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On the wave attenuation properties of seagrass meadows
Vettori, D.; Pezzutto, P.; Bouma, T.J.; Shahmohammadi, A.; Manes, C. (2024). On the wave attenuation properties of seagrass meadows. Coast. Eng. 189: 104472. https://dx.doi.org/10.1016/j.coastaleng.2024.104472
In: Coastal Engineering: An International Journal for Coastal, Harbour and Offshore Engineers. Elsevier: Amsterdam; Lausanne; New York; Oxford; Shannon; Tokyo. ISSN 0378-3839; e-ISSN 1872-7379, meer
Peer reviewed article  

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Author keywords
    Seagrass meadow; Wave attenuation; Drag coefficient; Nature-based solution

Auteurs  Top 
  • Vettori, D.
  • Pezzutto, P.
  • Bouma, T.J., meer
  • Shahmohammadi, A.
  • Manes, C.

Abstract
    The wave attenuation properties of seagrass meadows were investigated in a flume facility using dynamically-scaled models of seagrass exposed to regular long crested waves. Experiments were conducted for 66 wave conditions and with four plant densities; waves were measured with eight resistance wave gauges. The data collected represent the most-comprehensive dataset of its kind. They reveal that the wave attenuation coefficient ?? of a seagrass meadow reaches a uniform value after a distance of approximately 1.5–3 times the water depth from the meadow start and that both ?? and the drag coefficient ?? depend significantly on the plant density. An improved model of ?? based on the work of Lei and Nepf (2019) is proposed that takes into account the effects of the solid volume fraction of the plant model through a correction on ?? and that of plant density via an effective vegetation frontal area ??−?. The effective vegetation frontal area is described as a power law of the roughness density ??. The model, which was validated with the data of ?? obtained from the laboratory experiments described herein, displays an excellent agreement with data from the literature. It can predict ?? accurately also for cases whereby the maximum wave orbital excursion is comparable with the blade length, despite this condition violates the model’s assumptions. This work provides a comprehensive dataset and a new model that can be used to improve the prediction of wave attenuation of seagrass meadows.

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