Analysis of InSAR displacements for the slopes around Odelouca reservoir

Roque, Dora; Perissin, Daniele; Falcão, Ana Paula; Amado, Conceição; Lemos, José V.; Fonseca, Ana Maria

doi:10.1016/j.procs.2018.10.048

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…In such mountainous terrain, remote sensing techniques offer certain advantages such as high resolution and broad spatial coverage of inaccessible area over other ground-based methods (e.g., boreholes, slope inclinometers, and penetrometric tests), which provide limited information at discrete points and are expensive, timeconsuming, laborious, and destructive in nature. Therefore, these technologies [Interferometric Synthetic Aperture Radar (InSAR), Light Detection and Ranging (LiDAR), and uncrewed aerial vehicle (UAV) photogrammetry] have been applied to a variety of geohazard related problems, including landslides and natural slopes (Marsella et al, 2015;Petschko et al, 2016;Fan et al, 2017;Fey and Wichmann, 2017;Roque et al, 2018). Recently, the use of UAVs as a low-cost alternative to assess slope conditions has seen much interest worldwide (Tahar, 2012;Huang et al, 2017;Ghorbanzadeh et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Characterization of an Unstable Slope Using Geophysical, UAV, and Geological Techniques: Karakoram Himalaya, Northern Pakistan

et al. 2021

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Given active tectonism, rough terrain, and climate, the mountainous ranges in northern Pakistan are prone to geohazards, including earthquakes, unstable slopes, and landslides. The frequent landsliding in the region poses a risk to communities, economic activities, and transportation networks. In this context, the unstable slope above Mayun village calls for a multi-method approach for better assessment of the slope for planning interventions aimed at hazard mitigation. We conducted an integrated study including uncrewed aerial vehicle (UAV) and ground-penetrating radar (GPR) in coordination with geomorphic field observations to image the possible slip surfaces for a comprehensive understanding of a potential future rockslide with significant socioeconomic consequences. UAV-derived results helped delineate the overall extent of the unstable slope and its downslope area in a quick, remote, and safe way. GPR profiles have enabled the reconstruction of the bedrock’s morphology and its internal structure and the depth distribution of cracks running through the overburden and bedrock. The results provided insight into the stable and unstable compartments of the slope due to the thin cover of surficial deposits, high impedance contrast at the overburden-bedrock interface, lateral heterogeneities, and presence of open cracks, and almost detached blocks, respectively. These data on the dynamic properties of a landslide-prone slope could be used for the correct planning of civil infrastructure to minimize the potential risk of building damage in the seismically active Hunza valley.

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Section: Introductionmentioning

confidence: 99%

Characterization of an Unstable Slope Using Geophysical, UAV, and Geological Techniques: Karakoram Himalaya, Northern Pakistan

et al. 2021

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“…This aggregation of information allowed the detection of slope behavior patterns in space and time and enabled the attainment of the answers sought in the blind test. The applied 5 th Joint International Symposium on Deformation Monitoring (JISDM), 20-22 June 2022, Valencia, Spain 2022, Editorial Universitat Politècnica de València method is an improvement of that presented in Roque et al (2018), by including a post-processing method to correct unwrapping errors and to analyze partial time series.…”

Section: Introductionmentioning

confidence: 99%

InSAR displacement time series post-processing to back-analyze a slope failure

Roque

Correia²,

Cabral³

et al. 2022

Proceedings of the 5th Joint International Symposium on Deformation Monitoring - JISDM 2022

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In this study, the failure of a slope adjacent to a motorway was back-analyzed based on InSAR data. The location of the slided area and the exact date of the event were not known in advance. A post-processing strategy was applied on the displacement time series in order to aid the detection of instability signs and to enable the identification of the location and the narrowing down of the time interval of the slide. InSAR displacement time series were obtained following the small baseline subset approach implemented on an automatic processing platform. Distributed scatterers were clustered based on the similarity of their displacement time series, in order to form clusters of scatterers with similar behavior. This procedure allowed the computation of displacement time series representative of each cluster, aiding the detection of instability signs on the slope. One of the clusters showed a sudden movement away from the SAR sensor. It was later confirmed that the slide had occurred at the location of the scatterers belonging to that cluster and during the time interval between the two observation epochs corresponding to the break in the time series. In conclusion, the proposed method was effective in the back-analysis of the slope failure, hopefully contributing to the uptake of InSAR technology by structural safety experts.

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“…The time parameter is indispensable in the dynamic prediction model of ground subsidence. The Knothe time function model is considered to be the basic model to describe the dynamic developing law of mining subsidence [26][27][28]. Widely used time function models include Normal distribution function model [29], Sroka-Schober two-parameter time function model [30], Gompertz time function model [31], Logistic time function model [32], Weibull time function model [33], Ichards time function model [34], and MMF model [35].…”

Section: Introductionmentioning

confidence: 99%

Analysis on Subsidence Law of Bedrock and Ultrathick Loose Layer Caused by Coal Mining

Shi

et al. 2021

Geofluids

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In the process of coal mining, when the buried depth is large and the loose layer is thick, the ground subsidence tends to be abnormal, thus causing great damage to the surface ecological environment. In order to reveal the mechanism of mining ground subsidence under ultrathick loose layer, taking 1305 working face of a mine as the background, the law of mining ground subsidence under ultrathick loose layer was analyzed through field measurement. The law of bedrock subsidence is analyzed by similar simulation test, and the role of ultrathick loose layer in bedrock subsidence is quantitatively analyzed. The hydrophobic settlement model of ultrathick loose layer is established by settlement theory calculation, and the law of ground subsidence caused by hydrophobic of ultrathick loose layer is analyzed. The results show that the ground subsidence is mainly composed of bedrock subsidence and hydrophobic settlement of ultrathick loose layer. The maximum ground subsidence measured in the field is 4.201 m, the bedrock surface subsidence obtained by the simulation test of similar materials is 3.552 m, and the subsidence of ultrathick loose layer obtained by hydrophobic settlement analysis is 0.58 m. Adding the subsidence of bedrock surface and the subsidence of ultrathick loose layer, the ground subsidence is 4.132 m. It is in good agreement with the total ground subsidence measured in the field, which verifies the rationality that the ground subsidence mainly includes bedrock subsidence and hydrophobic settlement of ultrathick loose layer.

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Analysis of InSAR displacements for the slopes around Odelouca reservoir

Cited by 5 publications

References 6 publications

Characterization of an Unstable Slope Using Geophysical, UAV, and Geological Techniques: Karakoram Himalaya, Northern Pakistan

Characterization of an Unstable Slope Using Geophysical, UAV, and Geological Techniques: Karakoram Himalaya, Northern Pakistan

InSAR displacement time series post-processing to back-analyze a slope failure

Analysis on Subsidence Law of Bedrock and Ultrathick Loose Layer Caused by Coal Mining

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