3D Modeling of Morphological Changes Using Representative Waves

Chonwattana, Somchai; Weesakul, Sutat; Vongvisessomjai, Suphat

doi:10.1142/s0578563405001240

Cited by 8 publications

(10 citation statements)

References 11 publications

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“…Model verification against field measurements was achieved by simulating the beach evolution at Rethimno coast (north Crete, Greece) where shoreline data are available and at Sangjun beach (Thailand) where 2D morphological data are available by Chonwattana and Weesakul (2005).…”

Section: Applicationsmentioning

confidence: 99%

“…The present model was also applied to study the morphological evolution in a groin compartment due to wave-induced sediment transport for a study area with high-quality field data by Chonwattana and Weesakul (2005). The study area, Sangjun beach, is a tourist area located in Thailand.…”

Section: Applicationsmentioning

confidence: 99%

“…three equivalent wave heights on an annual basis), which were determined by Chonwattana and Weesakul (2005) using a similar method to that of Borah and Balloffet (1985) (Equation 20). The calculated representative waves are shown in Table 1.…”

Section: Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

Numerical simulation of wave-induced morphology evolution

Karambas

Koutandos

Kampanis

2013

Proceedings of the Institution of Civil Engineers - Maritime En

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This paper presents an integrated coastal engineering numerical model. The model simulates the linear wave propagation, wave-induced circulation, sediment transport and bed morphology evolution. The model consists of three main modules:Wave-LS, Wave-L and Coast. The large-scale module Wave-LS is based on the numerical solution of the directional wave energy balance equation. The near-shore wave transformation module Wave-L is based on the hyperbolic-type mild slope equation and is valid for a compound wave field near coastal structures where the waves are subjected to the combined effects of shoaling, refraction, diffraction, reflection (total and partial) and breaking. Radiation stress components (estimated from the large-scale module as well as from the hyperbolic wave module) drive the depth-averaged circulation module Coast for the description of the near-shore currents and sediment transport in the surf and swash zone. The module Coast is coupled with a three-dimensional bed evolution module to predict coastal bathymetry changes.

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Section: Applicationsmentioning

confidence: 99%

Section: Applicationsmentioning

confidence: 99%

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Numerical simulation of wave-induced morphology evolution

Karambas

Koutandos

Kampanis

2013

Proceedings of the Institution of Civil Engineers - Maritime En

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“…Herein are presented six of them. The first one was presented by Vongvisessomjai et al (1983) (Chonwattana et al, 2005), and was adapted from the Coastal Engineering Manual (2002) formula. In this formulation the longshore sediment transport is proportional to the wave characteristics in deep water.…”

Section: Longshore Sediment Transportmentioning

confidence: 99%

Sediment Transport Modelling and Morphological Trends at a Tidal Inlet

Plecha¹,

Silva²,

Oliveira³

et al. 2011

Sediment Transport in Aquatic Environments

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“…Chonwattana et al . [] proposed an improved method that conserves wave energy flux. Recently, Walstra et al .…”

Section: Introductionmentioning

confidence: 99%

A multiscale climate emulator for long‐term morphodynamics (MUSCLE‐morpho)

et al. 2016

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Interest in understanding long‐term coastal morphodynamics has recently increased as climate change impacts become perceptible and accelerated. Multiscale, behavior‐oriented and process‐based models, or hybrids of the two, are typically applied with deterministic approaches which require considerable computational effort. In order to reduce the computational cost of modeling large spatial and temporal scales, input reduction and morphological acceleration techniques have been developed. Here we introduce a general framework for reducing dimensionality of wave‐driver inputs to morphodynamic models. The proposed framework seeks to account for dependencies with global atmospheric circulation fields and deals simultaneously with seasonality, interannual variability, long‐term trends, and autocorrelation of wave height, wave period, and wave direction. The model is also able to reproduce future wave climate time series accounting for possible changes in the global climate system. An application of long‐term shoreline evolution is presented by comparing the performance of the real and the simulated wave climate using a one‐line model.

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3D Modeling of Morphological Changes Using Representative Waves

Cited by 8 publications

References 11 publications

Numerical simulation of wave-induced morphology evolution

Numerical simulation of wave-induced morphology evolution

Sediment Transport Modelling and Morphological Trends at a Tidal Inlet

A multiscale climate emulator for long‐term morphodynamics (MUSCLE‐morpho)

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