Trend Analysis of Road Salt Impacts on Groundwater Salinity at a Long-term Monitoring Site
Bibliographic record
Abstract
This paper describes how a large amount of deicing salt is being applied each year on highways in North America in order to keep roads passable and safe. There have been concerns about the potential for the salt migrating downward to contaminate groundwater quality. The University of Regina and Saskatchewan Highways and Transportation have conducted a long term salt impact monitoring study on a section of highway near Regina, Saskatchewan. This paper presents the groundwater portion of this long-term monitoring study on the environmental impacts of road salt. Salt concentration data from three monitoring wells beside the highway section are presented for initial analysis, and the data from one well is analyzed to detect trends using non-parametric statistical approaches. The statistical tests show that chloride concentration has a significant upward trend with an increase of 0.2 mg/L per year at the significance level of 0.05 over more than ten years monitoring period. However, no significant upward trend is found for sodium concentration data at the same significance level.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.003 | 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 teacher head, 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".