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Development of an Integrated Early Warning and Structural Monitoring System to Real Time Earthquake Information

开发实时地震信息的综合预警和结构监测系统

基本信息

批准号：
18310110
负责人：
MOTOSAKA Masato
金额：
$ 9.56万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18310110/
关键词：
Earthquake early warning system Structural health monitoring Ground motion prediction Artificial neural network Hospital School Animation of earthquake disaster simulation Questionnaire investigation 警報システム避難訓練システム教育システム宮城県沖地震地

项目摘要

In this study, the development of the integrated earthquake early warning system and structural monitoring system has been performed to enhance its added value as well as reliability and utility. The investigated research items are; 1) Development of warning system by combining structural health monitoring and real time earthquake information, 2) Enhancement of accuracy of ground motion prediction considering local soil condition, 3) Effective utilization of EEWS in hospitals based on demonstration test, 4) Effective utilization of EEWS in schools based on demonstration test.Regarding the item 1), the online earthquake observation system was developed and installed at Oshika Branch Office (OBO) building located near the Pacific Ocean coast and a building of Civil Engineering and Building Science of Tohoku University in Sendai. The integrated earthquake early warning system has been demonstratively tested. Regarding the item 2), a prediction method based on the Artificial Neural Network (ANN) has been proposed to estimate more accurate ground motion prediction using the incoming waveform of the first portion of P-wave from OBO and also local soil conditions. The applicability of the proposed prediction method has been verified for the Miyagi-ken Oki earthquakes. Regarding the item 3), a questionnaire investigation was performed at Tohoku University Hospital to clarify the needs of RTEI and effective utilization system has been proposed. To perform demonstration test, a receiver of Real-Time Earthquake Information was installed at the hospital together with display and warning lamps in this study. Regarding the item 4), a animation of earthquake disaster simulation was made for the education mode of the prototype model and its utilization has been investigated. A questionnaire investigation was performed for total number of 649 schools in Miyagi prefecture and metropolitan area to grasp the needs from education site and to promote the utilization of EEWS in schools.

为了提高地震预警系统和结构监测系统的附加值以及可靠性和实用性，本研究进行了地震预警系统和结构监测系统的集成开发。研究项目包括：1)结合结构健康监测和实时地震信息开发地震预警系统；2)提高考虑当地土壤条件的地面运动预报的准确性；3)基于示范试验有效地利用医院中的电子预警系统；4)基于示范试验有效地利用学校中的电子预警系统。关于项目1)，在线地震观测系统是在位于太平洋沿岸的东北大学附属办公室(OBO)大楼和仙台东北大学土木工程与建筑科学大楼开发并安装的。综合地震预警系统已经进行了示范检验。对于第二项，提出了一种基于人工神经网络(ANN)的预测方法，以利用OBO的第一部分P波的输入波形和当地的土壤条件来估计更准确的地面运动预测。对宫城-冲绳地震的预测结果表明，该方法具有较好的适用性。针对项目3)，在东北大学医院进行了问卷调查，明确了RTEI的需求，并提出了有效的利用体系。为了进行演示测试，本研究在医院安装了实时地震信息接收器以及显示器和警示灯。针对第(4)项，对原型模型的教学模式制作了地震灾害模拟动画，并对其应用进行了探讨。为掌握学校对电子书的需求，促进电子书在学校中的应用，对宫城县和都市圈的649所学校进行了问卷调查。