The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure

Detalhes bibliográficos
Autor(a) principal: Lin, Yunung Nina
Data de Publicação: 2021
Outros Autores: Park, Edward, Wang, Yu, Quek, Yu Pin, Lim, Jana, Alcantara, Enner [UNESP], Loc, Ho Huu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.isprsjprs.2021.05.015
http://hdl.handle.net/11449/221844
Resumo: A quarry failure along the slopes of the Wai Khar open-pit jade mine in Hpakant, Myanmar has led to the deaths of at least 172 jade miners on 2 July 2020. This paper conducts a systematic investigation of the incident by integrating data from multiple sensors, including high-resolution optical imagery, Sentinel-1 synthetic aperture radar (SAR) images, unmanned aerial system (UAS) footage, SRTM and ALOS digital elevation models (DEMs), soil moisture product from multi-spectral Landsat-8 satellite and precipitation records from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Optical imagery, UAS footage and DEMs allow us to build a comprehensive mapping of tailing areas and quarry scarps from 2010 and reconstruct the 2D pit geometry prior to failure. Deformation signals from multi-temporal SAR interferometry (MTInSAR), soil moisture variations and precipitation trends further allow us to identify possible failure causes. To evaluate the quality of deformation obtained from different distributed-scatterer phase estimators, we develop an empirical mapping function based on areal fraction values to facilitate the comparison of temporal coherence values that are differently formulated in each phase estimator. The comparison shows that phase linking algorithm outperforms the small baseline subset method in terms of signal recovery and phase reliability. Our investigation points out that the mining site is under aggressive mining cycles that are exacerbated by frequent, uncontrolled landslides. Seepage failure, which involves the expulsion of water from rapidly compacting tailings, may be a critical factor in the 2020 incident. Instead of extreme weather, the failure had occurred under normal to drier conditions. This means that the sliding planes were already in a critical state, which is evident from the accelerated deformation around the collapse area since the beginning of 2020. Based on these findings, we provide recommendations to improve mining site regulations and management practices for safer open-pit mining in Myanmar and probably in similar contexts outside Myanmar.
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spelling The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failureInSAR time-seriesJade mine in MyanmarOpen-pit minePhase linkingSeepage failureSlope failureA quarry failure along the slopes of the Wai Khar open-pit jade mine in Hpakant, Myanmar has led to the deaths of at least 172 jade miners on 2 July 2020. This paper conducts a systematic investigation of the incident by integrating data from multiple sensors, including high-resolution optical imagery, Sentinel-1 synthetic aperture radar (SAR) images, unmanned aerial system (UAS) footage, SRTM and ALOS digital elevation models (DEMs), soil moisture product from multi-spectral Landsat-8 satellite and precipitation records from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Optical imagery, UAS footage and DEMs allow us to build a comprehensive mapping of tailing areas and quarry scarps from 2010 and reconstruct the 2D pit geometry prior to failure. Deformation signals from multi-temporal SAR interferometry (MTInSAR), soil moisture variations and precipitation trends further allow us to identify possible failure causes. To evaluate the quality of deformation obtained from different distributed-scatterer phase estimators, we develop an empirical mapping function based on areal fraction values to facilitate the comparison of temporal coherence values that are differently formulated in each phase estimator. The comparison shows that phase linking algorithm outperforms the small baseline subset method in terms of signal recovery and phase reliability. Our investigation points out that the mining site is under aggressive mining cycles that are exacerbated by frequent, uncontrolled landslides. Seepage failure, which involves the expulsion of water from rapidly compacting tailings, may be a critical factor in the 2020 incident. Instead of extreme weather, the failure had occurred under normal to drier conditions. This means that the sliding planes were already in a critical state, which is evident from the accelerated deformation around the collapse area since the beginning of 2020. Based on these findings, we provide recommendations to improve mining site regulations and management practices for safer open-pit mining in Myanmar and probably in similar contexts outside Myanmar.Institute of Earth Sciences Academia SinicaNational Institute of Education Nanyang Technological UniversityAsian School of the Environment Nanyang Technological UniversityDepartment of Geosciences National Taiwan UniversityDepartment of Environmental Engineering Sao Paulo State UniversityWater Engineering and Management Asian Institute of TechnologyDepartment of Environmental Engineering Sao Paulo State UniversityAcademia