Impounded mine tailings: What are the failures telling us?*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the past 30 years, failures of mine tailing impoundments have occurred at relatively high rates, resulting in massive damage and severe economic impact to the worldwide mining industry. The rate of failure is about ten times that for conventional water retention dams. Tailings impoundments are some of the largest man-made structures, but the dams that impound tailings have only gained recognition as dams in the last few decades. This paper presented the basic features of a few case histories that provide valuable lessons to the industry. A database for tailing impoundment failures has been developed to help identify failure modes, failure impacts and failure frequency. Some clear trends emerged from this review and a better understanding of these trends can help enhance current and future design, construction and operational/closure stewardship of mine tailings facilities. This paper also summarized some of the recent initiatives by the mining industry and its regulators in helping to assure the safety of mine tailing. Many of these initiatives originated in Canada. In the past 10 years there has been a sharp increase in the amount of regulatory agencies that are setting prescriptive or rigid guidelines for tailings dams. The first step in evaluating the reasons for continued failures of mine tailings dams is to recognize the uniqueness of mine tailings facilities. The unique features include: (1) tailings impoundments are among the largest man-made structures in the world with several approaching 1 x 10{sup 9} t of stored slurried tailings, (2) tailings dams are built on a continuous basis by mine operators, and (3) tailings facilities are only a cost to the mining process. Unlike a hydroelectric dam, they do not generate a revenue stream. It was suggested that a combination of factors is responsible for the failure trends. Mining companies typically do not have in-house geotechnical expertise. Failures can have any or all of the following impacts: extended production interruption, environmental damage, damage to the industry's image, economic consequences to the industry, legal responsibility and loss of life. The author suggested that in order to make the lessons available from the tailings impoundment failure database as salient as possible, there should be some minimum expectations for the owners, designers, regulators and individuals involved in the tailings dam life cycle. 21 refs., 3 tabs., 1 fig.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it