A Study on the Permit Method for a New or an Enlarged Facilities According to the Implementation of Air Pollutant Emission-Cap Regulation in Metropolitan Area
Bibliographic record
Abstract
For the improvement of air quality in the metropolitan area, Korea has enforced the air pollutant emission cap regulation from the 1st of July, 2007, and the companies that intend to install a new or an enlarged facility in the metropolitan area will be restricted. However, the current regulation on permission does not describe a standard of judgement distinctly. In this study, therefore, a method of permission on the installation of a new or an enlarged facility was developed by supplementing the law in force based on the foreign cases. To develop a specific permit regulation and procedure, the developed nations' cases such as US, Canada, EU were reviewed thoroughly. Also, an appropriate method was suggested to apply domestically for a new or an enlarged facility permit within the regulations of the metropolitan special law. The method consists of first, calculating the possible permit quantity from the difference between an estimated annual emission cap and the annual emission provided by the implementation plan in each region. Second, permitting a new or an enlarged facility construction within the difference of the emission between the regional emission cap and the implementation plan in 2014. Third, distributing emissions allowable to each performance year based on the regional emission cap and the implementation plan in 2014. Fourth, making use of the emission difference between the implementation plan and the performance result in each year. Considering the general domestic conditions, the convenience of the permit authority and permitted companies, the most reasonable method was to use the fourth. To enforce the suggested permit method in a more flexible way, parts of the related regulations need to be revised and continuous research and analysis on the results from the implemented system and on foreign cases is necessary to develop this method a suitable system for domestic conditions and to settle the air pollutant emission cap system.
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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 | 0.003 | 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) | 0.002 | 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".