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Multi-scenario validation of the self-correction source term inversion method
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AI
DOI：10.1080/00223131.2025.2579627.png)
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Abstract
En 中文
Radioactive leakage from nuclear facilities during severe accidents poses a significant threat to the environment and public safety. Rapid and accurate estimation of the source term is critical for radiation consequence assessment and emergency response. Forward methods rely on core radionuclide inventories but are limited by insufficient source information. Inversion methods, which utilize environmental measurements and atmospheric dispersion simulations, provide an essential alternative. However, inherent uncertainties in radionuclide transport models often result in biased estimates. To address this, a self-correction inversion method is employed and assessed in this study, introducing a correction coefficient matrix to mitigate errors in plume range and concentration values. The method is validated using wind tunnel experiments simulating three wind scenarios (NNW, W, SSE) that replicate the complex topography of a nuclear power plant site. The SWIFT-RIMPUFF model is employed for simulation and transport matrix construction. Results demonstrate that the self-correction inversion method significantly outperforms traditional approaches. Notably, for the SSE scenario, the traditional method overestimates the source term by 3.3 times the true value, whereas the self-correction method reduces the deviation to only 4%. These findings highlight the effectiveness of the self-correction method in improving source term estimation under complex conditions.
Keywords:
Source term inversion
model error
self-correction method
atmospheric dispersion model
wind tunnel experiment
Journal
J
IF:
1.7
Papers:
80
Citations:
4.7K