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Site classification and probabilistic estimation of Vs30 for the Iranian strong-motion network
Physics of the Earth and Planetary Interiors ( IF 2.4 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.pepi.2020.106583
M.R. Najaftomarei , H. Rahimi , G. Tanircan , A. Babaie Mahani , M. Shahvar

Abstract Through a probabilistic approach, this study provides estimates of the time-averaged shear-wave velocity in the top 30 m of soil column (Vs30) for the stations of Iranian strong-motion network. For this purpose, we consider the strong-motion dataset of the Road, Housing and Urban Development Research Center for the period 1975–2018 from which 3828 three-component records from 1636 events with moment magnitude of >3, recorded at 892 stations (hypocentral distances of Wald and Allen (2007) , which results in a larger error with a mean, standard deviation, and percentage error of −0.41, 0.39, and 77%, respectively.

中文翻译:

伊朗强运动网络Vs30的站点分类和概率估计

摘要 通过概率方法,本研究为伊朗强震台网的台站提供了土柱顶部 30 m (Vs30) 时均横波速度的估计。为此,我们考虑了道路、住房和城市发展研究中心 1975-2018 年期间的强运动数据集,其中来自 1636 个矩震级 >3 的事件的 3828 个三分量记录,记录在 892 个站点(震中Wald 和 Allen (2007) 的距离,这导致更大的误差,均值、标准差和百分比误差分别为 -0.41、0.39 和 77%。
更新日期:2020-11-01
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