Simultaneous long-term and short-term slow slip events at the Hikurangi subduction margin, New Zealand: Implications for processes that control slow slip event occurrence, duration, and migration

2012 ◽  
Vol 117 (B11) ◽  
pp. n/a-n/a ◽  
Author(s):  
Laura M. Wallace ◽  
John Beavan ◽  
Stephen Bannister ◽  
Charles Williams
Keyword(s):  
New Zealand ◽  
Slow Slip ◽  
Short Term ◽  
Slow Slip Events ◽  
Slow Slip Event ◽  
Slip Event ◽  
And Migration ◽  
Event Occurrence

Observing seismic signatures of slow slip events with unsupervised learning

2021 ◽  
Author(s):  
Leonard Seydoux ◽  
Michel Campillo ◽  
René Steinmann ◽  
Randall Balestriero ◽  
Maarten de Hoop
Keyword(s):  
Clustering Algorithm ◽  
Low Frequency ◽  
Seismic Signal ◽  
Geodetic Data ◽  
Slow Slip ◽  
Slow Slip Events ◽  
Slow Slip Event ◽  
Intermittent Behavior ◽  
Slow Earthquakes ◽  
Slip Event

<p>Slow slip events are observed in geodetic data, and are occasionally associated with seismic signatures such as slow earthquakes (low-frequency earthquakes, tectonic tremors). In particular, it was shown that swarms of slow earthquake can correlate with slow slip events occurrence, and allowed to reveal the intermittent behavior of several slow slip events. This observation was possible thanks to detailed analysis of slow earthquakes catalogs and continuous geodetic data, but in every case, was limited to particular classes of seismic signatures. In the present study, we propose to infer the classes of seismic signals that best correlate with the observed geodetic data, including the slow slip event. We use a scattering network (a neural network with wavelet filters) in order to find meaningful signal features, and apply a hierarchical clustering algorithm in order to infer classes of seismic signal. We then apply a regression algorithm in order to predict the geodetic data, including slow slip events, from the occurrence of inferred seismic classes. This allow to (1) identify seismic signatures associated with the slow slip events as well as (2) infer the the contribution of each classes to the overall displacement observed in the geodetic data. We illustrate our strategy by revisiting the slow-slip event of 2006 that occurred beneath Guerrero, Mexico.</p>

scholarly journals Seismicity at the Northern Hikurangi Margin, New Zealand, and Investigation of the Potential Spatial and Temporal Relationships With a Shallow Slow Slip Event

2019 ◽  
Vol 124 (5) ◽  
pp. 4751-4766 ◽  
Author(s):  
J. Yarce ◽  
A. F. Sheehan ◽  
J. S. Nakai ◽  
S. Y. Schwartz ◽  
K. Mochizuki ◽  
...  
Keyword(s):  
New Zealand ◽  
Slow Slip ◽  
Slow Slip Event ◽  
Temporal Relationships ◽  
Slip Event

scholarly journals Slow slip on the northern Hikurangi subduction interface, New Zealand

2021 ◽  
Author(s):  
A Douglas ◽  
J Beavan ◽  
L Wallace ◽  
John Townend
Keyword(s):  
New Zealand ◽  
Surface Displacement ◽  
Seismogenic Zone ◽  
Gps Data ◽  
Slow Slip ◽  
Slow Slip Event ◽  
Slip Event ◽  
American Geophysical ◽  
Continuous Gps ◽  
American Geophysical Union

In October 2002, a surface displacement episode of 20-30 mm magnitude was observed over a ∼10 day period on two continuous Global Positioning System (GPS) instruments near Gisborne, North Island, New Zealand. We interpret this to result from slow slip on the northern Hikurangi subduction interface. Using ten years of regional campaign GPS (1995-2004) and recent continuous GPS data, we estimate the recurrence interval for similar events to be 2-3 yrs. In November 2004, a similar slow slip event occurred within this recurrence period. The 2002 event can be modeled by ∼18 cm of slow slip near the down-dip end of the seismogenic zone on the subduction interface offshore of Gisborne. The campaign GPS data show that the 2002 slow slip event had little effect on regional strain patterns. Copyright 2005 by the American Geophysical Union.

scholarly journals Spatial and temporal evolution of a long term slow slip event: the 2006 Guerrero Slow Slip Event

