Indoor radon (Rn) concentrations have been measured intensively in many countries to assess the burden of diseases associated with exposure to this radioactive gas. So-called radon-risk maps have consequently been produced to delineate areas with higher levels. Although geostatistical techniques are commonly used nowadays for mapping all possible environmental variables, in particular for generating probability maps of exceeding a given threshold, very few case studies have been published so far in which indoor radon measurements have been investigated using geostatistical techniques. By analyzing around 12000 Rn measurements made in Austrian ground floors during a 10 years survey, we aim here to review and discuss the potential of geostatistics for mapping an environmental variable that shows very strong local variability. In particular, we show how kriging of the scale components can shed new light on the various factors that affect the very high spatial variability of the variable.
DUBOIS Gregoire;
BOSSEW Peter;
FRIEDMANN Harry;
2007-05-03
ELSEVIER SCIENCE BV
JRC35279
https://publications.jrc.ec.europa.eu/repository/handle/JRC35279,
10.1016/j.scitotenv.2007.02.012,
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