Automatic generation system of subsurface structure models by micro-tremor observation

微震观测地下结构模型自动生成系统

• 批准号: 16510140
• 负责人: MAEDA Toshiro
• 金额: $ 1.73万
• 依托单位: Waseda University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-16510140/
• 关键词: Subsurface structure; Micro-tremor observation; Surface waves; Dispersion curves; H; V spectra; Rayleigh wave

In order to prevent or mitigate future earthquake disasters, precise subsurface structure models are most effective to improve earthquake risk analysis and earthquake ground motion estimates. Micro-tremor observation, which is handy and inexpensive, can be used to construct subsurface structure models ; however, micro-tremor is composed of various waves and should be supplemented by other information to construct a proper subsurface model. In this study, systematic search algorithm for an optimal subsurface model is sought, which utilizes an inverse analysis for H/V spectra and dispersion curves obtained by micro-tremor array observation.First, we were equipped with seven portable seismographs to carry out array observation with FK analysis at Higashi-shinagawa in Tokyo and Kohoku in Yokohama, and also at Ojiya and Tokamachi where strong ground motion was observed during Niigataken Chuetsu earthquake. Parallel to these observations, we have developed inverse algorithm for multiple targets with the Neighbourhood algorithm, as well as a computer program for calculating surface wave velocities fast and stable with generalized TR matrix method up to higher Rayleigh wave normal modes.We have,done joint inversion at those four sites and have shown the effectiveness of incorporating information of deeper layer interfaces retained in H/V spectra to that of precise shallower layering reflected in dispersion curves to improve subsurface models up to the depth of several tens of meters with urbanely realistic array radius of less than 100 meters.

为了预防或减轻未来的地震灾害，精确的地下结构模型是最有效的，以改善地震风险分析和地震地面运动估计。地脉动观测具有简便、价廉等优点，可用于构造地下结构模型，但地脉动是由多种波组成的，要构造出合适的地下结构模型，还需要其它信息的补充。本研究利用脉动台阵观测得到的H/V谱和频散曲线进行反演分析，寻求最佳地下模型的系统搜索算法。首先，我们配备了7台便携式地震仪，在东京东品川和横滨东北进行了FK分析台阵观测，在新潟县中越地震中观测到强烈地面运动的Ojiya和Tokamachi。在此基础上，我们发展了多目标的邻域法反演算法，以及用广义TR矩阵法快速、稳定地计算高阶瑞利波面波速度的计算机程序。在这四个站点进行了联合反演，并显示了将H/V光谱与频散曲线中反映的精确浅层光谱相比较，可以改进地下模型，深度可达数十米，阵列半径小于100米。

项目成果

Micro-tremor observation around K-NET Tokamachi station

K-NET十日町站周边的微震观测

• 发表时间: 2005
• 期刊: Proceedings of the 4^<th> Annual Meeting of Japan Association for Earthquake Engineering
• 作者: Tanabe;H.;Amano;M.;Chiba;M.;Y.B.Yun;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;M.Shirakawa;H.Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Masakazu Shirakawa;Y.B.Yun;Hirotaka Nakayama;H.Nakayama;H.Nakayama;Y.Yun;K.Yoshida;Hirotaka Nakayama;Hirotaka Nakayama;Y.Yun;K.Yoshida;吉田賢史;H.Nakayama;H.Nakayama;井上幸一;T.Asada;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;K.Inoue;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Takeshi Asada;Y.B.Yun;前田寿朗;Eisuke Nagashima;長島英介;Toshiro Maeda;前田寿朗;Hiroshi Hibino;前田寿朗;Eisuke Nagashima;Toshiro Maeda;Toshiro Maeda;Toshiro Maeda
• 通讯作者: Toshiro Maeda

Inversion analysis on surface wave dispersion curves and H/V spectra by Neighbourhood Algorithm

邻域算法反演面波频散曲线和H/V谱

• 发表时间: 2005
• 期刊: 6th World Congresses of Structural and Multidisciplinary Optimization
• 作者: Tanabe;H.;Amano;M.;Chiba;M.;Y.B.Yun;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;M.Shirakawa;H.Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Masakazu Shirakawa;Y.B.Yun;Hirotaka Nakayama;H.Nakayama;H.Nakayama;Y.Yun;K.Yoshida;Hirotaka Nakayama;Hirotaka Nakayama;Y.Yun;K.Yoshida;吉田賢史;H.Nakayama;H.Nakayama;井上幸一;T.Asada;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;K.Inoue;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Takeshi Asada;Y.B.Yun;前田寿朗;Eisuke Nagashima
• 通讯作者: Eisuke Nagashima

Neighbourhoodアルゴリズムによる分散曲線とH/Vスペクトルの同時逆解析

使用 Neighborhood 算法同时逆分析色散曲线和 H/V 谱

• 发表时间: 2005
• 期刊: 日本建築学会大会学術講演梗概集 B-2
• 作者: Tanabe;H.;Amano;M.;Chiba;M.;Y.B.Yun;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;M.Shirakawa;H.Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Masakazu Shirakawa;Y.B.Yun;Hirotaka Nakayama;H.Nakayama;H.Nakayama;Y.Yun;K.Yoshida;Hirotaka Nakayama;Hirotaka Nakayama;Y.Yun;K.Yoshida;吉田賢史;H.Nakayama;H.Nakayama;井上幸一;T.Asada;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;K.Inoue;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Takeshi Asada;Y.B.Yun;前田寿朗;Eisuke Nagashima;長島英介
• 通讯作者: 長島英介

Simultaneous inversion on dispersion curves and H/V spectra by the Neighbourhood Algorithm

邻域算法同时反演色散曲线和H/V谱

• 发表时间: 2005
• 期刊: Summaries of Technical Papers of Annual Meeting, Architectural Institute of JAPAN B-2
• 作者: Tanabe;H.;Amano;M.;Chiba;M.;Y.B.Yun;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;M.Shirakawa;H.Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Masakazu Shirakawa;Y.B.Yun;Hirotaka Nakayama;H.Nakayama;H.Nakayama;Y.Yun;K.Yoshida;Hirotaka Nakayama;Hirotaka Nakayama;Y.Yun;K.Yoshida;吉田賢史;H.Nakayama;H.Nakayama;井上幸一;T.Asada;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;K.Inoue;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Takeshi Asada;Y.B.Yun;前田寿朗;Eisuke Nagashima;長島英介;Toshiro Maeda;前田寿朗;Hiroshi Hibino;前田寿朗;Eisuke Nagashima
• 通讯作者: Eisuke Nagashima

K-NET小千谷周辺での微動アレー観測

K-NET 小千谷周边的微动阵列观测

• 发表时间: 2006
• 期刊: 第24回日本自然災害学会学術講演梗概集
• 作者: Tanabe;H.;Amano;M.;Chiba;M.;Y.B.Yun;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;M.Shirakawa;H.Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Masakazu Shirakawa;Y.B.Yun;Hirotaka Nakayama;H.Nakayama;H.Nakayama;Y.Yun;K.Yoshida;Hirotaka Nakayama;Hirotaka Nakayama;Y.Yun;K.Yoshida;吉田賢史;H.Nakayama;H.Nakayama;井上幸一;T.Asada;H.Nakayama;H.Nakayama;H.Nakayama;H.Nakayama;K.Inoue;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Hirotaka Nakayama;Takeshi Asada;Y.B.Yun;前田寿朗
• 通讯作者: 前田寿朗