Οptimum volumetric computation of fluvial sediment deposits in reservoirs by comparative analysis of different hydrographic survey methodologies

Zarris, D; Lykoudi, E.

doi:10.9790/0990-0503017580

Cited by 5 publications

(3 citation statements)

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“…Because measurements of sediment deposits do not include generalized statistical models of sediment erosion and transport, reservoir sedimentation survey methods are more useful and representative than the other approaches (Bombino et al 2022;Issa 2015). A bathymetry survey is a more exact indirect approach to evaluating the volume deposited and its pattern in reservoirs than a geophysical survey (Maina et al 2018;Zarris and Lykoudi 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of reservoir sedimentation using bathymetry survey: a case study on Adebra night storage reservoir, Ethiopia

et al. 2022

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Reservoir sedimentation is a serious challenge that reduces reservoir life. Because it decreases the initial capacity of the reservoir and has an impact on drinking water supply, irrigation, and hydropower activities. Inadequate land activities and poor management techniques cause soil erosion and reduce reservoir storage capacity. As a result, accurate sediment estimation was assist in the adoption of sustainable land-use activities and best management practices that lead to effective reservoir operations. The main objective of this study was to evaluate the rate of sedimentation and remaining capacity of Adebra night storage reservoir (NSR) using a bathymetric survey and Arc-GIS 10.8. A comparison of original and current reservoir capacity was used to evaluate the quantity of sediment deposition in the reservoir. The latter was developed using Arc-GIS 10.8 and a bathymetry survey that was used to develop the TIN surface and evaluate reservoir volume. The Adebra NSR reservoir capacity was decreased by the accumulation of sedimentation from 36,902 m3 in 2012 to 27,722 m3 in 2020. The results of this study showed that the Adebra night storage reservoir had lost on average 24.8% of its capacity due to sedimentation, during 8 years of operation. The average deposition rate of sedimentation in Adebra NSR was estimated to be 1147.5 m3/year, with a loss rate of 3.1% per year. The value of sedimentation rates found in live storage of the reservoir area was 1147.5 m3/year. At the current time, the expected life of the night storage reservoir was reduced due to a lack of proper soil conservation practices in the reservoir catchment areas. In general, the study finding showed that the capacity of NSR was reduced by the accumulation of sedimentation year to year throughout the design period. Therefore, to improve the capacity of NSR should be planning and implementing different techniques of sediment control and removal, depending on the estimation of sediment production from watersheds of inlets and outlets of reservoirs.

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Section: Introductionmentioning

confidence: 99%

Evaluation of reservoir sedimentation using bathymetry survey: a case study on Adebra night storage reservoir, Ethiopia

et al. 2022

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“…Extreme high yields in the range 10,000-50,000 are reported for basins in China, Java, Kenya, New Guinea, and New Zealand (Dargahi, 2012) The rate of loss to the storage capacity depends on the sediment yield of the river on which a reservoir is built, the morphologic factors of the reservoir, and the operational scheme of a project (Sundborg & White, 1982;Terakawa, 2003;White, 2005). Globally, the overall annual loss of reservoir storage capacity is estimated at 1 to 2% of the total storage capacity (Schleiss et al, 2008;Zarris & Lykoudi, 2017). In 1989, China's large and medium-sized reservoirs had a total loss of 11.5 billion m 3 , accounting for 14.3% of the total capacity of 80.4 billion m 3 (Terakawa, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…The reservoir storage capacity loss and the periodic sedimentation rate are determined from the past and current bathymetric survey results or the status of sedimentation rate (Zarris & Lykoudi, 2017). The capacities and surface area differences derived from numerous bathymetric surveys for a reservoir provide an estimate of water capacity loss over time due to sediment deposition (Iradukunda et al, 2020;White, 2005).…”

Section: Introductionmentioning

confidence: 99%

Reservoir sedimentation and its effect on storage capacity – A case study of Murera reservoir, Kenya

Iradukunda¹,

Bwambale

2021

Cogent Engineering

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Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia

Leta

Waseem

Rehman

et al. 2023

Environ Monit Assess

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Sediment yield estimation along with identification of soil erosion mechanisms is essential for developing sophisticated management approaches, assessing, and balancing different management scenarios and prioritizing better soil and water conservation planning and management. At the watershed scale, land management practices are commonly utilized to minimize sediment loads. The goal of this research was to estimate sediment yield and prioritize the spatial dispersion of sediment-producing hotspot areas in the Nashe catchment using the Soil and Water Assessment Tool (SWAT). Moreover, to reduce catchment sediment output, this study also aims to assess the effectiveness of certain management practices. For calibration and validation of the model, monthly stream flow and sediment data were utilized. The model performance indicators show good agreement between measured and simulated stream flow and sediment yields. The study examined four best management practice (BMP) scenarios for the catchment’s designated sub-watersheds: S0 (baseline scenario), S1 (filter strip), S2 (stone/soil bunds), S3 (contouring), and S4 (terracing). According to the SWAT model result, the watershed’s mean yearly sediment output was 25.96 t/ha. yr. under baseline circumstances. The model also revealed areas producing the maximum sediment quantities indicating the model’s effectiveness for implementing and evaluating the sensitivity of sediment yield to various management strategies. At the watershed scale, treating the watershed with various management scenarios S1, S2, S3, and S4 decreased average annual sediment yield by 34.88%, 57.98%, 39.55%, and 54.77%, respectively. The implementations of the soil/stone bund and terracing scenarios resulted in the maximum sediment yield reduction. The findings of this study will help policymakers to make better and well-informed decisions regarding suitable land use activities and best management strategies.

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Οptimum volumetric computation of fluvial sediment deposits in reservoirs by comparative analysis of different hydrographic survey methodologies

Cited by 5 publications

References 0 publications

Evaluation of reservoir sedimentation using bathymetry survey: a case study on Adebra night storage reservoir, Ethiopia

Evaluation of reservoir sedimentation using bathymetry survey: a case study on Adebra night storage reservoir, Ethiopia

Reservoir sedimentation and its effect on storage capacity – A case study of Murera reservoir, Kenya

Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia

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