New Understanding โof Magma’s Internal Mechanics Poised โคto Revolutionize Volcano Eruptionโค Prediction
PARIS โ – A โคgroundbreaking finding regarding internal friction within magma is challenging existing models of volcanic eruption prediction, potentially offering aโ pathway to more accurate forecasts and improved safetyโ measures for at-risk populations. Researchers have found that volcanoes possess aโ “mechanical self-regulation capacity” stemming from shear forces deep withinโ the magma chamber, enabling a gradual, almost silent degassing process before anyโข potential explosive event.
Traditionally, eruption prediction has centered on monitoring surface-level indicators likeโ pressure, โคgas emissions, and microseisms.Though,this newโข research highlights the critical role of โขpreviously overlooked internal forces that alter magma behavior before it evenโ nears the โsurface. The internal friction allows magma to release gases through a “deep degassing” process, effectively easing โฃpressure and potentially preventing โฃor delaying eruptions.
The phenomenon was observed in the case โฃof Mount Saint Helens. In 1980, predictions pointed to an immediate, explosiveโ eruption, but the volcano initially produced a slow-moving lava dome.Researchers nowโ believe the magma hadโ already lost a notable portionโ of its gas content โdue to shear forces at depth, partially emptying before reaching the surface and delaying the eventual, landslide-triggered explosion.
“This observation changes everything,” researchers state. Integrating these “invisible internal forces” โinto existing forecast models is now considered a key โadvancement. Understanding the formation of degassing channels and bubble networks within the magma could allow scientists to differentiate between a volcano undergoing โharmless degassingโ and one poised for a perilous โeruption.
This nuanced understanding promises to refine alert strategies โขand, ultimately, save lives in volcanic hazard zones. The research suggests a future where scientists can more accurately assess the true threat level of a volcano, moving beyond reliance on solely surface-level observations.