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Inversion for the composite moment tensor

Vaclav Vavrycuk
Inversion for the composite moment tensor
Bulletin of the Seismological Society of America (December 2015) 105 (6): 3024-3035

Abstract

The composite moment tensor is defined in analogy to the composite focal mechanism as the averaged representative seismic moment tensor characteristic for a focal area under study. In contrast to the composite focal mechanism, which provides information on shear faulting, the composite moment tensor can provide additional information on nonshear rupture mode and on physical conditions along the fault. The composite moment tensor is calculated by a joint inversion of multiple earthquakes associated with the same fault system and displaying a similar focal mechanism. The method utilizes amplitudes of P and/or S waves or full waveforms. Because the inversion is linear, it is fast and applicable to datasets of many earthquakes. The method is particularly suitable for the analysis of microseismicity, earthquake swarms, or aftershock sequences, where observations of multiple earthquakes are available. The composite moment tensor can be retrieved even when the station configuration or data quality prevent inversion for the full moment tensors of individual earthquakes.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 105
Serial Issue: 6
Title: Inversion for the composite moment tensor
Author(s): Vavrycuk, Vaclav
Affiliation: Czech Academy of Sciences, Institute of Geophysics, Prague, Czech Republic
Pages: 3024-3035
Published: 201512
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 42
Accession Number: 2016-007478
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table, sketch map
N50°00'00" - N50°19'60", E12°10'00" - E12°40'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute.
Update Code: 201604
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