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

doi:10.1007/s11600-020-00519-9

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Artykuł - szczegóły

Czasopismo

Acta Geophysica

2021 | Vol. 69, no. 1 | 17--27

Tytuł artykułu

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

Autorzy

Tan, Aylin , Horasan, Gündüz , Kalafat, Doğan , Gülbağ, Ali

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Warianty tytułu

Języki publikacji

Abstrakty

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.

Słowa kluczowe

trzęsienie ziemi funkcja liniowa dyskryminująca LDF sztuczne sieci neuronowe SSN

earthquake linear discriminant function LDF artificial neural networks ANNs quarry blast

Wydawca

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 1

Strony

17--27

Opis fizyczny

Bibliogr. 46 poz.

Twórcy

autor

Tan, Aylin

Natural Sciences Institute, Geophysical Engineering Department, Sakarya University, 54100 Sakarya, Turkey, aylin.tan@ogr.sakarya.edu.tr

autor

Horasan, Gündüz

Geophysical Engineering Department, Engineering Faculty, Sakarya University, 54100 Sakarya, Turkey

autor

Kalafat, Doğan

Kandilli Observatory and Earthquake Research Institute Regional Earthquake-Tsunami Monitoring Center, Boğaziçi University, 34000 Kandilli, Istanbul, Turkey

autor

Gülbağ, Ali

Computer Engineering Department, Computer and Information Sciences Faculty, Sakarya University, 54100 Sakarya, Turkey

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Typ dokumentu

Bibliografia

Identyfikatory

DOI

10.1007/s11600-020-00519-9

Identyfikator YADDA

bwmeta1.element.baztech-e57a9678-2c01-48dc-9faa-2d777652ae6b