Microseismic event detection using local coherence: applications to the Long Beach 3D array and the Hi-CLIMB linear array

Zhigang Peng, Zefeng Li, Dongdong Yao, Daniel D. Hollis, & William Frank

Published August 15, 2016, SCEC Contribution #6848, 2016 SCEC Annual Meeting Poster #233

We recently developed a new method for seismic event detection, specifically designed for ultra-dense nodal-type seismic arrays [Li and Peng, in prep]. This method involves a function termed “local coherence” which quantifies the coherence of signals between the examined station and its nearest 5 neighbors. We apply this method to one-week continuous data collected by the 5200-sensor Long Beach array, and detected many very weak events that were buried in background noise and not listed in the local earthquake catalogs. To test its performance on a regular dense array, we also apply it to the Hi-CLIMB array across the Himalayan frontal thrusts. The phase I array of the project has 81 broadband stations, and the inter-station distance is 3-5 km. During one-month test period, we detected numerous distant, regional and local seismic events. While most of them are regular earthquakes, some are likely surface events such as landslides. We plan to apply the method to the entire time period and classify the detected events into different types. Updated results will be presented at the meeting.

Key Words
Microseismic Event, Long-Beach Array

Citation
Peng, Z., Li, Z., Yao, D., Hollis, D. D., & Frank, W. (2016, 08). Microseismic event detection using local coherence: applications to the Long Beach 3D array and the Hi-CLIMB linear array. Poster Presentation at 2016 SCEC Annual Meeting.

Related Projects & Working Groups
Seismology