Different Approach for Using Trap Efficiency for Estimation of Reservoir Sedimentation. An Overview

Mulu, Arega; Dwarakish, G. S.

doi:10.1016/j.aqpro.2015.02.106

Cited by 35 publications

(24 citation statements)

References 6 publications

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“…The suspended sediment load in tons were converted to storage volume considering the density of 1.2 g/m 3 and a correction factor of 1.3 to account for the non-linearity relation of streamflow and suspended sediment on a monthly basis instead of daily basis [27]. The trap efficiency curve developed by Brune [46] considering the correlation of reservoir capacity and inflow ratio [47,48] was adopted for this study. Accordingly, the trap efficiency of 98% was considered to estimate the volume of deposition.…”

Section: Lake Volume Change Due To Sedimentationmentioning

confidence: 99%

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

et al. 2018

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Evaluating the impact of climate change on sediment yield has become one of the major topics in climate research. The purpose of this study was to investigate sediment yield contribution to lake volume change under changing climatic conditions in the Central Rift Valley Basin. The ensemble mean of five regional climate models (RCMs) in the coordinated regional climate downscaling experiment (CORDEX)-Africa was considered for the purpose of this study. The climate variables (precipitation, minimum and maximum temperatures) in RCMs were bias corrected against observed data using linear scaling (LS), power transformation (PT), variance of scaling (VS), and quantile mapping (QM). Two emission scenarios, the Representative Concentration Pathways, RCP4.5 and RCP8.5, were considered for the future scenario period . Better results were obtained when the ensemble values of the bias correction methods were used. Hence, the projected values of climate variables after bias correction were used in the Soil and Water Assessment Tool (SWAT) hydrological model to estimate the sediment yield contribution to lake volume change due to climate change. The results show that the average projected precipitation will decrease by 7.97% and 2.55% under RCP4.5 and RCP8.5, respectively. On average, the maximum temperature will increase by 1.73 • C and 2.36 • C under RCP4.5 and RCP8.5, respectively, while the minimum temperature will increase by 2.16 • C and 3.07 • C under RCP4.5 and RCP8.5, respectively. The average annual sediment yield contributions to Lake Ziway were 431.05 ton/km 2 and 322.82 ton/km 2 for the Meki and Ketar rivers, respectively, in the historical period . The study also reveals that the annual sediment yield that was estimated for the Meki River was 323 ton/km 2 and 382 ton/km 2 under RCP4.5 and under RCP8.5, respectively. The sediment estimations for the Ketar River were 157 ton/km 2 and 211 ton/km 2 under RCP4.5 under RCP8.5, respectively. This will decrease the rate of volume change in Lake Ziway by 38% under RCP4.5 and by 23% under RCP8.5. The results show that the life expectancy of the lake is likely to increase under climate change scenarios. This will help water resources managers make informed decisions regarding the planning, management, and mitigation of the river basins.Hydrology 2018, 5, 67 2 of 18 reservoirs, ponds, and rivers. The sedimentation of the water bodies reduces their capacity and the useful lifespan of the reservoir. Sediment yield can be described as the amount of sediment that would enter into a reservoir located at the outlet of the basin [1]. It is the net result of soil erosion and processes of sediment accumulation, so it depends on variables that control water and sediment discharge to reservoirs [2]. Sediment yield is influenced by many factors, which include topography, soil, climate, land use, and drainage characteristics [3][4][5][6]. The problem of sedimentation is aggravated by human activities and climate change. A study conducted by Belete [7] on Lake Hawasa showed that sediment...

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Section: Lake Volume Change Due To Sedimentationmentioning

confidence: 99%

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

et al. 2018

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“…The trapping efficiency is the total inflowing sediment, in percent, that is accumulated in a reservoir (Waters and Lewis, 2017). This method involves using empirically based curves developed by Brune (1953) and the reservoir capacity-inflow ratio (Mulu and Dwarakish, 2015).…”

Section: Methods Of Survey and Analysismentioning

confidence: 99%

Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018

Gómez-Fragoso¹

2020

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The author thanks the Puerto Rico Electric Power Authority personnel (reservoir operators) for the support provided during the study. Special recognition is made to U.S. Geological Survey (USGS) employee Manuel Rosario (Caribbean-Florida Water Science Center) who provided assistance during collection of data. The author also thanks all other colleagues at the USGS who provided reviews or other support for the completion of this bathymetric study, namely

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“…It directly determines the lifetime of the lake before it is filled in with sediments. TE is frequently studied and quantified for reservoir lakes and non-glacial lakes, but little information on trapping efficiency of proglacial lakes exist (Kummu et al, 2010;Mulu and Dwarakish, 2015). Lake lifetime is a function of sediment delivery, trapping efficiency, and lake volume.…”

Section: Assessment Of Lake Lifetimementioning

confidence: 99%

Formation and future evolution of glacier lakes in Austria (FUTURELAKES)

2019

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Different Approach for Using Trap Efficiency for Estimation of Reservoir Sedimentation. An Overview

Cited by 35 publications

References 6 publications

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

The Effect of Climate Change on Loss of Lake Volume: Case of Sedimentation in Central Rift Valley Basin, Ethiopia

Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018

Formation and future evolution of glacier lakes in Austria (FUTURELAKES)

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