Characteristics of sediment profiles in reservoirs

Matyas, Elmer L.; Rothenburg, L.

doi:10.1016/0022-1694(86)90113-7

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…As expected, greater amounts of sediment are located nearer to the inlets than more distant areas (Figure 4). Matyas and Rothenburg detailed how the sediment was likely to be distributed in reservoirs, and observations from our two study lakes verified similar trends [8]. There may be some additional, localized sediment impacts, but much of the sediment appeared to be influenced by aspects within each watershed.…”

Section: Resultssupporting

confidence: 52%

“…Aging of these waters, including sediment influx naturally occurs over time, but can be accelerated by upstream influences such as overgrazing by livestock and road building practices [8,16,17]. Today's users are directly impacted by the buildup of sediment and how it affects their recreation.…”

Section: Introductionmentioning

confidence: 99%

“…Mounting evidence for appropriate watershed planning can assist or prolong the life expectancy of any given reservoir and its tendency to fill in with sediment. Deposition of sediment within a reservoir has been predicted through modeling processes but remains stochastic in nature in regards to natural fluctuations of inflow, water level, sediment concentrations and climatic conditions [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

Simpson

2014

IJGI

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Sedimentation is a problem for all reservoirs in the Black Hills of South Dakota. Before working on sediment removal, a survey on the extent and distribution of the sediment is needed. Two sample lakes were used to determine which of three interpolation methods gave the most accurate volume results. A secondary goal was to see if fewer samples could be taken while still providing similar results. The smaller samples would mean less field time and thus lower costs. Subsamples of 50%, 33% and 25% were taken from the total samples and evaluated for the lowest Root Mean Squared Error values. Throughout the trials, the larger sample sizes generally showed better accuracy than smaller samples. Graphing the sediment volume estimates of the full sample, 50%, 33% and 25% showed little improvement after a sample of approximately 40%-50% when comparing the asymptote of the separate samples. When we used smaller subsamples the predicted sediment volumes were normally greater than the full sample volumes. It is suggested that when planning future sediment surveys, workers plan on gathering data at approximately every 5.21 meters. These sample sizes can be cut in half and still retain relative accuracy if time savings are needed. Volume estimates may slightly suffer with these reduced samples sizes, but the field work savings can be of benefit. Results from these surveys are used in prioritization of available funds for reclamation efforts.

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Section: Resultssupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

Simpson

2014

IJGI

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“…The effects of sedimentation on reservoirs are known and well documented (Bondurant and Liversey, 1973;Cyberski, 1973;Dendy et al, 1973;Matyas and Rothenburg, 1986). The most obvious impact of sediment in reservoirs is the cumulative loss of storage capacity, affecting both the operational plan of the reservoirs and the economic model of planned investments based on reservoir use.…”

Section: Introductionmentioning

confidence: 99%

INTEGRATED ECHO SOUNDER, GPS, AND GIS FOR RESERVOIR SEDIMENTATION STUDIES: EXAMPLES FROM TWO ARKANSAS LAKES¹

Odhiambo¹,

Boss

2004

J American Water Resour Assoc

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Bathymetric and sedimentation surveys were conducted using a dual frequency (28/200 kHz) echo sounder system in two reservoirs (Lee Creek Reservoir and Lake Shepherd Springs) in the Ozark Plateau of northwestern Arkansas. Echo sounder survey data were merged within geographic information system (GIS) software to provide detailed visualization and analyses of current depths, pre‐impoundment topography, distribution, thickness, and volume estimates of lacustrine sediment, time averaged sediment accumulation rates, long term average annual sediment flux, and water storage capacity. Calculated long term average sediment accumulation rates were used to model sediment infilling and projected lifetimes of each reservoir. Results from echo sounder surveys and GIS analyses suggest that the Lee Creek Reservoir has a projected lifetime of approximately 500 years compared to a projected lifetime for Lake Shepherd Springs of approximately 3,000 years. Estimated differences in projected lifetimes of these reservoirs reflected differences in initial reservoir volume and long term average annual sediment flux from the respective watersheds related to watershed area, physiography, land cover, and land use. The universal soil loss equation (USLE) model generated sediment fluxes an order of magnitude larger from the watersheds of both reservoirs compared to the geophysical data estimates. This study demonstrated the utility of merging geophysical survey (echo sounder) data within a GIS as an aid to understanding patterns of reservoir sedimentation. These data and analyses also provide a baseline relevant to understanding sedimentation processes and are necessary for development of long term management plans for these reservoirs and their watersheds.

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A probabilistic sedimentation analysis for predicting reservoir lifetime

Gani

Yakowitz

1989

Water Resour Manage

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Characteristics of sediment profiles in reservoirs

Cited by 6 publications

References 3 publications

Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

INTEGRATED ECHO SOUNDER, GPS, AND GIS FOR RESERVOIR SEDIMENTATION STUDIES: EXAMPLES FROM TWO ARKANSAS LAKES¹

A probabilistic sedimentation analysis for predicting reservoir lifetime

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Characteristics of sediment profiles in reservoirs

Cited by 6 publications

References 3 publications

Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

Accuracy and Effort of Interpolation and Sampling: Can GIS Help Lower Field Costs?

INTEGRATED ECHO SOUNDER, GPS, AND GIS FOR RESERVOIR SEDIMENTATION STUDIES: EXAMPLES FROM TWO ARKANSAS LAKES1

A probabilistic sedimentation analysis for predicting reservoir lifetime

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Product

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INTEGRATED ECHO SOUNDER, GPS, AND GIS FOR RESERVOIR SEDIMENTATION STUDIES: EXAMPLES FROM TWO ARKANSAS LAKES¹