The distribution and ecological risk of polycyclic aromatic hydrocarbons of surface sediments in the intertidal zone of Bohai Bay,China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
86 surface sediment samples were collected from the intertidal zone of Bohai Bay,adjacent main rivers and offshore area,and were analyzed for 16 priority polycyclic aromatic hydrocarbons(PAHs) by GC/MS.The average PAHs concentration of surface sediment samples in the intertidal zone of Bohai Bay was(140.0±84.1)ng/g(n=44),which was close to the value from offshore samples [(161.6±38.7)ng/g,n=26],but significantly lower than that in the samples from main rivers [(452.7±206.0)ng/g,n=13].Distinct spatial pattern of PAHs concentrations could be seen with higher in the north while lower in the south(divided by Tianjin Port) in the intertidal zone,which significantly related to the sediment granularity and the concentrations of black carbon(BC) and total organic carbon(TOC).Variation of percentage of low-molecule-weight PAHs in the intertidal zone demonstrated its special sedimentary environment.Average of BaP-equivalent carcinogenic concentrations was(24.5±21.1)ng/g in the intertidal zone sediments.Risk assessment by the criteria for marine sediment quality of Quebec,Canada suggested that there have been some ecological risk in the intertidal zone of Bohai Bay based on PAHs concentration in the surface sediment samples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it