Yellowstone’s electrical conductivity hints volcano plume is bigger than thought

11 April 2011

Joint Release

WASHINGTON—Geophysicists have made the first large-scale picture of the electrical conductivity of the gigantic underground plume of hot and partly molten rock that feeds the Yellowstone supervolcano. The image suggests that the plume beneath the volcanically active area—renowned today for geysers and hot springs—is even bigger than it appears in earlier images made with earthquake waves.

pr_2011-16-hi-res

This image, based on variations in electrical conductivity of underground rock, shows the volcanic plume of partly molten rock that feeds the Yellowstone supervolcano. Yellow and red indicate higher conductivity, green and blue indicate lower conductivity. Made by University of Utah geophysicists and computer scientists, this is the first large-scale “geoelectric” image of the Yellowstone hotspot.
Credit: American Geophysical Union

“It’s like comparing ultrasound and MRI in the human body; they are different imaging technologies,” says geophysics Professor Michael Zhdanov of the University of Utah in Salt Lake City. Zhdanov is  principal author of the new study and an expert on measuring magnetic and electrical fields on Earth’s surface to find oil, gas, minerals and geologic structures underground.

“It’s a totally new and different way of imaging and looking at the volcanic roots of Yellowstone,” says study co-author Robert B. Smith, professor emeritus and research professor of geophysics, also at University of Utah, and a coordinating scientist of the Yellowstone Volcano Observatory.

In the past 2 million years, three eruptions at Yellowstone have been huge, belching enough volcanic ash to cover half of North America. The new study says nothing about the chances of another cataclysmic caldera (giant crater) eruption at Yellowstone, but it provides scientists with a valuable, new perspective on the vast and deep reservoir of fiery material that feeds such eruptions.

The new study has been accepted for publication in Geophysical Research Letters, a journal of the American Geophysical Union, which plans to publish it within the next few weeks.

In a December 2009 study, Smith used seismic waves from earthquakes to make the most detailed seismic images yet of the “hotspot” plumbing that feeds the Yellowstone volcano. Seismic waves move faster through cold rock and slower through hot rock. Measurements of seismic-wave speeds were used to make a three-dimensional picture, quite like X-rays are combined to make a medical CT scan.

The 2009 images showed the plume of hot and molten rock dips downward from Yellowstone at an angle of 60 degrees and extends 240 kilometers (150 miles) west-northwest to a point at least 660 km (410 mi) under the Montana-Idaho border – as far as seismic imaging could “see.”

In the new study, images of the Yellowstone plume’s electrical conductivity – generated by molten silicate rocks and hot briny water that is naturally present and mixed in partly molten rock – shows the conductive part of the plume dipping more gently, at an angle of perhaps 40 degrees to the west, and extending perhaps 640 km (400 mi) from east to west. The geoelectric image can “see” only 320 km (200 mi) deep.

Two Views of the Yellowstone Volcanic Plume

Smith says the geoelectric and seismic images of the Yellowstone plume look somewhat different because “we are imaging slightly different things.” Seismic images highlight materials such as molten or partly molten rock that slow seismic waves, while the geoelectric image is sensitive to briny fluids that conduct electricity.

“It [the plume] is very conductive compared with the rock around it,” Zhdanov says. “It’s close to seawater in conductivity.”

The lesser tilt of the geoelectric plume image raises the possibility that the seismically imaged plume, shaped somewhat like a tilted tornado, may be enveloped by a broader, underground sheath of partly molten rock and liquids, Zhdanov and Smith say.

“It’s a bigger size” in the geoelectric picture, says Smith. “We can infer there are more fluids” than shown by seismic images. Despite differences, he says, “this body that conducts electricity is in about the same location with similar geometry as the seismically imaged Yellowstone plume.”

Zhdanov says that last year, other researchers presented preliminary findings at a meeting comparing electrical and seismic features under the Yellowstone area, but only to shallow depths and over a smaller area.

The study was conducted by Zhdanov, Smith, two members of Zhdanov’s lab – research geophysicist Alexander Gribenko and geophysics Ph.D. student Marie Green – and computer scientist Martin Cuma of the University of Utah’s Center for High Performance Computing. Funding came from the National Science Foundation (NSF) and the Consortium for Electromagnetic Modeling and Inversion, which Zhdanov heads.

The Yellowstone Hotspot at a Glance

Almost 17 million years ago, the deep plume of hot and partly molten rock known as the Yellowstone hotspot first breached the surface in an eruption near what is now the Oregon-Idaho-Nevada border. As North America drifted slowly southwest over the hotspot, there were more than 140 gargantuan caldera eruptions – the largest kind of eruption known on Earth – along a northeast-trending path that is now Idaho’s Snake River Plain.

