无监督聚类揭示阿拉斯加Great Sitkin火山喷发前地震活动演化

doi:10.3799/dqkx.2025.105

无监督聚类揭示阿拉斯加Great Sitkin火山喷发前地震活动演化

doi: 10.3799/dqkx.2025.105

1. 东华理工大学, 铀资源探采与核遥感全国重点实验室, 江西南昌 330013;
2. 中国地质科学院, 自然资源部深地科学与探测技术实验室, 北京 100094

基金项目:

国家自然科学基金（42304145，42430208），国家重点研发计划项目（2022YFC2807401），江西省自然科学基金（20232BAB213077）和自然资源部深地科学与探测技术实验室开放课题（SL202412）共同资助。

详细信息

作者简介:
戴梦雪（1990-）,女,博士,讲师,主要从事火山地震学研究.E-mail:daimengxue@ecut.edu.cn，ORCID：0009-0003-1326-4208

通讯作者:
裴军令（1977-）,男,博士,研究员,主要从事构造地质学研究.E-mail:junlingpei@163.com

中图分类号: P315
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出版历程
- 收稿日期: 2025-04-30
- 网络出版日期: 2025-06-23

Unsupervised Clustering Reveals Pre-Eruptive Seismicity Evolution at Great Sitkin Volcano, Alaska

1. National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing, East China University of Technology, Nanchang 330013, China;
2. SinoProbe Laboratory, Chinese Academy of Geological Sciences, Beijing 100094, China

摘要

摘要: 火山地震活动的时空分异特征为解析岩浆迁移与喷发前兆提供了关键约束。为阐明阿拉斯加Great Sitkin火山2021年喷发前的岩浆活动机制，本研究对该火山喷发前的连续地震波形数据开展了系统性分析，采用模版匹配和双差定位法进行地震事件检测及精定位，并基于无监督学习层次聚类算法，对构建的高精度地震目录进行火山地震活动的分类与时空演化分析。本研究获得的地震目录事件较阿拉斯加火山观测台（AVO）官方目录提升了4倍，层次聚类将这些地震事件划分为长周期地震（LP）和火山构造地震（VT）。结果显示，喷发前火山地震活动显著增强，且浅层LP事件在喷发前24小时达到活动峰值，这一现象或为关键喷发前兆信号。该火山此次喷发是由山顶火山口正下方上地壳深度的岩浆积聚和增压引发。
- 无监督学习 /
- 层次聚类 /
- 地震精定位 /
- 火山地震活动 /
- 喷发前兆
Abstract: The spatiotemporal characteristics of volcanic seismicity provide critical constraints for deciphering magma migration processes and eruption precursors. To elucidate the magmatic activity mechanisms preceding the 2021 eruption of the Great Sitkin Volcano, Alaska, this study conducted a systematic analysis of the pre-eruptive continuous seismic waveform data from this volcano. Template matching and the double-difference relocation method were employed to detect seismic events and achieve high-precision relocation. An unsupervised hierarchical clustering algorithm was then applied to classify volcanic seismicity and analyze its spatiotemporal evolution based on the constructed seismic catalog. The resulting seismic catalog contains four times the number of events compared to the official Alaska Volcano Observatory (AVO) catalog. Hierarchical clustering successfully categorized the seismic events into long-period (LP) earthquakes and volcano-tectonic (VT) earthquakes. The results show that a significant intensification of volcano seismic activity was observed prior to the eruption, with shallow LP events reaching an activity peak 24 hours before the eruption, it is possible that this phenomenon potentially represents critical eruption precursor signals. This eruption was mainly triggered by magma accumulation and pressurization at upper-crustal depths directly beneath the summit crater.
- Unsupervised learning /
- hierarchical clustering /
- seismic relocation /
- volcanic seismicity /
- eruption precursors

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参考文献(45)

