Wavelet-Based Characterization of Very-Long-Period Seismicity Reveals Temporal Evolution of Shallow Magma System Over the 2008-2018 Eruption of Kilauea Volcano
Wavelet-Based Characterization of Very-Long-Period Seismicity Reveals Temporal Evolution of Shallow Magma System Over the 2008-2018 Eruption of Kilauea Volcano
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DOI:
10.1029/2020jb020837
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发表时间:
2021-06-01
影响因子:
3.9
通讯作者:
Karlstrom, Leif
中科院分区:
文献类型:
--
作者:
Crozier, Josh;Karlstrom, Leif
Very-long-period (VLP) volcano seismicity often encodes subsurface magma movement, and thus provides insight into subsurface magma transport processes. We develop a fully automated signal processing workflow using wavelet transforms to detect and assess period, decay rate, and ground motions of resonant VLP signals. We then generate a VLP catalog over the 2008-2018 open-vent summit eruption of Kilauea Volcano containing thousands of events. Two types of magma resonance dominate our catalog: vertical sloshing of the open magma column in and out of the shallow magma reservoir, and lateral sloshing of magma in the lava lake. These events were triggered mainly from the surface and less commonly from depth. The VLP catalog is then combined with other geophysical datasets to characterize evolution of the shallow magma system. VLP ground motion patterns show both abrupt and gradual changes in shallow magma reservoir geometry. Variation in resonant periods and decay rates of both resonance types occurred on timescales from hours to years, indicating variation in magma density and viscosity that likely reflect unsteady shallow outgassing and convection. A lack of correlation between decay rates of the two dominant resonant modes suggests a decoupling between magma in the conduit and lava lake. Known intrusions and rift zone eruptions often represented change points for resonance characteristics and their relations with other datasets. This data synthesis over a 10-year eruptive episode at Kilauea Volcano demonstrates how VLP seismicity can sharpen insights into magma system evolution for use in monitoring and understanding eruptive processes.