Development of an outdoor wave basin to conduct long-term model tests with real vegetation for green coastal infrastructures

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Michalzik, J.; Liebisch, S.; Schlurmann, T.: Development of an outdoor wave basin to conduct long-term model tests with real vegetation for green coastal infrastructures. In: Journal of Marine Science and Engineering 7 (2019), Nr. 1, 18. DOI:

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Sum total of downloads: 53

The demand for physical model tests with real vegetation is increasing due to the current trend to elucidate the performance and durability of green coastal infrastructures to ensure and promote ecosystem services. To address this demand, a new outdoor wave basin (OWB) was built in August 2017 at the Ludwig-Franzius-Institute in Hannover, Germany. This paper reviews the general characteristics and the ongoing development of the new OWB. First insights into the long-term development of the ecosystem services of different grass revetments are discussed in terms of their ecological value and safety standards of sea dikes. Focus is placed on the resistance and ecological value of different grass mixtures that are typically applied on sea dikes situated along the North Sea. Further research concepts are briefly described to highlight how experiments in the new OWB may contribute to the current understanding and design recommendations of green coastal infrastructures. The operation of the OWB enables the performance of long-term experiments over seasonal growth stages of coastal vegetation using either fresh or seawater with wave load stresses and varying sea water levels. The first conducted experiments with different grass revetment combinations mimic typical storm surge conditions with a constant wave load (with a duration of up to 10 hours every second week) on a natural dike
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 33 62.26%
2 image of flag of United States United States 5 9.43%
3 image of flag of Russian Federation Russian Federation 3 5.66%
4 image of flag of Czech Republic Czech Republic 3 5.66%
5 image of flag of China China 3 5.66%
6 image of flag of Canada Canada 2 3.77%
7 image of flag of No geo information available No geo information available 1 1.89%
8 image of flag of Malaysia Malaysia 1 1.89%
9 image of flag of India India 1 1.89%
10 image of flag of France France 1 1.89%

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