Improvement of Model-based Prediction via Assimilation of Measured Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F07%3A04137635" target="_blank" >RIV/68407700:21340/07:04137635 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Improvement of Model-based Prediction via Assimilation of Measured Data

Original language description

The paper briefly presents the development of software system HARP which is being developed in IITA. The HARP system is designed as a decision support tool (DSS) for purposes of fast assessment of radiological consequences of accidental releases of radionuclides into living environment. Particular attention is devoted to assimilation subsystem of the HARP system and its exploitation in analysis and prediction of further evolution of a scenario dealing with long-term deposition of $^{137}Cs$ over terrain. The present work demonstrates utilization of Kalman filter in assimilation process of the scenario and also a model used for modeling of long-term exposure due to groundshine in Japan DSS OSCAAR (Off-Site Consequence Analysis code for Atmospheric Releases in reactor accidents) is introduced.

Czech name

Improvement of Model-based Prediction via Assimilation of Measured Data

Czech description

The paper briefly presents the development of software system HARP which is being developed in IITA. The HARP system is designed as a decision support tool (DSS) for purposes of fast assessment of radiological consequences of accidental releases of radionuclides into living environment. Particular attention is devoted to assimilation subsystem of the HARP system and its exploitation in analysis and prediction of further evolution of a scenario dealing with long-term deposition of $^{137}Cs$ over terrain. The present work demonstrates utilization of Kalman filter in assimilation process of the scenario and also a model used for modeling of long-term exposure due to groundshine in Japan DSS OSCAAR (Off-Site Consequence Analysis code for Atmospheric Releases in reactor accidents) is introduced.

Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

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

Article name in the collection

Doktorandské dny 2007

ISBN

978-80-01-03913-7

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

Česká technika - nakladatelství ČVUT

Place of publication

Praha

Event location

Praha

Event date

Nov 16, 2007

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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