Conceptual hydrogeological model for a landfill in a floodplain environment: case study of the JV Industries and Fairway Landfill, Shxwhá:y Village First Nation, Chilliwack, B.C.
Bibliographic record
Abstract
The characteristics of floodplains of major rivers are of interest to many shoreline communities due to issues related to flooding, water demand, and land use. Studies of the hydrogeological conditions within these environments can improve our understanding of these settings. The case study of the JV Industries and Fairway Landfill, located within the floodplain of the Fraser River, highlights the complex groundwater flow dynamics in such an environment. In particular, the study examined the potential for substantial changes to both groundwater flow and groundwater quality during or immediately following the spring freshet due to the presence of permeable, extensive, and hydraulically well-connected floodplain deposits. During spring and early summer, groundwater flow across the landfill is controlled primarily by the Fraser River freshet and the direction of flow varies spatially across the site. During the winter, groundwater flow is controlled primarily by regional topography and is directed to the southwest towards the nearest topographic depression, the remnant Coco-oppelo Slough. In the intervening months, the flow directions are transitional between the winter and spring – early summer flow patterns. The changes in the groundwater flow patterns were inferred to temporally affect the groundwater quality downgradient of the landfill.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".