Dune migration and sand transport rates in tidal estuaries: The example of the river elbe

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Zorndt, A.; Wurpts, A.; Schlurmann, T.; Ohle, N.; Strotmann, T.: Dune migration and sand transport rates in tidal estuaries: The example of the river elbe. In: Proceedings of the Coastal Engineering Conference (2010). DOI: https://doi.org/10.9753/icce.v32.sediment.38

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1837

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Sum total of downloads: 70




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Abstract: 
Large parts of the tidal estuary of river Elbe (Germany) are characterized by regular patterns of sand dunes. They are presumed to evolve due to complex sand transport mechanisms and show multi-faceted migration patterns. Direction and magnitude of their migration are influenced by hydrodynamic boundary conditions such as river runoff and tides. Dune Migration can lead to residual sand transport rates, depending on its direction and magnitude and the dune's characteristics. The understanding of dune migration patterns and associated sand transport is the basis of an effective sediment management as well as an important requirement for planning offshore structures. This study focuses on methods for computing migration and sand transport rates in automated ways. In a comparison and validation of different approaches, a cross-correlation technique was found to produce best results. From a unique data set of up to six annual bathymetrical multi-beam soundings between 1995 and 2010, dune characteristics and migration rates were processed and analysed autonomously. The findings show that over the long run, average dune migration and sand transport rates in the present study reach are directed upstream.
License of this version: CC BY 3.0 US
Document Type: article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 41 58.57%
2 image of flag of China China 7 10.00%
3 image of flag of Netherlands Netherlands 6 8.57%
4 image of flag of Korea, Republic of Korea, Republic of 4 5.71%
5 image of flag of United States United States 2 2.86%
6 image of flag of Italy Italy 2 2.86%
7 image of flag of Canada Canada 2 2.86%
8 image of flag of Peru Peru 1 1.43%
9 image of flag of France France 1 1.43%
10 image of flag of Czech Republic Czech Republic 1 1.43%
    other countries 3 4.29%

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