loading page

An All-in-One Rapid Prediction of Ground Motion Intensity Measures Hybrid Network for Multi-Task in The North-South Seismic Belt of China
  • +1
  • Qingxu Zhao,
  • Mianshui Rong,
  • Bin Zhang,
  • Xiaojun LI
Qingxu Zhao
Beijing University of Technology
Author Profile
Mianshui Rong
Beijing University of Technology

Corresponding Author:[email protected]

Author Profile
Bin Zhang
Institute of Earthquake Forecasting, China Earthquake Administration
Author Profile
Xiaojun LI
Institute of Geophysics, CEA
Author Profile

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.
30 Mar 2024Submitted to ESS Open Archive
12 Apr 2024Published in ESS Open Archive