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

Abstract The Haiyang Nuclear Power Plant (HYNPP) was put into commercial operation at
the end of 2018, and the nuclear accident has caused great concern about the environment …

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

Understanding the transport of 137Cs emitted during the Fukushima accident is challenging
because the critical emissions that produced the high-deposition area are not adequately …

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

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) …

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

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 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 …

We have analyzed near-global stratospheric data (and mesospheric data as well for H 2 O)
in terms of absolute abundances, variability, and trends for O 3, H 2 O, HCl, N 2 O, and HNO …