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Prediction of the Maximum Expected Earthquake Magnitude in Iran: From a Catalog with Varying Magnitude of Completeness and Uncertain Magnitudes

  • Mona SalamatEmail author
  • Gert Zöller
  • Morteza Amini
Article
  • 18 Downloads

Abstract

This paper concerns the problem of predicting the maximum expected earthquake magnitude \(\mu\) in a future time interval \(T_{\text{f}}\) given a catalog covering a time period \(T\) in the past. Different studies show the divergence of the confidence interval of the maximum possible earthquake magnitude \(m_{ \hbox{max} }\) for high levels of confidence (Salamat et al. 2017). Therefore, \(m_{ \hbox{max} }\) should be better replaced by \(\mu\) (Holschneider et al. 2011). In a previous study (Salamat et al. 2018), \(\mu\) is estimated for an instrumental earthquake catalog of Iran from 1900 onwards with a constant level of completeness \(\left( {m_{0} = 5.5} \right)\). In the current study, the Bayesian methodology developed by Zöller et al. (2014, 2015) is applied for the purpose of predicting \(\mu\) based on the catalog consisting of both historical and instrumental parts. The catalog is first subdivided into six subcatalogs corresponding to six seismotectonic zones, and each of those zone catalogs is subsequently subdivided according to changes in completeness level and magnitude uncertainty. For this, broad and small error distributions are considered for historical and instrumental earthquakes, respectively. We assume that earthquakes follow a Poisson process in time and Gutenberg–Richter law in the magnitude domain with a priori unknown \(a\) and b values which are first estimated by Bayes’ theorem and subsequently used to estimate \(\mu\). Imposing different values of \(m_{ \hbox{max} }\) for different seismotectonic zones namely Alborz, Azerbaijan, Central Iran, Zagros, Kopet Dagh and Makran, the results show considerable probabilities for the occurrence of earthquakes with \(M_{w} \ge 7.5\) in short \(T_{\text{f}}\) , whereas for long \(T_{\text{f}}\), \(\mu\) is almost equal to \(m_{ \hbox{max} }\).

Keywords

Maximum expected earthquake magnitude completeness levels magnitude errors Bayesian method Iran 

Notes

Acknowledgments

We thank editor Adrien Oth and three anonymous reviewers for their useful comments. The paper greatly benefited from constructive comments of an anonymous reviewer who entirely helped us improve the manuscript. GZ acknowledges support from the Deutsche Forschungsgemeinschaft (SFB 1294). MS is grateful to Mehdi Zare for a valuable discussion. We also use the software GMT (Wessel and Smith 1991) to produce Fig. 1.

Supplementary material

24_2019_2141_MOESM1_ESM.docx (23 kb)
Supplementary material 1 (DOCX 23 kb)

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.International Institute of Earthquake Engineering and Seismology (IIEES)TehranIran
  2. 2.Institute of MathematicsUniversity of PotsdamPotsdamGermany
  3. 3.Department of Statistics, School of Mathematics, Statistics and Computer ScienceUniversity of TehranTehranIran

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