Radiation source rate estimation through data assimilation of gamma dose rate measurements for operational nuclear emergency response systems | Zendy

V. Tsiouri | Zendy; S. Andronopoulos | Zendy; Ivan Коvalets | Zendy; Leisa Dyer | Zendy; J.G. Bartzis | Zendy

Open Access

Radiation source rate estimation through data assimilation of gamma dose rate measurements for operational nuclear emergency response systems

Author(s) -

V. Tsiouri,

S. Andronopoulos,

Ivan Коvalets,

Leisa Dyer,

J.G. Bartzis

Publication year - 2012

Publication title -

international journal of environment and pollution

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.167

H-Index - 46

eISSN - 1741-5101

pISSN - 0957-4352

DOI - 10.1504/ijep.2012.051209

Subject(s) - data assimilation , atmospheric dispersion modeling , environmental science , dose rate , emergency response , radionuclide , meteorology , dispersion (optics) , atmosphere (unit) , lagrangian , computer science , nuclear engineering , remote sensing , engineering , mathematics , physics , air pollution , chemistry , nuclear physics , geography , radiochemistry , medicine , organic chemistry , medical emergency , optics

This paper presents an evaluation of an innovative data assimilationmethod that has been recently developed in NCSR Demokritos for estimatingan unknown emission rate of radionuclides in the atmosphere, with real-scaleexperimental data. The efficient algorithm is based on the assimilation ofgamma dose rate measured data in the Lagrangian atmospheric dispersionmodel DIPCOT and uses variational principles. The DIPCOT model is used inthe framework of the nuclear emergency response system (ERS) RODOS. Theevaluation is performed by computational simulations of dispersion of Ar-41that was emitted routinely by the Australian Nuclear Science and TechnologyOrganisation’s (ANSTO) previous research reactor, HIFAR, located in Sydney,Australia. In this paper the algorithm is evaluated against a more complicatedRadiation source rate estimation through data assimilation 387case than the others used in previous studies: There was only one monitoringstation available each day and the site topography is characterised asmoderately complex. Overall the estimated release rate approaches the real oneto a very satisfactory degree as revealed by the statistical indicators of errors. © 2012 Inderscience Enterprises Ltd

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