Calibration and Validation of the GR2M Hydrologic Model in the Kouilou-Niari Basin in Southwestern Congo-Brazzaville
Calibration and Validation of the GR2M Hydrologic Model in the Kouilou-Niari Basin in Southwestern Congo-Brazzaville作者机构：Laboratory of Mechanics Energy and Engineering Higher National Polytechnic School Marien Ngouabi University Brazzaville Congo Laboratory of Mechanics Energy and Engineering Higher National Polytechnic School Marien Ngouabi University Brazza-ville Congo Department of Exact Sciences Higher Teacher’s Training School Marien Ngouabi University Brazzaville Congo
出 版 物：《Open Journal of Modern Hydrology》 (现代水文学期刊（英文）)
年 卷 期：2022年第12卷第3期
页 面：109-124页
学科分类：08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程]
主 题：Kouilou-Niari Catchment Area Rainfall-Runoff Modeling GR2M Model Nash-Sutcliffe Criterion Calibration Phase Validation Phase
摘 要：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.
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