Interactions Between Regional Climate, Surficial Geology, and Topography: Characterizing Shallow Groundwater Systems in Subhumid, Low‐Relief Landscapes
Bibliographic record
Abstract
Abstract The Boreal Plains region of Canada is characterized by low relief, heterogeneous glacial landforms, and a subhumid climate, which result in complex and spatially variable groundwater‐surface water interactions. We test the influence of, and interactions between, short‐term climate variations, glacial deposit types, and topography on water table position and groundwater flow in a region with a subhumid long‐term climate. To do so, we evaluated water table positions, vertical hydraulic gradients, geochemistry, and stable water isotope signatures over a 19‐year period (including wet and dry climate states) along a 70‐km transect. The transect spans topographic positions on three hydrological response areas that comprise the major glacial depositional types typical of the Boreal Plains. High spatiotemporal variability of water table fluctuations and responses to climate signals illustrate the strong spatially variable controls that surficial geology, climate, and topography exert over scales of groundwater flow within and between glacial landforms across the Boreal Plains. Water tables were determined to be recharge controlled in the hummocky moraine and coarse outwash and topography controlled in the clay plain. Chemoscapes and isoscapes help delineate areas with characteristic water storage and transmission properties, which in turn control scales of groundwater flow and hydrologic responses to climate. Understanding the natural spatial and temporal variability of, and controls on, water table position, groundwater movement, and water quality under varying physical and climatic scenarios is important, as water security, ecosystem sustainability, and environmental quality become the focus of land management and reclamation efforts.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".