Probabilistic modeling of eruptive activity at Etna volcano using InSar surface displacements and ATSR thermal radiance
Document Type
Article
Publication Date
9-2006
Department
Department of Geological and Mining Engineering and Sciences
Abstract
Satellite monitoring offers a powerful means to regularly characterize the mechanical and thermal states of active volcanoes. Satellite-measured surface inflation and radiant heat flux reflect the pressurization and discharge, respectively, of a magmatic system, suggesting that studying these parameters together may help in better understanding future eruptive activity. We incorporate InSAR surface displacement data and ATSR thermal radiance data into a probabilistic model for activity at Etna volcano in 1996-2000, when surface deformation and thermal radiance appeared to be related in a periodic fashion. The probabilistic approach addresses both the magnitude and timing of eruptive events, based upon a simple physical model of eruptions as renewal processes. We anticipate that this approach could serve as a framework for probabilistic assessment in eruption scenarios with, persistent activity and multiple monitoring datastreams.
Publication Title
Geophysical Research Letters
Recommended Citation
Patrick, M.,
Frazer, L.,
&
Brooks, B.
(2006).
Probabilistic modeling of eruptive activity at Etna volcano using InSar surface displacements and ATSR thermal radiance.
Geophysical Research Letters,
33(18).
http://doi.org/10.1029/2006GL026983
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/8301