Predicting Seismic Intensity Using Machine Learning With Ancillary Data: Evidence From Destructive Earthquakes in China
Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response. This is especially true during the initial “black‐box” period, when real‐time data are scarce. To address this challenge, we developed a machine learning‐based (ML) framework for predicting kilometer‐grid‐scale seismic...