Assessment of heavy metal contamination in surface sediments: Seasonal influence in the Majes-Camaná basin of the Arequipa region, Peru
Bibliographic record
Abstract
• Zn had the highest incidence: min 24.82 mg/kg, max 49.82 mg/kg during the rainy season. • PLI showed moderate contamination in the dry season: 1.012 vs 0.778 in rains. • Sediment pH ranged: min 7.36 (dry season), max 8.57 (rainy season). • Arsenic exceeded ISQG values at all points; PM-4 doubled the limit. • Mean hydraulic velocity varied: 285 m³/s (rains) and 23 m³/s (dry season). The conducted research aimed to identify the presence of environmental contamination by heavy metals in sediments in the Majes - Camaná basin in the Arequipa-Peru, using indicators such as the Geo-accumulation Index (I geo ) and the Pollution Load Index (PLI). A comparison was made with the values proposed by the Interim Freshwater Sediment Quality Guidelines (ISQGs) and Probable Effect Levels (PELs) from the Canadian Sediment Quality Guidelines for the Protection of Aquatic Life, allowing a quantitative evaluation of the environmental impact of 07 heavy metals (Zn, Cu, Cr, Ni, As, Pb, and Cd) along the study points, and to distinguish the possible sources of contamination using box and whisker concentration profiles, mining registries, and vegetation cover by anthropogenic activities. The results from the 07 sampling points indicated significant variation in physicochemical properties, including pH values, conductivity, salinity percentage, Total Dissolved Solids (TDS), and Dissolved Oxygen (DO) between flood and low-water seasons. For ISQGs values, arsenic exceeded the concentration at all points, PM-01, PM-05, and PM-07 exceeded in cadmium, and PM-06 only in copper. There was a predominance of Zinc due to anthropogenic activities in both seasons. Additionally, the general behavior for both periods follow the order: Zn > Cu > Cr > Ni > As > Pb > Cd. Finally, there was no metal contamination with a PLI of 1.012 and 0.778 for low-water and flood seasons, respectively. For copper and chromium metals, light to moderate contamination was found according to I geo in the low-water season, while low metal concentrations were reported during the flood season. Additionally, biological indicators were evaluated, highlighting the presence of the Chironomidae family, which reflected the water quality in the Camaná River. This bioindicator scored 2 on the BMWP index, categorizing the water as of low quality, which evidences a significant influence of anthropogenic activities in the area.
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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 | 0.001 |
| 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".