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

As a licensing requirement, constructing a new nuclear power plant (NPP) requires
performing a radiological environmental impact assessment (REIA) which includes the study …

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

Wet deposition, including both in-and below-cloud scavenging, is critical for the atmospheric
transport modeling of 137 Cs following the Fukushima Daiichi Nuclear power plant (FDNPP) …

Eleven years after the Fukushima accident, independent objective estimates of the
atmospheric 137 Cs release still suffer from discontinuities such as negative release terms …

The third model intercomparison project (MIP) for investigating the atmospheric behavior of
atmospheric caesium-137 (137 Cs) emitted from Fukushima Daiichi Nuclear Power Plant …

Wet deposition remains an important source of uncertainty in modeling of the atmospheric
transport of 137 Cs following the Fukushima Daiichi Nuclear Power Plant accident. Its …

Following a nuclear accident, on-site gamma dose rates provide the most complete record of
atmospheric releases of both long-and short-lived radionuclides. However, they are seldom …

Wet scavenging was critical in the atmospheric transport of 137 Cs aerosols following the
Fukushima accident. The aerosol size diversity and related microphysical processes …

Modeling of local atmospheric radionuclide transport is essential for nuclear emergency
response. However, very few studies of the Fukushima Dai-ichi nuclear power plant …