Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the Tailings Dam of FundAo (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data

被引:46
作者
Mura, Jose C. [1 ]
Gama, Fabio F. [1 ]
Paradella, Waldir R. [1 ]
Negrao, Priscila [1 ]
Carneiro, Samuel [2 ]
de Oliveira, Cleber G. [3 ]
Brandao, Waldiza S. [3 ]
机构
[1] Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, SP, Brazil
[2] SAMARCO Mineracao SA, BR-35420000 Mariana, MG, Brazil
[3] VISIONA Tecnol Espacial, BR-12247016 Sao Jose Dos Campos, SP, Brazil
来源
REMOTE SENSING | 2018年 / 10卷 / 10期
关键词
tailing dam; Germano; FundAo; SBAS; PSI; TerraSAR-X; ground displacement; DIFFERENTIAL SAR INTERFEROMETRY; PERMANENT SCATTERERS; SURFACE DEFORMATION; AMAZON REGION; INTERFEROGRAMS; MINE; SUBSIDENCE;
D O I
10.3390/rs10101507
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The FundAo tailings dam in the Germano iron mining complex (Mariana, Brazil) collapsed on the afternoon of 5 November 2015, and around 32.6 million cubic meters of mining waste spilled from the dam, causing polluion with mining waste along a trajectory of 668 km, extending to the Atlantic Ocean. The Sela & Tulipa and Selinha dikes, and the main Germano tailings dam, were directly or indirectly affected by the accident. This work presents an investigation using Advanced-Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques for risk assessment in these critical structures during 18 months after the catastrophic event. The approach was based on the integration of SBAS (Small Baseline Subset) and PSI (Persistent Scatterer Interferometry) techniques, aiming at detecting linear and nonlinear ground displacements in these mining structures. It used a set of 48 TerraSAR-X images acquired on ascending mode from 11 November 2015 to 15 May 2017. The results provided by the A-DInSAR analysis indicated an overall stability in the dikes and in the main wall of Germano tailings dam, which is in agreement with in situ topographic monitoring. In addition, it was possible to detect areas within the reservoir showing accumulated values of up to -125 mm of subsidence, probably caused by settlements of the waste dry material due to the interruption of the mining waste deposition, and values up to -80 mm on auxiliary dikes, probably caused by continuous traffic of heavy equipment. The spatiotemporal information of surface displacement of this large mining structure can be used for future operational planning and risk control.
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页数:21
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