A review of numerical models to predict the atmospheric dispersion of radionuclides
The field of atmospheric dispersion modeling has evolved together with nuclear risk
assessment and emergency response systems. Atmospheric concentration and deposition …
assessment and emergency response systems. Atmospheric concentration and deposition …
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 …
Source inversion of both long-and short-lived radionuclide releases from the Fukushima Daiichi nuclear accident using on-site gamma dose rates
X Li, S Sun, X Hu, H Huang, H Li, Y Morino… - Journal of hazardous …, 2019 - Elsevier
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 …
atmospheric releases of both long-and short-lived radionuclides. However, they are seldom …
Local atmospheric transport behaviors of representative radionuclides during the Fukushima accident: A 200-m-resolution cross-scale study from site to 20 km
S Zhuang, S Fang, X Dong, Y Xu, L Sheng… - Journal of Environmental …, 2023 - Elsevier
Modeling of local atmospheric radionuclide transport is essential for nuclear emergency
response. However, very few studies of the Fukushima Dai-ichi nuclear power plant …
response. However, very few studies of the Fukushima Dai-ichi nuclear power plant …
Site-targeted evaluation of SWIFT-RIMPUFF for local-scale air dispersion modeling around Sanmen nuclear power plant based on multi-scenario wind tunnel …
X Dong, S Zhuang, S Fang, H Li, J Cao - Annals of Nuclear Energy, 2021 - Elsevier
The SWIFT-RIMPUFF is composed of the Stationary Wind Fit and Turbulence model and the
Risø Mesoscale PUFF model, which has explicit building modules for atmospheric …
Risø Mesoscale PUFF model, which has explicit building modules for atmospheric …
[HTML][HTML] A rapid method for computing 3-D high-resolution vegetative canopy winds in weakly complex terrain
To determine near-surface winds within and above vegetation canopies for operational
environmental applications, a wind model must run at high-resolution (O (1–10 m)), in a few …
environmental applications, a wind model must run at high-resolution (O (1–10 m)), in a few …
Automated release rate inversion and plume bias correction for atmospheric radionuclide leaks: a robust and general remediation to imperfect radionuclide transport …
S Fang, S Zhuang, X Li, H Li - Science of The Total Environment, 2021 - Elsevier
The release rate is vital in assessing the international environmental risk of atmospheric
radionuclide leaks, and it usually can only be obtained through inversion. However, such …
radionuclide leaks, and it usually can only be obtained through inversion. However, such …
Multi-scenario validation of CALMET-RIMPUFF for local-scale atmospheric dispersion modeling around a nuclear powerplant site with complex topography
X Dong, S Zhuang, S Fang, H Li, J Cao - Journal of Environmental …, 2021 - Elsevier
Highlights•Comprehensive evaluation with multiple wind tunnel experiments of the same
site.•Validations of 2D horizontal wind and concentration fields, and vertical wind …
site.•Validations of 2D horizontal wind and concentration fields, and vertical wind …
Multi-scenario validation of the robust inversion method with biased plume range and values
X Dong, S Zhuang, Y Xu, H Hu, X Li, S Fang - Journal of Environmental …, 2024 - Elsevier
Release rate estimation is a vital means of revealing the emission process of radionuclides
and assessing the environmental consequences in an emergency. Inverse modeling is …
and assessing the environmental consequences in an emergency. Inverse modeling is …
Validation and sensitivity study of Micro-SWIFT SPRAY against wind tunnel experiments for small-scale air dispersion modeling between mountains and dense …
X Dong, S Zhuang, S Fang, X Li, S Wang, H Li… - Progress in Nuclear …, 2021 - Elsevier
The small-scale air dispersion modeling around nuclear power plants is important for
emergency planning and response of the emerging small modular reactors. But it is often …
emergency planning and response of the emerging small modular reactors. But it is often …