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Detecting remotely triggered temporal changes around the Parkfield section of the San Andreas fault

Detecting remotely triggered temporal changes around the Parkfield section of the San Andreas fault
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摘要 Detecting temporal changes in fault zone properties at seismogenic depth have been a long-sought goal in the seismological community for many decades. Recent studies based on waveform analysis of repeating earthquakes have found clear temporal changes in the shallow crust and around active fault zones associated with the occurrences of large nearby and teleseismic earthquakes. However, repeating earthquakes only occur in certain locations and their occurrence times cannot be controlled, which may result in inadequate sampling of the interested regions or time periods. Recent developments in passive imaging via auto- and cross-correlation of ambient seismic wavefields (e.g., seismic noise, earthquake coda waves) provide an ideal source for continuous monitoring of temporal changes around active fault zones. Here we conduct a systematic search of temporal changes along the Parkfield section of the San Andreas fault by cross-correlating relatively high-frequency (0.4-1.3 Hz) ambient noise signals recorded by 10 borehole stations in the High Resolution Seismic Network. After using stretch/compressed method to measure the delay time and the decorrelation-index between the daily noise cross-correlation functions (NCCFs), we find clear temporal changes in the median seismic velocity and decorrelation-index associated with the 2004 M6.0 Parkfield earthquake. We also apply the same procedure to the seismic data around five regional/teleseismic events that have triggered non-volcanic tremor in the same region, but failed to find any clear temporal changes in the daily NCCFs. The fact that our current technique can detect temporal changes from the nearby but not regional and teleseismic events, suggests that temporal changes associated with distance sources are very subtle or localized so that they could not be detected within the resolution of the current technique (-0.2%). Detecting temporal changes in fault zone properties at seismogenic depth have been a long-sought goal in the seismological community for many decades. Recent studies based on waveform analysis of repeating earthquakes have found clear temporal changes in the shallow crust and around active fault zones associated with the occurrences of large nearby and teleseismic earthquakes. However, repeating earthquakes only occur in certain locations and their occurrence times cannot be controlled, which may result in inadequate sampling of the interested regions or time periods. Recent developments in passive imaging via auto- and cross-correlation of ambient seismic wavefields (e.g., seismic noise, earthquake coda waves) provide an ideal source for continuous monitoring of temporal changes around active fault zones. Here we conduct a systematic search of temporal changes along the Parkfield section of the San Andreas fault by cross-correlating relatively high-frequency (0.4-1.3 Hz) ambient noise signals recorded by 10 borehole stations in the High Resolution Seismic Network. After using stretch/compressed method to measure the delay time and the decorrelation-index between the daily noise cross-correlation functions (NCCFs), we find clear temporal changes in the median seismic velocity and decorrelation-index associated with the 2004 M6.0 Parkfield earthquake. We also apply the same procedure to the seismic data around five regional/teleseismic events that have triggered non-volcanic tremor in the same region, but failed to find any clear temporal changes in the daily NCCFs. The fact that our current technique can detect temporal changes from the nearby but not regional and teleseismic events, suggests that temporal changes associated with distance sources are very subtle or localized so that they could not be detected within the resolution of the current technique (-0.2%).
出处 《Earthquake Science》 CSCD 2010年第5期497-509,共13页 地震学报(英文版)
基金 funded in part by the National Science Foundation of United States under grants EAR-0710959 and EAR-0956051 support of U.S. Air Force Research Laboratory under grant FA8718-07-186 C-0005 and Dr. Peter Gerstoft
关键词 temporal changes remote triggering seismic noise CROSS-CORRELATION INTERFEROMETRY seismic coda temporal changes remote triggering seismic noise cross-correlation interferometry seismic coda
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参考文献81

  • 1Audet P (2010). Short note temporal variations in crustal scattering structure near Parkfield California, using receiver functions. Bull Seismol Soc Am 100:1 356-1 362, doi:10.1785/ 0120090299.
  • 2Bakun W H (1984). Seismic moments, local magnitudes, and coda-duration magnitudes for earthquakes in central California. Bull Seismol Soc Am 74: 439-458.
  • 3Bakun W H and Lindh A G (1985). The Parkfield, Califomia, earthquake prediction experiment. Science 229:619-624.
  • 4Brenguier F, Shapiro N M, Campillo M, Ferrazzini V, Duputel Z, Coutant O and Nercessian A (2008a). Towards forecasting volcanic eruptions using seismic noise. Nature Geoscience 1: 126-130, doi: 10.1038/ngeo104.
  • 5Brenguier F, Campillo M, Hadziioannou C, Shapiro N M, Nadeau R M and Larose E (2008b). Postseismic relaxation along the San Andreas fault at Parkfield from continuous seismological observations. Science 321:1 478-1 481.
  • 6Brodsky E E, Roeloffs E, Woodcock D, Gall I and Manga M (2003). A mechanism for sustained ground water pressure changes induced by distant earthquakes. J Geophys Res 108(B8): 2390, doi:10.1029/2002JB002321.
  • 7Chao K and Peng Z (2009). Temporal changes of shear wave velocity and anisotropy in the shallow crust induced by the 10/22/1999 M6.4 Chia-Yi, Taiwan, earthquake. Geophys J Int 179:1 800-1 816, doi: 10.1111/j.1365-246X.2009.04384.x.
  • 8Chen J H, Froment B, Liu Q Y and Campillo M (2010). Distribution of seismic wave speed changes associated with the 12 May 2008 Mw7.9 Wenchuan earthquake. Geophys Res Lett 37: L 18302, doi: 10.1029/2010GL044582.
  • 9Cheng X, Niu F and Wang B (2010). Coseismic velocity change in the rupture zone of the 2008 Mw7.9 Wenchuan earthquake observed from ambient seismic noise data. Bull Seismol Soc Am 100(5B), doi: 10.1785/0120090329.
  • 10Gerstoft P, Sabra K G, Roux P, Kuperman W A and Fehler M C (2006). Green's functions extraction and surface-wave tomo- graphy from microseisms in southern California. Geophysics 71:SI23-S131.

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