Evaluation of the physical and chemical quality and trace elements of water in Cupatitzio River, Michoacán
Bibliographic record
Abstract
In Mexico, around 90 % of the rivers are polluted mainly from wastewater resulting in human health issues. This work is aimed at determining the water quality of Cupatitzio River; 20 sampling sites (SS) were determined in rainy (August 2016) and dry (May 2017) seasons; 31 trace elements (TE) were obtained and 15 physicochemical parameters; three quality indices were calculated: Water Quality Index (WQI), Pollution Index (IC) and the Canadian Council of Ministers of the Environment, Water Quality Index (CCMEWQI). Statistical analysis was conducted to associate variables. Results show for the rainy season, the quality indices indicates that the worst quality is found in the middle watershed due to the wastewater and leachate from a landfill; in the dry season, low quality reaches the low watershed. High concentrations of Fe, Al and P trace elements are found in the middle and lower watershed. It is worth mentioning that they may be associated with the pesticides used in avocado orchards. Finally, analyses show an association between poor quality, low dissolved oxygen and the presence of reservoirs. Therefore, the river water is not fit for human use and consumption.
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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) | 0.000 | 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".