Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based

Domènech, Guillem; Alvioli, Massimiliano; Corominas, Jordi

doi:10.1007/s10346-019-01279-4

Cited by 45 publications

(22 citation statements)

References 68 publications

(97 reference statements)

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“…Thus, we calculated 56 SU maps, corresponding to the possible (a, c) combinations. The values selected were similar to the ones used in previous works [47,55]. Flat areas were excluded from the delineation process by computing a plains map including all areas of the digital elevation model with slope gradient lower than 5 • .…”

Section: Parametric Delineation Of Slope Unitsmentioning

confidence: 99%

“…The optimal values of the input parameters a and c (i.e., the ones corresponding to the optimal ADSU set), were obtained by minimizing Equation (5) to find the best agreement between the mapped ADSUs and the landslide inventory. Although the optimal ADSU set was selected on the basis of the results obtained from Equation ( 5), we also investigated the use of the custom metric developed in [55,56] for comparison. This metric analyzes the differences between the inventoried landslides and the predicted ones (i.e., the mapped ADSUs in this case), in terms of their cumulative frequency size distributions, and is defined as follows:…”

Section: Determination Of Active Deformation Slope Unitsmentioning

confidence: 99%

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Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

et al. 2021

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Slope failures pose a substantial threat to mining activity due to their destructive potential and high probability of occurrence on steep slopes close to limit equilibrium conditions, which are often found both in open pits and in waste and tailing disposal facilities. The development of slope monitoring and modeling programs usually entails the exploitation of in situ and remote sensing data, together with the application of numerical modeling, and it plays an important role in the definition of prevention and mitigation measures aimed at minimizing the impact of slope failures in mining areas. In this paper, a new methodology is presented; one that combines satellite radar interferometry and 2D finite element modeling for slope stability analysis at a regional scale, and applied within slope unit polygons. Although the literature includes many studies applying radar interferometry and modeling for slope stability analysis, the addition of slope units as input data for radar interferometry and modeling purposes has, to our knowledge, not previously been reported. A former mining area in southeast Spain was studied, and the method proved useful for detecting and characterizing a large number of unstable slopes. Out of the 1959 slope units used for the spatial analysis of the radar interferometry data, 43 were unstable, with varying values of safety factor and landslide size. Out of the 43 active slope units, 21 exhibited line of sight velocities greater than the maximum error obtained through validation analysis (2.5 cm/year). Finally, this work discusses the possibility of using the results of the proposed approach to devise a proxy for landslide hazard. The proposed methodology can help to provide non-expert final users with intelligible, clear, and easily comparable information to analyze slope instabilities in different settings, and not limited to mining areas.

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Section: Parametric Delineation Of Slope Unitsmentioning

confidence: 99%

Section: Determination Of Active Deformation Slope Unitsmentioning

confidence: 99%

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

et al. 2021

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View full text Add to dashboard Cite

show abstract

“…Thus, we calculated 56 SU maps, corresponding to the possible (a, c) combinations. The values selected are similar to the ones used in previous works [47,55]. Flat areas were excluded from the delineation process by computing a plains map including all areas of the DEM with slope gradient lower than 5⁰.…”

Section: Parametric Delineation Of Slope Unitsmentioning

confidence: 99%

“…Although the optimal ADSU set was selected on the basis of the results obtained from Eq. (5), we also investigated the use of the custom metric developed in [55,56] for comparison. This metric analyzes the differences between the inventoried landslides and the predicted ones-the mapped ADSUs in this case, in terms of their cumulated frequency size distributions, and is defined as follows:…”

Section: Determination Of Active Deformation Slope Unitsmentioning

confidence: 99%

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

López‐Vinielles¹,

Merodo²,

Ezquerro³

et al. 2021

Preprint

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Slope failures pose a substantial threat to mining activity due to their destructive potential and high probability of occurrence on steep slopes close to limit equilibrium conditions, often found both in open pits and in waste and tailing disposal facilities. The development of slope monitoring and modeling programs usually entails the exploitation of in situ and remote sensing data together with the application of numerical modeling, and it plays an important role in the definition of prevention and mitigation measures aimed at minimizing the impact of slope failures in mining areas. Here we present a new methodology combining satellite radar interferometry and 2D finite element modeling for slope stability analysis at a regional scale, applied within slope unit polygons. We studied a former mining area in southeast Spain, and the method proved useful in detecting and characterizing a considerably large number of unstable slopes. Out of 1,959 slope units used for the spatial analysis of the radar interferometry data, 43 were unstable, with varying values of safety factor and landslide size. Out of the 43 active slope units, 21 exhibited line of sight velocities greater than the maximum error obtained through the validation analysis (2.5 cm/year). Eventually, this work discusses the possibility of using the results of the proposed approach to devise a proxy for landslide hazard. The proposed methodology can help to provide non-expert final users with intelligible, clear and easily comparable information to analyze slope instabilities in different settings, not limited to mining areas.

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“…e main physical models used to evaluate landslides associated with rainfall are Shallow Slope Stability model (SHALSTAB) [11,12], the Stability Index MAPping model (SINMAP) [13,14], and the Transient Rainfall Infiltration and Grid-based Regional Slope Stability model (TRIGRS) [15][16][17][18][19]. e most recognized and widely used models are currently the SINMAP [13,[20][21][22][23][24][25]. e theoretical basis of using the SINMAP model arises from the fact that it is a large-scale slope stability model utilizing the terrain moisture index obtained from the steady-state hydrological model based on grid units that can be quickly and conveniently calculated.…”

Section: Introductionmentioning

confidence: 99%

A Regional Landslide Stability Analysis Method under the Combined Impact of Rainfall and Vegetation Roots in South China

Gong

Wang

Zhou

et al. 2021

Advances in Civil Engineering

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The aim of this study was to develop a regional landslide stability analysis method considering the combined impact of rainfall and the roots of vegetation in densely vegetated areas. A typical mountainous watershed in the Nanling National Nature Reserve of South China was chosen as the study area. First, the unmanned aerial vehicle (UAV) method was used to obtain surface element information including topography, vegetation, and landslides. Five main plant species were identified. The RipRoot model was then used to calculate the additional cohesion of these five plant species, and the relationship between the root systems of the different plant species and the soil shear strength was subsequently revealed. Finally, the root cohesion was introduced into the stability index mapping model (SINMAP), and the receiver operating characteristic curve (ROC) method was used to calculate the accuracy of slope stability when considering only soil cohesion as well as the composite cohesion of both soil and roots. The results showed significant differences in the root cohesion of different plants in the study area and a significant increase in the calculation accuracy (from 90% to 95.6%) when root cohesion was considered in the landslide stability calculation. These study results not only enrich theoretical studies on the impact of vegetation roots on landslide stability but also provide a scientific support for preventing disasters in mountainous landslide-prone areas.

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Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based

Cited by 45 publications

References 68 publications

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

A Regional Landslide Stability Analysis Method under the Combined Impact of Rainfall and Vegetation Roots in South China

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