Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10333
AuthorsDe Gregorio, S.* 
Camarda, M.* 
TitleA novel approach to estimate the eruptive potential and probability in open conduit volcanoes
Issue Date26-Jul-2016
Series/Report no./6 (2016)
DOI10.1038/srep30471
URIhttp://hdl.handle.net/2122/10333
Keywordseruptive potential
eruptive probability
open conduit volcanoes
Etna
Soil CO2 flux
Subject Classification04. Solid Earth::04.08. Volcanology::04.08.99. General or miscellaneous 
04. Solid Earth::04.08. Volcanology::04.08.01. Gases 
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring 
05. General::05.08. Risk::05.08.01. Environmental risk 
AbstractIn open conduit volcanoes, volatile-rich magma continuously enters into the feeding system nevertheless the eruptive activity occurs intermittently. From a practical perspective, the continuous steady input of magma in the feeding system is not able to produce eruptive events alone, but rather surplus of magma inputs are required to trigger the eruptive activity. The greater the amount of surplus of magma within the feeding system, the higher is the eruptive probability.Despite this observation, eruptive potential evaluations are commonly based on the regular magma supply, and in eruptive probability evaluations, generally any magma input has the same weight. Conversely, herein we present a novel approach based on the quantification of surplus of magma progressively intruded in the feeding system. To quantify the surplus of magma, we suggest to process temporal series of measurable parameters linked to the magma supply. We successfully performed a practical application on Mt Etna using the soil CO2 flux recorded over ten years.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
srep30471(2).pdfMain article500.97 kBAdobe PDFView/Open
Show full item record

Page view(s)

75
Last Week
0
Last month
checked on Jun 21, 2017

Download(s)

25
checked on Jun 21, 2017

Google ScholarTM

Check

Altmetric