Proceedings of the 3rd International Conference on Science in Engineering and Technology (ICOSIET 2024)

<Previous Article In Volume
Next Article In Volume>

Shoreline Change Prediction of Talise Beach after Palu Earthquake and Tsunami 2018

Authors
Andi Rusdin1, *, Setiyawan Setiyawan1, Rudi Herman1, Anwar Dollu1, Estiana Estiana2, Fildawati Yuningsi2, Fahmi Musbudi2, Andi Laskaria2
1Civil Engineering Study Program, Faculty of Engineering, Tadulako University, Palu, Central Sulawesi, Indonesia
2Student of Civil Engineering Study Program, Faculty of Engineering, Tadulako University, Palu, Central Sulawesi, Indonesia
*Corresponding author. Email: andi.rusdin@untad.ic.id
Corresponding Author
Andi Rusdin
Available Online 7 July 2025.
DOI
10.2991/978-94-6463-768-7_40How to use a DOI?
Keywords
Talise Beach; shoreline change; Palu Tsunami
Abstract

A simulation of shoreline change at Talise Beach in Indonesia has been conducted, with an emphasis on analyzing the impacts of the 2018 Palu Bay tsunami on the rapid coastal morphological change and validating the effectiveness of the GENESIS numerical model in simulating shoreline changes. Indonesia’s extremely long coastline is vulnerable to catastrophic natural disasters, requiring quantitative assessment of longshore sediment transport and shoreline evolution to be imperative. Through a multifaceted analysis incorporating tidal data, bathymetry surveys, wind records, and sediment analysis, the GENESIS model was parameterized and subsequently augmented by the STWAVE model for wave transformation analysis. Simulation results reveal that longshore sediment transport has a profound influence on Talise Beach’s morphological characteristics, with a 10-year simulation yielding a maximum accretion of 9.30 meters and a maximum erosion of -1.75 meters. The GENESIS model effectively replicated shoreline modifications, underscoring its utility in forecasting coastal behavior and informing management strategies. This study underscores the significance of integrating numerical modeling with empirical data to enhance comprehension and mitigate coastal hazards in dynamic environments such as Talise Beach.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Science in Engineering and Technology (ICOSIET 2024)
Series
Advances in Engineering Research
Publication Date
7 July 2025
ISBN
978-94-6463-768-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-768-7_40How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Andi Rusdin
AU  - Setiyawan Setiyawan
AU  - Rudi Herman
AU  - Anwar Dollu
AU  - Estiana Estiana
AU  - Fildawati Yuningsi
AU  - Fahmi Musbudi
AU  - Andi Laskaria
PY  - 2025
DA  - 2025/07/07
TI  - Shoreline Change Prediction of Talise Beach after Palu Earthquake and Tsunami 2018
BT  - Proceedings of the 3rd International Conference on Science in Engineering and Technology (ICOSIET 2024)
PB  - Atlantis Press
SP  - 359
EP  - 368
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-768-7_40
DO  - 10.2991/978-94-6463-768-7_40
ID  - Rusdin2025
ER  -