Numerical study on wave attenuation of extreme waves by emergent rigid vegetation patch

Qu, Keqing; Lan, G. Y.; Sun, Wenbin; Jiang, Changbo; Yao, Yu; Wen, Bo; Xu, Y.Y.; Liu, T.W.

doi:10.1016/j.oceaneng.2021.109865

Cited by 15 publications

(3 citation statements)

References 52 publications

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“…In the vertical direction, 40 σ-mesh layers are applied. As suggested by Jiang et al [75] and Qu et al [63], the drag coefficient (C D ) is set as 1.2 for all computational runs. Figure 5 depicts the spatial distributions of the averaged wave heights under different parameter setups.…”

Section: Regular Waves Propagating Over Rigid Vegetation Patchmentioning

confidence: 99%

“…In the real-harsh coastal environment, although the focused waves often occur unexpectedly, their large wave heights can cause massive damages to the coast [59] and impose huge impacting loads at coastal infrastructures, i.e., cylinders [60], seawall [61], and bridges [62]. Recently, complicated interactions between the focused wave groups and emergent rigid vegetation patch on the flat bed were investigated by Qu et al [63]. However, influences of coastal vegetation on the wave runup processes of the focused wave group have not been well understood.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Analysis on Influences of Emergent Vegetation Patch on Runup Processes of Focused Wave Groups

Lie

Wang

et al. 2022

JMSE

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During severe weather, the runup of the devasting surges and waves can cause extensive damages to the coastal facilities and results in significant loss of life. Therefore, it becomes necessary to find reliable measures to reduce the wave runup in coastal regions. As a natural barrier to the shorelines, coastal vegetation has great potential to attenuate wave runup and to prevent the coastal communities from extreme floodings and huge land loss. This study numerically discusses the influences of the emergent vegetation patch on the runup processes of extreme wave groups by applying a nonhydrostatic flow solver. Influences of the major factors, i.e., water depth, peak wave period, significant wave height, and density and length of the vegetation patch, are analyzed in detail. Research findings indicate that the presence of the emergent vegetation patch can substantially dissipate most of the incident wave energy and effectively reduce the maximum wave runup heights of extreme wave groups at the sloped beach. It is hoped that the research results of this study will be helpful to the design of coastal soft protection measures.

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Section: Regular Waves Propagating Over Rigid Vegetation Patchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Analysis on Influences of Emergent Vegetation Patch on Runup Processes of Focused Wave Groups

Lie

Wang

et al. 2022

JMSE

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“…In more recent studies, Shu et al (2023) [8] studied wave energy reduced by artificial bamboo fences in the laboratory scales, concluding the effect of wave transmission on the wave steepness and the nonlinearity, but the fence's thickness on wave transmission is still hindered. Mancheno et al (2023) [9] and Qu et al (2023) [10] applied the open-source non-hydrostatic model to study wave attenuation over emergent rigid cylinders, which consider wooden fences and vegetations, respectively. While Qu et al (2023) focused on using a numerical model (NHWAVE) to get a further understanding of vegetation densities and width on wave transmission, Mancheno et al (2023) then used the SWASH model to study the effect of distance between cylinders on wave reductions.…”

Section: Introductionmentioning

confidence: 99%

Effect analysis of wooden fence width on wave transmission by SWASH model

Mai,

Dao,

Ngo

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Wooden fences, a permeable structure, have become a nature-based solution for supporting traditional structures to restore mangrove forests along the Mekong deltaic coasts. Even though prior studies have explored a number of hydraulic functions of these fences, an in-depth investigation into the influence of fence width on wave dissipation and damping is needed to consider. Therefore, this paper employs a numerical approach to thoroughly examine the impact of fence width on wave damping. The findings illustrate the substantial role of fence width in governing the dissipation of incoming waves. The correlation between the transmission coefficient and the fence width is established. This relationship also concludes that the larger the fence thicknesses, the lower the transmission coefficients. Notably, the study also identifies that the transmission coefficient experiences a slight decline beyond a certain width threshold.

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Predicting the drag coefficient of coastal trees using Support Vector Machines and boosting ensemble models

Haghdoost,

Md Azamathulla

2024

Discov Water

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The effect of green belts on wave absorption is a critical aspect of coastal protection strategies. The effectiveness of green belts in wave absorption is influenced by factors such as the type of vegetation used, the density and width of the green belt, and the topography of the coastline. The current study aims to explore the performance of various intelligent tools, including SVM (Support Vector Machine), ABR (Ada Boost Regression), ETR (Extra Trees Regression), GBR (Gradient Boosting Regression), and RF (Random Forest), to forecast drag coefficients of coastal trees (C D ). In this direction, four dimensionless parameters of relative wave height (H/d), vegetation density (D), coastal shoreline slope (S), and wave propagation velocity (u/ √ E∕ ) were assumed as input parameters, and C D was considered as the target. To evaluate the performance of developed soft computing models, various statistical indicators and graphical plots including Violin, Tylor, and Scatter were applied. The results revealed that the ETR method outperforms existing machine learning techniques with statistical results of R 2 = 0.996, RMSE = 0.003, MAE = 0.002, and SI = 0.014. In addition, the Tylor diagram indicates that the distance index obtained using the ETR model exhibited a high alignment with actual data, especially in comparison with alternative tools. Article highlights• The drag coefficient of coastal trees (C d ) is predestined.• SVM (Support Vector Machine), ABR (Ada Boost Regression), ETR (Extra Trees Regression), GBR (Gradient Boosting Regression), and RF (Random Forest) were applied. • ETR showed better prediction accuracy and higher prediction reliability than SVM, RF, ABR, and GBR.

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Numerical study on wave attenuation of extreme waves by emergent rigid vegetation patch

Cited by 15 publications

References 52 publications

Numerical Analysis on Influences of Emergent Vegetation Patch on Runup Processes of Focused Wave Groups

Numerical Analysis on Influences of Emergent Vegetation Patch on Runup Processes of Focused Wave Groups

Effect analysis of wooden fence width on wave transmission by SWASH model

Predicting the drag coefficient of coastal trees using Support Vector Machines and boosting ensemble models

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