@Article{MuraGaPaNeCaOlBr:2018:MoVuDa,
author = "Mura, Jos{\'e} Cl{\'a}udio and Gama, F{\'a}bio Furlan and
Paradella, Waldir Renato and Negr{\~a}o, Priscila and Carneiro,
Samuel and Oliveira, Cleber G. de and Brand{\~a}o, Waldiza S.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {SAMARCO Minera{\c{c}}{\~a}o S.A.} and
{VISIONA Tecnologia Espacial} and {VISIONA Tecnologia Espacial}",
title = "Monitoring the vulnerability of the dam and dikes in Germano iron
mining area after the collapse of the tailings dam of fund{\~a}o
(Mariana-MG, Brazil) using DInSAR techniques with terraSAR-X
data",
journal = "Remote Sensing",
year = "2018",
volume = "10",
number = "10",
pages = "e1507",
month = "Oct.",
keywords = "tailing dam, Germano, Fund{\~a}o, SBAS, PSI, TerraSAR-X, ground
displacement.",
abstract = "The Fund{\~a}o 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.",
doi = "10.3390/rs10101507",
url = "http://dx.doi.org/10.3390/rs10101507",
issn = "2072-4292",
language = "en",
targetfile = "mura_monitoring.pdf",
urlaccessdate = "27 abr. 2024"
}