Using Waveform Cross-Correlation and Satellite Imagery to Identify Repeating Mine Blasts in Eastern Kazakhstan

MacCarthy, J.; Hartse, Hans E.; Greene, Mary K.; Rowe, C. A.

doi:10.1785/gssrl.79.3.393

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…1b). It should be noted that template-based event identification is not limited to array processing and that alternatives (based primarily on waveform similarity) exist for networks and single stations (see, for example, SCHULTE-THEIS and JOSWIG, 1993;MASSA et al, 2006;MACCARTHY et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Considerations in Phase Estimation and Event Location Using Small-aperture Regional Seismic Arrays

Gibbons

Kværna

Ringdal

2009

Pure Appl. Geophys.

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The global monitoring of earthquakes and explosions at decreasing magnitudes necessitates the fully automatic detection, location and classification of an ever increasing number of seismic events. Many seismic stations of the International Monitoring System are small-aperture arrays designed to optimize the detection and measurement of regional phases. Collaboration with operators of mines within regional distances of the ARCES array, together with waveform correlation techniques, has provided an unparalleled opportunity to assess the ability of a small-aperture array to provide robust and accurate direction and slowness estimates for phase arrivals resulting from well-constrained events at sites of repeating seismicity. A significant reason for the inaccuracy of current fully-automatic event location estimates is the use of f-k slowness estimates measured in variable frequency bands. The variability of slowness and azimuth measurements for a given phase from a given source region is reduced by the application of almost any constant frequency band. However, the frequency band resulting in the most stable estimates varies greatly from site to site. Situations are observed in which regional P-arrivals from two sites, far closer than the theoretical resolution of the array, result in highly distinct populations in slowness space. This means that the f-k estimates, even at relatively low frequencies, can be sensitive to source and path-specific characteristics of the wavefield and should be treated with caution when inferring a geographical backazimuth under the assumption of a planar wavefront arriving along the great-circle path. Moreover, different frequency bands are associated with different biases meaning that slowness and azimuth station corrections (commonly denoted SASCs) cannot be calibrated, and should not be used, without reference to the frequency band employed. We demonstrate an example where fully-automatic locations based on a source-region specific fixedparameter template are more stable than the corresponding analyst reviewed estimates. The reason is that the analyst selects a frequency band and analysis window which appears optimal for each event. In this case, the frequency band which produces the most consistent direction estimates has neither the best SNR or the greatest beam-gain, and is therefore unlikely to be chosen by an analyst without calibration data.

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Section: Introductionmentioning

confidence: 99%

Considerations in Phase Estimation and Event Location Using Small-aperture Regional Seismic Arrays

Gibbons

Kværna

Ringdal

2009

Pure Appl. Geophys.

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“…Kvaerna and Ringdal, 1994;Gibbons et al, 2005) and so-called pattern detection: waveform correlation (Harris, 1991;MacCarthy et al, 2008) and empirical matched field processing (Harris and Kvaerna, 2010). All approaches require calibration against previously confirmed GT events, and a large GT collection project in the European Arctic was initiated to build a regional database of mining events (Harris et al, 2003).…”

Section: The European Arctic: a Seismo-acoustic Observatorymentioning

confidence: 99%

The European Arctic: A Laboratory for Seismoacoustic Studies

Gibbons

Асминг

Eliasson

et al. 2015

Seismological Research Letters

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“…Mine seismicity can form the basis of accurate ground truth datasets. Although the location of mining explosions can often be accurately determined using array methods (e.g., Harris, 1991) and from overhead observations (e.g., MacCarthy et al, 2008), accurate origin time estimation can be difficult. Occasionally, mine operators will share shot time, location, explosion size and even shot configuration, but this is rarely done, especially in foreign countries.…”

Section: Objectivesmentioning

confidence: 99%

Development of mine explosion ground truth smart sensors

Taylor¹,

Harben²,

Jarpe³

et al. 2015

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Accurate seismo-acoustic source location is one of the fundamental aspects of nuclear explosion monitoring. Critical to improved location is the compilation of ground truth data sets for which origin time and location are accurately known. Substantial effort by the National Laboratories and seismic monitoring groups have been undertaken to acquire and develop ground truth catalogs that form the basis of location efforts. In Phase I, we have demonstrated the feasibility of constructing an inexpensive, compact deployable Ground Truth Monitoring System (GTMS) for obtaining calibration ground truth information (timing, location, magnitude) autonomously from mining regions. The standoff distance is to be less than 5 km and accuracies of 0.1 second in origin time, 1 km in epicentral location and 0.3 magnitude units without any human intervention are operational goals of the system. Information is to be transmitted for mine explosions that exceed magnitude 2.5.

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Using Waveform Cross-Correlation and Satellite Imagery to Identify Repeating Mine Blasts in Eastern Kazakhstan

Cited by 8 publications

References 25 publications

Considerations in Phase Estimation and Event Location Using Small-aperture Regional Seismic Arrays

Considerations in Phase Estimation and Event Location Using Small-aperture Regional Seismic Arrays

The European Arctic: A Laboratory for Seismoacoustic Studies

Development of mine explosion ground truth smart sensors

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