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2012 | OriginalPaper | Buchkapitel

Radon Level in Dwellings and Uranium Content in Soil in the Abruzzo Region: A Preliminary Investigation by Geographically Weighted Regression

verfasst von : Eugenia Nissi, Annalina Sarra, Sergio Palermi

Erschienen in: Advanced Statistical Methods for the Analysis of Large Data-Sets

Verlag: Springer Berlin Heidelberg

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Abstract

Radon is a noble gas coming from the natural decay of uranium. It can migrate from the underlying soil into buildings, where sometimes very high concentration can be found, particularly in the basement or at ground floor. It contributes up to about the 50% of the ionizing radiation dose received by the population, constituting a real health hazard. In this study, we use the geographically weighted regression (GWR) technique to detect spatial non-stationarity of the relationship between indoor radon concentration and the radioactivity content of soil in the Provincia of L’Aquila, in the Abruzzo region (Central Italy). Radon measurements have been taken in a sample of 481 dwellings. Local estimates are obtained and discussed. The significance of the spatial variability in the local parameter estimates is examined by performing a Monte Carlo test.

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Vorheriges Kapitel Reduced Rank Covariances for the Analysis of Environmental Data

Nächstes Kapitel Applications of Large Deviations to Hidden Markov Chains Estimation

²¹⁴Bi and ²⁰⁸Tl belong to the short lived progeny of ²²²Rn (radon itself, coming from ²³⁸U) and ²²⁰Rn (the isotope coming from ²³²Th), respectively. It should be noted that the eU and eTh data do not imply that uranium and thorium are actually present in soil samples, since these elements can be leached away while radium remains in situ, causing a breakdown of secular equilibrium assumption.

The semivariograms γ(d) have been modelled by means of isotropic exponential functions as:\(\gamma (d) = {\tau }^{2} + {\sigma }^{2}(1 -\exp (-d/R))\) where d is the modulus of Euclidean distance between pairs of data points, calculated from the geographical coordinates of each dwellings, and τ², σ² and R are parameters known as, respectively, nugget, partial sill and range (Olea 1999).

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Titel: Radon Level in Dwellings and Uranium Content in Soil in the Abruzzo Region: A Preliminary Investigation by Geographically Weighted Regression
verfasst von: Eugenia Nissi
Annalina Sarra
Sergio Palermi
Verlag: Springer Berlin Heidelberg
Buch: Advanced Statistical Methods for the Analysis of Large Data-Sets
Print ISBN: 978-3-642-21036-5

Electronic ISBN: 978-3-642-21037-2

Copyright-Jahr: 2012
DOI: https://doi.org/10.1007/978-3-642-21037-2_24

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