Construction of Disaster Damage Index based on Knowledge-based Classification of Landform and Surface Ground

基于地貌地表知识分类的灾害损失指数构建

基本信息

  • 批准号:
    18310121
  • 负责人:
  • 金额:
    $ 8.22万
  • 依托单位:
  • 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

项目摘要

The knowledge about the condition of the ground is a crucial factor that controls damage due to natural disaster. However, to collect information on the ground condition over a wide area is not an easy task. In order to solve this issue, we have looked at the fact that the condition of the ground is closely related to the landform. This research aims to establish a method of constructing a surface soil model over a wide area based on the landform.By choosing Chiba area, which is located east of Tokyo, a number of soil investigation data have been collected and organized as a database that was constructed on a GIS. Landform classification was also added to this database. Based on this database, a number of standard soil profiles that are typical to classified landform have been constructed. Dynamic characteristics such as amplification factors have then been computed from these soil profiles. Based on this result in conjunction with other existing data, an earthquake damage prediction has been performed. It was found from this study, landform has a significant influence on the prediction.Dynamic properties of the ground near the edge of diluvual terrace were also studied based on microtremor and seismic motion observations. It was found that spectral intensities and maximum accelerations are larger at the top of the slope than in the central part of terrace and at the foot of the slope. It was also found that the predominant frequency changes to higher frequencies in accordance with the distance from the top edge of the slope. Due to this strong influence of landform on the dynamic properties of the ground near the slope, 2-D or 3-D analyses may be necessary in this kind of area.
对地面状况的了解是控制自然灾害造成的损害的一个关键因素。然而,要在广阔的区域内收集有关地面情况的资料,并不是一件容易的事。为了解决这个问题,我们已经看到了这样一个事实,即地面的条件与地形密切相关。本研究以东京都东部的千叶地区为研究对象,收集了大量的土壤调查数据,并将其整理成数据库,建立了基于地理信息系统(GIS)的大面积表层土壤模型。该数据库还增加了地形分类。在此基础上,建立了一批典型的土壤剖面。动态特性,如放大系数,然后从这些土壤剖面计算。在此基础上,结合其他现有资料,进行了震害预测。研究发现,地形地貌对预测结果有很大影响,并根据地脉动和地震动观测结果,对洪积阶地边缘附近地面的动力特性进行了研究。结果表明,谱强度和最大加速度在坡顶处大于阶地中部和坡脚处。研究还发现,主导频率的变化,以更高的频率根据距离的顶部边缘的斜坡。由于地形对边坡附近地面的动力特性有很大影响,在这类地区可能需要进行二维或三维分析。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Study on Dynamic Characteristics of The Edge of Diluvial Terrace
洪积台地边缘动力特性研究
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sekiguchi;T.
  • 通讯作者:
    T.
数理的避難所配置における市民位置情報の不完全性の影響
公民位置信息不完整对数学避难所安置的影响
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sekiguchi;T.;Toru SEKIGUCHI;今宿誠己
  • 通讯作者:
    今宿誠己
余震および常時微動のフーリエ振幅比を用いた本震の応答スペクトルと計測震度の推定
利用余震和微震的傅里叶振幅比估计主震的反应谱和实测地震烈度
マルチエージェント連続タスクにおける報酬設計の実験的考察
多智能体连续任务中奖励设计的实验考虑
ネットワーク生成モデルを用いたコミュニティ抽出法の考察
基于网络生成模型的社区抽取方法的思考
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NAKAI Shoichi其他文献

NAKAI Shoichi的其他文献

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{{ truncateString('NAKAI Shoichi', 18)}}的其他基金

Microlevel earthquake disaster mitigation focused on the slopes between two landforms typical of Tokyo metropolitan area
微观地震减灾重点关注东京都市区两种典型地貌之间的斜坡
  • 批准号:
    22310107
  • 财政年份:
    2010
  • 资助金额:
    $ 8.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Knowledge-based Classification of Land Use and Landform for Disaster Risk Assessment
基于知识的土地利用和地貌分类用于灾害风险评估
  • 批准号:
    16310124
  • 财政年份:
    2004
  • 资助金额:
    $ 8.22万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)

相似海外基金

Land-use classification applicable to rural landscapes of Southeast Asia using very high spatial resolution satellite imagery
使用极高空间分辨率卫星图像进行适用于东南亚乡村景观的土地利用分类
  • 批准号:
    24658024
  • 财政年份:
    2012
  • 资助金额:
    $ 8.22万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
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