Predictive Model of Rainfall-Runoff: A Case Study of the Sanaga Basin at Bamendjin Watershed in Cameroon

  •  Terence Lukong    
  •  Michel Mbessa    
  •  Thomas Tamo Tatietse    


In order to reduce the energy deficit recorded in Cameroon, management of watersheds where storage dams are situated plays a vital role. The Bamendjin dam situated upstream of the river Sanaga in Cameroon plays a significant role in regulating the flow of the river Sanaga which is used to generate hydroelectric energy for the South Interconnected Network (SIN) of AES SONEL (the main producer and distributor of electricity in Cameroon) at the power plants of Edea and Songloulou downstream of the Sanaga in Cameroon. This paper proposes a model of the watershed that gives an accurate estimation of the quantity of water that will enter the dam given an estimated future rainfall. The model captures the relationships between rainfall and streamflow and to reliably estimate initial watershed states. While future runoff are mainly dependent on initial watershed states and future rainfall, use of the rainfall-runoff models together with estimated future rainfall can produce skillful forecasts of future runoff which is the basis of this prediction system. The result we obtained is a simulated discharge or hydrograph at the outlet (entrance of the dam). To validate it, a comparison of the simulated flowrate and the observed flowrate is carryout using historic data with the Nash Sutcliffe Efficiency Criterion and we obtained an efficiency of 0.833, meaning that the simulation was good.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-0569
  • ISSN(Online): 1927-0577
  • Started: 2011
  • Frequency: semiannual

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