This Sensor Network Could Help Predict Bluff Collapses Along California's Coast

Researchers at UC San Diego’s Scripps Institution of Oceanography have developed a new method to predict coastal landslides along California’s shoreline, successfully forecasting five collapses hours or days in advance. Using advanced sensors such as seismometers and tiltmeters at key sites, the team detected ground movements leading up to collapses, demonstrating potential for early warning systems. This breakthrough aims to mitigate fatalities and damage caused by bluff failures, especially as sea level rise and strong El Niño conditions increase erosion risks.

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