The recently compiled Turkish strong motion database: preliminary investigation for seismological parameters

Date

2010-07-01

Author

Akkar, Dede Sinan
Cagnan, Zehra
Yenier, Emrah
Erdogan, Oezguer
Sandikkaya, M. Abdullah
Gulkan, Polat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

3
views

0
downloads

Strong motion data recorded by the Turkish national strong motion network has been compiled and processed systematically for the first time, together with detailed geophysical and geotechnical site measurements for all of its stations. The catalog information of 18 seismological agencies and other sources were examined to obtain reliable source, geometry, and distance parameters for each event. The high quality digital and analog strong motion data was processed by a uniform methodology to remove the high- and low-frequency noise. Currently, the seismological and spectral information of 4,607 strong motion records are available for use by earth scientists and earthquake engineers. In this article, we present the fundamental features of this database and explain our methodology in their calculation. We present several comparisons of our database with other related studies to verify our approach during the computational stage of the seismological parameters. The results confirm the reliability of our calculations. The database has also enabled us to derive empirical magnitude conversion relationships to estimate moment magnitude in terms of different magnitude scales. The article ends with a discussion of the likely improvements in the European accelerometric data through contributions from this strong motion database applicable for seismically active shallow-crust regions. The findings of this article emphasize the necessity of global strong motion databases in Europe for better estimation of seismic hazard in regions of similar seismotectonic environment.

Subject Keywords

Turkish/European strong motion data, Strong motion data processing, Magnitude scaling relationships, Site-to-source distance metrics

URI

https://hdl.handle.net/11511/63018

Collections

Graduate School of Natural and Applied Sciences, Article