Abstract
We analyze the location of earthquakes in near regional networks using complete seismic records. The method is based on the source scanning algorithm (SSA) of Kao and Shan (2004), but similarly to Grigoli et al. (2013), seismograms are substituted by a P-wave picker trace. The picker traces in a network are repeatedly stacked using grid of trial source positions, and hypocenter is identified with the point providing the best stack (the largest brightness). The first innovation of this paper is a new picker, measuring the ratio of the summed absolute values of seismogram in the right and left part of a moving time window, the RPA/LPA picker. The brightness maps based on this picker are clearer than those based on the STA/LTA picker. The second innovation is a simple theoretical model of the brightness maps. It makes it easy to identify how individual stations contribute to form the brightness spot. It is shown on synthetic tests that the performance of the method depends on focal mechanism, progressively improving from normal to reverse and strike-slip events. The method is successfully applied to four events of different mechanisms and depths, recorded at different ranges of epicentral distance by either broad-band sensors or accelerographs. The events have been located close to previously published epicenters. The brightness maps provide an estimate of the relative uncertainty of the (non-linear) location problem. The uncertainty estimate is also applicable without measured arrival times, “without earthquakes”, thus useful when designing or upgrading seismic networks for better location performance.
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Acknowledgment
For events 1 and 2, waveform data of the Hellenic Unified Seismic Network were used, in which 12 stations are owned by the Charles University in Prague and co-operated by the University of Patras. Event 3 was processed with open-access accelerometric data available from the Italian Strong Motion Network (ITACA). For event 4, we used the accelerograms of the National Strong Motion Network of Turkey (TR-KYH) available on Internet shortly after the earthquake. Constructive comments of Dr. C. Evangelidis and an anonymous reviewer are highly appreciated. Financial support was obtained from the Czech Republic grants: GAČR 210/11/0854, MSM 0021620860 and CzechGeo/EPOS LM2010008.
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Supplement S1
Real data, Event 1. The animation shows the set of snapshots of the RPA/LPA brightness (map view) calculated for varying trial origin time, step of 0.1 s. The optimum origin time is for snapshot no. 12. (GIF 615 kb)
Supplement S2
Same as Supplement S1, but for Event 2. The optimum origin time is for snapshot no. 13. (GIF 593 kb)
Supplement S3
Same as Supplement S1, but for Event 3. The optimum origin time is for snapshot no. 15. Red rectangle shows the fault plane after Gallovič and Zahradník, 2012. (GIF 650 kb)
Supplement S4
Same as Supplement S1, but for Event 4. The optimum origin time is for snapshot no. 12. Red rectangle shows the fault plane after Gallovič et al., 2013. (GIF 658 kb)
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Zahradník, J., Janský, J. & Plicka, V. Analysis of the source scanning algorithm with a new P-wave picker. J Seismol 19, 423–441 (2015). https://doi.org/10.1007/s10950-014-9475-7
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DOI: https://doi.org/10.1007/s10950-014-9475-7