The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
The environmental impacts of one of the largest tailing dam failures worldwide
Open accessAbstract
The impacts of the SAMARCO iron tailing spill along more than 650 km, between the dam and the plume of the Doce River in the Atlantic, were assessed by the determination of toxic metals. The tailing spill caused a substantial increase in suspended sediment loads (up to 33,000 mg L−1), in addition to large depositions of waste along the Doce basin. The highest estimated transport of dissolved metals was observed for Fe (58.8 μg s−1), Ba (37.9 μg s−1) and Al (25.0 μg s−1). Sediments reached the highest enrichment factors (EFs) for Hg (4,234), Co (133), Fe (43), and Ni (16), whereas As (55), Ba (64), Cr (16), Cu (17), Mn (41), Pb (38) and Zn (82) highest EFs were observed for suspended particulate matter (SPM). Iron, As, Hg, Mn exceeded sediment quality guidelines. Therefore, the risk of occurrence of adverse effects is highly possible, not only due to the dam failure, but also due to the Fe mining and the artisan Au mining. Heavy rain episodes will likely cause enhanced erosion, remobilization, and transport of contaminated particles, sustaining high inputs of SPM and metals for the years to come and threatening the ecosystem services.
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(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.004 · Cited by 23,880
Metal Pollution in the Aquatic Environment
Förstner, U., & Wittmann, G. T. W. (1979) · Springer eBooks · doi:10.1007/978-3-642-96511-1 · Cited by 3,206
Acidic mine drainage: the rate-determining step
Singer, P. C., & Stumm, W. (1970) · Science · doi:10.1126/science.167.3921.1121 · Cited by 1,757
Bryan, G. W., & Langston, W. J. (1992) · Environmental Pollution · doi:10.1016/0269-7491(92)90099-v · Cited by 1,493
Manual for the geochemical analyses of marine sediments and suspended particulate matter
Loring, D. H., & Rantala, R. T. T. (1992) · Earth-Science Reviews · doi:10.1016/0012-8252(92)90001-a · Cited by 1,479
River Discharge to the Coastal Ocean: A Global Synthesis
Milliman, J. D., & Farnsworth, K. L. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511781247 · Cited by 921
The mine tailing accident in Aznalcollar
Grimalt, J. O., Ferrer, M., & Macpherson, E. (1999) · Science of The Total Environment · doi:10.1016/s0048-9697(99)00372-1 · Cited by 448
NOAA Screening Quick Reference Tables
Buchman, M. F. (1999) · Cited by 377
Honeyman, B. D., & Santschi, P. H. (1988) · Environmental Science & Technology · doi:10.1021/es00173a002 · Cited by 376
Stochastic forcing of sediment routing and storage in channel networks
Benda, L., & Dunne, T. (1997) · Water Resources Research · doi:10.1029/97wr02387 · Cited by 367
Cited by
Palansooriya, K. N., Shaheen, S. M., Chen, S. S., Tsang, D. C. W., Hashimoto, Y., Hou, D., Bolan, N. S., Rinklebe, J., & Ok, Y. S. (2020) · Environment International · doi:10.1016/j.envint.2019.105046 · Cited by 1,272
Barletta, M., Lima, A. R. A., & Costa, M. F. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.09.276 · Cited by 425
The Samarco mine tailing disaster: A possible time-bomb for heavy metals contamination?
Queiroz, H. M., Nóbrega, G. N., Ferreira, T. O., Almeida, L. S., Romero, T. B., Santaella, S. T., Bernardino, A. F., & Otero, X. L. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.04.370 · Cited by 294
Metadata
- Authors
- Hatje, V., Pedreira, R. M. A., de Rezende, C. E., Schettini, C. A. F., de Souza, G. C., Marin, D. C., & Hackspacher, P. C.
- Venue
- Scientific Reports
- Published
- 2017-09-06
- Volume
- 7
- Issue
- 1
- Pages
- 10706-10706
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2751919366
- Cited by
- 444
- References
- 28
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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