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State-Space Dynamic Model for Estimation of Radon Entry Rate, based on Kalman Filtering
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SYSNO ASEP 0084270 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title State-Space Dynamic Model for Estimation of Radon Entry Rate, based on Kalman Filtering Title Dynamický model pro odhad radonového přísunu, založený na state-space přístupu a Kalmanovské filtraci Author(s) Brabec, Marek (UIVT-O) RID, SAI, ORCID
Jílek, K. (CZ)Source Title Journal of Environmental Radioactivity. - : Elsevier - ISSN 0265-931X
Roč. 98, - (2007), s. 285-297Number of pages 11 s. Language eng - English Country GB - United Kingdom Keywords air ventilation rate ; radon entry rate ; state-space modeling ; extended Kalman filter ; maximum likelihood estimation ; prediction error decomposition Subject RIV BB - Applied Statistics, Operational Research CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000251912400005 EID SCOPUS 36148968411 DOI 10.1016/j.jenvrad.2007.05.006 Annotation To predict the radon concentration in a house environment and to understand the role of all factors affecting its behavior, it is necessary to ecognize time variation in both air exchange rate and radon entry rate into a house. This paper describes a new approach to the separation of their effects, which effectively allows continuous estimation of both radon entry rate and air exchange rate from simultaneous tracer gas (CO) and radon gas measurement data. It is based on a state-space statistical model permitting efficient calculations. After introducing the statistical model formally, its performance is demonstrated on real data from measurements from an experimental room. To verify our method, radon entry rate calculated via proposed statistical model was compared with known reference value. The results from several days of measurement indicated fairly good agreement (up to 5% between reference value radon entry rate and its value calculated via proposed method, on average). Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2008
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