Impact of fault parameter uncertainties on earthquake recurrence probability examined by Monte Carlo simulation - an example in Central Taiwan

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Title:	Impact of fault parameter uncertainties on earthquake recurrence probability examined by Monte Carlo simulation - an example in Central Taiwan
Authors:	王瑞斌;Wang, Jui-Pin;Lin, Chii-Wen;Taheri, Hamed;Chan, Wen-Shan
Contributors:	工學院土木工程學系
Keywords:	Applied sciences;Buildings. Public works;Computation methods. Tables. Charts;Earth sciences;Earth, ocean, space;Earthquake recurrence probability;earthquakes;engineering;Engineering and environment geology. Geothermics;Exact sciences and technology;Geotechnics;Meishan;Monte Carlo method;Monte Carlo simulation;Natural hazards: prediction, damages, etc;Probabilistic analysis;probability analysis;Structural analysis. Stresses;Structure-soil interaction;surveys;Taiwan;Uncertainty
Date:	2012-02-13
Issue Date:	2026-04-21 13:26:45 (UTC+8)
Publisher:	Elsevier;Kidlington: Elsevier B.V
Abstract:	摘要： The region around Taiwan is well known for its unique geological setting which has resulted in a high seismicity. The Central Geological Survey, Taiwan (CGST), has launched a series of investigation on characterizing the active faults on the island. The CGST revealed that there are 33 active faults and their fault parameters are suggested in the latest publication in 2010. However, the uncertainties of return period and earthquake magnitude are not provided. The main objective of the paper is to study the impact of “unspecified” parameter uncertainties on recurrence earthquake probabilities. In addition, a numerical approach involving the use of Monte Carlo simulation was proposed to estimate the exceedance probabilities in which the parameter uncertainties were taken into account. The Meishan fault in Central Taiwan with the best-estimate return period of 162years and earthquake magnitude of 7.1 was used as an example. The analyses verified the impact of parameter uncertainties on the exceedance probability in fault-induced earthquake recurrence. When uncertainty is high, the exceedance probability associated with large magnitudes is high. It was also observed that the probabilistic analysis in this study can generate a realistic, continuous distribution of exceedance probabilities that cannot be obtained by a deterministic approach. The best-estimate distribution of exceedance probability was established by enveloping the curves estimated by both deterministic and probabilistic approaches. Accordingly, the best-estimate exceedance probability for a 7.5-magnitude earthquake recurring in 2011–2060 induced by the Meishan fault in Central Taiwan was estimated as 11%. 出版者： Kidlington: Elsevier B.V 出版日期： 2012-02-13 出處： Engineering geology, 2012-02, Vol.126, p.67-74 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2011 Elsevier B.V. 版權： 2015 INIST-CNRS 識別號： ISSN: 0013-7952 識別號： EISSN: 1872-6917 識別號： DOI: 10.1016/j.enggeo.2011.12.012 識別號： CODEN: EGGOAO
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