Energy threshold changes in volcanic activity at Mt. Etna (Italy) inferred from volcanic tremor.

ABSTRACT: From the 2010s on, pattern classification has proven an effective method for flagging alerts of volcano unrest before eruptive activity at Mt. Etna, Italy. The analysis has been applied online to volcanic tremor data, and has supported the surveillance activity of the volcano that provides timely information to Civil Protection and other authorities. However, after declaring an alert, no one knows how long the volcano unrest will last and if a climactic eruptive activity will actually begin. These are critical aspects when considering the effects of a prolonged state of alert. An example of longstanding unrest is related to the Christmas Eve eruption in 2018, which was heralded by several months of almost continuous Strombolian activity. Here, we discuss the usage of thresholds to detect c

SUBMITTER: Langer H 

PROVIDER: S-EPMC9596467 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature