Experimental and numerical simulations of the hydraulic flushing of reservoir sedimentation for planning and design of a hydropower project

Isaac, Neena; Eldho, T. I.

doi:10.1111/lre.12278

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…It was applied to simulate two measured turbidity current events in the Xiaolangdi Reservoir on the Yellow River, with the results indicating the model was a suitable tool to define both the current front location and the suitable time of opening the bottom outlets to implement reservoir sediment management. Isaac & Eldho () presented a 3‐D model and experimental work focusing on hydraulic flushing of the reservoir to identify the suitable orientation intake and to optimize hydraulic flushing. The variations between the 3‐D model results and experiments were between 4% and 6% for the different discharges and durations considered in their analysis.…”

Section: Introductionmentioning

confidence: 99%

A numerical study of pumping effects on flow velocity distributions in Mosul Dam reservoir using the HEC‐RAS model

et al. 2020

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Water flow direction and velocity affect and controls erosion, transport and deposition of sediment in rivers, reservoirs and different hydraulic structures. One of the main structures affected is pumping stations within the dams wherein the velocity distribution near the station intake is disturbed. The two‐dimensional (2‐D) HEC‐RAS 5.01 model was utilized to study, analyse and evaluate the effects of pumping rates and flow depth on the flow velocity distribution, flow stream power and their effects in the Mosul Dam reservoir. The pumping station was considered as a case study. The station is suffering from sediment accumulation around, and in, its intake and suction pipes. The main inflow sources to the reservoir are the Tigris River and run‐off from the valleys within its basin. The reservoir was divided into two parts for the present study, including the upper part near the pumping station (analysed as a two‐dimensional zone), while the lower part was analysed as a one‐dimensional flow to reduce the simulation period computation time (1986–2011). Different operation plans (i.e. pumping rate and water depth) were considered. The results of the depth‐averaged velocity model indicated that when the pumping station was working at a range from the designed full capacity (100% to 25% of its full capacity), the maximum flow velocity increased from 75 to 4 times the normal velocity when there is no pumping dependent on pumping rate and flow depth. For the same operation plans, the flow stream power varied from around zero values to 400 times at full pumping capacity and low flow depth. For sediment routing along the reservoir, the considered statistical criteria indicated the model performance in estimating the total sediment load deposition and invert bed level is much better than in the case of erosion and deposition areas for different considered bed sections of the reservoir.

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Section: Introductionmentioning

confidence: 99%

A numerical study of pumping effects on flow velocity distributions in Mosul Dam reservoir using the HEC‐RAS model

et al. 2020

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Using automatic model calibration for 3D morphological simulations: a case study of the Bodendorf reservoir flushing

Shoarinezhad,

Olsen,

Wieprecht

et al. 2024

Environ Fluid Mech

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Reservoir sedimentation poses a significant challenge to water resource management. Improving the lifespan and productivity of reservoirs requires appropriate sediment management strategies, among which flushing operations have become more prevalent in practice. Numerical modeling offers a cost-effective approach to assessing the performance of different flushing operations. However, calibrating highly parametrized morphological models remains a complex task due to inherent uncertainties associated with sediment transport processes and model parameters. Traditional calibration methods require laborious manual adjustments and expert knowledge, hindering calibration accuracy and efficiency and becoming impractical when dealing with several uncertain parameters. A solution is to use optimization techniques that enable an objective evaluation of the model behavior by expediting the calibration procedure and reducing the issue of subjectivity. In this paper, we investigate bed level changes as a result of a flushing event in the Bodendorf reservoir in Austria by using a three-dimensional numerical model coupled with an optimization algorithm for automatic calibration. Three different sediment transport formulae (Meyer-Peter and Müller, van Rijn, and Wu) are employed and modified during the calibration, along with the roughness parameter, active layer thickness, volume fraction of sediments in bed, and the hiding-exposure parameter. The simulated bed levels compared to the measurements are assessed by several statistical metrics in different cross-sections. According to the goodness-of-fit indicators, the models using the formulae of van Rijn and Wu outperform the model calculated by the Meyer-Peter and Müller formula regarding bed patterns and the volume of flushed sediments.

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Experimental and numerical simulations of the hydraulic flushing of reservoir sedimentation for planning and design of a hydropower project

Cited by 2 publications

References 21 publications

A numerical study of pumping effects on flow velocity distributions in Mosul Dam reservoir using the HEC‐RAS model

A numerical study of pumping effects on flow velocity distributions in Mosul Dam reservoir using the HEC‐RAS model

Using automatic model calibration for 3D morphological simulations: a case study of the Bodendorf reservoir flushing

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