Allen, R. V., 1978. Automatic Earthquake Recognition and Timing from Single Traces. Bulletin of the Seismological Society of America, 68(5): 1521-1532. https://doi.org/10.1785/BSSA0680051521
22-1792-0
Baillard, C., Crawford, W. C., Ballu, V., et al., 2014. An Automatic Kurtosis-Based P- and S-phase Picker Designed for Local Seismic Networks. Bulletin of the Seismological Society of America, 104(1): 394-409. https://doi.org/10.1785/0120120347
Buurman, H., West, M. E., 2010. Seismic Precursors to Volcanic Explosions during the 2006 Eruption of Augustine Volcano. In: Power, J. A., Coombs, M. L., Freymueller, J. T., eds., The 2006 Eruption of Augustine Volcano, Alaska. U.S. Geological Survey Professional Paper, Washington DC, 1769: 41-57. https://pubs.usgs.gov/pp/1769/chapters/p1769_chapter02.pdf
Chouet, B. A., Matoza, R. S., 2013. A Multi-decadal View of Seismic Methods for Detecting Precursors of Magma Movement and Eruption. Journal of Volcanology and Geothermal Research, 252: 108-175. https://doi.org/10.1016/j.jvolgeores.2012.11.013
Cui, X., Li, Z., Huang, H., 2021. Subdivision of Seismicity Beneath the Summit Region of Kilauea Volcano: Implications for the Preparation Process of the 2018 Eruption. Geophysical Research Letters, 48(20): e2021GL094698. https://doi.org/10.1029/2021GL094698
Dixon, J. P., Cameron, C. E., Iezzi, A. M., et al., 2020. 2017 Volcanic Activity in Alaska-Summary of Events and Response of the Alaska Volcano Observatory. U.S. Geological Survey Scientific Investigations Report 2020-5102. https://doi.org/10.3133/sir20205102
Duque, A., Gonzalez, K., Perez, N., et al., 2020. Exploring the Unsupervised Classification of Seismic Events of Cotopaxi Volcano. Journal of Volcanology and Geothermal Research, 403: 107009. https://doi.org/10.1016/j.jvolgeores.2020.107009
Falsaperla, S., Graziani, S., Nunnari, G., et al., 1996. Automatic Classification of Volcanic Earthquakes by Using Multi-layered Neural Networks. Natural Hazards, 13: 205-228. https://doi.org/10.1007/BF00215816
Falsaperla, S., Martinelli, B., Schick, R., 1992. Seismic Activity at Stromboli (Southern Italy) for the Period 1983-1986. In: Gasperini, P., Scarpa, R., Aki, K., eds., Volcanic Seismology. Springer-Verlag, New York, 267-278. https://doi.org/10.1007/978-3-642-77008-1_20
Hibert, C., Provost, F., Malet, J. P., et al., 2017. Automatic Identification of Rockfalls and Volcano-tectonic Earthquakes at the Piton de la Fournaise Volcano Using a Random Forest Algorithm. Journal of Volcanology and Geothermal Research, 340: 130-142. https://doi.org/10.1016/j.jvolgeores.2017.04.015
Jiang, G. J., Zhang, L. F., Zhao, Y. N., et al., 2024. Research on Microseismic Activity in Three Gorges Reservoir Based on PALM Automatic Detection Method. Journal of Geodesy and Geodynamics, 44(7): 753-758 (in Chinese with English abstract).
Ketner, D., Power, J., 2013. Characterization of Seismic Events During the 2009 Eruption of Redoubt Volcano, Alaska. Journal of Volcanology and Geothermal Research, 259: 45-62. https://doi.org/10.1016/j.jvolgeores.2012.10.007
Klein, F. W., 2002. User's Guide to HYPOINVERSE-2000, a Fortran Program to Solve for Earthquake Locations and Magnitudes. U.S. Geological Survey Scientific Investigations Report 2002-171. https://doi.org/10.3133/ofr02171
Langet, N. 2014. Détection et Caractérisation Massives de Phénomènes Sismologiques pour la Surveillance D'événements Traditionnels et la Recherche Systématique de Phénomènes Rares (Doctoral Dissertation). Université de Strasbourg.
