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Wang Jun, Zheng Dingchang, Zhan Xiaoyan, Jiang Haolin, Miao Fajun, Gao Jingchun. 2013: Estimation of time error for a single station based on Green’s function by ambient noise cross-correlation. Acta Seismologica Sinica, 35(6): 888-901. DOI: 10.3969/j.issn.0253-3782.2013.06.012
Citation: Wang Jun, Zheng Dingchang, Zhan Xiaoyan, Jiang Haolin, Miao Fajun, Gao Jingchun. 2013: Estimation of time error for a single station based on Green’s function by ambient noise cross-correlation. Acta Seismologica Sinica, 35(6): 888-901. DOI: 10.3969/j.issn.0253-3782.2013.06.012
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Estimation of time error for a single station based on Green’s function by ambient noise cross-correlation

  • 1.

    Earthquake Administration of Jiangsu Province, Nanjing 210014, China

  • 2.

    Earthquake Administration of Yunnan Province, Kunming 650224, China

  • 3.

    Earthquake Administration of Hebei Province, Shijiazhuang 050021, China

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  • Received Date: July 18, 2012
  • Revised Date: November 08, 2012
  • Published Date: October 31, 2013
    Graphical Abstract
    • Abstract
  • From the broadband data recorded by the digital seismic network of Jiangsu Province in 2011, this paper selected two station groups A and B (each has four stations). The two groups were under different ambient noise area and the average station distances were 44.6 km and 30.5 km, respectively. Firstly, by the sliding window cross-correlation technique, the offsets of the Green’s function were measured by ambient noise cross correlation between station-pairs in the year 2011. Then, the singular value decomposition was applied to solve the over-determined equation of ΔDSi-Sj and the coefficient matrices, so as to calculate clock error ΔSi for a single station. And the covariance matrix was introduced to estimate the error range of calculation results under different confidence level. The results showed that ignoring the obvious clock error ( >3 s), the average RMS of time errors for eight stations was about 0.4215 s, and on the 95% confidence level, the errors ranges for the two groups of stations were ±0.454 4s and ±0.4283, respectively. The average travel time residual was about 0.386 s by adopting HYPOSAT to locate actual earthquakes in Jiangsu region during the period of 2010—2011. Therefore, both residuals are consistent in accuracy, suggesting it is reliable to estimate the time error for a single station based on Green’s function by noise cross-correlation.
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  • 刘志坤, 黄金莉. 2010. 利用背景噪声互相关研究汶川地震震源区地震波速度变化[J].地球物理学报, 53 (4): 853-863.
    王俊, 徐戈, 孙业君. 2009. 江苏省区域地表背景噪声特性的分析[J].地震研究, 32 (2): 155-161.
    王伟涛, 倪四道, 王宝善. 2011. 地球背景噪声干涉应用研究的新进展[J].中国地震, 27 (1): 1-13.
    夏英杰, 倪四道, 曾祥方. 2011. 汶川地震前地脉动信号的单台法研究[J].地球物理学报, 54 (10): 2590-2596.
    张雁滨, 蒋骏, 李胜乐, 陈德璁, 杨辉, 李畅. 2010. 热带气旋引起的震颤波[J].地球物理学报, 53 (2): 335-341.
    张志涌等(编著). 2011. 精通MATLAB R2011a[M]. 北京: 北京航空航天大学出版社: 125-133.
    中华人民共和国国家质量监督检验检疫总局. 2004. 地震台站观测环境技术要求 (GB/T19531.4-2004)[S]. 北京: 中国标准出版社: 1-12.
    Bensen G D, Ritzwoller M H, Barmin M P, Levshin A L, Lin F, Moschetti M P, Shapiro N M, Yang Y. 2007. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements[J].Geophys J Int, 169 (3): 1239-1260.
    Bormann P. 2012. New Manual of Seismological Observatory Practice[M/OL]. Potsdam: GFZ German Research Centre for Geosciences: 16-20, doi:10.2312/GFZ.NMSOP-2_ch8. [2012-03-20].http://bib.telegrafenberg.de/publizieren/vertrieb/nmsop/.
