Browsing by Subject "bedforms"

Now showing 1 - 2 of 2
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    Hydrokinetic turbine array performance and geomorphic effects under different siting strategies and sediment transport conditions: topography, flow velocity and array performance measurements
    (2019-06-27) Musa, Mirko; Hill, Craig; Guala, Michele; mguala@umn.edu; Guala, Michele; Saint Anthony Falls Laboratory, CEGE, University of Minnesota
    Hydrokinetic energy can be extracted efficiently from naturally occurring water flows. Although representing a continuous and ubiquitous source of kinetic energy, rivers in particular are delicate environments, sensitive to external disturbances. Asymmetric installation of in-stream hydrokinetic energy converters have proven to actively interact with sediment transport and bedforms characteristics, triggering non-local geomorphic effects that resemble river instabilities known as forced-bars. This data-set comprises a series of measurements of channel topography evolution, flow velocity around the turbines and array performance under different configurations.
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    Measurements of spatio-temporal fluvial channel bed evolution and sediment transport rate under four different bedload dominant transport conditions in the SAFL main channel
    (2022-01-03) Lee, Jiyong; Arvind, Singh; Guala, Michele; mguala@umn.edu; Guala, Michele; Turbulent Boundary Layer plus research team
    Accurate prediction of sediment transport rate is important for understanding of fluvial channel evolution. Yet, our understanding on the sediment transport processes is far from clear due to their large spatio-temporal variability, and complex interaction with flow dynamics and channel morphology. Assuming the most of sediment is transported by migrating bedforms, we study how various scales of migrating bedforms contribute to sediment transport. Our experiments suggest that small, secondary ripples on the bed surface emerge as the main contributor to the sediment transport. In addition, we find that the sediment transport rate can be accurately estimated based on spectral descriptions of temporal bed elevation statistics. This data archive includes synchronized three independent measurements under four different bedload dominant transport conditions: volumetric sediment flux time series, bed elevation timeseries at fixed locations, and 2D spatio-temporal bed evolution.