سال انتشار: ۱۳۹۰

محل انتشار: ششمین کنفرانس بین المللی زلزله شناسی و مهندسی زلزله

تعداد صفحات: ۶

نویسنده(ها):

a Amirnezhad Mozhdehi – Seismological Research Center, International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran
m Zare – Seismological Research Center, International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran
h Memarian – Faculty of Mining Engineering, University College of Engineering, University of Tehran, Tehran, Iran

چکیده:

Seismic records of Iran indicate the occurrence of many devastating seismic events, some of which were in densely populated areas in the vicinity of major faults. Tehran, as an example, with an estimated population of more than 10,000,000, is surrounded by many active faults. Therefore, an earthquake early warning can be a useful short term solution to reduce damages and potential casualties of a large earthquake. As of seismic instrumentation, three major seismic networks are operating in Iran, which need further development and collaboration: (1)Iran Strong Motion Network (ISMN), using over 1000 digital accelerographs, of which only 50 stations use GPS timing; (2) Iranian National Seismic Network (INSN), including 30 realtime broadband stations; and (3) the Iranian Seismic Telemetry Network, with 70 3-component seismographs (mostly short-period and occasionally broadband) with real-time connection. Due to low network density and lack of absolute timing in many stations, the available seismic records are sometimes of poor quality. Furthermore, some important seismic events are not recorded. We chose a method to make the best use of the available data. A combination of Tauc Pd and Elarms which are capable of using both single-station and multi-station data were sed to minimize the exclusion of poorly covered events. The method also has the advantage of being capable of using more accurate events. The results, not only are the theoretical base for a future warning system, but also can be used to optimize and modify the existing seismic networks