2024 : 4 : 28
Azad Yazdani

Azad Yazdani

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 7004218797
Faculty: Faculty of Engineering
Address:
Phone: +98-87-33668457

Research

Title
A Bayesian approach for seismic recurrence parameters estimation
Type
JournalPaper
Keywords
missing earthquakes, seismic catalog homogenization, Gutenberg-Richter law parameters.
Year
2014
Journal Journal of Vibroengineering
DOI
Researchers Mostafa Khanzadi ، Ahmad Nicknam ، Azad Yazdani ، Sasan Motaghed

Abstract

Recurrence models apply historical seismicity information to seismic hazard analysis. These models that play an important role in the obtained hazard curve are determined by their parameters. Recurrence parameters estimation has some features that lie in missing-data problems category. Thus, the observed data cannot be used directly to estimate model parameters. Furthermore discussion about results reliability and probable conservatism is impossible. The present study aims at offering an approach for Gutenberg-Richter parameters (�� and ��-values) estimation and determine their variation. Applying the proposed method to analyses of the heterogeneous data sets of seismic catalog, one would calculate valid estimates for recurrence parameters. This method has the capability to reflect all known sources of variability. The results of the case study clearly demonstrate applicability and efficiency of the proposed method, which can easily be implemented not only in advanced but also in practical seismic hazard analyses.