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


Por: Lopez-Vinielles, J, Fernandez-Merodo, JA, Ezquerro, P, Garcia-Davalillo, JC, Sarro, R, Reyes-Carmona, C, Barra, A, Navarro, JA, Krishnakumar, V, Alvioli, M, Herrera, G

Publicada: 1 may 2021
Categoría: Earth and planetary sciences (miscellaneous)

Resumen:
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.

Filiaciones:
Lopez-Vinielles, J:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

 Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, 28040, Spain

 HEMAV SL, Castelldefels, 08860, Spain

Fernandez-Merodo, JA:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

 Escuela Técnica Superior de Ingenieros de Minas y Energía, Universidad Politécnica de Madrid, Madrid, 28003, Spain

Ezquerro, P:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

 Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, 28040, Spain

Garcia-Davalillo, JC:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

Sarro, R:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

Reyes-Carmona, C:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

Barra, A:
 Division of Geomatics, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, 08860, Spain

Navarro, JA:
 Division of Geomatics, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, 08860, Spain

Krishnakumar, V:
 Division of Geomatics, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, 08860, Spain

Alvioli, M:
 Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, Perugia, I-06128, Italy

Herrera, G:
 Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geoscience Research Department, Geological Survey of Spain (IGME), Madrid, 28003, Spain

 EuroGeoSurveys: Earth Observation and Geohazards Expert Group (EOEG), Brussels, 1000, Belgium
ISSN: 20724292





Remote Sensing
Editorial
MDPI Multidisciplinary Digital Publishing Institute, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, Suiza
Tipo de documento: Article
Volumen: 13 Número: 10
Páginas:
WOS Id: 000662647000001
imagen Green Published, gold, Gold, Green

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