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Novel simulation technique of radioactive aerosol substances propagation into the motionless atmosphere suddenly disseminated by wind to surrounding environment
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SYSNO ASEP 0545515 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Novel simulation technique of radioactive aerosol substances propagation into the motionless atmosphere suddenly disseminated by wind to surrounding environment Author(s) Pecha, Petr (UTIA-B) RID, ORCID
Kárný, Miroslav (UTIA-B) RID, ORCIDArticle number 108686 Source Title Annals of Nuclear Energy. - : Elsevier - ISSN 0306-4549
Roč. 165, č. 1 (2022)Number of pages 14 s. Publication form Print - P Language eng - English Country US - United States Keywords Calm atmosphere ; Aerosol dispersion and deposition ; Pollution dissemination ; Hot spot occurrence ; Non-Gaussian sum ; Kullback-Leibler divergence Subject RIV BD - Theory of Information OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects LTC18075 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Limited access Institutional support UTIA-B - RVO:67985556 UT WOS 000703444900003 EID SCOPUS 85114834258 DOI 10.1016/j.anucene.2021.108686 Annotation 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. An original idea of insertion of the nested inner cycle enables to comprise the atmosphere state changes during individual pulse propagation. The radioactivity concentration in air at the calm end period becomes a quite non-Gaussian sum of the Gaussian puffs. The novel processing provides a simple and sufficiently precise estimate of its statistical properties. The processing approximates the sum by a single “super-puff” distribution of the Gaussian type. It remarkably facilitates analysis of the ensuing convective transport of the radioactivity package. Instead of many calculating runs of the convective transport for each individual puff, only one run realises. 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. It supports practicability of the sampling based methods of uncertainty and sensitivity analyses, as well as the data assimilation methods, especially their inverse modelling techniques based on simulation of multiplex radiological trajectories. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2022 Electronic address https://www.sciencedirect.com/science/article/pii/S0306454921005624?via%3Dihub
Number of the records: 1