Seismic instruments: article

Аnnotation: The article presents a new method of classing acoustic and microseismic emission CLASI-k that rests on the analysis of waveform parameters (the rise time amplitude RA, the average frequency AF and the waveform in-dex WI). The method bases on the k-means clustering, which allows to separate subsets of events different in the scaled seismic energy (the ratio of radiated seismic energy to released seismic moment) and the source duration. In classing seismic events there is a principal opportunity to use source parameters (the seismic energy Es, the seismic moment M0 and the corner frequency f0) as the features of the CLASI-k algorithm. A good correspond-ence is observed between the classified subsets of events in transition from waveform parameters {RA, AF, WI} to source parameters {Es, M0, f0}. The CLASI-k method was applied to the data on mining seismicity induced by two ripple fired explosions in the Gubkin Mine of the KMAruda Mining Enterprise at the Korobkovo iron ore de-posit. The catalogs under analysis include 77 micro-events recorded after the explosion 06.07.2019 and 259 mi-cro-events after the explosion 24.10.2020. Applying the CLASI-k method has allowed to separate two subsets in the seismic catalogs. The events in first subset show scaled seismic energy (Es/M0) higher than 10–7 J/(N·m), while those in the second subset – lower than 10–7 J/(N·m). The events of the first type are of less source duration than those of the second type, the released seismic moment being the same.