IAHS-AISH Scientific Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Niger River Basin - Hydrological Modelling: Enhancing Framework Accuracy.

Salif Koné1, Gil Mahé2, Fatogoma Bamba1, Jean Emmanuel Paturel2, Alain Dezetter2, and Eric Servat2
Salif Koné et al.
  • 1École Nationale d'Ingenieurs Abderhamane Baba Touré, Geology, Bamako, Mali (skonemaat@yahoo.fr)
  • 2Institut de Recherche pour le Développement/ Laboratoire HydroSciences, Montpellier, France.

In hydrology, enhancing existing models are good ways to establishing efficient and accurate conceptual frameworks for hydrological simulation’s purposes. Methodologically, a framework that has two parameters and three input variables, called SimulHyd, is used in this study to modelling runoff data, on sixteen watersheds of the Niger River and its tributaries, from 1950 to 1999. Purposely, this paper focuses on a model’s inter-comparison method, which summarizes, in tables, then in graphics and in maps, the obtained results. We enhance modelling outputs both in modifying the former french’s GR2M model to obtain a model called SimulHyd model and in developing a semi-distributed modelling from a lumped modelling approach.  SimulHyd stands for Simulation of Hydrological systems.

How to cite: Koné, S., Mahé, G., Bamba, F., Paturel, J. E., Dezetter, A., and Servat, E.: Niger River Basin - Hydrological Modelling: Enhancing Framework Accuracy., IAHS-AISH Scientific Assembly 2022, Montpellier, France, 29 May–3 Jun 2022, IAHS2022-80, https://doi.org/10.5194/iahs2022-80, 2022.