New research investigates early warning signals of Anak Krakatau volcano collapse

Image: GFZ German Research Centre for Geosciences.

On 22 December 2018 a large chunk of the Anak Krakatau volcanic island collapsed into the ocean, causing a tsunami that swept across Indonesia’s Sunda Strait. Because tsunami early warning systems are exclusively equipped to detect tsunamis that are generated by earthquakes, this volcanic collapse-caused tsunami took place without a warning. In the coastal regions of Java and Sumatra, where people were struck off guard, the tsunami killed 400 people and injured many more.

A recent research study published in Nature Communications and led by the German Research Centre for Geosciences (GFZ) has detected deformations in Anak Krakatau leading up to the tsunami that could serve as an early warning system for future volcanic collapses. Satellite data plays a key role in developing such early warning systems by providing monitoring capabilities. As early as late June 2018, the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board of NASA’s Terra satellite identified thermal activity in the Anak Krakatau at an intensity not seen since the monitoring began in 2000. This eruptive phase that lasted 175 days added approximately 54 million metric tons of new material to the southern slopes of the volcano, which eventually collapsed into the ocean.

With the use of Interferometric Synthetic Aperture Radar (InSAR), a technique that uses radar pulses from satellites to map the ground, analysis showed that the southern side of the volcano was already slipping towards the ocean at a speed of 4 millimeters per month in the year preceding the collapse. With the increase in eruptive activity in June the flank movement reached 10 millimeters per month, which eventually resulted in the collapse.

The next step in developing an early warning system for future volcanic collapses is to analyze whether these findings apply to different cases as well. If so, satellite-based remote sensing provides yet another tool for disaster risk reduction efforts.

Publishing Date: 

13/11/2019

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