Machine learning aids earthquake risk prediction

Soil liquefaction was a major feature of the 2011 Christchurch, New Zealand earthquake that killed 185 people. Researchers developed a machine learning model to predict the amount of lateral movement that can be expected from liquefaction during a natural hazard event. Their model, trained on Christchurch data, was 70% accurate at determining the amount of displacement that occurred.

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