Journal
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
Volume 127, Issue 5, Pages -Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1029/2021JB023400
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Funding
- Natural Environment Research Council, UK [NE/T001372/1]
- NERC [NE/T001372/1] Funding Source: UKRI
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This article demonstrates the unique probing ability of repetitive volcanoseismic signals for fluid transport processes within magmatic-plumbing system, and how signals detected at in situ stations near volcanoes can be observed at distant seismic stations. The study shows that through forward modeling and data analysis, source locations can be verified by seismic waves, and the presence of a single-force component in the source of VLPs can be inferred.
Repetitive volcanoseismic signals, including very-long-period signals (VLP) and long-period signals (LP), provide a unique probe of fluid transport processes inside magmatic-plumbing system. While syneruptive signals are often detected and analyzed with regional or/and global seismic networks to retrieve eruption location and mechanism, repetitive noneruptive volcanoseismic signals are generally small, and they are typically detected with in situ stations near the volcanic edifices. Here, we show that repetitive VLP and synchronous deformation events in Aso volcano, Japan, can be detected in the high (15-30 s) and low (50-100 s) VLP bands, respectively, at seismic stations located similar to 30-1,000 km away from their sources. Changes in the polarities, phases, and amplitudes of VLP and synchronous deformation events observed at the in situ stations can be verified by the seismic waves in the two VLP bands, respectively, at distant stations up to 150 km. Forward modeling of the amplitude decay in the two VLP bands against epicentral distance corroborates the source locations previously determined by the in situ data, whereas the joint data analysis of in situ and distant stations at high VLP band suggests the presence of single-force component (i.e., force/moment ratio of 10(-4) m(-1)) in the source of VLPs. We advocate that not only can systematic data mining against established global and regional seismic networks potentially expand the detection capability of repetitive volcanoseismic signals backward in time when in situ observations were unavailable, but it could also substantially improve the detection and monitoring capacity in otherwise uninstrumented volcanoes, complementary to remote sensing of ground deformation.
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