2010 ◽  
Vol 184 (2) ◽  
pp. 816-828 ◽  
Author(s):  
M. Radiguet ◽  
F. Cotton ◽  
M. Vergnolle ◽  
M. Campillo ◽  
B. Valette ◽  
...  
Keyword(s):  
Temporal Evolution ◽  
Slow Slip ◽  
Slow Slip Event ◽  
Slip Event

scholarly journals Slow Slip Events Following the 2002 Mw 7.1 Hualien Offshore Earthquake Afterslip

2021 ◽  
Author(s):  
Sean Kuanhsiang Chen ◽  
Yih-Min Wu ◽  
Yu-Chang Chan
Keyword(s):  
Coulomb Stress ◽  
Slow Slip ◽  
Slow Slip Events ◽  
Slow Slip Event ◽  
Coulomb Stress Changes ◽  
Stress Changes ◽  
Slip Event ◽  
Slip Region ◽  
Recurrence Intervals ◽  
Offshore Earthquake

Abstract The recurrence intervals of slow slip events may increase gradually after a large earthquake during the afterslip. Stress perturbations during coseismic and postseismic periods may result in such an increase of intervals. However, the increasing recurrence intervals of slow slip events are rarely observed during an afterslip. The evolution process along with the afterslip remains unclear. We report an observation of slow slip events following the 2002 Mw 7.1 Hualien offshore earthquake afterslip in the southernmost Ryukyu subduction zone. Slow slip events in 2005, 2009, and 2015 are adjacent to the Mw 7.1 earthquake hypocenter. An increasing slow-slip interval of 3.1, 4.2, and 6.2 years has been observed after the earthquake. We calculated coseismic and postseismic slips from the Mw 7.1 earthquake and then estimated the Coulomb stress changes in the slow slip region. The Mw 7.1 earthquake has contributed positive Coulomb stresses to both the 2005 slow-slip region and 2009/2015 repeating slow-slip region. The coseismic and postseismic Coulomb stress change on the 2005 slow-slip region is approximately 0.05 MPa and 0.035 MPa, respectively. However, both Coulomb stress changes on the 2009/2015 repeating slow-slip region are not over 0.03 MPa. The ongoing afterslip following the Mw 7.1 earthquake last for at least five years, evolving with a decaying stress rate with time. The long-term stress perturbations may be able to trigger the 2005 slow slip event during the afterslip. The 2009 slow slip event seems to be influenced by the afterslip as well. Postseismic stress evolution and frictional and stressed conditions of the slow-slip region can be a reason to affect the evolution process of slow slip events intervals.

scholarly journals Spatiotemporal Slip Distributions Associated with the 2018-2019 Bungo Channel Long-Term Slow Slip Event Inverted from GNSS Data

2021 ◽  
Author(s):  
Yukinari Seshimo ◽  
Shoichi Yoshioka
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Total Duration ◽  
Series Data ◽  
Slow Slip ◽  
Slow Slip Events ◽  
Bungo Channel ◽  
Slip Event ◽  
Gnss Time Series

Abstract Long-term slow slip events (L-SSEs) have occurred beneath the Bungo Channel with durations of several months to a couple of years repeatedly with a recurrence interval of approximately six years. We estimated the spatiotemporal slip distributions of the 2018–2019 Bungo Channel L-SSE inverted from processed GNSS time series data. This event was divided into two subevents, with the first on the southwest side of the Bungo Channel from 2018.3 to 2018.7 and the second beneath the Bungo Channel from 2018.8 to 2019.4. Tectonic tremors became active on the downdip side of the L-SSE occurrence region when large slow slips took place beneath the Bungo Channel. Compared with the previous Bungo Channel L-SSEs, this spatiotemporal slip pattern and amount were similar to those of the 2003 L-SSE. However, the slip expanded in the northeast-southwest direction in the latter half of the second subevent. We also found that the total duration of the two subevents was 1.0 year, which was the shortest among the four recent L-SSEs beneath the Bungo Channel identified using GNSS time series data. The maximum amount of slip, the maximum slip velocity, the total released seismic moment, and the moment magnitude of the 2018–2019 L-SSE were estimated to be 27 cm, 53 cm/year, 4.1×1019 Nm, and 7.0, respectively, all of which were the largest among the four L-SSEs.

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