Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure

Abstract Mudflow is often associated with seismic activities. The present study applied a seismic based detection of the surface waves generated by the mudflow of Brumadinho dam collapse using records of Brazilian Seismographic Network. The signal envelope and time-frequency spectrograms of the mudf...

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Main Authors: Yawar Hussain, Omar Hamza, Xinghui Huang, André Carlos Silva, Cristobal Condori, Rogério Uagoda, André Luís Brasil Cavalcante
Format: Article
Language:English
Published: Fundação Gorceix 2020-06-01
Series:REM: International Engineering Journal
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000300421&tlng=en
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author Yawar Hussain
Omar Hamza
Xinghui Huang
André Carlos Silva
Cristobal Condori
Rogério Uagoda
André Luís Brasil Cavalcante
author_facet Yawar Hussain
Omar Hamza
Xinghui Huang
André Carlos Silva
Cristobal Condori
Rogério Uagoda
André Luís Brasil Cavalcante
author_sort Yawar Hussain
collection DOAJ
description Abstract Mudflow is often associated with seismic activities. The present study applied a seismic based detection of the surface waves generated by the mudflow of Brumadinho dam collapse using records of Brazilian Seismographic Network. The signal envelope and time-frequency spectrograms of the mudflow signals were used in the analysis. As a result, the mudflow signals were successfully detected from the data recorded at a nearby seismic station. The findings of this study provide a good basis for future research to develop a flood early warning system based on cost-effective, remote and contentious seismic monitoring approaches.
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spelling doaj.art-330922bfc1e14417a4ca62353f918de02022-12-21T17:22:48ZengFundação GorceixREM: International Engineering Journal2448-167X2020-06-0173342142410.1590/0370-44672019730040Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failureYawar Hussainhttps://orcid.org/0000-0002-4155-6764Omar Hamzahttps://orcid.org/0000-0002-5048-0423Xinghui Huanghttps://orcid.org/0000-0002-0493-1350André Carlos Silvahttps://orcid.org/0000-0002-9760-0728Cristobal Condorihttps://orcid.org/0000-0003-2657-147XRogério Uagodahttps://orcid.org/0000-0002-9448-1313André Luís Brasil Cavalcantehttps://orcid.org/0000-0003-4980-1450Abstract Mudflow is often associated with seismic activities. The present study applied a seismic based detection of the surface waves generated by the mudflow of Brumadinho dam collapse using records of Brazilian Seismographic Network. The signal envelope and time-frequency spectrograms of the mudflow signals were used in the analysis. As a result, the mudflow signals were successfully detected from the data recorded at a nearby seismic station. The findings of this study provide a good basis for future research to develop a flood early warning system based on cost-effective, remote and contentious seismic monitoring approaches.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000300421&tlng=enenvelopespectrogramflood early warning system
spellingShingle Yawar Hussain
Omar Hamza
Xinghui Huang
André Carlos Silva
Cristobal Condori
Rogério Uagoda
André Luís Brasil Cavalcante
Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
REM: International Engineering Journal
envelope
spectrogram
flood early warning system
title Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
title_full Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
title_fullStr Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
title_full_unstemmed Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
title_short Seismic signature of mudflow tremor resulted from Brumadinho (Brazil) tailings dam failure
title_sort seismic signature of mudflow tremor resulted from brumadinho brazil tailings dam failure
topic envelope
spectrogram
flood early warning system
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2020000300421&tlng=en
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