Discriminating types of volcanic electrical activity: Toward an eruption detection algorithm
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Abstract
We present a method for classification of the two distinct types of electrical activity that occur during an explosive volcanic eruption: vent discharges and lightning. Vent discharges occur at the onset of an explosion and create a distinctive radio frequency signature called continual radio frequency. Seconds to minutes after the onset of the eruption, lightning begins to occur throughout the eruption column. We use logistic regression to classify a radio frequency impulse as being part of either a lightning flash or a period of continual radio frequency. The classifier uses the number of peaks in the amplitude envelope from 1 ms windows before and after the impulsive very high frequency waveform, with an average accuracy of 97.9%. We propose that this method could be used in an algorithm to determine when explosive eruptions occurred by identification of the distinctive signatures of vent discharges and lightning.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Discriminating types of volcanic electrical activity: Toward an eruption detection algorithm |
| Series title | Geophysical Research Letters |
| DOI | 10.1029/2022GL099370 |
| Volume | 49 |
| Publication Date | August 10, 2022 |
| Year Published | 2022 |
| Language | English |
| Publisher | American Geophysical Union |
| Contributing office(s) | Volcano Science Center |
| Description | e2022GL099370, 9 p. |