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Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse

Stephen Grebby, Andrew Sowter, Jon Gluyas, D. G. Toll, David G. Gee, Ahmed Athab, Renoy Girindran

2021Communications Earth & Environment77 citationsDOIOpen Access PDF

Abstract

Abstract Catastrophic failure of a tailings dam at an iron ore mine complex in Brumadinho, Brazil, on 25th January 2019 released 11.7 million m 3 of tailings downstream. Although reportedly monitored using an array of geotechnical techniques, the collapse occurred without any apparent warning. It claimed more than 200 lives and caused considerable environmental damage. Here we present the Intermittent Small Baseline Subset (ISBAS) technique on satellite-based interferometric synthetic aperture radar (InSAR) data to assess the course of events. We find that parts of the dam wall and tailings were experiencing deformation not consistent with consolidation settlement preceding the collapse. Furthermore, we show that the timing of the dam collapse would have been foreseeable based on this observed precursory deformation. We conclude that satellite-based monitoring techniques may help mitigate similar catastrophes in the future.

Topics & Concepts

TailingsInterferometric synthetic aperture radarConsolidation (business)Tailings damGeologyDeformation monitoringMining engineeringGeotechnical engineeringSatelliteDam failureSettlement (finance)Deformation (meteorology)Synthetic aperture radarSeismologyRemote sensingEngineeringGeographyFlood mythOceanographyArchaeologyComputer scienceMaterials sciencePaymentMetallurgyBusinessAerospace engineeringAccountingWorld Wide WebSynthetic Aperture Radar (SAR) Applications and TechniquesSoil erosion and sediment transportTailings Management and Properties
Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse | Litcius