0557000 20240903204336.220220502235959.9 000786831600025 4 s. P cav_un_epca*02904900926-498112943-44European Research Consortium for Informatics and Mathematics calm atmosphere radioactive qdmixtures Kuhlbeck-Leibrer divergence cav_un_auth*0101176 Pecha Petr UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101124 Kárný Miroslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021085 Pechová E. CZ cav_un_auth*0101207 Šmídl Václav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0267768 Tichý Ondřej UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2022/AS/pecha-0557000.pdf https://ercim-news.ercim.eu/en129/r-i/potential-hazard-of-accidental-radioactive-discharges-into-the-calm-atmosphere Accidental discharges of radioactive aerosol into the motionless (calm) atmosphere are examined with aim to quantify ensuing radiological impact on population. This paper offers an advanced methodology that facilitates and accelerates the demanding modelling process in the calm region. The modelling simulates continuous, quite volatile, radioactive releases under strong variations of the atmospheric conditions by a chain of discrete Gaussian pulses. The novel processing provides a simple and sufficiently precise estimate of statistical properties the final “super-puff” distribution of the Gaussian type. The approximation is based on Bayes’ paradigm (AB). The numerical experiments confirm the acceptability of the AB procedure under the inspected circumstances. The proposed way converts the laborious modelling of radiological fields into a feasible one. WOS BD 10000 10200 10201 2023 4 RVO:67985556 http://hdl.handle.net/11104/0331119 S 3+4 Article Computer Science Interdisciplinary Applications A COMPUTERSCIENCE.INTERDISCIPLINARYAPPLICATIONS 0.1 0.1 5.5 0.0001 0.023 112 0.100 73 0.03 Q4 2022 SCOPUS PUBMED 000786831600025 WOS cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 129 April 2022 43 44 European Research Consortium for Informatics and Mathematics