Calculation of Precipitation of Qinghai Lake During Little Ice Age Based on GIS
Bibliographic record
Abstract
Inland lakes are recorders of the past climate change and indicators of the modern environmental change.Qinghai Lake,the largest inland salt lake in China,locats in the northeast of Qinghai-Tibet Plateau and semi-arid region where is under the influence of westerly and Asia Monsoon,is sensitive to climate change.Evidences such as lake shorelines changing can be used to study the fluctuation of lake level in this basin.These can reflect water mass balance of a basin and are closely related with climate parameters of precipitation,temperature,evaporation,humidity,wind,etc.A lake shoreline during the Little Ice Age is obtained by field investigation and geomorphologic analysis and its age is obtained by 14 C dating and precipitation during this time is calculated using hydrological and energy budget model and the methodology of meteorology,hydrology and other software such as GIS.The 14C dating of the bird bones at 3 201 m in Haiyanwan is 200 a B.P.and the 14 C dating of the deadwood at 3 201m in a lake shoreline in Hadawan is 195 a B.P.So the area of Qinghai Lake and precipitation can be estimated by the proof coming from the level and age of the lake shoreline in Haiyanwan and Hadawan based on GIS.The lake level and area are 3 201 m and 4 870 km 2 in 200 a B.P.respectively,which are 8 m higher and 636 km 2 bigger than those of today,and the precipitation in that time is 416 mm,which is 9% higher than that of today.This result is consistent with the opinion that the climate during Little Ice Age in Qinghai Lake is humid,which has been obtained by relative research and supports the viewpoint that climate in Qinghai Lake may have been influenced by southwest Asian monsoon,which is stronger but the eastern Asian monsoon is weaker during the middle and late period of the Little Ice Age.
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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) | 0.001 | 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".