Liu, G. M., Wang, L. J., Kang, J. H., et al., 2023. Application of Volcanic Seismic Monitoring in Volcanic Eruption Prediction. Earthquake Research in China, 39(2): 425-437 (in Chinese with English abstract).
Lu, T. R., Duan, M. Q., Li, Z. Y., et al., 2025. A Review of Research Progress in Artificial Intelligence-Based Seismic Classification. Progress in Geophysics, 40(1): 25-47 (in Chinese with English abstract).
Maggi, A., Ferrazzini, V., Hibert, C., et al., 2017. Implementation of a Multistation Approach for Automated Event Classification at Piton de la Fournaise Volcano. Seismological Research Letters, 88(3): 878-891. https://doi.org/10.1785/0220160189
Matoza, R. S., Shearer, P. M., Okubo, P. G., 2014. High-precision Relocation of Long‐period Events Beneath the Summit Region of Kı̄lauea Volcano, Hawai‘i, from 1986 to 2009. Geophysical Research Letters, 41(10): 3413-3421. https://doi.org/10.1002/2014GL059819
Meyer, K., Biggs, J., Aspinall, W., 2021. A Bayesian Reassessment of the Relationship between Seismic Moment and Magmatic Intrusion Volume during Volcanic Unrest. Journal of Volcanology and Geothermal Research, 419: 107375. https://doi.org/10.1016/j.jvolgeores.2021.107375
Moran, S. C. S. D., Stihler, S., Power, J., 2002. A Tectonic Earthquake Sequence Preceding the April-May 1999 Eruption of Shishaldin Volcano, Alaska. Bulletin of Volcanology, 64: 520-524. https://doi.org/10.1007/s00445-002-0226-1
Nakada, S., Shimizu, H., Ohta, K., 1999. Overview of the 1990-1995 Eruption at Unzen Volcano. Journal of Volcanology and Geothermal Research, 89(1-4): 1-22. https://doi.org/10.1016/S0377-0273(98)00118-8
Orr, T. R., Dietterich, H. R., Fee, D., et al., 2024. 2021 Volcanic Activity in Alaska and the Commonwealth of the Northern Mariana Islands-Summary of Events and Response of the Alaska Volcano Observatory. U.S. Geological Survey Scientific Investigations Report 2024-5014. https://doi.org/10.3133/sir20245014
Orr, T. R., Dietterich, H. R., Grapenthin, R., et al., 2025. 2022 Volcanic Activity in Alaska and the Northern Mariana Islands-Summary of Events and Response of the Alaska Volcano Observatory. U.S. Geological Survey Scientific Investigations Report 2024-5108. https://doi.org/10.3133/sir20245108
Permana, T., Nishimura, T., Nakahara, H., et al., 2022. Classification of Volcanic Tremors and Earthquakes based on Seismic Correlation: Application at Sakurajima Volcano, Japan. Geophysical Journal International, 229(2): 1077-1097. https://doi.org/10.1093/gji/ggab517
Pesicek, J. D., Thurber, C. H., DeShon, H. R., et al., 2008. Three-dimensional P-wave Velocity Structure and Precise Earthquake Relocation at Great Sitkin Volcano, Alaska. Bulletin of the Seismological Society of America, 98(5): 2428-2448. https://doi.org/10.1785/0120070213
Power, J. A., Roman, D. C., 2024. Event Classification, Seismicity, and Eruption Forecasting at Great Sitkin Volcano, Alaska: 1999-2023. Journal of Volcanology and Geothermal Research, 454: 108182. https://doi.org/10.1016/j.jvolgeores.2024.108182
Roman, D. C., Moran, S. C., Power, J. A., 2004. Temporal and Spatial Variation of Local Stress Fields before and after the 1992 Eruptions of Crater Peak Vent, Mount Spurr Volcano, Alaska. Bulletin of the Seismological Society of America, 94(6): 2366-2379. https://doi.org/10.1785/0120030259
Seydoux, L., Balestriero, R., Poli, P., et al., 2020. Clustering Earthquake Signals and Background Noises in Continuous Seismic Data with Unsupervised Deep Learning. Nature communications, 11(1): 3972. https://doi.org/10.1038/s41467-020-17841-x
