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dc.contributor.advisorWu, Chin
dc.contributor.authorKasch, Bill
dc.date.accessioned2015-08-10T17:47:46Z
dc.date.available2015-08-10T17:47:46Z
dc.date.issued2015-05-18
dc.identifier.urihttp://digital.library.wisc.edu/1793/72891
dc.description.abstractAn efficient method for estimating discharge of rivers with short-term reversed flow is developed using entropy-based velocity distribution equations. The proposed method, called adaptive horizontal entropy method (AHEM), allows an adaptive range of velocity sampling using a stationary horizontal acoustic Doppler current profiler (HADCP). In AHEM, the mean velocity is related to the averaged HADCP velocities in a linear relationship after establishing velocity distribution parameters. To test the performance of AHEM in measuring short-term reversed flows, AHEM is deployed at Yahara River in Wisconsin, and the estimated discharges are then compared with measurements by a moving boat vertical ADCP. The results show that it performed well for short-term reversed flows. Root mean square error of AHEM estimation is 0.37 m3/s, the mean relative error is 13.1% and the coefficient of determination is 0.984. In comparison with the well-established index velocity method, AHEM yielded slightly lower errors, indicating reasonable accuracy. AHEM can reliably estimate discharge using a flexible HADCP data coverage area without recalibration and also adapt to changes in the velocity distribution by using fit velocity distribution parameters.en
dc.titleAN EFFICIENT METHOD FOR MEASURING DISCHARGE OF A RIVER WITH SHORT-TERM REVERSED FLOWSen
dc.typeThesisen
thesis.degree.levelMSen
thesis.degree.disciplineCivil and Environmental Engineeringen


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