Design of a Technical-Artisanal Dike for Surface Water Storage and Artificial Recharge of the Manglaralto Coastal Aquifer. Santa Elena Parish, Ecuador
Bibliographic record
Abstract
Manglaralto parish communities are supplied with drinking water extracted from shallow aquifers (associated with alluvial terraces) recharged by seasonal rivers. The companies responsible for extracting and distributing water are the Manglaralto Regional Drinking Water Administration Board (JAAPMAN, for its acronym in Spanish) and Olon Regional Board of Drinking Water (JRAPO, for its acronym in Spanish). However, due to population growth and tourism (floating population) of Manglaralto parish, water demand has increased. This has meant that, during the dry season, the water stored in these underground reservoirs is not enough to meet the growing demand. The case study presented is that of the Manglaralto community. The aim is to design, in a technical way, an artisanal dyke (tape) by performing geological-geotechnical studies that allow optimal surface storage and artificial recharge of aquifers for the provision of water to communities. The methodology is as follows: i) Analysis of the technical starting information, ii) Recognition of the study site and the choice of sampling sites, iii) Conducting laboratory tests and analysis of information obtained in the field, and iv) Technical design of the tape. According to laboratory results and the field data analysis, the design of a spillway dyke equipped with a dentellon was defined, which acts as a screen to block the subsurface flow. The rescue of ancestral knowledge, used as a solution to current problems in this coastal community, allows storing a volume of 4,641.88 m3 and an artificial recharge of 15%, with low costs and great social acceptance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".