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The MHVSR technique as a rapid, cost-effective, and noninvasive method for landslide investigation: case studies of Sand Gap and Ozark, AR, USA
Landslides ( IF 5.8 ) Pub Date : 2021-05-01 , DOI: 10.1007/s10346-021-01677-7
Salman Rahimi , Clinton M Wood , Michelle Bernhardt-Barry

Landslides with a shallow and complex bedrock layer, where bedrock topography affects the stability of the slide, are a widespread phenomenon. The current methods for evaluating such landslides include conventional in situ methods and array-based geophysical methods. However, these methods are not capable of characterizing the complete spatial extent of the bedrock layer cost-effectively and are difficult to conduct for steep slopes. Therefore, in this study, microtremor horizontal to vertical spectral ratio (MHVSR) is proposed as an effective tool when used in conjunction with other methods to improve our understanding of the landslide. In this study, the method is used to make a tight grid of MHVSR measurements within the landslide. Using this method, a 3D image of bedrock topography can be created over a larger spatial extent to reveal the potential critical landslide zones. This method is employed for two active landslides that have recently experienced considerable movements. Using the MHVSR, several bowl-shaped features were detected in the bedrock layer, which were not detected using conventional invasive in situ methods. These features play a key role in landslide behavior as they can trap water and create a fully saturated soft zone within the critical slide. Missing such key features in the geologic model of the landslide can lead to errors in the slope stability models and cost overruns in rehabilitation efforts. The grid pattern MHVSR method used in this study offers a simple, rapid, and cost-effective tool for landslide site characterization for sites with shallow and complex bedrock topography.



中文翻译:

MHVSR技术是一种快速,经济高效且非侵入式的滑坡调查方法:Sand Gap和Ozark的案例研究,美国AR

具有浅而复杂的基岩层的滑坡是一种普遍现象,基岩地形影响滑坡的稳定性。目前用于评估此类滑坡的方法包括常规的原位方法和基于阵列的地球物理方法。然而,这些方法不能经济有效地表征基岩层的整个空间范围,并且难以在陡峭的斜坡上进行。因此,在这项研究中,建议将微震水平与垂直光谱之比(MHVSR)与其他方法结合使用,以提高我们对滑坡的认识。在这项研究中,该方法用于在滑坡内建立MHVSR测量的紧密网格。使用这种方法 可以在更大的空间范围内创建基岩地形的3D图像,以揭示潜在的关键滑坡带。该方法用于两个活动滑坡,这些滑坡最近经历了相当大的运动。使用MHVSR,在基岩层中检测到了几个碗状特征,而使用常规侵入式原位方法则无法检测到。这些特征在滑坡行为中起着关键作用,因为它们会积水并在关键滑坡中形成完全饱和的软区。滑坡地质模型中缺少这些关键特征会导致边坡稳定性模型中的错误以及修复工作中的成本超支。本研究中使用的网格模式MHVSR方法提供了一种简单,快速,

更新日期:2021-05-02
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