Issue |
E3S Web Conf.
Volume 599, 2024
6th International Conference on Science and Technology Applications in Climate Change (STACLIM 2024)
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|
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Article Number | 04005 | |
Number of page(s) | 8 | |
Section | Advance and Emerging Technology | |
DOI | https://doi.org/10.1051/e3sconf/202459904005 | |
Published online | 10 January 2025 |
Monitoring Surface Deformation Before the M7.0 Kumamoto and M6.6 Chitose Earthquakes for Precursor
1 Space Science Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Malaysia
2 Department of Electrical, Electronic & Systems Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia
3 Department of Applied Physics, Faculty of Science & Technology, Universiti Kebangsaan Malaysia, Malaysia
4 Department of Physics, Faculty of Science, Universiti Putra Malaysia, Malaysia
* Corresponding author: nurfatin.zulhamidi@gmail.com
** Corresponding author: mardina@ukm.edu.my
Earthquakes have resulted in significant damage; however, the extent of the ground observation coverage remains limited. Thus, a deeper understanding of seismic activity and its precursors holds promise in mitigating earthquake hazards. This study aims to monitor the surface deformation for earthquake precursor identification. Interferometric Synthetic Aperture Radar (InSAR) observations were used to identify surface deformation before and after seismic events. The analysis of Sentinel-1 images provided a time series of land subsidence and deformation, allowing for the analysis of deformation evolution. A significant phase difference was observed between the preand post-event interferograms for both the Kumamoto and Chitose earthquakes. The phase map shows the phase difference caused by the energy released prior to the earthquake; hence, it could be a possible precursor for earthquakes. Developing strategies and implementing early warning systems could be effective in reducing the impact of earthquakes and protecting vulnerable regions from their severe consequences.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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