Use of wavelets techniques to discriminate between explosions and natural earthquakes

Grouping of Tectonic Earthquakes in the Province of Nusa Tenggara Barat Indonesia with K-Means Cluster Method Approach and Determination of Distribution Type

“…The point process approach is also applied Wattimanela et al [10] in classifying earthquakes. Application of statistical and spectral analysis to detect possible ionospheric precursors from earthquakes by Oikonomou, et al in 2017 [11] and Becar-Varela, et al in 2016 [12] distinguish between explosions and earthquakes by using wavelet analysis. Then Brown, et al in 2008 [13] used approach correlation and autocorrelation to identify low frequency earthquakes.…”

Discriminating Between Explosions and Earthquakes by the SDFA Method

“…One of the major seismological recent challenges is to monitor humanmade explosion arising from mining, road excavating, and other constructional applications. Therefore, the development of methodologies that ensure a correct identification of the type of source generating a recorded seismic signal is, from many perspectives, a very significant and critical issue (see Beccar-Varela et al, 2016).…”

“…For instance, Kwang-Hyun (2014) proposed a discrimination method based on the solutions of a double integral transformation in the wave number and frequency domains. Beccar-Varela et al, (2016) investigate the use of wavelets technique as a potential tool to discriminate between natural tectonic earthquakes and humanmade explosions; they investigate and compare the characteristics of the seismic waves generated by a cluster of earthquakes and a set of mining explosions. In Vargas et al (2017) different waveform-based discrimination parameters were tested using multivariate statistical analysis to develop a real-time procedure for discriminating explosions from earthquakes at regional distances in the Iberian Peninsula.…”