Seismic network detection probability assessment using waveforms and accounting to event association logic

Vladimir Pinsky; Avi Shapira

doi:10.1007/s10950-016-9583-7

Seismic network detection probability assessment using waveforms and accounting to event association logic

Vladimir Pinsky, Avi Shapira

Research output: Contribution to journal › Article › peer-review

Abstract

The geographical area where a seismic event of magnitude M ≥ M_t 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
Pages (from-to)	69-82
Number of pages	14
Journal	Journal of Seismology
Volume	21
Issue number	1
DOIs	https://doi.org/10.1007/s10950-016-9583-7
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10950-016-9583-7

Cite this

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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.",

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AB - 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.

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KW - Epicentral distance

KW - Magnitude

KW - PMC method

KW - Probability of completeness magnitude

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KW - Seismic bulletin, waveforms

KW - Seismic network detectability

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Seismic network detection probability assessment using waveforms and accounting to event association logic

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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