Nonpoint pollutant load in water and sediment in a sub-basin of the Cadena Creek - Santa Maria/RS
Bibliographic record
Abstract
Economic development and growth of productive activities have been accelerating the degradation of water resources. This research aimed to evaluate the pollutant loads in surface waters and in sediments conveyed by urban drainage systems in a tributary of the Cadena creek in the municipality of Santa Maria-RS. A number of factors may interfere with the water pollution, such as precipitation, stream flow, use and occupation of the land area of the basin, and dry period prior to the event. Results showed that the mean concentration of events presented a variability related to precipitation and precipitation intensity. The average concentration of pollutants in the events tended to increase with the precipitation and precipitation intensity. The prior dry period was significantly correlated with the heavy metals copper and nickel. Diffuse load obtained for total suspended solids, BOD and total coliform organisms was 28.812 kg/ha/year, 3.225 kg/ha/year and 5,03E+07 organisms/ha/year, respectively. The curves M(V) along with the curves of maximum divergence evidenced the variability of the first flush and the differences between the events and parameters. The difference in the pollutant load is due to the high degradation process because of anthropogenic activities, such as urbanization and launch of domestic wastewater. Concentrations of heavy metals in bottom and suspended sediments were below the limit established by CONAMA Resolution 454/12 and the guidelines of the sediments of the Environment Institute of Canada. The bed material of the Cancela-Tamandaí creek is sandy with a predominance of coarse and medium sand.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".