Modeling the response of a shallow alluvial aquifer to impacts of climate variability and anthropogenic water withdrawal in northwestern Oklahoma.
Bibliographic record
Abstract
Alluvial aquifers are the most reliable sources of water for human consumptive uses and for sustaining riparian ecosystems in semiarid environments. Regardless, very little is known about their dynamics relative to bedrock aquifers. For example, it is not entirely clear how alluvial aquifers respond to impacts of climate variability and change. Similarly, the question about how pumping these aquifers impact stream-aquifer interactions has not been fully explored. This dissertation explores the dynamics within the alluvium and terrace (A&T) aquifer of the Beaver-North Canadian River (BNCR) in semiarid northwestern Oklahoma. The study includes three self-contained but related studies; (1) an analysis of northwestern Oklahoma precipitation and streamflow time-series for trends and periodicities; (2) an investigation of the impacts of groundwater pumping on stream-aquifer interactions within the alluvial basin, and (3) a numerical simulation of the response of the alluvial aquifer to various scenarios of climate variability and anthropogenic groundwater pumping. The numerical simulation is accomplished using a three-dimensional groundwater flow model, MODFLOW.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".