An improvement on the use of empirical green functions for ground motion synthesis to predict Tehrans main earthquake

Scientific Research and Essays

A. Golara¹ 

关键词:  ;    Earthquake;    empirical green functions;    ground motion synthesis;    spectra;    Tehran earthquake.;   

DOI  :  10.5897/SRE12.407

学科分类：社会科学、人文和艺术（综合）

来源: Academic Journals

【 摘 要 】

This research presents potential use ofthe empirical green function (EGF) approach and kinematic rupture modelsas a predicting tool in strong ground motion seismology. The former applications of EGFwereemployed on very small earthquakes, so the results were not reliable for almost all earthquakes recorded in the crowdedmetropolitanareas, due to improper signal to noise ratio. The method used in this study for prediction of strong ground motion provides an accurate and defendable means to characterize site and path affects, and thus limits uncertainties from predicted hazardsto unresolved issues about the earthquake source such as the geological constraints of a particular fault. This approach, with the identified probable causative fault, was demonstrated for the 2004 Firoozabad-Kojoor earthquake, a major earthquake located close to Tehran. Then the potential of this approach as a prediction tool in strong ground motion seismology was examined. The results showed that the actual ground motion recordings fell within the range of synthesized ground motions. Furthermore, reasonable strong ground motion “predictions” were achievable even without having an extensive knowledge of the fault characteristics.Finally, the proposed method was appliedto predict the pseudo acceleration spectra and design spectra for the city of Tehran.

【 授权许可】

CC BY