PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

On estimating time offsets in the ambient noise correlation function caused by instrument response errors

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Broadband seismic networks are becoming more intensive, generating a large amount of data in the long-term collection process. When processing the data, the researchers rely almost on instrument response files to understand the information related to the instrument. Aiming at the process of instrument response recording and instrument response correction, we identify several sources of the instrument response phase error, including pole–zero change, the causality difference in instrument correction method, and the problem of filter coefficient recording. The data time offset range from the instrument response phase error is calculated from one sample point to several seconds using the ambient noise data recorded by multiple seismic stations. With different data delays, the time offset of the noise correlation function is estimated to be 74% to 99% of the data delay time. In addition, the influence of instrument response phase error on the measurement of seismic velocity change is analyzed by using ambient noise data with pole–zero change, and the results show that the abnormal wave velocity with exceeding the standard value is exactly in the time period of the instrument response error, which indicates that the instrument response error affects the study of seismology.
Czasopismo
Rocznik
Strony
1291--1301
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
  • College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China
  • National Geophysical Exploration Instrument Engineering Technology Research Center, Changchun 130026, China
autor
  • College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China
  • National Geophysical Exploration Instrument Engineering Technology Research Center, Changchun 130026, China
autor
  • College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China
  • National Geophysical Exploration Instrument Engineering Technology Research Center, Changchun 130026, China
autor
  • College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China
  • National Geophysical Exploration Instrument Engineering Technology Research Center, Changchun 130026, China
Bibliografia
  • 1. Bensen GD et al (2007) Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophys J Int 169:1239–1260. https://doi.org/10.1111/j.1365-246X.2007.03374.x
  • 2. Brenguier F, Campillo M, Hadziioannou C, Shapiro NM, Nadeau RM, Larose E (2008a) Postseismic relaxation along the San Andreas Fault at Parkfield from continuous seismological observations. Science 321:1478–1481. https://doi.org/10.1126/science.1160943
  • 3. Brenguier F, Shapiro NM, Campillo M, Ferrazzini V, Duputel Z, Coutant O, Nercessian A (2008b) Towards forecasting volcanic eruptions using seismic noise. Nat Geosci 1:126–130
  • 4. Brenguier F, Clarke D, Aoki Y, Shapiro NM, Campillo M, Ferrazzini V (2011) Monitoring volcanoes using seismic noise correlations. Comptes Rendus Geosci 343:633–638
  • 5. Campillo M, Paul A (2003) Long-range correlations in the diffuse seismic coda. Science 299:547–549. https://doi.org/10.1126/science.1078551
  • 6. Chávez-García FJ, Rodríguez M (2007) The correlation of microtremors: empirical limits and relations between results in frequency and time domains. Geophys J Int 171:657–664. https://doi.org/10.1111/j.1365-246X.2007.03529.x
  • 7. Davis P, Ishii M, Masters G (2005) An assessment of the accuracy of GSN sensor response information. Seismol Res Lett 76:678–683. https://doi.org/10.1785/gssrl.76.6.678
  • 8. Denolle MA, Dunham EM, Prieto GA, Beroza GC (2013) Ground motion prediction of realistic earthquake sources using the ambient seismic field. J Geophys Res Solid Earth 118:2102–2118
  • 9. Denolle MA, Dunham EM, Prieto GA, Beroza GC (2014) Strong ground motion prediction using virtual earthquakes. Science 343:399–403
  • 10. Derode A, Larose E, Campillo M, Fink M (2003) How to estimate the Green’s function of a heterogeneous medium between two passive sensors? application to acoustic waves. Appl Phys Lett 83:3054–3056. https://doi.org/10.1063/1.1617373
  • 11. Durand S, Montagner JP, Roux P, Brenguier F, Nadeau RM, Ricard Y (2011) Passive monitoring of anisotropy change associated with the Parkfield 2004 earthquake. Geophys Res Lett 38:142–154
