2005
DOI: 10.1785/gssrl.76.1.27
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Preliminary Analysis of Strong-motion Recordings from the 28 September 2004 Parkfield, California Earthquake

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Cited by 35 publications
(22 citation statements)
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“…This event was recorded with a large number of near-field instruments deployed in a series of mostly fault-normal arrays. The Parkfield distribution of PGA with distance clearly demonstrates that the largest accelerations were not recorded at the stations closest to the fault (Shakal et al 2005). Similar observations can be also made about 1999 M7.6 Chi-Chi and the 1979 M6.5 Imperial Valley earthquakes.…”
Section: Attenuation-model Developmentsupporting
confidence: 72%
“…This event was recorded with a large number of near-field instruments deployed in a series of mostly fault-normal arrays. The Parkfield distribution of PGA with distance clearly demonstrates that the largest accelerations were not recorded at the stations closest to the fault (Shakal et al 2005). Similar observations can be also made about 1999 M7.6 Chi-Chi and the 1979 M6.5 Imperial Valley earthquakes.…”
Section: Attenuation-model Developmentsupporting
confidence: 72%
“…Since the accelerations during the earthquake are estimated to be 0.2-0.45 g near Work Ranch (Shakal et al, 2005 , this issue), axial forces of up to 36 N were induced briefly on the eastern attachment point by the 8 kg mass of the invar rods. Forced displacement of this mount, or transient buckling of the rod, could thus be responsible for the observed coseismic signal.…”
Section: Alternative Explanation For Acoseismic Stepmentioning
confidence: 98%
“…Accelerograms of the 2004 Parkfield earthquake were obtained from CISN (California Integrated Seismic Network) database. In calculating the metadata for records from this earthquake, various publications were considered, including Shakal et al (2005), Langbein et al (2005), Liu et al (2006), Dreger et al (2005), and Kim and Dreger (2008). Accelerograms at AQK station during the 2009 L'Aquila earthquake were obtained from the online database of the Italian accelerometric network (Luzi et al 2008).…”
Section: Data Sourcementioning
confidence: 99%