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Record W4386802691 · doi:10.23977/jeeem.2023.060502

Research on the Law of Electric Water Conversion Coefficient in Typical Wells of Chayou Middle Banner

2023· article· en· W4386802691 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Electrotechnology Electrical Engineering and Management · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsIrrigationElectricityEnvironmental scienceWater useWater-use efficiencyYield (engineering)Water efficiencyFarm waterElectric powerWater conservationEnvironmental engineeringPower (physics)Materials scienceEngineeringAgronomyElectrical engineering

Abstract

fetched live from OpenAlex

"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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.259
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it