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Stochastic modeling of Iranian earthquakes and estimation of ground motion for future earthquakes in Greater Tehran by Hamid Zafarani; Assadollah Noorzad; Anooshirvan Ansari; Khosro Bargi is a Engineering article available to read on EtoBox.

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Strong-motion data from eight significant well-documented earthquakes in Iran have been simulated using a stochastic modeling technique for finite faults proposed by Beresnev and Atkinson [Bull Seismol Soc Am 87 (1997) 67-84; Seism Res Lett 69 (1998) 27-32]. The database consists of 61 three-component records from eight earthquakes of magnitude ranging from M 6.3 to M 7.4, recorded at hypocentral distances up to 200 km. The model predictions are in good agreement with available Iranian strongmotion data as evidenced by near-zero average of differences between logarithms of the observed and predicted values for all frequencies. The strength factor, sfact, a quantity that controls the highfrequency radiation from the source is determined, on an event-by-event basis, by fitting simulated to observed response spectra. The calibrated model has been used in the second part of this study to predict ground motions in the Tehran metropolitan area from future large earthquakes along three faults in the Alborz seismic zone (ASZ), which are the most active and hazardous faults near the city. Peak horizontal accelerations (PHA) from our scenario earthquakes exceed 0.7 g, with the highest PHA in

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Author

Hamid Zafarani; Assadollah Noorzad; Anooshirvan Ansari; Khosro Bargi

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0267-7261)

Published

2009

Language

EN

Field

Engineering (Physical Sciences)