Reservoir Sediment Management

Tiğrek, Şahnaz; Aras, Tuçe

doi:10.1201/b11615

Cited by 19 publications

(14 citation statements)

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“…Watershed management of the Tenryu River [31, 32] may be an option for reducing sediment inflow into the river from its basin by regulating land-use types.…”

Section: Discussionmentioning

confidence: 99%

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Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study

Bilal

Dai²,

Larson

et al. 2017

PLoS ONE

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Sediment-dynamics modeling is a useful tool for estimating a dam’s lifespan and its cost–benefit analysis. Collecting real data for sediment-dynamics analysis from conventional field survey methods is both tedious and expensive. Therefore, for most rivers, the historical record of data is either missing or not very detailed. Available data and existing tools have much potential and may be used for qualitative prediction of future bathymetric change trend. This study shows that proxy approaches may be used to increase the spatiotemporal resolution of flow data, and hypothesize the river cross-sections and sediment data. Sediment-dynamics analysis of the reach of the Tenryu River upstream of Sakuma Dam in Japan was performed to predict its future bathymetric changes using a 1D numerical model (HEC-RAS). In this case study, only annually-averaged flow data and the river’s longitudinal bed profile at 5-year intervals were available. Therefore, the other required data, including river cross-section and geometry and sediment inflow grain sizes, had to be hypothesized or assimilated indirectly. The model yielded a good qualitative agreement, with an R2 (coefficient of determination) of 0.8 for the observed and simulated bed profiles. A predictive simulation demonstrated that the useful life of the dam would end after the year 2035 (±5 years), which is in conformity with initial detailed estimates. The study indicates that a sediment-dynamic analysis can be performed even with a limited amount of data. However, such studies may only assess the qualitative trends of sediment dynamics.

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“…Watershed management of the Tenryu River [31, 32] may be an option for reducing sediment inflow into the river from its basin by regulating land-use types.…”

Section: Discussionmentioning

confidence: 99%

“…Dredging of deposited sediments can be performed, especially in the delta area, to modify the shape of the delta and to reduce sedimentation [31] in dead storage capacity. This method, however, cannot be used to remove approximately 5%–10% of sediments owing to its cost and arrangements.…”

Section: Discussionmentioning

confidence: 99%

Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study

Bilal

Dai²,

Larson

et al. 2017

PLoS ONE

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“…The models basically solve the one‐dimensional momentum and continuity equations of water flow, and continuity of sediment in a river–reservoir system. The GSTARS (Generalized Stream Tube Model for Alluvial River Simulation) (USBR, ), HEC‐RAS (US Army Corps of Engineers Hydrologic Engineering Center) (USACE, ), and MIKE 11 and MIKE 21 (Danish Hydraulic Institute) are among the few such models (Morris & Fan, ; Sloff, ; Batuca & Jordan, ; Basson, ; Tiğrek & Aras, , and Schleiss, J., Giovanni, de Cesare, Franca, Mario, J., Pfister, and Michael (Ed. ),, ).…”

Section: Methodsmentioning

confidence: 99%

“…The alternative is sustainable development of water resources projects. Accordingly, an integrated approach for sediment management in reservoirs involving the prediction of erosion, transport and deposition of sediment in reservoirs, evaluating methods for preventing sediment inflow and deposition, and techniques for removing the sediment deposition through reservoir operation (Tiğrek & Aras, 2012) is required. Alternative techniques are being adopted for sediment removal from reservoirs (Lai & Shen, 1996;Morris & Fan, 1997;Shen, 1999;White, 2000;Yang, 2003;Yoon, 1992).…”

Section: Introductionmentioning

confidence: 99%

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

Isaac

Eldho

2019

Lakes & Reservoirs

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Hydropower projects located on rivers transporting heavy sediment loads require design and operation criteria based on sediment management as a means of sustaining the project life. Sediment management is achieved by designing projects as a run‐of‐the‐river scheme, with provision for drawdown flushing, noting hydraulic model simulations are essential for optimizing the design of these projects. Sediment deposition levels are generally predicted with long‐term simulations using 1‐D numerical models, as well as experiments with scaled physical models that simulate drawdown flushing. The present study presents experiments with scaled model and 3‐D numerical model simulations conducted for hydraulic flushing of a reservoir. Experiments were conducted for various durations and discharges to finalize the intake alignment and optimize the flushing. The results of the 3‐D numerical model simulations are in agreement with the results of the experimental study (4%–6% variation). The results also indicate a combination of a 1‐D numerical model for sedimentation and a 3‐D numerical model for flushing can be effectively used to simulate the sedimentation and flushing of reservoirs during the planning and design stages.

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“…These waterbodies are also important habitats of aquatic ecosystems. These waterbodies, however, are threatened by sedimentation (Mulu & Dwarakish, 2015;Tigrek & Aras, 2012). Soil erosion from the catchment and at the shores of the reservoirs and lakes leads to siltation, which can cause increased turbidity, clogging of hydraulic structures and a reduced safety factor for floodwater retention (Lachhab, Booterbaugh, & Beren, 2015).…”

Section: Introductionmentioning

confidence: 99%

Sediment distribution and accumulation in Lake Naivasha, Kenya over the past 50 years

et al. 2019

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Although surface waterbodies are water sources for socio‐economic activities and ecosystems, their functions are threatened by sedimentation. Sedimentation of lakes and reservoirs can result in a loss of storage capacity and altered water quality. The present study assessed the sedimentation status of Lake Naivasha, Kenya, based on sediment distribution and accumulation over the past 50 years, using a Bathymetric Survey System (BSS). The BSS uses multi‐frequency Acoustic Profiling System (APS) to map recently deposited sediments. Sediment core samples were collected with a vibe‐ coring device and dated. Sediment layers corresponding to a period of the past 20 and 50 years were identified. Sediment cores and acoustic images were subsequently used to determine sediment thickness within the lake. The collected depth data from multi‐frequency APS, and dated cores were processed in DepthPic and Surfer software. The sediment depth was extracted in DepthPic, while the sediment volume and distribution were generated from Surfer software. The results from present study indicated that sediment distribution varied from one part of the lake to another for the past 20 and 50 years. High sediment thickness observed in the south‐west and eastern parts of the lake. Between 1996–2016 and 1966–2016 periods, the maximum accumulated sediment thickness was found to be about 0.55 and 1.9 m, with an average sediment thickness of 0.25 and 0.56 m, respectively. The mean sediment load corresponding to the 1966–1996 and 1996–2016 periods was 2.78 × 105 and 4.61 × 105 t/year, respectively. It was found that sediment load into Lake Naivasha has been increasing in the recent past. Based on the present the study, it was found that combined use of BSS, sediment cores and dating can be adopted in many lakes and reservoirs to determine sediment thicknesses even where no prior bathymetric surveys exist for comparison.

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Reservoir Sediment Management

Cited by 19 publications

References 0 publications

Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study

Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study

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

Sediment distribution and accumulation in Lake Naivasha, Kenya over the past 50 years

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