0460631 20240103212401.020160712235959.9 84986328069 000390507800043 10.1016/j.jenvrad.2016.06.016 28 s. P cav_un_epca*02537410265-931X1641 (2016)377-394Elsevier Inverse modelling recursive radioactive plume tracking Improvement of population protection monitoring network capability cav_un_auth*0101176 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 70 Pecha Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101207 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 30 Šmídl Václav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/AS/pecha-0460631.pdf cav_un_auth*0318110 7F14287 GA MŠk CZ cav_un_auth*0265869 VG20102013018 GA MV A stepwise sequential assimilation algorithm is proposed based on an optimisation approach for recursive parameter estimation and tracking of radioactive plume propagation in the early stage of a radiation accident. The proposed method is designated as a stepwise re-estimation of the source term release dynamics and an improvement of several input model parameters. It results in a more precise determination of the adversely affected areas in the terrain. Twin experiment generating noiseless simulated "artificial" observations is studied to verify the minimisation algorithm. The impact of the measurement noise on the re-estimated source release rate is examined. AQ 2017 2 4 A hod 4ah 20231122141748.8 RVO:67985556 http://hdl.handle.net/11104/0260695 1 Department of Adaptive Systems UTIA-B 10511 ENVIRONMENTAL SCIENCES S 3+4 Article Environmental Sciences ENVIRONMENTALSCIENCES 2.633 0.639 6.7 0.00818 0.527 6492 0.956 Q1 1.648 319 Q2 32.715 60 Q3 Q2 60.044 2016 Soubory v repozitáři: pecha-0460631.pdf 84986328069 SCOPUS 000390507800043 WOS cav_un_epca*0253741 Journal of Environmental Radioactivity 0265-931X 1879-1700 Roč. 164 č. 1 2016 377 394 Elsevier