Detection of the Wenchuan Aftershock Sequence Using Waveform Correlation with a Composite Regional Network

Slinkard, Megan Elizabeth.; Heck, Stephen; Schaff, D. P.; Bonal, Nedra; Daily, David; Young, Christopher J.; Richards, Paul G.

doi:10.1785/0120150333

Cited by 14 publications

(10 citation statements)

References 25 publications

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“…This method has been widely used to detect early aftershocks following large mainshocks (A. Kato & Obara, ; Lengline et al, ; Peng & Zhao, ; Wu et al, ; H. Yang et al, ; Yao et al, ), as well as preceding foreshocks (A. Kato et al, , ; Ruan et al, ; Walter et al, ) and remotely triggered seismicity (W. Wang et al, ; Yao et al, ), resulting in a few to tens of times more events than listed in the standard earthquake catalogs. Slinkard et al () used waveform correlation with a composite regional network to detect the Wenchuan aftershock sequence and identified more than 6,000 additional events in the 3 months following the Wenchuan mainshock.…”

Section: Introductionmentioning

confidence: 99%

“…Kato et al, 2016Kato et al, , 2012Ruan et al, 2017;Walter et al, 2015) and remotely triggered seismicity (W. Wang et al, 2015;Yao et al, 2015), resulting in a few to tens of times more events than listed in the standard earthquake catalogs. Slinkard et al (2016) used waveform correlation with a composite regional network to detect the Wenchuan aftershock sequence and identified more than 6,000 additional events in the 3 months following the Wenchuan mainshock.…”

Section: Introductionmentioning

confidence: 99%

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Evolution and Distribution of the Early Aftershocks Following the 2008 Mw 7.9 Wenchuan Earthquake in Sichuan, China

et al. 2018

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Using seismic data recorded by a dense temporary seismic array, we apply a waveform matched‐filter technique and obtain an early aftershock catalog around the mainshock rupture zone of the 2008 Wenchuan, Sichuan, China, earthquake. Specifically, we use 1,273 events in a relocated aftershock catalog as templates and scan through the waveforms within 7 days following the mainshock. We obtain up to ∼5.3 and ∼10 times more aftershocks than the standard and relocated catalogs, respectively. We find that early aftershocks mostly occurred below 10 km depth, downdip to large coseismic slip areas. Early aftershocks also show minor along‐strike migration with time since the mainshock, indicating triggering of afterslip following the mainshock. From the epicentral region to Beichuan where the mainshock slip was primarily reverse faulting, early aftershocks illustrated the Yingxiu‐Beichuan and Guanxian‐Jiangyou faults as high‐angle listric feature and rooted to a gentle dipping plane at the depth of ∼20 km. The aftershocks in the northeast segment of the Longmen Shan faults mostly occurred along a near‐vertical dipping fault, consistent with the primary strike‐slip component of mainshock slip in this region. In addition, differences in early and long‐term aftershock distribution indicate significant postseismic deformation along the conjugate Xiaoyudong fault. Our results help to illuminate the deep geometry of the Longmen Shan fault zone and the early evolution after the Wenchuan mainshock, which provides additional constraints to the mechanism of plateau uplifting.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evolution and Distribution of the Early Aftershocks Following the 2008 Mw 7.9 Wenchuan Earthquake in Sichuan, China

et al. 2018

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“…A case study by Slinkard et al (2016) used a set of template waveforms from known aftershocks of the Wenchuan earthquake (12 May 2008, M s 7.9), as listed in a seismicity bulletin from the CTBTO IDC, and searched for these same waveforms in continuous data recorded by three GSN stations at regional distance (XAN, EMH, KMI), plus five temporary stations deployed as part of the Array Seismology Collaborative Experiments in Northeastern Tibet (ASCENT). Slinkard et al (2016) detected more than 6,000 additional events in the mainshock source region from 1 May to 12 August 2008. These new detections are distributed in magnitude in the way expected for aftershocks, as shown in Figure 39.…”

