Satellite radar observation and advanced interpretation for stability monitoring of open pits: the Manefay failure (Kennecott Copper Mine), Utah, USA
Notice bibliographique
Résumé
Slope stability monitoring is a very important aspect in open pit mining processes, where landslides without warning may cause huge loss of life, injuries and infrastructure damage, interfering with mine planning and causing significant increased costs and economic losses. Slope monitoring, modeling and stability analysis help to improve the safety of mining activities and to minimize these economic effects. For slope monitoring, many techniques are available, including the use of prisms, GNSS, total stations, extensometers, inclinometers, infrasound sensors, and ground-based radar. All those techniques only give observation data from the epoch over which the sensors have been installed and cover only the specific areas where they are installed. Both aspects can be important, conditioning the results and their applicability.  To complement these observation techniques and overcome their limitations remote satellite interferometric synthetic aperture radar (InSAR) analysis can be applied to detect and characterize unstable areas, although it normally is not used in an operative way.  Even if the deformation data are obtained in a continuous (or nearly continuous) way, normally they are not inverted using methodologies which allow determination of the initial stages of ground fracturing, the 3D characteristics of the sources acting to produce the observed deformation, their location- and time-evolution. A study of this type could facilitate early detection, in some cases a long time before a potential landslide, helping to support decision making about preventive and/or corrective measures, and to avoid disasters, minimizing impacts. We present here a new methodology that would complement the current operational ones. This methodology implies the use of two complementary aspects in the open pits monitoring: operational monitoring of the pit and its surroundings using InSAR observation looking for precursory small line of sight (LOS) displacements; and the use of an interpretation methodology to estimate the source’s location and characteristics and their time evolution. This interpretation methodology is able to invert simultaneously ascending and descending time-series of InSAR LOS displacement data, assuming the existence of possible offset values in these data sets which will be estimated during the inversion process. 3-D sources for pressure and dislocations (strike-slip, dip-slip, and tensile, representing fractures and faults) are adjusted without having any a priori hypotheses on the source characteristics (number, nature, shape or location). This approach automatically assigns the number of sources, their type, magnitude values (MPa for pressure and cm for dislocations), as well as their position and orientation (angles of dislocation planes). The inversion methodology is nonlinear, based on an exploratory approach of the model space.  To evaluate the applicability of this new approach we consider a very well-known test-case, the Manefay landslide at Bingham Canyon open pit mine, happened on April 10th, 2013, in southwest of Salt Lake City, Utah, USA. This research has been supported by grants G2HOTSPOTS (PID2021-122142OB-I00), STONE (CPP2021-009072) and Defsour-PLUS (PDC2022-133304-I00) from the MCIN/AEI/10.13039/501100011033/FEDER, UE with funds from NextGenerationEU/PRTR.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».