Bibliographic record
Abstract
경수로형인 한국형 표준원전과 CANDU형 중수로형 원자력 발전소의 가상 중대사고시 대기 중으로 방출되는 방사성 물질로 인한 인체 건강영향에 미치는 리스크를 평가하고 비교하였다. 두 발전소 모두 반경 80km 까지의 인구분포와 2단계 PSA의 결과로 주어지는 방사선원 방출군별 방출 분율과 노심 재고량을 이용하였으며 평가 도구로는 MACCS2를 이용하였다. 인체에 미치는 영향은 조기 사망과 암 사망을 선정하였으며 반경 10 마일 밖으로 소개가 이루어진다고 가정하고 평가 결과는 사고 발생빈도를 고려한 리스크를 CCDF 곡선군으로 나타냈다. 평가 결과에 의하면 경수로형 원전에 비해 중수로형 원전이 리스크가 적게 나타나는데 이는 중수로형 원전이 경수로형 원전에 비해 가상 중대사고로 인해 대기 중으로 방출되는 방사성 물질의 양이 적기 때문이다. 두 발전소 모두 최대 리스크를 보이는 방사선원 방출군의 대표적인 초기사건은 증기발생기 세관파손 사고로 나타났다. 따라서, 경수로형 및 중수로형 발전소 모두 사고로 인한 주변 주민 보호를 위해서는 증기발생기 세관파손 사고의 발생빈도와 이로 인한 대기 중으로의 방사성 물질의 방출을 감소시키기 위한 방안이 강구되어야 한다. 【The health effects resulting from severe accidents of typical 1,000MWe KSNP(Korea Standard Nuclear Plant) PWR and typical 600MWe CANDU(CANada Deuterium Uranium) plants were estimated and compared. The population distribution of the site extending to 80km for both site were considered. The releaese fraction for various source term categories(STC) and core inventories were used in the estimation of the health effects risks by using the MACCS2(MELCOR Accident Consequence Code System2) code. Individuals are assumed to evacuate beyond 16km from the site. The health effects considered in this comparative study are early and cancer fatality risk, and the results are presented as CCDF(Complementary Cumulative Distribution Function) curves considering the occurrence probability of each STC's. According to the results, the early and cancer fatality risks of PHWR plants we lower than those of PWR plants. This is attributed the fact that the amount of radioactive mateials that released to the atmosphere resulting from the postulated severe accidents of PHWR plants are smaller than that of PWR plants. And, the dominating initiating event of STC that shows maximum early and cancer fatality risk is SGTR(Steam Generator Tube Rupture) for both plants. Therefore, the appropriated actions must be taken to reduce the occurrence probability and the amounts of radioactive materials released to the environment in order to protect the public for both PWR and PHWR plants.】
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".