Co-Precipitation of Trace Metals in Groundwater & Vadose Zone Calcite: In Situ Containment & Stabilization of Strontium-90 & Other Divalent Metals & Radionuclid
Bibliographic record
Abstract
A suite of experiments were performed to investigate the partitioning of Sr2+ (to mimic the radionuclide 90Sr) between calcite and artificial groundwater in response to the hydrolysis of urea by Bacillus pasteurii under conditions that simulate in-situ aquifer conditions. Experiments were performed at 10, 15 and 20 C over 7 days in microcosms inoculated with B. pasteurii ATCC 11859 and containing an artificial groundwater and urea (AGW), and an AGW including a Sr contaminant treatment. During the experiments ammonium concentration from bacterial urea hydrolysis increased asymptotically, and derived rate constants (kurea) that were between 13 and 10 times greater at 20 C, than at 15 and 10 C. Calcite precipitation was initiated after similar amounts of urea had been hydrolysed ({approx} 4.0 mmoles L-1) and a similar critical saturation state (mean Scritical = 53, variation = 20%) had been reached, independent of temperature and Sr treatment. Because of the positive relationship between urea hydrolysis rate and temperature, precipitation began by the end of day 1 at 20 C, and between days 1 and 2 at 15 and 10 C. The rate of calcite precipitation increased with, and was fundamentally controlled by S, irrespective of temperature, which connects the dissimilar patterns of urea hydrolysis and dissolved concentrations which are exhibited at the different experiments. The presence of Sr slightly slowed calcite precipitation rates at equivalent values of S, which may reflect the screening of active nucleation and crystal growth sites by Sr. Instantaneous heterogeneous partitioning coefficients (DSr) exhibited a positive association with calcite precipitation rates, but were greater at higher experimental temperatures at equivalent precipitation rates (20 C mean = 0.46; 15 C mean = 0.24; 10 C mean = 0.29). This is likely to reflect the large ionic radius of the Sr ion, which cannot fully co-ordinate relative to ions smaller than Ca at equilibrium conditions, but i s increasingly co-precipitated as all ions are indiscriminately incorporated at higher precipitation rates. The temperature dependence is likely to reflect the higher miscibility of ions in minerals, commonly observed in geochemical systems at higher temperatures.
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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 | 0.000 |
| 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 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".