Evaluation of water quality of Kosynthos river in North Greece, using Water Quality Indices
Bibliographic record
Abstract
The water quality of Kosynthos river, located in Xanthi Prefecture, Northern Greece, was evaluated using Water Quality Indices (WQIs). A water quantity and quality monitoring program was undertaken from December 2016 to November 2017 on a weekly basis at four stations along the main course of Kosynthos river and its main tributary. Discharge, temperature (T), dissolved oxygen (DO), pH and electrical conductivity (EC) were measured in situ. Moreover, water samples were collected and analyzed for the determination of biochemical oxygen demand (BOD5), chemical oxygen demand (COD), total suspended solids (TSS), total phosphorus (TP), and ammonium nitrogen (NH4-N), according to the standard methods. Anions (i.e., SO4-2, Cl-), NO3-N, NO2-N, and cations (i.e., Na+, K+, Mg+2, Ca+2) were determined using ion chromatography. The applied WQIs were the Canadian Council of Ministers of Environment (CCME) WQI, the Oregon WQI, the National Sanitation Foundation (NSF) WQI and the Prati’s Index of Pollution. According to the CCME, NSF and Prati’s WQIs the water quality of Kosynthos river for both monitoring periods was classified in the higher quality classes, while according to the Oregon WQI it was classified in the lowest quality class.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".