Research on the Law of Electric Water Conversion Coefficient in Typical Wells of Chayou Middle Banner
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Bibliographic record
Abstract
"Electricity for water" is an indirect measurement method of agricultural irrigation water. It establishes the quantitative relationship between irrigation electricity consumption and water withdrawal, and uses irrigation electricity consumption data to calculate irrigation water consumption indirectly. The conversion coefficient of electricity and water refers to the ratio of irrigation water to electricity consumption. Through the comprehensive analysis of 56 typical Wells and all irrigation Wells, it can be seen that the electric-water conversion coefficient of camellia Zhongji irrigation machine and electric well presents the following rules: (1) The electric-water conversion coefficient is larger in the high-yield (good water yield) area among different water levels.(2) Within the same water level or between adjacent water levels, when the difference between the water level is small, it is related to the old and new pumps. The newer the pump, the higher the use efficiency, the lower the power consumption, and the greater the water conversion coefficient.(3) Within the same water level or between adjacent water levels, the same depth of the irrigation well is related to the rated water output of the pump. The higher the rated water yield, the better the water yield and the greater the conversion coefficient of water yield. (4) When there is little difference in the amount of water within the same water level or between adjacent water levels, it is also related to the pump head. The smaller the pump head, the greater the power consumption, the greater the water conversion factor. In addition, it is also related to many factors such as line loss and well depth. Through the field measurement and data analysis, it is found that the conversion coefficient of electric water quantity is not only affected by a single factor, but also by the water quantity of each well, well depth, pump type, new and old pumps, pump head, line loss and other factors. Even in the same water level range, the electric-water conversion coefficient cannot show a certain rule on the plane.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it