Assessment of the Physiochemical Characteristics of Water Samples from Vicinity Area of Wadafiae Landfill, Khartoum North, Sudan
Bibliographic record
Abstract
The rapid increase in population, urbanization, industrialization, and changes in consumption patterns have given rise to many environmental problems, which mainly include air, land, and water pollution. In Khartoum North, Khartoum State, Sudan, there was a lack of a compatible solid waste management system. These resulted in a decline in environmental health, and the majority of the yards were turned into dumps (kusha). The current study focused on the effects of uncontrolled dumping of municipal solid waste on groundwater, as well as assessing the risk of physiochemical concentrations in the water around the dumpsite and comparing the differences between the dry and rainy seasons in water samples at Wadafiea Dumpsite, Khartoum North, Sudan. Water parameters such as TSS, Cl⁻, TDS, Ca, Mg, SAR, and Na exceeded the controlled 1 (1.333) and 2 (1.332) levels of water and were within the Sudanese Maximum Values, the bounds of Canadian Guideline Values, and WHO Values.
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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".