Investigation,assessment and source analysis of polycyclic aromatic hydrocarbons(PAHs) pollution in soil from a larg iron and steel plant and its surrounding areas,in China
Bibliographic record
Abstract
Sixteen polycyclic aromatic hydrocarbons(PAHs) in 11 surface soil samples from an iron and steel plant in northeast of China and its surrounding areas,including residential and scenic areas,were analyzed by GC-MS(Gas Chromatography-Mass Spectrometry).The concentrations of ∑PAHs were 3.39×103—1.54×105 ng·g-1 with a mean of 3.21×104 ng·g-1 in the iron and steel industrial park,587—6.70×103 ng·g-1 with a mean of 3.82×103 ng·g-1 in the surrounding residential area,and 385 ng·g-1 in the scenic.The concentrations of ∑PAHs and Bap in the industrial areas were the highest,followed by the residential area.Compared with other studies,the soils in the iron and steel industrial plant and its surrounding residential area were heavily polluted by PAHs.Nine of total 11 soil samples showed serious contamination by PAHs.Moreover,Bap concentrations in 4 samples exceeded the limit of Canada Soil Quality standard.Source analysis was performed using Diagnostic Rate and Principal Component Analysis(PCA) methods.The results showed that coal and diesel combustion contributed to PAHs pollution in the iron and steel industrial park.Moreover,vehicle gasoline and diesel emission was another important source of PAHs pollution in the surrounding area along with industrial emission.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".