Earthquake prediction models

Earthquake prediction models analyze data such as seismic activity, fault lines, and historical patterns to estimate the likelihood of future quakes. They use advanced algorithms and sensors to detect subtle ground movements, stress accumulation, and changes in underground structures. While predicting the exact time and location remains challenging, these models help identify areas at higher risk, improving preparedness and early warning systems. Ongoing research aims to refine predictions, integrating more data for better accuracy in forecasting earthquakes and minimizing their impact on communities.