Research to extract slopes with risk of landslides, using the LiDAR data measured before and after a hazard.

研究利用灾害前后测量的 LiDAR 数据提取有滑坡风险的斜坡。

基本信息

  • 批准号:
    24658146
  • 负责人:
  • 金额:
    $ 1.16万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
  • 财政年份:
    2012
  • 资助国家:
    日本
  • 起止时间:
    2012-04-01 至 2014-03-31
  • 项目状态:
    已结题

项目摘要

I compared the hillshade and contour maps, using the LiDAR data measured before and after the Iwate-Miyagi Nairiku Earthquake occurred on June 18, 2008. And, I have extracted the site where the transformation is confirmed to the slope. On these slopes, the occurrence of cracks was confirmed by the field survey. On these slopes, I did the soil exploration. As a result, it was confirmed that a weathering thick layer (N-value is less than 20) existed in these slopes and a weak layer (N-value is less than 10) existed between weathering layers. In addition, I calculated the return periods of rainfall and the soil water index on the basis of the AMeDAS data near the study area. As a result, it was confirmed that the possibility of landslide occurrence was low in the rainfall after the earthquake. Therefore, it was guessed that the possibility of landslide occurrence according to rainfall after the earthquake was relatively high in these slopes.
我使用2008年6月18日岩手宫城奈良地震前后测量的激光雷达数据,对山体阴影和等高线地图进行了比较。并且,我已经将确认变形的位置提取到斜坡上。在这些斜坡上,现场勘察证实有裂缝的出现。在这些斜坡上,我做了土壤勘探。结果表明,这些边坡存在厚风化层(N值小于20),风化层之间存在弱风化层(N值小于10)。此外,根据研究区附近的AMeDAS数据,计算了研究区降雨量的重现期和土壤水分指数。结果证实,震后降雨中发生滑坡的可能性较低。因此,推测这些斜坡根据震后降雨量发生滑坡的可能性较高。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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MURAKAMI Wataru其他文献

Gravitational deformation of the slope caused by the 2008 Iwate-Miyagi Nairiku Earthquake captured by the comparison of airborne LiDAR data at plural time
通过机载LiDAR多次数据比较捕获2008年岩手宫城内陆地震引起的边坡重力变形
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    MURAKAMI Wataru;DAIMARU Hiromu and IIJIMA Yasuo
  • 通讯作者:
    DAIMARU Hiromu and IIJIMA Yasuo

MURAKAMI Wataru的其他文献

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{{ truncateString('MURAKAMI Wataru', 18)}}的其他基金

Identification of deformed slope and prediction of risk of landslide occurrence by analysis of multiple image and LiDAR data
通过多幅图像和激光雷达数据分析识别变形边坡并预测滑坡发生风险
  • 批准号:
    15K01272
  • 财政年份:
    2015
  • 资助金额:
    $ 1.16万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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