Directly estimating earthquake rupture area using second moments to reduce the uncertainty in stress drop

dc.contributor.author McGuire, Jeffrey J.
dc.contributor.author Kaneko, Yoshihiro
dc.date.accessioned 2018-08-10T14:44:46Z
dc.date.available 2018-08-10T14:44:46Z
dc.date.issued 2018-06-01
dc.description Author Posting. © The Author(s), 2018. This article is posted here by permission of Oxford University Press for personal use, not for redistribution. The definitive version was published in Geophysical Journal International 214 (2018): 2224–2235, doi:10.1093/gji/ggy201. en_US
dc.description.abstract The key kinematic earthquake source parameters: rupture velocity, duration and area, shed light on earthquake dynamics, provide direct constraints on stress drop, and have implications for seismic hazard. However, for moderate and small earthquakes, these parameters are usually poorly constrained due to limitations of the standard analysis methods. Numerical experiments by Kaneko and Shearer demonstrated that standard spectral fitting techniques can lead to roughly one order of magnitude variation in stress-drop estimates that do not reflect the actual rupture properties even for simple crack models. We utilize these models to explore an alternative approach where we estimate the rupture area directly. For the suite of models, the area averaged static stress drop is nearly constant for models with the same underlying friction law, yet corner-frequency-based stress-drop estimates vary by a factor of 5–10 even for noise-free data. Alternatively, we simulated inversions for the rupture area as parametrized by the second moments of the slip distribution. A natural estimate for the rupture area derived from the second moments is A = πLcWc, where Lc and Wc are the characteristic rupture length and width. This definition yields estimates of stress drop that vary by only 10 per cent between the models but are slightly larger than the true area averaged values. We simulate inversions for the second moments for the various models and find that the area can be estimated well when there are at least 15 available measurements of apparent duration at a variety of take-off angles. The improvement compared to azimuthally averaged corner-frequency-based approaches results from the second moments accounting for directivity and removing the assumption of a circular rupture area, both of which bias the standard approach. We also develop a new method that determines the minimum and maximum values of rupture area that are consistent with a particular data set at the 95 per cent confidence level. For the Kaneko and Shearer models with 20+ randomly distributed observations and ∼10 per cent noise levels, we find that the maximum and minimum bounds on rupture area typically vary by a factor of two and that the minimum stress drop is often more tightly constrained than the maximum. en_US
dc.description.sponsorship This work was supported by USGS NEHRP Award G17AP00029. The research was supported by the Southern California Earthquake Center (SCEC; Contribution No. 8013). SCEC is funded by NSF Cooperative Agreement EAR-1033462 and USGS Cooperative Agreement G12AC20038. YK was supported by both public funding from the Government of New Zealand and the Royal Society of New Zealand’s Rutherford Discovery Fellowship. en_US
dc.identifier.citation Geophysical Journal International 214 (2018): 2224–2235 en_US
dc.identifier.doi 10.1093/gji/ggy201
dc.identifier.uri https://hdl.handle.net/1912/10519
dc.language.iso en_US en_US
dc.publisher Oxford University Press en_US
dc.relation.uri https://doi.org/10.1093/gji/ggy201
dc.subject Earthquake dynamics en_US
dc.subject Earthquake source observations en_US
dc.subject Body waves en_US
dc.title Directly estimating earthquake rupture area using second moments to reduce the uncertainty in stress drop en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 57e45734-8543-48db-8f82-0b6f795db915
relation.isAuthorOfPublication 04545109-213a-4805-b0ef-c8a7577ed269
relation.isAuthorOfPublication.latestForDiscovery 57e45734-8543-48db-8f82-0b6f795db915
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