Simulation of tsunami wave propagation due to volcanic and tectonic earthquakes

DOI

10.2991/978-94-6463-475-4_26How to use a DOI?

Keywords

Tsunami; volcanic and Tectonic Earthquakes; Anak Krakatau

Abstract

Generally, long wave propagation numerical models are used to model the propagation of tsunami waves, which both are caused by volcanic earthquakes and tectonic earthquakes that occur in the middle of the sea. In this research, the time and height of tsunami wave propagation are presented and simulated. Tsunami waves are simulated with the assumption that if in the future at the location of Mount Anak Krakatau an eruption of Mount Anak Krakatau occurs, or from around the fault zone on the west coast of Sumatra a tectonic earthquake occurs. It is assumed that the earthquake that occurred will cause a tsunami wave. The waves will propagate to the coastal areas of Lampung and the west coast of Sumatra. To model the propagation of tsunami waves, nonlinear wave equations are used. The explicit finite difference method is used to approach this equation. Aim of this research presented here is to show that the propagation of tsunami waves caused by tectonic earthquakes is more dangerous than tsunami waves caused by volcanic earthquakes if it is assumed that the energy or height of the tsunami waves at the source location is the same.

Copyright

© 2024 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.

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TY  - CONF
AU  - Ahmad Zakaria
AU  - Subuh Tugiono
AU  - A. Ashruri
PY  - 2024
DA  - 2024/08/02
TI  - Simulation of tsunami wave propagation due to volcanic and tectonic earthquakes
BT  - Proceedings of the 1st International Conference on Industry Science Technology and Sustainability (IConISTS 2023)
PB  - Atlantis Press
SP  - 303
EP  - 314
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-475-4_26
DO  - 10.2991/978-94-6463-475-4_26
ID  - Zakaria2024
ER  -