Ground-motion scenarios consistent with PSH deaggregation for Tehran, capital city of Iran

Abdi, Fariba; Mirzaei, Noorbakhsh; Shabani, Elham

doi:10.5194/nhess-13-679-2013

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…Despite the relatively high elevation of Alborz Mountains, the Bougure anomaly has very small negative values and the crustal thickness is less than 35 km along the Caspian coast; therefore, it must be considered as mountains without root whose uplift is due to thrusting of allochthonous masses over each other in a compressional tectonic regime (Dehghani and Makris, 1983). Fault plane solutions of earthquakes in the study region indicate both thrust and strike-slip faulting, though the thrust faulting is prominent (Berberian, 2014;Abdi et al, 2013). …”

Section: Tectonic Settingmentioning

confidence: 98%

Probabilistic Seismic Hazard Deaggregation for Karaj City (Iran)

Jarahi¹

2016

American Journal of Engineering and Applied Sciences

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Abstract:In this study the results of PSHA deaggregation for 5%-damped 0.2, 0.5, 2 and 4 s spectral accelerations, corresponding to Mean Return Periods (MRPs) of 50 and 475 yr for Karaj city was presented. The aim of this paper is to quantify the dominant events that have the most contribution on ground-motion exceedance from the above mentioned hazard levels. The scenario earthquakes are characterized by bins of Magnitude (M) and source-to-site distance (R). The results reveal that for Karaj city, the hazard is mainly controlled by near active fault.

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Section: Tectonic Settingmentioning

confidence: 98%

Probabilistic Seismic Hazard Deaggregation for Karaj City (Iran)

Jarahi¹

2016

American Journal of Engineering and Applied Sciences

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“…In this study the above major seismotectonic provinces are entitled as ZG, AA, CE, KD and MK, respectively. This is a well-defined regionalization for seismotectonic provinces of Iran and many researchers have used this zonation in their works; for example, Ashtari [2007], Yazdani and Kowsari [2011], Tahernia et al [2012], Zafarani and Soghart [2012], Karimiparidari et al [2013], Abdi et al [2013], and Zare et al [2014]. It is clear that a further more and more detailed subdivision of the seismic areas will result an improvement in the reliability of time series of seismic events with a consequent increasing of both the precision in the determination of the parameters and the space resolution [Cosentino et al 1977].…”

Section: Seismotectonic Unitsmentioning

confidence: 99%

A declustered earthquake catalog for the Iranian Plateau

Mousavi-Bafrouei

Mirzaei

Shabani

2015

Annals of Geophysics

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A unified catalog of earthquakes in Iran and adjacent regions (the area bounded in 22º-42ºN and 42º-66ºE) covering the period of 4th century B.C. through 2012 with Mw≥4 is provided. The catalog includes all events for which magnitude have been determined by international agencies and most reliable individual sources. Since the recurrence time of maximum credible earthquake cannot be directly estimated from the mb, empirical formulae are established to convert mb to Ms, mb to Mw and Ms to Mw for each major seismotectonic province separately. The unified catalog is declustered using conjugated distance-time windows. In order to estimate completeness thresholds, magnitude-time (M-T) diagram and Stepp’s method are applied on the declustered catalog for each seismotectonic province. The magnitude of completeness (Mc) decreases with development of local and regional seismic stations. The results of present study are particularly important in seismic hazard analysis in Iran.

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“…(e.g. Frankel 1995;McGuire 1995;Bazzurro and Cornell 1999;Harmsen et al 1999;Harmsen and Frankel 2001;; Tselentis and Danciu 2010; Abdi et al 2013). Analysis of deaggregation provides a vital instrument for understanding seismic hazard (Bazzurro and Cornell 1999).…”

Section: Introductionmentioning

confidence: 99%

Deaggregation of Probabilistic Seismic Hazard for Designated Cities in Ghana

Ahulu

Gidigasu

Nuamah

2023

Preprint

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A probabilistic seismic hazard study based on the values of spectral acceleration (SA), and peak ground acceleration (PGA) has been performed for the southern part of Ghana. Three conceivable seismic sources inside and near Ghana were identified and considered based on a modern and integrated earthquake catalog of over a century (1615–2009). Epistemic uncertainties associated with input parameters were considered and implemented in the seismic hazard calculation using a logic tree method. These included the chosen suitable ground-motion attenuation equations. Thereafter, the deaggregation of the seismic hazard, expressed in magnitude and distance, for selected cities in Ghana was estimated to aid in the understanding of the contributions to the hazard of various seismic sources. Deaggregation of the seismic hazard was estimated for SA of 0.2 s, and 1.0 s as well as PGA at 10% probability of exceedance in 50 years. All in all, the results show that the sources located close to the cities contribute most to their seismic hazard, especially for PGA. More distance sources only contribute to the hazard at longer periods (e.g. 1.0s) The importance of the outcome of this type of study is that deaggregation of the seismic hazard offers valuable data of the seismic sources that contribute towards the hazard at a specific location. This information can be used to decide on the scenario-based ground-motion time histories necessary for the seismic design of structures.

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Ground-motion scenarios consistent with PSH deaggregation for Tehran, capital city of Iran

Cited by 12 publications

References 26 publications

Probabilistic Seismic Hazard Deaggregation for Karaj City (Iran)

Probabilistic Seismic Hazard Deaggregation for Karaj City (Iran)

A declustered earthquake catalog for the Iranian Plateau

Deaggregation of Probabilistic Seismic Hazard for Designated Cities in Ghana

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