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American Focus > Blog > Tech and Science > Magma chambers found lurking in dormant volcanoes
Tech and Science

Magma chambers found lurking in dormant volcanoes

Last updated: January 28, 2025 11:00 am
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A recent study published in the journal Nature Geoscience has challenged the traditional definitions of active and dormant volcanoes. While active volcanoes are those currently erupting or showing signs of potential eruption, dormant volcanoes are considered to be inactive but could still erupt in the future. Some volcanoes, like Mount Kilimanjaro and Mount Fuji, have not erupted in thousands of years but are still classified as dormant.

However, a team of scientists from Cornell University and the US Geological Survey discovered large magma chambers beneath six volcanoes in the Cascade Range in the northwestern United States. This included dormant volcanoes like Crater Lake, which have not shown any activity for thousands of years. The presence of these magma chambers challenges the idea of what separates an active volcano from a dormant one.

The researchers found that these magma chambers are persistent and exist beneath volcanoes throughout their lifetime, not just during active periods. This discovery is crucial for monitoring and predicting future volcanic activity, as it provides insight into the potential for eruptions even in seemingly dormant volcanoes.

The study also revealed a new, portable method for monitoring magma chambers using a small network of seismometers. By leveraging recent upgrades to seismic broadband stations near Cascade Range volcanoes, the researchers were able to create detailed subsurface images using scattered wavefields from distant earthquakes. This method could be applied to other volcanoes around the world with just a small number of modern seismographic stations.

Overall, this research highlights the importance of understanding the presence of magma beneath volcanoes, even those considered dormant. By expanding monitoring networks and using innovative techniques, scientists can better predict and prepare for potential volcanic eruptions, ultimately providing early warnings to at-risk populations. Volcanoes are powerful and unpredictable natural phenomena that have the potential to cause widespread destruction and loss of life. Understanding these geological features is crucial for mitigating the risks associated with volcanic activity. A new approach to studying volcanoes, known as systemizing volcano studies, has the potential to revolutionize how we assess volcanic hazards on a global scale.

See also  Melting Glaciers Could Reawaken Hundreds of Earth's Volcanoes : ScienceAlert

“We think it can help systemize volcano studies, and provide a key piece of global frameworks for volcanic hazard assessment,” said a team of researchers who are pioneering this new approach. By standardizing the methods and tools used in volcano studies, researchers can more effectively analyze data and draw meaningful conclusions about volcanic behavior. This systematic approach will not only enhance our understanding of volcanoes but also improve our ability to predict and prepare for potential volcanic hazards.

One of the key benefits of systemizing volcano studies is the ability to create a comprehensive framework for volcanic hazard assessment. By establishing standardized protocols for data collection, analysis, and interpretation, researchers can develop a more accurate and reliable assessment of volcanic hazards. This information is crucial for informing emergency response plans, land use decisions, and public safety measures in volcanic regions.

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Overall, systemizing volcano studies has the potential to revolutionize how we understand and mitigate volcanic hazards. By standardizing research methods and data analysis, researchers can develop a more comprehensive framework for assessing volcanic risks. This information is crucial for informing public policy, emergency response plans, and disaster preparedness efforts in volcanic regions around the world.

See also  How Google’s dev tools manager makes AI coding work
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