Replication Data for: Spatially varying environmental properties controlling observed sand wave morphology, Part 2
Datacite citation style:
Damen, J.M. (John); van Dijk, A.G.P. (Thaïenne); Hulscher, S.J.M.H. (Suzanne) (2020): Replication Data for: Spatially varying environmental properties controlling observed sand wave morphology, Part 2. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:ab110b62-4cf0-4c06-a2ce-a0ef2eaf750a
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Dataset belonging to the publication: Spatially Varying Environmental Properties Controlling Observed Sand Wave Morphology (2017-06-21).
Sand wave morphology and dynamics on continental shelves vary substantially and we hypothesize that these spatial variations depend on local bed properties and hydrodynamic characteristics. To date, process-based modelling studies have not been able to simulate realistic equilibrium sand wave heights and empirical studies are mostly limited to case studies. In order to explain the spatial variation in the morphology of equilibrium sand waves on continental shelves with processes and local bed conditions, a large-scale investigation is required. In this paper, we use high-resolution multibeam echo soundings, hydrodynamic models and databases and sedimentary data for the analysis of respectively sand wave shape characteristics and the comparison to hydrodynamic and sedimentary characteristics for the Netherlands Continental Shelf. The results are quantified lengths, heights and asymmetry of all sand waves in the Dutch part of the North Sea. Furthermore, we show that suspended sediment is a dominant factor in explaining sand wave length, height and asymmetry. Full results of shape characteristics of all sand waves on the Netherlands Continental Shelf together with the tidal velocity, water depth, surface wave height and median grain size are provided in a repository with this paper (URL). These results are highly valuable for applied offshore engineering projects and to modellers for validating their morphodynamic model results.
history
- 2020-01-01 first online, published, posted
publisher
University of Twente
format
media types: application/vnd.google-earth.kml+xml, application/x-7z-compressed, application/x-python-bytecode, text/x-python
references
organizations
Deltares, Delft;University of Twente, Faculty of Engineering Technology Civil Engineering Department of Water Engineering & Management
DATA
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- 5,094 bytesMD5:
6efcf0de5659033e0c6f7c210c5e34de
RiverCare case study locations.kml - 177,780 bytesMD5:
ee67a07625c15efef28ff4040598f399
sandwaves.7z -
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