An empirical approach to predicting water quality in small streams of southern British Columbia using biogeoclimatic ecosystem classifications
Bibliographic record
Abstract
Water quality data from a synoptic survey of low-order streams (n = 581) were investigated as a function of the biogeoclimatic zone and moisture subzone groupings of the biogeoclimatic ecological classification (BEC) system. The potential utility of the BEC system as a watershed characterization tool was evaluated. The preliminary results were limited to streams sampled during June 1998 and 1999 over the large spatial scale of southern British Columbia. Significant differences (ρ < 0.05) were observed among biogeoclimatic zones and moisture subzones for specific conductance, turbidity, ph, and dissolved organic carbon (DOC) concentration. Our approach explained between 8 and 37% of the variation in water quality data, which could significantly reduce error in assessing water quality or investigating the effects of watershed activities among watersheds. The data provide a snapshot of water quality and identify areas that are likely to exceed water quality guidelines (ρ > 0.50). High proportions of low-order streams within the southern interior of British Columbia are likely to exceed water quality guidelines for turbidity and DOC content during a comparable sample period. Similarly, streams located in coastal areas of southern British Columbia exhibited ph values that were below the approved guideline of 6.5. Overall, the BEC system accounted for a significant amount of variation in water quality, suggesting that further development of this approach is warranted. The addition of other variables such as a history of land-use activities should be included, and data should be extended temporally to account for different flow regimes.
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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 | 0.002 | 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) | 0.000 | 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 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".