GoKawiilAI Analysis of 2 Million Earthquakes Reveals New Deep-Earth Structures
Researchers at the Chinese Academy of Sciences used a machine learning algorithm to sift through seismic data from over two million earthquakes recorded between 1990 and 2024, uncovering nearly 175,000 so-called PKP precursor signals. These faint seismic echoes, arriving before the main earthquake waves, point to small irregular structures located roughly 1,800 miles underground near the boundary between Earth's solid mantle and liquid outer core.
GoKawiil's interpretation of the reporting above, not reported fact.
This automated approach found about ten times more of these signals than all prior manual studies combined, producing the most detailed map yet of hidden formations deep inside the planet, including six previously undocumented regions. Better maps of these deep structures could reshape scientific understanding of how heat and material move within Earth's interior, which in turn influences everything from plate tectonics to the planet's magnetic field.
- A machine learning algorithm processed seismic data from 2 million+ earthquakes spanning 34 years.
- Scientists identified nearly 175,000 PKP precursor signals, ten times more than previous manual research combined.
- The study revealed six new regions of small-scale heterogeneities near the mantle-core boundary, about 1,800 miles deep.
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Published there as: “Scientists Detect Strange New Structures Deep Inside the Earth”
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