2015
DOI: 10.1007/s00531-015-1217-8
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Rupture process for micro-earthquakes inferred from borehole seismic recordings

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Cited by 11 publications
(11 citation statements)
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References 44 publications
(39 reference statements)
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“…Our inversion is restricted to a single 1 km × 1 km fault plane that is divided into 961 32 × 32 m subfaults. We tested a smoothing factor of 200, following Taira et al [2015] in estimating the rupture processes of M~3 Hayward-Fault earthquakes. With a grid search approach, we then explored an optimal combination of the rupture velocity and risetime to maximize the goodness-of-fit of the MRF, defined as the variance reduction.…”
Section: Resultsmentioning
confidence: 99%
“…Our inversion is restricted to a single 1 km × 1 km fault plane that is divided into 961 32 × 32 m subfaults. We tested a smoothing factor of 200, following Taira et al [2015] in estimating the rupture processes of M~3 Hayward-Fault earthquakes. With a grid search approach, we then explored an optimal combination of the rupture velocity and risetime to maximize the goodness-of-fit of the MRF, defined as the variance reduction.…”
Section: Resultsmentioning
confidence: 99%
“…[]. At the same time, this observation indicates that it is not sufficient to only consider the average stress drop to examine the healing process and also that the actual slip distribution is needed to reveal spatial and temporal variations of a stress drop within the area of rupture [e.g., Taira et al ., ].…”
Section: Discussionmentioning
confidence: 99%
“…Older studies usually dealt with rupture properties of single earthquakes (Jost et al, 1998;Li et al, 1995), and only recently, larger sets of events were examined for complexities or directivity (Abercrombie et al, 2017;Calderoni et al, 2015;Kane et al, 2013;Lengliné & Got, 2011;Ross & Ben-Zion, 2016). Recent studies also analyzed microseismic events (Dreger et al, 2007;Folesky et al, 2015Folesky et al, , 2016Taira et al, 2015) in an effort to connect with the scales from physical rupture modeling in the laboratory and numerical modeling (e.g., Kaneko & Shearer, 2014Lapusta et al, 2000).…”
Section: Introductionmentioning
confidence: 99%