Bedform characterization in river channel through 2D spectral analysis
Lisimenka, A.; Rudowski, S. (2013). Bedform characterization in river channel through 2D spectral analysis, in: Van Lancker, V. et al. (Ed.) MARID 2013: Fourth International Conference on Marine and River Dune Dynamics. Bruges, Belgium, 15-17 April 2013. VLIZ Special Publication, 65: pp. 177-181
In: Van Lancker, V.; Garlan, T. (Ed.) (2013). MARID 2013: Fourth International Conference on Marine and River Dune Dynamics. Bruges, Belgium, 15-17 April 2013. VLIZ Special Publication, 65. Royal Belgian Institute of Natural Sciences/SHOM/Flanders Marine Institute (VLIZ): Oostende. ISBN 978-2-11-128352-7. 338 pp., more
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, more
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| Authors | | Top |
- Lisimenka, A.
- Rudowski, S.
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| Abstract |
During last decades a multibeam echosounder has become a widely used tool for a high resolution, rapid and, first of all, cost-effective mapping of submerged environments. At the present time, wealthy literature related to the bedform characterization based on the multibeam swath bathymetry systems data collected in different aquatic areas all over the World exist. In this paper, results of the recent bathymetry investigations in the main Vistula river mouth - the Cross-cut artificial channel, which were performed several times during 2009-2012 years are presented. The comprehensive riverbed morphology of the channel is characterized by the set of the different kinds and patterns of sandy bedforms. A detailed analysis of the bottom roughnesses in conjunction with a quantitative parameterization of the primary geometrical characteristics of the bedforms based on two-dimensional spectral analysis (2D FFT) are executed. The obtained results indicates significant changes of the morphology and bedform patterns which are very important in order to estimate and verify the bedload sediment transport phenomena andhydrodynamic processes connected with. Moreover, such information is required for predicting of the flood possibility related to riverine and sea storm surges in the area of interest. |
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