An All-in-One Rapid Prediction of Ground Motion Intensity Measures
Hybrid Network for Multi-Task in The North-South Seismic Belt of China
Abstract
The north-south seismic belt of China poses a high risk of earthquakes,
necessitating the need for accurate and rapid prediction of intensity
measures (IMs) to prevent and mitigate potential damage. We have
developed a new multi-task model, CRAQuake, to predict IMs for the
north-south seismic belt of China. Using initial arrival seismic waves
recorded at a single station as input, CRAQuake simultaneously predicts
six IMs without relying on pre-configured parameters such as earthquake
source, path, and location. The model was trained on 4281 sets of strong
motion records datasets at 822 stations and tested to show highly
correlated results with the target IMs. The prediction performance
continues to improve as the input initial arrival seismic wave time
window increases. CRAQuake promises to enhance the accuracy and
timeliness of IMs prediction in the north-south seismic belt of China.