  • 12. Gouédard P, Seher T, McGuire JJ, Collins JA, van der Hilst RD (2014) Correction of ocean-bottom seismometer instrumental clock errors using ambient seismic noise. Bull Seismol Soc Am 104:1276–1288. https://doi.org/10.1785/0120130157
  • 13. Haney MM, Power J, West M, Michaels P (2012) Causal instrument corrections for short-period and broadband seismometers. Seismol Res Lett 83:834–845. https://doi.org/10.1785/0220120031
  • 14. Hannemann K, Krüger F, Dahm T (2014) Measuring of clock drift rates and static time offsets of ocean bottom stations by means of ambient noise. Geophys J Int 196:1034–1042. https://doi.org/10.1093/gji/ggt434
  • 15. Lin FC, Ritzwoller MH, Townend J, Bannister S, Savage MK (2007) Ambient noise Rayleigh wave tomography of New Zealand. Geophys J R Astron Soc 170:649–666
  • 16. Meier U, Shapiro NM, Brenguier F (2010) Detecting seasonal variations in seismic velocities within Los Angeles basin from correlations of ambient seismic noise. Geophys J Int 181:985. https://doi.org/10.1111/j.1365-246X.2010.04550.x
  • 17. Moschetti MP, Ritzwoller MH, Shapiro NM (2007) Surface wave tomography of the western United States from ambient seismic noise: Rayleigh wave group velocity maps. Geochem Geophys Geosyst 8:Q08010. https://doi.org/10.1029/2007GC001655
  • 18. Paul A, Campillo M, Margerin L, Larose E, Derode A (2005) Empirical synthesis of time-asymmetrical Green functions from the correlation of coda waves. J Geophys Res Solid Earth 110:B08302. https://doi.org/10.1029/2004JB003521
  • 19. Prieto GA, Beroza GC (2008) Earthquake ground motion prediction using the ambient seismic field. Geophys Res Lett 35:137–149
  • 20. Sabra KG, Gerstoft P, Roux P, Kuperman WA, Fehler MC (2005) Extracting time-domain Green’s function estimates from ambient seismic noise. Geophys Res Lett 32:L03310. https://doi.org/10.1029/2004GL021862
  • 21. Sato H (2013) Green's function retrieval from the CCF of random waves and energy conservation for an obstacle of arbitrary shape: noise source distribution on a large surrounding shell. Geophys J Int 193:997–1009. https://doi.org/10.1093/gji/ggt032
  • 22. Seats KJ, Lawrence JF, Prieto GA (2012) Improved ambient noise correlation functions using Welch’s method. Geophys J Int 188:513–523. https://doi.org/10.1111/j.1365-246X.2011.05263.x
  • 23. Sens-Schönfelder C (2008) Synchronizing seismic networks with ambient noise. Geophys J Int 174:966–970. https://doi.org/10.1111/j.1365-246X.2008.03842.x
  • 24. Sens-Schönfelder C, Wegler U (2006) Passive image interferometry and seasonal variations of seismic velocities at Merapi Volcano, Indonesia. Geophys Res Lett 33:L21302. https://doi.org/10.1029/2006GL027797
  • 25. Shapiro NM, Campillo M (2004) Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise. Geophys Res Lett 31:07614. https://doi.org/10.1029/2004gl019491
  • 26. Shapiro NM, Campillo M, Stehly L, Ritzwoller MH (2005) High-resolution surface-wave tomography from ambient seismic noise. Science 307:1615–1618. https://doi.org/10.1126/science.1108339
  • 27. Snieder R (2004) Extracting the Green’s function from the correlation of coda waves: a derivation based on stationary phase. Phys Rev E. https://doi.org/10.1103/physreve.69.046610
  • 28. Stehly L, Campillo M, Shapiro NM (2006) A study of the seismic noise from its long-range correlation properties. J Geophys Res Solid Earth 111:B10306. https://doi.org/10.1029/2005JB004237
  • 29. Stehly L, Campillo M, Shapiro NM (2007) Traveltime measurements from noise correlation: stability and detection of instrumental time-shifts. Geophys J Int 171:223–230. https://doi.org/10.1111/j.1365-246X.2007.03492.x
  • 30. Weaver RL, Lobkis OI (2001) Ultrasonics without a source: thermal fluctuation correlations at MHz frequencies. Phys Rev Lett 87:134301. https://doi.org/10.1103/PhysRevLett.87.134301
  • 31. Wegler U, Sens-Schönfelder C (2007) Fault zone monitoring with passive image interferometry. Geophys J Int 168:1029–1033. https://doi.org/10.1111/j.1365-246X.2006.03284.x
  • 32. Xia Y, Ni S, Zeng X, Xie J, Wang B, Yuan S (2015) Synchronizing intercontinental seismic networks using the 26 s persistent localized microseismic source. Bull Seismol Soc Am 105:2101–2108. https://doi.org/10.1785/0120140252
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d6179251-779d-40ed-a295-ce96d97c6220
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.