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

The Chernobyl nuclear accident, and more recently the Fukushima accident, highlighted that
the largest source of error on consequences assessment is the source term, including the …

Temporal absences in observation records lead to release losses during the source term
inversions of atmospheric radionuclide emissions. Consequently, objectively-estimated …

This paper presents a review of up-to-date advancements in detection algorithms employed
in radiation monitoring for generating radiation maps of ground contamination and tracking …

Atmospheric dispersion models play an important role in nuclear power plant accident
management. A reliable estimation of radioactive material distribution in short range (about …

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

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 …

In case of a nuclear accident, the source term is typically not known but extremely important
for the assessment of the consequences to the affected population. Therefore the …

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 …