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Abstrakty
Intensity prediction equations (IPEs) are critical for quickly obtaining the macroscopic intensity of a site post-earthquake, with regional dependencies influencing their design. Historically, most IPEs in China have focused primarily on the factors of distance and magnitude. This study develops site-specific IPEs for Western China, using data from 53 seismic events since 1970, to address the previously overlooked importance of site conditions and overcome the limitations of past models. The data were categorized into three site groups, with IPEs derived through multiple nonlinear regression methods. Our findings reveal that macroscopic intensities at category III and IV sites are notably higher than those at categories I and II, with this disparity increasing alongside the magnitude. Unlike conventional IPEs, the IPEs proposed in this paper incorporate local geological and seismological characteristics, enhancing prediction accuracy across varied site conditions. This methodology distinctly contrasts with prior approaches by providing a nuanced assessment that integrates comprehensive site categorization, resulting in more precise intensity predictions. This advancement is particularly crucial for effective emergency management and disaster mitigation strategies in seismically active regions.
Wydawca
Czasopismo
Rocznik
Tom
Strony
537--548
Opis fizyczny
Bibliogr. 48 poz.
Twórcy
autor
- Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
- Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China
autor
- Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China
- Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150080, China
Bibliografia
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- 42. Xie J, Li X, Wen Z, Jia L, An Z, Cui J, Lin G, Zhang Q, Jiang P, Xie Q, Wang P, Zimmaro P, Stewart J (2022) Soil profile database and site classification for national strong-motion stations in Western China. Seismol Res Lett 93:1-13. https://doi.org/10.1785/0220210271
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51d19468-b079-4d3e-baec-2b14c89ff126
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