Preprints
https://doi.org/10.5194/gc-2020-31
https://doi.org/10.5194/gc-2020-31

  16 Jul 2020

16 Jul 2020

Review status: a revised version of this preprint was accepted for the journal GC and is expected to appear here in due course.

Web-based macroseismic intensity study in Turkey: entries in Ekşi Sözlük

Deniz Ertuncay, Laura Cataldi, and Giovanni Costa Deniz Ertuncay et al.
  • University of Trieste, Department of Mathematics and Geosciences, via E.Weiss 4, 34128 Trieste, Italy

Abstract. Ekşi Sözlük is one of the most visited websites in Turkey. Registered users of the website share their knowledge about any topic on an internet forum-like environment. In this study, we collect the user entries on the topics of 20 earthquakes in Turkey and the surrounding area. Entries with city and district level information are converted to intensity values. Shape maps of the earthquakes are created by using a ground motion to intensity conversion equation. User entries and created shake maps are compared. It is found that entries correlate with the predicted intensities. It is also found that local soil conditions and building types have an amplifier effect on entries in the web site. Several entries in the earthquake topics have magnitude estimations. Difference between predicted and observed intensities also vary with distance. Users are able to predict the magnitudes of the earthquakes with ±0.54 misfit. This study shows that Ekşi Sözlük has a potential to be a reliable source of macroseismic intensity for the earthquakes in Turkey, if the felt reports have been collected with a predetermined format.

Deniz Ertuncay et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Deniz Ertuncay et al.

Data sets

GISdata Deniz Ertuncay, Laura Cataldi, Giovanni Costa https://doi.org/10.6084/m9.figshare.12424352

Model code and software

Dataset and Software Deniz Ertuncay, Laura Cataldi, Giovanni Costa https://doi.org/10.5281/zenodo.3947832

Deniz Ertuncay et al.

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Short summary
In this study, entries in an online collaborative dictionary in Turkey are analyzed. Topics of several earthquakes in Turkey and its surroundings are the focus of the study. Experience of the users during earthquakes are converted into a seismic intensity values which are compared with the models that are used for the prediction of the same metric. It is found that people's experience are correlated with the predictions up to certain distance.
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