Waldhauser, F., Ellsworth, W. L., 2000. A Double-difference Earthquake Location Algorithm: Method and Application to the Northern Hayward Fault, California. Bulletin of the seismological society of America, 90(6): 1353-1368. https://doi.org/10.1785/0120000006
Waythomas, C. F., Miller, T. P., Nye, C. J., et al., 2003. Preliminary Volcano-hazard Assessment for Great Sitkin Volcano, Alaska. U.S. Geological Survey Scientific Investigations Report 2003-112. https://doi.org/10.3133/ofr03112
Wech, A. G., Thelen, W. A., 2015. Linking Magma Transport Structures at Kīlauea Volcano. Geophysical Research Letters, 42(17): 7090-7097. https://doi.org/10.1002/2015GL064869
Withers, M., Aster, R., Young, C., et al., 1998. A Comparison of Select Trigger Algorithms for Automated Global Seismic Phase and Event Detection. Bulletin of the Seismological Society of America, 88(1): 95-106. https://doi.org/10.1785/BSSA0880010095
Woods, J., Donaldson, C., White, R. S., et al., 2018. Long-period Seismicity Reveals Magma Pathways above a Laterally Propagating Dyke during the 2014-15 Bárðarbunga Rifting Event, Iceland. Earth and Planetary Science Letters, 490: 216-229. https://doi.org/10.1016/j.epsl.2018.03.020
Xiao Y., Shan B., Liu C., et al., 2024. Stress Triggering and Seismic Hazard Analysis of the 2022 Lushan MS6.1 Earthquake. Earth Science, 49(08): 2979-2991 (in Chinese with English abstract).
Yang, X., Roman, D. C., Haney, M., et al., 2023. Double Reservoirs Imaged Below Great Sitkin Volcano, Alaska, Explain the Migration of Volcanic Seismicity. Geophysical Research Letters, 50(11): e2022GL102438. https://doi.org/10.1029/2022GL102438
Yao, Y., Yang, Z. S., Zhou, S. Y., 2023. Seismic Activity of the Zemu River Fault Zone Based on Dense Seismic Array. Acta Seismologica Sinica, 45(6): 985-995 (in Chinese with English abstract).
Zhang, M., Wen, L., 2015. An Effective Method for Small Event Detection: Match and Locate (M&L). Geophysical Journal International, 200(3): 1523-1537. https://doi.org/10.1093/gji/ggu466
Zhou, Y., Yue, H., Fang, L., et al., 2022. An Earthquake Detection and Location Architecture for Continuous Seismograms: Phase picking, Association, Location, and Matched Filter (PALM). Seismological Society of America, 93(1): 413-425. https://doi.org/10.1785/0220210111
Zhu, W., Beroza, G. C., 2019. PhaseNet: a Deep-neural-network-based Seismic Arrival-time Picking Method. Geophysical Journal International, 216(1): 261-273. https://doi.org/10.1093/gji/ggy423
江功劲, 张丽芬, 赵艳南, 等, 2024. 基于PALM自动检测方法的三峡库区微震活动研究. 大地测量与地球动力学, 44(7): 753-758.
刘国明, 王良俊, 康建红, 等, 2023. 火山地震监测在火山喷发预测中的应用. 中国地震, 39(2): 425-437.
陆天然, 段梦乔, 李子怡, 等, 2025. 人工智能地震分类研究进展综述. 地球物理学进展, 40(1): 25-47.
肖阳, 单斌, 刘成利, 等, 2024. 2022年芦山MS6.1地震应力触发及地震危险性分析. 地球科学, 49(08): 2979-2991.
姚远, 杨周胜, 周仕勇. 2023. 基于密集台阵的则木河断裂带地震活动性研究. 地震学报, 45(6): 985-995.

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无监督聚类揭示阿拉斯加Great Sitkin火山喷发前地震活动演化

doi: 10.3799/dqkx.2025.105

作者简介: 戴梦雪（1990-）,女,博士,讲师,主要从事火山地震学研究.E-mail:daimengxue@ecut.edu.cn，ORCID：0009-0003-1326-4208

通讯作者: 裴军令（1977-）,男,博士,研究员,主要从事构造地质学研究.E-mail:junlingpei@163.com

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出版历程

Unsupervised Clustering Reveals Pre-Eruptive Seismicity Evolution at Great Sitkin Volcano, Alaska

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出版历程

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作者简介:
戴梦雪（1990-）,女,博士,讲师,主要从事火山地震学研究.E-mail:daimengxue@ecut.edu.cn，ORCID：0009-0003-1326-4208

通讯作者:
裴军令（1977-）,男,博士,研究员,主要从事构造地质学研究.E-mail:junlingpei@163.com