Stochastic Self-similarity Analysis and Visualization of Earthquakes on the Korean Peninsula


KIPS Transactions on Software and Data Engineering, Vol. 12, No. 11, pp. 493-504, Nov. 2023
https://doi.org/10.3745/KTSDE.2023.12.11.493,   PDF Download:
Keywords: Earthquake, Stochastic Self-similarity, Visualization, Self-similar Process, Hurst parameter
Abstract

The Republic of Korea is located far from the boundary of the earthquake plate, and the intra-plate earthquake occurring in these areas is generally small in size and less frequent than the interplate earthquake. Nevertheless, as a result of investigating and analyzing earthquakes that occurred on the Korean Peninsula between the past two years and 1904 and earthquakes that occurred after observing recent earthquakes on the Korean Peninsula, it was found that of a magnitude of 9. In this paper, the Korean Peninsula Historical Earthquake Record (2 years to 1904) published by the National Meteorological Research Institute is used to analyze the relationship between earthquakes on the Korean Peninsula and statistical self-similarity. In addition, the problem solved through this paper was the first to investigate the relationship between earthquake data occurring on the Korean Peninsula and statistical self-similarity. As a result of measuring the degree of self-similarity of earthquakes on the Korean Peninsula using three quantitative estimation methods, the self-similarity parameter H value (0.5 < H < 1) was found to be above 0.8 on average, indicating a high degree of self-similarity. And through graph visualization, it can be easily figured out in which region earthquakes occur most often, and it is expected that it can be used in the development of a prediction system that can predict damage in the event of an earthquake in the future and minimize damage to property and people, as well as in earthquake data analysis and modeling research. Based on the findings of this study, the self-similar process is expected to help understand the patterns and statistical characteristics of seismic activities, group and classify similar seismic events, and be used for prediction of seismic activities, seismic risk assessments, and seismic engineering.


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Cite this article
[IEEE Style]
J. Hwang, J. Lim, H. J. Jeong, "Stochastic Self-similarity Analysis and Visualization of Earthquakes on the Korean Peninsula," KIPS Transactions on Software and Data Engineering, vol. 12, no. 11, pp. 493-504, 2023. DOI: https://doi.org/10.3745/KTSDE.2023.12.11.493.

[ACM Style]
JaeMin Hwang, Jiyoung Lim, and Hae-Duck J. Jeong. 2023. Stochastic Self-similarity Analysis and Visualization of Earthquakes on the Korean Peninsula. KIPS Transactions on Software and Data Engineering, 12, 11, (2023), 493-504. DOI: https://doi.org/10.3745/KTSDE.2023.12.11.493.