Seismic Event Identification: Context to Confidence
We present a probabilistic framework to automate event-type labeling of seismic event catalogs via contextual data fusion. Our framework fuses information derived from seismic waveform features with geospatial context such as the location of known earthquakes, nuclear test sites, and mining operatio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Seismological Society of America
2025-04-01
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| Series: | The Seismic Record |
| Online Access: | https://doi.org/10.1785/0320250005 |
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| _version_ | 1849314099691782144 |
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| author | Richard Alfaro-Diaz Jonas A. Kintner Josh D. Carmichael |
| author_facet | Richard Alfaro-Diaz Jonas A. Kintner Josh D. Carmichael |
| author_sort | Richard Alfaro-Diaz |
| collection | DOAJ |
| description | We present a probabilistic framework to automate event-type labeling of seismic event catalogs via contextual data fusion. Our framework fuses information derived from seismic waveform features with geospatial context such as the location of known earthquakes, nuclear test sites, and mining operations to infer event-type labels and associated uncertainty. This framework mirrors expert analyst reasoning by simultaneously considering both the seismic waveform characteristics and the geospatial context of each event to formally combine multiple lines of evidence. We integrate these disparate observations via Bayesian hierarchical modeling to structure data and exchange of information across data categories. Unlike standard approaches with deterministic seismic event-type labels, our framework provides a quantitative measure of uncertainty for informed decision-making. We demonstrate this technique on a comprehensive catalog of analyst-derived ground-truth earthquake and explosion event types located within the Great Basin in the western United States. |
| format | Article |
| id | doaj-art-09d485d7335c442e99405cbc9dcce2c5 |
| institution | Kabale University |
| issn | 2694-4006 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Seismological Society of America |
| record_format | Article |
| series | The Seismic Record |
| spelling | doaj-art-09d485d7335c442e99405cbc9dcce2c52025-08-20T03:52:33ZengSeismological Society of AmericaThe Seismic Record2694-40062025-04-015215516410.1785/0320250005tsr2025005Seismic Event Identification: Context to ConfidenceRichard Alfaro-Diaz0https://orcid.org/0000-0001-6723-5996Jonas A. Kintner1https://orcid.org/0000-0002-0739-6349Josh D. Carmichael2https://orcid.org/0000-0001-5752-5738Los Alamos National Laboratory, Geophysical Explosion Monitoring Team, Los Alamos National Laboratory, Los Alamos, New Mexico, U.S.A.Los Alamos National Laboratory, Geophysical Explosion Monitoring Team, Los Alamos National Laboratory, Los Alamos, New Mexico, U.S.A.Los Alamos National Laboratory, Geophysical Explosion Monitoring Team, Los Alamos National Laboratory, Los Alamos, New Mexico, U.S.A.We present a probabilistic framework to automate event-type labeling of seismic event catalogs via contextual data fusion. Our framework fuses information derived from seismic waveform features with geospatial context such as the location of known earthquakes, nuclear test sites, and mining operations to infer event-type labels and associated uncertainty. This framework mirrors expert analyst reasoning by simultaneously considering both the seismic waveform characteristics and the geospatial context of each event to formally combine multiple lines of evidence. We integrate these disparate observations via Bayesian hierarchical modeling to structure data and exchange of information across data categories. Unlike standard approaches with deterministic seismic event-type labels, our framework provides a quantitative measure of uncertainty for informed decision-making. We demonstrate this technique on a comprehensive catalog of analyst-derived ground-truth earthquake and explosion event types located within the Great Basin in the western United States.https://doi.org/10.1785/0320250005 |
| spellingShingle | Richard Alfaro-Diaz Jonas A. Kintner Josh D. Carmichael Seismic Event Identification: Context to Confidence The Seismic Record |
| title | Seismic Event Identification: Context to Confidence |
| title_full | Seismic Event Identification: Context to Confidence |
| title_fullStr | Seismic Event Identification: Context to Confidence |
| title_full_unstemmed | Seismic Event Identification: Context to Confidence |
| title_short | Seismic Event Identification: Context to Confidence |
| title_sort | seismic event identification context to confidence |
| url | https://doi.org/10.1785/0320250005 |
| work_keys_str_mv | AT richardalfarodiaz seismiceventidentificationcontexttoconfidence AT jonasakintner seismiceventidentificationcontexttoconfidence AT joshdcarmichael seismiceventidentificationcontexttoconfidence |