JDR Vol.12 No.6 pp. 1174-1181
doi: 10.20965/jdr.2017.p1174

Survey Report:

Citizen Earthquake Science in Taiwan: From Science to Hazard Mitigation

Wen-Tzong Liang*,†, Jian-Cheng Lee*, Kate Huihsuan Chen**, and Nai-Chi Hsiao***

*Institute of Earth Sciences, Academia Sinica
128, Academia Road, Section 2, Nankang, Taipei 11529, Taiwan

Corresponding author

**Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan

***Seismological Center, Central Weather Bureau, Taipei, Taiwan

September 8, 2017
October 19, 2017
Online released:
November 29, 2017
December 1, 2017
citizen earthquake science, crowdsourcing, Taiwan Earthquake Science Information System (TESIS), earthquake school in the cloud, Taiwan

Taiwan is located at the convergent plate boundary between the Eurasian and the Philippine Sea plates. As a result, intense earthquake activity and associated surface deformation are manifesting in this region. To implement and promote citizen earthquake science in Taiwan, we have developed several web-based platforms with multi-purpose themes, such as earthquake science information, popular science education, and crowdsourcing systems. First, with the rapid earthquake report issued from the Taiwan Central Weather Bureau (CWB), the available near real-time scientific results obtained from the Taiwanese seismology community are collected and published to a platform, the Taiwan Earthquake Science Information System (TESIS). The scientific information archived at TESIS includes CWB earthquake reports, focal mechanisms, shake maps, and finite source models (for strong earthquakes). All real-time results are integrated into a GIS system with background geospatial information, such as geological maps, traces of active faults, background seismicity, and inter-seismic GPS velocity fields. Second, by collaborating with Stanford University to maintain a regional Quake-Catcher Network (QCN) server in Taiwan, we have promoted citizen seismology in Asia by bringing earthquake information and scientific knowledge to the public. More than 200 school teachers have already installed the QCN sensors in Internet-enabled computers. Through two web-based educational platforms, users are able to access the guidelines and further interact with the recorded waveforms. Third, we also developed an earthquake damage reporting system – the Taiwan Scientific Earthquake Reporting (TSER) system – to encourage the citizen to collect field observation for significant earthquake-induced ground damages such as surface fault rupture, landslide, rock fall, liquefaction, and landslide-triggered dam or lake. The TSER system is constructed under the Ushahidi mapping platform, which has been widely used in crowdsourcing for the geospatial archiving of events. Trained high school teachers and public volunteers can send their ground damage observations, including photographs, through the TSER system. Most of these products and online systems are now being operated by the Taiwan Earthquake Research Center (TEC). With these newly developed platforms and materials, we aim to not only raise earthquake awareness and preparedness, but also encourage public participation in earthquake science in Taiwan.

