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Magnitude Estimation Based on Integrated Amplitude and Frequency Content of the Initial P Wave in Earthquake Early Warning Applied to Tehran, Iran
Univ Tehran, Inst Geophys, North Kargar St, Tehran, Iran..
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics. Univ Tehran, Inst Geophys, North Kargar St, Tehran, Iran..
Univ Naples Federico II, RISSC Lab, Dept Phys, Complesso Univ Monte S Angelo, I-80126 Naples, Italy..
AMRA Scarl, Via Nuova Agnano 11, I-80125 Naples, Italy.;Univ Naples Federico II, RISSC Lab, Dept Phys, Complesso Univ Monte S Angelo, I-80126 Naples, Italy..
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2017 (English)In: Bulletin of The Seismological Society of America (BSSA), ISSN 0037-1106, E-ISSN 1943-3573, Vol. 107, no 3, 1432-1438 p.Article in journal (Refereed) Published
Abstract [en]

To optimize magnitude estimation for the earthquake early warning system around the Tehran region, different amplitude-and frequency-based parameters, that is, predominant period (tau(max)(p)), characteristic period (tau(c)), log-average period (tau(log)), and peak displacement (P-d) were analyzed in this article. All parameters were calculated directly from seismic records, with an epicentral distance less than 150 km, and within the initial 3 s of the P waves. The analysis of earthquakes in the 2.4 < M-L< 4.9 magnitude range verified that the result of tau(max)(p) showed a consistent trend as compared with the global observations, and provided a robust estimate of magnitude for the dataset used in this research. In comparison with worldwide observations, the calculated P-d and tau(c) were underestimated, and there was no scaling relationship with the tau(log) parameter. When combined with the global observations from Japan, Taiwan, and Italy, the results of P-d and tc for the Tehran region produced optimized results.

Place, publisher, year, edition, pages
SEISMOLOGICAL SOC AMER , 2017. Vol. 107, no 3, 1432-1438 p.
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Geophysics
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URN: urn:nbn:se:uu:diva-327231DOI: 10.1785/0120160380ISI: 000402375300028OAI: oai:DiVA.org:uu-327231DiVA: diva2:1136471
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-08-28Bibliographically approved

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Shomali, Zaher Hossein

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