2017
DOI: 10.1016/j.epsl.2017.01.046
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Characteristics of secondary slip fronts associated with slow earthquakes in Cascadia

Abstract: We implement an algorithm to automatically detect migrations of low frequency earthquakes at time scales between 30 min and 32 h during the 2003, 2004 and 2005 slow slip events in Cascadia. We interpret these migrations of seismicity as a passive manifestation of secondary slip fronts (SSFs) that propagate faster than the main front. We identify the dominant features of 383 SSFs, including time, location, duration, area, propagation velocity and estimate: their moment, stress drop, slip, and slip rate. We appl… Show more

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Cited by 30 publications
(71 citation statements)
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References 51 publications
(49 reference statements)
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“…According to the proportionality between tremor migration speed and the background slow slip velocity (Equation 11), this slowdown reflects the spatial distribution of the slip velocity of the SSE pulse. This model feature is consistent with observations by Bletery et al (2017) of a tendency of tremor migration to slow down further behind the SSE front. This suggests that RTR migration speed provides a constraint on the spatial distribution of slip velocity in an SSE, and the distance reached by RTRs constrains the width of an SSE pulse.…”
Section: Rtr Propagation Distance Velocity and Possible Implicationssupporting
confidence: 81%
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“…According to the proportionality between tremor migration speed and the background slow slip velocity (Equation 11), this slowdown reflects the spatial distribution of the slip velocity of the SSE pulse. This model feature is consistent with observations by Bletery et al (2017) of a tendency of tremor migration to slow down further behind the SSE front. This suggests that RTR migration speed provides a constraint on the spatial distribution of slip velocity in an SSE, and the distance reached by RTRs constrains the width of an SSE pulse.…”
Section: Rtr Propagation Distance Velocity and Possible Implicationssupporting
confidence: 81%
“…Thus we interpret the very fast (mostly) along-dip tremor swarms as running along the front of the SSE pulse, where the highest V bg values are concentrated, and RTRs as swarms running into the tail of the SSE pulse, where V bg is lower. The slowdown of RTRs (Bletery et al 2017) and tremor branching are interpreted as swarms running further into the SSE pulse tail where V bg gradually decreases.…”
Section: Conceptual Modelsmentioning
confidence: 99%
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“…Bartlow et al, 2014;Bletery et al, 2017;Bostock et al, 2015;Brodsky & Mori, 2007;Hawthorne et al, 2016;Ide et al, 2007;Ito & Obara, 2006; long timescale) Episodic (short timescale) Continuous (short timescale) (a) versus median slip per episode. (b) versus median slip between episodes.…”
mentioning
confidence: 99%
“…It is likely that in some areas, the distribution of pore fluid pressures is close to lithostatic (e.g., Byerlee, 1990;Faulkner & Rutter, 2001;Rice, 1992;Streit & Cox, 2001), taking the form p = gh + C and breaking with the linear depth dependency of c predicted by equation (11). Near-lithostatic pore fluid pressure appears, for instance, to be required to explain the characteristics of slow earthquakes (e.g., Audet & Bürgmann, 2014;Liu & Rice, 2007;Segall et al, 2010) and other slow-slip phenomena (e.g., Bletery et al, 2017;Shelly et al, 2006), in particular their sensitivity to extremely small tidal stress perturbations (Thomas et al, 2009). Such phenomena are well documented in Nankai both at depth and in the wedge (e.g., Nakajima & Hasegawa, 2016;Obara & Kato, 2016;Shelly et al, 2006), implying that the actual shear strength in the Nankai section (contours n ∘ 12 and n ∘ 13 in Figure 4) is probably locally much smaller than suggested in Figure 4.…”
Section: Resultsmentioning
confidence: 99%