal and Gambia

Laboratoire Leïdi “Dynamique des Territoires et développement”, Université Gaston Berger (UGB), BP 234-Saint-Louis, Senegal
Institut de Recherche pour le Développement, UMR HydroSciences Montpellier, Université de Montpellier, CC 057, Place Eugène Bataillon, 34095 Montpellier CEDEX 5, France
UFRS2ATA: “Sciences Agronomiques, de l’Aquaculture et des Technologies Alimentaires”, Université Gaston Berger (UGB), BP 234 Saint-Louis, Senegal
Laboratoire LSAO “Laboratoire des Sciences de l’Atmosphère et de l’Océan”, Université Gaston Berger (UGB), BP 234 Saint-Louis, Senegal
NMSU: Agricultural Science Center at Farmington, Department of Plant and Environment Sciences, New Mexico State University, Farmington, NM 87401, USA
LERSTAD “Laboratoire d’Etudes et de Recherche en Statistique et Développement”, Université Gaston Berger (UGB), BP 234 Saint-Louis, Senegal
Author to whom correspondence should be addressed.
Received: 7 February 2018 / Revised: 13 March 2018 / Accepted: 15 March 2018 / Published: 16 March 2018
(This article belongs to the Special Issue Climatic Change Impact on Hydrology)
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This research investigated the effect of climate change on the two main river basins of Senegal in West Africa: the Senegal and Gambia River Basins. We used downscaled projected future rainfall and potential evapotranspiration based on projected temperature from six General Circulation Models (CanESM2, CNRM, CSIRO, HadGEM2-CC, HadGEM2-ES, and MIROC5) and two scenarios (RCP4.5 and RCP8.5) to force the GR4J model. The GR4J model was calibrated and validated using observed daily rainfall, potential evapotranspiration from observed daily temperature, and streamflow data. For the cross-validation, two periods for each river basin were considered: 1961–1982 and 1983–2004 for the Senegal River Basin at Bafing Makana, and 1969–1985 and 1986–2000 for the Gambia River Basin at Mako. Model efficiency is evaluated using a multi-criteria function (Fagg) which aggregates Nash and Sutcliffe criteria, cumulative volume error, and mean volume error. Alternating periods of simulation for calibration and validation were used. This process allows us to choose the parameters that best reflect the rainfall-runoff relationship. Once the model was calibrated and validated, we simulated streamflow at Bafing Makana and Mako stations in the near future at a daily scale. The characteristic flow rates were calculated to evaluate their possible evolution under the projected climate scenarios at the 2050 horizon. For the near future (2050 horizon), compared to the 1971–2000 reference period, results showed that for both river basins, multi-model ensemble predicted a decrease of annual streamflow from 8% (Senegal River Basin) to 22% (Gambia River Basin) under the RCP4.5 scenario. Under the RCP8.5 scenario, the decrease is more pronounced: 16% (Senegal River Basin) and 26% (Gambia River Basin). The Gambia River Basin will be more affected by the climate change. View Full-Text
Keywords: Senegal River Basin; Gambia River Basin; climate change; GR4J; rainfall-runoff modeling; streamflow Senegal River Basin; Gambia River Basin; climate change; GR4J; rainfall-runoff modeling; streamflow

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Bodian, A.; Dezetter, A.; Diop, L.; Deme, A.; Djaman, K.; Diop, A. Future Climate Change Impacts on Streamflows of Two Main West Africa River Basins: Senegal and Gambia. Hydrology 2018, 5, 21.

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