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International Conference on Soil Liquefaction, November 3-4, 2003

International Conference on Soil Liquefaction, November 3-4, 2003. Estimation of Strong Motion Response Spectra from Weak Motion Data for Earthquakes in Taiwan Yi-Ben Tsai 1 and Hsiao-Ling Chao 2. 1. Institute of Geophysics, National Central University, Chung-Li, Taiwan

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International Conference on Soil Liquefaction, November 3-4, 2003

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  1. International Conference on Soil Liquefaction, November 3-4, 2003 Estimation of Strong Motion Response Spectra from Weak Motion Data for Earthquakes in Taiwan Yi-Ben Tsai1 and Hsiao-Ling Chao2 1. Institute of Geophysics, National Central University, Chung-Li, Taiwan 2. Seismology Center, Central Weather Bureau, Taipei, Taiwan

  2. Outlines of my presentation Two seismic strong motion networks in Taiwan ＊ 80-station real-time network for rapid reporting. ＊ 650-station free-field network for dense coverage. Highly repeatable local site response of ground motion ＊ Moderate earthquakes up to M5.8. ＊ Large Chi-Chi aftershocks up to M6.5. Testing results from M7.6 Chi-Chi earthquake data ＊ Very reliable for distant stations. ＊ Reliable for near-source stations with some exceptions. Conclusion ＊ Combination of the two networks can provide rapid and reliable estimation of strong ground motion response spectra.

  3. Purpose:To make use of two excellent strong-motion networks for rapid mapping of dense strong-motion distributions. For timeliness:Taiwan Rapid Earthquake Information Release System. For dense coverage:Taiwan Strong Motion Instrumentation Program Network . Data analyzed:Chi-Chi earthquake,M7.6,396 stations. 6 Chi-Chi aftershocks ,M6.3-6.5,331-375 stations. Chiayi earthquake, M5.8,336 stations. Rayli earthquake, M5.7,231 stations.

  4. * means the record in TREIRS station is replaced by the record in free-field station.

  5. Conclusion Combination of the two seismic networks can provide rapid and reliable estimation of strong ground motion response spectra for earthquakes in Taiwan.

  6. Thank you very much

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