UCR Algorithm Pinpoints High-Risk Zones for Massive Earthquakes

Geophysicists at the University of California, Riverside, have developed an algorithm capable of identifying the specific locations where massive earthquakes are most likely to occur. By measuring strain accumulation along subduction zones, the researchers can pinpoint high-risk areas long before a rupture happens.

The method focuses on identifying "asperities," which are locked portions of faults that resist motion and store energy until they eventually fail. In a paper detailed in Geophysical Research Letters, the research team led by UCR geophysicists Gareth Funning and Axel Periollat explains how they use GPS measurements of subtle ground movement to track how the Earth's surface deforms as tectonic plates lock together. In a critical test case, the model successfully highlighted the specific section of the Kamchatka subduction zone in Russia where a major earthquake later struck.

The Mechanics of Strain

Subduction zones, where one tectonic plate slides beneath another, are the primary drivers of the world's most powerful seismic events, including those exceeding magnitude 8.5 and the resulting devastating tsunamis. While the exact timing of these events remains unpredictable, the physical process of energy buildup is observable. "Earthquakes capture headlines when they happen, but for years beforehand the fault is quietly accumulating strain," said Gareth Funning. "This strain can be measured."

Implications for Global Safety

This shift in focus—from predicting when an earthquake will hit to where it is most likely to occur—provides a practical tool for long-term risk management. By narrowing down the highest-risk sections of a fault, governments and engineers can implement more targeted disaster planning and infrastructure reinforcements. This is particularly vital for high-risk seismic regions including Japan, Mexico, New Zealand, and the Pacific Northwest, where urban centers are built atop volatile subduction zones.

The Path Forward

Despite the success in the Kamchatka region, the researchers emphasize that this is not a short-term warning system. Axel Periollat noted that while they can identify where large earthquakes are likely to occur, predicting the exact timing remains elusive. Future efforts will focus on applying this algorithm to other global subduction zones to create a more comprehensive map of locked fault segments, providing a clearer picture of which coastal communities face the greatest long-term threat.