A New Approach of the Estimation of the Parameters of the Linear Muskingum Model for River Flow Simulation: Application to Bafing, Senegal River Flow Tributary between Dakka Saidou and Bafing Makana Gauges Stations
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 8
Abstract
Flood routing is a non-structural method in flood warning. Muskingum Model is a lumped flood routing model based on the continuity equation and a linear discharge storage relation. Its parameters and of are graphically estimated through subjective trial and error procedures. A new approach of parameters and estimation based on observations is proposed. Least square method is used to estimate parameters for every year of the calibration period. Parameters not satisfying the criteria for stability or corresponding to negative K value are eliminated. Remaining parameters are applied separately to the whole hydrographs of the calibration period. Those with the lowest value of the RMSE are selected. An application is made on the Bafing, Senegal River tributary upstream Manantali Dam. River Reach limited by Dakka Saidou and Bafing-Makana stream gauges is considered. The flood hydrographs observed on the 1961-2013 period are used for calibration. The RMSE over this period for the year 1984 is minimal and the Best Linear Muskingum parameters for 1984 are representative for this reach. These parameters can be used for reconstruction of missing data and can be integrated in a decision support system of the Manantali dam.
Authors and Affiliations
Moussé Landing SANE, Soussou SAMBOU, Issa LEYE, Didier Maria NDIONE, Seidou KANE, Seni TAMBA, Malang DIATTA
Keywords
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- EP ID EP395041
- DOI 10.9790/9622-0808022027.
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