The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Catastrophic tailings dam failures and disaster risk disclosure
Open accessAbstract
The global mining industry produces billions of tonnes of mine tailings each year. This slurry of waste material is often contained in dams, which are among some of the world’s largest engineered structures. Several recent and catastrophic tailings dam disasters bring the complex interaction between a mine and its local operating context into plain sight. The absence of public, timely, multi-scalar information about the multiple dimensions of this interaction is a normalised feature in the management of tailings dams. This article highlights the importance of establishing and sharing diverse knowledge about tailings dam disaster risk. We argue that the assessment and disclosure of “situated” disaster risk ought to be prioritised; that is, the combined risk of a hazard bearing structure situated within a local context with inherent vulnerabilities. We present a method for examining situated disaster risk of tailings dams by utilising Environmental, Social and Governance (ESG) indicators to screen for risk across eight categories: waste, water, biodiversity, land uses, indigenous peoples’ lands, social vulnerability, political fragility, and approval and permitting. Applied to a global sample of operating mines, the method shows disaster risk potential of existing tailings dams globally. Future application could be used to generate a more complete inventory that includes both established and newly constructed facilities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
A Social Vulnerability Index for Disaster Management
Flanagan, B. E., Gregory, E. W., Hallisey, E. J., Heitgerd, J. L., & Lewis, B. (2011) · Journal of Homeland Security and Emergency Management · doi:10.2202/1547-7355.1792 · Cited by 1,860
A spatial overview of the global importance of Indigenous lands for conservation
Garnett, S. T., Burgess, N. D., Fa, J. E., Fernández-Llamazares, Á., Molnár, Z., Robinson, C. J., Watson, J. E. M., Zander, K. K., Austin, B., Brondizio, E. S., et al. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0100-6 · Cited by 1,447
Mine tailings dams: Characteristics, failure, environmental impacts, and remediation
Kossoff, D., Dubbin, W. E., Alfredsson, M., Edwards, S. J., Macklin, M. G., & Hudson-Edwards, K. A. (2014) · Applied Geochemistry · doi:10.1016/j.apgeochem.2014.09.010 · Cited by 914
A suite of global, cross-scale topographic variables for environmental and biodiversity modeling
Amatulli, G., Domisch, S., Tuanmu, M.-N., Parmentier, B., Ranipeta, A., Malczyk, J., & Jetz, W. (2018) · Scientific Data · doi:10.1038/sdata.2018.40 · Cited by 887
Global terrestrial Human Footprint maps for 1993 and 2009
Venter, O., Sanderson, E. W., Magrach, A., Allan, J. R., Beher, J., Jones, K. R., Possingham, H. P., Laurance, W. F., Wood, P., Fekete, B. M., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.67 · Cited by 837
ANTHROPOLOGICAL RESEARCH ON HAZARDS AND DISASTERS
Oliver-Smith, A. (1996) · Annual Review of Anthropology · doi:10.1146/annurev.anthro.25.1.303 · Cited by 814
A framework for a sustainable approach to mine tailings management: disposal strategies
Adiansyah, J. S., Rosano, M., Vink, S., & Keir, G. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.07.139 · Cited by 438
Deep into the mud: ecological and socio-economic impacts of the dam breach in Mariana, Brazil
Fernandes, G. W., Goulart, F. F., Ranieri, B. D., Coelho, M. S., Dales, K., Boesche, N., Bustamante, M., Carvalho, F. A., Carvalho, D. C., Dirzo, R., et al. (2016) · Natureza & Conservação · doi:10.1016/j.ncon.2016.10.003 · Cited by 402
Global trends in gold mining: Towards quantifying environmental and resource sustainability
Mudd, G. M. (2007) · Resources Policy · doi:10.1016/j.resourpol.2007.05.002 · Cited by 342
Cited by
Energy transition minerals and their intersection with land-connected peoples
Owen, J. R., Kemp, D., Lechner, A. M., Harris, J., Zhang, R., & Lèbre, É. (2022) · Nature Sustainability · doi:10.1038/s41893-022-00994-6 · Cited by 305
Self-citationWolters, L., & Brusselaers, J. (2024) · The Extractive Industries and Society · doi:10.1016/j.exis.2024.101498 · Cited by 16
Metadata
- Authors
- Owen, J. R., Kemp, D., Lèbre, É., Svobodova, K., & Pérez Murillo, G.
- Venue
- International Journal of Disaster Risk Reduction
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 42
- Pages
- 101361
- ISSN
- 2212-4209 (ISSN-L)
- OpenAlex
- W2979889172
- Cited by
- 319
- References
- 15
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Catastrophic tailings dam failures and disaster risk disclosure. https://app.cochat.ai/papers/10.1016/j.ijdrr.2019.101361
- The paper
- Owen, J. R., Kemp, D., Lèbre, É., Svobodova, K., & Pérez Murillo, G. (2020). Catastrophic tailings dam failures and disaster risk disclosure. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2019.101361
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
