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Source term inversion of nuclear accidents based on ISAO-SAELM model
- Source :
- Nuclear Engineering and Technology; 20240101, Issue: Preprints
- Publication Year :
- 2024
-
Abstract
- The release source term of radioactivity becomes a critical foundation for emergency response and accident consequence assessment after a nuclear accident Rapidly and accurately inverting the source term remains an urgent scientific challenge. Today source term inversion based on meteorological data and gamma dose rate measurements is a common method. But gamma dose rate actually includes all nuclides information, and the composition of radioactive nuclides is generally uncertain. This paper introduces a novel nuclear accident source term inversion model, which is Improve Snow Ablation Optimizer-Sensitivity Analysis Pruning Extreme Learning Machine (ISAO-SAELM) model. The model inverts the release rates of 11 radioactive nuclides (I-131, Xe-133, Cs-137, Kr-88, Sr-91, Te-132, Mo-99, Ba-140, La-140, Ce-144, Sb-129). It does not require the use of the physical field of the reactor to obtain prior information and establish a dispersion model. And the robustness is validated through noise analysis test. The mean absolute errors of the release rates of 11 nuclides are 15.52 %, 15.28 %, 15.70 %, 14.99 %, 14.85 %, 15.61 %, 15.96 %, 15.42 %, 15.84 %, 15.13 %, 17.72 %, which show the significant superiority of ISAO-SAELM. ISAO-SAELM model not only achieves notable advancements in accuracy but also receives validation in terms of practicality and feasibility.
Details
- Language :
- English
- ISSN :
- 17385733 and 2234358X
- Issue :
- Preprints
- Database :
- Supplemental Index
- Journal :
- Nuclear Engineering and Technology
- Publication Type :
- Periodical
- Accession number :
- ejs66392362
- Full Text :
- https://doi.org/10.1016/j.net.2024.04.038