A HYDRO-SPATIAL HIERARCHICAL METHOD FOR SITING WATER HARVESTING RESERVOIRS IN DRY AREAS
Why this work is in the frame
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Bibliographic record
Abstract
Water availability is the main limiting factor in dry-land agriculture, throughout arid and semi-arid regions,due to low annual rainfall depth and its non-uniform temporal and spatial distribution. Water harvesting has been usedfor thousands of years to supplement scarce water resources in dry areas. Surface reservoirs are used to collect and storeprecipitation surface runoff so that stored water can be used for supplemental irrigation during long dry seasons. Thisarticle presents Hydro-Spatial AHP, a method for siting small water harvesting reservoirs. This method is used to rankpotential sites for such reservoirs based on a Reservoir Suitability Index (RSI) determined for each one of these sites. TheRSI is calculated using Geographic Information Systems (GIS) along with hydrologic modeling and the AnalyticHierarchy Process (AHP). This method was applied to Irsal, a dry-land agricultural region in Lebanon. Results revealthat Hydro-Spatial AHP works well in that area. The article also shows the flexibility of the method with respect to thecriteria used for ranking the candidate sites.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it