Accident Simulation Study for Nuclear Power Plants Impacting Louisiana: Differences in 2017 vs. 1992 Protective Action Guidelines
Bibliographic record
Abstract
ABSTRACT: Louisiana has aligned its radiological emergency program with the 2017 US Environmental Protection Agency Protective Action Guides Manual but has added a child thyroid dose evacuation threshold in lieu of distributing potassium iodide to the public. The nuclear power plants will continue to align with the 1992 manual for the foreseeable future, which could lead to possible accident scenarios in which state recommendations would differ from those of the utility. The objective of this study is to predict what accident and weather conditions will lead to a differing set of recommendations. This study performs a representative set of simulations of potential nuclear power plant accidents using a combination of the RASCAL software package, provided by the Nuclear Regulatory Commission, and a Software system used by Entergy combining an older RASCAL dose modeling methodology with plant-specific input. Four preliminary results of this study are presented: a spent fuel fire where differences in whole body dose lead to very different evacuations, a loss of coolant accident in which the child thyroid dose is the determining factor, a core melt accident using stack monitors to locate the evacuation threshold point, and a spiked coolant accident that could lead to an evacuation order before the plant declares a General Emergency. Weather plays as great a role as accident conditions in determining whether the evacuation recommendations differ. The completed results of this study can provide guidance to states as they evaluate the transition to the 2017 guidelines.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 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".