Reservoir sedimentation and estimating dam storage capacity using bathymetry survey: a case study of Abrajit Dam, Upper Blue Nile basin, Ethiopia

Kifelew, Mekash S.; Abebe, Roman

doi:10.1007/s12518-020-00348-x

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Studies in northwestern Ethiopia (Anjeb watershed) revealed SY rates ranging between 2.5 and 157 t/ha/year, higher than the value in this study with a smaller mean value [73]. The bathymetric approach combined with modelling to estimate the SY rate of the Abrajit reservoir was estimated as 47.33 t/ha/year [74]; previous studies reviewing Ethiopia [75] revealed a sediment yield rate value of 26 t/ha/year and a sediment yield rate value of 36.47 t/ha/year in the Fincha watershed [15].…”

Section: Modelling Of Runoff Soil Loss and Sediment Yieldcontrasting

confidence: 63%

Impacts of Best Management Practices on Runoff, Soil Loss, and Sediment Yield in the Megech Watershed, Ethiopia

Admas

Melesse

Abate

et al. 2023

Water

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This study evaluated the best management practices on how to manage soil losses from catchment and reduce sediment load into a dam reservoir. This study aimed to evaluate the relationship of runoff, soil loss, and sediment yield with best management practice (BMP) scenarios in the GeoWEPP environment for the selected three micro-watersheds (hot spot areas) in the Megech watershed, upper Blue Nile Basin. The impacts of four agricultural BMP scenarios, including forest five years old, corn, soybean; wheat, alfalfa (4 yr) no till; corn, soybean, wheat, alfalfa (4 yr) conservation till; and winter wheat mulch till, on soil loss, runoff, and sediment yield were quantified. The results revealed that soil loss ranges between 41.45–66.11 t/ha/year and sediment yield rates ranges between 36.5–54.8 t/ha/year with the baseline situation (conventional tillage condition) were found to be higher than the tolerable soil loss (10 t/ha/year) in the region. Implementing BMPs on the crop land of the micro-watersheds has positive impacts on all variables’ runoff, soil loss, and sediment yield reductions. Among the implemented BMPs, forests with a five-year perennial (agroforestry) option showed the highest rate of reduction for all runoff, soil loss, and sediment yield, but no cost benefit analysis was included in this study to choose among the BMPs. This study also identified that agricultural BMPs play a great role in reducing runoff, soil loss, and sediment yield in the Megech watershed to minimize on- and off-site impacts. In general, it is important to consider how cost benefit analysis will change throughout project’s implementation among the selected BMP scenarios at the watershed level in the future.

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Section: Modelling Of Runoff Soil Loss and Sediment Yieldcontrasting

confidence: 63%

Impacts of Best Management Practices on Runoff, Soil Loss, and Sediment Yield in the Megech Watershed, Ethiopia

Admas

Melesse

Abate

et al. 2023

Water

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“…Numerous bathymetric surveys conducted worldwide have identified significant decreases in reservoir storage capacities (Rowan et al, 1995;Güvel et al, 2017;Darama et al, 2019;Shiferaw and Abebe, 2020;Ugwu et al, 2021;Güvel, 2021;Güvel et al, 2021b). Moreover, in recent years, researchers have increasingly utilized remote sensing data for bathymetry mapping and sedimentation assessment (Jagannathan and Krishnaveni, 2021; Skariah and Suriyakala, 2021).For instance, Taruya and Fuji (1997) conducted a study on reservoir sedimentation in irrigation dams in Japan, analyzing field data from 53 high dams.…”

Section: Introductionmentioning

confidence: 99%

Sedimentation Analysis on Seyhan Dam Reservoir Using Long Term Bathymetry Data

Akgül,

Güvel,

Aksu

2024

Mühendislik Bilimleri Ve Tasarım Dergisi

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In this study, sedimentation in the Seyhan Dam reservoir was investigated by analyzing a long-term bathymetric survey dataset. The focus was on understanding how reservoir capacity changes impact reservoir operation rules. The findings revealed that sedimentation from the main branch of the Seyhan River has largely stopped since the construction of the Çatalan Dam, but sedimentation from the Çakıt branch continues. Furthermore, the study observed changes in the upper basin between 1990 and 2018 based on the CORINE Land Cover (CLC) dataset. The forest area increased from 23.71% to 24.36%, and water bodies expanded from 0.3% to 0.9%. This increase in forest and water bodies contributed to a reduction in sediment flow into the Seyhan Dam reservoir. The researchers used regression analysis and found a high correlation (R2=0.96) between water storage capacity changes and time (in years) at a 67.5-meter water level in the Seyhan Dam Reservoir. Overall, the study's results suggest that the decrease in sediment entering from the main branch of the Seyhan River has significantly improved the sedimentation issue.

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“…(Litovka et al, 2019;Pogorelov, Laguta, 2020;Pogorelov et al, 2021. Note that the above processes are typical for a number of similar hydraulic structures (Zhang Wei et al, 2015;Andjelkovic et al, 2017;Honek et al, 2020;Shiferaw, Abebe, 2021;Li Xin et al, 2023). Of particular interest are studies related to the use of remote sensing (Dalu et al, 2013;Abaev et al, 2022) and having a long follow-up period (Peng, Chen, 2010;Liu, Lv, Li, 2021).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Bottom Topography of the Reservoir Due to Sediment Trapping (According to the Krasnodar Reservoir, Russia)

Pogorelov,

Laguta,

Netrebin

et al. 2023

GES

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Morphometric descriptions of reservoirs are usually limited to the type, shape, altitude position, bed size and volume of water in them. The article presents the results of the analysis of the bottom topography of the Krasnodar reservoir and the transformations of this for 2005-2021. The analysis was carried out based on the materials of bathymetric surveys for the usable volume of the reservoir on an area of 224 km2 with the creation of digital elevation models. The topography of the reservoir bottom is represented by flat sections of flooded accumulative plain with prevailing slopes of about 0.2–0.4°, dissected by riverbeds of lower-order tributaries. The transformation of the topography is caused by gradual silting. The total volume of sediments for this area in 2005-2021 amounted to 127 million m3 with an average siltation layer of 0.4 m. To describe the morphological properties of the bottom topography, we used geomorphometry techniques with the calculation of the BPI index (Bathymetric Position Index) and the classification of mesoscale topography forms based on it. For the riverbed, there are topography forms related to three types of surfaces: flat (Lower Bank Shelves), concave (Depressions, Deep Depressions) and convex (Reef Crests, Back Reefs, Mid-Slope Ridges). The constructed maps reflect the differentiated morphology of the bed surface, the evolution of topography forms and the change in roughness under conditions of continuous transformation of the basin and allow judging the prevailing morphogenetic processes. Morphologically, the coastal zone and the shallow part of the riverbed are the most difficult to construct. Here, along with long-shore reef crests of different genesis, deep depressions and simple depressions in the form of underwater channels on the deltas of extension can form on the accumulative shoal.

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Reservoir sedimentation and estimating dam storage capacity using bathymetry survey: a case study of Abrajit Dam, Upper Blue Nile basin, Ethiopia

Cited by 6 publications

References 13 publications

Impacts of Best Management Practices on Runoff, Soil Loss, and Sediment Yield in the Megech Watershed, Ethiopia

Impacts of Best Management Practices on Runoff, Soil Loss, and Sediment Yield in the Megech Watershed, Ethiopia

Sedimentation Analysis on Seyhan Dam Reservoir Using Long Term Bathymetry Data

Analysis of the Bottom Topography of the Reservoir Due to Sediment Trapping (According to the Krasnodar Reservoir, Russia)

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