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.
Bibliographical noteFunding Information:
This research was supported by the Israel Ministry of Infrastructures and Israel Ministry of Absorption and Immigration through the KAMEA Science Foundation. We thank our colleagues from the Seismological division of the Geophysical Institute of Israel for discussions of the research, particularly Mr. Andrey Polozov and Mrs. Veronic Avirav, who provided expertise on the ISN detection algorithm and Mr. Dov Zakosky for administrative support of the work. We are grateful to the anonymous reviewers for valuable comments that greatly improved the manuscript.
© 2016, Springer Science+Business Media Dordrecht.
- Carl Johnson detection and association algorithm
- Detection probability of individual station
- Epicentral distance
- PMC method
- Probability of completeness magnitude
- Probability of seismic event detection
- Seismic bulletin, waveforms
- Seismic network detectability
ASJC Scopus subject areas
- Geochemistry and Petrology