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Dynamical Model for Indoor Radon Concentration Monitoring

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    SYSNO ASEP0323999
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleDynamical Model for Indoor Radon Concentration Monitoring
    TitleDynamický model pro koncentraci radonu v budovách
    Author(s) Brabec, Marek (UIVT-O) RID, SAI, ORCID
    Jílek, K. (CZ)
    Source TitleEnvironmetrics - ISSN 1180-4009
    Roč. 20, č. 6 (2009), s. 718-729
    Number of pages12 s.
    ActionTIES 2007. Annual Meeting of the International Environmental Society /18./
    Event date16.08.2007-20.08.2007
    VEvent locationMikulov
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsnon-parametric regression ; dynamic modeling ; time-varying coefficients
    Subject RIVBB - Applied Statistics, Operational Research
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000271150100010
    EID SCOPUS70349917994
    DOI10.1002/env.973
    AnnotationIn this paper,we will deal with interesting example of natural risk modeling - namely of indoor radon concentration. We will illustrate, how the traditional view based on fixed (i.e., time-invariant) coefficient models can be misleading. Then we formulate a nonparametric regression dynamic model as a doable alternative. Situation is not entirely standard here, as the smoothed and weight-giving variables are different. We illustrate on data coming from a rare intensive measurement campaign in an occupied house with simultaneous measurements taken in different rooms. We also illustrate how even such a simple model can produce behavior that throws some light on radon experts' discussions about natural radon concentration circadial movement phase. This is because the model acts as a linear but time-varying filter that can change not only amplitude but also phase between different rooms of the same house, suggesting that there might not be a universal phase of (e.g., daily) radon variation.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2010
Number of the records: 1  

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