Contaminant Movement Control from Al-Mishraq Extraction Area-Numerical Approach
Bibliographic record
Abstract
Al-Mishraq site was the title of many scientific types of research done due to its commercial, environmental, and groundwater pollution studies found that the pollution from the Al-Mishraq field hits soil and groundwater, eventually reaching the Tigris River.The process of hot water injection for sulfur extraction led to a change in the hydrological conditions of the area.The spread process of this water through the soil carries liquid dissolved sulfur towards the river that causes pollution of soil and river.The extent and concentration of dissolved sulfur were studied before and after proposed treatments.Also, the efficiency of these treatments would be estimated considering transport and diffusion theory in saturated/unsaturated states using the GEO-SLOPE software evaluating the extent of dissolved sulfur transfer through site soils in two cases.The first case represents the soil region without proposed treatments, and the second case represents the soil region with proposed treatments.The results show that a length of vertical barriers ranging between 180-200 m was efficient to prevent pollutants from moving.Also, the concentration and extent of contaminant spread in soil depended on the distance between vertical barriers and contamination source.Also, it found that at distances less than 300 m concentration of contaminant was high with a small range of soil, while at distances more than 300 m concentration of the contaminant was lower with a wider spread of soil.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 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".