Deceleration captured by InSAR after local stabilization works in a slow-moving landslide: the case of Arcos de la Frontera (SW Spain)

IF 5.8 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL Landslides Pub Date : 2024-06-28 DOI:10.1007/s10346-024-02292-y
Guadalupe Bru, Pablo Ezquerro, Jose M. Azañón, Rosa M. Mateos, Meaza Tsige, Marta Béjar-Pizarro, Carolina Guardiola-Albert
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Abstract

Interferometric synthetic aperture radar (InSAR) is a remote sensing tool used for monitoring urban areas affected by geological hazards. Here we analysed the effectiveness of stabilization works on a slow-moving landslide in Arcos de La Frontera (Cádiz, Spain) using a persistent scatterer interferometric approach. The works consisted on jet grouting of cement-based injections and were applied locally to stabilize the most damaged neighbourhood. We processed a large stack of Sentinel-1 SAR satellite acquisitions covering the period January, 2016, to March, 2023, and obtained surface velocity and displacement trends measured along the line of sight (LOS) of the satellite on both ascending and descending orbits. The results show a clear deceleration of the landslide head after mid-2018, suggesting the local stabilization works were effective after that time. Prior to mid-2018, the maximum LOS velocity of the landslide head was 2.2 cm/year in ascending orbit and 1.3 cm/year in the descending orbit, decreasing to 0.43 cm/year and 0.23 cm/year, respectively. The InSAR results were compared to in-situ monitoring data and revealed that the extent of the stabilization has influenced a much larger area beyond the zone of the local interventions. Overall, InSAR has proved a powerful and versatile tool to be implemented in operational geotechnical monitoring.

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InSAR 在缓慢移动的山体滑坡进行局部稳定工程后捕捉到的减速现象:Arcos de la Frontera(西班牙西南部)案例
干涉合成孔径雷达(InSAR)是一种用于监测受地质灾害影响的城市地区的遥感工具。在这里,我们使用持续散射体干涉测量方法分析了在 Arcos de La Frontera(西班牙加的斯)对缓慢移动的山体滑坡进行稳定工程的效果。工程包括水泥基喷射灌浆,在局部进行,以稳定受损最严重的区域。我们对 Sentinel-1 SAR 卫星采集的大量数据进行了处理,时间跨度为 2016 年 1 月至 2023 年 3 月,并获得了在上升和下降轨道上沿卫星视线(LOS)测量的地表速度和位移趋势。结果显示,2018 年年中之后,滑坡体头部明显减速,这表明当地的稳定工程在那之后取得了成效。2018 年年中之前,滑坡体头部的最大 LOS 速度在上升轨道上为 2.2 厘米/年,在下降轨道上为 1.3 厘米/年,之后分别降至 0.43 厘米/年和 0.23 厘米/年。将 InSAR 的结果与现场监测数据进行比较后发现,稳定的程度影响到了当地干预区以外的更大范围。总之,InSAR 已被证明是一种可用于岩土工程监测的功能强大、用途广泛的工具。
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来源期刊
Landslides
Landslides 地学-地球科学综合
CiteScore
13.60
自引率
14.90%
发文量
191
审稿时长
>12 weeks
期刊介绍: Landslides are gravitational mass movements of rock, debris or earth. They may occur in conjunction with other major natural disasters such as floods, earthquakes and volcanic eruptions. Expanding urbanization and changing land-use practices have increased the incidence of landslide disasters. Landslides as catastrophic events include human injury, loss of life and economic devastation and are studied as part of the fields of earth, water and engineering sciences. The aim of the journal Landslides is to be the common platform for the publication of integrated research on landslide processes, hazards, risk analysis, mitigation, and the protection of our cultural heritage and the environment. The journal publishes research papers, news of recent landslide events and information on the activities of the International Consortium on Landslides. - Landslide dynamics, mechanisms and processes - Landslide risk evaluation: hazard assessment, hazard mapping, and vulnerability assessment - Geological, Geotechnical, Hydrological and Geophysical modeling - Effects of meteorological, hydrological and global climatic change factors - Monitoring including remote sensing and other non-invasive systems - New technology, expert and intelligent systems - Application of GIS techniques - Rock slides, rock falls, debris flows, earth flows, and lateral spreads - Large-scale landslides, lahars and pyroclastic flows in volcanic zones - Marine and reservoir related landslides - Landslide related tsunamis and seiches - Landslide disasters in urban areas and along critical infrastructure - Landslides and natural resources - Land development and land-use practices - Landslide remedial measures / prevention works - Temporal and spatial prediction of landslides - Early warning and evacuation - Global landslide database
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