Probabilistic Data Assimilation within RODOS

Probabilistic Data Assimilation within RODOS

An outline of the uncertainty handling and data assimilation framework within a Bayesian frame is given, illustrated by its use with RODOS. Particular emphasis is paid to the need for compatible methodologies and data structures to hold uncertainty assessments throughout all the modules of a decisio...

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Bibliographic Details
Published in:Radiation protection dosimetry Vol. 73; no. 1-4; pp. 57 - 59
Main Authors: Smith, J.Q., Faria, A.E., French, S., Ranyard, D., Vlesshhouwer, D., Bohunova, J., Duranova, T., Stubna, M., Dutton, L., Rojas, C., Sohier, A.
Format: Journal Article Conference Proceeding
Language:English
Published: Oxford Oxford University Press 01-01-1997
Subjects:
Biological and medical sciences
Computerized, statistical medical data processing and models in biomedicine
Medical sciences
Models and simulation
Bayes estimation
System architecture
Data analysis
Uncertainty
Probabilistic approach
Methodology
Decision support system
Estimation
Radioactive contamination
Radiation source
Modeling
Real time system
Biomedical data processing
Technique
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Summary:An outline of the uncertainty handling and data assimilation framework within a Bayesian frame is given, illustrated by its use with RODOS. Particular emphasis is paid to the need for compatible methodologies and data structures to hold uncertainty assessments throughout all the modules of a decision support system. Progress at developing techniques and modules is described: (i) to use belief nets to predict the source term when an accidental release threatens; (ii) to estimate the source term using a ring of gamma monitors at the periphery of the plant; and (iii) to estimate the source term from both near and more distant measurements. The management of uncertainties in the food chain modelling is briefly indicted. Finally, the issue of moving the basis of prediction from modelling approaches to databases of environmental measurements is discussed.
Bibliography:istex:4D95C4FD32186C22221E9591071F9C475B0E94FA
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PII:0144-8420
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ObjectType-Article-2
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content type line 23
ISSN:0144-8420
1742-3406
DOI:10.1093/oxfordjournals.rpd.a032163