Quasi-3D numerical simulation of salinity transport for reservoir initial impoundment
Bibliographic record
Abstract
In the special geological and water environment of estuarine reservoirs, salt water in the deposits will intrude into the overlying freshwater and affect the water quality and normal operation of the reservoir. It is, therefore, important to identify the spatial extent of salt. Based on site survey, drilling and laboratory data, a quasi-3D model was established, simulating the migration of salt in the initial impoundment of the reservoir. As a result, if the impoundment happened in the normal water year, when the water level rose to 0.5m, salinity ranged from 0.3g/L to 2.8g/L on the surface; at the level of 1.5m, salinity ranged from 0.3g/L to 1.3g/L; and at the level of 4.5m, salinity varied between 0.3g/L and 1.55g/L. This will lead to a better understanding of the implications of groundwater hydrology and improve protection of surface water quality during the extraction of water resources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".