Research Information System
Sertçelik F. (Executive) , Irmak T. S. , Yavuz E. , Kafadar Ö. , Livaoğlu H. , Şentürk E. , et al.
Project Supported by Other Official Institutions, 2019 - 2021
In this project, it is
aimed to classify the blast and the earthquakes occurred in Turkey using
velocity based seismometers operated by AFAD by carrying out different methods.
It is also one of the essential purpose of this project to obtain linear and
quadratic equations discriminating the two different dataset integrated with
Turkey’s Seismological Network within a Ui software that will be created by the
project team. The seismic networks are generally induced by undetectable events
due to artificial blast like explosions especially in mine and tunnel-road
construction sites causing the events classified as earthquakes which are not.
Approximately 2023 blast sites (stone quarry) and 15000 quakes with less than
2.5 magnitudes (M≤2.5) in the AFAD catalogues were inspired us to reveal the
investigation of discrimination analysis. Within the scope of this proposed
project (1); acquiring the earthquake records with less than magnitude 2.5 for
per station with average 100 events (in the case of at least %20 of events
being blast or earthquake record) from AFAD seismological data management, (2)
Classifying the events according to their time and location information
(day-night, marine-land etc.), (3) detecting first arrival P waves’s direction,
(4) determining max. Amplitude of P and S wave and implemetation amplitude
ratio method, (5) performing complexity analysis based on integration of P and
S wave’s amplitudes at two different time window, (6) applying short-time
Fourier and wavelet transforms, (7) calculating the power spectra, (8),
Deriving linear and quadratic discrimination equations representing the results
for per analyised station, (9), verifying weights coefficients for the methods,
(10), making a software using MATLAB program to perform the methods, (11), and
It will be set out of Integrating this program to AFAD’s seismic network and
provide trains for the software. As a result of the proposed project, a PhD and
MSc thesis are planned to be carried out. This project will be a pioneer study
for decimation analysis of artificial and naturel source events within the
context of AFAD and it could be a promising case study for other seismic
networks. The software to develop for the proposed project will be the
comprehensive program.