The hotspot finally reached Yellowstone about 2 million years ago, yielding three huge caldera eruptions about 2 million, 1.3 million and 642,000 years ago. Two of the eruptions blanketed half of North America with volcanic ash, producing 2,500 times and 1,000 times more ash, respectively, than the 1980 eruption of Mount St. Helens in Washington state. Smaller eruptions occurred at Yellowstone in between the big blasts and as recently as 70,000 years ago.

Seismic and ground-deformation studies previously showed the top of the rising volcanic plume flattens out like a 480-kilometer-wide (300 mile-wide) pancake 80 km (50 mi) beneath Yellowstone. There, giant blobs of hot and partly molten rock break off the top of the plume and slowly rise to feed the magma chamber – a spongy, banana-shaped body of molten and partly molten rock located about 6 km to 16 km (4 to 10 mi) beneath the ground at Yellowstone.

Computing a Geoelectrical Image of Yellowstone’s Hotspot Plume

Zhdanov and colleagues used data collected by EarthScope, an NSF-funded effort to collect seismic, magnetotelluric and geodetic (ground deformation) data to study the structure and evolution of North America. Using the data to image the Yellowstone plume was a computing challenge because so much data was involved.

Inversion is a formal mathematical method used to “extract information about the deep geological structures of the Earth from the magnetic and electrical fields recorded on the ground surface,” Zhdanov says. Inversion also is used to convert measurements of seismic waves at the surface into underground images.

Magnetotelluric measurements record very low frequencies of electromagnetic radiation – about 0.0001 to 0.0664 Hertz – far below the frequencies of radio or TV signals or even electric power lines. This low-frequency, long-wavelength electromagnetic field penetrates some three hundred kilometers (about 200 mi) into the Earth. By comparison, TV and radio waves penetrate only a fraction of a centimeter (inch).

The EarthScope data were collected by 115 stations in Wyoming, Montana and Idaho – the three states straddled by Yellowstone National Park. The stations, which include electric and magnetic field sensors, are operated by Oregon State University for the Incorporated Research Institutions for Seismology, a consortium of universities.

In a supercomputer, a simulation predicts expected electric and magnetic measurements at the surface based on known underground structures. That allows the real surface measurements to be “inverted” to make an image of underground structure.

Zhdanov says it took about 18 hours of supercomputer time to do all the calculations needed to produce the geoelectric plume picture. The supercomputer was the Ember cluster at the University of Utah’s Center for High Performance Computing, says Cuma, the computer scientist.

Ember has 260 nodes, each with 12 CPU (central processing unit) cores, compared with two to four cores commonly found on personal computer, Cuma says. Of the 260 nodes, 64 were used for the Yellowstone study, which he adds is “roughly equivalent to 200 common PCs.” To create the geoelectric image of Yellowstone’s plume required 2 million pixels, or picture elements.

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This illustration compares two views of the volcanic plume that feeds the supervolcano at Yellowstone National Park. The “geoelectric” image on the left is a new one based on variations in electrical conductivity of rock and fluids underground. It shows the plume dipping about 40 degrees to the west, and the method can only “see” the plume to a depth of about 320 kilometers (200 miles). The more conventional seismic image on the right was made using earthquake waves. The seismic image shows the volcanic plume dipping 60 degrees to the west-northwest and the plume reaches a depth of at least 660 kilometers, or 410 miles (this image doesn’t go that deep). Together, the two images suggest then Yellowstone hotspot plume is bigger than had been thought based in the seismic image alone.
Credit: American Geophysical Union

Joint Release

AGU Contact:
Kathleen O’Neil, +1 202 777 7524, koneil@agu.org

University of Utah Contact:
Lee Siegel, Office +1 801 581 8993, Cell +1 801 244 5399, leesiegel@ucomm.utah.edu


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Title

“Three-Dimensional Inversion of Large-Scale EarthScope Magnetotelluric Data Based On The Integral Equation Method: Geoelectrical Imaging Of The Yellowstone Conductive Mantle Plume”

Michael S. Zhdanov, Robert B. Smith, Alexander Gribenko, Martin Cuma, and Marie GreenDepartment of Geology and Geophysics, University of Utah, Salt Lake City, Utah, USA.

Michael Zhdanov: professor of geophysics: office (801) 581-7750, michael.zhdanov@utah.edu
Robert B. Smith: research professor and emeritus professor of geophysics: office (801) 581-7129,robert.b.smith@utah.edu