[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 …

[HTML][HTML] Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment

J Li, J Sheng, L Zhu, B Yao, J Wu, D Pu, L Shu… - Atmospheric …, 2024 - Elsevier
The abundance of hydrofluorocarbons (HFCs) in the atmosphere is increasing and is of
significant importance to the Earth's system. It is thus crucial to investigate the spatial …

Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling

O Tichý, S Eckhardt, Y Balkanski… - Atmospheric …, 2023 - acp.copernicus.org
Abstract Ammonia (NH 3), a significant precursor of particulate matter, affects not only
biodiversity, ecosystems, and soil acidification but also climate and human health. In …

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 …

Source term determination with elastic plume bias correction

O Tichý, V Šmídl, N Evangeliou - Journal of Hazardous Materials, 2022 - Elsevier
Estimation of a source term, ie release rate, of atmospheric radionuclide emissions is of key
interest for nuclear emergency response and further accident analysis. The source term …

Robust source reconstruction of atmospheric radionuclides from observations of different sparsity with spatial preselection and non-smooth constraints

Y Xu, X Dong, H Luo, S Fang - Journal of Hazardous Materials, 2025 - Elsevier
As the global-nuclear-capacity-tripling plan is implemented, reconstruction of the source
locations and release rates of atmospheric radionuclides becomes increasingly important for …

Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017

O Tichý, M Hýža, N Evangeliou… - Atmospheric …, 2021 - amt.copernicus.org
Low concentrations of 106 Ru were detected across Europe at the turn of September and
October 2017. The origin of 106 Ru has still not been confirmed; however, current studies …

Method of source identification following an accidental release at an unknown location using a lagrangian atmospheric dispersion model

S Andronopoulos, IV Kovalets - Atmosphere, 2021 - mdpi.com
A computationally efficient source inversion algorithm was developed and applied with the
Lagrangian atmospheric dispersion model DIPCOT. In the process of source location …

Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1. 2.1, within the operational …

AR Brodtkorb, A Benedictow, H Klein… - Geoscientific Model …, 2024 - gmd.copernicus.org
Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the
eruption source parameters including eruption onset, duration, mass eruption rates, particle …

Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1. 2.1, within the …

AR Brodtkorb, A Benedictow, H Klein… - …, 2023 - egusphere.copernicus.org
Accurate modelling of ash clouds from volcanic eruptions requires knowledge about the
eruption source parameters including eruption onset, duration, mass eruption rates, particle …