Accurate and rapid source term estimation is critical for consequence assessment and
emergency decision-making in nuclear accidents. Neural network methods provide a …

Modern society is confronted with emerging threats from chemical, biological, and
radiological (CBR) hazardous substances, which are intensively utilized in the chemical …

Atmospheric transport and dispersion models are important tools in radiation protection as
they help to estimate the impact of radionuclides released into the atmosphere. In particular …

Rapid estimation of the release rate of source items after a nuclear accident is very important
for nuclear emergency and decision making. A source term estimation method, based on the …

When severe nuclear accidents at nuclear power plants release radioactive material into the
atmosphere, the source term information is typically unknown. Estimating the emission rate …

During severe nuclear accidents, radioactive materials are expected to be released into the
atmosphere. Estimating the source term plays a significant role in assessing the …

In this study, we rigorously assess the performance of three gradient-free optimization
algorithms—Ensemble Kalman Inversion (EKI), Particle Swarm Optimization (PSO), and …

During a nuclear accident, estimating the source terms using environmental measurements
is vital for emergency decision-making. In this study, we propose a forecasting model based …

This article focuses on the formation of complex trajectories of radiological background fields
for atypical accidental discharges of radioactivity into the atmosphere during very low wind …

After a severe nuclear accident, the source term is typically unknown. Therefore, great
importance is attached to obtaining source term information for subsequent emergency …