Estimation of site effects using strong ground motion network data

使用强地面运动网络数据估计场地效应

基本信息

批准号：
09680445
负责人：
IWATA Tomotaka
金额：
$ 1.15万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1998
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09680445/
关键词：
K-NET site effects strong motion data SP convert wave Q-value geometrical attention Green's function 強震観測網 KNET 余震観測 1995兵庫県南部地震地盤条件逆問題地下構造

项目摘要

First, I constructed strong motion data base in Kansai area. Data were provided by Kyoshin-net, CEORKA, and temporal strong motion observation group for Kobe. Also, I collected geological and geophysical underground structure information of the sites. Using these data base, we tried to separate site and source factors and Q-values by the inversion method (Iwata and Irikura, 1988). Obtained Q-values coincide with those by the previous studies. For estimating Q-values, we can obtain the stable Q-values with using data set of only rock and hard-soil sites. Q-values from vertical component of S-waves are consistent with those from horizontal S-wave component and this shows that vertical component of S-waves travel as S-waves in the crust. Site factors of vertical component of S-waves are similar to those of vertical component of P-wave part and this concludes that the vertical component of S-waves is mainly composed by P-waves.Secondly, we estimated site factors in and around large earthquake disaster area in Kobe during the 1995 Hyogoken Nanbu earthquake. Even in the large disaster area, site factors are different among the sites and this shows only superficial layer amplification effects can not explain the large disaster in Kobe.Using K-net data, we also obtained source rupture processes of the 1997 Kagoshimaken-Hokuseibu earthquakes using a small shock data as a empirical Green's function.

首先，我在Kansai地区构建了强大的运动数据库。数据由Kyoshin-NET，CEORKA和KOBE的时间强运动组提供。另外，我收集了这些地点的地质和地球物理地下结构信息。使用这些数据库，我们尝试通过反转方法将站点和源因素和Q值分开（Iwata和Irikura，1988）。获得的Q值与以前的研究相吻合。为了估计Q值，我们可以使用仅使用岩石和硬土位的数据集获得稳定的Q值。 S波的垂直分量的Q值与水平S波分量的Q值一致，这表明S波的垂直成分作为地壳中的S波传播。 S波的垂直成分的位点因子与P波一部分垂直成分的垂直成分相似，这得出结论，S波的垂直成分主要由P波构成。第二，我们估计了1995年在1995年，位于科比大地震灾区中及其周围的现场因素。即使在大灾区中，站点之间的现场因素也有所不同，这仅显示浅层放大效应无法解释神户中的巨大灾难。使用K-NET数据，我们还使用小型震惊数据作为经验性的绿色功能获得了1997年Kagoshimaken-Hokuseibu地震的1997 KagoShimaken-Hokuseibu地震。