Distribution of heavy metals among surface water,suspended solids and surface sediments in Hengyang section of Xiangjiang River
Bibliographic record
Abstract
The contents and distribution features of heavy metals in the surface water,suspended solids,surface sediments and pore water in Hengyang section of Xiangjiang River were studied by ICP-MS.The results showed Cd was the most polluted heavy metals in Hengyang section of Xiangjiang River.The concentration of Cd in surface water was 0.26 μg · L-1,which exceeded its Criteria Continuous Concentration(US Water Quality Criteria,EPA 2009) and might have potential toxic effect on several aquatic organisms.The average concentrations of Cd in suspended solids and surface sediments were 42.03 μg · g-1 and 29.62 μg · g-1 respectively,which were 70 times and 50 times the Threshold Effect Level(Canada Sediment Quality Guideline).The average concentration of Cd in pore water was 3.8 μg · L-1,which was 15 times the CCC and even higher than Criteria Maximμm Concentration(CMC) and might have acute toxic effect on several aquatic organisms.Heavy metal in the middle and lower reaches of Xiangjiang River in Hengyang section had a notably higher concentration than the upper reaches,especially in Shui Koushan section where many pollution-discharging enterprises were distributed.This showed that anthropogenic input had become an important source of heavy metals in Xiangjiang River.Results of this study also showed that suspended solids and sediments played a key role in the transport,sedimentation,transformation and bioaccumulation in aquatic environment as the main accumulated media.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".