Evaluation of Earthquake Hazard Parameters by Bayesian Method for Different Source Regions in Zagros Seismotectonic Province

Document Type : Research Article

Authors

1 Ph.D. Candidate, Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Seismology Research Center, International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran

3 Assistant Professor, Department of Earth Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

In this study, we used the program for seismic hazard Bayesian estimate elaborated by Alexey Lyubushin. However, earthquake hazard parameters of maximum magnitude (Mmax), β value, and seismic activity rate or intensity (λ) and their uncertainties for the 30 different source regions in Zagros seismotectonic province have been evaluated with the help of a complete and homogeneous earthquake catalog during the period 1900-2019 with Mw ≥ 4.0. The estimated Mmax values vary between 5.05 and 7.41. The lowest value is observed in the MZ3 source whereas the highest value is observed in the MZ2 source. Also, it is observed that there is a strong relationship between the estimated maximum earthquake magnitudes estimated by the Bayesian method and maximum observed magnitudes. Moreover, quantiles of functions of distributions of true and apparent magnitude for future time intervals of 10, 20, 50, 100, 475 years are calculated with confidence limits for probability levels of 50, 60, 70, 80, 90, 95, and 98% in 30 different source regions. MZ2 source shows earthquake magnitude greater than 7.0 in next 100-years with 90% probability level as compared to other regions, which declares that these regions are more susceptible to the occurrence of a large earthquake. The outcomes obtained in the study may have useful implications in probabilistic seismic hazard studies of Zagros seismotectonic province.

Keywords

Main Subjects

References

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Journal of Seismology and Earthquake Engineering
Volume 22, Issue 2
May 2020
Pages 1-16

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