0642837 20260226095019.920251209235959.9 105025646392 001639146800001 10.1016/j.anucene.2025.112056 12 s. P cav_un_epca*02508030306-4549228Elsevier Radioactivity release Near vicinity of the source Data assimilation Ten-minute measurement cycle Residual plume segments model cav_un_auth*0101176 Pecha Petr 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*0021085 Pechová E. CZ 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. https://library.utia.cas.cz/separaty/2025/AS/pecha-0642837_2.pdf GA24-10400S GA ČR CZ cav_un_auth*0464279 We present a fast near-field dispersion and dose-calculation framework that runs in a real-time 10-minute cycle synchronized with the monitoring network. Measured ambient gamma dose rates are assumed available for assimilation with independently modelled values. The ambient gamma dose rate is measured by 72 sensors of the operational Early Warning Network surrounding the nuclear power plant (NPP) Dukovany (Czech Republic), covering the emergency planning zone and extending up to 100 km. The basic requirement for the mathematical model is to provide sufficiently accurate and fast description of radionuclide propagation. The proposed algorithm is adapted to 10-minute measurement cycle, addresses the spread of residual components from previous 10-minute release segments. The objective is to establish the closest possible data assimilation between the model predictions and measurements. Qualitative example based on surroundings of the NPP Dukovany is presented. WOS BB 10000 10500 10509 2027 3 RVO:67985556 https://hdl.handle.net/11104/0372950 S 112056 B 20260701 NUCLEARSCIENCE&TECHNOLOGY 2.2 0.5 6 0.00961 0.358 15337 88 0.897 33.22 2.65 5110 Q1 1.900 711 Q1 79.3 0.99 Q1 79.3 2026 105025646392 SCOPUS PUBMED 001639146800001 WOS cav_un_epca*0250803 Annals of Nuclear Energy Roč. 228 č. 1 2026 0306-4549 1873-2100 Elsevier