Application of Sequential Monte Carlo Estimation for Early Phase of Radiation Accident

0377542 - ÚTIA 2013 CZ eng V - Research Report
Šmídl, Václav - Hofman, Radek
Application of Sequential Monte Carlo Estimation for Early Phase of Radiation Accident.
Praha: UTIA AV CR, v.v.i, 2012. 25 s. Research Report, 2322.
R&D Projects: GA MV(CZ) VG20102013018
Institutional support: RVO:67985556
Keywords : radiation protection * dispersion modeling * particle filter
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2012/AS/smidl-application of sequential monte carlo estimation for early phase of radiation accident.pdf

The early phase of radiation accident is characterized by minimum number of measured data and high uncertainty in both atmospheric conditions and radiation situation. Our goal is to provide an accurate method of radiation situation assessment that is capable to respect the uncertainty and provide informative predictions of its evolution for the involved decision makers. We propose a state space model based on atmospheric dispersion model, numerical weather model with local corrections and random walk on the model corrections and release evolution. This model is highly nonlinear and is estimated using sequential Monte Carlo. Since the model is significantly more complex that previously considered models and its estimation with naive proposal densities become too computationally demanding. We propose to construct a proposal density using problem specific simplification followed by application of the Laplace approximation. Properties of the resulting estimation procedure are illustrated on a twin experiment.
Permanent Link: http://hdl.handle.net/11104/0209671