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    Wyświetlanie 1-3 z 3
    Tytuł:
    The use of multivariate analysis of the radon variability in the underground laboratory and indoor environment
    Autorzy:
    Filipović, J.
    Maletić, D.
    Udovičić, V.
    Banjanac, R.
    Joković, D.
    Savić, M.
    Veselinović, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/147023.pdf
    Data publikacji:
    2016
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    multivariate analysis
    radon variability
    Opis:
    The paper presents results of multivariate analysis of variations of radon concentrations in the shallow underground laboratory and a family house, depending on meteorological variables only. All available multivariate classifi cation and regression methods, developed for data analysis in high-energy physics and implemented in the toolkit for multivariate analysis (TMVA) software package in ROOT, are used in the analysis. The result of multivariate regression analysis is a mapped functional behaviour of variations of radon concentration depending on meteorological variables only, which can be used for the evaluation of radon concentration, as well as to help with modelling of variation of radon concentration. The results of analysis of the radon concentration variations in the underground laboratory and real indoor environment, using multivariate methods, demonstrated the potential usefulness of these methods. Multivariate analysis showed that there is a potentially considerable prediction power of variations of indoor radon concentrations based on the knowledge of meteorological variables only. In addition, the online system using the resulting mapped functional behaviour for underground laboratory in the Institute of Physics Belgrade is implemented, and the resulting evaluation of radon concentrations are presented in this paper.
    Źródło:
    Nukleonika; 2016, 61, 3; 357-360
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Radon variability due to floor level in two typical residential buildings in Serbia
    Autorzy:
    Udovicic, Vladimir
    Veselinovic, Nikola
    Maletic, Dimitrije
    Banjanac, Radomir
    Dragic, Aleksandar
    Jokovic, Dejan
    Savic, Mihailo
    Knezevic, David
    Eremic Savkovic, Maja
    Powiązania:
    https://bibliotekanauki.pl/articles/146821.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    radon variability
    time series
    Opis:
    It is well known that one of the factors that influence the indoor radon variability is the floor level of the buildings. Considering the fact that the main source of indoor radon is radon in soil gas, it is expected that the radon concentration decreases at higher floors. Thus at higher floors the dominant source of radon is originating from building materials, and in some cases there may be deviations from the generally established regularity. In such sense, we chose one freestanding single-family house with loft and other 16-floor high-rise residential building for this study. The indoor radon measurements were performed by two methods: passive and active. We used passive devices based on track-etched detectors: Radtrak2 Radonova. For the short-term indoor radon measurements, we used two active devices: SN1029 and SN1030 (manufactured by Sun Nuclear Corporation). The first device was fixed in the living room at the ground level and the second was moved through the floors of the residential building. Every measuring cycle at the specified floor lasted seven days with the sampling time of 2 h. The results show two different indoor radon behaviours regarding radon variability due to floor level. In the single-family house with loft we registered intense difference between radon concentration in the ground level and loft, while in the high-rise residential building the radon level was almost the same at all floors, and hence we may conclude that radon originated mainly from building materials.
    Źródło:
    Nukleonika; 2020, 65, 2; 121-125
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity
    Autorzy:
    Loffredo, Filomena
    Scala, Antonio
    Adinolfi, Guido Maria
    Savino, Federica
    Quarto, Maria
    Powiązania:
    https://bibliotekanauki.pl/articles/147965.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Chemii i Techniki Jądrowej
    Tematy:
    geographical variability
    geostatistics
    Gini coefficient
    Lorenz curve
    radon concentration
    variogram
    Opis:
    The population is continuously exposed to a background level of ionizing radiation due to the natural radioactivity and, in particular, with radon (222Rn). Radon gas has been classified as the second leading cause of lung cancer after tobacco smoke [1]. In the confined environment, radon concentration can reach harmful level and vary accordingly to many factors. Since the primary source of radon in dwellings is the subsurface, the risk assessment and reduction cannot disregard the identification of the local geology and the environmental predisposing factors. In this article, we propose a new methodology, based on the computation of the Gini coefficients at different spatial scales, to estimate the spatial correlation and the geographical variability of radon concentrations. This variability can be interpreted as a signature of the different subsurface geological conditions. The Gini coefficient computation is a statistical tool widely used to determine the degree of inhomogeneity of different kinds of distributions. We generated several simulated radon distributions, and the proposed tool has been validated by comparing the variograms based on the semi-variance computation with those ones based on the Gini coefficient. The Gini coefficient variogram is shown to be a good estimator of the inhomogeneity degree of radon concentration. Indeed, it allows to better constrain the critical distance below which the radon geological source can be considered as uniform at least for the investigated length scales of variability; it also better discriminates the fluctuations due to the environmental predisposing factors from those ones due to the random spatially uncorrelated noise.
    Źródło:
    Nukleonika; 2020, 65, 2; 99-104
    0029-5922
    1508-5791
    Pojawia się w:
    Nukleonika
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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