A multidisciplinary approach to study slope instability in the Alboran Sea shoreline: Study of the Tamegaret deep-seated slow-moving landslide in Northern Morocco

Bounab, Ali; Kharim, Younès El; Hamdouni, Rachid El; Hlila, Rachid

doi:10.1016/j.jafrearsci.2021.104345

Cited by 15 publications

(7 citation statements)

References 61 publications

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“…On the other hand, slow-moving landslides move downslope at velocities that range from mm year −1 to m year −1 for months to hundreds of years (Cruden and Varnes 1996;Lacroix et al 2020b). Investigations of slow-moving landslides include landslide inventories (Lu et al 2012;Borrelli et al 2018;Zhang et al 2018), long-term monitoring (Parise et al 2003;Macfarlane 2009;Kavoura et al 2020), and case studies that define, characterize, and determine the conditions of slope movement (Tomás et al 2016;Kang et al 2017;Bounab et al 2021;Dille et al 2021;Li et al 2021;Jacquemart and Tiampo 2021).…”

Section: Introductionmentioning

confidence: 99%

A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series

et al. 2022

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Slow-moving landslides move downslope at velocities that range from mm year−1 to m year−1. Such deformations can be measured using satellite-based synthetic aperture radar interferometry (InSAR). We developed a new method to systematically detect and quantify accelerations and decelerations of slowly deforming areas using InSAR displacement time series. The displacement time series are filtered using an outlier detector and subsequently piecewise linear functions are fitted to identify changes in the displacement rate (i.e., accelerations or decelerations). Grouped accelerations and decelerations are inventoried as indicators of potential unstable areas. We tested and refined our new method using a high-quality dataset from the Mud Creek landslide, CA, USA. Our method detects accelerations and decelerations that coincide with those previously detected by manual examination. Second, we tested our method in the region around the Mazar dam and reservoir in Southeast Ecuador, where the time series data were of considerably lower quality. We detected accelerations and decelerations occurring during the entire study period near and upslope of the reservoir. Application of our method results in a wealth of information on the dynamics of the surface displacement of hillslopes and provides an objective way to identify changes in displacement rates. The displacement rates, their spatial variation, and the timing of accelerations and decelerations can be used to study the physical behavior of a slow-moving slope or for regional hazard assessment by linking the timing of changes in displacement rates to landslide causal and triggering factors.

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Section: Introductionmentioning

confidence: 99%

A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series

et al. 2022

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“…The third deformation process D3 is characterized by a N/S compression which is associated with the presence of several NW/SE faults and NE/SW strike-slips, this orientation is taken by the major rivers that cross the Bni Bousera massif (Amtar, Jnan Niche and Aaraben). The fourth deformation process D4 is a radial extension which is characterized by the reactivation of previously formed faults of direction (NE/SW, N/S and E/W mostly) from the lower Pliocene to the present, they are corresponding to a normal faulting, as it was observed in an unstable slope to the north and south of the study area where the eld morphology is dominated by steep triangular-shaped reliefs (Bounab et al, 2021) (Fig. 2).…”

Section: -Study Areamentioning

confidence: 97%

Coastal rocky slopes instability analysis and landslide frequency-area distribution alongside the road network in west Mediterranean context (Northern of Morocco)

Obda

Kharim

Obda

et al. 2022

Preprint

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The Mediterranean coasts are known for their tourist attractiveness due to its richness in fishing resources and beach resorts as well as landscapes at the level of different ecosystems (forests, rocky and sandy beaches). The construction of the Mediterranean coastal road (RN16), which aims to enhance the tourist value of these resources and to improve access to this coastal region, has triggered an almost radical modification in the development process of this area, where the risks are increasing because of the multiplication of the challenges and the hazards due to the instability of its slopes. These events are mainly the result of marine erosion, the involvement of geological, geomorphological, climatic factors and also anthropic parameters with a strong littoralisation. The study area is characterized by active tectonics translated by the presence of faulting sets affecting the rock mass. The aim of this study is to assess the characteristics of the rock mass and its stability, and to anticipate landslide occurrence frequency with a particular size in a specified region with a certain rock mass quality as well. The methodology followed in this work consists of the elaboration of a complete inventory of landslides, the fracturation analysis and the rock mass engineering conducted to evaluate the stability of the slopes and the statistical analysis of the landslide size distribution. The combination of these two approaches has allowed us to assess qualitatively and quantitatively the landslide hazard on coastal rocky fractured areas.

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“…Indeed, the use of InSAR techniques in North Africa is scarcely documented in the literature: Fonseca [19] investigated failure mechanisms of DGSDs in the Rif Mountains (North Morocco) and Beladam et al [20] correlated surface displacements detected by InSAR with known landslides in Constantine (Algeria). Photogrammetry has been applied to aerial photographs to study the El Biar Landslide in Algiers, Algeria [21], but no other publication about North Africa used UAV images until the very recent paper by Bounab et al [22]. They undertook a study similar to ours in northern Morocco, integrating UAV-DP, InSAR, and geophysics to analyze a slow-moving landslide by the coast of the Alboran Sea.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Geological Controls and Kinematics of the Chgega Landslide (Mateur, Tunisia) Exploiting Photogrammetry and InSAR Technologies

et al. 2021

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Exploration of territories not previously analyzed by landslide experts provides interesting findings. The Chgega landslide, in northern Tunisia, represents a paradigmatic mass movement. It can be classified as a complex landslide, or more specifically as vast rock spreading that evolved into a block slide. It involves a great block of limestone—about 900 m long and 400 m wide—sliding over ductile clays and marls. The viscoplastic creep of the clays drives the landslide and creates, in its crown, a graben ~800 m long and ~120 m wide that breaks the summit of Chgega Mountain. Using Interferometric Synthetic Aperture Radar (InSAR) technologies, we demonstrate that this complex landslide is currently active and moreover shows progressive movement without clear episodic accelerations. The velocity of the limestone block is just above 2 mm/yr. The occurrence of gravity-induced joints indicates that the movement has an orientation towards 333° of azimuth on average, conditioned by the landscape around Chgega. These results were obtained through the analysis of a 3D model and a high-resolution orthoimage created from photographs acquired by an Uncrewed Aerial Vehicle (UAV). We may conclude that the landslide movement is determined by normal faults with directions N060°E and N140–150°E. This characterization of the Chgega landslide can serve as the basis for future studies about the origin of this slope movement. Furthermore, the data provided here may support the recognition of Chgega as a singular geological point that deserves to be declared a geosite.

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A multidisciplinary approach to study slope instability in the Alboran Sea shoreline: Study of the Tamegaret deep-seated slow-moving landslide in Northern Morocco

Cited by 15 publications

References 61 publications

A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series

A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series

Coastal rocky slopes instability analysis and landslide frequency-area distribution alongside the road network in west Mediterranean context (Northern of Morocco)

Analysis of the Geological Controls and Kinematics of the Chgega Landslide (Mateur, Tunisia) Exploiting Photogrammetry and InSAR Technologies

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