The rise of nonnegative matrix factorization: algorithms and applications

YT Guo, QQ Li, CS Liang - Information Systems, 2024 - Elsevier
Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …

[HTML][HTML] Sources and fate of atmospheric microplastics revealed from inverse and dispersion modelling: From global emissions to deposition

N Evangeliou, O Tichý, S Eckhardt… - Journal of Hazardous …, 2022 - Elsevier
We combine observations from Western USA and inverse modelling to constrain global
atmospheric emissions of microplastics (MPs) and microfibers (MFs). The latter are used …

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 …

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 …

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 …

[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 …

Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases …

Y Liu, JM Haussaire, M Bocquet… - Quarterly Journal of …, 2017 - Wiley Online Library
Inverse modelling of the emissions of atmospheric species and pollutants has significantly
progressed over the past 15 years. However, in spite of seemingly reliable estimates, the …

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 …

Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011

O Tichý, V Šmídl, R Hofman… - Atmospheric …, 2017 - acp.copernicus.org
In the fall of 2011, iodine-131 (131 I) was detected at several radionuclide monitoring
stations in central Europe. After investigation, the International Atomic Energy Agency (IAEA) …

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 …