Investigation about Accuracy of Discharge Data Controlled by Multi-Reservoir System on Jinzu River Using Inflow Estimation Method Based on Digital Filter

Suzuki, Hiroyuki; Ochiai, Atsushi; Kuda, Masashige; Mizoguchi, Atsuko

doi:10.3178/jjshwr.21.285

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Previous studies aimed to improve reservoir inflow measurements and minimize potential errors in the inflow estimates using various approaches, such as the ensemble Kalman filter (EnKF) (Deng et al 2015), applying the moving average of mean water balance equation (Budu 2014), and employing remote sensing information for reservoir slope storage computation (Suzuki et al 2008). These studies have led to improvements in the accuracy of dam inflow quantification; however, additional efforts should be directed toward improving the precision of reservoir inflow measurement techniques.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Inflow Dynamics in a Multipurpose Dam Based on Travel-Time Principle

Sawaf

Kawanisi

Xiao

et al. 2021

Preprint

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Understanding inflow dynamics in a dam lake forms the basis for optimal dam operation and management practices. However, methods pertaining to adequately determining negative inflows and addressing them, as well as quantifying uncertainties in dam inflow, have been scarcely investigated. In this study, the inflow was observed using two pairs of fluvial acoustic tomography (FAT) systems placed diagonally in a dam lake, forming a crossed-shaped pattern. The “travel-time” principle is the primary approach for measuring the inflow by FAT. The novelty of this study is in discussing the inflow characteristics within a slow water-flow environment monitored by FAT. Based on the reciprocal sound transmission, we upgraded an equation to estimate the flow direction; this newly proposed generalized equation can be used in a fluctuating flow environment. We also discussed the sound propagation characteristics for slow flow velocities. Finally, we demonstrated that a small inaccuracy in the acoustic signal, even by a sub-millisecond, can cause significant errors in measurements. One of the novel findings of this study is the detection of internal waves using the improved flow direction equation and acoustic travel-time records. Overall, this study presents a promising approach for inflow measurements under extremely slow flow conditions.

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Section: Introductionmentioning

confidence: 99%