2014
DOI: 10.1016/j.jag.2013.06.006
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Deformation and fault parameters of the 2005 Qeshm earthquake in Iran revisited: A Bayesian simulated annealing approach applied to the inversion of space geodetic data

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Cited by 10 publications
(2 citation statements)
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“…Similar observations of surface shortening in the overlying sediments have been made for the recent earthquakes in the Zagros, including the 27 November 2005 (Nissen et al, 2007;Amighpey et al, 2014) and the 10 September 2008 Faegh-Lashgary et al, 2012) earthquakes in Qeshm and the 25 March 2006 Fin earthquake (Roustaei et al, 2010). The previously unmapped blind-thrust fault that was activated in the 2014 Mormori event dies out upward into the Gachsaran salt (Fig.…”
Section: Discussionsupporting
confidence: 76%
“…Similar observations of surface shortening in the overlying sediments have been made for the recent earthquakes in the Zagros, including the 27 November 2005 (Nissen et al, 2007;Amighpey et al, 2014) and the 10 September 2008 Faegh-Lashgary et al, 2012) earthquakes in Qeshm and the 25 March 2006 Fin earthquake (Roustaei et al, 2010). The previously unmapped blind-thrust fault that was activated in the 2014 Mormori event dies out upward into the Gachsaran salt (Fig.…”
Section: Discussionsupporting
confidence: 76%
“…The Bayesian method has been applied to a variety of studies, such as estimating dissolved oxygen in a river (Patil and Deng 2011), evaluating the reliability of pile foundations (Zhang et al 2006), reconstructing a synthetic aperture radar (SAR) image (Vu et al 2013), and quantifying the risk of offshore drilling (Khakzad et al 2013). In addition to those applications, the Bayesian approach has also been used in earthquake studies, such as evaluating earthquake-induced slope failures (Song et al 2012), characterizing a structure's vulnerability against earthquakes (Koutsourelakis 2010), and estimating the parameters of an active fault (Amighpey et al 2014). As a result, it is understood that the Bayesian approach is a general framework, and the data used as prior information and likelihood function can vary case by case.…”
Section: Overview Of the Bayesian Approachmentioning
confidence: 99%