Earthquake Epicenter Forecast Studies with Single-Station and Multi-Station Algorithms Using 30.10.2020 Sesame Earthquake Records

H. Turan*, K. Peker, B. Taskin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

After an earthquake, it is possible to apply numerical analysis procedures to the data captured by the earthquake monitoring network. With the use of advanced algorithms integrated into the seismographs at the recording stations, the epicenter of the earthquake and the intensity distribution around it can be estimated within seconds, even while the earthquake tremors are still happening. Forecasting the intensity distribution around the epicenter and potential structural damages and losses in residential areas enables us to anticipate all of these scenarios. To anticipate all the potential scenarios, it is necessary to analyze many complex data parameters. However, accurate calculation of the coordinates of the earthquake’s epicenter and its distance to surrounding settlements is the primary requirement. Although it is possible to make an approximate estimation of the earthquake epicenter when the earthquake waves reach a single station capable of recording three components, the margin of error decreases as the number of recording stations increases. The earthquake at Samos on October 30, 2020, with a moment magnitude of Mw 6.6, was used in this study. The algorithms designed for approximating the earthquake epicenter using data from single and multiple stations were utilized to compare the estimated epicenter with the actual coordinates, and the effectiveness of the approach was assessed. The study concluded with remarks regarding the utilization of the data gathered by the earthquake early warning systems.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Earthquake Engineering and Seismology - 7ICEES 2023—Volume 2
EditorsMurat Altug Erberik, Aysegul Askan, Mustafa Kerem Kockar
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-15
Number of pages13
ISBN (Print)9783031573569
DOIs
Publication statusPublished - 2024
Event7th International Conference on Earthquake Engineering and Seismology, ICEES 2023 - Antalya, Turkey
Duration: 6 Nov 202310 Nov 2023

Publication series

NameLecture Notes in Civil Engineering
Volume401 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference7th International Conference on Earthquake Engineering and Seismology, ICEES 2023
Country/TerritoryTurkey
CityAntalya
Period6/11/2310/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Earthquake data processing
  • Earthquake early warning
  • Epicenter forecasting

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