Research on developing a methodto estimate fugitive CH4 emissionfactors of coal surface mining in Quang Ninh province
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Bibliographic record
Abstract
This article presents the approach and the results of estimating CH4 emission from surface mining in Quang Ninh province to develop its fugitive CH4 emission factors. The two largest active surface mines were selected named Nui Beo and Cao Son. By applying a direct measurement method with samples using a specific chamber, CH4 emission was collected and calculated for the whole mine. Results showed that CH4 emission varied from mine to mine both the total amount and its range of maximum and minimum. In detail, the total amount of CH4 emission from Cao Son is 19,032.87 m3with the range of 73.14% while these numbers of Nui Beo are 2,684.47 m3 and 76.38%, respectively. The CH4emission factors of surface mines then were estimated in the range of 0.0850 m3/ton and 0.0225 m3/ton respect to high emission level and low emission level. These values are close to the emission factors generated from Germany (0.015 - Lignite), Canada (0.088 - Lignite; 0.19 - Bituminous), South Africa (0.002÷0.064 - Bituminous). These emission factors are considered as scientific evidence to propose the national factors of CH4 emission of surface mining.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it