Assessment of the Lead Release from Cables Buried in Sediments into the Water Column
Bibliographic record
Abstract
The study investigates the change in the water column quality in a situation where submarine communication cables cross the water bodies. In spite of precautions in technological achievements it is possible that these cables can be subjected to potential corrosion processes. This study was performed for a particular area of the St. Lawrence River. The impact of cables buried in sediments on lead speciation in the water column was shown under different conditions (anaerobic and aerobic, at different partial pressures of CO2, presence of organic acids). Equilibrium in the water was calculated taking into account gas, water and solid phases. Programs Equilibrium and EPH from FACT were utilized in this study to calculate Eh-pH diagrams and the equilibrium in water. The main form of lead was found to be PbOH+ (3.34×10-9 M/kg), the concentration of the free lead ion was two orders of magnitude lower (2.5×10-11 M/kg). The calculations, in which solid phases where considered, demonstrated that the water was oversaturated with respect to dolomite and iron(III) hydroxide. It was speculated that under these conditions dolomite could form a protective layer around the cable, which can delay the corrosion. Under anoxic conditions cerussite and lead sulfide precipitated. When PCO2 increased, the concentration of the free ion of lead increased.
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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) | 0.001 | 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".