Spatio-temporal Change Analysis of Regional Evapotranspiration in the West of Jilin Province
Bibliographic record
Abstract
The deterioration problems of ecological environment such as desertification of land,salinization and grassland degeneration in the west of Jilin province are serious,which restrict the sustainable development of society and economy.In order to study the relationship between environment change and regional evapotranspiration,and to reveal the mechanism and driving forces in environment deterioration from the view of the water balance,we calculated the surface land evapotranspiration of the western Jilin province from 1986 to 2003 year except 1989,1990 and 2002 with NOAA/AVHRR data using surface energy balance system.The temporal and spatial distribution of evapotranspiration is analyzed at three time scales,i.e.,year,quarter and month,respectively.The primary results show:(1)The difference among annual average evapotranspiration(AAE)is large.The maximum AAE is in 1988,and the minimum is in 1996.The maximum monthly average evapotranspiration(MAE)is in May,and the minimum is in December.The distribution of MAE forms a curve that has only one peak.The average evapotranspiration(AE)of the second quarter reaches maximum,and the fourth quarter AE is minimum.Its distribution curve is the same as that of MAE.(2)The multi-year AE of the east part is larger than that of the western part.The multi-year AE of Fuyu County has the maximum value.The multi-year AE of Tongyu County is minimum.The MAE distribution curve of every county in the study area has the same shape that has only one peak.It reaches the maximum in May and the minimum in December.Its distribution status is the same as that of the entire area.The evapotranspiration difference between the first quarter and the fourth quarter average evapotranspiration of every county is small,but that of the second quarter and the third quarter is large.The distribution curve of every county is the same as that of the entire area,which has only one peak.It is concluded that the temporal and spatial distribution of evapotranspiration in the area is heterogeneous,and the strong transpiration provides advantageous conditions to the deterioration of ecological environment.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".