0550737 20250310142513.520220103235959.9 85119500299 000752464100006 10.1016/j.jhazmat.2021.127776 14 s. P cav_un_epca*02571680304-3894425Elsevier Source inversion Atmospheric pollution Bias correction method Radionuclide emission Nuclear accident cav_un_auth*0267768 Tichý Ondřej UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101207 Šmídl Václav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0363740 Evangeliou N. NO https://www.sciencedirect.com/science/article/pii/S030438942102745X?via%3Dihub http://library.utia.cas.cz/separaty/2022/AS/tichy-0550737.pdf GA20-27939S GA ČR cav_un_auth*0391986 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. WOS BB 10000 10100 10102 2022 3 2 R hod 4 4rh 4 20250310141839.9 4 20250310142513.5 RVO:67985556 http://hdl.handle.net/11104/0326171 1 S 127776 3+4 Article Engineering Environmental|Environmental Sciences C ENVIRONMENTALSCIENCES|ENGINEERING.ENVIRONMENTAL 12.7 2.7 3.6 0.14903 1.787 208425 2.57 12.800 2262 Q1 95.1 Q1 Q1* 1.93 Q1 96.5 2022 Soubory v repozitáři: tichy-0550737.pdf 85119500299 SCOPUS PUBMED 000752464100006 WOS cav_un_epca*0257168 Journal of Hazardous Materials 0304-3894 1873-3336 Roč. 425 č. 1 2022 Elsevier