Temporal-Spatial Characteristics of Volatile Organic Compounds (VOCs) near Petrochemical Industrial Complex using PTR-ToF-MS
Bibliographic record
Abstract
Abstract Petrochemical complexes cause local air pollution and deteriorate the health of local residents by emitting a variety of volatile organic compounds (VOCs). This study used a real-time analysis system to check the spatiotemporal distribution of pollutants discharged from petrochemical complexes. The proton transfer reaction time of a flight mass spectrometer (PTR-ToF-MS) was used as the measurement system. We performed measurements from July 21 to 26, 2021, mobile observations from July 21 to 22, 2021 and fixed observations from July 23 to 26, 2021. Meteorological analysis indicated that the prevailing wind direction was northwesterly, and pollutants discharged from industrial complexes in upwind regions have a high impact on villages in downwind regions. Mobile observation confirmed high concentrations in the section with the village hall, raw petroleum storage, landfill, and petrochemical production process. Methanol and acetone were in high concentrations at all times, and the concentrations of acetaldehyde, acetone, acetic acid, methylethyl ketone, and toluene increased once the production process started. The concentrations of benzene, known carcinogens, were particularly high, at times exceeding the acceptable threshold, indicating the need for improvement measures in the future.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".