Research news on volcanic eruption prediction

Volcanic eruption prediction methods encompass quantitative and qualitative techniques aimed at forecasting the onset, magnitude, and style of eruptive activity by integrating multi-parameter monitoring and modeling. Core approaches include analysis of seismicity (e.g., volcano-tectonic and long-period events), ground deformation from GPS and InSAR, gas emission fluxes and compositions, thermal anomalies, and hydrological/geomorphic signals. These observational data feed into physics-based models of magma ascent, conduit flow, and stress evolution, as well as statistical and probabilistic frameworks such as Bayesian event trees and pattern-recognition algorithms. Prediction focuses on estimating conditional probabilities and time windows of unrest-to-eruption transitions, with uncertainty quantification central to civil protection decision-making.

How an Atlantic island narrowly escaped 'stealthy' eruption

Thousands of earthquakes affecting Portugal's São Jorge Island in the Azores in March 2022 were triggered by a vast sheet of magma (molten rock) rising from more than 20km below Earth's surface and stalling just 1.6km beneath ...

A volcanic medley near Mammoth Lakes

Take a tour through volcanic history on the edge of the Sierra Nevada near Mammoth Lakes, California. Between the tall granite peaks to the west and the Basin and Range province to the east, overlapping volcanic complexes ...

Unraveling active magma by drilling in the heart of volcanoes

Although volcanic eruptions are spectacular natural events that occur around the world every day, most volcanoes spend the majority of their time not erupting. To accurately forecast volcanic activity, it's important to characterize ...

Japan's giant caldera volcano is refilling 7,300 years later

The magma reservoir of the largest volcanic eruption of the Holocene is refilling. This Kobe University insight on the Kikai caldera in Japan allows us to understand giant caldera volcanoes like Yellowstone or Toba more generally ...

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