UAV-mounted Ground Penetrating Radar: an example for the stability analysis of a mountain rock debris slope

IF 2.3 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Journal of Mountain Science Pub Date : 2023-10-01 DOI:10.1007/s11629-023-8162-y
Riccardo Salvini, Luisa Beltramone, Vivien De Lucia, Andrea Ermini, Claudio Vanneschi, Caterina Zei, Daniele Silvestri, Andrea Rindinella
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Abstract

Abstract This paper describes scientific research conducted to highlight the potential of an integrated GPR-UAV system in engineering-geological applications. The analysis focused on the stability of a natural scree slope in the Germanasca Valley, in the western Italian Alps. As a consequence of its steep shape and the related geological hazard, the study used different remote sensed methodologies such as UAV photogrammetry and geophysics survey by a GPR-drone integrated system. Furthermore, conventional in-situ surveys led to the collection of geological and geomorphological data. The use of the UAV-mounted GPR allowed us to investigate the bedrock depth under the detrital slope deposit, using a non-invasive technique able to conduct surveys on inaccessible areas prone to hazardous conditions for operators. The collected evidence and the results of the analysis highlighted the stability of the slope with Factors of Safety, verified in static conditions (i.e., natural static condition and static condition with snow cover), slightly above the stability limit value of 1. On the contrary, the dynamic loading conditions (i.e., seismic action applied) showed a Factor of Safety below the stability limit value. The UAV-mounted GPR represented an essential contribution to the surveys allowing the definition of the interface debris deposit-bedrock, which are useful to design the slope model and to evaluate the scree slope stability in different conditions.
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无人机探地雷达:山体岩屑边坡稳定性分析实例
摘要本文介绍了为突出GPR-UAV集成系统在工程地质应用中的潜力而进行的科学研究。分析的重点是意大利西部阿尔卑斯山脉Germanasca山谷的天然碎石斜坡的稳定性。由于其陡峭的形状和相关的地质灾害,研究使用了不同的遥感方法,如无人机摄影测量和gpr -无人机综合系统的地球物理测量。此外,传统的原位调查导致了地质和地貌数据的收集。使用安装在无人机上的GPR,我们可以调查碎屑斜坡沉积物下的基岩深度,使用一种非侵入性技术,能够在操作员容易遇到危险的难以进入的区域进行调查。收集到的证据和分析结果突出了在静态条件下(即自然静态条件和积雪静态条件)验证的安全系数边坡的稳定性,略高于稳定性极限值1。相反,动力荷载条件下(即地震作用下)的安全系数低于稳定极限值。无人机探地雷达为确定碎屑沉积-基岩界面的测量做出了重要贡献,有助于设计边坡模型和评估不同条件下的碎石边坡稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mountain Science
Journal of Mountain Science 环境科学-环境科学
CiteScore
4.20
自引率
8.00%
发文量
182
审稿时长
4.3 months
期刊介绍: The Journal of Mountain Science (JMS) is devoted to mountains and their surrounding lowlands - ecoregions of particular global importance, with a particular emphasis on the important highlands/ mountains in the world, such as the Tibetan Plateau, the Himalayas, the Alps, the Andes, the Rockies and many other mountain ranges of our planet. JMS mainly publishes academic and technical papers concerning environmental changes and sustainable development in mountain areas under natural conditions or / and with the influence of human activities. It also accepts book reviews and reports on mountain research and introductions to mountain research organizations. This journal pays particular attention to the relationships between mountain environment changes and human activities, including the processes, characteristics and restoration of mountain ecosystem degradation; dynamic processes, and the theory and methods of controlling mountain hazards, such as debris, landslides and soil erosion; the protection and development of special mountain resources; culture diversity and local economic development in mountain regions; and ethnic issues and social welfare in mountain areas. Academic papers should display universal, strategic and innovative characteristics in both theory and practice. Technical papers should report on development programmes, project planning and community actions. We especially welcome papers which emphasize the application of new technologies, such as GIS and remote sensing, in mountain research and development, and the papers on new concepts and new methods deriving from disciplinary, interdisciplinary and transdisciplinary research in mountains.
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