Quantifying Strombolian Activity at Etna Volcano

نویسندگان

چکیده

Understanding the dynamics of mild explosive activity is a fundamental tool for hazard assessment at open conduit volcanoes. This particularly critical task Etna volcano. in fact characterized by frequent, activity, punctuated lava flows and paroxysmal events (‘lava fountains’), which, because their greater impact, have been main target studies, whereas more frequent Strombolian has overlooked. As result, impact associated hazards never quantified, despite extensive monitoring surveillance activities carried out on this In paper, we analyze video recordings sequence explosions occurring summit craters Mt. Etna, Italy, February 2020. Data were also integrated with petrographic analysis collected samples, drone surveys performed same time as recordings. We estimate frequency (20–12 per min); particle exit speeds (1–50 m/s), erupted mass (100–102 kg) those explosions. A very regular, small-scale (marked single burst gas breaking magma free surface into bombs lapilli fragments) was occasionally larger explosions, (at least one every 5 min), longer duration, fed volumes, consisting two to three distinct pulses followed stationary phase. found that repose times between follows log logistic distribution, which agreement behavior vent activity. The four largest analyzed detail: they emitted particles median diameters (Mdphi) ranging from ?10.1 ?8.8 phi, bimodal distributions.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multifractality in local geomagnetic field at Etna volcano, Sicily

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 measured at one geomagnetic station, installed at the summit of volcano, which was characterized by a strong eruption on 27 October 2002. We analyz...

متن کامل

Probabilistic modeling of eruptive activity at Etna volcano using InSAR surface displacements and ATSR thermal radiance

[1] 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...

متن کامل

Modeling Strombolian eruptions of Karymsky volcano, Kamchatka, Russia

A model is proposed to explain temporal patterns of activity in a class of periodically exploding Stromboliantype andesite volcanoes. These patterns include major events (explosions) which occur every 3^30 min and subsequent tremor with a typical period of 1 s. This two-periodic activity is thought to be caused by two distinct mechanisms of accumulation of the elastic energy in the moving magma...

متن کامل

Non-linear analysis of geomagnetic time series from Etna volcano

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 series was evaluated to establish a possible low-dimensional deterministic dynamics. We estimated the predictive ability of both a nonlinear foreca...

متن کامل

Capturing the fingerprint of Etna volcano activity in gravity and satellite radar data

Long-term and high temporal resolution gravity and deformation data move us toward a better understanding of the behavior of Mt Etna during the June 1995 - December 2011 period in which the volcano exhibited magma charging phases, flank eruptions and summit crater activity. Monthly repeated gravity measurements were coupled with deformation time series using the Differential Synthetic Aperture ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Geosciences

سال: 2022

ISSN: ['2076-3263']

DOI: https://doi.org/10.3390/geosciences12040163