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Probabilistic data assimilation within RODOS

Smith, Jim Q.; Faria, Á. E.; French, S.; Raniard, D.; Vlesshouwer, D.; Bohunova, J.; Duranova, T.; Stubna, M.; Dutton, L.; Rojas, C. and Sohier, A. (1997). Probabilistic data assimilation within RODOS. Radiation Protection Dosimetry, 73(1) pp. 57–59.

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An outline of the uncertainty handling and data assimilation framework within a Bayesian frame is given, illustrated by its use within 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 indicated. Finally, the issue of moving the basis of prediction from modelling approaches to databases of environmental measurements is discussed.

Item Type: Journal Item
Copyright Holders: 1997 Oxford University Press
ISSN: 1742-3406
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 40282
Depositing User: Álvaro Faria
Date Deposited: 29 May 2014 11:40
Last Modified: 07 Dec 2018 10:23
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