Distinguishing and identification method of natural earthquake and manual explosion

Abstract

The present invention discloses a distinguishing and identification method of a natural earthquake and manual explosion, belonging to the field of earthquake source class identification. The method comprises the steps of: selecting earthquake source data, and converting longitudes and latitudes of a monitoring point as flat panel display; extracting earthquake source data of each monitoring station in the same earthquake event at the same moment, employing an interpolation algorithm to convert the earthquake source data to corresponding color pixel values and displaying the corresponding colorpixel values to corresponding flat panel coordinates on the flat panel, and obtaining a whole MIP space-time sequence image; and continuously extracting earthquake source data of each monitoring station in the same earthquake event at the next moment, generating a corresponding MIP space-time sequence image until the event is finished, and obtaining MIP space-time image series formed by the obtained MIP space-time sequence images; according to the MIP space-time image series, extracting the change features and the average brightness of colors in the MIP space-time sequence images; and performing distinguishing and identification of the natural earthquake and the manual explosion according to the change features and the average brightness. The distinguishing and identification method of the natural earthquake and the manual explosion can perform distinguishing and identification of the natural earthquake and the manual explosion.

Description

technical field [0001] The invention relates to the field of seismic source category identification, in particular to a method for distinguishing and identifying natural earthquakes and artificial blasting. Background technique [0002] Seismic waveform signal is a reliable carrier for recording seismic activity. Seismic events are divided into natural earthquakes and non-natural earthquakes. Since the waveforms of artificial blasting and natural earthquakes are very similar, it has brought great difficulties to the analysis of seismic waveform data measured by various seismic stations. Since the middle of the 20th century, seismologists have conducted extensive research and exploration on the identification of nuclear explosions and natural earthquakes using seismic data at different distances. By analyzing the seismic waveforms measured by the seismic network, a series of waveforms The processing method can effectively identify natural earthquakes and artificial blasting...

AI Technical Summary

Problems solved by technology

However, this method can only be distinguished through manual visualization, there are certain human factors, and there are also graphics that cannot be visually distinguished; this undoubtedly limits the efficiency and accuracy of recognition and distinction

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