A review of numerical models to predict the atmospheric dispersion of radionuclides

Á Leelőssy, I Lagzi, A Kovács, R Mészáros - Journal of environmental …, 2018 - Elsevier
The field of atmospheric dispersion modeling has evolved together with nuclear risk
assessment and emergency response systems. Atmospheric concentration and deposition …

Oscillation-free source term inversion of atmospheric radionuclide releases with joint model bias corrections and non-smooth competing priors

S Fang, X Dong, S Zhuang, Z Tian, T Chai, Y Xu… - Journal of Hazardous …, 2022 - Elsevier
The source term of atmospheric radionuclide releases is essential for the hazardous
consequence assessment and emergency response. However, the artificial release …

Atmospheric modeling and source reconstruction of radioactive ruthenium from an undeclared major release in 2017

O Saunier, D Didier, A Mathieu… - Proceedings of the …, 2019 - National Acad Sciences
In October 2017 unusual 106Ru detections across most of Europe prompted the Institut de
Radioprotection et de Sûreté Nucléaire (IRSN) to analyze the event in order to locate the …

[HTML][HTML] Source term inversion of short-lived nuclides in complex nuclear accidents based on machine learning using off-site gamma dose rate

Y Ling, C Liu, Q Shan, D Hei, X Zhang, C Shi… - Journal of Hazardous …, 2024 - Elsevier
During nuclear accidents, large amounts of short-lived radionuclides are released into the
environment, causing acute health hazards to local populations. Therefore, it is particularly …

[HTML][HTML] Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety

X Zhang, J Wang - Journal of Safety Science and Resilience, 2022 - Elsevier
Modern society is confronted with emerging threats from chemical, biological, and
radiological (CBR) hazardous substances, which are intensively utilized in the chemical …

Adaptive center constraint for joint release rate estimation and model correction: Multi-scenario validation against wind tunnel experiments

X Li, J Song, Y Zhang, L Yang, S Fang - Progress in Nuclear Energy, 2024 - Elsevier
Release rate estimation is crucial for the consequence assessment and emergency decision-
making in nuclear accidents. However, inevitable model biases can lead to significant …

Potential Source Apportionment and Meteorological Conditions Involved in Airborne 131I Detections in January/February 2017 in Europe

O Masson, G Steinhauser, H Wershofen… - … science & technology, 2018 - ACS Publications
Traces of particulate radioactive iodine (131I) were detected in the European atmosphere in
January/February 2017. Concentrations of this nuclear fission product were very low …

Moisture sources and paths associated with warm-season precipitation over the Sichuan Basin in southwestern China: climatology and interannual variability

S Zhang, B Liu, G Ren, T Zhou, C Jiang, S Li, B Su - Journal of Hydrology, 2021 - Elsevier
This study used the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT)
model to examine the moisture sources and pathways associated with warm-season …

Comparative study on gradient-free optimization methods for inverse source-term estimation of radioactive dispersion from nuclear accidents

S Jang, J Park, HH Lee, CS Jin, ES Kim - Journal of hazardous materials, 2024 - Elsevier
In this study, we rigorously assess the performance of three gradient-free optimization
algorithms—Ensemble Kalman Inversion (EKI), Particle Swarm Optimization (PSO), and …

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 …