Definition of radon prone areas in Friuli Venezia Giulia region, Italy, using geostatistical tools
| Autor: | P. Bossew, C. Giovani, C. Cafaro, M. Garavaglia |
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| Přispěvatelé: | Cafaro, Costantino, Bossew, P., Giovani, Concettina, Garavaglia, M. |
| Rok vydání: | 2014 |
| Předmět: |
Indoor radon
Health Toxicology and Mutagenesis Population Friuli Venezia Giulia region chemistry.chemical_element Geographic Mapping Radon Geostatistics Radon prone areas Ecological modelling Standard deviation Geostatistic Radiation Monitoring Environmental Chemistry Radon prone area Cluster analysis education Waste Management and Disposal Hydrology education.field_of_study Models Statistical General Medicine Pollution Friuli venezia giulia Geography Non stationarity chemistry Italy Air Pollutants Radioactive Air Pollution Indoor Geometric mean Cartography |
| Zdroj: | Journal of environmental radioactivity. 138 |
| ISSN: | 1879-1700 |
| Popis: | Studying the geographical distribution of indoor radon concentration, using geostatistical interpolation methods, has become common for predicting and estimating the risk to the population. Here we analyse the case of Friuli Venezia Giulia (FVG), the north easternmost region of Italy. Mean value and standard deviation are, respectively, 153 Bq/m3 and 183 Bq/m3. The geometric mean value is 100 Bq/m3. Spatial datasets of indoor radon concentrations are usually affected by clustering and apparent non-stationarity issues, which can eventually yield arguable results. The clustering of the present dataset seems to be non preferential. Therefore the areal estimations are not expected to be affected. Conversely, nothing can be said on the non stationarity issues and its effects. After discussing the correlation of geology with indoor radon concentration It appears they are created by the same geologic features influencing the mean and median values, and can't be eliminated via a map-based approach. To tackle these problems, in this work we deal with multiple definitions of RPA, but only in quaternary areas of FVG, using extensive simulation techniques. |
| Databáze: | OpenAIRE |
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