Investigation on an application of emergency rescue in the initial natural earthquake by wavelet analysis

Abstract Earthquake brings great harm to humans. In order to achieve the desired effect and mitigation effectiveness of early warning, it must reduce the time of rapidly assessing earthquake location and processing seismic and other data. Seismic phase identification based on the wavelet analysis is a powerful and widely spread method in identifying the initial earthquakes. We can get the signals’ recognition factor of S wave and P wave in different scale. Then according to these recognition factors, we can determine the positioning function of primary earthquake of S wave and P wave. Next through the positioning function, we can easily pick up the first arrival of P wave and S wave. The wavelet packet analysis is a more precise analysis method of signal, which makes the frequency band multi-level division, and further decomposes the high-frequency part. Also, the wavelet analysis does not subdivide, and according to the characteristics of analysis-signal, the adaptive-select the corresponding frequency band is matched by the frequency spectrum of the signal, improving the time-frequency resolution. This paper mainly investigated the applications of initial earthquakes identification on emergency rescue, and it can be a useful theoretical reference for further relevant research.