Fundão tailings dam failure in Brazil: Evidence of a population exposed to high levels of Al, As, Hg, and Ni after a human biomonitoring study

2022 ◽  
Vol 205 ◽  
pp. 112524
Author(s):  
Ana Carolina Cavalheiro Paulelli ◽  
Cibele Aparecida Cesila ◽  
Paula Pícoli Devóz ◽  
Silvana Ruella de Oliveira ◽  
João Paulo Bianchi Ximenez ◽  
...  
Keyword(s):  
Human Biomonitoring ◽  
Dam Failure ◽  
Tailings Dam

POLYGON WALL BOUNDARY MODEL IN PARTICLE-BASED METHOD: APPLICATION TO BRUMADINHO TAILINGS DAM FAILURE

2019 ◽  
Author(s):  
Rubens Augusto Amaro Junior ◽  
Lucas Soares Pereira ◽  
Liang-Yee Cheng ◽  
Ahmad Shakibaeinia
Keyword(s):  
Dam Failure ◽  
Tailings Dam ◽  
Wall Boundary ◽  
Boundary Model ◽  
Polygon Wall Boundary Model

scholarly journals The tailings dam failure of 5 November 2015 in SE Brazil and its preceding seismic sequence

2016 ◽  
Vol 43 (10) ◽  
pp. 4929-4936 ◽  
Author(s):  
H. Agurto‐Detzel ◽  
M. Bianchi ◽  
M. Assumpção ◽  
M. Schimmel ◽  
B. Collaço ◽  
...  
Keyword(s):  
Dam Failure ◽  
Tailings Dam ◽  
Seismic Sequence ◽  
Se Brazil

Some lessons from a recent tailings dam failure

2009 ◽  
pp. 343-352
Author(s):  
J.-C. Ballard ◽  
Berghe J.-F. Vanden ◽  
R. A. Jewell ◽  
M. Pirson
Keyword(s):  
Dam Failure ◽  
Tailings Dam

Static liquefaction as a possible explanation for the Merriespruit tailings dam failure: Reply

2002 ◽  
Vol 39 (6) ◽  
pp. 1441-1442
Author(s):  
A B Fourie ◽  
G E Blight ◽  
G Papageorgiou
Keyword(s):  
Dam Failure ◽  
Tailings Dam ◽  
Static Liquefaction

River system recovery following the Novaţ-Roşu tailings dam failure, Maramureş County, Romania

2008 ◽  
Vol 23 (12) ◽  
pp. 3498-3518 ◽  
Author(s):  
Graham Bird ◽  
Paul A. Brewer ◽  
Mark G. Macklin ◽  
Dan Balteanu ◽  
Mihaela Serban ◽  
...  
Keyword(s):  
River System ◽  
Dam Failure ◽  
Tailings Dam

scholarly journals Integration of DSM and SPH to Model Tailings Dam Failure Run-Out Slurry Routing Across 3D Real Terrain

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1087 ◽  
Author(s):  
Kun Wang ◽  
Peng Yang ◽  
Karen Hudson-Edwards ◽  
Wensheng Lyu ◽  
Chao Yang ◽  
...  
Keyword(s):  
Numerical Modelling ◽  
Physical Modelling ◽  
Dam Failure ◽  
Surface Model ◽  
Tailings Dam ◽  
Disaster Prevention ◽  
Sph Method ◽  
Tailings Pond ◽  
Dam Failures ◽  
Modelling Experiment

Tailings dam failure accidents occur frequently, causing substantial damage and loss of human and animal life. The prediction of run-out tailings slurry routing following dam failures is of great significance for disaster prevention and mitigation. Using satellite remote sensing digital surface model (DSM) data, tailings pond parameters and the advanced meshless smoothed particle hydrodynamics (SPH) method, a 3D real-scale numerical modelling method was adopted to study the run-out tailings slurry routing across real downstream terrains that have and have not been affected by dam failures. Three case studies, including a physical modelling experiment, the 2015 Brazil Fundão tailings dam failure accident and an operating high-risk tailings pond in China, were carried out. The physical modelling experiment and the known consequences were successfully modeled and validated using the SPH method. This and the other experiments showed that the run-out tailings slurry would be tremendously destructive in the early stages of dam failure, and emergency response time would be extremely short if the dam collapses at its full designed capacity. The results could provide evidence for disaster prevention and mitigation engineering, emergency management plan optimization, and the development of more responsible site plans and sustainable site designs. However, improvements such as rheological model selection, terrain data quality, computing efficiency and land surface roughness need to be made for future studies. SPH numerical modelling is a powerful and advanced technique that is recommended for hazard assessment and the sustainable design of tailings dam facilities globally.

Study of Fuzzy Random Reliability Model of Tailings Dam under Earthquake Action

2010 ◽  
Vol 44-47 ◽  
pp. 3393-3397
Author(s):  
Fei Yue Wang ◽  
Long Jun Dong ◽  
Zhi Sheng Xu
Keyword(s):  
Zero Point ◽  
Reliability Theory ◽  
Dam Failure ◽  
Tailings Dam ◽  
Tailing Dam ◽  
Calculation Results ◽  
Earthquake Action ◽  
The Stability ◽  
Fuzzy Random

Two kinds of the deficiencies exist in the traditional dam reliability and the safety coefficient calculation methods. First, it is impossible to give accurate mean to design variable in case study, because to large extent, means are greatly influenced by many objective factors or man-made effects, which degree of effects has greater degree of ambiguity. Second, the traditional reliability theory takes zero point as measure of dam’s failure or not, and on both sides of zero point the structure of state mutants from security to failure. But in fact, it’s very hard to give a definite limitation to the dam state from security to failure, because a fuzzy scope exists between stability and failure. On the basis of solving the above two issues, this paper for the first time applies fuzzy reliability theory to the stability research of tailings dam under earthquake action , considering fuzziness of both the event of tailings dam failure and the main variables and parameter. Integrating fuzziness and randomness, this paper explores fuzzy random reliability analysis methods of tailings dam engineering. The results of case study show that the calculation results agree well with the actual situation, this analysis method is more scientific and reasonable than traditional dam safety factor calculation method, and better reflects the real situation. It also provides a new way to calculate stability of tailing dam considering earthquake action.

scholarly journals Overtopping Failure of a Reinforced Tailings Dam: Laboratory Investigation and Forecasting Model of Dam Failure

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 315 ◽  
Author(s):  
Xiaofei Jing ◽  
Yulong Chen ◽  
David Williams ◽  
Marcelo Serna ◽  
Hengwei Zheng
Keyword(s):  
Loss Rate ◽  
Dam Failure ◽  
Forecasting Model ◽  
Tailings Dam ◽  
Dam Breach ◽  
Loss Of Life ◽  
Physical Model Tests ◽  
Significant Damage ◽  
Overtopping Failure ◽  
Overtopping Erosion

Overtopping failure of reinforced tailings dam may cause significant damage to theenvironment and even loss of life. In order to investigate the feature of overtopping of the reinforcedtailings dam, which has rarely appeared in the literature, the displacement, the phreatic level and theinternal stress of dam during overtopping were measured by a series of physical model tests. Thisstudy conclusively showed that, as the number of reinforcement layers increased, the anti-erosioncapacity of tailings dam was notably improved. It could be supported by the change of the dimensionof dam breach, the reduction of stress loss rate, and the rise of phreatic level from the tests. Based onthe erosion principle, a mathematical model was proposed to predict the width of the tailings dambreach, considering the number of reinforcement layers. This research provided a framework for theexploration of the overtopping erosion of reinforced tailings dam, and all presented expressions couldbe applied to predict the development of breach during overtopping.

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