2018
DOI: 10.1016/j.jher.2018.03.001
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Boussinesq modeling of solitary wave run-up reduction by emergent vegetation on a sloping beach

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Cited by 33 publications
(3 citation statements)
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“…Tang et al (2013) uses the Nonlinear Shallow Water Equations (NSWE) to model effects of solitary wave dissipation due to coastal forest in a sloping bottom. Yao et al (2018) study the dissipation of wave due to vegetation in a sloping beach by using extended Boussinesq. Huang et al (2011) performed physical experiments to investigate dissipation of solitary wave due rigid vegetation in a flume with a flat bottom and followed numerical simulation by using Boussinesq type of model.…”
Section: Physicalmentioning
confidence: 99%
“…Tang et al (2013) uses the Nonlinear Shallow Water Equations (NSWE) to model effects of solitary wave dissipation due to coastal forest in a sloping bottom. Yao et al (2018) study the dissipation of wave due to vegetation in a sloping beach by using extended Boussinesq. Huang et al (2011) performed physical experiments to investigate dissipation of solitary wave due rigid vegetation in a flume with a flat bottom and followed numerical simulation by using Boussinesq type of model.…”
Section: Physicalmentioning
confidence: 99%
“…Despite their high accuracy, these equations are not entirely practical for modeling since they are complicated and require finer grids to simulate, making them computationally expensive [21]. Another model that could be used is the Boussinesq-type equations [22]- [27]. Solving these equations requires dealing with higher-order derivative terms, which are difficult to handle.…”
Section: Introductionmentioning
confidence: 99%
“…Because some features in the tsunami events (such as the stable hump-like waveforms after a long distance of propagation) can be well simulated by solitary waves, lots of experimental, numerical and theoretical investigations on solitary waves have been associated to tsunamis for decades (e.g., Camfield and Street (1969); Goring (1978); Hsiao et al (2008); Liu et al (1995); Lo et al (2013); Seiffert et al (2014); Synolakis (1987); Yao et al (2018a); Yao et al (2018b)).…”
Section: Introductionmentioning
confidence: 99%