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The effect of distribution of stations upon location error: Statistical tests based on the double-difference earthquake location algorithm and the bootstrap method
Earth, Planets and Space volume 58, pagese9–e12(2006)
In this letter, we investigate the effect of station distribution (including the number and azimuthal gap of stations) upon location error based on the field data observed at Northern California Seismic Network (NCSN) using a double-difference earthquake location algorithm and a bootstrap method. The earthquakes relocated by all 117 stations are set as reference and the error of location is defined as the RMS of the difference to the reference. We find that the location error has a nonlinear relationship with the distribution of stations. The results may be used as guidelines for building seismic network.
Bartal, Y., Z. Somer, G. Leonard, D. M. Steinberg, and Y. B. Horin, Optimal seismic network in Israel in the context of the Comprehensive Test Ban Treaty, Bull. Seism. Soc. Am., 90, 151–165, 2000.
Bondár, I., S. C. Myers, E. R. Engdual, and E. A. Bergman, Epicentre accuracy based on seismic network criteria, Geophys. J. Int., 156, 483–496, 2004.
Efron, B., Bootstrap methods: another look at the jackknife, Annals of Statistics, 7, 1–26, 1979.
Efron, B., The Jackknife, the Bootsreap, and Other Resampling Plans, Philadelphia: SIAM, 92 pp, 1982.
Hardt, M. and F. Scherbaum, The design of optimum network for aftershock recordings, Geophys. J. Int., 117, 716–726, 1994.
Kijko, A., An algorithm for the optimum distribution of a regional seismic network, Pure App. Geophys., 115, 999–1009, 1977.
Marcello, V., A. Dario, and M. Enzo, Classificatin of seismic strain estimates in the Mediterranean region from a ‘bootstrap’ approach, Geophys. J. Int., 146, 399–415, 2001.
Rabinowitz, N. and D. M. Steinberg, Optimal configuration of a seismographic network: a statistical approach, Bull. Seism. Soc. Am., 80, 187–196, 1990.
Waldhauser, F. and W. L. Ellsworth, A double-difference earthquake location algorithm: method and application to the Northern Hayward fault, California, Bull. Seism. Soc. Am., 90, 1353–1368, 2000.
Zallen, R. Overview and application of percolation theory, Ann. Israel Phys. Soc, 2, 309–327, 1978.
Zhang, H. J. and C. H. Thurber, Double-difference tomography: the method and its application to the Hayward fault, California, Bull. Seism. Soc. Am., 93, 1875–1889, 2003.
Zhang, T. Z., Y Huang, and B. Wu, The effect of data recorded at nearby stations on relative location algorithm, Abstract of AGU fall meeting, S51B-1003, 2005.
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Bai, L., Wu, Z., Zhang, T. et al. The effect of distribution of stations upon location error: Statistical tests based on the double-difference earthquake location algorithm and the bootstrap method. Earth Planet Sp 58, e9–e12 (2006) doi:10.1186/BF03353364
- Number of stations
- azimuthal gap of stations
- location error
- double-difference earthquake location algorithm
- bootstrap method