Monitoring Study of the Effect of Atyrau Evaporation Fields on the Content of Hydrogen Sulfide in the Air
Bibliographic record
Abstract
In this article, a monitoring study was conducted on the content of hydrogen sulfide in the air of the city of Atyrau, the exceeded content of which is associated with reclamation work in the evaporation fields, where industrial wastewater from the Atyrau oil refinery and household water from all over the city have been drained for decades. Monitoring was carried out for the period from September 2021 to June 2022 on 15 observation points recorded by the Republican State Enterprise "Kazhydromet" through the mobile application “Air Kz". The measurements were carried out by the GANK-4AR gas analyzer. The data were analyzed taking into account the maximum permissible concentrations, the repeatability of concentrations of impurities in the atmosphere, the standard index, taking into account the average sample values of hydrogen sulfide content at 10 points out of 15, where increased hydrogen sulfide content was noted. Of the remaining these 10 points, the highest value was noted in the Drag and drop AOR (Atyrau Oil Refinery) point, the hydrogen sulfide content in which, according to the average maximum values, exceeded more than 36.5 MPC (maximum permissible concentration). In general, by month, we note that high values for the average values of the maximum hydrogen sulfide indicators were noted in September, April and June months. Especially strong increase is characterized during warm periods in industrial areas and residential areas as NCOC No. 109 (Vostok), NCOC No. 110 (Privokzalny), NCOC No. 112 (Akimat), NCOC No. 111 (Zhilgorodok), NCOC No. 113 (Avangard) and NCOC No. 114 (Zagorodnaya) points.
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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 | 0.001 | 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 | 0.000 |
| 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".