Recreating unprecedented depth and detail inside volcanoes.

The image shows the inside of the volcano and the magma region beneath.

SCREENSHOT FROM SCIENCE ALERT

Researchers have developed a new, intelligent imaging technique that allows us to look deep inside massive volcanoes with unprecedented detail and depth.

A research team at the French National Centre for Scientific Research (CNRS) and the Paris Institute for Planetary Physics (PIGP) borrowed ideas from medical imaging and optical microscopy to develop their approach, according to Science Alert on September 30.

This is a new method applied to existing techniques called matrix imaging and helps overcome some of the difficulties in mapping volcanoes, such as the lack of many sensors (seismic receivers) to record seismic waves reflected from the Earth.

These waves can be interpreted to identify different types of materials and layouts within the Earth's crust. With the help of matrix imaging, that interpretation becomes significantly easier.

"Volcanic eruptions require precise monitoring of magma pressure and swelling for better prediction. Understanding deep magma reservoirs is crucial for risk assessment, but imaging these systems is a challenge," according to research published in the journal Nature .

For the experiment, researchers chose the La Soufrière volcano in Guadeloupe, a French overseas territory in the Caribbean. The coverage provided by the seismometer network used at this location was described by the researchers as "sparse".

"Matrix imaging technology has successfully decoded waveform distortions, revealing the internal structure of the La Soufrière volcano at depths of up to 10 km," according to the researchers.

Findings from this study include the presence of multiple complex layers of magma stored underground and how these layers connect to other deep geological structures.

This additional data provides a better understanding of what is happening inside the volcano, meaning that the timing of an eruption can be predicted more accurately.

The good news is that no additional sensors are needed, as matrix imaging can work with the existing data. Researchers believe that these methods could also be applied in other locations.

Source: https://thanhnien.vn/tai-tao-hinh-anh-sau-va-chi-tiet-chua-tung-thay-ben-trong-nui-lua-18524093008412251.htm