0363845 20240111140759.720111101235959.9 Praha ČTU v Praze 2011 114 s. www data assimilation radiation protection atmospheric dispersion particle model Monte Carlo cav_un_auth*0228606 Hofman Radek Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2011/AS/hofman-application of advanced data assimilation methods in off-site consequence assessment-disertace.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA102/07/1596 GA ČR CZ cav_un_auth*0227611 CEZ:AV0Z10750506 The task of the decision support in the case of a radiation accident is to provide up-to-date information on the radiation situation, prognosis of its future evolution and possible consequences. The reliability of predictions can be significantly improved using data assimilation, which refers to a group of mathematical methods allowing an efficient combination of observed data with a numerical model. The dissertation concerns application of the advanced data assimilation methods in the field of radiation protection. We focus on assessment of off-site consequences in the case of a radiation accident. The main contribution of this thesis is the development of sequential data assimilation methods for the early and the late phase of a radiation accident. Data assimilation is understood here as a particular case of recursive Bayesian estimation. 2012 DL Ph.D. FJFI ČVUT Praha 2011 http://hdl.handle.net/11104/0199492 2011 2011 Praha ČTU v Praze pdf