Cascading Landslide: Kinematic and Finite Element Method Analysis through Remote Sensing Techniques

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Pub Date : 2024-09-14 DOI:10.3390/rs16183423
Claudia Zito, Massimo Mangifesta, Mirko Francioni, Luigi Guerriero, Diego Di Martire, Domenico Calcaterra, Nicola Sciarra
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Abstract

Cascading landslides are specific multi-hazard events in which a primary movement triggers successive landslide processes. Areas with dynamic and quickly changing environments are more prone to this type of phenomena. Both the kind and the evolution velocity of a landslide depends on the materials involved. Indeed, rockfalls are generated when rocks fall from a very steep slope, while debris flow and/or mudslides are generated by fine materials like silt and clay after strong water imbibition. These events can amplify the damage caused by the initial trigger and propagate instability along a slope, often resulting in significant environmental and societal impacts. The Morino-Rendinara cascading landslide, situated in the Ernici Mountains along the border of the Abruzzo and Lazio regions (Italy), serves as a notable example of the complexities and devastating consequences associated with such events. In March 2021, a substantial debris flow event obstructed the Liri River, marking the latest step in a series of landslide events. Conventional techniques such as geomorphological observations and geological surveys may not provide exhaustive information to explain the landslide phenomena in progress. For this reason, UAV image acquisition, InSAR interferometry, and pixel offset analysis can be used to improve the knowledge of the mechanism and kinematics of landslide events. In this work, the interferometric data ranged from 3 January 2020 to 24 March 2023, while the pixel offset data covered the period from 2016 to 2022. The choice of such an extensive data window provided comprehensive insight into the investigated events, including the possibility of identifying other unrecorded events and aiding in the development of more effective mitigation strategies. Furthermore, to supplement the analysis, a specific finite element method for slope stability analysis was used to reconstruct the deep geometry of the system, emphasizing the effect of groundwater-level flow on slope stability. All of the findings indicate that major landslide activities were concentrated during the heavy rainfall season, with movements ranging from several centimeters per year. These results were consistent with numerical analyses, which showed that the potential slip surface became significantly more unstable when the water table was elevated.
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级联滑坡:通过遥感技术进行运动学和有限元法分析
级联山体滑坡是一种特殊的多灾害事件,在这种事件中,一个主要运动引发了连续的山体滑坡过程。环境动态变化快的地区更容易发生这类现象。山体滑坡的种类和演变速度取决于所涉及的材料。事实上,当岩石从非常陡峭的斜坡上滑落时,就会产生岩崩,而泥石流和/或泥石流则是由淤泥和粘土等细小物质在强水浸泡后产生的。这些事件会扩大最初触发事件所造成的破坏,并沿斜坡传播不稳定性,通常会对环境和社会造成重大影响。莫里诺-伦迪纳拉(Morino-Rendinara)级联滑坡位于意大利阿布鲁佐大区和拉齐奥大区交界处的埃尔尼西山脉,是此类事件复杂性和破坏性后果的一个显著实例。2021 年 3 月,大量泥石流阻塞了里里河,标志着一系列山体滑坡事件中最新的一步。地貌观测和地质勘测等传统技术可能无法提供详尽的信息来解释正在发生的滑坡现象。因此,可以利用无人机图像采集、InSAR 干涉测量和像素偏移分析来提高对滑坡事件的机理和运动学的认识。在这项研究中,干涉测量数据的时间跨度为 2020 年 1 月 3 日至 2023 年 3 月 24 日,而像素偏移数据的时间跨度为 2016 年至 2022 年。选择如此广泛的数据窗口有助于全面了解所调查的事件,包括发现其他未记录事件的可能性,并有助于制定更有效的缓解策略。此外,为了对分析进行补充,还使用了一种用于边坡稳定性分析的特定有限元方法来重建系统的深层几何结构,强调地下水位流动对边坡稳定性的影响。所有研究结果都表明,主要的滑坡活动集中在暴雨季节,每年的移动量在几厘米之间。这些结果与数值分析结果一致,数值分析结果表明,当地下水位升高时,潜在的滑动面明显变得更加不稳定。
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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