Bayesian Methods for Optimization of Radiation Monitoring Networks

0381828 - ÚTIA 2013 CZ eng V - Research Report
Šmídl, Václav - Hofman, Radek
Bayesian Methods for Optimization of Radiation Monitoring Networks.
Praha: UTIA AV CR, v.v.i, 2011. 16 s. Research Report, 2315.
R&D Projects: GA MV(CZ) VG20102013018
Institutional support: RVO:67985556
Keywords : radiation monitoring * UAV * data assimilation
Subject RIV: DG - Athmosphere Sciences, Meteorology
http://library.utia.cas.cz/separaty/2012/AS/smidl-bayesian methods for optimization of radiation monitoring networks.pdf

Release of radioactive material into the atmosphere is the last possible resort of any accident in a nuclear power plant. It is an extremely rare event, however with severe consequences for potentially many people living in proximity of the power plant. Awareness of radiation security has been increased after the Chernobyl accident, and almost every country is now equipped with monitoring network of on-line connected receptors continually measuring radiation levels. Initial configurations of the network were designed by experts using their experience.In this report, we are concerned with local scale modeling of less severe accident in the range of tens of kilometers from the nuclear power plant. Both the stationary and mobile groups will be discussed. The preferred model of uncertainty is the empirical density which will be assimilated with measurements using the sequential Monte Carlo methodology. We will discuss influence of various loss functions.
Permanent Link: http://hdl.handle.net/11104/0212208