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- W1022022024 abstract "Because radon (at least in high concentrations) is known as a health risk, it is necessary to reduce high indoor radon concentrations as well as to take precautions to avoid high indoor concentrations in new buildings. For mitigating existing high radon concentrations, it is necessary to know where the most affected buildings are located. Therefore, the administrations of many countries funded or performed themselves radon surveys to determine the radon exposure of the public and to reveal radon prone areas. But high indoor radon concentrations are not only found in areas where high soil gas radon concentrations exist and vice versa even in areas with a high geogenic radon hazard the indoor radon concentrations need not to be very high. The reason is the different construction-types of houses and partially different living styles of the inhabitants. So, there are two questions and consequently working programmes: Where to mitigate high indoor radon concentra – tions? Where to take special precautions for new build – ings? For both questions a spatial visualization by a map with predictive power is necessary. A map is the display of local estimates of a target variable. Estimating the geographical distribution of the Rn hazard and visualizing it with maps involves understanding of the statistical properties of Rn, interpreted as spatial variable. Statistical treatment of Rn is not trivial mainly due to the high spatial fluctuation of Rn related variables and the difficulty to accurately define “target variables”, which are subject to measurement, analysis and subsequent mapping. The target variable can be a radon concentraSelected statistical problems in spatial evaluation of Rn related variables Harry Friedmann, Peter Bossew" @default.
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- W1022022024 date "2010-01-01" @default.
- W1022022024 modified "2023-09-24" @default.
- W1022022024 title "Selected statistical problems in spatial evaluation of Rn related variables" @default.
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