Published November 2018 | Version v1
Journal article

Comparison of conventional and Monte Carlo simulation-based probabilistic seismic hazard analyses for Shiraz city, southern Iran

  • 1. Shiraz University, Department of Civil and Environmental Engineering (Iran, Islamic Republic of)
  • 2. International Institute of Earthquake Engineering and Seismology (IIEES) (Iran, Islamic Republic of)

Description

Estimation of ground-motion amplitudes of different hazard levels is of paramount importance in planning of urban development of any metropolis. Such estimation can be computed through a probabilistic seismic hazard analysis (PSHA). This paper concentrates on the PSHA of an area located in Shiraz city, southern Iran. The area includes whole of Shiraz city (i.e., one of the largest and most populous cities of Iran) and its outskirts. Conventional and Monte Carlo simulation-based approaches are utilized to perform the PSHA of the studied area. Two areal seismic source models are delineated, and thence seismicity parameters of all zones associated with their corresponding uncertainties are computed. Uncertainties in ground-motion prediction are accounted for via three ground-motion prediction equations (GMPEs) within the logic tree framework. These GMPEs are applied to estimate bedrock ground shaking (Vs30 = 760 m/s) for several return periods (i.e., 75, 475, 975, and 2475 years). In general, the results of the two abovementioned PSHA approaches show relatively similar results. However, the Monte Carlo simulation-based approach overpredicts bedrock spectral accelerations at periods of 0.4–2.5 s compared to the conventional PSHA approach for return periods of 475, 975, and 2475 years.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Seismology
Journal Volume
22
Journal Issue
6
Journal Page Range
p. 1629-1643
ISSN
1383-4649

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50055239
Subject category
S58: GEOSCIENCES;
Descriptors DEI
COMPUTERIZED SIMULATION; GROUND MOTION; HAZARDS; MONTE CARLO METHOD; PREDICTION EQUATIONS; PROBABILISTIC ESTIMATION; SEISMIC SOURCES; SEISMICITY
Descriptors DEC
CALCULATION METHODS; EQUATIONS; MOTION; SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Springer Nature B.V.