Ek¸si Sözlük is one of the most visited websites in Turkey. Registered users of the website share their knowl- edge about any topic. In this study, we collect the user entries on the topic of 20 earthquakes in Turkey and the surround- ing area. Entries with city and district level information are converted to intensity values. Shake 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 on the website. Several entries on the earthquake topics have magnitude estimations. The difference between predicted and observed intensities also varies with distance. Users are able to predict the magni- tudes of the earthquakes with ±0.54 misfit. This study shows that Ek¸si Sözlük has the potential to be a reliable source of macroseismic intensity for the earthquakes in Turkey if the felt reports are collected with a predetermined format.
Web-based macroseismic intensity study in Turkey: entries in Ek{\c{s}}i SÃzlÃk
Deniz Ertuncay;Laura Cataldi;Giovanni Costa
2020-01-01
Abstract
Ek¸si Sözlük is one of the most visited websites in Turkey. Registered users of the website share their knowl- edge about any topic. In this study, we collect the user entries on the topic of 20 earthquakes in Turkey and the surround- ing area. Entries with city and district level information are converted to intensity values. Shake 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 on the website. Several entries on the earthquake topics have magnitude estimations. The difference between predicted and observed intensities also varies with distance. Users are able to predict the magni- tudes of the earthquakes with ±0.54 misfit. This study shows that Ek¸si Sözlük has the potential to be a reliable source of macroseismic intensity for the earthquakes in Turkey if the felt reports are collected with a predetermined format.Pubblicazioni consigliate
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