Abstract
The geographical area where a seismic event of magnitude M ≥ Mt is detected by a seismic station network, for a defined probability is derived from a station probability of detection estimated as a function of epicentral distance. The latter is determined from both the bulletin data and the waveforms recorded by the station during the occurrence of the event with and without band-pass filtering. For simulating the real detection process, the waveforms are processed using the conventional Carl Johnson detection and association algorithm. The attempt is presented to account for the association time criterion in addition to the conventional approach adopted by the known PMC method.
Original language | English |
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Pages (from-to) | 69-82 |
Number of pages | 14 |
Journal | Journal of Seismology |
Volume | 21 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2017 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016, Springer Science+Business Media Dordrecht.
Keywords
- Carl Johnson detection and association algorithm
- Detection probability of individual station
- Epicentral distance
- Magnitude
- PMC method
- Probability of completeness magnitude
- Probability of seismic event detection
- Seismic bulletin, waveforms
- Seismic network detectability
ASJC Scopus subject areas
- Geophysics
- Geochemistry and Petrology