Mechanism of large-scale landslides in residential valley fills induced by earthquake

地震诱发住宅谷填土大规模滑坡机理

• 批准号: 15310129
• 负责人: KAMAI Toshitaka
• 金额: $ 9.79万
• 依托单位: KYOTO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15310129/
• 关键词: Slope disaster; Valley fill; Urban rejoin; Disaster prediction; Mechanism; Hazard map; Landslide; Residential area

Investigation of past artificial landform changes and multi-variate analysis of case studies of past earthquake disasters show that differences in the shape of fills, such as depth, width, inclination angle of the base, and cross-sectional form, may be the key discriminating factors of slope instability. Triggering mechanisms (e.g. earthquakes) need to be considered in the analysis for accurate estimation, however, it is difficult to include earthquake parameters in such linear multi-variate analysis (quantification theory II). Neural network analysis is applied to assess large fill slope instability in urban residential areas. The developed neural network model including both causative factors (shape of fills, groundwater condition, age of construction) and the triggering factors (distance from the fault, moment magnitude, direction to fault) was independently checked against another data set and sensitivity analysis was conducted. The high hitting ratio over 90 % in the application to the earthquakes in 2003 revealed that the proposed model should be capable of wide application to conduct landslide hazard mapping in urban residential areas.Observation of strong earthquake motion and pore water pressure in valley fill shows that the response on the fill should be smaller than the acceleration on the original ground. This attenuation effect of the soft filling material was also verified by FEM analysis. Based on the inventories and observation results, the roller-slider model was proposed as the mechanism of the valley fill type landslide. The quasi-3D stability analysis based on the roller-slider model should be capable to explain the inventories of the past earthquake disaster compared with the poor result of the conventional 2D analysis. It means that both the failure at the base of the valley and constraint by the side walls should be significant mechanism of the artificial valley fill type landslide.

对过去地震灾害的案例研究的过去人造地形变化和多变量分析的研究表明，填充形状的差异，例如深度，宽度，基础的倾斜角度和横截面形式，可能是关键的区分斜率不稳定的因素。在分析中需要考虑触发机制（例如地震）以进行准确的估计，但是，很难将地震参数包括在这种线性多变量分析中（量化理论II）。神经网络分析用于评估城市居民区的较大填充斜率不稳定。开发的神经网络模型包括因果因素（填充的形状，地下水状况，建筑年龄）和触发因素（与故障的距离，力矩幅度，方向的距离，对另一个数据集进行了独立检查，并进行了灵敏度分析。 2003年对地震申请的高命中率超过90％，表明该拟议模型应能够在城市居民区中进行广泛的应用，以进行汇土危险映射。观察强烈的地震运动和山谷中的孔隙水压力表明，这表明该表明该表明填充的响应应小于原始地面上的加速度。软填料材料的这种衰减效果也通过FEM分析验证。根据库存和观察结果，提出了滚筒式模型作为山谷填充类型滑坡的机制。与传统2D分析的不良结果相比，基于滚筒模型的准3D稳定性分析应能够解释过去地震灾难的清单。这意味着山谷底部的故障和侧壁的约束都应是人造山谷填充类型滑坡的重要机制。

项目成果

Shaking table model test on deformation of valley fill (in Japanese)

谷填土变形振动台模型试验（日文）

• 发表时间: 2004
• 期刊: Jour.Landslide Soc.of Japan 40-5
• 作者: Go;Y.;Kasahara;R.;T.Kamai
• 通讯作者: T.Kamai

地盤調査の方法と解説(4.1 地表地質調査)

地面调查方法及说明（4.1 地表地质调查）

• 发表时间: 2004
• 作者: Yamaguchi;Tanaka;Odajima;T.Kamai;Tsuchida;「知っておきたい斜面のはなしQ&A」編集員会(釜井俊孝);Editorial Committee (T.Kamai);地盤調査の方法と解説編集委員会(釜井俊孝)
• 通讯作者: 地盤調査の方法と解説編集委員会(釜井俊孝)

Weng-Neng Wang, 釜井俊孝, 守隨治雄: "1999年収集地震による台湾中部都市域の斜面災害"応用地質. 44・6. 367-374 (2004)

王永能、釜井俊隆、森月晴夫：“1999年台湾中部城市地区因地震造成的斜坡灾害”，应用地质学44・6（2004）。

Landslides Q&A -living with slope-

山体滑坡Q

• 发表时间: 2005
• 作者: Yamaguchi;Tanaka;Odajima;T.Kamai;Tsuchida;「知っておきたい斜面のはなしQ&A」編集員会(釜井俊孝);Editorial Committee (T.Kamai)
• 通讯作者: Editorial Committee (T.Kamai)

Yamaguchi, Y., S.Tanaka, T.Odajima, T.Kamai, S.Tsuchida: "Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates"International Journal of Remote Sensing. 24・18. 3523-3534 (2003)

Yamaguchi, Y., S.Tanaka, T.Odajima, T.Kamai, S.Tsuchida：“在两个不同日期的 SPOT HRV 数据的图像匹配中检测滑坡运动的几何配准”，《国际遥感杂志》24。 18. 3523-3534 (2003)