Determinación de la calidad de agua por bioindicadores (Macroinvertebrados) – en el río Illuchi – para el planteamiento de una propuesta de manejo de recurso hídrico- Latacunga provincia de Cotopaxi – período abril- agosto 2023.
Bibliographic record
Abstract
The objective of this research work is to evaluate the environmental quality of the water of the Illuchi river through bioindicators in the upper, middle and lower part. For this, the physical-chemical analysis was first determined with the Canadian water quality index method (ICA CANADA); at three points established according to their characteristics and anthropic activities, corresponding to the Illagua community (P1), Ignacio Flores Parish (P2) and Belisario Quevedo (P3). In a period of three weeks between the months of May and June, samplings were carried out to analyze the physicochemical parameters. As a result of the study of the 9 selected parameters (pH, temperature, DO, electrical conductivity, nitrates, chromium, COD, calcium and magnesium), it was observed that the water quality index (ICA) in the first two points its quality is good and in the last sampling point it is regular, likewise each parameter was related to the maximum permissible limits of the TULSMA standard of the Ministerial Agreement 097 A, for aquatic and wildlife life and irrigation for agriculture. For macroinvertebrates, a total of 856 individuals of 12 different species were obtained. Where the most abundant classes correspond to OLIGOCHAETA and INSECTA, these individuals were evaluated using the Biological Monitoring Working Party (BMWP), Andean Biotic Index (ABI), Ephemeroptera, Plecoptera, Triichoptera (EPT) and Shannon Weaver methods. According to the BMWP/col index, the quality of the river varies between doubtful and critical, likewise the ABI and EPT indices released a result from fair to bad, being classified as low diversity in the Shannon Weaver index with values between 1 and 2. Then Having carried out these analyzes, an Ishikawa diagram was generated, where the different causes and effects that alter the river in a negative way were determined, finally a table of proposals was made that focused on the most important aspects that contaminate the river, being These are the agricultural and livestock activities and the waste residues that exist in the adjacent areas of the water resource.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".