scholarly journals Probabilistic eruption forecasting and the call for an evacuation

2007 ◽  
Vol 34 (22) ◽  
Author(s):  
Warner Marzocchi ◽  
Gordon Woo
Keyword(s):  
Eruption Forecasting ◽  
Probabilistic Eruption Forecasting

Probabilistic eruption forecasting at short and long time scales

2012 ◽  
Vol 74 (8) ◽  
pp. 1777-1805 ◽  
Author(s):  
Warner Marzocchi ◽  
Mark S. Bebbington
Keyword(s):  
Time Scales ◽  
Eruption Forecasting ◽  
Probabilistic Eruption Forecasting ◽  
Long Time

Volcanic eruption forecasting

Impact ◽  
2018 ◽  
Vol 2018 (6) ◽  
pp. 66-68
Author(s):  
Kostas Konstantinou
Keyword(s):  
Volcanic Eruption ◽  
Eruption Forecasting

Recurrent Scattering Network detects metastable behavior in polyphonic seismo-volcanic signals for volcano eruption forecasting

2021 ◽  
pp. 1-1
Author(s):  
Angel Bueno ◽  
Randall Balestriero ◽  
Silvio De Angelis ◽  
Carmen Benitez ◽  
Luciano Zuccarello ◽  
...  
Keyword(s):  
Eruption Forecasting ◽  
Volcano Eruption

Monitoring Magma Under Volcanoes: The Future Of Eruption Forecasting And Geothermal Energy

2018 ◽  
Vol 2018 (HiTEC) ◽  
pp. 000001-000006
Author(s):  
John Eichelberger
Keyword(s):  
Geothermal Energy ◽  
Weather Forecasting ◽  
Extreme Environment ◽  
Eruption Forecasting ◽  
Magma Body ◽  
Surface Measurements ◽  
Small Footprint ◽  
Added Benefit ◽  
Increase In Productivity ◽  
Geothermal Drilling

Abstract Magma represents the most extreme environment in Earth's crust. Typical conditions at the top of a magma body are > 50 MPa and > 800°C. The location and conditions of magma storage were entirely speculative until recently when geothermal drilling encountered magma in Iceland, Kenya, and Hawaii. The door is now open, if appropriate sensors can be developed, to monitor conditions at the source of eruptions. This will move eruption forecasting, a concern for 10% of the world's population, from recognizing patterns in proxy surface measurements towards the reliability of weather forecasting. It can also aid in achieving a huge increase in productivity of geothermal energy, a clean, small-footprint, bed-load source. Aqueous fluids associated with magma are superheated to supercritical, providing 10× more effective transport of thermal energy and 3.5× more efficient conversion to electricity than conventional geothermal. As an added benefit, extraction from magma of 1 GWt for 30 years would render > 1 km3 of magma uneruptable.

Seismogenic lavas and explosive eruption forecasting

Nature ◽  
2008 ◽  
Vol 453 (7194) ◽  
pp. 507-510 ◽  
Author(s):  
Y. Lavallée ◽  
P. G. Meredith ◽  
D. B. Dingwell ◽  
K.-U. Hess ◽  
J. Wassermann ◽  
...  
Keyword(s):  
Explosive Eruption ◽  
Eruption Forecasting

Bayesian event tree for eruption forecasting (BET_EF) at Vesuvius, Italy: a retrospective forward application to the 1631 eruption

2009 ◽  
Vol 71 (7) ◽  
pp. 729-745 ◽  
Author(s):  
Laura Sandri ◽  
Emanuela Guidoboni ◽  
Warner Marzocchi ◽  
Jacopo Selva
Keyword(s):  
Event Tree ◽  
Eruption Forecasting ◽  
Bayesian Event Tree

In New Guinea, Eruption Forecasting Scores a Success

Science ◽  
1994 ◽  
Vol 265 (5181) ◽  
pp. 2005-2005
Author(s):  
R. A. Kerr
Keyword(s):  
New Guinea ◽  
Eruption Forecasting
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