A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran. Issue 2 (17th February 2017)

• Record Type: Journal Article
• Authors: Shahidzadeh, Mohammad Sadegh; Yazdani, Azad
• Is Part Of: Journal of earthquake engineering. Volume 21:Issue 2(2017)
• Page Start: 290
• Page End: 324
• Publication Date: 2017-02-17
• Subjects: Ground-Motion -- Prediction Equation -- Bayesian Updating -- Uncertainty -- Ranking; Earthquake engineering -- Periodicals; 624.1762
• DOI: 10.1080/13632469.2016.1158754
• Languages: English
• ISSNs: 1363-2469

Abstract

Abstract : This article presents new ground-motion prediction equations for three distinct seismic regions of Iran via updating the previous global model using observed data for each region by means of Bayesian updating. The Bayesian theory has the advantage that it results in more accurate results even in situations when little data is available. This leads the way for updating global models to obtain new local models for seismotectonic regions with little available data like Iran. The proposed updated model was compared against currently available models for Iran and the results reveal the overall stability and quality performance of the proposed model.