Source term inversion coupling Kernel Principal Component Analysis, Whale Optimization Algorithm, and Backpropagation Neural Networks (KPCA-WOA-BPNN) for …
X Li, J Song, L Yang, H Li, S Fang - Progress in Nuclear Energy, 2024 - Elsevier
Accurate and rapid source term estimation is critical for consequence assessment and
emergency decision-making in nuclear accidents. Neural network methods provide a …
emergency decision-making in nuclear accidents. Neural network methods provide a …
Ten years of investigations of Fukushima radionuclides in the environment: A review on process studies in environmental compartments
K Hirose, PP Povinec - Journal of Environmental Radioactivity, 2022 - Elsevier
In March 2011, severe nuclear accident happened at the Fukushima Dai-ichi Nuclear Power
Plant (FDNPP) after the gigantic earthquake and following huge tsunami wave. A lot of …
Plant (FDNPP) after the gigantic earthquake and following huge tsunami wave. A lot of …
Inversion of 137Cs emissions following the fukushima accident with adaptive release recovery for temporal absences of observations
S Fang, X Dong, S Zhuang, Z Tian, Y Zhao, Y Liu… - Environmental …, 2023 - Elsevier
Temporal absences in observation records lead to release losses during the source term
inversions of atmospheric radionuclide emissions. Consequently, objectively-estimated …
inversions of atmospheric radionuclide emissions. Consequently, objectively-estimated …
Objective inversion of the continuous atmospheric 137Cs release following the Fukushima accident
X Dong, S Fang, S Zhuang, Y Xu, Y Zhao… - Journal of Hazardous …, 2023 - Elsevier
Eleven years after the Fukushima accident, independent objective estimates of the
atmospheric 137 Cs release still suffer from discontinuities such as negative release terms …
atmospheric 137 Cs release still suffer from discontinuities such as negative release terms …
[HTML][HTML] Coupled modeling of in-and below-cloud wet deposition for atmospheric 137Cs transport following the Fukushima Daiichi accident using WRF-Chem: A self …
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) …
transport modeling of 137 Cs following the Fukushima Daiichi Nuclear power plant (FDNPP) …
Wet scavenging of multi-mode 137Cs aerosols following the Fukushima accident: Size-resolved microphysics modeling with observed diameters
S Zhuang, S Fang, Y Xu, D Goto, X Dong - Science of The Total …, 2024 - Elsevier
Wet scavenging was critical in the atmospheric transport of 137 Cs aerosols following the
Fukushima accident. The aerosol size diversity and related microphysical processes …
Fukushima accident. The aerosol size diversity and related microphysical processes …
Characterization of wildfire smoke over complex terrain using satellite observations, ground-based observations, and meteorological models
The severity of wildfires is increasing globally. In this study, we used data from the Global
Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to …
Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to …
Surrogate downscaling of mesoscale wind fields using ensemble Superresolution convolutional neural networks
TT Sekiyama, S Hayashi, R Kaneko… - Artificial Intelligence for …, 2023 - journals.ametsoc.org
Surrogate modeling is one of the most promising applications of deep learning techniques in
meteorology. The purpose of this study was to downscale surface wind fields in a gridded …
meteorology. The purpose of this study was to downscale surface wind fields in a gridded …
Source term inversion of nuclear accident based on deep feedforward neural network
W Cui, B Cao, Q Fan, J Fan, Y Chen - Annals of Nuclear Energy, 2022 - Elsevier
Source term estimation based on environmental monitoring data is a key method for
obtaining source information, which is required by the emergency response system. This …
obtaining source information, which is required by the emergency response system. This …
Sensitivity study to select the wet deposition scheme in an operational atmospheric transport model
A Quérel, D Quélo, Y Roustan, A Mathieu - Journal of Environmental …, 2021 - Elsevier
The ability of operational atmospheric transport models to simulate the soil contamination
caused by deposition processes is important in the response to a nuclear crisis. The …
caused by deposition processes is important in the response to a nuclear crisis. The …