Computation of Lake or Reservoir Sedimentation in Terms of Soil Erosion

Hrissanthou, Vlassios

doi:10.5772/22631

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…The amount of sediments reaching annually to the catchment outlet due to soil erosion is influenced by many reasons such as the length of overland flow and catchment area (Boyce, 1975;Hrissanthou, 2011). For proper sediment management, it is important to understand the sediment connectivity which describes the spatiotemporal variation of sediment transport across the catchment (Najafi et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Assessment of current reservoir sedimentation rate and storage capacity loss: An Italian overview

Patro

Michele

Granata

et al. 2022

Journal of Environmental Management

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Section: Discussionmentioning

confidence: 99%

Assessment of current reservoir sedimentation rate and storage capacity loss: An Italian overview

Patro

Michele

Granata

et al. 2022

Journal of Environmental Management

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“…The sediment delivery ratio (percentage of eroded soil amount that reaches the watershed outlet on an annual basis) to water bodies is impacted by various factors including drainage area and overland flow length [76,77]. On average, more time and opportunity are available for eroded soil to deposit in larger watersheds before reaching reservoirs located far downstream in a catchment.…”

Section: Resultsmentioning

confidence: 99%

Examining Storage Capacity Loss and Sedimentation Rate of Large Reservoirs in the Central U.S. Great Plains

Rahmani

Kastens

deNoyelles

et al. 2018

Water

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Reservoirs created by impounding sediment-laden streams infill over time, reducing storage capacity and altering water quality. Increasing freshwater demand on a limited supply is adding pressure on reservoir water storage and management across much of the western and central U.S. Determining sedimentation rates is helpful to ensure a reliable and sustainable clean water supply for drinking, irrigation and recreation purposes. In the state of Kansas, located in the central Great Plains, bathymetric surveys have been completed recently for many major state and federally constructed reservoirs. In this paper, we examine sediment infill rate and storage capacity loss for all 24 federally operated reservoirs in Kansas. As of 2016, these reservoirs have an average age of 52 years and collectively have lost approximately 17% of their original capacity, with the highest single-reservoir loss of 45%, the highest annual loss rate of 0.84%, and the highest annual sediment yield of 1688 m3/km2/year. Results from this paper provide baseline information pertinent to the development, prioritization and assessment of remediation and mitigation strategies for addressing the sediment infill problem in Kansas, with general implications for other large reservoirs across the Great Plains as well as other climatologically and ecologically similar regions around the world.

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“…As it is mentioned in [56], mathematical simulation models consist of three sub-models: (a) Rainfall-runoff submodel, (b) a soil erosion sub-model and (c) a stream sediment transport sub-model. All three sub-models should be considered, but in this case, it was not done, because relevant data for stream sediment transport sub-model was not possible to obtain.…”

Section: Discussionmentioning

confidence: 99%

“…However, this part of the available sediments in the catchment should be taken into account [56], but because of the conditions mentioned above, there was not done. On the other hand, during the three-years monitoring time there was found depositions of sediment in one inlet part of the reservoir (the longest contributing creek), that confirm flow stream erosion, but their volume is not significant.…”

Section: Discussionmentioning

confidence: 99%

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

Németová

Honek

Kohnová

et al. 2020

Water

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The testing of a model performance is important and is also a challenging part of scientific work. In this paper, the results of the physically-based EROSION-3D (Jürgen Schmidt, Berlin, Germany) model were compared with trapped sediments in a small reservoir. The model was applied to simulate runoff-erosion processes in the Svacenický Creek catchment in the western part of the Slovak Republic. The model is sufficient to identify the areas vulnerable to erosion and deposition within the catchment. The volume of sediments was measured by a bathymetric field survey during three terrain journeys (in 2015, 2016, and 2017). The results of the model point to an underestimation of the actual processes by 30% to 80%. The initial soil moisture played an important role, and the results also revealed that rainfall events are able to erode and contribute to a significant part of sediments.

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Computation of Lake or Reservoir Sedimentation in Terms of Soil Erosion

Cited by 6 publications

References 23 publications

Assessment of current reservoir sedimentation rate and storage capacity loss: An Italian overview

Assessment of current reservoir sedimentation rate and storage capacity loss: An Italian overview

Examining Storage Capacity Loss and Sedimentation Rate of Large Reservoirs in the Central U.S. Great Plains

Validation of the EROSION-3D Model through Measured Bathymetric Sediments

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