Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan
Abstract We develop a methodology to compile an objective tremor catalog by utilizing distinctive event features that differentiate tectonic tremors from non‐tremor events, and combining the envelope cross‐correlation method with clustering technique and neural network. This approach enables tremor...
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| Format: | Article |
| Language: | English |
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Wiley
2024-10-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2024GL108874 |
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| author | Seiya Yano Satoshi Ide |
| author_facet | Seiya Yano Satoshi Ide |
| author_sort | Seiya Yano |
| collection | DOAJ |
| description | Abstract We develop a methodology to compile an objective tremor catalog by utilizing distinctive event features that differentiate tectonic tremors from non‐tremor events, and combining the envelope cross‐correlation method with clustering technique and neural network. This approach enables tremor extraction without subjective criteria, allowing for the detection of previously overlooked short‐duration tremors. The event features employed to distinguish tremors and non‐tremor events are depth, the mean amplitudes at high and low frequencies, the ratio of these two amplitudes, and event duration. The duration is defined as the minimum period that contains 50% of the seismic energy. The application of this method to western Japan detects 1.7 times more tremors than the previous studies, with the durations of 0.3–∼100 s. The events with short durations are considered low‐frequency earthquakes. The relationship between seismic moment and duration of the detected tremors is consistent with the scaling law of slow earthquakes. |
| format | Article |
| id | doaj-art-2a267679ca384031980b143dcbbb2984 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-2a267679ca384031980b143dcbbb29842025-08-20T02:04:20ZengWileyGeophysical Research Letters0094-82761944-80072024-10-015119n/an/a10.1029/2024GL108874Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western JapanSeiya Yano0Satoshi Ide1Department of Earth and Planetary Science The University of Tokyo Tokyo JapanDepartment of Earth and Planetary Science The University of Tokyo Tokyo JapanAbstract We develop a methodology to compile an objective tremor catalog by utilizing distinctive event features that differentiate tectonic tremors from non‐tremor events, and combining the envelope cross‐correlation method with clustering technique and neural network. This approach enables tremor extraction without subjective criteria, allowing for the detection of previously overlooked short‐duration tremors. The event features employed to distinguish tremors and non‐tremor events are depth, the mean amplitudes at high and low frequencies, the ratio of these two amplitudes, and event duration. The duration is defined as the minimum period that contains 50% of the seismic energy. The application of this method to western Japan detects 1.7 times more tremors than the previous studies, with the durations of 0.3–∼100 s. The events with short durations are considered low‐frequency earthquakes. The relationship between seismic moment and duration of the detected tremors is consistent with the scaling law of slow earthquakes.https://doi.org/10.1029/2024GL108874tectonic tremorlow‐frequency earthquakeclusteringscaling law |
| spellingShingle | Seiya Yano Satoshi Ide Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan Geophysical Research Letters tectonic tremor low‐frequency earthquake clustering scaling law |
| title | Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan |
| title_full | Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan |
| title_fullStr | Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan |
| title_full_unstemmed | Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan |
| title_short | Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan |
| title_sort | event feature based clustering reveals continuous distribution of tectonic tremors of 0 3 100 s application to western japan |
| topic | tectonic tremor low‐frequency earthquake clustering scaling law |
| url | https://doi.org/10.1029/2024GL108874 |
| work_keys_str_mv | AT seiyayano eventfeaturebasedclusteringrevealscontinuousdistributionoftectonictremorsof03100sapplicationtowesternjapan AT satoshiide eventfeaturebasedclusteringrevealscontinuousdistributionoftectonictremorsof03100sapplicationtowesternjapan |