利用面波法结合斜坡稳定性分析进行滑坡灾害脆弱性评估:案例研究

TASSAR PANA, JUMRIK TAIPODIA, PHURBA DORJEE PHILLEY, ADITYA KUMAR ANSHU
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引用次数: 0

摘要

山体滑坡等自然灾害可能造成毁灭性后果。研究山体滑坡的原因及其脆弱性评估将有助于实施适当的缓解方法,从而保护生命和财产安全。山体滑坡是一种复杂的现象,主要取决于斜坡倾斜的几何形状和土壤特性。土壤特性主要由地下土层的剪切模量决定,而剪切模量通常由观测到的剪切波速度(Vs)近似得出。本文的重点是评估一个地点的脆弱性状况,特别是通过应用多通道面波分析(MASW)方法。不稳定斜坡的识别将有助于提高滑坡危险的安全性;因此,有必要创建本研究中设想的快速、经济的安全评估方法。该研究显示了 VH(平均剪切波速度)与斜坡坡度(ϴ°)之间的图形关系,以检测潜在的不稳定斜坡。通过输入斜坡倾斜度和 VH 值得出的拟议曲线将有助于识别斜坡并将其划分为高、低和中等风险区域。根据从印度阿鲁纳恰尔邦伊塔纳加尔首府建筑群不同地区的八个站点收集的数据,对这一图形关系进行了实际验证。结果发现,所建立的关系显示出良好的预测性能。因此,可以通过监测剪切波速度和斜坡坡度,使用该脆弱性评估曲线来评估滑坡危险的脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Landslide hazard vulnerability assessment using surface wave method coupled with slope stability analysis: a case study

Landslide hazard vulnerability assessment using surface wave method coupled with slope stability analysis: a case study

Natural hazards like landslides can have devastating consequences. The study of landslide causes and their vulnerability assessment will assist in implementing appropriate mitigation approaches so as to protect lives and property. Landslides are complex phenomena that primarily depend on the geometry of the slope inclination and the soil properties. Soil characteristics are mostly determined by the shear modulus of the subsurface layers, which is often approximated from the observed shear wave velocity (Vs). This paper is focused on assessing the vulnerability status of a site, especially through applications of the multichannel analysis of surface waves (MASW) approach. Improvements in Landslide hazard safety will be aided by the identification of unstable slopes; hence it is necessary to create the quick and affordable method for safety evaluation that is envisioned in this study. The study displays a graphical relationship between VH (average shear wave velocity) and Slope gradient (ϴ°) in order to detect the potentially unstable slopes. The proposed curve presented by inputting the Slope inclination and VH will be helpful in identifying and categorizing the slope into high, low and medium risk zones. This graphical relationship was practically validated based on the data gathered from eight stations spread throughout the various areas of Itanagar capital complex, Arunachal Pradesh, India. It was found that the relationship developed showed good prediction performance. The vulnerability of a landslide hazard can therefore be assessed using that vulnerability assessment curve by keeping an eye on monitoring the shear wave velocity and slope gradients.

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