Počet záznamů: 1

Data assimilation in early phase of radiation accident using particle filter

  1. 1.
    0331546 - UTIA-B 2010 RIV AU eng C - Konferenční příspěvek (zahraniční konf.)
    Hofman, Radek - Šmídl, Václav - Pecha, Petr
    Data assimilation in early phase of radiation accident using particle filter.
    [Asimilace v časné fázi radiační nehody pomocí particle filteru.]
    The Fifth WMO International Symposium on Data Assimilation. Melbourne: Australian Government - Bureau of Meteorology, 2009 - (Kepert, J.), s. 1-8
    [The Fifth WMO International Symposium on Data Assimilation. Melbourne (AU), 05.10.2009-09.10.2009]
    Grant CEP: GA MŠk(CZ) 1M0572; GA ČR(CZ) GA102/07/1596; GA ČR GP102/08/P250
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: data assimilation * particle filter * prediction * cloud shine * Gaussian puff * dose rate * reactor accident * decision support
    Kód oboru RIV: DL - Jaderné odpady, rad. znečištění a kontrola
    http://library.utia.cas.cz/separaty/2009/AS/hofman-data assimilation in early phase of radiation accident using particle filter.pdf http://library.utia.cas.cz/separaty/2009/AS/hofman-data assimilation in early phase of radiation accident using particle filter.pdf

    Exploitation of the data assimilation methodology in the field of radiation protection is studied. When radioactive pollutants are released into the atmosphere, a radioactive plume is passing over the terrain. In order to ensure efficiency of introduced countermeasures, it is necessary to predict spatial and temporal distribution of the aerial pollution and material already deposited on the ground. The predictions are made by the means of numerical dispersion models with many inputs. A group of the most significant input parameters affecting the dispersion process was selected using available sensitivity and uncertainty studies performed on dispersion models. Exact values of these parameters are uncertain due to the stochastic nature of atmospheric dispersion, hence the parameters are modeled as random quantities. We attempt to estimate these parameters upon measurements using particle filter. The algorithm is tested on an artificial scenario.

    Prace se zabyva vyuztim data asimilacnich metod v casne fazi radiacni nehody.
    Trvalý link: http://hdl.handle.net/11104/0177037