Response of streamflow to climate change at the headwaters of Urumqi River in the Tianshan mountains over the recent 51 years
Bibliographic record
Abstract
According to the hydrological and meteorological records at the headwaters of the Urumqi River in Tianshan Mountains from 1959 to 2009,the climatic and glacial influences on patterns of streamflow were analyzed by linear regression,M-K trend test and water balance model.This study revealed that the runoff of glacier negatively correlated with the glacier mass-balance,and the glacier melt runoff increased by 157.48×104m3 over the recent 51 years,and the increasing runoff was mainly resulted from glacier melt and precipitation enhancement.After 1990s,the glacier runoff increased quickly,but the runoff of the whole headwaters region was decreasing,which was influenced by ground ice formation,the evapotranspiration,and the decreased glacier melt water supply caused by climatic changes.
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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 | 0.001 |
| 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) | 0.001 | 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 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".