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Entropy Based River Discharge Estimation Using One-Point Velocity Measurement at 0.6D
Water Resources Research ( IF 4.6 ) Pub Date : 2021-07-17 , DOI: 10.1029/2021wr029825 Jitendra K. vyas 1 , Muthiah Perumal 1 , Tommaso Moramarco 2
Water Resources Research ( IF 4.6 ) Pub Date : 2021-07-17 , DOI: 10.1029/2021wr029825 Jitendra K. vyas 1 , Muthiah Perumal 1 , Tommaso Moramarco 2
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Entropy theory applied to hydrometric measurements enables establishing a relationship between the maximum and the mean velocities of flow passing a river section. In many developing countries, river discharge is still estimated by the velocity-area method following the procedure established based on the point-velocities measured at 0.6D depth from the water surface of many verticals of flow section. This study explores the establishment of a relationship between the maximum point-velocity estimated at 0.6D depth of the vertical located at or nearer to the deepest flow depth, and the maximum point-velocity occurring somewhere along the same vertical which in turn can be linked to the sectional mean flow velocity based on the established entropy theory. The appropriateness of the proposed two-steps based approach of discharge estimation is first verified on the Tiber River and the Po River of Italy. The study finds that the values of the maximum point-velocity estimated using the proposed approach closely matches with the recorded maximum flow velocity values along the same flow-depths. After this verification, the proposed method was applied for discharge estimation at two Indian river gauging stations, where only the point-velocity measurements at 0.6D depth locations of the verticals are recorded. The study finds that the discharges estimated by both the proposed approach and the velocity-area method closely match with each other with the estimated Nash-Sutcliffe Efficiency (NSE) values greater than 0.99. Thus the proposed two-steps approach involving the entropy concept based relationship for discharge estimation enables to replace the tedious and time-consuming velocity-area approach.
更新日期：2021-08-09
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