Assessing the Impacts of Stormwater Runoff from I-59 to a Headwater Stream in Central Alabama
Bibliographic record
Abstract
Some studies have shown that stormwater runoff may have constituents that cause adverse impacts to aquatic ecosystems.Various related studies have focused either on characterizing the runoff directly generated on roads or on the effectiveness of various pollutant removal techniques.This work presents and discusses the results of an ongoing investigation on the impact of stormwater runoff from an interstate highway measured at a receiving stream.Water samples were collected at selected points and hydrological and water quality parameters were continuously monitored in selected stations.Quality parameters included nitrogen and phosphorus species, dissolved oxygen, total suspended solids and total solids, pH, turbidity, specific conductivity and temperature.Ongoing work attempts to establish a relationship between highway traffic, time between rain events, rainfall depth and changes in water quality parameters in the stream as a result of road runoff.The purpose of this study is to quantify and assess road impacts on a small Alabama watershed and how it differs from impacts caused by other land uses in watersheds, and whether traffic and the proximity of an interstate highway are related to such impacts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".