Hydrochemical characteristics and water quality assessment of surface water in the northeast Tibetan Plateau of China
Bibliographic record
Abstract
Abstract The Tibetan Plateau is very important as it provides water resources for about 40% of the world's population and the runoff-yield area of the Yellow rivers. In this paper, the water quality in Xiahe County, located in the northeast Tibetan Plateau, was investigated. Six parameters (chloride, chemical oxygen demand, ammonia nitrogen, nitrate, fluoride, sulfate) were selected to assess the quality and health status of surface water in Xiahe County. The main types of hydrochemical in the surface water were considered to be Mg2+-Ca2+-HCO3−-Cl− and Mg2+-Ca2+-HCO3−. The cations and anions were mainly from weathering and dissolution of carbonate rock. Fuzzy comprehensive evaluation (FCE) results showed that the water quality in all 69 sampling sites was all class I. The integrated health status was higher than 0.95 and the health rate was 100%. Although ammonia nitrogen was recognized as the main contaminant, it had little effect on the entire body of water. Overall, the surface water qualities of most samples in Xiahe County were found to be in good condition.
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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 | 0.001 | 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) | 0.000 | 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".