2020
DOI: 10.1016/j.jvolgeores.2020.106996
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Examining the statistical relationships between volcanic seismic, infrasound, and electrical signals: A case study of Sakurajima volcano, 2015

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Cited by 13 publications
(30 citation statements)
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“…2 and the predict function in R. We predict that 100 located RF sources (a large amount of electrical activity for this dataset) that will occur at similar plume values as the volcanic lightning and vent discharges t-tests with the addition of infrasound energy greater than 10 7 J and seismic duration greater than 80 seconds. This infrasound energy estimate matches with the high electrical activity threshold value estimated by Smith et al,(2020). 1, eq 1, and Table S5 to show the continuum from the smallest volcanic plumes recorded without either volcanic lightning or CRF, to mid-sized volcanic plumes (800-1000 m) that had volcanic…”
Section: Accepted Articlesupporting
confidence: 81%
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“…2 and the predict function in R. We predict that 100 located RF sources (a large amount of electrical activity for this dataset) that will occur at similar plume values as the volcanic lightning and vent discharges t-tests with the addition of infrasound energy greater than 10 7 J and seismic duration greater than 80 seconds. This infrasound energy estimate matches with the high electrical activity threshold value estimated by Smith et al,(2020). 1, eq 1, and Table S5 to show the continuum from the smallest volcanic plumes recorded without either volcanic lightning or CRF, to mid-sized volcanic plumes (800-1000 m) that had volcanic…”
Section: Accepted Articlesupporting
confidence: 81%
“…We used the geophysical variables from eq. 5 in Smith et al, (2020) reproduced here as eq. 1, including the seismic energy, infrasound energy, and duration of seismic signal: Where NLS is the number of located RF sources, SE is seismic energy in Joules, IE is infrasound energy in Joules, and SD is seismic duration in seconds.…”
Section: Discussionmentioning
confidence: 99%
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