Influence of Concentrations Dried Sea Salt Aerosols to Decrease Solar Radiation
Bibliographic record
Abstract
The study was aimed to study influent concentration of total dried sea salt aerosol to decrease solar radiation located in Phetchaburi province by measuring wave-length between 300-1050 nm using spectroradiometer and model MS-700.Spearman,s correlation was used to determine the relationship between the different concentration of sea salt and the measurement of solar radiation. The result showed that decreasing percentage of solar radiation was decreased causing the reflection of radiation from the sun. Moreover high concentration of solar radiation from spectrum between 390-400 nm by small sea salt aerosol and soil particle. Radiation from the sun with wave-length (visible-light 400-700 nm) was increased due to size of soil particle and sea salt aerosol were smaller than the size of the wave-length. Radiation from the sun with wave-length (infrared 700-1040 nm) was increased in both sea salt aerosol and soil particle because the size of sea salt and soil particle were smaller than wave-length .The higher concentration of the sun concentration was in the wave-length between 910-930 nm and wave-length between 955-961 nm both in sea salt aerosol and soil particle. In additionally there should be a reduction of solar radiation in the wave-length between 955-961 nm. Which occurred only in sea salt aerosol due to radiation blocking (Chunkao, 1979) by sea salt particle. Radiation from the sun with wave-length between 1090-1120 nm was decreased the wave-length called atmospheric windrow, the sun radiation can be increased and decreased .Additionally the result showed correlations significant in wave-length 300-311,751-781,911-971 nm and significant high particular in wave-length 1070-1131 nm .respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".