    Brenguier F, Shapiro N M, Campillo M, Ferrazzini V, Duputel Z, Coutant O, Nercessian A. 2008. Towards forecasting volcanic eruptions using seismic noise[J].Nature Geoscience, 1 : 126-130.
    Campillo M, Paul A. 2003. Long-range correlations in the diffuse seismic coda[J].Science, 299 (5606): 547-549.
    Clarke D, Zaccarelli L N, Shaprio M, Brenguier F. 2011. Assessment of resolution and accuracy of moving window cross spectral technique for monitoring crustal temporal variations using ambient seismic noise[J].Geophys J Int, 186 (2): 867-882.
    Dennis M L. 2008. The proof of the position is in the testing[C]//42nd Annual Alaska Surveying and Mapping Conference. Alaska: Urban and Regional Information Systems Association: 1-4.
    Klein F W. 2002. User's Guide to HYPOINVERSE-2000, a Fortran Program to Solve for Earthquake Locations and Magnitudes[R]. US Geological Survey Open File Report 02-171: 116-120.
    Larose E, Margerin L, Derode A, Fink M. 2006. Correlation of random wave fields: an interdisciplinary review[J].Geophysics, 71 (4): 111-121.
    Lobkis O, Weaver R. 2001. On the emergence of the Green's function in the correlations of a diffuse field [J].J Acoust Soc Amer, 110 (6): 3011-3017.
    Longuet H M S. 1950. A theory of the origin of microseisms[J].Philos T R Soc A, 243 (857): 1-35.
    McNamara D E, Boaz R I. 2005. Seismic Noise Analysis System Using Power Spectral Density Probability Density Functions: A Stand-Alone So ftware Package[R]. US Geological Survey Open-File Report: 11-20.
    Menke W. 1984. Geophysical Data Analysis: Discrete Inverse Theory[M] . Orlando, Florida: Academic Press: 89-114.
    Nakahara H. 2006. A systematic study of theoretical relations between spatial correlation and Green's function in one-, two- and three-dimensional random scalar wavefields[J].Geophys J Int, 167 (3): 1097-1105.
    Sabra K G, Gerstoft P, Roux P, Kuperman W A, Fehler M C. 2005. Extracting time-domain Green's function estimates from ambient seismic noise[J].Geophys Res Lett, 32 (3): L03310, doi:10.1029/2004GL02/1862.
    S′anchez S F, Campillo M. 2006. Retrieval of the Green's function from cross correlation: the canonical elastic problem[J].Bull Seism Soc Amer, 96 (3): 1182-1191.
    Schönfelder C S. 2008. Synchronizing seismic networks with ambient noise[J].Geophys J Int, 174 (3): 966-970.
    Schönfelder C S, Wegler U. 2006. Passive image interferometry and seasonal variations of seismic velocities at Merapi Volcano, Indonesia[J].Geophys Res Lett, 33 (21): L21302, doi:10.1029/2006GL027797.
    Schweitzer J. 2001. HYPOSAT: An enhanced routine to locate seismic events[J].Pure Appl Geophys, 158 (1/2): 277-289.
    Shapiro N M, Campillo M. 2004. Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise[J].Geophys Res Lett, 31 (7), doi:10.1029/2004GL019491.
    Shapiro N M, Campillo M, Stehly L, Ritzwoller M H. 2005. High resolution surface wave tomography from ambient seismic noise[J].Science, 307 (5715): 1615-1618.
    Stehly L, Campillo M, Shapiro N M. 2006. A study of the seismic noise from its long range correlation properties[J].J Geophys Res, 111 (B10): B10306.
    Stehly L, Campillo M, Shapiro N M. 2007. Traveltime measurements from noise correlation: Stability and detection of instrumental time-shifts[J].Geophys J Int, 171 (1): 223-230.
    Wegler U, Schönfelder C S. 2007. Fault zone monitoring with passive image interferometry[J]. Geophys Res Lett, 168 (3): 1029-1033.
    Yao H J, van der Hilst R D, de Hoop M V. 2006. Surface wave array tomography in SE Tibet from ambient seismic noise and two-station analysis: Ⅱ . Crustal and upper-mantle structure[J]. Geophys J Int, 173 (1): 205-219.
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