Section: Developments In Explosion Monitoringmentioning

confidence: 99%

“…Slinkard et al. (2016) evaluated methods for searching continuous data for a large region of central Asia for 2006–2008. They used data from three high‐quality stations: BVAR and MKAR (small arrays), and the GSN station KURK (Kurchatov, Kazakhstan; a 3‐component station).…”

Section: Progress In Seismic Event Location Promoted By Global Seismo...mentioning

confidence: 99%

Achievements and Prospects of Global Broadband Seismographic Networks After 30 Years of Continuous Geophysical Observations

Ringler

Anthony

Aster

et al. 2022

Reviews of Geophysics

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Global seismographic networks (GSNs) emerged during the late nineteenth and early twentieth centuries, facilitated by seminal international developments in theory, technology, instrumentation, and data exchange. The mid‐ to late‐twentieth century saw the creation of the World‐Wide Standardized Seismographic Network (1961) and International Deployment of Accelerometers (1976), which advanced global geographic coverage as seismometer bandwidth increased greatly allowing for the recording of the Earth's principal seismic spectrum. The modern era of global observations and rapid data access began during the 1980s, and notably included the inception of the GEOSCOPE initiative (1982) and GSN (1988). Through continual improvements, GEOSCOPE and the GSN have realized near‐real time recording of ground motion with state‐of‐art data quality, dynamic range, and timing precision to encompass 180 seismic stations, many in very remote locations. Data from GSNs are increasingly integrated with other geophysical data (e.g., space geodesy, infrasound and Interferometric Synthetic Aperture Radar). Globally distributed seismic data are critical to resolving crust, mantle, and core structure; illuminating features of the plate tectonic and mantle convection system; rapid characterization of earthquakes; identification of potential tsunamis; global nuclear test verification; and provide sensitive proxies for environmental changes. As the global geosciences community continues to advance our understanding of Earth structure and processes controlling elastic wave propagation, GSN infrastructure offers a springboard to realize increasingly multi‐instrument geophysical observatories. Here, we review the historical, scientific, and monitoring heritage of GSNs, summarize key discoveries, and discuss future associated opportunities for Earth Science.

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“…Research is ongoing into using nearest neighbor search algorithms to scan archives of historical waveforms via waveform crosscorrelation searching for similar signals. Given a new signal and a similar signal from the archive, the geographic location of the event that generated the new signal can be immediately assigned to the same location that generated the historical signal [13] [17]. Recent work has focused on using ANN techniques to search historical earthquake archives, which can be very large and continue to grow at a rapid rate [16].…”

Section: Seismic Waveform Datamentioning

confidence: 99%

Enhanced Approximate Nearest Neighbor via Local Area Focused Search.

Gonzáles

Blazier

2017

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Approximate Nearest Neighbor (ANN) algorithms are increasingly important in machine learning, data mining, and image processing applications. There is a large family of spacepartitioning ANN algorithms, such as randomized KD-Trees, that work well in practice but are limited by an exponential increase in similarity comparisons required to optimize recall. Additionally, they only support a small set of similarity metrics. We present Local Area Focused Search (LAFS), a method that enhances the way queries are performed using an existing ANN index. Instead of a single query, LAFS performs a number of smaller (fewer similarity comparisons) queries and focuses on a local neighborhood which is refined as candidates are identified. We show that our technique improves performance on several well known datasets and is easily extended to general similarity metrics using kernel projection techniques.

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Detection of the Wenchuan Aftershock Sequence Using Waveform Correlation with a Composite Regional Network

Cited by 14 publications

References 25 publications

Evolution and Distribution of the Early Aftershocks Following the 2008 Mw 7.9 Wenchuan Earthquake in Sichuan, China

Evolution and Distribution of the Early Aftershocks Following the 2008 Mw 7.9 Wenchuan Earthquake in Sichuan, China

Achievements and Prospects of Global Broadband Seismographic Networks After 30 Years of Continuous Geophysical Observations

Enhanced Approximate Nearest Neighbor via Local Area Focused Search.

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