Rehabilitation of Former Uranium Mining and Milling Sites in Germany (WISMUT Sites) - A Health Physicists Perspective - 10091
Bibliographic record
Abstract
Radioactively contaminated mining sites are characterised on the one hand by low levels of radioactivity in the residues and environmental media (LLW - Low Level Waste), and on the other hand by big amounts of contaminated material as well as by large areas of contaminated land. Within the WISMUT Project, dedicated to rehabilitate the legacy of the East German uranium industry, proper management of LLW, radiation protection of involved workers and the local public, and radioecological issues are key elements. Unlike most uranium mining and milling operations in Canada, the United States and Australia, WISMUT’s mining and processing facilities were located in a densely populated area. As a consequence, contaminated objects like radioactive waste piles and tailings management facilities were placed close to residential areas, in some cases immediately neighbouring dwellings. The resulting exposure situation required remedial measures which are far from standard solutions. Rehabilitation of uranium mining legacies in East Germany has been going on for almost two decades now. The WISMUT Project is in an advanced state. Remediation accomplishments achieved are reflected in the positive development of radiological parameters. Due to the progress in covering waste rock piles and tailings management facilities, the advanced area cleanup as well as to the high level of treatment of contaminated seepage waters, the exposure pathways of dust inhalation, direct access to contaminated material and water usage are no longer of relevance for radiation protection. Except for a few locally elevated radon concentrations at the Schlema site, there is general compliance with radiological remediation targets established at the time when remediation started. From a radiation protection point of view, long-term remediation efforts will focus on mitigation of mine flooding related impacts and the minimisation of mid-term diffuse radiological groundwater impacts at tailings management facilities.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".