Abstract

The classical seismic hazard analysis is based on two independent simpli ed assumptions including the statistical distribution of mag- nitude (usually Gutenberg-Richter 1958) and the distance distribution (equal probability in each point of a given source). However, the interaction between the two distributions is rarely discussed in past researches. Therefore, a joint M-R distribution has been implemented in this paper in order to shed light into these simpli ed assumptions. The Tehran metropolis is considered as the case study since it lo- cates in a highly active seismic region. Three seismological datasets were used in this study, i.e. the observed dataset, the simulated dataset based on the Han and Choi 2008 methodology, and the simulated dataset based on the EqHaz software platform. Then, the clas- sical seismic hazard analysis results are compared with the results obtained based on the joint M-R distribution. The results show that the classical seismic hazard analysis is always conservative when compared with the results based on the simulated data.

Highlights

  • Seismic Hazard Analysis (SHA) is an important and timely issue in the performance-based earthquake engineering (McGuire, 2004), i.e. especially in high seismic regions such as Iran plateau (Berberian, 2005)

  • The multivariate statistical distribution of magnitude-distance is altered into the classical hazard analysis, and the obtained results are discussed

  • The classical SHA always depends on the seismicity rate parameters

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Summary

INTRODUCTION

Seismic Hazard Analysis (SHA) is an important and timely issue in the performance-based earthquake engineering (McGuire, 2004), i.e. especially in high seismic regions such as Iran plateau (Berberian, 2005). The. hypothesis of this research is that if whether the joint distribution of the magnitude and distance will result in different conclusions in the case of seismic hazard when compared to the classical approach? The Tehran metropolis is considered as the case study in this research since this capital is located in the highly active seismic region and the SHA results in this area will be informative for engineering and research purposes For this aim, two catalogues are gathered including (1) the observed events which are collected from the previous studies [Shahvar and Zare, 2013; Berberian, 1994], and (2) a simulated set of events based on the Han and Choi approach [Han and Choi, 2008]. It is worth mentioning that the author's findings show that the SHA results based on using fm(M).fr( R) meaningfully differ from the results found on the implementation of fm,r(M, R) within Equation (1)

SEISMIC CATALOGUE
SEISMIC DE-CLUSTERING
SEISMOGENIC ZONES AND MAGNITUDE-FREQUENCY DISTRIBUTION
SIMULATION OF CATALOGUE BY USING THE HAN AND CHOI ALGORITHM
SIMULATION OF CATALOGUE BY USING EQHAZ SOFTWARE PLATFORM
CLASSICAL SEISMIC HAZARD ANALYSIS
CLASSICAL SEISMIC HAZARD ANALYSIS BY USING THE SIMULATED DATA
Findings
CONCLUSION
DATA AND RESOURCES
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