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Soussou, S., Masseck, B., Badji, A.M., Malanda-Nimy, E.N., Ansoumana, B., Kuruma, M., Mariko, A., Bamba, F., Dacosta, H., Malou, R., Barry, A., Kane, A., Mme Fall, A.N. and Hamadoun, S. (2011) Calage et validation des modèles hydrologiques GR4J et GR2M sur le bassin du Bafing en amont du Bafing Makana: Vers l’étude de l’impact du climat sur les ressources en eau de la retenue du Manantali. Proceedings of the 6ième édition, journées scientifiques 2iE, Ouagadougou, 4-8 April 2011.

has been cited by the following article:

• TITLE: Calibration and Validation of the GR2M Hydrologic Model in the Kouilou-Niari Basin in Southwestern Congo-Brazzaville

  AUTHORS: Christian Ngoma Mvoundou, Christian Tathy, Harmel Obami-Ondon, Guy Blanchard Matété Moukoko, Richard Romain Niere

  KEYWORDS: Kouilou-Niari Catchment Area, Rainfall-Runoff Modeling, GR2M Model, Nash-Sutcliffe Criterion, Calibration Phase, Validation Phase

  JOURNAL NAME: Open Journal of Modern Hydrology, Vol.12 No.3, July 29, 2022

  ABSTRACT: The hydrologic simulation of a catchment area, described as the transformation of rainfall into runoff, generally uses hydrologic model. This work opts for the global conceptual hydrologic model GR2M, a monthly time step model, to study the Kouilou-Niari basin, the second most important ones of the Republic of Congo. This includes two parameters to model the hydrologic behavior of a catchment area. The choice of the conceptual model GR2M is justified by the reduced number of parameters and the monthly time scale. The objective of this study is to determine the characteristic parameters of the GR2M model, by a calibrating and a validating procedure. The use of these parameters enables to follow the evolution of the water resources from the climatic variables. It has been first carried out a characterization of some physical, geological and climatic factors governing the flow, by dealing with the main climatic variables which constitute the inputs of the hydrologic model. Then, a hydrologic rainfall-runoff modeling allows to calibrate and validate the model at monthly time scale. Taking into account the number of parameters involved in hydrologic processes and the complexity of the cathment area, this model gives acceptable results throughout the Kouilou-Niari basin. The values of the Nash-Sutcliffe criterion and those of the correlation coefficient obtained are greater than 80% in validation, which explains the performance and robustness of the GR2M model on this basin.