A geostatistical approach for mapping and uncertainty assessment of geogenic radon gas in soil in an area of southern Italy |
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Authors: | Gabriele Buttafuoco Adalisa Tallarico Giovanni Falcone Ilaria Guagliardi |
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Institution: | (1) CNR, Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Rende (CS), Italy;(2) Department of Physics, University of Calabria, Ponte Bucci, 31-C, 87036 Rende (CS), Italy;(3) Department of Geological and Environmental Studies, University of Sannio, Via dei Mulini, 59-A, 82100 Benevento, Italy |
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Abstract: | Spatial distribution of concentrations of radon gas in the soil is important for defining high risk areas because geogenic
radon is the major potential source of indoor radon concentrations regardless of the construction features of buildings. An
area of southern Italy (Catanzaro-Lamezia plain) was surveyed to study the relationship between radon gas concentrations in
the soil, geology and structural patterns. Moreover, the uncertainty associated with the mapping of geogenic radon in soil
gas was assessed. Multi-Gaussian kriging was used to map the geogenic soil gas radon concentration, while conditional sequential
Gaussian simulation was used to yield a series of stochastic images representing equally probable spatial distributions of
soil radon across the study area. The stochastic images generated by the sequential Gaussian simulation were used to assess
the uncertainty associated with the mapping of geogenic radon in the soil and they were combined to calculate the probability
of exceeding a specified critical threshold that might cause concern for human health. The study showed that emanation of
radon gas radon was also dependent on geological structure and lithology. The results have provided insight into the influence
of basement geochemistry on the spatial distribution of radon levels at the soil/atmosphere interface and suggested that knowledge
of the geology of the area may be helpful in understanding the distribution pattern of radon near the earth’s surface. |
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