Fukushima Daiichi Nuclear Plant accident: Atmospheric and oceanic impacts over the five years
K Hirose - Journal of Environmental Radioactivity, 2016 - Elsevier
Abstract The Fukushima Daiichi Nuclear Plant (FDNPP) accident resulted in huge
environmental and socioeconomic impacts to Japan. To document the actual environmental …
environmental and socioeconomic impacts to Japan. To document the actual environmental …
[HTML][HTML] Radionuclide measurements of the international monitoring system
Abstract The International Monitoring System (IMS) is a unique global network of sensors,
tuned to measure various phenomenology, with the common goal of detecting a nuclear …
tuned to measure various phenomenology, with the common goal of detecting a nuclear …
Atmospheric dispersion prediction and source estimation of hazardous gas using artificial neural network, particle swarm optimization and expectation maximization
Hazardous gas leak accident has posed a potential threat to human beings. Predicting
atmospheric dispersion and estimating its source become increasingly important in …
atmospheric dispersion and estimating its source become increasingly important in …
A review of global radioxenon background research and issues
TW Bowyer - Pure and Applied Geophysics, 2021 - Springer
Among the most important problems for the world-wide nuclear explosion monitoring is the
interference of naturally occurring and man-made radionuclides. The International …
interference of naturally occurring and man-made radionuclides. The International …
Paradigms and commonalities in atmospheric source term estimation methods
PE Bieringer, GS Young, LM Rodriguez… - Atmospheric …, 2017 - Elsevier
Modeling the downwind hazard area resulting from the unknown release of an atmospheric
contaminant requires estimation of the source characteristics of a localized source from …
contaminant requires estimation of the source characteristics of a localized source from …
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 …
Radioactivity impacts of the Fukushima Nuclear Accident on the atmosphere
Abstract The Fukushima Nuclear Accident (FNA) resulted in a large amount of radionuclides
released into the atmosphere and dispersed globally, which has greatly raised public …
released into the atmosphere and dispersed globally, which has greatly raised public …
The role of mass spectrometry in radioactive contamination assessment after the Fukushima nuclear accident
The Fukushima nuclear accident caused the release of large amounts of radionuclides into
the environment. After the accident, radioactive contamination assessment in environmental …
the environment. After the accident, radioactive contamination assessment in environmental …
Multi-nuclide source term estimation method for severe nuclear accidents from sequential gamma dose rate based on a recurrent neural network
Y Ling, Q Yue, T Huang, Q Shan, D Hei, X Zhang… - Journal of Hazardous …, 2021 - Elsevier
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 …
atmosphere, the source term information is typically unknown. Estimating the emission rate …
Projected network performance for multiple isotopes using next-generation xenon monitoring systems
Since about 2000 (Bowyer et al., 1998), radioxenon monitoring systems have been under
development and testing for the verification of the Comprehensive Nuclear Test-Ban Treaty …
development and testing for the verification of the Comprehensive Nuclear Test-Ban Treaty …