Akademik Veri Yönetim Sistemi
7TH INTERNATIONAL AZERBAIJAN CONGRESS ON LIFE, ENGINEERING, MATHEMATICAL, AND APPLIED SCIENCES, Baku, Azerbaycan, 25 - 27 Haziran 2024, ss.206-216
After an earthquake occurs, it is important to quickly and accurately determine its location. In
this study, a metaheuristic algorithm is proposed with a different perspective compared to traditional methods to determine the location parameters of earthquakes more accurately. In
this study, Red Kite Optimization method (ROA), which is included in metaheuristic algorithms, is proposed. Red kites are a kind of bird of prey, and their behavior serves as the
basis for the ROA method, an optimization method inspired by nature. To effectively locate prey, it imitates the hunting technique used by red kites. In the first step of this study, the applicability and performance of the method were tested with the scenario earthquake. In the second step, noise was added to the arrival times of the stations and the degree to which the noise impacted the solution's functionality was evaluated. In the last step, the method was
applied to the Pazarcık (Kahramanmaraş) earthquake occurred on February 6th, 2023. For the noise-free scenario earthquake data set, full resolution was obtained for all parameters defining the earthquake (latitude, longitude, depth and origin time), but a very small mismatch of 0.05% was obtained in the longitude and latitude in the noisy data. In the noisy data solution, a mismatch of approximately 12% can be mentioned in the depth parameter. Finally, the optimization method was applied to the Pazarcık earthquake as a real earthquake and it was
seen that successful solutions were achieved when compared with the results of different solution centers. The study's outcome was that, in contrast to the depth parameter, the longitude and latitude parameters of the earthquake scenario were solved with significantly fewer mistakes.