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Tracking A Volcanic Hot Spot: Satellite Imagery Detects Location Of Seismic Unrest At Mauna Loa

Date:
May 24, 2007
Source:
University of Miami Rosenstiel School of Marine & Atmospheric Science
Summary:
Using a state-of-the-art satellite imagery technique, researchers can more precisely predict volcanic activity, bringing them closer to understanding where eruptions may occur. A new study in Science examines Mauna Loa's volcanic activity. With this new technique, researchers can more precisely forecast locations of volcanic activity -- providing critical information to improve warning systems and hazard assessment of populated areas surrounding one of the world's most naturally dangerous ecosystems, volcanoes.
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Using a state-of-the-art satellite imagery technique, researchers are able to more precisely predict volcanic activity, bringing them steps closer to understanding where an eruption may occur.

A new research study, titled "Stress Control of Deep Rift Intrusion at Mauna Loa Volcano, Hawaii," being published in the May 18 issue of the journal Science uses satellite imagery to study volcanic activity at Mauna Loa on the Big Island of Hawaii. With this new technique, researchers can more precisely forecast locations of volcanic activity -- providing critical information to improve warning systems and hazard assessment of populated areas surrounding one of the world's most naturally dangerous ecosystems, volcanoes.

A team of researchers, lead by Dr. Falk Amelung, a geology and geophysics assistant professor at the University of Miami Rosenstiel School of Marine and Atmospheric Science, used interferometric synthetic aperture radar (InSAR) from 2002 to 2005 to obtain images of the ground deformation associated with volcanic activity. Researchers were able to see distinct patterns of magma activity associated with rift zones, long narrow fractures in the earth's crust from which lava flows out. Magma pathways were unclamped by past eruptions and earthquakes, leaving a place for the magma to enter. Magma accumulates in the rift zones, pushed the flanks apart, creating stress in the area that ultimately erupts.

"We are able to infer very precisely where magma accumulation occurred and we have an explanation why it occurred in this particular location," Amelung said. "We now have a good idea where the next eruption is most likely to occur. This technique can be employed on other large volcanoes to better forecast eruption locations."

Researchers are studying Mauna Loa because it's the largest and one of the most active volcanoes on Earth. The main volcanic hazards, lava flows and flank collapse, can pose a significant hazard to populated areas. Flank collapse, which can trigger tsunamis, creates an additional hazard to these increasingly populated areas of volcano flanks, like Mauna Loa volcano. This research technique can be applied to other active volcanoes, Mt. Etna in Italy, Piton de la Fournaise on Reunion Island, Kilauea in Hawaii, and many others, including in Central America.

NASA's Earth Science program and the National Science Foundation Geophysics program provided funding for this research.


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Materials provided by University of Miami Rosenstiel School of Marine & Atmospheric Science. Note: Content may be edited for style and length.


Cite This Page:

University of Miami Rosenstiel School of Marine & Atmospheric Science. "Tracking A Volcanic Hot Spot: Satellite Imagery Detects Location Of Seismic Unrest At Mauna Loa." ScienceDaily. ScienceDaily, 24 May 2007. <www.sciencedaily.com/releases/2007/05/070517142549.htm>.
University of Miami Rosenstiel School of Marine & Atmospheric Science. (2007, May 24). Tracking A Volcanic Hot Spot: Satellite Imagery Detects Location Of Seismic Unrest At Mauna Loa. ScienceDaily. Retrieved October 3, 2024 from www.sciencedaily.com/releases/2007/05/070517142549.htm
University of Miami Rosenstiel School of Marine & Atmospheric Science. "Tracking A Volcanic Hot Spot: Satellite Imagery Detects Location Of Seismic Unrest At Mauna Loa." ScienceDaily. www.sciencedaily.com/releases/2007/05/070517142549.htm (accessed October 3, 2024).

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