SinicaNanyang Technological UniversityNational Taiwan UniversityUniversidade Estadual Paulista (UNESP)Asian Institute of TechnologyLin, Yunung NinaPark, EdwardWang, YuQuek, Yu PinLim, JanaAlcantara, Enner [UNESP]Loc, Ho Huu2022-04-28T19:40:55Z2022-04-28T19:40:55Z2021-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article291-305http://dx.doi.org/10.1016/j.isprsjprs.2021.05.015ISPRS Journal of Photogrammetry and Remote Sensing, v. 177, p. 291-305.0924-2716http://hdl.handle.net/11449/22184410.1016/j.isprsjprs.2021.05.0152-s2.0-85108718103Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengISPRS Journal of Photogrammetry and Remote Sensinginfo:eu-repo/semantics/openAccess2022-04-28T19:40:55Zoai:repositorio.unesp.br:11449/221844Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:43:27.671224Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
title The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
spellingShingle The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
Lin, Yunung Nina
InSAR time-series
Jade mine in Myanmar
Open-pit mine
Phase linking
Seepage failure
Slope failure
title_short The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
title_full The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
title_fullStr The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
title_full_unstemmed The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
title_sort The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure
author Lin, Yunung Nina
author_facet Lin, Yunung Nina
Park, Edward
Wang, Yu
Quek, Yu Pin
Lim, Jana
Alcantara, Enner [UNESP]
Loc, Ho Huu
author_role author
author2 Park, Edward
Wang, Yu
Quek, Yu Pin
Lim, Jana
Alcantara, Enner [UNESP]
Loc, Ho Huu
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Academia Sinica
Nanyang Technological University
National Taiwan University
Universidade Estadual Paulista (UNESP)
Asian Institute of Technology
dc.contributor.author.fl_str_mv Lin, Yunung Nina
Park, Edward
Wang, Yu
Quek, Yu Pin
Lim, Jana
Alcantara, Enner [UNESP]
Loc, Ho Huu
dc.subject.por.fl_str_mv InSAR time-series
Jade mine in Myanmar
Open-pit mine
Phase linking
Seepage failure
Slope failure
topic InSAR time-series
Jade mine in Myanmar
Open-pit mine
Phase linking
Seepage failure
Slope failure
description A quarry failure along the slopes of the Wai Khar open-pit jade mine in Hpakant, Myanmar has led to the deaths of at least 172 jade miners on 2 July 2020. This paper conducts a systematic investigation of the incident by integrating data from multiple sensors, including high-resolution optical imagery, Sentinel-1 synthetic aperture radar (SAR) images, unmanned aerial system (UAS) footage, SRTM and ALOS digital elevation models (DEMs), soil moisture product from multi-spectral Landsat-8 satellite and precipitation records from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Optical imagery, UAS footage and DEMs allow us to build a comprehensive mapping of tailing areas and quarry scarps from 2010 and reconstruct the 2D pit geometry prior to failure. Deformation signals from multi-temporal SAR interferometry (MTInSAR), soil moisture variations and precipitation trends further allow us to identify possible failure causes. To evaluate the quality of deformation obtained from different distributed-scatterer phase estimators, we develop an empirical mapping function based on areal fraction values to facilitate the comparison of temporal coherence values that are differently formulated in each phase estimator. The comparison shows that phase linking algorithm outperforms the small baseline subset method in terms of signal recovery and phase reliability. Our investigation points out that the mining site is under aggressive mining cycles that are exacerbated by frequent, uncontrolled landslides. Seepage failure, which involves the expulsion of water from rapidly compacting tailings, may be a critical factor in the 2020 incident. Instead of extreme weather, the failure had occurred under normal to drier conditions. This means that the sliding planes were already in a critical state, which is evident from the accelerated deformation around the collapse area since the beginning of 2020. Based on these findings, we provide recommendations to improve mining site regulations and management practices for safer open-pit mining in Myanmar and probably in similar contexts outside Myanmar.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-01
2022-04-28T19:40:55Z
2022-04-28T19:40:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.isprsjprs.2021.05.015
ISPRS Journal of Photogrammetry and Remote Sensing, v. 177, p. 291-305.
0924-2716
http://hdl.handle.net/11449/221844
10.1016/j.isprsjprs.2021.05.015
2-s2.0-85108718103
url http://dx.doi.org/10.1016/j.isprsjprs.2021.05.015
http://hdl.handle.net/11449/221844
identifier_str_mv ISPRS Journal of Photogrammetry and Remote Sensing, v. 177, p. 291-305.
0924-2716
10.1016/j.isprsjprs.2021.05.015
2-s2.0-85108718103
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv ISPRS Journal of Photogrammetry and Remote Sensing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 291-305
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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