Zobrazeno 1 - 10
of 124
pro vyhledávání: '"G. Currenti"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 14, Pp n/a-n/a (2024)
Abstract The interaction between volcanic activity and flank instability during the Christmas Eve eruption at Mount Etna in 2018 is explored, using a mechanically consistent inverse model fitting high spatial resolution SAR data. Inversions search fo
Externí odkaz:
https://doaj.org/article/05b92773389d422581561b9585cacadc
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 1743-1754 (2023)
Lava fountains at the Etna volcano are spectacular eruptive events characterized by powerful jets that expel hot mixtures of solid particles and volcanic gases, easily reaching stratospheric heights. Ash dispersal and fallout of solid particles affec
Externí odkaz:
https://doaj.org/article/55d8123ea3864f26b174da1926da1a15
Publikováno v:
Solid Earth, Vol 12, Pp 993-1003 (2021)
We demonstrate the capability of distributed acoustic sensing (DAS) to record volcano-related dynamic strain at Etna (Italy). In summer 2019, we gathered DAS measurements from a 1.5 km long fibre in a shallow trench and seismic records from a convent
Externí odkaz:
https://doaj.org/article/82e47571faca41e993add721d6def947
Publikováno v:
Solid Earth, Vol 7, Iss 2, Pp 557-577 (2016)
Ground deformation and gravity changes in restless calderas during periods of unrest can signal an impending eruption and thus must be correctly interpreted for hazard evaluation. It is critical to differentiate variation of geophysical observables r
Externí odkaz:
https://doaj.org/article/a12d037b4e2c46c7bd1ffe113f7b46e0
Publikováno v:
Nonlinear Processes in Geophysics, Vol 17, Iss 3, Pp 273-282 (2010)
A hybrid approach for forward and inverse geophysical modeling, based on Artificial Neural Networks (ANN) and Finite Element Method (FEM), is proposed in order to properly identify the parameters of volcanic pressure sources from geophysical observat
Externí odkaz:
https://doaj.org/article/3c72b934964348d39abbbec389de6cf0
Publikováno v:
Annals of Geophysics, Vol 50, Iss 1, Pp 21-30 (2007)
Geodetic and magnetic investigations have been playing an increasingly important role in studies on Mt. Etna eruptive processes. During ascent, magma interacts with surrounding rocks and fluids, and inevitably crustal deformation and disturbances i
Externí odkaz:
https://doaj.org/article/157273aea0624f41be28e217c1f39dac
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 5, Iss 4, Pp 555-559 (2005)
We applied the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary signals, to the hourly means of local geomagnetic field recorded at Mt. Etna volcano (southern Italy). We studied the signal
Externí odkaz:
https://doaj.org/article/f065e4dbb346436b92b5580a43991f92
Publikováno v:
Nonlinear Processes in Geophysics, Vol 11, Iss 1, Pp 119-125 (2004)
An intensive nonlinear analysis of geomagnetic time series from the magnetic network on Etna volcano was carried out to investigate the dynamical behavior of magnetic anomalies in volcanic areas. The short-term predictability of the geomagnetic time
Externí odkaz:
https://doaj.org/article/baebf68186c14898bd3f4b0772d74a17
Publikováno v:
Annals of Geophysics, Vol 51, Iss 1 (2008)
An elastic 3-D axi-symmetric model based on Finite Element Method (FEM) is proposed to compute ground deformation and gravity changes caused by overpressure sources in volcanic areas. The numerical computations are focused on the modeling of a comple
Externí odkaz:
https://doaj.org/article/8bafc2e341c04a7abca7b4493c0b27a4
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