Synthesizing Digital Seismic Waveforms for Earthquake Early Warning System | ||
| Engineering Research Journal (Shoubra) | ||
| Volume 54, Issue 1, January 2025, Pages 48-53 PDF (1.21 M) | ||
| Document Type: Research articles | ||
| DOI: 10.21608/erjsh.2024.334218.1372 | ||
| Authors | ||
| Ahmed Mohamed Tawfiek* 1; Emad Zieur2; Ali Gamal Hafez1; Mahmoud Sami Soliman1 | ||
| 1Department of Seismology, National Research Institute of Astronomy and Geophysics, Helwan, Cairo, Egypt. | ||
| 2Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt | ||
| Abstract | ||
| The advancement of earthquake early warning systems (EEWS) plays a pivotal role in reducing the detrimental impacts of seismic events on human lives and infrastructure. This paper introduces a novel method for synthesizing seismic digital waveforms tailored specifically for EEWS applications. The method leverages Green’s functions, which effectively characterize the Earth’s response to a point source. By utilizing these functions, we simulated the propagation of seismic waves originating from diverse earthquake sources and tracked their movement to a designated receiver location. To evaluate the effectiveness of this approach, we conducted a thorough validation by comparing the synthetic seismic waveforms produced by the proposed method with real seismic waveforms recorded from historical earthquakes. The results demonstrate that the synthetic waveforms align closely with the real data in terms of amplitude, frequency content, and arrival times. This accuracy underscores the potential of the proposed method to significantly enhance the precision of seismic waveform simulation, thereby strengthening the foundation of EEWS. | ||
| Keywords | ||
| Earthquake Early Warning system; Synthetic seismic waveforms; Green's functions | ||
|
Statistics Article View: 194 PDF Download: 89 |
||
