Reduction in wave shoaling over a linear transition bottom using a porous medium

• We analyzed the wave shoaling phenomenon for porous structures. • We modified the existence of porous media shallow water equations. • We used the separation variable method to obtain the wave transmission coefficient. • We also apply a staggered finite volume method to solve the model numerically. • Mangroves substantially reduced wave shoaling amplitudes. • Therefore, mangroves act as an emerging porous breakwater. Wave shoaling, which involves an increase in wave amplitude due to changes in water depth, can damage shorelines. To mitigate this damage, we propose using porous structures such as mangrove forests. In this study, we use a mathematical model to examine how mangroves, acting as a porous breakwater, can reduce wave shoaling amplitude. Shallow water equations are used as the governing equations and are modified to account for the presence of porous media. To measure the wave reduction generated by the porous media, the wave transmission coefficient is estimated using analytical and numerical approaches. The separation of variables method and the staggered finite volume method are utilized for each approach, respectively. The numerical results are then validated against the previously obtained analytical solutions. We then vary the friction and porosity parameters, influenced by the presence and extent of porous media, to evaluate their effectiveness in reducing wave shoaling.

Authors

Institutions

Publication Details

Journal
Theoretical and Applied Mechanics Letters
Published
2024-10-13
DOI
https://doi.org/10.1016/j.taml.2024.100556
Citations
3
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reduction in wave shoaling over a linear transition bottom using a porous medium

Imam Solekhudin, Ivan Jonathan Kristianto, Ikha Magdalena, Cherdvong Saengsupavanich et al.
3 citations
Theoretical and Applied Mechanics Letters
Arctic and Antarctic ice dynamics
1.13
article

Reduction in wave shoaling over a linear transition bottom using a porous medium

Imam Solekhudin, Ivan Jonathan Kristianto, Ikha Magdalena, Cherdvong Saengsupavanich, H.Q. Rif’atin, Amila Sandaruwan Ratnayake, M. Helmi
article en
3 citations

Abstract

• We analyzed the wave shoaling phenomenon for porous structures. • We modified the existence of porous media shallow water equations. • We used the separation variable method to obtain the wave transmission coefficient. • We also apply a staggered finite volume method to solve the model numerically. • Mangroves substantially reduced wave shoaling amplitudes. • Therefore, mangroves act as an emerging porous breakwater. Wave shoaling, which involves an increase in wave amplitude due to changes in water depth, can damage shorelines. To mitigate this damage, we propose using porous structures such as mangrove forests. In this study, we use a mathematical model to examine how mangroves, acting as a porous breakwater, can reduce wave shoaling amplitude. Shallow water equations are used as the governing equations and are modified to account for the presence of porous media. To measure the wave reduction generated by the porous media, the wave transmission coefficient is estimated using analytical and numerical approaches. The separation of variables method and the staggered finite volume method are utilized for each approach, respectively. The numerical results are then validated against the previously obtained analytical solutions. We then vary the friction and porosity parameters, influenced by the presence and extent of porous media, to evaluate their effectiveness in reducing wave shoaling.

Theoretical and Applied Mechanics LettersVol. 15(1)
Diponegoro University (ID), Bandung Institute of Technology (ID), Kasetsart University (TH), Uva Wellassa University (LK)
Climate action
Openalex Percentile: Top 24%
Arctic and Antarctic ice dynamics
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.