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Discrimination of earthquakes and quarries in the Edirne district (Turkey) and its vicinity by using a linear discriminate function method and artifcial neural networks

Tan Aylin, Horasan Gündüz, Kalafat Doğan, Gülbağ Ali

Acta Geophysica

2021

Vol. 69, no. 1

17--27

In this study, seismic events in the Edirne district (Turkey) and its vicinity have been investigated in order to discriminate earthquakes from quarry blasts. A total of 150 seismic events with Md≤3.5 duration magnitude from a seismic activity catalog between 2009 and 2014 recorded by the Enez (ENEZ), Erikli (ERIK) and Gelibolu (GELI) broadband stations operated by Boğaziçi University, Kandilli Observatory and Earthquake Research Institute Regional Earthquake-Tsunami Monitoring Center were used in this study. The maximum S-wave and maximum P-wave amplitude ratio of vertical component velocity seismograms, power ratio (Complexity) and total signal duration of the waveform were calculated. Earthquakes and quarry blasts were discriminated using the linear discriminate function (LDF) and back propagation feed forward neural networks, an artifcial neural network (ANN) learning algorithm, taking the determination coefcient and variance account values between these parameters into consideration. Eighty-one (54%) of the total 150 seismic events studied were determined to be earthquakes, and sixty-nine (46%) of them were determined to be quarry blasts. The LDF and ANNs methods were applied to the data in Edirne and its vicinity using a pair of parameters and were compared to each other for the frst time. The accuracy of the methods are 95% and 99% for LDF and ANNs, respectively.

Classification of seismic events using linear discriminant function (LDF) in the Sakarya region, Turkey

Budakoğlu E., Horasan G.

Acta Geophysica

2018

Vol. 66, no. 5

895--906

The Sakarya prefecture is an interesting area with various seismicity types. This activity comes from earthquakes occurring at the North Anatolian Fault Zone and from a few quarry blast areas in the region. These quarry blast recordings produce errors in the determination of active faults and mapping of the microearthquake activity. Therefore, to recognize the tectonic activity in the region, we need to be able to discriminate between earthquakes and quarry blasts in the catalogues. In this study, a statistical analysis method (linear discriminant function) has been applied to classify seismic events occurring in the Sakarya region. We used 110 seismic events that were recorded by Sakarya University Seismic Station between 2012 and 2014. Time and frequency variant parameters, maximum S wave and maximum P wave amplitude ratio (S/P), the spectral ratio (Sr), maximum frequency (fmax), and total signal duration of the waveform were used for discrimination analyses. The maximum frequency (fmax) versus time duration of the seismic signal gives a higher classification percentage (94%) than the other discriminants. At the end of this study, 41 out of 110 events (44%) are determined as quarry blasts, and 62 (56%) are considered as earthquakes.

Discriminating quarry blasts from earthquakes in Vértes Hills (Hungary) by using the Fisher-Shannon method

Telesca L., Lovallo M., Kiszely M.M., Toth L.

Acta Geophysica

2011

Vol. 59, no. 5

858-871

The Fisher-Shannon information (FS) plane, defined by the Fisher information measure (FIM), and the Shannon entropy power, N x , is a robust tool for investigating the complex dynamics of time series. In the FS plane, earthquakes and quarry blasts measured in Vértes Hills (Hungary) are significantly discriminated from each other. Furthermore, the results of the receiving-operating characteristics (ROC) analysis reveal that FIM is a classifier more efficient than N x in discriminating earthquakes from quarry blasts.