Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach.

Du, Z; Ge, L; Ng, AH-M; Zhu, Q; Horgan, FG; Zhang, Q

Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach.

Du, Z Ge, L Ng, AH-M Zhu, Q

Horgan, FG Zhang, Q

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: The Science of the total environment, 2020, 717
Issue Date:: 2020-05

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Field	Value	Language
dc.contributor.author	Du, Z
dc.contributor.author	Ge, L
dc.contributor.author	Ng, AH-M
dc.contributor.author	Zhu, Q https://orcid.org/0000-0002-2371-4626
dc.contributor.author	Horgan, FG
dc.contributor.author	Zhang, Q
dc.date.accessioned	2021-01-08T03:22:43Z
dc.date.available	2020-02-03
dc.date.available	2021-01-08T03:22:43Z
dc.date.issued	2020-05
dc.identifier.citation	The Science of the total environment, 2020, 717
dc.identifier.issn	0048-9697
dc.identifier.issn	1879-1026
dc.identifier.uri	http://hdl.handle.net/10453/145217
dc.description.abstract	Tailings dams are usually ponds bounded by valleys or surrounding topography to store mining or other chemical industrial waste. On 25 January 2019, the collapse of a tailings dam at the Córrego do Feijao iron ore mine (Brumadinho, Minas Gerais, Brazil) released about 12 million m3 of tailings, killing over 240 people and posing a considerable and ongoing environmental threat. The stability of tailings dam monitoring is very important and in the present paper, a new InSAR (Synthetic Aperture Radar Interferometry) time series approach is proposed to derive ground displacement maps for use in dam safety monitoring. Compared with the other solutions, the unique feature of the proposed method is that: 1) the new Measurement Pixel (MP) selection criteria has the potential to include relatively more accurate MP pixels and build a more robust network, 2) the multi-level grading system makes it possible to add the MP pixels into the main network step-by-step with external control, and 3) the computing efficiency can be improved by strategically reducing the iteration times. The proposed approach was tested on both simulated and real data. Results show that the Simulated Annealing (SA) method normally has a more accurate estimation as compared to the Quasi-Newton (QN) method, despite its longer processing time. Detailed analysis of the displacement maps was conducted to determine the subsidence processes that result from dam construction.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	The Science of the total environment
dc.relation.isbasedon	10.1016/j.scitotenv.2020.137125
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Environmental Sciences
dc.title	Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach.
dc.type	Journal Article
utslib.citation.volume	717
utslib.location.activity	Netherlands
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-01-08T03:22:26Z
pubs.publication-status	Published
pubs.volume	717

Abstract:

Tailings dams are usually ponds bounded by valleys or surrounding topography to store mining or other chemical industrial waste. On 25 January 2019, the collapse of a tailings dam at the Córrego do Feijao iron ore mine (Brumadinho, Minas Gerais, Brazil) released about 12 million m3 of tailings, killing over 240 people and posing a considerable and ongoing environmental threat. The stability of tailings dam monitoring is very important and in the present paper, a new InSAR (Synthetic Aperture Radar Interferometry) time series approach is proposed to derive ground displacement maps for use in dam safety monitoring. Compared with the other solutions, the unique feature of the proposed method is that: 1) the new Measurement Pixel (MP) selection criteria has the potential to include relatively more accurate MP pixels and build a more robust network, 2) the multi-level grading system makes it possible to add the MP pixels into the main network step-by-step with external control, and 3) the computing efficiency can be improved by strategically reducing the iteration times. The proposed approach was tested on both simulated and real data. Results show that the Simulated Annealing (SA) method normally has a more accurate estimation as compared to the Quasi-Newton (QN) method, despite its longer processing time. Detailed analysis of the displacement maps was conducted to determine the subsidence processes that result from dam construction.

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http://hdl.handle.net/10453/145217