Adapting Pipeline Architectures to Track Developing Aftershock Sequences and Recurrent Explosions (Postprint)
Abstract
Pattern detectors (e.g., correlation, subspace, and matched field detectors) fuse the signal detection and source identification processes into a single operation. The organization of repeating waveforms for efficient analyst interpretation may result in significant gains in productivity when analyzing extensive aftershock sequences and explosions from repeating sources. Under current practice, pattern detectors run entirely independently of the pipeline signal detectors and the preparation and supervision of pattern detectors is relatively labor-intensive. It is the aim of this two-year study to investigate algorithms for adapting processing pipelines to create and supervise pattern detectors semi-automatically for incoming multi-channel data streams. A functional model of an operational detection pipeline will be constructed with extensions that create and manage pattern detectors under a variety of spawning policies. The system will be tested on the October 2005 Kashmir earthquake and aftershock sequence using a network of observing seismic arrays and 3-component stations. This example is representative of challenging aftershock sequences given its vast number of events, relatively large source region, and absence of high-quality observations at close epicentral distances.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 08, 2012
- Accession Number
- ADA563378
Entities
People
- David B. Harris
- Douglas A. Dodge
- Steven J. Gibbons
- Tormod Kvaerna
Organizations
- Royal Norwegian Council for Scientific and Industrial Research