Source term determination with elastic plume bias correction

0550737 - ÚTIA 2022 RIV NL eng J - Článek v odborném periodiku
Tichý, Ondřej - Šmídl, Václav - Evangeliou, N.
Source term determination with elastic plume bias correction.
Journal of Hazardous Materials. Roč. 425, č. 1 (2022), č. článku 127776. ISSN 0304-3894. E-ISSN 1873-3336
Grant CEP: GA ČR GA20-27939S
Institucionální podpora: RVO:67985556
Klíčová slova: Source inversion * Atmospheric pollution * Bias correction method * Radionuclide emission * Nuclear accident
Obor OECD: Applied mathematics
Impakt faktor: 13.6, rok: 2022
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S030438942102745X?via%3Dihub http://library.utia.cas.cz/separaty/2022/AS/tichy-0550737.pdf

Estimation of a source term, i.e. release rate, of atmospheric radionuclide emissions is of key interest for nuclear emergency response and further accident analysis. The source term estimate is, however, often very inaccurate due to biases in atmospheric transport and used meteorological analysis. We propose a method for atmospheric plume bias correction which uses not only concentrations modeled at a measuring site but also the information on concentration gradient from the neighborhood of each measuring site, i.e. information already available from the atmospheric transport model. To properly regularize the model, we propose an elastic model of the plume bias correction based on regularization with the use of known topology of the measurement network. The proposed plume bias correction method can be coupled with an arbitrary source term estimation algorithm and can be instantly applied to any other atmospheric release of hazardous material. We demonstrate the method in two real cases. First, we use data from the European Tracer Experiment to validate the methodology. Second, we use data from the 106Ru occurrence over Europe in 2017 to demonstrate the methodology in a more demanding case where agreement with state-of-the-art estimates is shown with much better reconstruction of measurements.
Trvalý link: http://hdl.handle.net/11104/0326171