Evaluation of Microbiological and Physicochemical Contamination of Groundwater in the Coastal Wetland of Pantanos de Villa (Lima‐Peru)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
(1) Background: Groundwater quality in tropical wetlands remains poorly studied. Los Pantanos de Villa, a key wetland located on Peru's desert coast, is recognized as a Protected Natural Area and a Ramsar site that faces ongoing threats. This study aimed to assess groundwater contamination in the wetland using microbiological (Escherichia coli, total and fecal coliforms) and physicochemical parameters, as well as water quality indices (WQIs); (2) Methods: In 2023 annual sampling was conducted at 12 locations (4 test pits and 8 piezometers), during the high recharge season (March) and low recharge season (September). Parameters were compared to national (Peru) and international (U.S.) standards. Two WQIs—the Canadian Council of the Ministry of the Environment (CCME) and the National Sanitation Foundation (NSF)—were applied; (3) Results: Microbiological contamination levels were dangerously high at all sampling sites. Physicochemical parameters exceeded permissible limits in at least one season. The CCME-WQI classified 100% of samples as having poor quality, and the NSF-WQI classified 75% as poor and 25% as medium quality; (4) Conclusions: Groundwater in the Pantanos de Villa wetland exceeds national and international contamination thresholds. Microbiological pollution is particularly concerning. WQIs confirm a degraded state.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it