Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9366
AuthorsGambino, S.* 
Falzone, G.* 
Ferro, A.* 
Laudani, G.* 
TitleVolcanic processes detected by tiltmeters: A review of experience on Sicilian volcanoes
Issue DateFeb-2014
Series/Report no./271 (2014)
DOI10.1016/j.jvolgeores.2013.11.007
URIhttp://hdl.handle.net/2122/9366
KeywordsGround deformation Tilt networks Volcanic activity Early warning
Subject Classification05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions 
AbstractA review of the experience gained in the use of tiltmeters on Mt. Etna, Stromboli and Vulcano during the last 30 years is reported here. Tilt data represent a fundamental contribution towards understanding volcanic processes such as dike intrusions, fracture propagation, lava fountains and volume changes in magmatic or hydrothermal systems causing a deflation/ inflation of the edifice. Intrusive processes preceding lateral eruptions show large variations (up to over 100 microradians), while minor variations (not exceeding 2.5 microradians) are linked to lava fountains that form ash plumes and lead to fallout deposits that cause severe hazards to aviation. High precision tilt also allows detecting the slight ground deformation linked to strombolian activity (0.01–0.2 microradians) as well as co-seismic variations (0.1–1.5 microradians) and tidal effects (0.1–0.2 microradians) that may have a role in the evolution of a volcanic system. Time–amplitude tilt ranges linked to each process are generally different allowing to discriminate, in real time, between a signal associated to one process and another one. This fact is important in terms of early warning particularly during the first phases of dikes propagation that precede a lateral eruption by hours–days.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
2014 Gambino et al JVGR.pdf2.2 MBAdobe PDFView/Open
Show full item record

Page view(s)

83
Last Week
0
Last month
0
checked on Jul 26, 2017

Download(s)

24
checked on Jul 26, 2017

Google ScholarTM

Check

Altmetric