Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami

The alternative newly developed TIMPULSE-SIM model is used for forecasting all three phases of seismic/earthquake-induced tsunami waves. The main objective of this modeling is to predict the earliest arrival time of tsunami with less computation time. This paper analyses the third phase or the run-up phase of tsunami. The assessment of tsunami wave run-up minimize the risk in coastal community due to the tsunami impact. The paper introduces a closed set of algebraic expressions for modeling the run-up phase and the reliability of the model is analyzed by implementing and testing of this model to the two major historical seismic tsunami are, 2004 Indonesian Subduction zone tsunami in Indian ocean region, 2011 Great east Japan tsunami in Pacific ocean region. From this study, this proposed model should be a good alternative to the existing model for applying to the real time tsunami event because it includes the nonlinearity and frequency dispersion of wave, and applied to both near and far field tsunamis, efficient to apply for a long duration, mainly the computation time is achieved in O(minutes). More than 90 percentage of accuracy achieved in this model by validating the simulated results with the historical and other existing model that emphasize the model’s reliability.

Authors

Institutions

Publication Details

Journal
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Published
2024-11-27
DOI
https://doi.org/10.37394/232015.2024.20.67
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami

M. Yasmin Regina, E. Syed Mohamed
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
earthquake and tectonic studies
article

Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami

M. Yasmin Regina, E. Syed Mohamed
article en

Abstract

The alternative newly developed TIMPULSE-SIM model is used for forecasting all three phases of seismic/earthquake-induced tsunami waves. The main objective of this modeling is to predict the earliest arrival time of tsunami with less computation time. This paper analyses the third phase or the run-up phase of tsunami. The assessment of tsunami wave run-up minimize the risk in coastal community due to the tsunami impact. The paper introduces a closed set of algebraic expressions for modeling the run-up phase and the reliability of the model is analyzed by implementing and testing of this model to the two major historical seismic tsunami are, 2004 Indonesian Subduction zone tsunami in Indian ocean region, 2011 Great east Japan tsunami in Pacific ocean region. From this study, this proposed model should be a good alternative to the existing model for applying to the real time tsunami event because it includes the nonlinearity and frequency dispersion of wave, and applied to both near and far field tsunamis, efficient to apply for a long duration, mainly the computation time is achieved in O(minutes). More than 90 percentage of accuracy achieved in this model by validating the simulated results with the historical and other existing model that emphasize the model’s reliability.

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENTVol. 20
B.S. Abdur Rahman Crescent Institute of Science & Technology (IN)
Life below water
Openalex Percentile: Top 78%
earthquake and tectonic studies
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.