An Intelligent Earthquake Early Waring Model Using JRG Sub-cluster Statistics Theory

Using strain precursor to predict the earthquake has proven to be crucial for earthquake early warning. However, there is currently problem that it is hard to establish more effective intelligent analyzing models for earthquake early warning. In this paper, we introduced the core concept and ideas of JRG Sub-cluster statistics theory and three risk limits at first. Meanwhile, we put forward the analyzing models for earthquake early warning system using JRG Sub-cluster theory. Then, the architecture of earthquake early warning system integrating early warning model, RS and GIS was put forward. Finally, Earthquake Early Warning System based on this architecture was implemented.