  1. [1] T. C. Shin and T. L. Teng, “An Overview of the 1999 Chi-Chi, Taiwan, Earthquake,” Bull. Seismo. Soc. Am., Vol.91, pp. 895-913, 2001.
  2. [2] H. Kanamori, “Real-Time Seismology and Earthquake Damage Mitigation,” Annu. Rev. Earth Planet. Sci, Vol.33, pp. 195-214, 2005.
  3. [3] N. C. Hsiao, Y. M. Wu, T. C. Shin, L. Zhao, and T. L. Teng, “Development of Earthquake Early Warning System in Taiwan,” Geophys. Res. Lett., Vol.36, L00B02, 2009.
  4. [4] Y. M. Wu, D. Y. Chen, T. L. Lin, C. Y. Hsieh, T. L. Chin, W. Y. Chang, W. S. Li, and S. H. Ker, “A High-Density Seismic Network for Earthquake Early Warning in Taiwan Based on Low Cost Sensors,” Seismo. Res. Lett., Vol.84, pp. 1048-1054, 2013.
  5. [5] Y. M. Wu, W. T. Liang, H. Mittal, W. A Chao, C. H. Lin, B. S. Huang, and C. M. Lin, “Performance of a Low-Cost Earthuqake Early Warning System (P-Alert) during the 2016 ML 6.4 Meinong (Taiwan) Earthquake,” Seismo. Res. Lett., Vol.87, pp. 1050-1059, 2016.
  6. [6] S. J. Lee, W. T. Liang, H. W. Cheng, F. S. Tu, K. F. Ma, H. Tsuruoka, H. Hawakatsu, B. S. Huang, and C. C. Liu, “Towards rea-time regional earhtquakae simulation I: real-time moment tensor monitoring (RMT) for regional events in Taiwan,” Geophys. J. Int., Vol.196, pp. 432-446, 2014.
  7. [7] Institute of Earth Sciences, Academia Sinica, Taiwan, “Broadband Array in Taiwan for Seismology. Institute of Earth Sciences, Academia Sinica, Taiwan,” Other/Seismic Network, 1996.
  8. [8] Y. J. Wang, C. H. Chan, Y. T. Lee, K. F. Ma, J. B. H. Shyu, R. J. Rau, and C. T. Cheng, “Probabilistic Seismic Hazard Assessment for Taiwan,” Terr. Atmos. Ocean. Sci., Vol.27, pp. 325-340, 2016.
  9. [9] N. Nojima, S. Fujikawa, Y. Ishikawa, T. Okumura, H. Fujiwara, and N. Morikawa, “Exposure Analysis Using he Probabilistic Seismic Hazard Maps for Japan,” J. Disaster Res., Vol.8, pp. 861-868, 2013.
  10. [10] Taiwan Earthquake Science Information System (TESIS) website, [accessed Aug. 20, 2017]
  11. [11] C. E. Johnson, A. Bittenbinder, B. Bogaert, L. Dietz, and W. Kohler, “EARTHWORM: A flexible approach to seismic network processing,” IRIS Newsletter XIV(2), pp. 1-4, 1995.
  12. [12] [accessed Aug. 20, 2017]
  13. [13] [accessed Aug. 20, 2017]
  14. [14] L. Zhu and Y. Ben-Zion, “Parameterization of general seismic potency and moment tensors for soruce inversion of seismic waveform data,” Geophys. J. Inter., Vol.194, pp. 839-843, 2013.
  15. [15] S. J. Lee, T. Y. Yeh, and Y. Y. Lin, “Anomalously large ground motion in the 2016 ML 6.6 Meinong, Taiwan, earthquake: A synergy effect of source rupture and site amplification,” Seismol. Res. Lett., Vol.87, pp. 1319-1326, 2016.
  16. [16] D. Wald, V. Quitoriano, L. Dengler, and J. Dewey, “Utilization of the Internet for rapid community intensity maps,” Seismo. Res. Lett., Vol.70, pp. 680-697, 1999.
  17. [17] J. Dewey, D. Wald, and L. Dengler, “Relating conventional USGS Modified Mercalli Intensities to intensities assigned with data collected via the Internet,” Seismo. Res. Lett., Vol.71, pp. 264, 2000.
  18. [18] G. M. Atkinson and D. J. Wald, “Did You Feel It?” Intensity Data: A Surprisingly Good Measure of Earthquake Ground Motion,” Seismo. Res. Lett., Vol.78, pp. 362-369, 2007.
  19. [19] P. Sbarra, P. Tosi, and V. De Rubeis, “Web-based macroseismic survey in Italy: Method validation and results,” Nat. Hazards Vol.54, pp. 563-581, 2010.
  20. [20] [accessed Aug. 20, 2017]
  21. [21] [accessed Aug. 20, 2017]
  22. [22] E. S. Cochran, J. F. Lawrence, C. Christensens, and R. S. Jakka, “The Quake-Catcher Network: Citizen Science Expanding Seismic Horizons,” Seism. Res. Lett., Vol.80, pp. 26-30, 2009.
  23. [23] W. T. Liang, K. H. Chen, Y. F. Wu, E. Yen, and C. Y. Chang, “Earthquake School in the Cloud: Citizen Seismologists in Taiwan,” Seismo. Res. Lett., Vol.87, pp. 177-185, 2016.
  24. [24] [accessed Aug. 20, 2017]
  25. [25] P. Goldstein, D. Dodge, M. Firpo, and L. Minner, “SAC2000: Signal processing and analysis tools for seismologists and engineers, Invited contribution to “The IASPEI Int. Handbook of Earthquake and Engineering Seismology”,” Academic Press, 2003.
  26. [26] A. Lomax and A. Michelini, “Mwpd: A Duration-Amplitude Procedure for Rapid Determination of Earthquake Magnitude and Tsunamigenic Potential from P Waveforms,” Geophys. J. Int., Vol.176, pp. 200-214, 2009.
  27. [27] Offical webiste of the Taiwan Earthquake Research Center (TEC), [accessed Aug. 20, 2017]
  28. [28] [accessed Aug. 20, 2017]
  29. [29] [accessed Aug. 20, 2017]
  30. [30] R. Nouchi and M. Sugiura, “Beneficial Effects of Learning with Game-Book on Education for Disaster Prevention in Children,” J. Disaster Res., Vol.9, pp. 1079-1087, 2014.
  31. [31] [accessed Aug. 20, 2017]

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Last updated on Jan. 19, 2018