Japan Geoscience Union Meeting 2025

Presentation information

[J] Poster

S (Solid Earth Sciences ) » S-SS Seismology

[S-SS13] Earthquake prediction and forecast

Wed. May 28, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Kiwamu Nishida(Earthquake Research Institute, University of Tokyo), Kei Katsumata(Institute of Seismology and Volcanology, Hokkaido University)

5:15 PM - 7:15 PM

[SSS13-P03] Application of a Customized High-Rise Early Warning Model to Different Building Types

*Chiao Chu Hsu1, Shu Hsien Chao1 (1.National Center for Research on Earthquake Engineering)

Keywords:Earthquake Early Warning Systems, High-Rise Buildings, Peak Floor Acceleration (PFA)

Taiwan is located in the Pacific Ring of Fire, where earthquakes occur frequently, posing significant threats to buildings and human safety. Earthquake Early Warning (EEW) systems provide timely alerts to mitigate earthquake-induced damages and casualties. However, Taiwan’s current EEW system primarily issues warnings based on estimated ground shaking intensity, which may lead to false alarms or missed alerts due to varying user requirements. For example, some earthquakes may have low intensity but contain specific frequency components that induce resonance in high-rise buildings, causing strong shaking on upper floors. Since the existing EEW system does not detect sufficient ground motion to trigger an alert, high-rise residents may experience intense swaying without receiving a warning, reducing their time to respond effectively.
To address this issue, Chao et al. (2024) proposed a customized high-rise hybrid early warning model, which was applied to the National Center for Research on Earthquake Engineering (NCREE) building. Their study demonstrated that this system can effectively predict seismic waves that may trigger resonance responses in high-rise structures, allowing for more precise early warnings. By detecting earthquake-induced high Peak Floor Acceleration (PFA), this model reduces the risk of structural damage and potential injuries to occupants.
This study further extends the application of the high-rise hybrid early warning model to evaluate its feasibility and broader implementation across different building types. We conducted tests on two distinct structures: (1) a high-rise residential building (24F) -Century Building in Tainan, to assess its applicability in residential skyscrapers, and (2) a low-rise public facility (6F) - Taitung County Fire Department, to examine its effectiveness for shorter structures. By analyzing the results from these different building types, we aim to refine and optimize the model to adapt to various structural needs and improve overall earthquake warning efficiency.