IAHS2022-274, updated on 23 Sep 2022
https://doi.org/10.5194/iahs2022-274
IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using of hydrological model and geospatial tool to assess climate change impact on the hydropower potential of the White Bandama watershed in Côte d’Ivoire (West Africa)

Koffi Claude Alain Kouadio1,2, Ernest Amoussou3, Arona Diedhiou4,5, Talnan Jean Honoré Coulibaly1, Houebagnon Coulibaly1,2, Regis Didi1,2, and Issiaka Savané1
Koffi Claude Alain Kouadio et al.
  • 1University Nangui Abrogoua, Geosciences and Environment, Côte d'Ivoire (kclaudealain@gmail.com)
  • 2African Centre of Excellence on Climate Change, Biodiversity and Sustainable Agriculture (CEA-CCBAD), Côte d’Ivoire
  • 3Department of Geography and Territory Management (DGAT), University of Parakou, Benin (ernestamoussou@gmail.com)
  • 4Institute of Research for Development (IRD), France (arona.diedhiou@gmail.com)
  • 5Laboratory of Transfer Studies in Hydrology and Environment (LTHE), University of Grenoble Alpes, France

This study was conducted in the White Bandama watershed (WBW) in Côte d’Ivoire (West Africa). The objective is to assess the impacts of future climate change (CC) on the hydropower potential (HPP) of the WBW. The methodology is based on coupling the SWAT (Soil and Water Assessment Tool) hydrological model with the Geographic Information System (GIS) QGIS to assess HPP on streams and evaluate the impacts of future CC on HPP of the watershed. Historical and climate projection data (precipitation, minimum and maximum temperature) for a set of three Regional Climate Models (RCM) from CORDEX-AFRICA (CCCma-CanRCM4, CCLM4-8-17 and REMO 2009) under RCP 4.5 were used. The biases of the ensemble mean were corrected by the Delta-change method. The relative change of streamflow discharge and HPP was assessed as the relative difference between the projection periods (2041-2070 and 2071-2100) and the reference period (1976-2005). The results showed a total of 22 future hydropower potential sites in the watershed. These sites were identified, geolocated and classified according to their potential capacity of generation in 82% as small (1 MW-25 MW potential capacity), 9% as medium (25 MW-100 MW potential capacity) and 9% as large (more than 100 MW potential capacity) hydropower. The climate models’ ensemble projected an upward trend for both the annual mean discharge of rivers and HPP of the WBW according to RCP 4.5 for the periods 2041-2070 and 2071-2100. The variation in flow rates is projected to have a positive impact on the HPP of the WBW. On the annual cycle, the months of August and September will record the highest monthly mean flows between 150 and 200 m3/s while the months from November to April will record low monthly mean flows on the WBW.

How to cite: Kouadio, K. C. A., Amoussou, E., Diedhiou, A., Coulibaly, T. J. H., Coulibaly, H., Didi, R., and Savané, I.: Using of hydrological model and geospatial tool to assess climate change impact on the hydropower potential of the White Bandama watershed in Côte d’Ivoire (West Africa), IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-274, https://doi.org/10.5194/iahs2022-274, 2022.