Exploitation of Particle Filter in Early Phase of a Reactor Accident

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F09%3A00165509" target="_blank" >RIV/68407700:21340/09:00165509 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Exploitation of Particle Filter in Early Phase of a Reactor Accident

Popis výsledku v původním jazyce

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 introducedcountermeasures, it is necessary to predict spatial and temporal distribution of 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 sensitivity and uncertainty studies performed on dispersion models. Exact values of these parameters are uncertain due to the stochastic nature of atmospheric dispersion, hencethe parameters are modeled as random quantities. Data assimilation is the optimal way how to exploit information from both the measured data and expert-selected prior knowledge to obtain reliable estimates of the input parameters.

Název v anglickém jazyce

Exploitation of Particle Filter in Early Phase of a Reactor Accident

Popis výsledku anglicky

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 introducedcountermeasures, it is necessary to predict spatial and temporal distribution of 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 sensitivity and uncertainty studies performed on dispersion models. Exact values of these parameters are uncertain due to the stochastic nature of atmospheric dispersion, hencethe parameters are modeled as random quantities. Data assimilation is the optimal way how to exploit information from both the measured data and expert-selected prior knowledge to obtain reliable estimates of the input parameters.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Doktorandské dny 2009

ISBN

978-80-01-04436-0

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

Česká technika - nakladatelství ČVUT

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

13. 11. 2009

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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