Literature DB >> 18615082

Preseismic velocity changes observed from active source monitoring at the Parkfield SAFOD drill site.

Fenglin Niu1, Paul G Silver, Thomas M Daley, Xin Cheng, Ernest L Majer.   

Abstract

Measuring stress changes within seismically active fault zones has been a long-sought goal of seismology. One approach is to exploit the stress dependence of seismic wave velocity, and we have investigated this in an active source cross-well experiment at the San Andreas Fault Observatory at Depth (SAFOD) drill site. Here we show that stress changes are indeed measurable using this technique. Over a two-month period, we observed an excellent anti-correlation between changes in the time required for a shear wave to travel through the rock along a fixed pathway (a few microseconds) and variations in barometric pressure. We also observed two large excursions in the travel-time data that are coincident with two earthquakes that are among those predicted to produce the largest coseismic stress changes at SAFOD. The two excursions started approximately 10 and 2 hours before the events, respectively, suggesting that they may be related to pre-rupture stress induced changes in crack properties, as observed in early laboratory studies.

Entities:  

Year:  2008        PMID: 18615082     DOI: 10.1038/nature07111

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  14 in total

1.  Temporal changes of surface wave velocity associated with major Sumatra earthquakes from ambient noise correlation.

Authors:  Zhen J Xu; Xiaodong Song
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

2.  Machine Learning Predicts the Timing and Shear Stress Evolution of Lab Earthquakes Using Active Seismic Monitoring of Fault Zone Processes.

Authors:  Srisharan Shreedharan; David Chas Bolton; Jacques Rivière; Chris Marone
Journal:  J Geophys Res Solid Earth       Date:  2021-07-19       Impact factor: 4.390

3.  Rayleigh-wave attenuation across the conterminous United States in the microseism frequency band.

Authors:  Fabrizio Magrini; Lapo Boschi; Lucia Gualtieri; Vedran Lekić; Fabio Cammarano
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

4.  Spatial and temporal seismic velocity changes on Kyushu Island during the 2016 Kumamoto earthquake.

Authors:  Hiro Nimiya; Tatsunori Ikeda; Takeshi Tsuji
Journal:  Sci Adv       Date:  2017-11-24       Impact factor: 14.136

5.  Cascading elastic perturbation in Japan due to the 2012 M w 8.6 Indian Ocean earthquake.

Authors:  Andrew A Delorey; Kevin Chao; Kazushige Obara; Paul A Johnson
Journal:  Sci Adv       Date:  2015-10-16       Impact factor: 14.136

6.  Precursory changes in seismic velocity for the spectrum of earthquake failure modes.

Authors:  M M Scuderi; C Marone; E Tinti; G Di Stefano; C Collettini
Journal:  Nat Geosci       Date:  2016-08-08       Impact factor: 16.908

7.  An Electrochemical, Low-Frequency Seismic Micro-Sensor Based on MEMS with a Force-Balanced Feedback System.

Authors:  Guanglei Li; Junbo Wang; Deyong Chen; Jian Chen; Lianhong Chen; Chao Xu
Journal:  Sensors (Basel)       Date:  2017-09-13       Impact factor: 3.576

8.  A Flexible Sensing Unit Manufacturing Method of Electrochemical Seismic Sensor.

Authors:  Guanglei Li; Zhenyuan Sun; Junbo Wang; Deyong Chen; Jian Chen; Lianhong Chen; Chao Xu; Wenjie Qi; Yu Zheng
Journal:  Sensors (Basel)       Date:  2018-04-11       Impact factor: 3.576

9.  Traces Of Laboratory Earthquake Nucleation In The Spectrum Of Ambient Noise.

Authors:  Gevorg G Kocharyan; Alexey A Ostapchuk; Dmitry V Pavlov
Journal:  Sci Rep       Date:  2018-07-17       Impact factor: 4.379

10.  Microelectromechanical System-Based Electrochemical Seismometers with Two Pairs of Electrodes Integrated on One Chip.

Authors:  Xichen Zheng; Deyong Chen; Junbo Wang; Jian Chen; Chao Xu; Wenjie Qi; Bowen Liu
Journal:  Sensors (Basel)       Date:  2019-09-13       Impact factor: 3.576

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