Rapid Estimation of the Epicentral Distance in the Earthquake Early Warning System around the Tehran Region, Iran
2019 (English)In: Seismological Research Letters, ISSN 0895-0695, E-ISSN 1938-2057, Vol. 90, no 5, p. 1916-1922Article in journal (Refereed) Published
Abstract [en]
The estimation of epicentral distance is a critical step in earthquake early warning systems (EEWSs) that is necessary to characterize the level of expected ground shaking. In this study, two rapid methodologies, that is, B-Delta and C-Delta , are evaluated to estimate the epicentral distance for use in the EEWSs around the Tehran region. Traditionally, the B and C coefficients are computed using acceleration records, however, in this study, we utilize both acceleration and velocity waveforms for obtaining a suitable B-Delta and C-Delta relationships for the Tehran region. In comparison with observations from Japan, our measurements fall within the range of scatter. However, our results show a lower trend, which can strongly depend on the few numbers of events and range of magnitude (small-to-moderate) of earthquakes used in the current research. To improve our result, we include some large earthquakes from Iran, Italy, and Japan with magnitude larger than 5.9. Although the optimal trend is finally obtained by fitting a line to the distance-averaged points, we conclude that the same trend and relationship as Japan can be used in Tehran early warning system. We also found that B and C parameters are strongly compatible to each other. As time windows of 3.0 and 0.5 s after the P onset are chosen respectively to compute the B and C values, so by selecting the C parameter as a proxy of B parameter to estimate the epicentral distance, we may save significant time in order of about 2.5 s in any earthquake early warning applications.
Place, publisher, year, edition, pages
SEISMOLOGICAL SOC AMER , 2019. Vol. 90, no 5, p. 1916-1922
National Category
Geophysics
Identifiers
URN: urn:nbn:se:uu:diva-394696DOI: 10.1785/0220180375ISI: 000484569600021OAI: oai:DiVA.org:uu-394696DiVA, id: diva2:1362762
2019-10-212019-10-212019-10-21Bibliographically approved