Vertical Distribution Characteristics of Nutritive Salt and Chlorophyll a in Xiaojiang Backwater Area During Different Regulation Period of Three Gorges Reservoir
Bibliographic record
Abstract
The nutritive salt and chlorophyll a content in different water layers of Gaoyangping Lake in Xiaojiang backwater area was monitored from April,2013 to December,2013 to discuss vertical dynamic and correlation of nutritive salt and chlorophyll a in Xiaojiang backwater area under water level regulation of Three Gorges Reservoir.The results showed that the distribution feature of nutritive salt and chlorophyll a is influenced by water level regulation significantly.Chlorophyll a in surface water layer appears at peak values during water release and water storage process and severe Cyanobacterial bloom breaks out at first peak value.Chlorophyll a content in middle water layer is higher during the low water level period.Time-varying nutritive salt accords with water level fluctuation and three P(TP,DTP and SRP),TN and NO-3-N content during the high water level period is higher than during the low water level period.In addition,nutritive salt concentration in surface,middle and bottom water layers is no significant difference during high water level period but vertical variation of nutritive salt gradually increases from surface water layer to bottom water layer and the correlation between chlorophyll a and nutritive salt in surface water layer is difference with middle water layer,which indicates that variation of water level not only influences nutritive salt concentration in the backwater area,but also influences vertical distribution and mutual relation of nutritive salt and chlorophyll a.
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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 | 0.000 | 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) | 0.000 | 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".