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Reviews of seismicity around Taiwan: Weibull distribution

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  • J. Wang

Abstract

Statistical studies and empirical models play an important role in earthquake research. In this paper, a new statistical study was presented, evaluating if earthquake magnitude probability functions could be modeled by the Weibull distribution that is commonly used in many areas. On the basis of more than 50,000 earthquake data around Taiwan, the statistical analyses show that the hypothesis examined was not rejected by the statistics. That is, the earthquake magnitude probability function around Taiwan could be modeled by the Weibull distribution, with a substantial statistical significance. Copyright Springer Science+Business Media Dordrecht 2016

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  • J. Wang, 2016. "Reviews of seismicity around Taiwan: Weibull distribution," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1651-1668, February.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:3:p:1651-1668
    DOI: 10.1007/s11069-015-2045-7
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    References listed on IDEAS

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    1. Jui-Pin Wang & Chung-Han Chan & Yih-Min Wu, 2011. "The distribution of annual maximum earthquake magnitude around Taiwan and its application in the estimation of catastrophic earthquake recurrence probability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(1), pages 553-570, October.
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    Cited by:

    1. Jyh-Woei Lin, 2020. "Researching significant earthquakes in Taiwan using two back-propagation neural network models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3563-3590, September.

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