A sequence of intraplate earthquakes occurred in Arizona at the same location where mining explosions were carried out in previous years. The explosions and some of the earthquakes generated very similar seismic signals. In this study Dynamic Fourier Analysis is used for discriminating signals originating from natural earthquakes and mining explosions. Frequency analysis of seismograms recorded at regional distances shows that compared with the mining explosions the earthquake signals have larger amplitudes in the frequency interval ~ 6 to 8 Hz and significantly smaller amplitudes in the frequency interval ~ 2 to 4 Hz. This type of analysis permits identifying characteristics in the seismograms frequency yielding to detect potentially risky seismic events.
Citation: Maria C. Mariani, Hector Gonzalez-Huizar, Masum Md Al Bhuiyan, Osei K. Tweneboah. Using Dynamic Fourier Analysis to Discriminate Between Seismic Signals from Natural Earthquakes and Mining Explosions[J]. AIMS Geosciences, 2017, 3(3): 438-449. doi: 10.3934/geosci.2017.3.438
A sequence of intraplate earthquakes occurred in Arizona at the same location where mining explosions were carried out in previous years. The explosions and some of the earthquakes generated very similar seismic signals. In this study Dynamic Fourier Analysis is used for discriminating signals originating from natural earthquakes and mining explosions. Frequency analysis of seismograms recorded at regional distances shows that compared with the mining explosions the earthquake signals have larger amplitudes in the frequency interval ~ 6 to 8 Hz and significantly smaller amplitudes in the frequency interval ~ 2 to 4 Hz. This type of analysis permits identifying characteristics in the seismograms frequency yielding to detect potentially risky seismic events.
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