Bayesian Inverse Modelling for Probabilistic Multi-Nuclide Source Term Estimation Using Observations of Air Concentration and Gamma Dose Rate

Autor: Kasper Skjold Tølløse, Jens Havskov Sørensen

Publikováno v: Atmosphere, Vol 13, Iss 11, p 1877 (2022)

In case of a release of hazardous radioactive matter to the atmosphere from e.g., a nuclear power plant accident, atmospheric dispersion models are used to predict the spatial distribution of radioactive particles and gasses. However, at the early st

Externí odkaz: https://doaj.org/article/6f42708b06be48798c13adc614bf6bc9

Probabilistic Inverse Method for Source Localization Applied to ETEX and the 2017 Case of Ru-106 including Analyses of Sensitivity to Measurement Data

Autor: Eigil Kaas, Kasper Skjold Tølløse, Jens Havskov Sørensen

Publikováno v: Atmosphere, Vol 12, Iss 1567, p 1567 (2021)
Atmosphere; Volume 12; Issue 12; Pages: 1567
Tollose, K S, Kaas, E & Sorensen, J H 2021, ' Probabilistic Inverse Method for Source Localization Applied to ETEX and the 2017 Case of Ru-106 including Analyses of Sensitivity to Measurement Data ', Atmosphere, vol. 12, no. 12, 1567 . https://doi.org/10.3390/atmos12121567

In recent years, cases of unexplained, elevated levels of radioactive particles have demonstrated an increasing need for efficient and robust source localization methods. In this study, a Bayesian method for source localization is developed and appli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f62082ceb1301e22924dfef7cfd76f8
https://www.mdpi.com/2073-4433/12/12/1567