Lg-Wave Cross Correlation and Epicentral Double-Difference Location in and near China

被引:7
|
作者
Schaff, David P. [1 ]
Richards, Paul G. [1 ]
Slinkard, Megan [2 ]
Heck, Stephen [2 ]
Young, Christopher [2 ]
机构
[1] Columbia Univ, Lamont Doherty Earth Observ, 61 Route 9W, Palisades, NY 10964 USA
[2] Sandia Natl Labs, POB 5800,Mail Stop 0404, Albuquerque, NM 87108 USA
关键词
CALIFORNIA HYPOCENTER RELOCATION; EARTHQUAKE LOCATION; CALAVERAS FAULT; SURFACE-WAVES; 1999; XIUYAN; SEISMICITY; PARKFIELD; MICROEARTHQUAKES; AFTERSHOCKS; ALGORITHM;
D O I
10.1785/0120170137
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We perform epicentral relocations for a broad area using cross-correlation measurements made on Lg waves recorded at regional distances on a sparse station network. Using a two-step procedure (pairwise locations and cluster locations), we obtain final locations for 5623 events-3689 for all of China from 1985 to 2005 and 1934 for the Wenchuan area from May to August 2008. These high-quality locations comprise 20% of a starting catalog for all of China and 25% of a catalog for Wenchuan. Of the 1934 events located for Wenchuan, 1662 (86%) were newly detected. The final locations explain the residuals 89 times better than the catalog locations for all of China (3.7302-0.0417 s) and 32 times better than the catalog locations for Wenchuan (0.8413-0.0267 s). The average semimajor axes of the 95% confidence ellipses are 420 m for all of China and 370 m for Wenchuan. The average azimuthal gaps are 205 degrees for all of China and 266 degrees for Wenchuan. 98% of the station distances for all of China are over 200 km The mean and maximum station distances are 898 and 2174 km The robustness of our location estimates and various trade-offs and sensitivities is explored with different inversion parameters for the location, such as starting locations for iterative solutions and which singular values to include. Our results provide order-of-magnitude improvements in locations for event clusters, using waveforms from a very sparse far-regional network for which data are openly available.
引用
收藏
页码:1326 / 1345
页数:20
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