A repeating event sequence alarm for monitoring volcanoes
Seismological Research Letters
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Abstract
A major challenge in volcanology is forecasting eruptions. Repeating earthquake sequences may precede volcanic eruptions or lava dome growth and collapse, providing an opportunity for short-term eruption forecasting. I develop an automated repeating earthquake sequence detector and near real-time alarm to send alerts when an in-progress sequence is identified. The algorithm is based on a standard event detector (e.g., STA/LTA) and subsequent correlation-matching procedure that identifies repeating event sequences. A notification algorithm determines when a sequence is in progress and sends alerts. I use eruptions of three Alaskan volcanoes as case studies to test the alarm, implementing it both in retrospect and in real-time during the 2016-2017 Bogoslof eruption. These case studies show that the alarm can successfully be used to detect and alert on sequences of repeating events in a timely manner.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A repeating event sequence alarm for monitoring volcanoes |
| Series title | Seismological Research Letters |
| DOI | 10.1785/0220170263 |
| Volume | 89 |
| Issue | 5 |
| Year Published | 2019 |
| Language | English |
| Publisher | Seismological Society of America |
| Contributing office(s) | Volcano Science Center |
| Description | 14 p. |
| First page | 1863 |
| Last page | 1876 |
| Google Analytic Metrics | Metrics page |