Stable lead isotope characteristics of lead ore deposits of environmental significance
Bibliographic record
Abstract
Stable Pb isotopes are increasingly used in environmental science as tracers of natural and anthropogenic Pb sources. This review provides a summary of the recent geological literature concerning Pb isotopes in global Pb ore deposits. The isotopic characteristics of 151 Pb deposits, including 78 20th-century producing mines, have been summarized using the 204Pb-based ratios common to geological science and the 206Pb- and 207Pb-based ratios (i.e., excluding 204Pb) more often employed in environmental studies. A number of current mines, including those exploiting several Australian, Scandinavian, and U.S.A. deposits, have extreme isotopic compositions that provide unique signatures. However, a majority of mines (and unproductive deposits) fall within a relatively narrow range:206Pb/207Pb of 1.15-1.22 and 208Pb/207Pb of 2.42-2.50. In some contexts, unequivocal identification of a source exhibiting one of these common signatures would be difficult, especially with the relatively low precision (ca. 0.2-0.5% RSD) of quadrupole inductively coupled plasma - mass spectrometry (ICP-MS) which has been the most common instrument for environmental Pb isotope measurements. In settings with disparate industrial and natural Pb signatures (i.e., sources withisotopic ratios differing by about 2% or more), ICP-MS precision is adequate for source discrimination. Statistical analyses suggested that while 204Pb is critical for identifying a small proportion of environmental Pb sources, about 86% of the source discrimination power is due to the 206Pb, 207Pb, and 208Pb isotopes. Thus, the requisite analytical precision, rather than a lack of 204Pb data, is the most critical issue with respect to unequivocal identification of Pb sources in most cases. Several factors, especially the increasing dominance of recycling in global Pb production and the international transportation of ore concentrate and refined Pb, may cause unpredictable changes in the isotopic signatures of industrial sources,with a long-term trend towards homogenization. More frequent,comprehensive, and high-precision isotopic characterization of possible point and non-point Pb emitters such as gasoline, smelters, and battery-recycling plants, together with increased efforts to document the origin of constituent leads in industrial sources, would help to address these concerns.Key words: lead isotopes; lead pollution; source identification; lead ore deposits.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".